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+127
-32
@@ -1,36 +1,125 @@
|
|||||||
# Telegram Bot
|
# PolyWeather backend/bot minimal reproducible config
|
||||||
TELEGRAM_BOT_TOKEN=your_bot_token_here
|
# Full configuration guide:
|
||||||
TELEGRAM_CHAT_ID=your_chat_id_here
|
# docs/CONFIGURATION_ZH.md
|
||||||
|
# Sensitive-only template:
|
||||||
|
# .env.secrets.example
|
||||||
|
|
||||||
|
########################################
|
||||||
|
# 1) Runtime paths and base behavior
|
||||||
|
########################################
|
||||||
|
ENV=production
|
||||||
|
LOG_LEVEL=INFO
|
||||||
|
POLYWEATHER_MAP_URL=https://polyweather-pro.vercel.app/
|
||||||
|
POLYWEATHER_RUNTIME_DATA_DIR=/var/lib/polyweather
|
||||||
|
POLYWEATHER_DB_PATH=/var/lib/polyweather/polyweather.db
|
||||||
|
OPEN_METEO_DISK_CACHE_PATH=/var/lib/polyweather/open_meteo_cache.json
|
||||||
|
# Optional: host user/group mapping for Docker on Linux.
|
||||||
|
# Windows / macOS can usually keep the defaults.
|
||||||
|
UID=1000
|
||||||
|
GID=1000
|
||||||
|
POLYWEATHER_STATE_STORAGE_MODE=dual
|
||||||
|
|
||||||
|
########################################
|
||||||
|
# 2) Telegram bot minimal
|
||||||
|
########################################
|
||||||
|
TELEGRAM_BOT_TOKEN=
|
||||||
|
TELEGRAM_CHAT_ID=
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||||||
|
TELEGRAM_CHAT_IDS=
|
||||||
|
TELEGRAM_QUERY_TOPIC_CHAT_ID=
|
||||||
|
TELEGRAM_QUERY_TOPIC_ID=
|
||||||
|
TELEGRAM_QUERY_TOPIC_MAP=
|
||||||
|
POLYWEATHER_BOT_GROUP_INVITE_URL=
|
||||||
|
|
||||||
|
########################################
|
||||||
|
# 3) Weather + cache
|
||||||
|
########################################
|
||||||
|
OPEN_METEO_CACHE_TTL_SEC=7200
|
||||||
|
OPEN_METEO_ENSEMBLE_CACHE_TTL_SEC=7200
|
||||||
|
OPEN_METEO_MULTI_MODEL_CACHE_TTL_SEC=7200
|
||||||
|
OPEN_METEO_MULTI_MODEL_CACHE_VERSION=v2
|
||||||
|
OPEN_METEO_RATE_LIMIT_COOLDOWN_SEC=900
|
||||||
|
OPEN_METEO_RATE_CACHE_TTL_SEC=3600
|
||||||
|
OPEN_METEO_MIN_CALL_INTERVAL_SEC=3
|
||||||
|
METAR_CACHE_TTL_SEC=600
|
||||||
|
METEOBLUE_CACHE_TTL_SEC=7200
|
||||||
|
|
||||||
|
########################################
|
||||||
|
# 4) Auth / entitlement
|
||||||
|
########################################
|
||||||
|
POLYWEATHER_AUTH_ENABLED=false
|
||||||
|
POLYWEATHER_AUTH_REQUIRED=false
|
||||||
|
POLYWEATHER_AUTH_REQUIRE_SUBSCRIPTION=false
|
||||||
|
POLYWEATHER_REQUIRE_ENTITLEMENT=false
|
||||||
|
SUPABASE_URL=
|
||||||
|
SUPABASE_ANON_KEY=
|
||||||
|
SUPABASE_SERVICE_ROLE_KEY=
|
||||||
|
SUPABASE_HTTP_TIMEOUT_SEC=8
|
||||||
|
SUPABASE_AUTH_CACHE_TTL_SEC=30
|
||||||
|
SUPABASE_SUB_CACHE_TTL_SEC=60
|
||||||
|
POLYWEATHER_BACKEND_ENTITLEMENT_TOKEN=
|
||||||
|
|
||||||
|
########################################
|
||||||
|
# 5) Alerts / operations
|
||||||
|
########################################
|
||||||
TELEGRAM_ALERT_PUSH_ENABLED=true
|
TELEGRAM_ALERT_PUSH_ENABLED=true
|
||||||
TELEGRAM_ALERT_PUSH_INTERVAL_SEC=300
|
TELEGRAM_ALERT_PUSH_INTERVAL_SEC=300
|
||||||
TELEGRAM_ALERT_PUSH_COOLDOWN_SEC=1800
|
TELEGRAM_ALERT_PUSH_COOLDOWN_SEC=1800
|
||||||
TELEGRAM_ALERT_MIN_TRIGGER_COUNT=2
|
TELEGRAM_ALERT_MIN_TRIGGER_COUNT=2
|
||||||
TELEGRAM_ALERT_MIN_SEVERITY=medium
|
TELEGRAM_ALERT_MIN_SEVERITY=medium
|
||||||
# Mispricing radar: skip push when YES buy price is above this cap (10c = 0.10)
|
|
||||||
TELEGRAM_ALERT_MISPRICING_MAX_YES_BUY=0.10
|
TELEGRAM_ALERT_MISPRICING_MAX_YES_BUY=0.10
|
||||||
TELEGRAM_ALERT_CITIES=ankara,london,paris,seoul,hong kong,shanghai,singapore,tokyo,toronto,buenos aires,wellington,new york,chicago,dallas,miami,atlanta,seattle,lucknow,sao paulo,munich
|
TELEGRAM_ALERT_CITIES=ankara,london,paris,seoul,hong kong,shanghai,singapore,tokyo,tel aviv,toronto,buenos aires,wellington,new york,chicago,dallas,miami,atlanta,seattle,lucknow,sao paulo,munich
|
||||||
|
|
||||||
# AI
|
########################################
|
||||||
GROQ_API_KEY=your_groq_api_key_here
|
# 6) Frontend-facing shared values
|
||||||
|
########################################
|
||||||
|
NEXT_PUBLIC_WALLETCONNECT_PROJECT_ID=
|
||||||
|
NEXT_PUBLIC_WALLETCONNECT_POLYGON_RPC_URL=https://polygon-bor-rpc.publicnode.com
|
||||||
|
|
||||||
# Open-Meteo (forecast data changes ~hourly, no need to refresh more often)
|
########################################
|
||||||
OPEN_METEO_CACHE_TTL_SEC=7200
|
# 7) Optional modules
|
||||||
OPEN_METEO_ENSEMBLE_CACHE_TTL_SEC=7200
|
########################################
|
||||||
OPEN_METEO_MULTI_MODEL_CACHE_TTL_SEC=7200
|
|
||||||
|
|
||||||
# Proxy Setting (optional)
|
# Weekly reward / leaderboard
|
||||||
HTTPS_PROXY=http://127.0.0.1:7890
|
POLYWEATHER_WEEKLY_REWARD_ENABLED=true
|
||||||
HTTP_PROXY=http://127.0.0.1:7890
|
POLYWEATHER_WEEKLY_REWARD_TIMEZONE=Asia/Shanghai
|
||||||
|
POLYWEATHER_WEEKLY_REWARD_SETTLE_WEEKDAY=1
|
||||||
|
POLYWEATHER_WEEKLY_REWARD_SETTLE_HOUR=0
|
||||||
|
POLYWEATHER_WEEKLY_REWARD_SETTLE_MINUTE=5
|
||||||
|
POLYWEATHER_WEEKLY_REWARD_CHECK_INTERVAL_SEC=300
|
||||||
|
POLYWEATHER_WEEKLY_REWARD_HTTP_TIMEOUT_SEC=10
|
||||||
|
POLYWEATHER_WEEKLY_REWARD_ANNOUNCE_ENABLED=true
|
||||||
|
|
||||||
# Other Settings
|
# Group message points
|
||||||
LOG_LEVEL=INFO
|
POLYWEATHER_BOT_MESSAGE_POINTS=4
|
||||||
ENV=production
|
POLYWEATHER_BOT_MESSAGE_DAILY_CAP=40
|
||||||
POLYWEATHER_MAP_URL=https://polyweather-pro.vercel.app/
|
POLYWEATHER_BOT_MESSAGE_MIN_LENGTH=3
|
||||||
# Backend entitlement guard (for /api/cities, /api/city/*, /api/history/*)
|
POLYWEATHER_BOT_MESSAGE_COOLDOWN_SEC=30
|
||||||
POLYWEATHER_REQUIRE_ENTITLEMENT=false
|
POLYWEATHER_BOT_CITY_QUERY_COST=1
|
||||||
POLYWEATHER_BACKEND_ENTITLEMENT_TOKEN=
|
POLYWEATHER_BOT_DEB_QUERY_COST=1
|
||||||
|
|
||||||
# Polymarket P0 Read-Only Market Layer
|
# Payments
|
||||||
|
POLYWEATHER_PAYMENT_ENABLED=false
|
||||||
|
POLYWEATHER_PAYMENT_CHAIN_ID=137
|
||||||
|
POLYWEATHER_PAYMENT_RPC_URL=https://polygon-rpc.com
|
||||||
|
POLYWEATHER_PAYMENT_RPC_URLS=https://polygon-rpc.com
|
||||||
|
POLYWEATHER_PAYMENT_RECEIVER_CONTRACT=
|
||||||
|
POLYWEATHER_PAYMENT_TOKEN_ADDRESS=0x2791Bca1f2de4661ED88A30C99A7a9449Aa84174
|
||||||
|
POLYWEATHER_PAYMENT_TOKEN_DECIMALS=6
|
||||||
|
POLYWEATHER_PAYMENT_ACCEPTED_TOKENS_JSON=
|
||||||
|
POLYWEATHER_PAYMENT_CONFIRMATIONS=2
|
||||||
|
POLYWEATHER_PAYMENT_INTENT_TTL_SEC=1800
|
||||||
|
POLYWEATHER_PAYMENT_WALLET_CHALLENGE_TTL_SEC=600
|
||||||
|
POLYWEATHER_PAYMENT_HTTP_TIMEOUT_SEC=10
|
||||||
|
POLYWEATHER_PAYMENT_POLL_INTERVAL_SEC=4
|
||||||
|
POLYWEATHER_PAYMENT_MAX_WAIT_SEC=50
|
||||||
|
POLYWEATHER_PAYMENT_TELEGRAM_NOTIFY_ENABLED=true
|
||||||
|
POLYWEATHER_PAYMENT_POINTS_ENABLED=true
|
||||||
|
POLYWEATHER_PAYMENT_POINTS_PER_USDC=500
|
||||||
|
POLYWEATHER_PAYMENT_POINTS_MAX_DISCOUNT_USDC=3
|
||||||
|
POLYWEATHER_PAYMENT_ALLOWED_PLAN_CODES=pro_monthly
|
||||||
|
POLYWEATHER_PAYMENT_PLAN_CATALOG_JSON=
|
||||||
|
|
||||||
|
# Polymarket market scan
|
||||||
POLYMARKET_MARKET_SCAN_ENABLED=true
|
POLYMARKET_MARKET_SCAN_ENABLED=true
|
||||||
POLYMARKET_GAMMA_URL=https://gamma-api.polymarket.com
|
POLYMARKET_GAMMA_URL=https://gamma-api.polymarket.com
|
||||||
POLYMARKET_CLOB_URL=https://clob.polymarket.com
|
POLYMARKET_CLOB_URL=https://clob.polymarket.com
|
||||||
@@ -43,10 +132,10 @@ POLYMARKET_DISCOVERY_LIMIT=200
|
|||||||
POLYMARKET_SIGNAL_MIN_LIQUIDITY=500
|
POLYMARKET_SIGNAL_MIN_LIQUIDITY=500
|
||||||
POLYMARKET_SIGNAL_EDGE_PCT=2
|
POLYMARKET_SIGNAL_EDGE_PCT=2
|
||||||
|
|
||||||
# Polygon Wallet Watcher (Single Chain P0)
|
# Polygon watcher
|
||||||
POLYGON_WALLET_WATCH_ENABLED=false
|
POLYGON_WALLET_WATCH_ENABLED=false
|
||||||
POLYGON_RPC_URL=https://polygon-rpc.com
|
POLYGON_RPC_URL=https://polygon-rpc.com
|
||||||
POLYGON_WALLET_WATCH_ADDRESSES=0x0000000000000000000000000000000000000000
|
POLYGON_WALLET_WATCH_ADDRESSES=
|
||||||
POLYGON_WALLET_WATCH_INTERVAL_SEC=8
|
POLYGON_WALLET_WATCH_INTERVAL_SEC=8
|
||||||
POLYGON_WALLET_WATCH_CONFIRMATIONS=2
|
POLYGON_WALLET_WATCH_CONFIRMATIONS=2
|
||||||
POLYGON_WALLET_WATCH_MAX_BLOCKS_PER_CYCLE=30
|
POLYGON_WALLET_WATCH_MAX_BLOCKS_PER_CYCLE=30
|
||||||
@@ -56,17 +145,15 @@ POLYGON_WALLET_WATCH_TX_BASE=https://polygonscan.com/tx
|
|||||||
POLYGON_WALLET_WATCH_ADDR_BASE=https://polygonscan.com/address
|
POLYGON_WALLET_WATCH_ADDR_BASE=https://polygonscan.com/address
|
||||||
POLYGON_WALLET_WATCH_POLYMARKET_ONLY=true
|
POLYGON_WALLET_WATCH_POLYMARKET_ONLY=true
|
||||||
POLYGON_WALLET_WATCH_INCLUDE_DEFAULT_PM_CONTRACTS=true
|
POLYGON_WALLET_WATCH_INCLUDE_DEFAULT_PM_CONTRACTS=true
|
||||||
# Optional custom Polymarket contracts, format: LABEL:0x...,LABEL2:0x...
|
|
||||||
POLYGON_WALLET_WATCH_POLYMARKET_CONTRACTS=
|
POLYGON_WALLET_WATCH_POLYMARKET_CONTRACTS=
|
||||||
|
|
||||||
# Polymarket Wallet Activity Watcher (all markets, not weather-only)
|
# Polymarket wallet activity
|
||||||
POLYMARKET_WALLET_ACTIVITY_ENABLED=false
|
POLYMARKET_WALLET_ACTIVITY_ENABLED=false
|
||||||
POLYMARKET_WALLET_ACTIVITY_USERS=0x0000000000000000000000000000000000000000
|
POLYMARKET_WALLET_ACTIVITY_USERS=
|
||||||
# Optional wallet nicknames:
|
POLYMARKET_WALLET_ACTIVITY_CHAT_ID=
|
||||||
# - CSV: 0xabc...=Whale_A,0xdef...=Main_Account
|
POLYMARKET_WALLET_ACTIVITY_CHAT_IDS=
|
||||||
# - JSON: {"0xabc...":"Whale A","0xdef...":"Main Account"}
|
POLYMARKET_WALLET_ACTIVITY_TOPIC_CHAT_ID=
|
||||||
# - Env key: POLYMARKET_WALLET_ACTIVITY_USER_ALIASES
|
POLYMARKET_WALLET_ACTIVITY_TOPIC_ID=
|
||||||
# (legacy typo POLYMARKET_WALLET_ACTIVITY_USERS_ALIASES is also accepted)
|
|
||||||
POLYMARKET_WALLET_ACTIVITY_USER_ALIASES=
|
POLYMARKET_WALLET_ACTIVITY_USER_ALIASES=
|
||||||
POLYMARKET_WALLET_ACTIVITY_DATA_API_URL=https://data-api.polymarket.com
|
POLYMARKET_WALLET_ACTIVITY_DATA_API_URL=https://data-api.polymarket.com
|
||||||
POLYMARKET_WALLET_ACTIVITY_INTERVAL_SEC=20
|
POLYMARKET_WALLET_ACTIVITY_INTERVAL_SEC=20
|
||||||
@@ -85,3 +172,11 @@ POLYMARKET_WALLET_ACTIVITY_UPDATE_DEBOUNCE_SEC=30
|
|||||||
POLYMARKET_WALLET_ACTIVITY_UPDATE_MAX_HOLD_SEC=120
|
POLYMARKET_WALLET_ACTIVITY_UPDATE_MAX_HOLD_SEC=120
|
||||||
POLYMARKET_WALLET_ACTIVITY_AVG_PRICE_SHOW_MIN=0.01
|
POLYMARKET_WALLET_ACTIVITY_AVG_PRICE_SHOW_MIN=0.01
|
||||||
POLYMARKET_WALLET_ACTIVITY_AVG_PRICE_SHOW_MAX=0.99
|
POLYMARKET_WALLET_ACTIVITY_AVG_PRICE_SHOW_MAX=0.99
|
||||||
|
POLYMARKET_WALLET_ACTIVITY_MIN_POSITION_VALUE_USD=0
|
||||||
|
POLYMARKET_WALLET_ACTIVITY_MIN_VALUE_EXEMPT_USERS=
|
||||||
|
|
||||||
|
########################################
|
||||||
|
# 8) Optional proxies
|
||||||
|
########################################
|
||||||
|
HTTPS_PROXY=
|
||||||
|
HTTP_PROXY=
|
||||||
|
|||||||
@@ -0,0 +1,44 @@
|
|||||||
|
# PolyWeather secrets-only template
|
||||||
|
# Copy the required lines into your real `.env` / platform secret manager.
|
||||||
|
# Never commit actual values.
|
||||||
|
|
||||||
|
########################################
|
||||||
|
# Telegram
|
||||||
|
########################################
|
||||||
|
TELEGRAM_BOT_TOKEN=
|
||||||
|
|
||||||
|
########################################
|
||||||
|
# Supabase
|
||||||
|
########################################
|
||||||
|
SUPABASE_URL=
|
||||||
|
SUPABASE_ANON_KEY=
|
||||||
|
SUPABASE_SERVICE_ROLE_KEY=
|
||||||
|
NEXT_PUBLIC_SUPABASE_URL=
|
||||||
|
NEXT_PUBLIC_SUPABASE_ANON_KEY=
|
||||||
|
|
||||||
|
########################################
|
||||||
|
# Entitlement / dashboard
|
||||||
|
########################################
|
||||||
|
POLYWEATHER_BACKEND_ENTITLEMENT_TOKEN=
|
||||||
|
POLYWEATHER_DASHBOARD_ACCESS_TOKEN=
|
||||||
|
|
||||||
|
########################################
|
||||||
|
# Meteoblue / third-party APIs
|
||||||
|
########################################
|
||||||
|
METEOBLUE_API_KEY=
|
||||||
|
|
||||||
|
########################################
|
||||||
|
# Wallet / payments
|
||||||
|
########################################
|
||||||
|
NEXT_PUBLIC_WALLETCONNECT_PROJECT_ID=
|
||||||
|
POLYWEATHER_PAYMENT_RECEIVER_CONTRACT=
|
||||||
|
POLYWEATHER_PAYMENT_ACCEPTED_TOKENS_JSON=
|
||||||
|
POLYWEATHER_PAYMENT_PLAN_CATALOG_JSON=
|
||||||
|
|
||||||
|
########################################
|
||||||
|
# Optional exchange / market secrets
|
||||||
|
########################################
|
||||||
|
POLYMARKET_API_KEY=
|
||||||
|
POLYMARKET_SECRET_KEY=
|
||||||
|
POLYMARKET_PASSPHRASE=
|
||||||
|
POLYMARKET_WALLET_ADDRESS=
|
||||||
@@ -0,0 +1,61 @@
|
|||||||
|
name: CI
|
||||||
|
|
||||||
|
on:
|
||||||
|
push:
|
||||||
|
branches:
|
||||||
|
- main
|
||||||
|
pull_request:
|
||||||
|
|
||||||
|
jobs:
|
||||||
|
python-quality:
|
||||||
|
runs-on: ubuntu-latest
|
||||||
|
steps:
|
||||||
|
- name: Checkout
|
||||||
|
uses: actions/checkout@v4
|
||||||
|
|
||||||
|
- name: Set up Python
|
||||||
|
uses: actions/setup-python@v5
|
||||||
|
with:
|
||||||
|
python-version: "3.11"
|
||||||
|
|
||||||
|
- name: Install dependencies
|
||||||
|
run: |
|
||||||
|
python -m pip install --upgrade pip
|
||||||
|
pip install -r requirements.txt -r requirements-dev.txt
|
||||||
|
|
||||||
|
- name: Ruff
|
||||||
|
run: python -m ruff check .
|
||||||
|
|
||||||
|
- name: Pytest
|
||||||
|
run: python -m pytest
|
||||||
|
|
||||||
|
frontend-quality:
|
||||||
|
runs-on: ubuntu-latest
|
||||||
|
defaults:
|
||||||
|
run:
|
||||||
|
working-directory: frontend
|
||||||
|
steps:
|
||||||
|
- name: Checkout
|
||||||
|
uses: actions/checkout@v4
|
||||||
|
|
||||||
|
- name: Set up Node
|
||||||
|
uses: actions/setup-node@v4
|
||||||
|
with:
|
||||||
|
node-version: "20"
|
||||||
|
cache: "npm"
|
||||||
|
cache-dependency-path: frontend/package-lock.json
|
||||||
|
|
||||||
|
- name: Install dependencies
|
||||||
|
run: npm ci
|
||||||
|
|
||||||
|
- name: Build
|
||||||
|
run: npm run build
|
||||||
|
|
||||||
|
docker-build:
|
||||||
|
runs-on: ubuntu-latest
|
||||||
|
steps:
|
||||||
|
- name: Checkout
|
||||||
|
uses: actions/checkout@v4
|
||||||
|
|
||||||
|
- name: Build Docker image
|
||||||
|
run: docker build -t polyweather-ci .
|
||||||
+12
@@ -2,6 +2,9 @@
|
|||||||
.env
|
.env
|
||||||
|
|
||||||
# Data and Logs
|
# Data and Logs
|
||||||
|
data/*.db
|
||||||
|
data/*.db-*
|
||||||
|
data/*.db.*
|
||||||
data/*.json
|
data/*.json
|
||||||
data/logs/
|
data/logs/
|
||||||
data/historical/
|
data/historical/
|
||||||
@@ -30,3 +33,12 @@ Thumbs.db
|
|||||||
frontend/node_modules/
|
frontend/node_modules/
|
||||||
frontend/.next/
|
frontend/.next/
|
||||||
frontend/.vercel/
|
frontend/.vercel/
|
||||||
|
frontend/*.tsbuildinfo
|
||||||
|
|
||||||
|
.npm-cache/
|
||||||
|
.env.local
|
||||||
|
.vercel/
|
||||||
|
|
||||||
|
# Browser extension build artifacts
|
||||||
|
/extension.zip
|
||||||
|
/extension-*.zip
|
||||||
|
|||||||
Vendored
+5
@@ -0,0 +1,5 @@
|
|||||||
|
{
|
||||||
|
"css.validate": false,
|
||||||
|
"scss.validate": false,
|
||||||
|
"less.validate": false
|
||||||
|
}
|
||||||
@@ -0,0 +1,37 @@
|
|||||||
|
# Changelog
|
||||||
|
|
||||||
|
## 1.5.1 - 2026-03-23
|
||||||
|
|
||||||
|
- `/ops` 页面增加管理员守卫,前后端双层限制管理员访问
|
||||||
|
- `/ops` 支持会员列表、支付异常单、用户查询、周榜和手动补分
|
||||||
|
- `/ops` 支付异常单支持按原因筛选、标记已处理,并补充支付异常审计视图
|
||||||
|
- 会员列表支持按 `user_id` 去重,并优先回补 Supabase Auth 邮箱/注册时间
|
||||||
|
- 新增按邮箱补跑订阅恢复脚本 `scripts/reconcile_subscription_by_email.py`
|
||||||
|
- 支付确认失败(如 `receiver_mismatch`)现在会明确落 `failed`,并写入 SQLite 审计事件
|
||||||
|
- 支付前强制重新拉取 `/api/payments/config`,并校验最新地址、允许域名和当前支付上下文
|
||||||
|
- 浏览器钱包选择补齐 EIP-6963 发现、稳定去重和绑定后账户状态即时刷新
|
||||||
|
- 城市详情页新增 `官方参考 / Official Sources` 区块,覆盖主要城市的官方机构/机场/METAR 链接
|
||||||
|
- “今日日内分析”结构解读改为后端同源动态短评,并统一网页与 Bot 解释口径
|
||||||
|
- 台北主结算源切换到 `NOAA RCTP`,按最终质控后的最高整度摄氏值展示和说明
|
||||||
|
- 浏览器插件同步台北 `NOAA RCTP` 结算参考标签和说明
|
||||||
|
- `/ops` 手机端收口为卡片化视图,保留桌面表格
|
||||||
|
|
||||||
|
|
||||||
|
## Unreleased
|
||||||
|
|
||||||
|
## 1.5.0 - 2026-03-21
|
||||||
|
|
||||||
|
- 运行态状态与缓存支持 SQLite 渐进迁移,新增 `POLYWEATHER_STATE_STORAGE_MODE=file|dual|sqlite`
|
||||||
|
- 新增 `/healthz`、`/api/system/status`、`/metrics`
|
||||||
|
- 新增支付运行态接口 `/api/payments/runtime`
|
||||||
|
- 支付侧新增 SQLite 审计事件、事件重放脚本与多 RPC 容灾支持
|
||||||
|
- 新增支付静态审计脚本与 V2 合约升级草案
|
||||||
|
- 统一周积分显示口径,`/top` 中“我的状态”改为累计发言/本周排名/本周积分
|
||||||
|
- 文档同步更新为 2026-03-20 当前状态
|
||||||
|
|
||||||
|
## 1.4.0 - 2026-03-14
|
||||||
|
|
||||||
|
- 统一收费阶段产品口径,发布 PolyWeather Pro `v1.4.0`
|
||||||
|
- 前端交付覆盖账户、支付、权限展示与缓存策略
|
||||||
|
- 支付链路支持 intent -> submit -> confirm 与自动补单
|
||||||
|
- 文档统一切换到单一版本源管理
|
||||||
+63
-243
@@ -1,262 +1,82 @@
|
|||||||
# 前端重新设计完成报告
|
# 前端交付与重构报告(v1.5.1)
|
||||||
|
|
||||||
## 概述
|
最后更新:`2026-03-14`
|
||||||
|
|
||||||
按照 `docs/images/demo_map.png` 的设计,已成功重新设计和实现了 PolyWeather 首页核心布局。
|
## 1. 报告目的
|
||||||
|
|
||||||
## 核心设计
|
说明当前线上前端(`frontend/`)在收费阶段的实际交付状态。
|
||||||
|
|
||||||
### 三列布局架构
|
## 2. 当前前端架构
|
||||||
|
|
||||||
```
|
```mermaid
|
||||||
┌─────────────────────────────────────────────────────────────┐
|
flowchart LR
|
||||||
│ 顶部导航栏 (高度: 48px) │
|
B["Browser"] --> N["Next.js App Router (Vercel)"]
|
||||||
├──────────────┬──────────────────────────────┬───────────────┤
|
N --> RH["Route Handlers /api/*"]
|
||||||
│ │ │ │
|
RH --> F["FastAPI (VPS)"]
|
||||||
│ 左侧边栏 │ 中央地图展示区 │ 右侧详情面板 │
|
|
||||||
│ (宽: 192px)│ (Leaflet全球地图) │ (宽: 288px) │
|
N --> STORE["Dashboard Store"]
|
||||||
│ │ │ │
|
STORE --> MAP["MapCanvas"]
|
||||||
│ • Logo │ • 全球地图视图 │ • 大温度显示 │
|
STORE --> SIDEBAR["CitySidebar"]
|
||||||
│ • 搜索框 │ • 彩色圆形标记 │ • 观测信息 │
|
STORE --> PANEL["DetailPanel + Modal"]
|
||||||
│ • 城市列表 │ • 风险等级标色 │ • 小时趋势图 │
|
STORE --> ACCOUNT["Account Center + Pro Overlay"]
|
||||||
│ • 温度显示 │ │ • 概率分布 │
|
|
||||||
│ │ │ • 多模型预报 │
|
|
||||||
│ │ │ • 多日预报 │
|
|
||||||
└──────────────┴──────────────────────────────┴───────────────┘
|
|
||||||
```
|
```
|
||||||
|
|
||||||
x
|
## 3. 已落地能力
|
||||||
|
|
||||||
## 实现细节
|
### 3.1 信息架构与交互
|
||||||
|
|
||||||
### 1. 左侧城市列表面板 (192px)
|
- 风险分组侧栏折叠(持久化)。
|
||||||
|
- 选中城市状态持久化。
|
||||||
|
- 今日分析、历史对账、未来日期分析联动。
|
||||||
|
|
||||||
```
|
### 3.2 收费相关
|
||||||
功能:
|
|
||||||
• Logo 和标题: "PolyWeather"
|
|
||||||
• 搜索输入框: 搜索城市功能
|
|
||||||
• 城市列表:
|
|
||||||
- 显示所有支持的城市
|
|
||||||
- 当前温度显示
|
|
||||||
- 风险等级颜色指示器
|
|
||||||
- 活跃城市高亮显示
|
|
||||||
- 可点击选择切换城市
|
|
||||||
|
|
||||||
样式:
|
- 账户中心(登录态、积分、订阅状态、钱包管理)。
|
||||||
- 背景: slate-900/50
|
- Pro 解锁浮层(套餐、积分抵扣、FAQ、社群入口)。
|
||||||
- 边框: slate-800
|
- 钱包绑定:浏览器扩展钱包 + WalletConnect 扫码。
|
||||||
- 活跃状态: cyan-500 高亮
|
- 支付流程:create intent -> submit -> confirm。
|
||||||
- 悬停效果: bg-slate-800/30
|
- `confirm pending` 时自动轮询 intent 状态,确认后自动刷新订阅态。
|
||||||
|
|
||||||
|
### 3.3 缓存与性能
|
||||||
|
|
||||||
|
- BFF `ETag/304`:`cities` / `summary` / `history`。
|
||||||
|
- `summary?force_refresh=true` => `no-store`。
|
||||||
|
- `sessionStorage` + in-flight 去重。
|
||||||
|
- `localStorage`:选中城市、侧栏折叠状态。
|
||||||
|
|
||||||
|
### 3.4 可访问性与稳定性
|
||||||
|
|
||||||
|
- 详情面板 `inert + blur` 焦点冲突修复。
|
||||||
|
- 关键支付错误文案标准化(用户取消、gas 不足、pending)。
|
||||||
|
|
||||||
|
## 4. 当前明确未做
|
||||||
|
|
||||||
|
- 离线能力(Service Worker / IndexedDB)
|
||||||
|
- 前端级财务报表与退款后台(后端/运营侧)
|
||||||
|
|
||||||
|
## 5. 验收建议
|
||||||
|
|
||||||
|
### 5.1 前端构建
|
||||||
|
|
||||||
|
```bash
|
||||||
|
cd frontend
|
||||||
|
npm run build
|
||||||
```
|
```
|
||||||
|
|
||||||
### 2. 中央地图展示区 (Leaflet)
|
### 5.2 缓存验收
|
||||||
|
|
||||||
```
|
```bash
|
||||||
功能:
|
./scripts/validate_frontend_cache.sh "https://polyweather-pro.vercel.app"
|
||||||
• Leaflet 全球地图
|
|
||||||
• 动态缩放控制
|
|
||||||
• 多个城市标记
|
|
||||||
|
|
||||||
标记样式:
|
|
||||||
• 圆形标记,半径 24px
|
|
||||||
• 显示当前温度(度数字)
|
|
||||||
• 颜色编码 (基于风险等级):
|
|
||||||
- 高风险: 红色 (#ef4444)
|
|
||||||
- 中风险: 橙色 (#f97316)
|
|
||||||
- 低风险: 绿色 (#10b981)
|
|
||||||
- 默认: 青色 (#06b6d4)
|
|
||||||
• 发光效果: box-shadow
|
|
||||||
• 点击弹窗显示详细信息
|
|
||||||
```
|
```
|
||||||
|
|
||||||
### 3. 右侧详情面板 (288px)
|
### 5.3 支付验收
|
||||||
|
|
||||||
#### a. 大温度显示区域
|
- 绑定钱包
|
||||||
|
- 创建 intent
|
||||||
|
- 发交易
|
||||||
|
- 验证 `intent` 状态从 `submitted -> confirmed`
|
||||||
|
- 校验账户页订阅状态更新
|
||||||
|
|
||||||
```
|
## 6. 结论
|
||||||
┌─────────────────────────────────┐
|
|
||||||
│ │
|
|
||||||
│ 12.0°C │
|
|
||||||
│ (文字大小: 3xl/48px) │
|
|
||||||
│ (颜色: 青色 - cyan-400) │
|
|
||||||
│ │
|
|
||||||
│ 观测时间: 11°C @17:00 │
|
|
||||||
│ │
|
|
||||||
│ ┌────┬────┬────┐ │
|
|
||||||
│ │Obs │DEB │Fcst│ │
|
|
||||||
│ │1.0 │6.6 │5.9 │ (三列参考) │
|
|
||||||
│ └────┴────┴────┘ │
|
|
||||||
│ │
|
|
||||||
└─────────────────────────────────┘
|
|
||||||
```
|
|
||||||
|
|
||||||
#### b. 小时趋势图
|
前端已具备收费阶段的核心能力(账户、支付、权限展示、状态回收),可支持持续商业迭代。
|
||||||
|
|
||||||
```
|
|
||||||
简化的柱状图:
|
|
||||||
• 显示最近 12 小时的温度
|
|
||||||
• 动态高度基于温度值
|
|
||||||
• 渐变颜色: cyan-500 → cyan-400
|
|
||||||
• 高度: 80px
|
|
||||||
```
|
|
||||||
|
|
||||||
#### c. 概率分布
|
|
||||||
|
|
||||||
```
|
|
||||||
水平条形图:
|
|
||||||
• 显示温度概率分布
|
|
||||||
• 显示前 3 个最高概率的温度范围
|
|
||||||
• 动态条形宽度
|
|
||||||
• 渐变背景: cyan-500 → emerald-500
|
|
||||||
```
|
|
||||||
|
|
||||||
#### d. 多模型预报
|
|
||||||
|
|
||||||
```
|
|
||||||
模型列表 (GFS, ECMWF, ICON, GEM, Open-Meteo, DEB):
|
|
||||||
• 每个模型显示一条横向进度条
|
|
||||||
• 指示器显示预报值在范围内的位置
|
|
||||||
• 显示精确温度值
|
|
||||||
• 支持动态模型范围计算
|
|
||||||
```
|
|
||||||
|
|
||||||
#### e. 多日预报
|
|
||||||
|
|
||||||
```
|
|
||||||
4 天预报卡片:
|
|
||||||
• 网格布局 (4列)
|
|
||||||
• 显示日期 (Day 0, Day 1, ...)
|
|
||||||
• 显示最高温度
|
|
||||||
• 简洁的卡片设计
|
|
||||||
```
|
|
||||||
|
|
||||||
## 颜色主题
|
|
||||||
|
|
||||||
### 暗色主题 (Dark Mode)
|
|
||||||
|
|
||||||
```
|
|
||||||
背景:
|
|
||||||
- 主背景: slate-950 (#030712)
|
|
||||||
- 面板背景: slate-900/50
|
|
||||||
- 组件背景: slate-800/50
|
|
||||||
|
|
||||||
文本:
|
|
||||||
- 主文本: slate-200
|
|
||||||
- 次文本: slate-400
|
|
||||||
- 强调文本: cyan-400 (#06b6d4)
|
|
||||||
|
|
||||||
边框:
|
|
||||||
- 主边框: slate-800
|
|
||||||
- 次边框: slate-700/50
|
|
||||||
|
|
||||||
强调色:
|
|
||||||
- 主强调: cyan-400 (#06b6d4)
|
|
||||||
- 辅助强调: emerald-500 (#10b981)
|
|
||||||
- 警告: rose-500 (#ef4444)
|
|
||||||
```
|
|
||||||
|
|
||||||
## 文件变更
|
|
||||||
|
|
||||||
### 新建文件
|
|
||||||
|
|
||||||
1. **`frontend/components/dashboard/map-dashboard.tsx`** (新建)
|
|
||||||
- 核心三列布局组件
|
|
||||||
- 城市列表、地图、详情面板的主容器
|
|
||||||
- 包含所有数据处理和渲染逻辑
|
|
||||||
|
|
||||||
### 修改文件
|
|
||||||
|
|
||||||
1. **`frontend/app/page.tsx`**
|
|
||||||
- 重新设计,移除 `TerminalDashboard`
|
|
||||||
- 改用新的 `MapDashboard` 组件
|
|
||||||
- 简化页面结构,减少代码冗余
|
|
||||||
|
|
||||||
2. **`frontend/components/dashboard/map-view.tsx`**
|
|
||||||
- 更新地图标记类型定义
|
|
||||||
- 改用新的 `createTemperatureMarker` 标记样式
|
|
||||||
- 适配新的数据结构 (`color`, `temp` 而非 `value`)
|
|
||||||
|
|
||||||
## 技术实现
|
|
||||||
|
|
||||||
### 关键技术点
|
|
||||||
|
|
||||||
1. **动态导入 (Dynamic Import)**
|
|
||||||
|
|
||||||
```typescript
|
|
||||||
const MapView = dynamic(() => import("@/components/dashboard/map-view"), {
|
|
||||||
ssr: false,
|
|
||||||
loading: () => <div>Loading map...</div>,
|
|
||||||
});
|
|
||||||
```
|
|
||||||
|
|
||||||
- 解决 Leaflet SSR 兼容性问题
|
|
||||||
- 提高首屏加载性能
|
|
||||||
|
|
||||||
2. **响应式布局**
|
|
||||||
- Flex 布局实现三列设计
|
|
||||||
- 固定宽度边栏 (192px, 288px)
|
|
||||||
- 弹性地图中央区域
|
|
||||||
|
|
||||||
3. **数据可视化**
|
|
||||||
- 柱状图 (hourly trend)
|
|
||||||
- 条形图 (probability, models)
|
|
||||||
- 网格布局 (daily forecast)
|
|
||||||
|
|
||||||
4. **交互设计**
|
|
||||||
- 城市列表可点击切换
|
|
||||||
- 地图标记可悬停显示信息
|
|
||||||
- 搜索框输入过滤城市
|
|
||||||
|
|
||||||
## 性能优化
|
|
||||||
|
|
||||||
1. **编译状态**
|
|
||||||
✅ 编译成功
|
|
||||||
✅ 没有 TypeScript 错误
|
|
||||||
✅ 没有构建警告
|
|
||||||
|
|
||||||
2. **打包大小**
|
|
||||||
- 首页大小: 8.29 kB
|
|
||||||
- 首屏 JS: 121 kB
|
|
||||||
- 支持静态预渲染
|
|
||||||
|
|
||||||
## 部署检查清单
|
|
||||||
|
|
||||||
- [x] 前端编译通过
|
|
||||||
- [x] 无 TypeScript 错误
|
|
||||||
- [x] 无构建警告
|
|
||||||
- [x] SSR 兼容性解决
|
|
||||||
- [x] 数据绑定就绪
|
|
||||||
- [x] 响应式设计完成
|
|
||||||
- [x] 颜色主题应用
|
|
||||||
- [x] 交互功能实现
|
|
||||||
|
|
||||||
## 下一步工作
|
|
||||||
|
|
||||||
1. **数据集成**
|
|
||||||
- 从后端 API 动态获取所有城市数据
|
|
||||||
- 实现实时数据更新
|
|
||||||
|
|
||||||
2. **城市级地图**
|
|
||||||
- 为每个城市添加多个测站标记
|
|
||||||
- 显示周边观测点信息
|
|
||||||
|
|
||||||
3. **高级分析**
|
|
||||||
- 实现点击地图标记显示详细分析
|
|
||||||
- 添加时间滑块用于历史数据回放
|
|
||||||
|
|
||||||
4. **市场数据集成**
|
|
||||||
- 在详情面板添加 Polymarket 市场信息
|
|
||||||
- 显示市场价格和概率对比
|
|
||||||
|
|
||||||
## 总结
|
|
||||||
|
|
||||||
✅ **首页设计完全按照 `demo_map.png` 的风格重新实现**
|
|
||||||
|
|
||||||
- 三列布局清晰分工
|
|
||||||
- 暗色主题统一协调
|
|
||||||
- 数据可视化专业美观
|
|
||||||
- 交互流畅直观
|
|
||||||
- 代码结构清晰可维护
|
|
||||||
- 编译部署无误
|
|
||||||
|
|
||||||
前端现已准备就绪,可以与后端 API 进行数据集成测试。
|
|
||||||
|
|||||||
@@ -14,121 +14,65 @@ Official dashboard: [polyweather-pro.vercel.app](https://polyweather-pro.vercel.
|
|||||||
|
|
||||||

|

|
||||||
|
|
||||||
## What This Project Does
|
## Product Status (2026-03-21)
|
||||||
|
|
||||||
- Aggregates weather observations and forecasts for monitored cities.
|
- Subscription live: `Pro Monthly 5 USDC`.
|
||||||
- Blends multi-model forecasts with DEB (Dynamic Error Balancing).
|
- Points redemption live: `500 points = 1 USDC`, max `3 USDC` off.
|
||||||
- Computes settlement-oriented probability buckets (mu-centered distribution).
|
- Onchain checkout live: Polygon contract checkout (USDC / USDC.e).
|
||||||
- Maps model view to Polymarket read-only market data for mispricing/risk scan.
|
- Auto-reconciliation live: event listener + periodic confirm loop.
|
||||||
- Delivers the same core logic to web dashboard and Telegram bot.
|
- Ops dashboard live: `/ops` for memberships, leaderboard, manual point grants, and payment incident triage.
|
||||||
|
- Lightweight observability live: `/healthz`, `/api/system/status`, `/metrics`.
|
||||||
|
- Runtime state supports gradual SQLite migration (`file / dual / sqlite`).
|
||||||
|
- EMOS/CRPS pipeline is integrated in `shadow` mode with rollout gating.
|
||||||
|
|
||||||
## Overview Diagram
|
## Open-Core Boundary (Important)
|
||||||
|
|
||||||
|
This repository follows an **Open-Core** strategy:
|
||||||
|
|
||||||
|
- Public in repo: weather aggregation, core analysis, dashboard, bot baseline, standard payment flow.
|
||||||
|
- Private in production: commercial risk rules, operational thresholds, pricing strategy details, internal reconciliation policies, and growth operations tooling.
|
||||||
|
|
||||||
|
See: [Open-Core & Commercial Boundary](docs/OPEN_CORE_POLICY.md)
|
||||||
|
|
||||||
|
## Core Capabilities
|
||||||
|
|
||||||
|
- Aggregates observations and forecasts for 30 monitored cities.
|
||||||
|
- Uses DEB (Dynamic Error Balancing) to blend multi-model highs.
|
||||||
|
- Generates settlement-oriented probability buckets (`mu` + bucket distribution).
|
||||||
|
- Maps weather view to Polymarket quotes for mispricing scan.
|
||||||
|
- Reuses one analysis core across web dashboard and Telegram bot.
|
||||||
|
- Adds payment audit trails, replay tooling, and incident visibility in ops.
|
||||||
|
|
||||||
|
## Reference Architecture
|
||||||
|
|
||||||
```mermaid
|
```mermaid
|
||||||
flowchart TD
|
flowchart LR
|
||||||
A["PolyWeather Pro"]
|
U["Users (Web / Telegram)"] --> FE["Next.js Frontend (Vercel)"]
|
||||||
|
U --> BOT["Telegram Bot (VPS)"]
|
||||||
|
FE --> API["FastAPI /web/app.py"]
|
||||||
|
BOT --> API
|
||||||
|
|
||||||
subgraph DL["Data Layer"]
|
API --> WX["Weather Collector"]
|
||||||
DL1["METAR (Aviation Weather / METAR)"]
|
WX --> METAR["Aviation Weather (METAR)"]
|
||||||
DL2["MGM (Turkey MGM)"]
|
WX --> MGM["MGM (Turkey station network)"]
|
||||||
DL3["Station 17130 (Ankara Center 17130)"]
|
WX --> OM["Open-Meteo"]
|
||||||
DL4["Open-Meteo"]
|
|
||||||
DL5["weather.gov (US cities)"]
|
|
||||||
DL6["Polymarket (P0 Read-only)"]
|
|
||||||
end
|
|
||||||
|
|
||||||
subgraph AL["Analysis Layer"]
|
API --> ANA["DEB + Trend + Probability + Market Scan"]
|
||||||
AL1["DEB (Dynamic Error Balancing)"]
|
ANA --> PAY["Payment State (Intent + Event + Confirm Loop)"]
|
||||||
AL2["Probability Engine (mu + buckets)"]
|
ANA --> PM["Polymarket Read-only Layer"]
|
||||||
AL3["Trend Engine"]
|
|
||||||
AL4["Risk Profiles"]
|
|
||||||
AL5["Mispricing Radar"]
|
|
||||||
end
|
|
||||||
|
|
||||||
subgraph DEL["Delivery Layer"]
|
|
||||||
DEL1["FastAPI"]
|
|
||||||
DEL2["Next.js Dashboard"]
|
|
||||||
DEL3["Telegram Bot"]
|
|
||||||
DEL4["Alert Push"]
|
|
||||||
end
|
|
||||||
|
|
||||||
subgraph OL["Ops Layer"]
|
|
||||||
OL1["Docker Compose (VPS backend + bot)"]
|
|
||||||
OL2["Vercel (frontend)"]
|
|
||||||
OL3["Cache + force_refresh"]
|
|
||||||
OL4["Speed Insights"]
|
|
||||||
end
|
|
||||||
|
|
||||||
A --> DL
|
|
||||||
A --> AL
|
|
||||||
A --> DEL
|
|
||||||
A --> OL
|
|
||||||
```
|
```
|
||||||
|
|
||||||
## Architecture
|
## Monitored Cities (30)
|
||||||
|
|
||||||
```mermaid
|
- Europe / Middle East: Ankara, London, Paris, Munich, Tel Aviv, Milan, Warsaw, Madrid
|
||||||
graph TD
|
- APAC: Seoul, Hong Kong, Taipei, Shanghai, Singapore, Tokyo, Wellington
|
||||||
User[Web / Telegram User] --> FE[Next.js Frontend on Vercel]
|
- Americas: Toronto, New York, Chicago, Dallas, Miami, Atlanta, Seattle, Buenos Aires, Sao Paulo
|
||||||
User --> Bot[Telegram Bot on VPS]
|
- South Asia: Lucknow
|
||||||
FE --> API[FastAPI Service]
|
- China extension: Chengdu, Chongqing, Shenzhen, Beijing, Wuhan
|
||||||
Bot --> API
|
|
||||||
|
|
||||||
API --> WX[Weather Data Collector]
|
|
||||||
WX --> METAR[METAR / Aviation Weather]
|
|
||||||
WX --> MGM[MGM API / nearby stations]
|
|
||||||
WX --> OM[Open-Meteo]
|
|
||||||
WX --> NWS[weather.gov]
|
|
||||||
|
|
||||||
API --> DEB[DEB + Trend + Probability Engines]
|
|
||||||
API --> PM[Polymarket Read-only Layer]
|
|
||||||
PM --> Gamma[Gamma API]
|
|
||||||
PM --> CLOB[CLOB / py-clob-client]
|
|
||||||
```
|
|
||||||
|
|
||||||
## Current Source Policy
|
|
||||||
|
|
||||||
| Domain | Source Policy |
|
|
||||||
| :------------------ | :--------------------------------------------------- |
|
|
||||||
| Primary observation | Aviation Weather / METAR |
|
|
||||||
| Ankara enhancement | MGM + nearby stations, lead station fixed to `17130` |
|
|
||||||
| Forecast baseline | Open-Meteo |
|
|
||||||
| US official context | weather.gov |
|
|
||||||
| Market layer | Polymarket P0 read-only discovery + quotes |
|
|
||||||
| Removed source | Meteoblue (fully removed from code and docs) |
|
|
||||||
|
|
||||||
## Recent Changes (2026-03-12)
|
|
||||||
|
|
||||||
- Removed all Meteoblue API integration and references.
|
|
||||||
- Added frontend BFF `ETag + Cache-Control` for:
|
|
||||||
- `/api/cities`
|
|
||||||
- `/api/city/{name}/summary` (`force_refresh=true` keeps `no-store`)
|
|
||||||
- `/api/history/{name}`
|
|
||||||
- Added frontend state persistence:
|
|
||||||
- selected city in `localStorage`
|
|
||||||
- risk-group collapse state in sidebar `localStorage`
|
|
||||||
- background summary revision check to silently refresh stale detail cache
|
|
||||||
- Mispricing radar safety hardening:
|
|
||||||
- skip non-tradable markets (`closed`, inactive, not accepting orders, or past `endDate`)
|
|
||||||
- propagate tradable state in `market_scan.primary_market`
|
|
||||||
- AI decision guard:
|
|
||||||
- peak-window state (`before` / `in_window` / `past`) now explicitly injected into AI context
|
|
||||||
- before-peak state now forbids "locked/confirmed floor" style conclusions
|
|
||||||
- Fixed market top-bucket rendering path by deduplicating repeated temperature buckets.
|
|
||||||
- Added frontend fallback guard when market top buckets collapse to low-quality duplicates.
|
|
||||||
- Fixed detail panel accessibility issue (`aria-hidden` focus conflict) using `inert` + active-element blur.
|
|
||||||
- Added Vercel Speed Insights integration in `frontend/app/layout.tsx`.
|
|
||||||
|
|
||||||
## Repositories and Runtime Paths
|
|
||||||
|
|
||||||
- Frontend: `frontend/` (Next.js App Router)
|
|
||||||
- Backend API: `web/app.py` and `src/`
|
|
||||||
- Telegram runtime: `bot_listener.py` + `src/analysis/*`
|
|
||||||
- Docs: `docs/`
|
|
||||||
|
|
||||||
## Quick Start
|
## Quick Start
|
||||||
|
|
||||||
### Backend + Bot (VPS / Docker)
|
### Backend + Bot (Docker)
|
||||||
|
|
||||||
```bash
|
```bash
|
||||||
docker compose up -d --build
|
docker compose up -d --build
|
||||||
@@ -142,46 +86,81 @@ npm install
|
|||||||
npm run dev
|
npm run dev
|
||||||
```
|
```
|
||||||
|
|
||||||
### Frontend production build check
|
## Runtime Data (Recommended on VPS)
|
||||||
|
|
||||||
```bash
|
Use external runtime storage to avoid SQLite/git conflicts:
|
||||||
cd frontend
|
|
||||||
npm run build
|
```env
|
||||||
|
POLYWEATHER_RUNTIME_DATA_DIR=/var/lib/polyweather
|
||||||
|
POLYWEATHER_DB_PATH=/var/lib/polyweather/polyweather.db
|
||||||
```
|
```
|
||||||
|
|
||||||
## Operations Verification
|
## Ops Verification
|
||||||
|
|
||||||
### Validate frontend cache headers (`ETag` / `304` / `force_refresh=no-store`)
|
### Health / system status / metrics
|
||||||
|
|
||||||
|
```bash
|
||||||
|
curl http://127.0.0.1:8000/healthz
|
||||||
|
curl http://127.0.0.1:8000/api/system/status
|
||||||
|
curl http://127.0.0.1:8000/metrics
|
||||||
|
```
|
||||||
|
|
||||||
|
### Frontend cache headers
|
||||||
|
|
||||||
```bash
|
```bash
|
||||||
./scripts/validate_frontend_cache.sh "https://polyweather-pro.vercel.app"
|
./scripts/validate_frontend_cache.sh "https://polyweather-pro.vercel.app"
|
||||||
```
|
```
|
||||||
|
|
||||||
### Watch mispricing radar push decisions
|
### Payment auto-reconciliation logs
|
||||||
|
|
||||||
```bash
|
```bash
|
||||||
docker compose logs -f polyweather | egrep "market not tradable|trade alert pushed|mispricing cap"
|
docker compose logs -f polyweather | egrep "payment event loop started|payment confirm loop started|payment auto-confirmed"
|
||||||
```
|
```
|
||||||
|
|
||||||
## Command Surface (Telegram)
|
### Payment runtime
|
||||||
|
|
||||||
| Command | Purpose |
|
```bash
|
||||||
| :------------- | :---------------------------- |
|
curl http://127.0.0.1:8000/api/payments/runtime
|
||||||
| `/city <name>` | City real-time analysis |
|
```
|
||||||
| `/deb <name>` | DEB historical reconciliation |
|
|
||||||
| `/top` | User leaderboard |
|
### Wallet activity logs
|
||||||
| `/help` | Help and command usage |
|
|
||||||
|
```bash
|
||||||
|
docker compose logs -f polyweather | egrep "polymarket wallet activity watcher started|wallet activity pushed"
|
||||||
|
```
|
||||||
|
|
||||||
|
## Telegram Commands
|
||||||
|
|
||||||
|
| Command | Purpose |
|
||||||
|
| :-- | :-- |
|
||||||
|
| `/city <name>` | City real-time analysis |
|
||||||
|
| `/deb <name>` | DEB historical reconciliation |
|
||||||
|
| `/top` | User leaderboard |
|
||||||
|
| `/id` | Show current chat ID |
|
||||||
|
| `/diag` | Startup diagnostics |
|
||||||
|
| `/help` | Help and usage |
|
||||||
|
|
||||||
## Documentation Index
|
## Documentation Index
|
||||||
|
|
||||||
- Chinese API guide: `docs/API_ZH.md`
|
- Chinese overview: [README_ZH.md](README_ZH.md)
|
||||||
- Commercial roadmap: `docs/COMMERCIALIZATION.md`
|
- Chinese API guide: [docs/API_ZH.md](docs/API_ZH.md)
|
||||||
- Tech debt (EN): `docs/TECH_DEBT.md`
|
- Commercialization: [docs/COMMERCIALIZATION.md](docs/COMMERCIALIZATION.md)
|
||||||
- Tech debt (ZH): `docs/TECH_DEBT_ZH.md`
|
- Open-Core policy: [docs/OPEN_CORE_POLICY.md](docs/OPEN_CORE_POLICY.md)
|
||||||
- Chinese overview: `README_ZH.md`
|
- Supabase setup (ZH): [docs/SUPABASE_SETUP_ZH.md](docs/SUPABASE_SETUP_ZH.md)
|
||||||
|
- Configuration & secrets (ZH): [docs/CONFIGURATION_ZH.md](docs/CONFIGURATION_ZH.md)
|
||||||
|
- Frontend deployment (ZH): [docs/FRONTEND_DEPLOYMENT_ZH.md](docs/FRONTEND_DEPLOYMENT_ZH.md)
|
||||||
|
- Tech debt (EN): [docs/TECH_DEBT.md](docs/TECH_DEBT.md)
|
||||||
|
- Tech debt (ZH): [docs/TECH_DEBT_ZH.md](docs/TECH_DEBT_ZH.md)
|
||||||
|
- Payment verification: [docs/payments/POLYGONSCAN_VERIFY.md](docs/payments/POLYGONSCAN_VERIFY.md)
|
||||||
|
- Payment audit: [docs/payments/PAYMENT_AUDIT_ZH.md](docs/payments/PAYMENT_AUDIT_ZH.md)
|
||||||
|
- Payment V2 upgrade: [docs/payments/PAYMENT_UPGRADE_V2_ZH.md](docs/payments/PAYMENT_UPGRADE_V2_ZH.md)
|
||||||
|
- Ops admin guide: [docs/OPS_ADMIN_ZH.md](docs/OPS_ADMIN_ZH.md)
|
||||||
|
- Deep research report: [docs/deep-research-report.md](docs/deep-research-report.md)
|
||||||
|
- Frontend report: [FRONTEND_REDESIGN_REPORT.md](FRONTEND_REDESIGN_REPORT.md)
|
||||||
|
- Release process: [RELEASE.md](RELEASE.md)
|
||||||
|
- Changelog: [CHANGELOG.md](CHANGELOG.md)
|
||||||
|
|
||||||
## Status
|
## Version
|
||||||
|
|
||||||
- Version: `v1.3`
|
- Version: `v1.5.1`
|
||||||
- Last Updated: `2026-03-12`
|
- Last Updated: `2026-03-21`
|
||||||
- Runtime: Stable (web + bot + market read-only layer in production)
|
|
||||||
|
|||||||
+119
-124
@@ -14,120 +14,68 @@
|
|||||||
|
|
||||||

|

|
||||||
|
|
||||||
## 这个项目在做什么
|
## 当前产品状态(2026-03-21)
|
||||||
|
|
||||||
- 聚合监控城市的实测与预报数据。
|
- 已上线订阅制:`Pro 月付 5 USDC`。
|
||||||
- 用 DEB(Dynamic Error Balancing)做动态融合预测。
|
- 已上线积分抵扣:`500 积分 = 1 USDC`,最多抵扣 `3 USDC`。
|
||||||
- 计算结算导向的温度概率分布(`μ` + 温度桶)。
|
- 已上线链上支付:Polygon 合约支付(USDC / USDC.e)。
|
||||||
- 将模型概率与 Polymarket 只读市场数据对齐,输出错价/风险信号。
|
- 已上线自动补单:事件监听 + 周期确认双链路。
|
||||||
- Web 仪表盘与 Telegram 机器人共用同一套核心逻辑。
|
- 已上线支付运行态与审计接口:`/api/payments/runtime`。
|
||||||
|
- 已上线轻量运营后台:`/ops`(会员、周榜、补分、支付异常单)。
|
||||||
|
- 已上线轻量可观测性:`/healthz`、`/api/system/status`、`/metrics`。
|
||||||
|
- 运行态状态与缓存已支持 SQLite 渐进迁移:`file / dual / sqlite`。
|
||||||
|
- 已接入 EMOS/CRPS 校准链路,但当前仍保持 `emos_shadow`。
|
||||||
|
|
||||||
## 概览图
|
## 开源边界(重要)
|
||||||
|
|
||||||
|
本项目采用 **Open-Core** 策略:
|
||||||
|
|
||||||
|
- 仓库公开部分:天气聚合、基础分析、前端看板、Bot 基础能力、支付标准流程示例。
|
||||||
|
- 生产私有部分:商业风控规则、运营阈值、收费策略细节、付费用户运营脚本、内部对账与审计策略。
|
||||||
|
|
||||||
|
详细见:[Open-Core 与商用边界](docs/OPEN_CORE_POLICY.md)
|
||||||
|
|
||||||
|
## 核心能力
|
||||||
|
|
||||||
|
- 聚合 30 个监控城市的实测与预报数据。
|
||||||
|
- DEB(Dynamic Error Balancing)融合多模型最高温。
|
||||||
|
- 输出结算导向概率分布(`mu` + 温度桶)。
|
||||||
|
- 将模型观点映射到 Polymarket 行情,做错价扫描。
|
||||||
|
- Web 仪表盘与 Telegram Bot 复用同一分析内核。
|
||||||
|
- 支付链路具备事件重放、SQLite 审计事件与 RPC 容灾能力。
|
||||||
|
|
||||||
|
## 参考架构
|
||||||
|
|
||||||
```mermaid
|
```mermaid
|
||||||
flowchart TD
|
flowchart LR
|
||||||
A["PolyWeather Pro"]
|
U["用户(Web / Telegram)"] --> FE["Next.js 前端(Vercel)"]
|
||||||
|
U --> BOT["Telegram Bot(VPS)"]
|
||||||
|
FE --> API["FastAPI /web/app.py"]
|
||||||
|
BOT --> API
|
||||||
|
|
||||||
subgraph DL["数据层"]
|
API --> WX["Weather Collector"]
|
||||||
DL1["METAR (Aviation Weather / METAR)"]
|
WX --> METAR["Aviation Weather(METAR)"]
|
||||||
DL2["MGM (土耳其 MGM)"]
|
WX --> MGM["MGM(土耳其站网)"]
|
||||||
DL3["安卡拉主站 (17130 Center)"]
|
WX --> OM["Open-Meteo"]
|
||||||
DL4["Open-Meteo"]
|
|
||||||
DL5["weather.gov (美国城市)"]
|
|
||||||
DL6["Polymarket (P0 只读)"]
|
|
||||||
end
|
|
||||||
|
|
||||||
subgraph AL["分析层"]
|
API --> ANA["DEB + 趋势 + 概率 + 市场扫描"]
|
||||||
AL1["DEB (动态误差平衡)"]
|
ANA --> PAY["支付状态(Intent + Event + Confirm Loop)"]
|
||||||
AL2["概率引擎 (mu + 桶分布)"]
|
ANA --> PM["Polymarket 只读层"]
|
||||||
AL3["趋势引擎"]
|
API --> OBS["healthz / system status / metrics"]
|
||||||
AL4["城市风险档案"]
|
ANA --> STATE["SQLite runtime state + dual fallback"]
|
||||||
AL5["错价雷达"]
|
|
||||||
end
|
|
||||||
|
|
||||||
subgraph DEL["交付层"]
|
|
||||||
DEL1["FastAPI"]
|
|
||||||
DEL2["Next.js 仪表盘"]
|
|
||||||
DEL3["Telegram Bot"]
|
|
||||||
DEL4["预警推送"]
|
|
||||||
end
|
|
||||||
|
|
||||||
subgraph OL["运维层"]
|
|
||||||
OL1["Docker Compose (VPS)"]
|
|
||||||
OL2["Vercel (前端)"]
|
|
||||||
OL3["缓存 + force_refresh"]
|
|
||||||
OL4["Speed Insights"]
|
|
||||||
end
|
|
||||||
|
|
||||||
A --> DL
|
|
||||||
A --> AL
|
|
||||||
A --> DEL
|
|
||||||
A --> OL
|
|
||||||
```
|
```
|
||||||
|
|
||||||
## 系统架构
|
## 监控城市(30)
|
||||||
|
|
||||||
```mermaid
|
- 欧洲/中东:Ankara、London、Paris、Munich、Tel Aviv、Milan、Warsaw、Madrid
|
||||||
graph TD
|
- 亚太:Seoul、Hong Kong、Taipei、Shanghai、Singapore、Tokyo、Wellington
|
||||||
User[Web / Telegram 用户] --> FE[Vercel Next.js 前端]
|
- 美洲:Toronto、New York、Chicago、Dallas、Miami、Atlanta、Seattle、Buenos Aires、Sao Paulo
|
||||||
User --> Bot[VPS Telegram Bot]
|
- 南亚:Lucknow
|
||||||
FE --> API[FastAPI 服务]
|
- 中国扩展:Chengdu、Chongqing、Shenzhen、Beijing、Wuhan
|
||||||
Bot --> API
|
|
||||||
|
|
||||||
API --> WX[Weather Collector]
|
|
||||||
WX --> METAR[METAR / Aviation Weather]
|
|
||||||
WX --> MGM[MGM API / 周边站]
|
|
||||||
WX --> OM[Open-Meteo]
|
|
||||||
WX --> NWS[weather.gov]
|
|
||||||
|
|
||||||
API --> DEB[DEB + 趋势 + 概率引擎]
|
|
||||||
API --> PM[Polymarket 只读层]
|
|
||||||
PM --> Gamma[Gamma API]
|
|
||||||
PM --> CLOB[CLOB / py-clob-client]
|
|
||||||
```
|
|
||||||
|
|
||||||
## 当前数据源口径
|
|
||||||
|
|
||||||
| 领域 | 当前口径 |
|
|
||||||
| :------------- | :-------------------------------- |
|
|
||||||
| 主观测源 | Aviation Weather / METAR |
|
|
||||||
| Ankara 增强 | MGM + 周边站,领先站固定 `17130` |
|
|
||||||
| 预报基线 | Open-Meteo |
|
|
||||||
| 美国官方语义层 | weather.gov |
|
|
||||||
| 市场层 | Polymarket P0 只读发现 + 报价 |
|
|
||||||
| 已移除 | Meteoblue(代码与文档已全部移除) |
|
|
||||||
|
|
||||||
## 最近更新(2026-03-12)
|
|
||||||
|
|
||||||
- 完整移除 Meteoblue API 及全部引用。
|
|
||||||
- 前端 BFF 增加 `ETag + Cache-Control`:
|
|
||||||
- `/api/cities`
|
|
||||||
- `/api/city/{name}/summary`(`force_refresh=true` 仍保持 `no-store`)
|
|
||||||
- `/api/history/{name}`
|
|
||||||
- 前端状态持久化优化:
|
|
||||||
- 记住上次选中城市(`localStorage`)
|
|
||||||
- 记住侧边栏风险分组折叠状态(`localStorage`)
|
|
||||||
- 详情命中缓存时做后台 revision 检查,静默更新陈旧数据
|
|
||||||
- 错价雷达安全加固:
|
|
||||||
- 市场 `closed` / 不活跃 / 不接受下单 / 超过 `endDate` 时跳过推送
|
|
||||||
- `market_scan.primary_market` 透传可交易状态字段
|
|
||||||
- AI 决策时段约束:
|
|
||||||
- 上下文显式注入峰值窗口状态(`before` / `in_window` / `past`)
|
|
||||||
- 峰值窗口前禁止“已锁定/已确认底线”结论
|
|
||||||
- 修复市场“最热温度桶”重复温度刷屏问题(后端按温度去重 + 前端兜底去重)。
|
|
||||||
- 修复详情面板可访问性告警(`aria-hidden` 焦点冲突),改为 `inert + blur`。
|
|
||||||
- 集成 Vercel Speed Insights(`frontend/app/layout.tsx`)。
|
|
||||||
|
|
||||||
## 目录说明
|
|
||||||
|
|
||||||
- 前端:`frontend/`(Next.js App Router)
|
|
||||||
- 后端:`web/app.py` 与 `src/`
|
|
||||||
- 机器人:`bot_listener.py` + `src/analysis/*`
|
|
||||||
- 文档:`docs/`
|
|
||||||
|
|
||||||
## 快速启动
|
## 快速启动
|
||||||
|
|
||||||
### 后端 + 机器人(VPS / Docker)
|
### 后端 + Bot(Docker)
|
||||||
|
|
||||||
```bash
|
```bash
|
||||||
docker compose up -d --build
|
docker compose up -d --build
|
||||||
@@ -141,46 +89,93 @@ npm install
|
|||||||
npm run dev
|
npm run dev
|
||||||
```
|
```
|
||||||
|
|
||||||
### 前端构建校验
|
## 运行数据目录(VPS 推荐)
|
||||||
|
|
||||||
```bash
|
建议将运行态数据放到仓库外(避免 `git pull` 被 SQLite 卡住):
|
||||||
cd frontend
|
|
||||||
npm run build
|
```env
|
||||||
|
POLYWEATHER_RUNTIME_DATA_DIR=/var/lib/polyweather
|
||||||
|
POLYWEATHER_DB_PATH=/var/lib/polyweather/polyweather.db
|
||||||
|
POLYWEATHER_STATE_STORAGE_MODE=dual
|
||||||
```
|
```
|
||||||
|
|
||||||
## 运维验收
|
## 运维验收
|
||||||
|
|
||||||
### 验证前端缓存头(`ETag` / `304` / `force_refresh=no-store`)
|
### 健康与系统状态
|
||||||
|
|
||||||
|
```bash
|
||||||
|
curl http://127.0.0.1:8000/healthz
|
||||||
|
curl http://127.0.0.1:8000/api/system/status
|
||||||
|
curl http://127.0.0.1:8000/metrics
|
||||||
|
```
|
||||||
|
|
||||||
|
### 前端缓存头
|
||||||
|
|
||||||
```bash
|
```bash
|
||||||
./scripts/validate_frontend_cache.sh "https://polyweather-pro.vercel.app"
|
./scripts/validate_frontend_cache.sh "https://polyweather-pro.vercel.app"
|
||||||
```
|
```
|
||||||
|
|
||||||
### 观察错价雷达推送决策日志
|
### 支付自动补单日志
|
||||||
|
|
||||||
```bash
|
```bash
|
||||||
docker compose logs -f polyweather | egrep "market not tradable|trade alert pushed|mispricing cap"
|
docker compose logs -f polyweather | egrep "payment event loop started|payment confirm loop started|payment auto-confirmed"
|
||||||
```
|
```
|
||||||
|
|
||||||
## Telegram 命令
|
### 支付运行态
|
||||||
|
|
||||||
| 命令 | 用途 |
|
```bash
|
||||||
| :------------- | :----------- |
|
curl http://127.0.0.1:8000/api/payments/runtime
|
||||||
|
```
|
||||||
|
|
||||||
|
### 运营后台
|
||||||
|
|
||||||
|
- 前端入口:`https://polyweather-pro.vercel.app/ops`
|
||||||
|
- 后端需配置:
|
||||||
|
|
||||||
|
```env
|
||||||
|
POLYWEATHER_OPS_ADMIN_EMAILS=yhrsc30@gmail.com
|
||||||
|
```
|
||||||
|
|
||||||
|
### 钱包异动监听日志
|
||||||
|
|
||||||
|
```bash
|
||||||
|
docker compose logs -f polyweather | egrep "polymarket wallet activity watcher started|wallet activity pushed"
|
||||||
|
```
|
||||||
|
|
||||||
|
## Telegram 指令
|
||||||
|
|
||||||
|
| 指令 | 用途 |
|
||||||
|
| :-- | :-- |
|
||||||
| `/city <name>` | 城市实时分析 |
|
| `/city <name>` | 城市实时分析 |
|
||||||
| `/deb <name>` | DEB 历史对账 |
|
| `/deb <name>` | DEB 历史对账 |
|
||||||
| `/top` | 用户排行榜 |
|
| `/top` | 用户积分排行 |
|
||||||
| `/help` | 帮助说明 |
|
| `/id` | 查看聊天 Chat ID |
|
||||||
|
| `/diag` | Bot 启动诊断 |
|
||||||
|
| `/help` | 帮助与用法 |
|
||||||
|
|
||||||
## 文档索引
|
## 文档索引
|
||||||
|
|
||||||
- API 文档(中文):`docs/API_ZH.md`
|
- 英文总览:[README.md](README.md)
|
||||||
- 商业化路线:`docs/COMMERCIALIZATION.md`
|
- API 文档(中文):[docs/API_ZH.md](docs/API_ZH.md)
|
||||||
- 技术债(英文):`docs/TECH_DEBT.md`
|
- 商业化说明:[docs/COMMERCIALIZATION.md](docs/COMMERCIALIZATION.md)
|
||||||
- 技术债(中文):`docs/TECH_DEBT_ZH.md`
|
- Open-Core 边界:[docs/OPEN_CORE_POLICY.md](docs/OPEN_CORE_POLICY.md)
|
||||||
- 英文总览:`README.md`
|
- Supabase 接入:[docs/SUPABASE_SETUP_ZH.md](docs/SUPABASE_SETUP_ZH.md)
|
||||||
|
- 配置与密钥管理:[docs/CONFIGURATION_ZH.md](docs/CONFIGURATION_ZH.md)
|
||||||
|
- 前端部署(Vercel):[docs/FRONTEND_DEPLOYMENT_ZH.md](docs/FRONTEND_DEPLOYMENT_ZH.md)
|
||||||
|
- EMOS 训练报告:[docs/EMOS_TRAINING_REPORT_ZH.md](docs/EMOS_TRAINING_REPORT_ZH.md)
|
||||||
|
- 概率快照归档:[docs/PROBABILITY_SNAPSHOT_ARCHIVE_ZH.md](docs/PROBABILITY_SNAPSHOT_ARCHIVE_ZH.md)
|
||||||
|
- 技术债(中文镜像):[docs/TECH_DEBT_ZH.md](docs/TECH_DEBT_ZH.md)
|
||||||
|
- 技术债(主文档):[docs/TECH_DEBT.md](docs/TECH_DEBT.md)
|
||||||
|
- 支付合约验证:[docs/payments/POLYGONSCAN_VERIFY.md](docs/payments/POLYGONSCAN_VERIFY.md)
|
||||||
|
- 支付审计说明:[docs/payments/PAYMENT_AUDIT_ZH.md](docs/payments/PAYMENT_AUDIT_ZH.md)
|
||||||
|
- 支付 V2 升级方案:[docs/payments/PAYMENT_UPGRADE_V2_ZH.md](docs/payments/PAYMENT_UPGRADE_V2_ZH.md)
|
||||||
|
- 运营后台说明:[docs/OPS_ADMIN_ZH.md](docs/OPS_ADMIN_ZH.md)
|
||||||
|
- 深度评估报告:[docs/deep-research-report.md](docs/deep-research-report.md)
|
||||||
|
- 前端报告:[FRONTEND_REDESIGN_REPORT.md](FRONTEND_REDESIGN_REPORT.md)
|
||||||
|
- 发布流程:[RELEASE.md](RELEASE.md)
|
||||||
|
- 变更记录:[CHANGELOG.md](CHANGELOG.md)
|
||||||
|
|
||||||
## 当前状态
|
## 当前版本
|
||||||
|
|
||||||
- 版本:`v1.3`
|
- 版本:`v1.5.1`
|
||||||
- 最后更新:`2026-03-12`
|
- 文档最后更新:`2026-03-21`
|
||||||
- 状态:稳定运行(Web + Bot + 市场只读层)
|
|
||||||
|
|||||||
+86
@@ -0,0 +1,86 @@
|
|||||||
|
# 版本发布流程
|
||||||
|
|
||||||
|
本项目采用语义化版本号:`MAJOR.MINOR.PATCH`
|
||||||
|
|
||||||
|
当前单一版本源为根目录 [VERSION](E:/web/PolyWeather/VERSION) 文件,所有对外文档与前端版本号都从这里同步。
|
||||||
|
|
||||||
|
## 版本规则
|
||||||
|
|
||||||
|
- `PATCH`:修复缺陷、文档修正、兼容性不变的小改动
|
||||||
|
- `MINOR`:新增能力、接口扩展、向后兼容的功能迭代
|
||||||
|
- `MAJOR`:不兼容变更、核心架构升级、公开接口重大调整
|
||||||
|
|
||||||
|
示例:
|
||||||
|
|
||||||
|
- `1.4.0 -> 1.4.1`:告警逻辑修正、缓存修正、文档修正
|
||||||
|
- `1.4.0 -> 1.5.0`:新增支付能力、新增页面、新增 API
|
||||||
|
- `1.4.0 -> 2.0.0`:接口重构或数据结构不兼容
|
||||||
|
|
||||||
|
## 日常升版步骤
|
||||||
|
|
||||||
|
### 1. 升版本号
|
||||||
|
|
||||||
|
```bash
|
||||||
|
python scripts/bump_version.py patch
|
||||||
|
```
|
||||||
|
|
||||||
|
可选参数:
|
||||||
|
|
||||||
|
```bash
|
||||||
|
python scripts/bump_version.py minor
|
||||||
|
python scripts/bump_version.py major
|
||||||
|
python scripts/bump_version.py 1.5.0
|
||||||
|
```
|
||||||
|
|
||||||
|
### 2. 检查同步结果
|
||||||
|
|
||||||
|
```bash
|
||||||
|
python scripts/sync_version.py
|
||||||
|
git diff
|
||||||
|
```
|
||||||
|
|
||||||
|
### 3. 补充 Changelog
|
||||||
|
|
||||||
|
在 [CHANGELOG.md](E:/web/PolyWeather/CHANGELOG.md) 对应版本下补齐:
|
||||||
|
|
||||||
|
- 新增能力
|
||||||
|
- 修复项
|
||||||
|
- 兼容性说明
|
||||||
|
|
||||||
|
### 4. 验证
|
||||||
|
|
||||||
|
建议至少执行:
|
||||||
|
|
||||||
|
```bash
|
||||||
|
cd frontend
|
||||||
|
npm run build
|
||||||
|
```
|
||||||
|
|
||||||
|
如涉及后端核心逻辑,补充执行:
|
||||||
|
|
||||||
|
```bash
|
||||||
|
python -m pytest
|
||||||
|
```
|
||||||
|
|
||||||
|
### 5. 提交与打标签
|
||||||
|
|
||||||
|
工作区干净后再打标签:
|
||||||
|
|
||||||
|
```bash
|
||||||
|
git add .
|
||||||
|
git commit -m "release: v1.4.1"
|
||||||
|
git tag v1.4.1
|
||||||
|
```
|
||||||
|
|
||||||
|
### 6. 推送
|
||||||
|
|
||||||
|
```bash
|
||||||
|
git push
|
||||||
|
git push origin v1.4.1
|
||||||
|
```
|
||||||
|
|
||||||
|
## 当前约束
|
||||||
|
|
||||||
|
- 不直接手改多份文档版本号
|
||||||
|
- 不在工作区脏状态下打 release tag
|
||||||
|
- `README.md`、前端 `package.json`、文档标题版本都通过脚本同步
|
||||||
@@ -0,0 +1,174 @@
|
|||||||
|
{
|
||||||
|
"version": "emos-20260320132525",
|
||||||
|
"trained_at": "2026-03-20T13:25:25.836021+00:00",
|
||||||
|
"global": {
|
||||||
|
"mu": {
|
||||||
|
"intercept": -1.57406048,
|
||||||
|
"raw_mu_coef": 2.80583627,
|
||||||
|
"deb_coef": -0.06819634,
|
||||||
|
"ens_median_coef": -1.81560215,
|
||||||
|
"max_so_far_gap_coef": 0.0
|
||||||
|
},
|
||||||
|
"sigma": {
|
||||||
|
"intercept": 0.67509915,
|
||||||
|
"raw_sigma_coef": 0.14431833,
|
||||||
|
"spread_coef": 0.14431833,
|
||||||
|
"peak_flag_coef": 0.0,
|
||||||
|
"max_so_far_gap_coef": 0.0
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"sigma_constraints": {
|
||||||
|
"min_ratio": 0.85,
|
||||||
|
"max_ratio": 1.35,
|
||||||
|
"absolute_min": 0.25,
|
||||||
|
"absolute_max": 3.0
|
||||||
|
},
|
||||||
|
"selection_guardrails": {
|
||||||
|
"max_mae_increase": 0.02,
|
||||||
|
"max_bucket_hit_drop": 0.01,
|
||||||
|
"max_bucket_brier_increase": 0.05
|
||||||
|
},
|
||||||
|
"blending": {
|
||||||
|
"alpha_mu": 0.0,
|
||||||
|
"alpha_sigma": 0.0
|
||||||
|
},
|
||||||
|
"cities": {
|
||||||
|
"ankara": {
|
||||||
|
"samples": 7,
|
||||||
|
"mu_bias": 0.566273,
|
||||||
|
"sigma_scale": 2.0,
|
||||||
|
"confidence": 0.875
|
||||||
|
},
|
||||||
|
"london": {
|
||||||
|
"samples": 6,
|
||||||
|
"mu_bias": 0.489961,
|
||||||
|
"sigma_scale": 2.0,
|
||||||
|
"confidence": 0.75
|
||||||
|
},
|
||||||
|
"new york": {
|
||||||
|
"samples": 4,
|
||||||
|
"mu_bias": 1.852451,
|
||||||
|
"sigma_scale": 0.830444,
|
||||||
|
"confidence": 0.5
|
||||||
|
},
|
||||||
|
"paris": {
|
||||||
|
"samples": 7,
|
||||||
|
"mu_bias": 0.308599,
|
||||||
|
"sigma_scale": 2.0,
|
||||||
|
"confidence": 0.875
|
||||||
|
},
|
||||||
|
"seoul": {
|
||||||
|
"samples": 6,
|
||||||
|
"mu_bias": -1.486024,
|
||||||
|
"sigma_scale": 1.569585,
|
||||||
|
"confidence": 0.75
|
||||||
|
},
|
||||||
|
"toronto": {
|
||||||
|
"samples": 5,
|
||||||
|
"mu_bias": -0.734395,
|
||||||
|
"sigma_scale": 1.656751,
|
||||||
|
"confidence": 0.625
|
||||||
|
},
|
||||||
|
"buenos aires": {
|
||||||
|
"samples": 5,
|
||||||
|
"mu_bias": -1.753334,
|
||||||
|
"sigma_scale": 1.831739,
|
||||||
|
"confidence": 0.625
|
||||||
|
},
|
||||||
|
"wellington": {
|
||||||
|
"samples": 6,
|
||||||
|
"mu_bias": 0.350757,
|
||||||
|
"sigma_scale": 1.377974,
|
||||||
|
"confidence": 0.75
|
||||||
|
},
|
||||||
|
"chicago": {
|
||||||
|
"samples": 4,
|
||||||
|
"mu_bias": 3.01062,
|
||||||
|
"sigma_scale": 0.825575,
|
||||||
|
"confidence": 0.5
|
||||||
|
},
|
||||||
|
"sao paulo": {
|
||||||
|
"samples": 5,
|
||||||
|
"mu_bias": 1.632457,
|
||||||
|
"sigma_scale": 2.0,
|
||||||
|
"confidence": 0.625
|
||||||
|
},
|
||||||
|
"dallas": {
|
||||||
|
"samples": 4,
|
||||||
|
"mu_bias": 3.77714,
|
||||||
|
"sigma_scale": 0.796874,
|
||||||
|
"confidence": 0.5
|
||||||
|
},
|
||||||
|
"miami": {
|
||||||
|
"samples": 5,
|
||||||
|
"mu_bias": -4.868741,
|
||||||
|
"sigma_scale": 2.0,
|
||||||
|
"confidence": 0.625
|
||||||
|
},
|
||||||
|
"atlanta": {
|
||||||
|
"samples": 5,
|
||||||
|
"mu_bias": -7.648823,
|
||||||
|
"sigma_scale": 2.0,
|
||||||
|
"confidence": 0.625
|
||||||
|
},
|
||||||
|
"seattle": {
|
||||||
|
"samples": 4,
|
||||||
|
"mu_bias": 4.058619,
|
||||||
|
"sigma_scale": 2.0,
|
||||||
|
"confidence": 0.5
|
||||||
|
},
|
||||||
|
"lucknow": {
|
||||||
|
"samples": 4,
|
||||||
|
"mu_bias": 3.257609,
|
||||||
|
"sigma_scale": 2.0,
|
||||||
|
"confidence": 0.5
|
||||||
|
},
|
||||||
|
"munich": {
|
||||||
|
"samples": 6,
|
||||||
|
"mu_bias": -0.780811,
|
||||||
|
"sigma_scale": 2.0,
|
||||||
|
"confidence": 0.75
|
||||||
|
},
|
||||||
|
"hong kong": {
|
||||||
|
"samples": 3,
|
||||||
|
"mu_bias": -0.492675,
|
||||||
|
"sigma_scale": 2.0,
|
||||||
|
"confidence": 0.375
|
||||||
|
},
|
||||||
|
"taipei": {
|
||||||
|
"samples": 3,
|
||||||
|
"mu_bias": 1.462462,
|
||||||
|
"sigma_scale": 1.132834,
|
||||||
|
"confidence": 0.375
|
||||||
|
},
|
||||||
|
"milan": {
|
||||||
|
"samples": 3,
|
||||||
|
"mu_bias": -2.729203,
|
||||||
|
"sigma_scale": 2.0,
|
||||||
|
"confidence": 0.375
|
||||||
|
},
|
||||||
|
"warsaw": {
|
||||||
|
"samples": 3,
|
||||||
|
"mu_bias": 0.349319,
|
||||||
|
"sigma_scale": 1.337949,
|
||||||
|
"confidence": 0.375
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"metrics": {
|
||||||
|
"sample_count": 105,
|
||||||
|
"mean_crps": 2.923823,
|
||||||
|
"legacy_mean_crps": 2.793938,
|
||||||
|
"legacy_mean_mae": 2.721143,
|
||||||
|
"legacy_bucket_hit_rate": 0.695238,
|
||||||
|
"legacy_bucket_brier": 0.775463,
|
||||||
|
"selected_mean_crps": 2.700275,
|
||||||
|
"selected_mean_mae": 2.721143,
|
||||||
|
"selected_bucket_hit_rate": 0.695238,
|
||||||
|
"selected_bucket_brier": 0.765459,
|
||||||
|
"selected_score": 4.003626,
|
||||||
|
"legacy_score": 4.104792,
|
||||||
|
"filled_actual_from_history": 2,
|
||||||
|
"settlement_history_city_count": 30
|
||||||
|
},
|
||||||
|
"source": "artifacts\\probability_calibration\\default.json"
|
||||||
|
}
|
||||||
@@ -0,0 +1,248 @@
|
|||||||
|
{
|
||||||
|
"summary": {
|
||||||
|
"sample_count": 105,
|
||||||
|
"filled_actual_from_history": 2,
|
||||||
|
"legacy": {
|
||||||
|
"mean_crps": 2.793938,
|
||||||
|
"mean_mae": 2.721143,
|
||||||
|
"bucket_hit_rate": 0.695238
|
||||||
|
},
|
||||||
|
"emos": {
|
||||||
|
"mean_crps": 2.700275,
|
||||||
|
"mean_mae": 2.721143,
|
||||||
|
"bucket_hit_rate": 0.695238
|
||||||
|
},
|
||||||
|
"delta": {
|
||||||
|
"crps": -0.093663,
|
||||||
|
"mae": 0.0,
|
||||||
|
"bucket_hit_rate": 0.0
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"by_city": {
|
||||||
|
"ankara": {
|
||||||
|
"samples": 7,
|
||||||
|
"legacy_mean_crps": 2.023242,
|
||||||
|
"emos_mean_crps": 2.023242,
|
||||||
|
"legacy_mean_mae": 1.984286,
|
||||||
|
"emos_mean_mae": 1.984286,
|
||||||
|
"legacy_bucket_hit_rate": 0.714286,
|
||||||
|
"emos_bucket_hit_rate": 0.714286
|
||||||
|
},
|
||||||
|
"atlanta": {
|
||||||
|
"samples": 5,
|
||||||
|
"legacy_mean_crps": 12.792034,
|
||||||
|
"emos_mean_crps": 12.694543,
|
||||||
|
"legacy_mean_mae": 12.806,
|
||||||
|
"emos_mean_mae": 12.806,
|
||||||
|
"legacy_bucket_hit_rate": 0.6,
|
||||||
|
"emos_bucket_hit_rate": 0.6
|
||||||
|
},
|
||||||
|
"buenos aires": {
|
||||||
|
"samples": 5,
|
||||||
|
"legacy_mean_crps": 3.846144,
|
||||||
|
"emos_mean_crps": 3.846144,
|
||||||
|
"legacy_mean_mae": 4.168,
|
||||||
|
"emos_mean_mae": 4.168,
|
||||||
|
"legacy_bucket_hit_rate": 0.6,
|
||||||
|
"emos_bucket_hit_rate": 0.6
|
||||||
|
},
|
||||||
|
"chicago": {
|
||||||
|
"samples": 4,
|
||||||
|
"legacy_mean_crps": 1.346667,
|
||||||
|
"emos_mean_crps": 0.601765,
|
||||||
|
"legacy_mean_mae": 0.0,
|
||||||
|
"emos_mean_mae": 0.0,
|
||||||
|
"legacy_bucket_hit_rate": 1.0,
|
||||||
|
"emos_bucket_hit_rate": 1.0
|
||||||
|
},
|
||||||
|
"dallas": {
|
||||||
|
"samples": 4,
|
||||||
|
"legacy_mean_crps": 1.256111,
|
||||||
|
"emos_mean_crps": 0.651425,
|
||||||
|
"legacy_mean_mae": 0.0,
|
||||||
|
"emos_mean_mae": 0.0,
|
||||||
|
"legacy_bucket_hit_rate": 1.0,
|
||||||
|
"emos_bucket_hit_rate": 1.0
|
||||||
|
},
|
||||||
|
"hong kong": {
|
||||||
|
"samples": 3,
|
||||||
|
"legacy_mean_crps": 0.261027,
|
||||||
|
"emos_mean_crps": 0.261027,
|
||||||
|
"legacy_mean_mae": 0.1,
|
||||||
|
"emos_mean_mae": 0.1,
|
||||||
|
"legacy_bucket_hit_rate": 1.0,
|
||||||
|
"emos_bucket_hit_rate": 0.666667
|
||||||
|
},
|
||||||
|
"london": {
|
||||||
|
"samples": 6,
|
||||||
|
"legacy_mean_crps": 2.079624,
|
||||||
|
"emos_mean_crps": 2.079624,
|
||||||
|
"legacy_mean_mae": 2.451667,
|
||||||
|
"emos_mean_mae": 2.451667,
|
||||||
|
"legacy_bucket_hit_rate": 0.166667,
|
||||||
|
"emos_bucket_hit_rate": 0.166667
|
||||||
|
},
|
||||||
|
"lucknow": {
|
||||||
|
"samples": 4,
|
||||||
|
"legacy_mean_crps": 1.468528,
|
||||||
|
"emos_mean_crps": 1.468528,
|
||||||
|
"legacy_mean_mae": 1.6025,
|
||||||
|
"emos_mean_mae": 1.6025,
|
||||||
|
"legacy_bucket_hit_rate": 0.5,
|
||||||
|
"emos_bucket_hit_rate": 0.5
|
||||||
|
},
|
||||||
|
"madrid": {
|
||||||
|
"samples": 2,
|
||||||
|
"legacy_mean_crps": 6.27726,
|
||||||
|
"emos_mean_crps": 6.27726,
|
||||||
|
"legacy_mean_mae": 7.33,
|
||||||
|
"emos_mean_mae": 7.33,
|
||||||
|
"legacy_bucket_hit_rate": 0.0,
|
||||||
|
"emos_bucket_hit_rate": 0.0
|
||||||
|
},
|
||||||
|
"miami": {
|
||||||
|
"samples": 5,
|
||||||
|
"legacy_mean_crps": 11.665378,
|
||||||
|
"emos_mean_crps": 11.665378,
|
||||||
|
"legacy_mean_mae": 12.07,
|
||||||
|
"emos_mean_mae": 12.07,
|
||||||
|
"legacy_bucket_hit_rate": 0.6,
|
||||||
|
"emos_bucket_hit_rate": 0.6
|
||||||
|
},
|
||||||
|
"milan": {
|
||||||
|
"samples": 3,
|
||||||
|
"legacy_mean_crps": 4.401392,
|
||||||
|
"emos_mean_crps": 3.928883,
|
||||||
|
"legacy_mean_mae": 4.06,
|
||||||
|
"emos_mean_mae": 4.06,
|
||||||
|
"legacy_bucket_hit_rate": 0.666667,
|
||||||
|
"emos_bucket_hit_rate": 0.666667
|
||||||
|
},
|
||||||
|
"munich": {
|
||||||
|
"samples": 6,
|
||||||
|
"legacy_mean_crps": 2.988583,
|
||||||
|
"emos_mean_crps": 2.988583,
|
||||||
|
"legacy_mean_mae": 3.143333,
|
||||||
|
"emos_mean_mae": 3.143333,
|
||||||
|
"legacy_bucket_hit_rate": 0.5,
|
||||||
|
"emos_bucket_hit_rate": 0.5
|
||||||
|
},
|
||||||
|
"new york": {
|
||||||
|
"samples": 4,
|
||||||
|
"legacy_mean_crps": 1.861101,
|
||||||
|
"emos_mean_crps": 1.409393,
|
||||||
|
"legacy_mean_mae": 1.3725,
|
||||||
|
"emos_mean_mae": 1.3725,
|
||||||
|
"legacy_bucket_hit_rate": 0.75,
|
||||||
|
"emos_bucket_hit_rate": 0.75
|
||||||
|
},
|
||||||
|
"paris": {
|
||||||
|
"samples": 7,
|
||||||
|
"legacy_mean_crps": 2.430082,
|
||||||
|
"emos_mean_crps": 2.430082,
|
||||||
|
"legacy_mean_mae": 2.518571,
|
||||||
|
"emos_mean_mae": 2.518571,
|
||||||
|
"legacy_bucket_hit_rate": 0.571429,
|
||||||
|
"emos_bucket_hit_rate": 0.571429
|
||||||
|
},
|
||||||
|
"sao paulo": {
|
||||||
|
"samples": 5,
|
||||||
|
"legacy_mean_crps": 2.454756,
|
||||||
|
"emos_mean_crps": 2.454756,
|
||||||
|
"legacy_mean_mae": 2.628,
|
||||||
|
"emos_mean_mae": 2.628,
|
||||||
|
"legacy_bucket_hit_rate": 0.6,
|
||||||
|
"emos_bucket_hit_rate": 0.6
|
||||||
|
},
|
||||||
|
"seattle": {
|
||||||
|
"samples": 4,
|
||||||
|
"legacy_mean_crps": 0.531656,
|
||||||
|
"emos_mean_crps": 0.452784,
|
||||||
|
"legacy_mean_mae": 0.0,
|
||||||
|
"emos_mean_mae": 0.0,
|
||||||
|
"legacy_bucket_hit_rate": 1.0,
|
||||||
|
"emos_bucket_hit_rate": 1.0
|
||||||
|
},
|
||||||
|
"seoul": {
|
||||||
|
"samples": 6,
|
||||||
|
"legacy_mean_crps": 0.328088,
|
||||||
|
"emos_mean_crps": 0.328088,
|
||||||
|
"legacy_mean_mae": 0.2,
|
||||||
|
"emos_mean_mae": 0.2,
|
||||||
|
"legacy_bucket_hit_rate": 1.0,
|
||||||
|
"emos_bucket_hit_rate": 1.0
|
||||||
|
},
|
||||||
|
"shanghai": {
|
||||||
|
"samples": 2,
|
||||||
|
"legacy_mean_crps": 0.250034,
|
||||||
|
"emos_mean_crps": 0.250034,
|
||||||
|
"legacy_mean_mae": 0.15,
|
||||||
|
"emos_mean_mae": 0.15,
|
||||||
|
"legacy_bucket_hit_rate": 1.0,
|
||||||
|
"emos_bucket_hit_rate": 1.0
|
||||||
|
},
|
||||||
|
"singapore": {
|
||||||
|
"samples": 2,
|
||||||
|
"legacy_mean_crps": 0.281993,
|
||||||
|
"emos_mean_crps": 0.281993,
|
||||||
|
"legacy_mean_mae": 0.15,
|
||||||
|
"emos_mean_mae": 0.15,
|
||||||
|
"legacy_bucket_hit_rate": 1.0,
|
||||||
|
"emos_bucket_hit_rate": 1.0
|
||||||
|
},
|
||||||
|
"taipei": {
|
||||||
|
"samples": 3,
|
||||||
|
"legacy_mean_crps": 0.356996,
|
||||||
|
"emos_mean_crps": 0.356996,
|
||||||
|
"legacy_mean_mae": 0.1,
|
||||||
|
"emos_mean_mae": 0.1,
|
||||||
|
"legacy_bucket_hit_rate": 1.0,
|
||||||
|
"emos_bucket_hit_rate": 1.0
|
||||||
|
},
|
||||||
|
"tel aviv": {
|
||||||
|
"samples": 2,
|
||||||
|
"legacy_mean_crps": 0.446758,
|
||||||
|
"emos_mean_crps": 0.446758,
|
||||||
|
"legacy_mean_mae": 0.3,
|
||||||
|
"emos_mean_mae": 0.3,
|
||||||
|
"legacy_bucket_hit_rate": 1.0,
|
||||||
|
"emos_bucket_hit_rate": 1.0
|
||||||
|
},
|
||||||
|
"tokyo": {
|
||||||
|
"samples": 2,
|
||||||
|
"legacy_mean_crps": 0.450128,
|
||||||
|
"emos_mean_crps": 0.450128,
|
||||||
|
"legacy_mean_mae": 0.25,
|
||||||
|
"emos_mean_mae": 0.25,
|
||||||
|
"legacy_bucket_hit_rate": 0.5,
|
||||||
|
"emos_bucket_hit_rate": 1.0
|
||||||
|
},
|
||||||
|
"toronto": {
|
||||||
|
"samples": 5,
|
||||||
|
"legacy_mean_crps": 2.647861,
|
||||||
|
"emos_mean_crps": 2.566068,
|
||||||
|
"legacy_mean_mae": 2.532,
|
||||||
|
"emos_mean_mae": 2.532,
|
||||||
|
"legacy_bucket_hit_rate": 0.6,
|
||||||
|
"emos_bucket_hit_rate": 0.6
|
||||||
|
},
|
||||||
|
"warsaw": {
|
||||||
|
"samples": 3,
|
||||||
|
"legacy_mean_crps": 1.618875,
|
||||||
|
"emos_mean_crps": 1.618875,
|
||||||
|
"legacy_mean_mae": 2.056667,
|
||||||
|
"emos_mean_mae": 2.056667,
|
||||||
|
"legacy_bucket_hit_rate": 0.333333,
|
||||||
|
"emos_bucket_hit_rate": 0.333333
|
||||||
|
},
|
||||||
|
"wellington": {
|
||||||
|
"samples": 6,
|
||||||
|
"legacy_mean_crps": 0.266349,
|
||||||
|
"emos_mean_crps": 0.266349,
|
||||||
|
"legacy_mean_mae": 0.2,
|
||||||
|
"emos_mean_mae": 0.2,
|
||||||
|
"legacy_bucket_hit_rate": 1.0,
|
||||||
|
"emos_bucket_hit_rate": 1.0
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
@@ -0,0 +1,72 @@
|
|||||||
|
{
|
||||||
|
"evaluation_report_path": "E:\\web\\PolyWeather\\artifacts\\probability_calibration\\evaluation_report.json",
|
||||||
|
"shadow_report_path": "E:\\web\\PolyWeather\\artifacts\\probability_calibration\\shadow_report.json",
|
||||||
|
"evaluation_report_exists": true,
|
||||||
|
"shadow_report_exists": true,
|
||||||
|
"decision": {
|
||||||
|
"decision": "hold",
|
||||||
|
"ready_for_primary": false,
|
||||||
|
"summary": "当前指标不足以切换 emos_primary,应继续保持 shadow。",
|
||||||
|
"thresholds": {
|
||||||
|
"evaluation_min_samples": 80,
|
||||||
|
"shadow_min_samples": 50,
|
||||||
|
"max_delta_mae": 0.05,
|
||||||
|
"min_delta_crps": -0.02,
|
||||||
|
"min_delta_bucket_hit_rate": 0.0,
|
||||||
|
"max_delta_bucket_brier_promote": 0.02,
|
||||||
|
"max_delta_bucket_brier_observe": 0.15
|
||||||
|
},
|
||||||
|
"evaluation": {
|
||||||
|
"sample_count": 105,
|
||||||
|
"delta_crps": -0.093663,
|
||||||
|
"delta_mae": 0.0,
|
||||||
|
"delta_bucket_hit_rate": 0.0
|
||||||
|
},
|
||||||
|
"shadow": {
|
||||||
|
"sample_count": 103,
|
||||||
|
"delta_mae": 0.012708,
|
||||||
|
"delta_bucket_hit_rate": 0.009709,
|
||||||
|
"delta_bucket_brier": 0.293835
|
||||||
|
},
|
||||||
|
"blocking_reasons": [
|
||||||
|
"shadow bucket brier 退化超限:delta=0.293835"
|
||||||
|
],
|
||||||
|
"worst_shadow_regressions": [
|
||||||
|
{
|
||||||
|
"city": "dallas",
|
||||||
|
"samples": 4,
|
||||||
|
"delta_mae": 0.114807,
|
||||||
|
"delta_bucket_hit_rate": 0.0,
|
||||||
|
"delta_bucket_brier": 0.778678
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"city": "chicago",
|
||||||
|
"samples": 4,
|
||||||
|
"delta_mae": 0.075265,
|
||||||
|
"delta_bucket_hit_rate": 0.0,
|
||||||
|
"delta_bucket_brier": 0.746156
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"city": "seattle",
|
||||||
|
"samples": 4,
|
||||||
|
"delta_mae": 0.11262,
|
||||||
|
"delta_bucket_hit_rate": 0.0,
|
||||||
|
"delta_bucket_brier": 0.692003
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"city": "atlanta",
|
||||||
|
"samples": 4,
|
||||||
|
"delta_mae": 0.293028,
|
||||||
|
"delta_bucket_hit_rate": -0.25,
|
||||||
|
"delta_bucket_brier": 0.601425
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"city": "miami",
|
||||||
|
"samples": 4,
|
||||||
|
"delta_mae": 0.241559,
|
||||||
|
"delta_bucket_hit_rate": -0.5,
|
||||||
|
"delta_bucket_brier": 0.478245
|
||||||
|
}
|
||||||
|
]
|
||||||
|
}
|
||||||
|
}
|
||||||
File diff suppressed because it is too large
Load Diff
File diff suppressed because it is too large
Load Diff
File diff suppressed because it is too large
Load Diff
+2
-405
@@ -1,416 +1,13 @@
|
|||||||
import sys
|
|
||||||
import os
|
import os
|
||||||
import telebot # type: ignore
|
import sys
|
||||||
from loguru import logger # type: ignore
|
|
||||||
|
|
||||||
# 确保项目根目录在 sys.path 中
|
# 确保项目根目录在 sys.path 中
|
||||||
project_root = os.path.dirname(os.path.abspath(__file__))
|
project_root = os.path.dirname(os.path.abspath(__file__))
|
||||||
if project_root not in sys.path:
|
if project_root not in sys.path:
|
||||||
sys.path.insert(0, project_root)
|
sys.path.insert(0, project_root)
|
||||||
|
|
||||||
from src.utils.config_loader import load_config # type: ignore # noqa: E402
|
from src.bot.orchestrator import start_bot # noqa: E402
|
||||||
from src.utils.telegram_push import start_trade_alert_push_loop # type: ignore # noqa: E402
|
|
||||||
from src.onchain.polygon_wallet_watcher import start_polygon_wallet_watch_loop # type: ignore # noqa: E402
|
|
||||||
from src.onchain.polymarket_wallet_activity_watcher import start_polymarket_wallet_activity_loop # type: ignore # noqa: E402
|
|
||||||
from src.data_collection.weather_sources import WeatherDataCollector # type: ignore # noqa: E402
|
|
||||||
from src.database.db_manager import DBManager
|
|
||||||
from src.analysis.city_query_service import (
|
|
||||||
resolve_city_name,
|
|
||||||
build_city_query_report,
|
|
||||||
)
|
|
||||||
|
|
||||||
MESSAGE_POINTS = 4
|
|
||||||
MESSAGE_DAILY_CAP = 50
|
|
||||||
MESSAGE_MIN_LENGTH = 2
|
|
||||||
MESSAGE_COOLDOWN_SEC = 30
|
|
||||||
CITY_QUERY_COST = 1
|
|
||||||
DEB_QUERY_COST = 1
|
|
||||||
|
|
||||||
|
|
||||||
def start_bot():
|
|
||||||
config = load_config()
|
|
||||||
token = os.getenv("TELEGRAM_BOT_TOKEN")
|
|
||||||
if not token:
|
|
||||||
logger.error("未找到 TELEGRAM_BOT_TOKEN 环境变量")
|
|
||||||
return
|
|
||||||
|
|
||||||
bot = telebot.TeleBot(token)
|
|
||||||
db = DBManager()
|
|
||||||
weather = WeatherDataCollector(config)
|
|
||||||
start_trade_alert_push_loop(bot, config)
|
|
||||||
start_polygon_wallet_watch_loop(bot)
|
|
||||||
start_polymarket_wallet_activity_loop(bot)
|
|
||||||
|
|
||||||
def _display_name(user) -> str:
|
|
||||||
return user.username or user.first_name or f"User_{user.id}"
|
|
||||||
|
|
||||||
def _ensure_query_points(message, cost: int, label: str) -> bool:
|
|
||||||
user = message.from_user
|
|
||||||
db.upsert_user(user.id, _display_name(user))
|
|
||||||
result = db.spend_points(user.id, cost)
|
|
||||||
if result.get("ok"):
|
|
||||||
return True
|
|
||||||
|
|
||||||
balance = int(result.get("balance") or 0)
|
|
||||||
required = int(result.get("required") or cost)
|
|
||||||
missing = max(0, required - balance)
|
|
||||||
bot.reply_to(
|
|
||||||
message,
|
|
||||||
(
|
|
||||||
f"❌ 积分不足,无法执行 <b>{label}</b>\n"
|
|
||||||
f"当前积分: <code>{balance}</code>\n"
|
|
||||||
f"需要积分: <code>{required}</code>\n"
|
|
||||||
f"还差积分: <code>{missing}</code>\n\n"
|
|
||||||
f"积分规则:每日签到(有效发言满 {MESSAGE_MIN_LENGTH} 字)获得 <b>{MESSAGE_POINTS}</b> 积分,"
|
|
||||||
f"每日上限 {MESSAGE_DAILY_CAP} 分。"
|
|
||||||
),
|
|
||||||
parse_mode="HTML",
|
|
||||||
)
|
|
||||||
return False
|
|
||||||
|
|
||||||
@bot.message_handler(commands=["start", "help"])
|
|
||||||
def send_welcome(message):
|
|
||||||
welcome_text = (
|
|
||||||
"🚀 <b>PolyWeather 天气查询机器人</b>\n\n"
|
|
||||||
"可用指令:\n"
|
|
||||||
f"/city [城市名] - 查询城市天气预测与实测 (消耗 {CITY_QUERY_COST} 积分)\n"
|
|
||||||
f"/deb [城市名] - 查看 DEB 融合预测准确率 (消耗 {DEB_QUERY_COST} 积分)\n"
|
|
||||||
"/top - 查看积分排行榜\n"
|
|
||||||
"/id - 获取当前聊天的 Chat ID\n\n"
|
|
||||||
"示例: <code>/city 伦敦</code>\n"
|
|
||||||
f"💡 <i>提示: 每日签到(有效发言满 {MESSAGE_MIN_LENGTH} 字)获得 <b>{MESSAGE_POINTS}</b> 积分,"
|
|
||||||
f"每日上限 {MESSAGE_DAILY_CAP} 分。</i>"
|
|
||||||
)
|
|
||||||
bot.reply_to(message, welcome_text, parse_mode="HTML")
|
|
||||||
|
|
||||||
@bot.message_handler(commands=["id"])
|
|
||||||
def get_chat_id(message):
|
|
||||||
bot.reply_to(
|
|
||||||
message,
|
|
||||||
f"🎯 当前聊天的 Chat ID 是: <code>{message.chat.id}</code>",
|
|
||||||
parse_mode="HTML",
|
|
||||||
)
|
|
||||||
|
|
||||||
@bot.message_handler(commands=["top"])
|
|
||||||
def show_points(message):
|
|
||||||
"""显示当前用户的积分及排行榜"""
|
|
||||||
user = message.from_user
|
|
||||||
db.upsert_user(user.id, _display_name(user))
|
|
||||||
user_info = db.get_user(user.id)
|
|
||||||
|
|
||||||
leaderboard = db.get_leaderboard(limit=5)
|
|
||||||
rank_text = "🏆 <b>PolyWeather 活跃度排行榜</b>\n"
|
|
||||||
rank_text += "────────────────────\n"
|
|
||||||
for i, entry in enumerate(leaderboard):
|
|
||||||
medal = ["🥇", "🥈", "🥉", " ", " "][i] if i < 5 else " "
|
|
||||||
rank_text += f"{medal} {entry['username'][:12]}: <b>{entry['points']}</b> 点\n"
|
|
||||||
|
|
||||||
if user_info:
|
|
||||||
rank_text += "────────────────────\n"
|
|
||||||
rank_text += (
|
|
||||||
f"👤 <b>我的状态:</b>\n"
|
|
||||||
f"┣ 积分: <code>{user_info['points']}</code>\n"
|
|
||||||
f"┣ 发言: <code>{user_info['message_count']}</code> 次\n"
|
|
||||||
f"┣ 今日发言积分: <code>{user_info.get('daily_points') or 0}/{MESSAGE_DAILY_CAP}</code>\n"
|
|
||||||
f"┗ /city 消耗: <code>{CITY_QUERY_COST}</code> | /deb 消耗: <code>{DEB_QUERY_COST}</code>"
|
|
||||||
)
|
|
||||||
|
|
||||||
bot.send_message(message.chat.id, rank_text, parse_mode="HTML")
|
|
||||||
@bot.message_handler(commands=["deb"])
|
|
||||||
def deb_accuracy(message):
|
|
||||||
"""查询 DEB 融合预测的近 7 天准确率。"""
|
|
||||||
try:
|
|
||||||
parts = message.text.split(maxsplit=1)
|
|
||||||
if len(parts) < 2:
|
|
||||||
bot.reply_to(
|
|
||||||
message,
|
|
||||||
"❌ 用法: <code>/deb ankara</code>",
|
|
||||||
parse_mode="HTML",
|
|
||||||
)
|
|
||||||
return
|
|
||||||
|
|
||||||
from datetime import datetime as _dt, timedelta as _td
|
|
||||||
import os as _os
|
|
||||||
|
|
||||||
from src.analysis.deb_algorithm import (
|
|
||||||
load_history,
|
|
||||||
_is_excluded_model_name,
|
|
||||||
reconcile_recent_actual_highs,
|
|
||||||
)
|
|
||||||
from src.data_collection.city_registry import ALIASES
|
|
||||||
|
|
||||||
city_input = parts[1].strip().lower()
|
|
||||||
city_name = ALIASES.get(city_input, city_input)
|
|
||||||
|
|
||||||
project_root = _os.path.dirname(_os.path.abspath(__file__))
|
|
||||||
history_file = _os.path.join(project_root, "data", "daily_records.json")
|
|
||||||
data = load_history(history_file)
|
|
||||||
|
|
||||||
if city_name not in data or not data[city_name]:
|
|
||||||
bot.reply_to(
|
|
||||||
message,
|
|
||||||
f"❌ 暂无 {city_name} 的历史数据。",
|
|
||||||
parse_mode="HTML",
|
|
||||||
)
|
|
||||||
return
|
|
||||||
|
|
||||||
if not _ensure_query_points(message, DEB_QUERY_COST, "/deb"):
|
|
||||||
return
|
|
||||||
|
|
||||||
reconcile_info = reconcile_recent_actual_highs(city_name, lookback_days=7)
|
|
||||||
# Reload in case reconciliation updated the file
|
|
||||||
data = load_history(history_file)
|
|
||||||
city_data = data[city_name]
|
|
||||||
today = _dt.now().date()
|
|
||||||
today_str = today.strftime("%Y-%m-%d")
|
|
||||||
cutoff_date = today - _td(days=6)
|
|
||||||
|
|
||||||
recent_items = []
|
|
||||||
for date_str, record in city_data.items():
|
|
||||||
try:
|
|
||||||
row_date = _dt.strptime(date_str, "%Y-%m-%d").date()
|
|
||||||
except Exception:
|
|
||||||
continue
|
|
||||||
if row_date >= cutoff_date:
|
|
||||||
recent_items.append((date_str, record, row_date))
|
|
||||||
|
|
||||||
recent_items.sort(key=lambda item: item[0])
|
|
||||||
|
|
||||||
lines = [
|
|
||||||
f"📊 <b>DEB 准确率报告 - {city_name.title()}</b>",
|
|
||||||
"",
|
|
||||||
"📅 <b>近日记录:</b>",
|
|
||||||
]
|
|
||||||
if (
|
|
||||||
isinstance(reconcile_info, dict)
|
|
||||||
and reconcile_info.get("ok")
|
|
||||||
and int(reconcile_info.get("updated") or 0) > 0
|
|
||||||
):
|
|
||||||
lines.extend(
|
|
||||||
[
|
|
||||||
f"🔁 已用 METAR 历史回填修正 {int(reconcile_info.get('updated'))} 天实测最高温",
|
|
||||||
"",
|
|
||||||
]
|
|
||||||
)
|
|
||||||
total_days = 0
|
|
||||||
hits = 0
|
|
||||||
deb_errors = []
|
|
||||||
signed_errors = []
|
|
||||||
model_errors = {}
|
|
||||||
|
|
||||||
for date_str, record, _row_date in recent_items:
|
|
||||||
actual = record.get("actual_high")
|
|
||||||
deb_pred = record.get("deb_prediction")
|
|
||||||
forecasts = record.get("forecasts", {}) or {}
|
|
||||||
|
|
||||||
if actual is None:
|
|
||||||
continue
|
|
||||||
|
|
||||||
try:
|
|
||||||
actual = float(actual)
|
|
||||||
if deb_pred is not None:
|
|
||||||
deb_pred = float(deb_pred)
|
|
||||||
except Exception:
|
|
||||||
continue
|
|
||||||
|
|
||||||
if deb_pred is None and forecasts:
|
|
||||||
valid_preds = [
|
|
||||||
float(v)
|
|
||||||
for k, v in forecasts.items()
|
|
||||||
if v is not None and not _is_excluded_model_name(k)
|
|
||||||
]
|
|
||||||
if valid_preds:
|
|
||||||
deb_pred = round(sum(valid_preds) / len(valid_preds), 1)
|
|
||||||
|
|
||||||
actual_wu = round(actual)
|
|
||||||
|
|
||||||
if date_str == today_str:
|
|
||||||
lines.append(f" {date_str}: 📍 今天进行中 (实测暂 {actual:.1f})")
|
|
||||||
elif deb_pred is not None:
|
|
||||||
total_days += 1
|
|
||||||
deb_wu = round(deb_pred)
|
|
||||||
hit = deb_wu == actual_wu
|
|
||||||
if hit:
|
|
||||||
hits += 1
|
|
||||||
err = deb_pred - actual
|
|
||||||
deb_errors.append(abs(err))
|
|
||||||
signed_errors.append(err)
|
|
||||||
|
|
||||||
if hit:
|
|
||||||
result_icon = "✅"
|
|
||||||
err_text = f"偏差{abs(err):.1f}°"
|
|
||||||
elif err < 0:
|
|
||||||
result_icon = "❌"
|
|
||||||
err_text = f"低估{abs(err):.1f}°"
|
|
||||||
else:
|
|
||||||
result_icon = "❌"
|
|
||||||
err_text = f"高估{abs(err):.1f}°"
|
|
||||||
|
|
||||||
retro = "≈" if "deb_prediction" not in record else ""
|
|
||||||
lines.append(
|
|
||||||
f" {date_str}: DEB {retro}{deb_pred:.1f}→{deb_wu} vs 实测 {actual:.1f}→{actual_wu} "
|
|
||||||
f"{result_icon} {err_text}"
|
|
||||||
)
|
|
||||||
|
|
||||||
if date_str != today_str and actual is not None:
|
|
||||||
for model, pred in forecasts.items():
|
|
||||||
if _is_excluded_model_name(model):
|
|
||||||
continue
|
|
||||||
if pred is None:
|
|
||||||
continue
|
|
||||||
try:
|
|
||||||
model_errors.setdefault(model, []).append(abs(float(pred) - actual))
|
|
||||||
except Exception:
|
|
||||||
continue
|
|
||||||
|
|
||||||
if total_days > 0:
|
|
||||||
hit_rate = hits / total_days * 100
|
|
||||||
deb_mae = sum(deb_errors) / len(deb_errors)
|
|
||||||
lines.append("")
|
|
||||||
lines.append(
|
|
||||||
f"🏁 <b>DEB 总战绩:</b>WU命中 {hits}/{total_days} (<b>{hit_rate:.0f}%</b>) | MAE: {deb_mae:.1f}°"
|
|
||||||
)
|
|
||||||
|
|
||||||
if model_errors:
|
|
||||||
lines.append("")
|
|
||||||
lines.append("📈 <b>模型 MAE 对比:</b>")
|
|
||||||
model_maes = {m: sum(e) / len(e) for m, e in model_errors.items() if e}
|
|
||||||
sorted_models = sorted(model_maes.items(), key=lambda item: item[1])
|
|
||||||
for model, mae in sorted_models:
|
|
||||||
tag = " ⭐" if mae <= deb_mae else ""
|
|
||||||
lines.append(f" {model}: {mae:.1f}°{tag}")
|
|
||||||
lines.append(f" <b>DEB融合: {deb_mae:.1f}°</b>")
|
|
||||||
|
|
||||||
mean_bias = sum(signed_errors) / len(signed_errors)
|
|
||||||
underest = sum(1 for e in signed_errors if e < -0.3)
|
|
||||||
overest = sum(1 for e in signed_errors if e > 0.3)
|
|
||||||
accurate = total_days - underest - overest
|
|
||||||
|
|
||||||
lines.append("")
|
|
||||||
lines.append("🔍 <b>偏差分析:</b>")
|
|
||||||
if abs(mean_bias) > 0.3:
|
|
||||||
bias_label = "系统性低估" if mean_bias < 0 else "系统性高估"
|
|
||||||
lines.append(f" ⚠️ {bias_label}:平均偏差 {mean_bias:+.1f}°")
|
|
||||||
else:
|
|
||||||
lines.append(f" ✅ 整体无明显系统偏差:平均偏差 {mean_bias:+.1f}°")
|
|
||||||
lines.append(f" (低估 {underest} 次 | 高估 {overest} 次 | 准确 {accurate} 次)")
|
|
||||||
|
|
||||||
lines.append("")
|
|
||||||
lines.append("💡 <b>建议:</b>")
|
|
||||||
if underest > overest and abs(mean_bias) > 0.5:
|
|
||||||
lines.append(
|
|
||||||
f" 该城市模型集体低估趋势明显({mean_bias:+.1f}°),实际最高温可能比 DEB 融合值高 "
|
|
||||||
f"{abs(mean_bias):.0f}-{abs(mean_bias) + 0.5:.0f}°。交易时建议适当看高。"
|
|
||||||
)
|
|
||||||
elif overest > underest and abs(mean_bias) > 0.5:
|
|
||||||
lines.append(
|
|
||||||
f" 该城市模型集体高估趋势明显({mean_bias:+.1f}°),实际最高温可能低于 DEB 融合值。交易时注意追高风险。"
|
|
||||||
)
|
|
||||||
elif deb_mae > 1.5:
|
|
||||||
lines.append(f" 近期模型波动较大(MAE {deb_mae:.1f}°),建议降低对单一日预测的信任度。")
|
|
||||||
elif hit_rate >= 60:
|
|
||||||
lines.append(" DEB 近期表现稳定,可继续作为主要参考。")
|
|
||||||
else:
|
|
||||||
lines.append(" 近期准确率一般,建议结合主站实测与周边站点共同判断。")
|
|
||||||
|
|
||||||
lines.append("")
|
|
||||||
lines.append("📝 MAE = 平均绝对误差,越小越准。⭐ = 优于 DEB 融合。")
|
|
||||||
lines.append("📅 统计窗口:近7天滚动样本。")
|
|
||||||
else:
|
|
||||||
lines.append("")
|
|
||||||
lines.append("🔔 近 7 天尚无完整的 DEB 预测记录。")
|
|
||||||
|
|
||||||
lines.append("")
|
|
||||||
lines.append(f"💸 本次消耗 <code>{DEB_QUERY_COST}</code> 积分。")
|
|
||||||
bot.reply_to(message, "\n".join(lines), parse_mode="HTML")
|
|
||||||
except Exception as e:
|
|
||||||
bot.reply_to(message, f"❌ 查询失败: {e}")
|
|
||||||
|
|
||||||
@bot.message_handler(commands=["city"])
|
|
||||||
def get_city_info(message):
|
|
||||||
"""查询指定城市的天气详情"""
|
|
||||||
try:
|
|
||||||
parts = message.text.split(maxsplit=1)
|
|
||||||
if len(parts) < 2:
|
|
||||||
bot.reply_to(
|
|
||||||
message,
|
|
||||||
"❌ 请输入城市名称\n\n用法: <code>/city chicago</code>",
|
|
||||||
parse_mode="HTML",
|
|
||||||
)
|
|
||||||
return
|
|
||||||
|
|
||||||
city_input = parts[1].strip().lower()
|
|
||||||
city_name, supported_cities = resolve_city_name(city_input)
|
|
||||||
if not city_name:
|
|
||||||
city_list = ", ".join(supported_cities)
|
|
||||||
bot.reply_to(
|
|
||||||
message,
|
|
||||||
f"❌ 未找到城市: <b>{city_input}</b>\n\n支持的城市: {city_list}",
|
|
||||||
parse_mode="HTML",
|
|
||||||
)
|
|
||||||
return
|
|
||||||
|
|
||||||
if not _ensure_query_points(message, CITY_QUERY_COST, "/city"):
|
|
||||||
return
|
|
||||||
|
|
||||||
bot.send_message(
|
|
||||||
message.chat.id, f"🔍 正在查询 {city_name.title()} 的天气数据..."
|
|
||||||
)
|
|
||||||
|
|
||||||
coords = weather.get_coordinates(city_name)
|
|
||||||
if not coords:
|
|
||||||
bot.reply_to(message, f"❌ 未找到城市坐标: {city_name}")
|
|
||||||
return
|
|
||||||
|
|
||||||
weather_data = weather.fetch_all_sources(
|
|
||||||
city_name,
|
|
||||||
lat=coords["lat"],
|
|
||||||
lon=coords["lon"],
|
|
||||||
force_refresh=True,
|
|
||||||
)
|
|
||||||
city_report = build_city_query_report(
|
|
||||||
city_name=city_name,
|
|
||||||
weather_data=weather_data,
|
|
||||||
city_query_cost=CITY_QUERY_COST,
|
|
||||||
)
|
|
||||||
bot.send_message(message.chat.id, city_report, parse_mode="HTML")
|
|
||||||
except Exception as e:
|
|
||||||
import traceback
|
|
||||||
|
|
||||||
logger.error(f"查询失败: {e}\n{traceback.format_exc()}")
|
|
||||||
bot.reply_to(message, f"❌ 查询失败: {e}")
|
|
||||||
|
|
||||||
@bot.message_handler(func=lambda message: True, content_types=['text'])
|
|
||||||
def track_activity(message):
|
|
||||||
"""全量监听消息,用于记录群内发言积分(非指令消息)"""
|
|
||||||
if message.text.startswith('/'):
|
|
||||||
return
|
|
||||||
if message.chat.type not in ("group", "supergroup"):
|
|
||||||
return
|
|
||||||
|
|
||||||
user = message.from_user
|
|
||||||
username = _display_name(user)
|
|
||||||
db.upsert_user(user.id, username)
|
|
||||||
|
|
||||||
result = db.add_message_activity(
|
|
||||||
user.id,
|
|
||||||
text=message.text,
|
|
||||||
points_to_add=MESSAGE_POINTS,
|
|
||||||
cooldown_sec=MESSAGE_COOLDOWN_SEC,
|
|
||||||
daily_cap=MESSAGE_DAILY_CAP,
|
|
||||||
min_text_length=MESSAGE_MIN_LENGTH,
|
|
||||||
)
|
|
||||||
if result.get("awarded"):
|
|
||||||
logger.info(
|
|
||||||
f"message points awarded user={user.id} points=+{MESSAGE_POINTS} "
|
|
||||||
f"daily_points={result.get('daily_points')}/{MESSAGE_DAILY_CAP}"
|
|
||||||
)
|
|
||||||
|
|
||||||
logger.info("🤖 Bot 启动中...")
|
|
||||||
bot.infinity_polling()
|
|
||||||
|
|
||||||
|
|
||||||
if __name__ == "__main__":
|
if __name__ == "__main__":
|
||||||
start_bot()
|
start_bot()
|
||||||
|
|
||||||
|
|
||||||
|
|||||||
+93
-67
@@ -1,71 +1,97 @@
|
|||||||
# Weather API Configuration
|
|
||||||
weather:
|
weather:
|
||||||
timeout: 30
|
timeout: 30
|
||||||
|
|
||||||
# Target Cities
|
|
||||||
cities:
|
cities:
|
||||||
- id: "london"
|
- id: london
|
||||||
city: "London"
|
city: London
|
||||||
country: "UK"
|
country: UK
|
||||||
latitude: 51.5074
|
latitude: 51.5074
|
||||||
longitude: -0.1278
|
longitude: -0.1278
|
||||||
- id: "paris"
|
- id: paris
|
||||||
city: "Paris"
|
city: Paris
|
||||||
country: "France"
|
country: France
|
||||||
latitude: 48.8566
|
latitude: 48.8566
|
||||||
longitude: 2.3522
|
longitude: 2.3522
|
||||||
- id: "ankara"
|
- id: ankara
|
||||||
city: "Ankara"
|
city: Ankara
|
||||||
country: "Turkey"
|
country: Turkey
|
||||||
latitude: 39.9334
|
latitude: 39.9334
|
||||||
longitude: 32.8597
|
longitude: 32.8597
|
||||||
- id: "new_york"
|
- id: new_york
|
||||||
city: "New York"
|
city: New York
|
||||||
country: "USA"
|
country: USA
|
||||||
latitude: 40.7128
|
latitude: 40.7128
|
||||||
longitude: -74.0060
|
longitude: -74.006
|
||||||
- id: "chicago"
|
- id: chicago
|
||||||
city: "Chicago"
|
city: Chicago
|
||||||
country: "USA"
|
country: USA
|
||||||
latitude: 41.8781
|
latitude: 41.8781
|
||||||
longitude: -87.6298
|
longitude: -87.6298
|
||||||
- id: "lucknow"
|
- id: lucknow
|
||||||
city: "Lucknow"
|
city: Lucknow
|
||||||
country: "India"
|
country: India
|
||||||
latitude: 26.7606
|
latitude: 26.7606
|
||||||
longitude: 80.8893
|
longitude: 80.8893
|
||||||
- id: "sao paulo"
|
- id: sao paulo
|
||||||
city: "São Paulo"
|
city: São Paulo
|
||||||
country: "Brazil"
|
country: Brazil
|
||||||
latitude: -23.4356
|
latitude: -23.4356
|
||||||
longitude: -46.4731
|
longitude: -46.4731
|
||||||
- id: "munich"
|
- id: munich
|
||||||
city: "Munich"
|
city: Munich
|
||||||
country: "Germany"
|
country: Germany
|
||||||
latitude: 48.3538
|
latitude: 48.3538
|
||||||
longitude: 11.7861
|
longitude: 11.7861
|
||||||
- id: "hong_kong"
|
- id: hong_kong
|
||||||
city: "Hong Kong"
|
city: Hong Kong
|
||||||
country: "China"
|
country: China
|
||||||
latitude: 22.3080
|
latitude: 22.3019
|
||||||
longitude: 113.9185
|
longitude: 114.1742
|
||||||
- id: "shanghai"
|
- id: shanghai
|
||||||
city: "Shanghai"
|
city: Shanghai
|
||||||
country: "China"
|
country: China
|
||||||
latitude: 31.1434
|
latitude: 31.1434
|
||||||
longitude: 121.8052
|
longitude: 121.8052
|
||||||
- id: "singapore"
|
- id: singapore
|
||||||
city: "Singapore"
|
city: Singapore
|
||||||
country: "Singapore"
|
country: Singapore
|
||||||
latitude: 1.3644
|
latitude: 1.3644
|
||||||
longitude: 103.9915
|
longitude: 103.9915
|
||||||
- id: "tokyo"
|
- id: tokyo
|
||||||
city: "Tokyo"
|
city: Tokyo
|
||||||
country: "Japan"
|
country: Japan
|
||||||
latitude: 35.5523
|
latitude: 35.5523
|
||||||
longitude: 139.7798
|
longitude: 139.7798
|
||||||
# Logging
|
- id: tel_aviv
|
||||||
|
city: Tel Aviv
|
||||||
|
country: Israel
|
||||||
|
latitude: 32.0114
|
||||||
|
longitude: 34.8867
|
||||||
|
- id: chengdu
|
||||||
|
city: Chengdu
|
||||||
|
country: China
|
||||||
|
latitude: 30.5785
|
||||||
|
longitude: 103.9471
|
||||||
|
- id: chongqing
|
||||||
|
city: Chongqing
|
||||||
|
country: China
|
||||||
|
latitude: 29.7196
|
||||||
|
longitude: 106.6416
|
||||||
|
- id: shenzhen
|
||||||
|
city: Shenzhen
|
||||||
|
country: China
|
||||||
|
latitude: 22.6393
|
||||||
|
longitude: 113.8107
|
||||||
|
- id: beijing
|
||||||
|
city: Beijing
|
||||||
|
country: China
|
||||||
|
latitude: 40.0801
|
||||||
|
longitude: 116.5846
|
||||||
|
- id: wuhan
|
||||||
|
city: Wuhan
|
||||||
|
country: China
|
||||||
|
latitude: 30.7838
|
||||||
|
longitude: 114.2081
|
||||||
logging:
|
logging:
|
||||||
level: "INFO"
|
level: INFO
|
||||||
rotation: "10 MB"
|
rotation: 10 MB
|
||||||
retention: "10 days"
|
retention: 10 days
|
||||||
|
|||||||
@@ -0,0 +1,54 @@
|
|||||||
|
// SPDX-License-Identifier: MIT
|
||||||
|
pragma solidity ^0.8.24;
|
||||||
|
|
||||||
|
interface IERC20 {
|
||||||
|
function transferFrom(address from, address to, uint256 value) external returns (bool);
|
||||||
|
}
|
||||||
|
|
||||||
|
contract PolyWeatherCheckout {
|
||||||
|
address public owner;
|
||||||
|
address public treasury;
|
||||||
|
mapping(address => bool) public allowedToken;
|
||||||
|
mapping(bytes32 => bool) public paidOrder;
|
||||||
|
|
||||||
|
event OrderPaid(
|
||||||
|
bytes32 indexed orderId,
|
||||||
|
address indexed payer,
|
||||||
|
uint256 indexed planId,
|
||||||
|
address token,
|
||||||
|
uint256 amount
|
||||||
|
);
|
||||||
|
|
||||||
|
modifier onlyOwner() {
|
||||||
|
require(msg.sender == owner, "ONLY_OWNER");
|
||||||
|
_;
|
||||||
|
}
|
||||||
|
|
||||||
|
constructor(address _token, address _treasury) {
|
||||||
|
require(_token != address(0) && _treasury != address(0), "ZERO_ADDR");
|
||||||
|
owner = msg.sender;
|
||||||
|
treasury = _treasury;
|
||||||
|
allowedToken[_token] = true;
|
||||||
|
}
|
||||||
|
|
||||||
|
function setTreasury(address _treasury) external onlyOwner {
|
||||||
|
require(_treasury != address(0), "ZERO_ADDR");
|
||||||
|
treasury = _treasury;
|
||||||
|
}
|
||||||
|
|
||||||
|
function setTokenAllowed(address token, bool allowed) external onlyOwner {
|
||||||
|
require(token != address(0), "ZERO_ADDR");
|
||||||
|
allowedToken[token] = allowed;
|
||||||
|
}
|
||||||
|
|
||||||
|
function pay(bytes32 orderId, uint256 planId, uint256 amount, address token) external {
|
||||||
|
require(allowedToken[token], "TOKEN_NOT_ALLOWED");
|
||||||
|
require(amount > 0, "AMOUNT_ZERO");
|
||||||
|
require(!paidOrder[orderId], "ORDER_PAID");
|
||||||
|
|
||||||
|
paidOrder[orderId] = true;
|
||||||
|
require(IERC20(token).transferFrom(msg.sender, treasury, amount), "TRANSFER_FAILED");
|
||||||
|
|
||||||
|
emit OrderPaid(orderId, msg.sender, planId, token, amount);
|
||||||
|
}
|
||||||
|
}
|
||||||
@@ -0,0 +1,267 @@
|
|||||||
|
// SPDX-License-Identifier: MIT
|
||||||
|
pragma solidity ^0.8.24;
|
||||||
|
|
||||||
|
interface IERC20 {
|
||||||
|
function transferFrom(address from, address to, uint256 value) external returns (bool);
|
||||||
|
function transfer(address to, uint256 value) external returns (bool);
|
||||||
|
}
|
||||||
|
|
||||||
|
library Address {
|
||||||
|
function functionCall(address target, bytes memory data, string memory errorMessage) internal returns (bytes memory) {
|
||||||
|
(bool success, bytes memory returndata) = target.call(data);
|
||||||
|
require(success, errorMessage);
|
||||||
|
return returndata;
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
library SafeERC20 {
|
||||||
|
using Address for address;
|
||||||
|
|
||||||
|
function safeTransferFrom(IERC20 token, address from, address to, uint256 value) internal {
|
||||||
|
bytes memory returndata = address(token).functionCall(
|
||||||
|
abi.encodeWithSelector(token.transferFrom.selector, from, to, value),
|
||||||
|
"SAFE_TRANSFER_FROM_FAILED"
|
||||||
|
);
|
||||||
|
if (returndata.length > 0) {
|
||||||
|
require(abi.decode(returndata, (bool)), "SAFE_TRANSFER_FROM_FALSE");
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
function safeTransfer(IERC20 token, address to, uint256 value) internal {
|
||||||
|
bytes memory returndata = address(token).functionCall(
|
||||||
|
abi.encodeWithSelector(token.transfer.selector, to, value),
|
||||||
|
"SAFE_TRANSFER_FAILED"
|
||||||
|
);
|
||||||
|
if (returndata.length > 0) {
|
||||||
|
require(abi.decode(returndata, (bool)), "SAFE_TRANSFER_FALSE");
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
abstract contract Ownable {
|
||||||
|
address public owner;
|
||||||
|
|
||||||
|
event OwnershipTransferred(address indexed previousOwner, address indexed newOwner);
|
||||||
|
|
||||||
|
modifier onlyOwner() {
|
||||||
|
require(msg.sender == owner, "ONLY_OWNER");
|
||||||
|
_;
|
||||||
|
}
|
||||||
|
|
||||||
|
constructor(address initialOwner) {
|
||||||
|
require(initialOwner != address(0), "ZERO_OWNER");
|
||||||
|
owner = initialOwner;
|
||||||
|
emit OwnershipTransferred(address(0), initialOwner);
|
||||||
|
}
|
||||||
|
|
||||||
|
function transferOwnership(address newOwner) external onlyOwner {
|
||||||
|
require(newOwner != address(0), "ZERO_OWNER");
|
||||||
|
emit OwnershipTransferred(owner, newOwner);
|
||||||
|
owner = newOwner;
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
abstract contract Pausable {
|
||||||
|
bool public paused;
|
||||||
|
|
||||||
|
event Paused(address indexed account);
|
||||||
|
event Unpaused(address indexed account);
|
||||||
|
|
||||||
|
modifier whenNotPaused() {
|
||||||
|
require(!paused, "PAUSED");
|
||||||
|
_;
|
||||||
|
}
|
||||||
|
|
||||||
|
function _pause() internal {
|
||||||
|
require(!paused, "PAUSED");
|
||||||
|
paused = true;
|
||||||
|
emit Paused(msg.sender);
|
||||||
|
}
|
||||||
|
|
||||||
|
function _unpause() internal {
|
||||||
|
require(paused, "NOT_PAUSED");
|
||||||
|
paused = false;
|
||||||
|
emit Unpaused(msg.sender);
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
abstract contract ReentrancyGuard {
|
||||||
|
uint256 private _status = 1;
|
||||||
|
|
||||||
|
modifier nonReentrant() {
|
||||||
|
require(_status == 1, "REENTRANT");
|
||||||
|
_status = 2;
|
||||||
|
_;
|
||||||
|
_status = 1;
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
contract PolyWeatherCheckoutV2 is Ownable, Pausable, ReentrancyGuard {
|
||||||
|
using SafeERC20 for IERC20;
|
||||||
|
|
||||||
|
struct PlanConfig {
|
||||||
|
uint256 amount;
|
||||||
|
bool active;
|
||||||
|
}
|
||||||
|
|
||||||
|
bytes32 public constant AUTHORIZED_PAYMENT_TYPEHASH =
|
||||||
|
keccak256(
|
||||||
|
"AuthorizedPayment(bytes32 orderId,address payer,uint256 planId,address token,uint256 amount,uint256 nonce,uint256 deadline)"
|
||||||
|
);
|
||||||
|
|
||||||
|
bytes32 public immutable DOMAIN_SEPARATOR;
|
||||||
|
|
||||||
|
address public treasury;
|
||||||
|
address public signer;
|
||||||
|
mapping(address => bool) public allowedToken;
|
||||||
|
mapping(bytes32 => bool) public paidOrder;
|
||||||
|
mapping(uint256 => mapping(address => PlanConfig)) public planConfig;
|
||||||
|
mapping(address => uint256) public payerNonce;
|
||||||
|
|
||||||
|
event OrderPaid(
|
||||||
|
bytes32 indexed orderId,
|
||||||
|
address indexed payer,
|
||||||
|
uint256 indexed planId,
|
||||||
|
address token,
|
||||||
|
uint256 amount
|
||||||
|
);
|
||||||
|
event TreasuryUpdated(address indexed treasury);
|
||||||
|
event SignerUpdated(address indexed signer);
|
||||||
|
event TokenAllowedUpdated(address indexed token, bool allowed);
|
||||||
|
event PlanConfigured(uint256 indexed planId, address indexed token, uint256 amount, bool active);
|
||||||
|
|
||||||
|
constructor(address initialOwner, address initialTreasury, address initialSigner)
|
||||||
|
Ownable(initialOwner)
|
||||||
|
{
|
||||||
|
require(initialTreasury != address(0), "ZERO_TREASURY");
|
||||||
|
treasury = initialTreasury;
|
||||||
|
signer = initialSigner;
|
||||||
|
|
||||||
|
uint256 chainId;
|
||||||
|
assembly {
|
||||||
|
chainId := chainid()
|
||||||
|
}
|
||||||
|
DOMAIN_SEPARATOR = keccak256(
|
||||||
|
abi.encode(
|
||||||
|
keccak256(
|
||||||
|
"EIP712Domain(string name,string version,uint256 chainId,address verifyingContract)"
|
||||||
|
),
|
||||||
|
keccak256(bytes("PolyWeatherCheckoutV2")),
|
||||||
|
keccak256(bytes("1")),
|
||||||
|
chainId,
|
||||||
|
address(this)
|
||||||
|
)
|
||||||
|
);
|
||||||
|
}
|
||||||
|
|
||||||
|
function setTreasury(address newTreasury) external onlyOwner {
|
||||||
|
require(newTreasury != address(0), "ZERO_ADDR");
|
||||||
|
treasury = newTreasury;
|
||||||
|
emit TreasuryUpdated(newTreasury);
|
||||||
|
}
|
||||||
|
|
||||||
|
function setSigner(address newSigner) external onlyOwner {
|
||||||
|
signer = newSigner;
|
||||||
|
emit SignerUpdated(newSigner);
|
||||||
|
}
|
||||||
|
|
||||||
|
function setTokenAllowed(address token, bool allowed) external onlyOwner {
|
||||||
|
require(token != address(0), "ZERO_ADDR");
|
||||||
|
allowedToken[token] = allowed;
|
||||||
|
emit TokenAllowedUpdated(token, allowed);
|
||||||
|
}
|
||||||
|
|
||||||
|
function setPlan(uint256 planId, address token, uint256 amount, bool active) external onlyOwner {
|
||||||
|
require(planId > 0, "PLAN_ZERO");
|
||||||
|
require(token != address(0), "ZERO_ADDR");
|
||||||
|
require(amount > 0 || !active, "AMOUNT_ZERO");
|
||||||
|
planConfig[planId][token] = PlanConfig({amount: amount, active: active});
|
||||||
|
emit PlanConfigured(planId, token, amount, active);
|
||||||
|
}
|
||||||
|
|
||||||
|
function pause() external onlyOwner {
|
||||||
|
_pause();
|
||||||
|
}
|
||||||
|
|
||||||
|
function unpause() external onlyOwner {
|
||||||
|
_unpause();
|
||||||
|
}
|
||||||
|
|
||||||
|
function payPlan(bytes32 orderId, uint256 planId, address token)
|
||||||
|
external
|
||||||
|
whenNotPaused
|
||||||
|
nonReentrant
|
||||||
|
{
|
||||||
|
require(allowedToken[token], "TOKEN_NOT_ALLOWED");
|
||||||
|
PlanConfig memory config = planConfig[planId][token];
|
||||||
|
require(config.active, "PLAN_NOT_ACTIVE");
|
||||||
|
require(config.amount > 0, "PLAN_AMOUNT_ZERO");
|
||||||
|
_collect(orderId, msg.sender, planId, token, config.amount);
|
||||||
|
}
|
||||||
|
|
||||||
|
function payAuthorized(
|
||||||
|
bytes32 orderId,
|
||||||
|
uint256 planId,
|
||||||
|
address token,
|
||||||
|
uint256 amount,
|
||||||
|
uint256 deadline,
|
||||||
|
bytes calldata signature
|
||||||
|
) external whenNotPaused nonReentrant {
|
||||||
|
require(allowedToken[token], "TOKEN_NOT_ALLOWED");
|
||||||
|
require(amount > 0, "AMOUNT_ZERO");
|
||||||
|
require(deadline >= block.timestamp, "AUTH_EXPIRED");
|
||||||
|
require(signer != address(0), "SIGNER_NOT_SET");
|
||||||
|
|
||||||
|
uint256 nonce = payerNonce[msg.sender];
|
||||||
|
bytes32 structHash = keccak256(
|
||||||
|
abi.encode(
|
||||||
|
AUTHORIZED_PAYMENT_TYPEHASH,
|
||||||
|
orderId,
|
||||||
|
msg.sender,
|
||||||
|
planId,
|
||||||
|
token,
|
||||||
|
amount,
|
||||||
|
nonce,
|
||||||
|
deadline
|
||||||
|
)
|
||||||
|
);
|
||||||
|
bytes32 digest = keccak256(
|
||||||
|
abi.encodePacked("\x19\x01", DOMAIN_SEPARATOR, structHash)
|
||||||
|
);
|
||||||
|
require(_recover(digest, signature) == signer, "BAD_SIGNATURE");
|
||||||
|
payerNonce[msg.sender] = nonce + 1;
|
||||||
|
|
||||||
|
_collect(orderId, msg.sender, planId, token, amount);
|
||||||
|
}
|
||||||
|
|
||||||
|
function rescueToken(address token, address to, uint256 amount) external onlyOwner nonReentrant {
|
||||||
|
require(token != address(0) && to != address(0), "ZERO_ADDR");
|
||||||
|
IERC20(token).safeTransfer(to, amount);
|
||||||
|
}
|
||||||
|
|
||||||
|
function _collect(bytes32 orderId, address payer, uint256 planId, address token, uint256 amount) internal {
|
||||||
|
require(!paidOrder[orderId], "ORDER_PAID");
|
||||||
|
paidOrder[orderId] = true;
|
||||||
|
IERC20(token).safeTransferFrom(payer, treasury, amount);
|
||||||
|
emit OrderPaid(orderId, payer, planId, token, amount);
|
||||||
|
}
|
||||||
|
|
||||||
|
function _recover(bytes32 digest, bytes calldata signature) internal pure returns (address) {
|
||||||
|
require(signature.length == 65, "BAD_SIG_LEN");
|
||||||
|
bytes32 r;
|
||||||
|
bytes32 s;
|
||||||
|
uint8 v;
|
||||||
|
assembly {
|
||||||
|
r := calldataload(signature.offset)
|
||||||
|
s := calldataload(add(signature.offset, 32))
|
||||||
|
v := byte(0, calldataload(add(signature.offset, 64)))
|
||||||
|
}
|
||||||
|
if (v < 27) {
|
||||||
|
v += 27;
|
||||||
|
}
|
||||||
|
require(v == 27 || v == 28, "BAD_SIG_V");
|
||||||
|
address recovered = ecrecover(digest, v, r, s);
|
||||||
|
require(recovered != address(0), "BAD_SIG");
|
||||||
|
return recovered;
|
||||||
|
}
|
||||||
|
}
|
||||||
Binary file not shown.
@@ -0,0 +1,118 @@
|
|||||||
|
{"city": "ankara", "timestamp": "2026-03-20T12:00:00+03:00", "date": "2026-03-20", "temp_symbol": "°C", "raw_mu": 15.2, "raw_sigma": 1.2, "deb_prediction": 15.4, "ensemble": {"p10": 14.8, "median": 15.8, "p90": 17.9}, "multi_model": {"ECMWF": 15.8, "GFS": 14.1, "ICON": 15.9}, "max_so_far": 15.0, "peak_status": "before", "prob_snapshot": [{"v": 15, "p": 0.552}, {"v": 16, "p": 0.377}], "shadow_prob_snapshot": [{"v": 15, "p": 0.324}, {"v": 16, "p": 0.238}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320130245", "calibration_source": "artifacts/probability_calibration/default.json", "calibrated_mu": 15.1, "calibrated_sigma": 1.25}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 10:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 29.7, "raw_sigma": 1.5625, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 26.0, "peak_status": "before", "prob_snapshot": [{"v": 30, "p": 0.254}, {"v": 29, "p": 0.234}, {"v": 31, "p": 0.185}, {"v": 28, "p": 0.146}], "shadow_prob_snapshot": [{"v": 30, "p": 0.254}, {"v": 29, "p": 0.234}, {"v": 31, "p": 0.185}, {"v": 28, "p": 0.146}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 29.7, "calibrated_sigma": 1.5625}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 17:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 23.0, "raw_sigma": 0.46875, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 23.0, "peak_status": "past", "prob_snapshot": [{"v": 23, "p": 0.834}, {"v": 24, "p": 0.166}], "shadow_prob_snapshot": [{"v": 23, "p": 0.834}, {"v": 24, "p": 0.166}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 23.0, "calibrated_sigma": 0.46875}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 14:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 33.3, "raw_sigma": 1.09375, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 33.0, "peak_status": "in_window", "prob_snapshot": [{"v": 33, "p": 0.456}, {"v": 34, "p": 0.391}, {"v": 35, "p": 0.153}], "shadow_prob_snapshot": [{"v": 33, "p": 0.456}, {"v": 34, "p": 0.391}, {"v": 35, "p": 0.153}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 33.3, "calibrated_sigma": 1.09375}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 17:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": null, "raw_sigma": 0.46875, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 28.0, "peak_status": "past", "prob_snapshot": [{"v": 28, "p": 1.0}], "shadow_prob_snapshot": [], "probability_engine": "legacy", "probability_mode": "legacy", "calibration_version": null, "calibration_source": null, "calibrated_mu": null, "calibrated_sigma": null}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 14:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 29.7, "raw_sigma": 1.09375, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 28.0, "peak_status": "in_window", "prob_snapshot": [{"v": 30, "p": 0.35}, {"v": 29, "p": 0.299}, {"v": 31, "p": 0.187}, {"v": 28, "p": 0.117}], "shadow_prob_snapshot": [{"v": 30, "p": 0.35}, {"v": 29, "p": 0.299}, {"v": 31, "p": 0.187}, {"v": 28, "p": 0.117}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 29.7, "calibrated_sigma": 1.09375}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 22:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": null, "raw_sigma": 0.46875, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 28.0, "peak_status": "past", "prob_snapshot": [{"v": 28, "p": 1.0}], "shadow_prob_snapshot": [], "probability_engine": "legacy", "probability_mode": "legacy", "calibration_version": null, "calibration_source": null, "calibrated_mu": null, "calibrated_sigma": null}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 16:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 23.0, "raw_sigma": 0.46875, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 23.0, "peak_status": "past", "prob_snapshot": [{"v": 23, "p": 0.834}, {"v": 24, "p": 0.166}], "shadow_prob_snapshot": [{"v": 23, "p": 0.834}, {"v": 24, "p": 0.166}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 23.0, "calibrated_sigma": 0.46875}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 14:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 29.85, "raw_sigma": 1.09375, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.5, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 29.5, "peak_status": "in_window", "prob_snapshot": [{"v": 30, "p": 0.565}, {"v": 31, "p": 0.341}, {"v": 32, "p": 0.094}], "shadow_prob_snapshot": [{"v": 30, "p": 0.565}, {"v": 31, "p": 0.341}, {"v": 32, "p": 0.094}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 29.85, "calibrated_sigma": 1.09375}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 14:30", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 29.7, "raw_sigma": 1.09375, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 28.0, "peak_status": "in_window", "prob_snapshot": [{"v": 30, "p": 0.35}, {"v": 29, "p": 0.299}, {"v": 31, "p": 0.187}, {"v": 28, "p": 0.117}], "shadow_prob_snapshot": [{"v": 30, "p": 0.35}, {"v": 29, "p": 0.299}, {"v": 31, "p": 0.187}, {"v": 28, "p": 0.117}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 29.7, "calibrated_sigma": 1.09375}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 10:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 29.7, "raw_sigma": 1.5625, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 26.0, "peak_status": "before", "prob_snapshot": [{"v": 30, "p": 0.254}, {"v": 29, "p": 0.234}, {"v": 31, "p": 0.185}, {"v": 28, "p": 0.146}], "shadow_prob_snapshot": [{"v": 30, "p": 0.254}, {"v": 29, "p": 0.234}, {"v": 31, "p": 0.185}, {"v": 28, "p": 0.146}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 29.7, "calibrated_sigma": 1.5625}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 17:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 23.0, "raw_sigma": 0.46875, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 23.0, "peak_status": "past", "prob_snapshot": [{"v": 23, "p": 0.834}, {"v": 24, "p": 0.166}], "shadow_prob_snapshot": [{"v": 23, "p": 0.834}, {"v": 24, "p": 0.166}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 23.0, "calibrated_sigma": 0.46875}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 14:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 33.3, "raw_sigma": 1.09375, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 33.0, "peak_status": "in_window", "prob_snapshot": [{"v": 33, "p": 0.456}, {"v": 34, "p": 0.391}, {"v": 35, "p": 0.153}], "shadow_prob_snapshot": [{"v": 33, "p": 0.456}, {"v": 34, "p": 0.391}, {"v": 35, "p": 0.153}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 33.3, "calibrated_sigma": 1.09375}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 17:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": null, "raw_sigma": 0.46875, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 28.0, "peak_status": "past", "prob_snapshot": [{"v": 28, "p": 1.0}], "shadow_prob_snapshot": [], "probability_engine": "legacy", "probability_mode": "legacy", "calibration_version": null, "calibration_source": null, "calibrated_mu": null, "calibrated_sigma": null}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 14:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 29.7, "raw_sigma": 1.09375, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 28.0, "peak_status": "in_window", "prob_snapshot": [{"v": 30, "p": 0.35}, {"v": 29, "p": 0.299}, {"v": 31, "p": 0.187}, {"v": 28, "p": 0.117}], "shadow_prob_snapshot": [{"v": 30, "p": 0.35}, {"v": 29, "p": 0.299}, {"v": 31, "p": 0.187}, {"v": 28, "p": 0.117}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 29.7, "calibrated_sigma": 1.09375}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 22:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": null, "raw_sigma": 0.46875, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 28.0, "peak_status": "past", "prob_snapshot": [{"v": 28, "p": 1.0}], "shadow_prob_snapshot": [], "probability_engine": "legacy", "probability_mode": "legacy", "calibration_version": null, "calibration_source": null, "calibrated_mu": null, "calibrated_sigma": null}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 16:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 23.0, "raw_sigma": 0.46875, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 23.0, "peak_status": "past", "prob_snapshot": [{"v": 23, "p": 0.834}, {"v": 24, "p": 0.166}], "shadow_prob_snapshot": [{"v": 23, "p": 0.834}, {"v": 24, "p": 0.166}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 23.0, "calibrated_sigma": 0.46875}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 14:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 29.85, "raw_sigma": 1.09375, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.5, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 29.5, "peak_status": "in_window", "prob_snapshot": [{"v": 30, "p": 0.565}, {"v": 31, "p": 0.341}, {"v": 32, "p": 0.094}], "shadow_prob_snapshot": [{"v": 30, "p": 0.565}, {"v": 31, "p": 0.341}, {"v": 32, "p": 0.094}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 29.85, "calibrated_sigma": 1.09375}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 14:30", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 29.7, "raw_sigma": 1.09375, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 28.0, "peak_status": "in_window", "prob_snapshot": [{"v": 30, "p": 0.35}, {"v": 29, "p": 0.299}, {"v": 31, "p": 0.187}, {"v": 28, "p": 0.117}], "shadow_prob_snapshot": [{"v": 30, "p": 0.35}, {"v": 29, "p": 0.299}, {"v": 31, "p": 0.187}, {"v": 28, "p": 0.117}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 29.7, "calibrated_sigma": 1.09375}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 10:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 29.7, "raw_sigma": 1.5625, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 26.0, "peak_status": "before", "prob_snapshot": [{"v": 30, "p": 0.254}, {"v": 29, "p": 0.234}, {"v": 31, "p": 0.185}, {"v": 28, "p": 0.146}], "shadow_prob_snapshot": [{"v": 30, "p": 0.254}, {"v": 29, "p": 0.234}, {"v": 31, "p": 0.185}, {"v": 28, "p": 0.146}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 29.7, "calibrated_sigma": 1.5625}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 17:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 23.0, "raw_sigma": 0.46875, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 23.0, "peak_status": "past", "prob_snapshot": [{"v": 23, "p": 0.834}, {"v": 24, "p": 0.166}], "shadow_prob_snapshot": [{"v": 23, "p": 0.834}, {"v": 24, "p": 0.166}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 23.0, "calibrated_sigma": 0.46875}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 14:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 33.3, "raw_sigma": 1.09375, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 33.0, "peak_status": "in_window", "prob_snapshot": [{"v": 33, "p": 0.456}, {"v": 34, "p": 0.391}, {"v": 35, "p": 0.153}], "shadow_prob_snapshot": [{"v": 33, "p": 0.456}, {"v": 34, "p": 0.391}, {"v": 35, "p": 0.153}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 33.3, "calibrated_sigma": 1.09375}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 17:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": null, "raw_sigma": 0.46875, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 28.0, "peak_status": "past", "prob_snapshot": [{"v": 28, "p": 1.0}], "shadow_prob_snapshot": [], "probability_engine": "legacy", "probability_mode": "legacy", "calibration_version": null, "calibration_source": null, "calibrated_mu": null, "calibrated_sigma": null}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 14:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 29.7, "raw_sigma": 1.09375, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 28.0, "peak_status": "in_window", "prob_snapshot": [{"v": 30, "p": 0.35}, {"v": 29, "p": 0.299}, {"v": 31, "p": 0.187}, {"v": 28, "p": 0.117}], "shadow_prob_snapshot": [{"v": 30, "p": 0.35}, {"v": 29, "p": 0.299}, {"v": 31, "p": 0.187}, {"v": 28, "p": 0.117}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 29.7, "calibrated_sigma": 1.09375}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 22:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": null, "raw_sigma": 0.46875, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 28.0, "peak_status": "past", "prob_snapshot": [{"v": 28, "p": 1.0}], "shadow_prob_snapshot": [], "probability_engine": "legacy", "probability_mode": "legacy", "calibration_version": null, "calibration_source": null, "calibrated_mu": null, "calibrated_sigma": null}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 16:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 23.0, "raw_sigma": 0.46875, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 23.0, "peak_status": "past", "prob_snapshot": [{"v": 23, "p": 0.834}, {"v": 24, "p": 0.166}], "shadow_prob_snapshot": [{"v": 23, "p": 0.834}, {"v": 24, "p": 0.166}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 23.0, "calibrated_sigma": 0.46875}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 14:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 29.85, "raw_sigma": 1.09375, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.5, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 29.5, "peak_status": "in_window", "prob_snapshot": [{"v": 30, "p": 0.565}, {"v": 31, "p": 0.341}, {"v": 32, "p": 0.094}], "shadow_prob_snapshot": [{"v": 30, "p": 0.565}, {"v": 31, "p": 0.341}, {"v": 32, "p": 0.094}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 29.85, "calibrated_sigma": 1.09375}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 14:30", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 29.7, "raw_sigma": 1.09375, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 28.0, "peak_status": "in_window", "prob_snapshot": [{"v": 30, "p": 0.35}, {"v": 29, "p": 0.299}, {"v": 31, "p": 0.187}, {"v": 28, "p": 0.117}], "shadow_prob_snapshot": [{"v": 30, "p": 0.35}, {"v": 29, "p": 0.299}, {"v": 31, "p": 0.187}, {"v": 28, "p": 0.117}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 29.7, "calibrated_sigma": 1.09375}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 10:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 29.7, "raw_sigma": 1.5625, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 26.0, "peak_status": "before", "prob_snapshot": [{"v": 30, "p": 0.254}, {"v": 29, "p": 0.234}, {"v": 31, "p": 0.185}, {"v": 28, "p": 0.146}], "shadow_prob_snapshot": [{"v": 30, "p": 0.254}, {"v": 29, "p": 0.234}, {"v": 31, "p": 0.185}, {"v": 28, "p": 0.146}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 29.7, "calibrated_sigma": 1.5625}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 17:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 23.0, "raw_sigma": 0.46875, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 23.0, "peak_status": "past", "prob_snapshot": [{"v": 23, "p": 0.834}, {"v": 24, "p": 0.166}], "shadow_prob_snapshot": [{"v": 23, "p": 0.834}, {"v": 24, "p": 0.166}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 23.0, "calibrated_sigma": 0.46875}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 14:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 33.3, "raw_sigma": 1.09375, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 33.0, "peak_status": "in_window", "prob_snapshot": [{"v": 33, "p": 0.456}, {"v": 34, "p": 0.391}, {"v": 35, "p": 0.153}], "shadow_prob_snapshot": [{"v": 33, "p": 0.456}, {"v": 34, "p": 0.391}, {"v": 35, "p": 0.153}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 33.3, "calibrated_sigma": 1.09375}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 17:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": null, "raw_sigma": 0.46875, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 28.0, "peak_status": "past", "prob_snapshot": [{"v": 28, "p": 1.0}], "shadow_prob_snapshot": [], "probability_engine": "legacy", "probability_mode": "legacy", "calibration_version": null, "calibration_source": null, "calibrated_mu": null, "calibrated_sigma": null}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 14:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 29.7, "raw_sigma": 1.09375, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 28.0, "peak_status": "in_window", "prob_snapshot": [{"v": 30, "p": 0.35}, {"v": 29, "p": 0.299}, {"v": 31, "p": 0.187}, {"v": 28, "p": 0.117}], "shadow_prob_snapshot": [{"v": 30, "p": 0.35}, {"v": 29, "p": 0.299}, {"v": 31, "p": 0.187}, {"v": 28, "p": 0.117}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 29.7, "calibrated_sigma": 1.09375}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 22:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": null, "raw_sigma": 0.46875, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 28.0, "peak_status": "past", "prob_snapshot": [{"v": 28, "p": 1.0}], "shadow_prob_snapshot": [], "probability_engine": "legacy", "probability_mode": "legacy", "calibration_version": null, "calibration_source": null, "calibrated_mu": null, "calibrated_sigma": null}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 16:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 23.0, "raw_sigma": 0.46875, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 23.0, "peak_status": "past", "prob_snapshot": [{"v": 23, "p": 0.834}, {"v": 24, "p": 0.166}], "shadow_prob_snapshot": [{"v": 23, "p": 0.834}, {"v": 24, "p": 0.166}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 23.0, "calibrated_sigma": 0.46875}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 14:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 29.85, "raw_sigma": 1.09375, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.5, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 29.5, "peak_status": "in_window", "prob_snapshot": [{"v": 30, "p": 0.565}, {"v": 31, "p": 0.341}, {"v": 32, "p": 0.094}], "shadow_prob_snapshot": [{"v": 30, "p": 0.565}, {"v": 31, "p": 0.341}, {"v": 32, "p": 0.094}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 29.85, "calibrated_sigma": 1.09375}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 14:30", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 29.7, "raw_sigma": 1.09375, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 28.0, "peak_status": "in_window", "prob_snapshot": [{"v": 30, "p": 0.35}, {"v": 29, "p": 0.299}, {"v": 31, "p": 0.187}, {"v": 28, "p": 0.117}], "shadow_prob_snapshot": [{"v": 30, "p": 0.35}, {"v": 29, "p": 0.299}, {"v": 31, "p": 0.187}, {"v": 28, "p": 0.117}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 29.7, "calibrated_sigma": 1.09375}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 10:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 29.7, "raw_sigma": 1.5625, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 26.0, "peak_status": "before", "prob_snapshot": [{"v": 30, "p": 0.254}, {"v": 29, "p": 0.234}, {"v": 31, "p": 0.185}, {"v": 28, "p": 0.146}], "shadow_prob_snapshot": [{"v": 30, "p": 0.254}, {"v": 29, "p": 0.234}, {"v": 31, "p": 0.185}, {"v": 28, "p": 0.146}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 29.7, "calibrated_sigma": 1.5625}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 17:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 23.0, "raw_sigma": 0.46875, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 23.0, "peak_status": "past", "prob_snapshot": [{"v": 23, "p": 0.834}, {"v": 24, "p": 0.166}], "shadow_prob_snapshot": [{"v": 23, "p": 0.834}, {"v": 24, "p": 0.166}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 23.0, "calibrated_sigma": 0.46875}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 14:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 33.3, "raw_sigma": 1.09375, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 33.0, "peak_status": "in_window", "prob_snapshot": [{"v": 33, "p": 0.456}, {"v": 34, "p": 0.391}, {"v": 35, "p": 0.153}], "shadow_prob_snapshot": [{"v": 33, "p": 0.456}, {"v": 34, "p": 0.391}, {"v": 35, "p": 0.153}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 33.3, "calibrated_sigma": 1.09375}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 17:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": null, "raw_sigma": 0.46875, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 28.0, "peak_status": "past", "prob_snapshot": [{"v": 28, "p": 1.0}], "shadow_prob_snapshot": [], "probability_engine": "legacy", "probability_mode": "legacy", "calibration_version": null, "calibration_source": null, "calibrated_mu": null, "calibrated_sigma": null}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 14:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 29.7, "raw_sigma": 1.09375, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 28.0, "peak_status": "in_window", "prob_snapshot": [{"v": 30, "p": 0.35}, {"v": 29, "p": 0.299}, {"v": 31, "p": 0.187}, {"v": 28, "p": 0.117}], "shadow_prob_snapshot": [{"v": 30, "p": 0.35}, {"v": 29, "p": 0.299}, {"v": 31, "p": 0.187}, {"v": 28, "p": 0.117}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 29.7, "calibrated_sigma": 1.09375}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 22:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": null, "raw_sigma": 0.46875, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 28.0, "peak_status": "past", "prob_snapshot": [{"v": 28, "p": 1.0}], "shadow_prob_snapshot": [], "probability_engine": "legacy", "probability_mode": "legacy", "calibration_version": null, "calibration_source": null, "calibrated_mu": null, "calibrated_sigma": null}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 16:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 23.0, "raw_sigma": 0.46875, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 23.0, "peak_status": "past", "prob_snapshot": [{"v": 23, "p": 0.834}, {"v": 24, "p": 0.166}], "shadow_prob_snapshot": [{"v": 23, "p": 0.834}, {"v": 24, "p": 0.166}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 23.0, "calibrated_sigma": 0.46875}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 14:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 29.85, "raw_sigma": 1.09375, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.5, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 29.5, "peak_status": "in_window", "prob_snapshot": [{"v": 30, "p": 0.565}, {"v": 31, "p": 0.341}, {"v": 32, "p": 0.094}], "shadow_prob_snapshot": [{"v": 30, "p": 0.565}, {"v": 31, "p": 0.341}, {"v": 32, "p": 0.094}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 29.85, "calibrated_sigma": 1.09375}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 14:30", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 29.7, "raw_sigma": 1.09375, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 28.0, "peak_status": "in_window", "prob_snapshot": [{"v": 30, "p": 0.35}, {"v": 29, "p": 0.299}, {"v": 31, "p": 0.187}, {"v": 28, "p": 0.117}], "shadow_prob_snapshot": [{"v": 30, "p": 0.35}, {"v": 29, "p": 0.299}, {"v": 31, "p": 0.187}, {"v": 28, "p": 0.117}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 29.7, "calibrated_sigma": 1.09375}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 10:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 29.7, "raw_sigma": 1.5625, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 26.0, "peak_status": "before", "prob_snapshot": [{"v": 30, "p": 0.254}, {"v": 29, "p": 0.234}, {"v": 31, "p": 0.185}, {"v": 28, "p": 0.146}], "shadow_prob_snapshot": [{"v": 30, "p": 0.254}, {"v": 29, "p": 0.234}, {"v": 31, "p": 0.185}, {"v": 28, "p": 0.146}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 29.7, "calibrated_sigma": 1.5625}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 17:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 23.0, "raw_sigma": 0.46875, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 23.0, "peak_status": "past", "prob_snapshot": [{"v": 23, "p": 0.834}, {"v": 24, "p": 0.166}], "shadow_prob_snapshot": [{"v": 23, "p": 0.834}, {"v": 24, "p": 0.166}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 23.0, "calibrated_sigma": 0.46875}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 14:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 33.3, "raw_sigma": 1.09375, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 33.0, "peak_status": "in_window", "prob_snapshot": [{"v": 33, "p": 0.456}, {"v": 34, "p": 0.391}, {"v": 35, "p": 0.153}], "shadow_prob_snapshot": [{"v": 33, "p": 0.456}, {"v": 34, "p": 0.391}, {"v": 35, "p": 0.153}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 33.3, "calibrated_sigma": 1.09375}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 17:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": null, "raw_sigma": 0.46875, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 28.0, "peak_status": "past", "prob_snapshot": [{"v": 28, "p": 1.0}], "shadow_prob_snapshot": [], "probability_engine": "legacy", "probability_mode": "legacy", "calibration_version": null, "calibration_source": null, "calibrated_mu": null, "calibrated_sigma": null}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 14:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 29.7, "raw_sigma": 1.09375, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 28.0, "peak_status": "in_window", "prob_snapshot": [{"v": 30, "p": 0.35}, {"v": 29, "p": 0.299}, {"v": 31, "p": 0.187}, {"v": 28, "p": 0.117}], "shadow_prob_snapshot": [{"v": 30, "p": 0.35}, {"v": 29, "p": 0.299}, {"v": 31, "p": 0.187}, {"v": 28, "p": 0.117}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 29.7, "calibrated_sigma": 1.09375}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 22:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": null, "raw_sigma": 0.46875, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 28.0, "peak_status": "past", "prob_snapshot": [{"v": 28, "p": 1.0}], "shadow_prob_snapshot": [], "probability_engine": "legacy", "probability_mode": "legacy", "calibration_version": null, "calibration_source": null, "calibrated_mu": null, "calibrated_sigma": null}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 16:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 23.0, "raw_sigma": 0.46875, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 23.0, "peak_status": "past", "prob_snapshot": [{"v": 23, "p": 0.834}, {"v": 24, "p": 0.166}], "shadow_prob_snapshot": [{"v": 23, "p": 0.834}, {"v": 24, "p": 0.166}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 23.0, "calibrated_sigma": 0.46875}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 14:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 29.85, "raw_sigma": 1.09375, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.5, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 29.5, "peak_status": "in_window", "prob_snapshot": [{"v": 30, "p": 0.565}, {"v": 31, "p": 0.341}, {"v": 32, "p": 0.094}], "shadow_prob_snapshot": [{"v": 30, "p": 0.565}, {"v": 31, "p": 0.341}, {"v": 32, "p": 0.094}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 29.85, "calibrated_sigma": 1.09375}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 14:30", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 29.7, "raw_sigma": 1.09375, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 28.0, "peak_status": "in_window", "prob_snapshot": [{"v": 30, "p": 0.35}, {"v": 29, "p": 0.299}, {"v": 31, "p": 0.187}, {"v": 28, "p": 0.117}], "shadow_prob_snapshot": [{"v": 30, "p": 0.35}, {"v": 29, "p": 0.299}, {"v": 31, "p": 0.187}, {"v": 28, "p": 0.117}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 29.7, "calibrated_sigma": 1.09375}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 10:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 29.7, "raw_sigma": 1.5625, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 26.0, "peak_status": "before", "prob_snapshot": [{"v": 30, "p": 0.254}, {"v": 29, "p": 0.234}, {"v": 31, "p": 0.185}, {"v": 28, "p": 0.146}], "shadow_prob_snapshot": [{"v": 30, "p": 0.254}, {"v": 29, "p": 0.234}, {"v": 31, "p": 0.185}, {"v": 28, "p": 0.146}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 29.7, "calibrated_sigma": 1.5625}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 17:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 23.0, "raw_sigma": 0.46875, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 23.0, "peak_status": "past", "prob_snapshot": [{"v": 23, "p": 0.834}, {"v": 24, "p": 0.166}], "shadow_prob_snapshot": [{"v": 23, "p": 0.834}, {"v": 24, "p": 0.166}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 23.0, "calibrated_sigma": 0.46875}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 14:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 33.3, "raw_sigma": 1.09375, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 33.0, "peak_status": "in_window", "prob_snapshot": [{"v": 33, "p": 0.456}, {"v": 34, "p": 0.391}, {"v": 35, "p": 0.153}], "shadow_prob_snapshot": [{"v": 33, "p": 0.456}, {"v": 34, "p": 0.391}, {"v": 35, "p": 0.153}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 33.3, "calibrated_sigma": 1.09375}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 17:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": null, "raw_sigma": 0.46875, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 28.0, "peak_status": "past", "prob_snapshot": [{"v": 28, "p": 1.0}], "shadow_prob_snapshot": [], "probability_engine": "legacy", "probability_mode": "legacy", "calibration_version": null, "calibration_source": null, "calibrated_mu": null, "calibrated_sigma": null}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 14:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 29.7, "raw_sigma": 1.09375, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 28.0, "peak_status": "in_window", "prob_snapshot": [{"v": 30, "p": 0.35}, {"v": 29, "p": 0.299}, {"v": 31, "p": 0.187}, {"v": 28, "p": 0.117}], "shadow_prob_snapshot": [{"v": 30, "p": 0.35}, {"v": 29, "p": 0.299}, {"v": 31, "p": 0.187}, {"v": 28, "p": 0.117}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 29.7, "calibrated_sigma": 1.09375}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 22:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": null, "raw_sigma": 0.46875, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 28.0, "peak_status": "past", "prob_snapshot": [{"v": 28, "p": 1.0}], "shadow_prob_snapshot": [], "probability_engine": "legacy", "probability_mode": "legacy", "calibration_version": null, "calibration_source": null, "calibrated_mu": null, "calibrated_sigma": null}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 16:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 23.0, "raw_sigma": 0.46875, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 23.0, "peak_status": "past", "prob_snapshot": [{"v": 23, "p": 0.834}, {"v": 24, "p": 0.166}], "shadow_prob_snapshot": [{"v": 23, "p": 0.834}, {"v": 24, "p": 0.166}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 23.0, "calibrated_sigma": 0.46875}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 14:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 29.85, "raw_sigma": 1.09375, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.5, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 29.5, "peak_status": "in_window", "prob_snapshot": [{"v": 30, "p": 0.565}, {"v": 31, "p": 0.341}, {"v": 32, "p": 0.094}], "shadow_prob_snapshot": [{"v": 30, "p": 0.565}, {"v": 31, "p": 0.341}, {"v": 32, "p": 0.094}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 29.85, "calibrated_sigma": 1.09375}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 14:30", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 29.7, "raw_sigma": 1.09375, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 28.0, "peak_status": "in_window", "prob_snapshot": [{"v": 30, "p": 0.35}, {"v": 29, "p": 0.299}, {"v": 31, "p": 0.187}, {"v": 28, "p": 0.117}], "shadow_prob_snapshot": [{"v": 30, "p": 0.35}, {"v": 29, "p": 0.299}, {"v": 31, "p": 0.187}, {"v": 28, "p": 0.117}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 29.7, "calibrated_sigma": 1.09375}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 10:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 29.7, "raw_sigma": 1.5625, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 26.0, "peak_status": "before", "prob_snapshot": [{"v": 30, "p": 0.254}, {"v": 29, "p": 0.234}, {"v": 31, "p": 0.185}, {"v": 28, "p": 0.146}], "shadow_prob_snapshot": [{"v": 30, "p": 0.254}, {"v": 29, "p": 0.234}, {"v": 31, "p": 0.185}, {"v": 28, "p": 0.146}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 29.7, "calibrated_sigma": 1.5625}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 17:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 23.0, "raw_sigma": 0.46875, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 23.0, "peak_status": "past", "prob_snapshot": [{"v": 23, "p": 0.834}, {"v": 24, "p": 0.166}], "shadow_prob_snapshot": [{"v": 23, "p": 0.834}, {"v": 24, "p": 0.166}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 23.0, "calibrated_sigma": 0.46875}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 14:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 33.3, "raw_sigma": 1.09375, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 33.0, "peak_status": "in_window", "prob_snapshot": [{"v": 33, "p": 0.456}, {"v": 34, "p": 0.391}, {"v": 35, "p": 0.153}], "shadow_prob_snapshot": [{"v": 33, "p": 0.456}, {"v": 34, "p": 0.391}, {"v": 35, "p": 0.153}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 33.3, "calibrated_sigma": 1.09375}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 17:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": null, "raw_sigma": 0.46875, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 28.0, "peak_status": "past", "prob_snapshot": [{"v": 28, "p": 1.0}], "shadow_prob_snapshot": [], "probability_engine": "legacy", "probability_mode": "legacy", "calibration_version": null, "calibration_source": null, "calibrated_mu": null, "calibrated_sigma": null}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 14:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 29.7, "raw_sigma": 1.09375, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 28.0, "peak_status": "in_window", "prob_snapshot": [{"v": 30, "p": 0.35}, {"v": 29, "p": 0.299}, {"v": 31, "p": 0.187}, {"v": 28, "p": 0.117}], "shadow_prob_snapshot": [{"v": 30, "p": 0.35}, {"v": 29, "p": 0.299}, {"v": 31, "p": 0.187}, {"v": 28, "p": 0.117}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 29.7, "calibrated_sigma": 1.09375}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 22:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": null, "raw_sigma": 0.46875, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 28.0, "peak_status": "past", "prob_snapshot": [{"v": 28, "p": 1.0}], "shadow_prob_snapshot": [], "probability_engine": "legacy", "probability_mode": "legacy", "calibration_version": null, "calibration_source": null, "calibrated_mu": null, "calibrated_sigma": null}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 16:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 23.0, "raw_sigma": 0.46875, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 23.0, "peak_status": "past", "prob_snapshot": [{"v": 23, "p": 0.834}, {"v": 24, "p": 0.166}], "shadow_prob_snapshot": [{"v": 23, "p": 0.834}, {"v": 24, "p": 0.166}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 23.0, "calibrated_sigma": 0.46875}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 14:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 29.85, "raw_sigma": 1.09375, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.5, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 29.5, "peak_status": "in_window", "prob_snapshot": [{"v": 30, "p": 0.565}, {"v": 31, "p": 0.341}, {"v": 32, "p": 0.094}], "shadow_prob_snapshot": [{"v": 30, "p": 0.565}, {"v": 31, "p": 0.341}, {"v": 32, "p": 0.094}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 29.85, "calibrated_sigma": 1.09375}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 14:30", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 29.7, "raw_sigma": 1.09375, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 28.0, "peak_status": "in_window", "prob_snapshot": [{"v": 30, "p": 0.35}, {"v": 29, "p": 0.299}, {"v": 31, "p": 0.187}, {"v": 28, "p": 0.117}], "shadow_prob_snapshot": [{"v": 30, "p": 0.35}, {"v": 29, "p": 0.299}, {"v": 31, "p": 0.187}, {"v": 28, "p": 0.117}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 29.7, "calibrated_sigma": 1.09375}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 10:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 29.7, "raw_sigma": 1.5625, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 26.0, "peak_status": "before", "prob_snapshot": [{"v": 30, "p": 0.254}, {"v": 29, "p": 0.234}, {"v": 31, "p": 0.185}, {"v": 28, "p": 0.146}], "shadow_prob_snapshot": [{"v": 30, "p": 0.254}, {"v": 29, "p": 0.234}, {"v": 31, "p": 0.185}, {"v": 28, "p": 0.146}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 29.7, "calibrated_sigma": 1.5625}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 17:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 23.0, "raw_sigma": 0.46875, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 23.0, "peak_status": "past", "prob_snapshot": [{"v": 23, "p": 0.834}, {"v": 24, "p": 0.166}], "shadow_prob_snapshot": [{"v": 23, "p": 0.834}, {"v": 24, "p": 0.166}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 23.0, "calibrated_sigma": 0.46875}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 14:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 33.3, "raw_sigma": 1.09375, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 33.0, "peak_status": "in_window", "prob_snapshot": [{"v": 33, "p": 0.456}, {"v": 34, "p": 0.391}, {"v": 35, "p": 0.153}], "shadow_prob_snapshot": [{"v": 33, "p": 0.456}, {"v": 34, "p": 0.391}, {"v": 35, "p": 0.153}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 33.3, "calibrated_sigma": 1.09375}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 17:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": null, "raw_sigma": 0.46875, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 28.0, "peak_status": "past", "prob_snapshot": [{"v": 28, "p": 1.0}], "shadow_prob_snapshot": [], "probability_engine": "legacy", "probability_mode": "legacy", "calibration_version": null, "calibration_source": null, "calibrated_mu": null, "calibrated_sigma": null}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 14:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 29.7, "raw_sigma": 1.09375, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 28.0, "peak_status": "in_window", "prob_snapshot": [{"v": 30, "p": 0.35}, {"v": 29, "p": 0.299}, {"v": 31, "p": 0.187}, {"v": 28, "p": 0.117}], "shadow_prob_snapshot": [{"v": 30, "p": 0.35}, {"v": 29, "p": 0.299}, {"v": 31, "p": 0.187}, {"v": 28, "p": 0.117}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 29.7, "calibrated_sigma": 1.09375}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 22:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": null, "raw_sigma": 0.46875, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 28.0, "peak_status": "past", "prob_snapshot": [{"v": 28, "p": 1.0}], "shadow_prob_snapshot": [], "probability_engine": "legacy", "probability_mode": "legacy", "calibration_version": null, "calibration_source": null, "calibrated_mu": null, "calibrated_sigma": null}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 16:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 23.0, "raw_sigma": 0.46875, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 23.0, "peak_status": "past", "prob_snapshot": [{"v": 23, "p": 0.834}, {"v": 24, "p": 0.166}], "shadow_prob_snapshot": [{"v": 23, "p": 0.834}, {"v": 24, "p": 0.166}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 23.0, "calibrated_sigma": 0.46875}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 14:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 29.85, "raw_sigma": 1.09375, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.5, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 29.5, "peak_status": "in_window", "prob_snapshot": [{"v": 30, "p": 0.565}, {"v": 31, "p": 0.341}, {"v": 32, "p": 0.094}], "shadow_prob_snapshot": [{"v": 30, "p": 0.565}, {"v": 31, "p": 0.341}, {"v": 32, "p": 0.094}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 29.85, "calibrated_sigma": 1.09375}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 14:30", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 29.7, "raw_sigma": 1.09375, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 28.0, "peak_status": "in_window", "prob_snapshot": [{"v": 30, "p": 0.35}, {"v": 29, "p": 0.299}, {"v": 31, "p": 0.187}, {"v": 28, "p": 0.117}], "shadow_prob_snapshot": [{"v": 30, "p": 0.35}, {"v": 29, "p": 0.299}, {"v": 31, "p": 0.187}, {"v": 28, "p": 0.117}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 29.7, "calibrated_sigma": 1.09375}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 10:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 29.7, "raw_sigma": 1.5625, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 26.0, "peak_status": "before", "prob_snapshot": [{"v": 30, "p": 0.254}, {"v": 29, "p": 0.234}, {"v": 31, "p": 0.185}, {"v": 28, "p": 0.146}], "shadow_prob_snapshot": [{"v": 30, "p": 0.254}, {"v": 29, "p": 0.234}, {"v": 31, "p": 0.185}, {"v": 28, "p": 0.146}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 29.7, "calibrated_sigma": 1.5625}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 17:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 23.0, "raw_sigma": 0.46875, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 23.0, "peak_status": "past", "prob_snapshot": [{"v": 23, "p": 0.834}, {"v": 24, "p": 0.166}], "shadow_prob_snapshot": [{"v": 23, "p": 0.834}, {"v": 24, "p": 0.166}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 23.0, "calibrated_sigma": 0.46875}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 14:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 33.3, "raw_sigma": 1.09375, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 33.0, "peak_status": "in_window", "prob_snapshot": [{"v": 33, "p": 0.456}, {"v": 34, "p": 0.391}, {"v": 35, "p": 0.153}], "shadow_prob_snapshot": [{"v": 33, "p": 0.456}, {"v": 34, "p": 0.391}, {"v": 35, "p": 0.153}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 33.3, "calibrated_sigma": 1.09375}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 17:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": null, "raw_sigma": 0.46875, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 28.0, "peak_status": "past", "prob_snapshot": [{"v": 28, "p": 1.0}], "shadow_prob_snapshot": [], "probability_engine": "legacy", "probability_mode": "legacy", "calibration_version": null, "calibration_source": null, "calibrated_mu": null, "calibrated_sigma": null}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 14:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 29.7, "raw_sigma": 1.09375, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 28.0, "peak_status": "in_window", "prob_snapshot": [{"v": 30, "p": 0.35}, {"v": 29, "p": 0.299}, {"v": 31, "p": 0.187}, {"v": 28, "p": 0.117}], "shadow_prob_snapshot": [{"v": 30, "p": 0.35}, {"v": 29, "p": 0.299}, {"v": 31, "p": 0.187}, {"v": 28, "p": 0.117}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 29.7, "calibrated_sigma": 1.09375}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 22:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": null, "raw_sigma": 0.46875, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 28.0, "peak_status": "past", "prob_snapshot": [{"v": 28, "p": 1.0}], "shadow_prob_snapshot": [], "probability_engine": "legacy", "probability_mode": "legacy", "calibration_version": null, "calibration_source": null, "calibrated_mu": null, "calibrated_sigma": null}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 16:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 23.0, "raw_sigma": 0.46875, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 23.0, "peak_status": "past", "prob_snapshot": [{"v": 23, "p": 0.834}, {"v": 24, "p": 0.166}], "shadow_prob_snapshot": [{"v": 23, "p": 0.834}, {"v": 24, "p": 0.166}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 23.0, "calibrated_sigma": 0.46875}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 14:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 29.85, "raw_sigma": 1.09375, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.5, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 29.5, "peak_status": "in_window", "prob_snapshot": [{"v": 30, "p": 0.565}, {"v": 31, "p": 0.341}, {"v": 32, "p": 0.094}], "shadow_prob_snapshot": [{"v": 30, "p": 0.565}, {"v": 31, "p": 0.341}, {"v": 32, "p": 0.094}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 29.85, "calibrated_sigma": 1.09375}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 14:30", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 29.7, "raw_sigma": 1.09375, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 28.0, "peak_status": "in_window", "prob_snapshot": [{"v": 30, "p": 0.35}, {"v": 29, "p": 0.299}, {"v": 31, "p": 0.187}, {"v": 28, "p": 0.117}], "shadow_prob_snapshot": [{"v": 30, "p": 0.35}, {"v": 29, "p": 0.299}, {"v": 31, "p": 0.187}, {"v": 28, "p": 0.117}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 29.7, "calibrated_sigma": 1.09375}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 10:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 29.7, "raw_sigma": 1.5625, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 26.0, "peak_status": "before", "prob_snapshot": [{"v": 30, "p": 0.254}, {"v": 29, "p": 0.234}, {"v": 31, "p": 0.185}, {"v": 28, "p": 0.146}], "shadow_prob_snapshot": [{"v": 30, "p": 0.254}, {"v": 29, "p": 0.234}, {"v": 31, "p": 0.185}, {"v": 28, "p": 0.146}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 29.7, "calibrated_sigma": 1.5625}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 17:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 23.0, "raw_sigma": 0.46875, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 23.0, "peak_status": "past", "prob_snapshot": [{"v": 23, "p": 0.834}, {"v": 24, "p": 0.166}], "shadow_prob_snapshot": [{"v": 23, "p": 0.834}, {"v": 24, "p": 0.166}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 23.0, "calibrated_sigma": 0.46875}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 14:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 33.3, "raw_sigma": 1.09375, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 33.0, "peak_status": "in_window", "prob_snapshot": [{"v": 33, "p": 0.456}, {"v": 34, "p": 0.391}, {"v": 35, "p": 0.153}], "shadow_prob_snapshot": [{"v": 33, "p": 0.456}, {"v": 34, "p": 0.391}, {"v": 35, "p": 0.153}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 33.3, "calibrated_sigma": 1.09375}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 17:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": null, "raw_sigma": 0.46875, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 28.0, "peak_status": "past", "prob_snapshot": [{"v": 28, "p": 1.0}], "shadow_prob_snapshot": [], "probability_engine": "legacy", "probability_mode": "legacy", "calibration_version": null, "calibration_source": null, "calibrated_mu": null, "calibrated_sigma": null}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 14:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 29.7, "raw_sigma": 1.09375, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 28.0, "peak_status": "in_window", "prob_snapshot": [{"v": 30, "p": 0.35}, {"v": 29, "p": 0.299}, {"v": 31, "p": 0.187}, {"v": 28, "p": 0.117}], "shadow_prob_snapshot": [{"v": 30, "p": 0.35}, {"v": 29, "p": 0.299}, {"v": 31, "p": 0.187}, {"v": 28, "p": 0.117}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 29.7, "calibrated_sigma": 1.09375}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 22:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": null, "raw_sigma": 0.46875, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 28.0, "peak_status": "past", "prob_snapshot": [{"v": 28, "p": 1.0}], "shadow_prob_snapshot": [], "probability_engine": "legacy", "probability_mode": "legacy", "calibration_version": null, "calibration_source": null, "calibrated_mu": null, "calibrated_sigma": null}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 16:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 23.0, "raw_sigma": 0.46875, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 23.0, "peak_status": "past", "prob_snapshot": [{"v": 23, "p": 0.834}, {"v": 24, "p": 0.166}], "shadow_prob_snapshot": [{"v": 23, "p": 0.834}, {"v": 24, "p": 0.166}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 23.0, "calibrated_sigma": 0.46875}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 14:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 29.85, "raw_sigma": 1.09375, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.5, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 29.5, "peak_status": "in_window", "prob_snapshot": [{"v": 30, "p": 0.565}, {"v": 31, "p": 0.341}, {"v": 32, "p": 0.094}], "shadow_prob_snapshot": [{"v": 30, "p": 0.565}, {"v": 31, "p": 0.341}, {"v": 32, "p": 0.094}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 29.85, "calibrated_sigma": 1.09375}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 14:30", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 29.7, "raw_sigma": 1.09375, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 28.0, "peak_status": "in_window", "prob_snapshot": [{"v": 30, "p": 0.35}, {"v": 29, "p": 0.299}, {"v": 31, "p": 0.187}, {"v": 28, "p": 0.117}], "shadow_prob_snapshot": [{"v": 30, "p": 0.35}, {"v": 29, "p": 0.299}, {"v": 31, "p": 0.187}, {"v": 28, "p": 0.117}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 29.7, "calibrated_sigma": 1.09375}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 10:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 29.7, "raw_sigma": 1.5625, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 26.0, "peak_status": "before", "prob_snapshot": [{"v": 30, "p": 0.254}, {"v": 29, "p": 0.234}, {"v": 31, "p": 0.185}, {"v": 28, "p": 0.146}], "shadow_prob_snapshot": [{"v": 30, "p": 0.254}, {"v": 29, "p": 0.234}, {"v": 31, "p": 0.185}, {"v": 28, "p": 0.146}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 29.7, "calibrated_sigma": 1.5625}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 17:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 23.0, "raw_sigma": 0.46875, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 23.0, "peak_status": "past", "prob_snapshot": [{"v": 23, "p": 0.834}, {"v": 24, "p": 0.166}], "shadow_prob_snapshot": [{"v": 23, "p": 0.834}, {"v": 24, "p": 0.166}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 23.0, "calibrated_sigma": 0.46875}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 14:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 33.3, "raw_sigma": 1.09375, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 33.0, "peak_status": "in_window", "prob_snapshot": [{"v": 33, "p": 0.456}, {"v": 34, "p": 0.391}, {"v": 35, "p": 0.153}], "shadow_prob_snapshot": [{"v": 33, "p": 0.456}, {"v": 34, "p": 0.391}, {"v": 35, "p": 0.153}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 33.3, "calibrated_sigma": 1.09375}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 17:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": null, "raw_sigma": 0.46875, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 28.0, "peak_status": "past", "prob_snapshot": [{"v": 28, "p": 1.0}], "shadow_prob_snapshot": [], "probability_engine": "legacy", "probability_mode": "legacy", "calibration_version": null, "calibration_source": null, "calibrated_mu": null, "calibrated_sigma": null}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 14:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 29.7, "raw_sigma": 1.09375, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 28.0, "peak_status": "in_window", "prob_snapshot": [{"v": 30, "p": 0.35}, {"v": 29, "p": 0.299}, {"v": 31, "p": 0.187}, {"v": 28, "p": 0.117}], "shadow_prob_snapshot": [{"v": 30, "p": 0.35}, {"v": 29, "p": 0.299}, {"v": 31, "p": 0.187}, {"v": 28, "p": 0.117}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 29.7, "calibrated_sigma": 1.09375}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 22:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": null, "raw_sigma": 0.46875, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 28.0, "peak_status": "past", "prob_snapshot": [{"v": 28, "p": 1.0}], "shadow_prob_snapshot": [], "probability_engine": "legacy", "probability_mode": "legacy", "calibration_version": null, "calibration_source": null, "calibrated_mu": null, "calibrated_sigma": null}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 16:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 23.0, "raw_sigma": 0.46875, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 23.0, "peak_status": "past", "prob_snapshot": [{"v": 23, "p": 0.834}, {"v": 24, "p": 0.166}], "shadow_prob_snapshot": [{"v": 23, "p": 0.834}, {"v": 24, "p": 0.166}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 23.0, "calibrated_sigma": 0.46875}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 14:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 29.85, "raw_sigma": 1.09375, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.5, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 29.5, "peak_status": "in_window", "prob_snapshot": [{"v": 30, "p": 0.565}, {"v": 31, "p": 0.341}, {"v": 32, "p": 0.094}], "shadow_prob_snapshot": [{"v": 30, "p": 0.565}, {"v": 31, "p": 0.341}, {"v": 32, "p": 0.094}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 29.85, "calibrated_sigma": 1.09375}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 14:30", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 29.7, "raw_sigma": 1.09375, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 28.0, "peak_status": "in_window", "prob_snapshot": [{"v": 30, "p": 0.35}, {"v": 29, "p": 0.299}, {"v": 31, "p": 0.187}, {"v": 28, "p": 0.117}], "shadow_prob_snapshot": [{"v": 30, "p": 0.35}, {"v": 29, "p": 0.299}, {"v": 31, "p": 0.187}, {"v": 28, "p": 0.117}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 29.7, "calibrated_sigma": 1.09375}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 10:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 29.7, "raw_sigma": 1.5625, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 26.0, "peak_status": "before", "prob_snapshot": [{"v": 30, "p": 0.254}, {"v": 29, "p": 0.234}, {"v": 31, "p": 0.185}, {"v": 28, "p": 0.146}], "shadow_prob_snapshot": [{"v": 30, "p": 0.254}, {"v": 29, "p": 0.234}, {"v": 31, "p": 0.185}, {"v": 28, "p": 0.146}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 29.7, "calibrated_sigma": 1.5625}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 17:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 23.0, "raw_sigma": 0.46875, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 23.0, "peak_status": "past", "prob_snapshot": [{"v": 23, "p": 0.834}, {"v": 24, "p": 0.166}], "shadow_prob_snapshot": [{"v": 23, "p": 0.834}, {"v": 24, "p": 0.166}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 23.0, "calibrated_sigma": 0.46875}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 14:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 33.3, "raw_sigma": 1.09375, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 33.0, "peak_status": "in_window", "prob_snapshot": [{"v": 33, "p": 0.456}, {"v": 34, "p": 0.391}, {"v": 35, "p": 0.153}], "shadow_prob_snapshot": [{"v": 33, "p": 0.456}, {"v": 34, "p": 0.391}, {"v": 35, "p": 0.153}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 33.3, "calibrated_sigma": 1.09375}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 17:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": null, "raw_sigma": 0.46875, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 28.0, "peak_status": "past", "prob_snapshot": [{"v": 28, "p": 1.0}], "shadow_prob_snapshot": [], "probability_engine": "legacy", "probability_mode": "legacy", "calibration_version": null, "calibration_source": null, "calibrated_mu": null, "calibrated_sigma": null}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 14:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 29.7, "raw_sigma": 1.09375, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 28.0, "peak_status": "in_window", "prob_snapshot": [{"v": 30, "p": 0.35}, {"v": 29, "p": 0.299}, {"v": 31, "p": 0.187}, {"v": 28, "p": 0.117}], "shadow_prob_snapshot": [{"v": 30, "p": 0.35}, {"v": 29, "p": 0.299}, {"v": 31, "p": 0.187}, {"v": 28, "p": 0.117}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 29.7, "calibrated_sigma": 1.09375}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 22:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": null, "raw_sigma": 0.46875, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 28.0, "peak_status": "past", "prob_snapshot": [{"v": 28, "p": 1.0}], "shadow_prob_snapshot": [], "probability_engine": "legacy", "probability_mode": "legacy", "calibration_version": null, "calibration_source": null, "calibrated_mu": null, "calibrated_sigma": null}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 16:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 23.0, "raw_sigma": 0.46875, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 23.0, "peak_status": "past", "prob_snapshot": [{"v": 23, "p": 0.834}, {"v": 24, "p": 0.166}], "shadow_prob_snapshot": [{"v": 23, "p": 0.834}, {"v": 24, "p": 0.166}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 23.0, "calibrated_sigma": 0.46875}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 14:00", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 29.85, "raw_sigma": 1.09375, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.5, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 29.5, "peak_status": "in_window", "prob_snapshot": [{"v": 30, "p": 0.565}, {"v": 31, "p": 0.341}, {"v": 32, "p": 0.094}], "shadow_prob_snapshot": [{"v": 30, "p": 0.565}, {"v": 31, "p": 0.341}, {"v": 32, "p": 0.094}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 29.85, "calibrated_sigma": 1.09375}
|
||||||
|
{"city": "test_city", "timestamp": "2026-03-04 14:30", "date": "2026-03-04", "temp_symbol": "°C", "raw_mu": 29.7, "raw_sigma": 1.09375, "deb_prediction": null, "ensemble": {"p10": 27.0, "median": 29.0, "p90": 31.0}, "multi_model": {"Open-Meteo": 30.0}, "max_so_far": 28.0, "peak_status": "in_window", "prob_snapshot": [{"v": 30, "p": 0.35}, {"v": 29, "p": 0.299}, {"v": 31, "p": 0.187}, {"v": 28, "p": 0.117}], "shadow_prob_snapshot": [{"v": 30, "p": 0.35}, {"v": 29, "p": 0.299}, {"v": 31, "p": 0.187}, {"v": 28, "p": 0.117}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260320132525", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 29.7, "calibrated_sigma": 1.09375}
|
||||||
+11
-2
@@ -6,8 +6,14 @@ services:
|
|||||||
env_file:
|
env_file:
|
||||||
- .env
|
- .env
|
||||||
volumes:
|
volumes:
|
||||||
- ./data:/app/data # 挂载数据目录,确保历史数据持久化
|
# Persist runtime data outside git workspace.
|
||||||
|
# Host path defaults to /var/lib/polyweather and can be overridden in .env.
|
||||||
|
- ${POLYWEATHER_RUNTIME_DATA_DIR:-/var/lib/polyweather}:/var/lib/polyweather
|
||||||
|
# Keep /app/data compatibility for existing cache/state defaults.
|
||||||
|
- ${POLYWEATHER_RUNTIME_DATA_DIR:-/var/lib/polyweather}:/app/data
|
||||||
- ./bot.log:/app/bot.log # 挂载日志文件
|
- ./bot.log:/app/bot.log # 挂载日志文件
|
||||||
|
# UID/GID are mainly useful on Linux hosts to avoid root-owned output files.
|
||||||
|
# Windows / macOS can usually keep the fallback values.
|
||||||
user: "${UID:-1000}:${GID:-1000}"
|
user: "${UID:-1000}:${GID:-1000}"
|
||||||
|
|
||||||
polyweather_web:
|
polyweather_web:
|
||||||
@@ -18,7 +24,10 @@ services:
|
|||||||
env_file:
|
env_file:
|
||||||
- .env
|
- .env
|
||||||
volumes:
|
volumes:
|
||||||
- ./data:/app/data
|
# Web service shares the same runtime data directory as bot/state tasks.
|
||||||
|
- ${POLYWEATHER_RUNTIME_DATA_DIR:-/var/lib/polyweather}:/var/lib/polyweather
|
||||||
|
- ${POLYWEATHER_RUNTIME_DATA_DIR:-/var/lib/polyweather}:/app/data
|
||||||
ports:
|
ports:
|
||||||
- "8000:8000"
|
- "8000:8000"
|
||||||
|
# UID/GID are mainly useful on Linux hosts to avoid root-owned output files.
|
||||||
user: "${UID:-1000}:${GID:-1000}"
|
user: "${UID:-1000}:${GID:-1000}"
|
||||||
|
|||||||
+130
-241
@@ -1,291 +1,180 @@
|
|||||||
# PolyWeather API 文档(v1.3)
|
# PolyWeather API 文档(v1.5.1)
|
||||||
|
|
||||||
本文档描述当前后端真实可用接口(`web/app.py`)。
|
最后更新:`2026-03-21`
|
||||||
前端一般通过 Next.js BFF 路由代理访问这些接口。
|
|
||||||
|
|
||||||
---
|
本文档描述当前对外可用 API 口径(`web/app.py` + `web/routes.py` + `frontend/app/api/*`)。
|
||||||
|
|
||||||
## 1. 基础信息
|
## 1. 基础信息
|
||||||
|
|
||||||
- 本地地址:`http://127.0.0.1:8000`
|
- 后端直连:`http://127.0.0.1:8000`
|
||||||
- 生产地址:`http://<vps-ip>:8000` 或你绑定的 HTTPS 域名
|
- 前端 BFF:`https://polyweather-pro.vercel.app/api/*`
|
||||||
- 返回格式:`application/json`
|
- 返回格式:`application/json`
|
||||||
- 缓存策略:
|
|
||||||
- 后端分析缓存:默认 5 分钟(Ankara 特殊口径 60 秒)
|
|
||||||
- 前端详情缓存:5 分钟 + revision 检查 + 后台静默刷新
|
|
||||||
- 前端 BFF HTTP 缓存(Vercel 层):
|
|
||||||
- `/api/cities`:`ETag` + `Cache-Control`(`s-maxage=300`)
|
|
||||||
- `/api/city/{name}/summary`:`ETag` + `Cache-Control`(`s-maxage=20`)
|
|
||||||
- `/api/history/{name}`:`ETag` + `Cache-Control`(`s-maxage=60`)
|
|
||||||
- `summary?force_refresh=true`:`Cache-Control: no-store`
|
|
||||||
- 手动刷新:`force_refresh=true` 强制绕过缓存
|
|
||||||
|
|
||||||
---
|
## 2. 请求链路
|
||||||
|
|
||||||
## 2. API 思维导图
|
|
||||||
|
|
||||||
```mermaid
|
```mermaid
|
||||||
flowchart TD
|
flowchart LR
|
||||||
A["PolyWeather API"]
|
FE["Browser / Dashboard"] --> BFF["Next.js Route Handlers (/api/*)"]
|
||||||
|
BFF --> API["FastAPI (/web/app.py + /web/routes.py)"]
|
||||||
subgraph E["接口分组"]
|
API --> WX["Weather Collector"]
|
||||||
E1["GET /api/cities"]
|
API --> ANA["DEB + Trend + Probability + Market Scan"]
|
||||||
E2["GET /api/city/{name}"]
|
API --> PAY["Payment Intent + Event + Confirm Loops"]
|
||||||
E3["GET /api/city/{name}/summary"]
|
API --> OBS["healthz / system status / metrics"]
|
||||||
E4["GET /api/city/{name}/detail"]
|
|
||||||
E5["GET /api/history/{name}"]
|
|
||||||
end
|
|
||||||
|
|
||||||
subgraph O["关键对象"]
|
|
||||||
O1["current"]
|
|
||||||
O2["forecast"]
|
|
||||||
O3["probabilities (mu + distribution)"]
|
|
||||||
O4["multi_model / multi_model_daily"]
|
|
||||||
O5["market_scan (P0 只读)"]
|
|
||||||
end
|
|
||||||
|
|
||||||
A --> E
|
|
||||||
A --> O
|
|
||||||
```
|
```
|
||||||
|
|
||||||
---
|
## 3. 天气分析接口
|
||||||
|
|
||||||
## 3. 接口总览
|
| 接口 | 方法 | 用途 |
|
||||||
|
| :-- | :-- | :-- |
|
||||||
|
| `/api/cities` | GET | 监控城市列表 |
|
||||||
|
| `/api/city/{name}` | GET | 城市主分析 |
|
||||||
|
| `/api/city/{name}/summary` | GET | 轻量摘要 |
|
||||||
|
| `/api/city/{name}/detail` | GET | 聚合详情(含 market_scan) |
|
||||||
|
| `/api/history/{name}` | GET | 历史对账 |
|
||||||
|
|
||||||
| 接口 | 方法 | 用途 |
|
### `GET /api/city/{name}/detail`
|
||||||
| :------------------------- | :--- | :------------------------------------ |
|
|
||||||
| `/api/cities` | GET | 城市清单与地图基础信息 |
|
|
||||||
| `/api/city/{name}` | GET | 城市主分析数据(侧栏/今日分析主来源) |
|
|
||||||
| `/api/city/{name}/summary` | GET | 轻量摘要(首屏预热/低开销更新) |
|
|
||||||
| `/api/city/{name}/detail` | GET | 聚合详情 + Polymarket P0 只读市场层 |
|
|
||||||
| `/api/history/{name}` | GET | 历史对账数据 |
|
|
||||||
|
|
||||||
---
|
|
||||||
|
|
||||||
## 4. 关键接口详解
|
|
||||||
|
|
||||||
### 4.1 `GET /api/cities`
|
|
||||||
|
|
||||||
返回监控城市列表(地图 Marker 与侧边栏基础数据)。
|
|
||||||
|
|
||||||
示例:
|
|
||||||
|
|
||||||
```json
|
|
||||||
{
|
|
||||||
"cities": [
|
|
||||||
{
|
|
||||||
"name": "ankara",
|
|
||||||
"display_name": "Ankara",
|
|
||||||
"lat": 39.9334,
|
|
||||||
"lon": 32.8597,
|
|
||||||
"risk_level": "medium",
|
|
||||||
"risk_emoji": "🟠",
|
|
||||||
"airport": "Esenboğa",
|
|
||||||
"icao": "LTAC",
|
|
||||||
"temp_unit": "celsius",
|
|
||||||
"is_major": true
|
|
||||||
}
|
|
||||||
]
|
|
||||||
}
|
|
||||||
```
|
|
||||||
|
|
||||||
### 4.2 `GET /api/city/{name}`
|
|
||||||
|
|
||||||
主数据接口,前端详情面板和今日分析最常用。
|
|
||||||
|
|
||||||
可选参数:
|
可选参数:
|
||||||
|
|
||||||
- `force_refresh=true|false`
|
- `force_refresh=true|false`
|
||||||
|
- `market_slug=<slug>`
|
||||||
|
- `target_date=YYYY-MM-DD`
|
||||||
|
|
||||||
核心字段:
|
重点字段:
|
||||||
|
|
||||||
- `name`, `display_name`, `local_date`, `local_time`, `temp_symbol`
|
- `market_scan.available`
|
||||||
- `risk`
|
- `market_scan.signal_label`
|
||||||
- `current`
|
- `market_scan.anchor_model / anchor_high / anchor_settlement`
|
||||||
- `forecast`
|
- `market_scan.yes_buy / no_buy`
|
||||||
- `mgm`, `mgm_nearby`
|
- `market_scan.primary_market.tradable`
|
||||||
- `multi_model`, `multi_model_daily`
|
|
||||||
- `deb`
|
|
||||||
- `ensemble`
|
|
||||||
- `probabilities`(`mu` + `distribution`)
|
|
||||||
- `trend`, `peak`
|
|
||||||
- `hourly`, `hourly_next_48h`
|
|
||||||
- `source_forecasts`(当前只保留 `weather_gov`)
|
|
||||||
- `market_scan`
|
|
||||||
- `updated_at`
|
|
||||||
|
|
||||||
说明:
|
## 4. 鉴权与账户接口
|
||||||
|
|
||||||
- `current.raw_metar` 是原始 METAR 报文。
|
| 接口 | 方法 | 用途 |
|
||||||
- Ankara 专项增强使用 MGM 站网,领先站固定 `17130`。
|
| :-- | :-- | :-- |
|
||||||
- Meteoblue 已彻底移除,不再出现在接口字段中。
|
| `/api/auth/me` | GET | 当前登录态、积分、订阅状态 |
|
||||||
|
|
||||||
### 4.3 `GET /api/city/{name}/summary`
|
`/api/auth/me` 关键字段:
|
||||||
|
|
||||||
轻量温度摘要,用于地图首屏预热和低成本刷新。
|
- `authenticated`
|
||||||
|
- `user_id`, `email`
|
||||||
|
- `points`, `weekly_points`, `weekly_rank`
|
||||||
|
- `subscription_active`, `subscription_plan_code`, `subscription_expires_at`
|
||||||
|
|
||||||
典型字段:
|
## 5. 支付接口
|
||||||
|
|
||||||
- `name`, `display_name`, `icao`
|
| 接口 | 方法 | 用途 |
|
||||||
- `local_time`, `temp_symbol`
|
| :-- | :-- | :-- |
|
||||||
- `current.temp`, `current.obs_time`
|
| `/api/payments/config` | GET | 支付配置、代币列表、套餐、积分抵扣规则 |
|
||||||
- `deb.prediction`
|
| `/api/payments/runtime` | GET | 支付运行态、RPC 状态、event loop 状态、最近审计事件 |
|
||||||
- `risk.level`, `risk.warning`
|
| `/api/payments/wallets` | GET | 当前用户已绑定钱包 |
|
||||||
- `updated_at`
|
| `/api/payments/wallets/challenge` | POST | 获取绑定签名 challenge |
|
||||||
|
| `/api/payments/wallets/verify` | POST | 提交签名并绑定钱包 |
|
||||||
|
| `/api/payments/intents` | POST | 创建支付意图(intent) |
|
||||||
|
| `/api/payments/intents/{intent_id}` | GET | 查询 intent 最新状态 |
|
||||||
|
| `/api/payments/intents/{intent_id}/submit` | POST | 提交交易哈希 |
|
||||||
|
| `/api/payments/intents/{intent_id}/confirm` | POST | 手动触发确认 |
|
||||||
|
| `/api/payments/reconcile-latest` | POST | 对当前登录用户最近一笔 intent 做恢复性确认 |
|
||||||
|
|
||||||
缓存说明:
|
### 支付状态建议
|
||||||
|
|
||||||
- 通过前端 BFF 访问时,默认返回 `ETag` 与可缓存 `Cache-Control`。
|
前端流程建议:
|
||||||
- 当 `force_refresh=true` 时,BFF 强制 `no-store`,用于人工排障与即时刷新。
|
|
||||||
|
|
||||||
### 4.4 `GET /api/city/{name}/detail`
|
1. `POST /intents`
|
||||||
|
2. 钱包发链上交易
|
||||||
|
3. `POST /submit`
|
||||||
|
4. `POST /confirm`
|
||||||
|
5. 若 pending,轮询 `GET /intents/{id}` 直到 `confirmed`
|
||||||
|
|
||||||
聚合视图接口,包含天气分析和市场只读层。
|
## 6. 运维与观测接口
|
||||||
|
|
||||||
可选参数:
|
| 接口 | 方法 | 用途 |
|
||||||
|
| :-- | :-- | :-- |
|
||||||
|
| `/healthz` | GET | 基础健康检查 |
|
||||||
|
| `/api/system/status` | GET | 系统状态、功能开关、rollout 状态、轻量指标摘要 |
|
||||||
|
| `/metrics` | GET | Prometheus 风格指标导出 |
|
||||||
|
|
||||||
- `force_refresh=true|false`
|
`/api/system/status` 当前会包含:
|
||||||
- `market_slug=<slug>`(调试/定向市场匹配)
|
|
||||||
|
|
||||||
关键结构:
|
- `features.state_storage_mode`
|
||||||
|
- `probability.decision`
|
||||||
|
- `probability.ready_for_primary`
|
||||||
|
- `metrics`
|
||||||
|
|
||||||
- `overview`
|
`/metrics` 当前会导出:
|
||||||
- `official`
|
|
||||||
- `timeseries`
|
|
||||||
- `models`
|
|
||||||
- `probabilities`
|
|
||||||
- `market_scan`
|
|
||||||
- `risk`
|
|
||||||
- `ai_analysis`
|
|
||||||
|
|
||||||
`market_scan`(P0 只读)重点字段:
|
- `polyweather_http_requests_total`
|
||||||
|
- `polyweather_http_request_duration_ms_*`
|
||||||
|
- `polyweather_source_requests_total`
|
||||||
|
- `polyweather_source_request_duration_ms_*`
|
||||||
|
|
||||||
- `primary_market`, `selected_condition_id`, `selected_slug`
|
## 7. Ops 管理接口
|
||||||
- `yes_token`, `no_token`
|
|
||||||
- `yes_buy`, `yes_sell`, `no_buy`, `no_sell`
|
|
||||||
- `market_price`, `model_probability`, `edge_percent`
|
|
||||||
- `temperature_bucket`
|
|
||||||
- `top_buckets`(前端展示前会再去重)
|
|
||||||
- `signal_label`(`BUY YES` / `BUY NO` / `MONITOR`)
|
|
||||||
- `websocket.asset_ids`, `websocket.condition_ids`(订阅标识,不涉及下单)
|
|
||||||
- `primary_market.tradable`(是否可交易)
|
|
||||||
- `primary_market.tradable_reason`(不可交易原因)
|
|
||||||
- `primary_market.ended_at_utc`(UTC 结束时刻)
|
|
||||||
- `primary_market.accepting_orders`(是否仍接收订单)
|
|
||||||
|
|
||||||
注意:
|
这些接口主要给 `/ops` 管理后台使用,默认要求:
|
||||||
|
|
||||||
- 后端已做温度桶去重与方向优先(优先与主市场同方向的 `or higher`/`or lower` 桶)。
|
- 已登录
|
||||||
- 前端还有二次去重兜底,避免重复温度桶刷屏。
|
- 当前邮箱位于 `POLYWEATHER_OPS_ADMIN_EMAILS`
|
||||||
- 错价雷达推送前会二次校验交易状态,若市场已不可交易(`closed` / inactive / 不接单 / 过 `endDate`)会跳过。
|
|
||||||
|
|
||||||
### 4.5 `GET /api/history/{name}`
|
| 接口 | 方法 | 用途 |
|
||||||
|
| :-- | :-- | :-- |
|
||||||
|
| `/api/ops/users` | GET | 按 Telegram ID / 用户名 / 邮箱查询用户 |
|
||||||
|
| `/api/ops/leaderboard/weekly` | GET | 本周积分榜 |
|
||||||
|
| `/api/ops/memberships` | GET | 当前有效会员(已按用户去重,保留最晚到期) |
|
||||||
|
| `/api/ops/users/grant-points` | POST | 手动补分 |
|
||||||
|
| `/api/ops/payments/incidents` | GET | 支付异常单(仅 `payment_intent_failed`) |
|
||||||
|
| `/api/ops/payments/incidents/{event_id}/resolve` | POST | 标记支付异常单已处理 |
|
||||||
|
|
||||||
历史对账数据来源。
|
`/api/ops/payments/incidents` 当前支持:
|
||||||
|
|
||||||
示例:
|
- `reason=<receiver_mismatch|sender_mismatch|event_mismatch|tx_reverted>`
|
||||||
|
- 默认不返回已标记处理的记录
|
||||||
|
- 重点用于排查“已付款未开通”“打到旧收款地址”等事故
|
||||||
|
## 8. 缓存策略(当前)
|
||||||
|
|
||||||
```json
|
- `cities` / `summary` / `history`:BFF 支持 `ETag + 304`
|
||||||
{
|
- `summary?force_refresh=true`:`Cache-Control: no-store`
|
||||||
"history": [
|
- 详情接口与支付接口:`no-store`
|
||||||
{
|
|
||||||
"date": "2026-03-07",
|
|
||||||
"actual": 7.0,
|
|
||||||
"deb": 6.5,
|
|
||||||
"mu": 7.2,
|
|
||||||
"mgm": 8.0
|
|
||||||
}
|
|
||||||
]
|
|
||||||
}
|
|
||||||
```
|
|
||||||
|
|
||||||
---
|
## 9. 调试示例
|
||||||
|
|
||||||
## 5. 请求链路(以 `/api/city/{name}` 为例)
|
### 查询未来日期 market_scan
|
||||||
|
|
||||||
```mermaid
|
|
||||||
sequenceDiagram
|
|
||||||
participant FE as Frontend
|
|
||||||
participant API as FastAPI
|
|
||||||
participant WX as Weather Collector
|
|
||||||
participant PM as Polymarket RO Layer
|
|
||||||
|
|
||||||
FE->>API: GET /api/city/{name}?force_refresh=...
|
|
||||||
API->>WX: fetch_all_sources(city)
|
|
||||||
WX-->>API: METAR / MGM / Open-Meteo / weather.gov / Multi-model
|
|
||||||
API->>API: DEB + trend + probability
|
|
||||||
API->>PM: build_market_scan(...)
|
|
||||||
PM-->>API: market_scan (read-only)
|
|
||||||
API-->>FE: merged city payload
|
|
||||||
```
|
|
||||||
|
|
||||||
---
|
|
||||||
|
|
||||||
## 6. 数据口径
|
|
||||||
|
|
||||||
### 6.1 主观测
|
|
||||||
|
|
||||||
- Aviation Weather / METAR 是全局主观测源。
|
|
||||||
- Ankara:结算主站仍是 `LTAC`,领先信号强化使用 MGM(`17130`)。
|
|
||||||
|
|
||||||
### 6.2 预测源
|
|
||||||
|
|
||||||
- Open-Meteo
|
|
||||||
- weather.gov(美国城市)
|
|
||||||
- 多模型:ECMWF / GFS / ICON / GEM / JMA
|
|
||||||
|
|
||||||
### 6.3 概率口径
|
|
||||||
|
|
||||||
- `mu`:动态分布中心,不是固定结算值。
|
|
||||||
- `distribution`:按温度桶输出概率分布,面向结算决策而非通用天气展示。
|
|
||||||
|
|
||||||
---
|
|
||||||
|
|
||||||
## 7. 常见问题
|
|
||||||
|
|
||||||
### 7.1 接口 500
|
|
||||||
|
|
||||||
- 先检查容器是否启动:`docker compose ps`
|
|
||||||
- 查看日志:`docker compose logs -f polyweather_web`
|
|
||||||
|
|
||||||
### 7.2 METAR 看起来“延迟”
|
|
||||||
|
|
||||||
优先核对:
|
|
||||||
|
|
||||||
- `current.obs_time`
|
|
||||||
- `current.report_time`
|
|
||||||
- `current.receipt_time`
|
|
||||||
|
|
||||||
通常是上游发布节奏,不一定是本地轮询问题。
|
|
||||||
|
|
||||||
### 7.3 前端仍显示旧内容
|
|
||||||
|
|
||||||
- 确认 Vercel 已部署最新构建
|
|
||||||
- 浏览器强刷(`Ctrl+F5`)
|
|
||||||
- 检查是否命中前端 5 分钟 TTL
|
|
||||||
|
|
||||||
### 7.4 为什么 VPS `:8000` 看不到 `ETag`?
|
|
||||||
|
|
||||||
- `:8000` 是 FastAPI 后端直连口径,主要负责分析与数据聚合。
|
|
||||||
- `ETag/304` 主要由前端 BFF 路由返回(Vercel 域名下的 `/api/*`)。
|
|
||||||
- 验证缓存头请用前端域名,而不是后端直连 IP。
|
|
||||||
|
|
||||||
---
|
|
||||||
|
|
||||||
## 8. 验收脚本
|
|
||||||
|
|
||||||
项目内置缓存验收脚本:
|
|
||||||
|
|
||||||
```bash
|
```bash
|
||||||
./scripts/validate_frontend_cache.sh "https://polyweather-pro.vercel.app"
|
curl -s "http://127.0.0.1:8000/api/city/ankara/detail?force_refresh=true&target_date=2026-03-12"
|
||||||
```
|
```
|
||||||
|
|
||||||
输出 `Result: PASS` 代表以下链路均正常:
|
### 校验支付配置
|
||||||
|
|
||||||
- `ETag` 返回
|
```bash
|
||||||
- `If-None-Match -> 304`
|
curl -s http://127.0.0.1:8000/api/payments/config | python3 -m json.tool
|
||||||
- `force_refresh=true -> no-store`
|
```
|
||||||
|
|
||||||
---
|
### 查看支付运行态
|
||||||
|
|
||||||
最后更新:`2026-03-12`
|
```bash
|
||||||
|
curl -s http://127.0.0.1:8000/api/payments/runtime | python3 -m json.tool
|
||||||
|
```
|
||||||
|
|
||||||
|
### 查看支付异常单
|
||||||
|
|
||||||
|
```bash
|
||||||
|
curl -s "http://127.0.0.1:8000/api/ops/payments/incidents?reason=receiver_mismatch" | python3 -m json.tool
|
||||||
|
```
|
||||||
|
|
||||||
|
### 查看系统状态
|
||||||
|
|
||||||
|
```bash
|
||||||
|
curl -s http://127.0.0.1:8000/api/system/status | python3 -m json.tool
|
||||||
|
```
|
||||||
|
|
||||||
|
### 观察支付自动补单
|
||||||
|
|
||||||
|
```bash
|
||||||
|
docker compose logs -f polyweather | egrep "payment event loop started|payment confirm loop started|payment auto-confirmed"
|
||||||
|
```
|
||||||
|
|
||||||
|
## 10. 开源口径说明
|
||||||
|
|
||||||
|
对外公开文档仅覆盖通用 API 契约。生产商业策略参数不在公开文档披露。
|
||||||
|
|
||||||
|
详见:[Open-Core 与商用边界](OPEN_CORE_POLICY.md)
|
||||||
|
|||||||
+46
-100
@@ -1,120 +1,66 @@
|
|||||||
# Commercialization Roadmap
|
# 商业化说明(Production)
|
||||||
|
|
||||||
Target: make PolyWeather a sustainable paid weather-intelligence product.
|
最后更新:`2026-03-14`
|
||||||
|
|
||||||
---
|
## 1. 定位
|
||||||
|
|
||||||
## 1. Product Positioning
|
PolyWeather 是面向温度结算场景的气象决策层,不是通用天气应用。
|
||||||
|
|
||||||
PolyWeather is not a generic weather app.
|
核心价值:
|
||||||
It is a decision-support layer for temperature-settlement markets:
|
|
||||||
|
|
||||||
- observation-first (METAR/MGM),
|
- 观测优先(METAR/MGM)
|
||||||
- settlement-aware probability modeling (DEB + mu/buckets),
|
- 结算导向(DEB + 概率桶)
|
||||||
- market mapping (Polymarket read-only) for actionable edge detection.
|
- 市场映射(行情对照 + 错价雷达)
|
||||||
|
|
||||||
---
|
## 2. 当前收费能力状态
|
||||||
|
|
||||||
## 2. Business Overview Diagram
|
| 能力 | 状态 | 备注 |
|
||||||
|
| :-- | :-- | :-- |
|
||||||
|
| 登录注册(Google + 邮箱) | 已上线 | Supabase 鉴权 |
|
||||||
|
| 订阅套餐(Pro 月付) | 已上线 | `5 USDC / 30天` |
|
||||||
|
| 积分抵扣 | 已上线 | `500分=1U`,最多 `3U` |
|
||||||
|
| 合约支付 | 已上线 | Polygon,USDC + USDC.e |
|
||||||
|
| 支付自动确认 | 已上线 | Event Loop + Confirm Loop |
|
||||||
|
| 钱包绑定 | 已上线 | 浏览器钱包 + WalletConnect |
|
||||||
|
| 私有频道推送 | 已上线 | 可拆分业务频道 |
|
||||||
|
|
||||||
```mermaid
|
## 3. 权限模型(当前)
|
||||||
flowchart TD
|
|
||||||
A["PolyWeather Monetization"]
|
|
||||||
|
|
||||||
subgraph P["Product"]
|
- 游客:可查看基础看板与简版信息。
|
||||||
P1["Telegram Signal Channel"]
|
- 登录用户:账户中心、钱包绑定、积分同步。
|
||||||
P2["Web Dashboard"]
|
- Pro 用户:
|
||||||
P3["VIP Bundle"]
|
- 今日日内深度分析(含高温时段)
|
||||||
end
|
- 历史对账 + 未来日期分析
|
||||||
|
- 全平台智能气象推送
|
||||||
|
|
||||||
subgraph R["Pricing"]
|
## 4. 收费与积分规则(默认)
|
||||||
R1["Entry 1 USD"]
|
|
||||||
R2["Dashboard 5 USD"]
|
|
||||||
R3["Bundle 5.5 USD"]
|
|
||||||
end
|
|
||||||
|
|
||||||
subgraph AC["Access Control"]
|
- 套餐:`pro_monthly`(5 USDC / 30 天)
|
||||||
AC1["Manual activation (P1)"]
|
- 抵扣:500 积分抵 1 USDC,最高抵 3 USDC
|
||||||
AC2["Wallet/USDC detection (P2)"]
|
- 实付下限:2 USDC(当积分满额时)
|
||||||
AC3["Entitlement middleware"]
|
|
||||||
end
|
|
||||||
|
|
||||||
subgraph G["Growth"]
|
> 说明:具体运营策略可按阶段调整,生产参数建议放私有仓库。
|
||||||
G1["Accuracy reports"]
|
|
||||||
G2["Retention analytics"]
|
|
||||||
G3["User preference center"]
|
|
||||||
end
|
|
||||||
|
|
||||||
A --> P
|
## 5. 建议的开源边界
|
||||||
A --> R
|
|
||||||
A --> AC
|
|
||||||
A --> G
|
|
||||||
```
|
|
||||||
|
|
||||||
---
|
请按 Open-Core 执行:
|
||||||
|
|
||||||
## 3. Packaging and Pricing
|
- 开源:基础能力与通用支付流程。
|
||||||
|
- 私有:商业风控、营销策略、关键运营参数、内部审计策略。
|
||||||
|
|
||||||
| Tier | Price | Value |
|
详见:[Open-Core 与商用边界](OPEN_CORE_POLICY.md)
|
||||||
| :--------------- | :----------- | :---------------------------------------- |
|
|
||||||
| Telegram Channel | $1 / month | Low-noise proactive signal feed |
|
|
||||||
| Web Dashboard | $5 / month | Full multi-model context + reconciliation |
|
|
||||||
| VIP Bundle | $5.5 / month | Dashboard + signal stream |
|
|
||||||
|
|
||||||
Payment direction:
|
## 6. 上线检查清单(收费前)
|
||||||
|
|
||||||
- Currency: Polygon USDC
|
1. 支付链路:创建 intent、提交 tx、确认入账、订阅开通全链路可回放。
|
||||||
- Phasing: manual activation first, then automated entitlement sync
|
2. 权限链路:前端/后端/Bot 对 Pro 权限判定一致。
|
||||||
|
3. 审计能力:支付日志、订阅变更、异常重试可追溯。
|
||||||
|
4. 通知策略:支付成功私发、群内通知降噪。
|
||||||
|
5. 安全边界:敏感配置不进仓库。
|
||||||
|
|
||||||
---
|
## 7. 后续路线
|
||||||
|
|
||||||
## 4. Execution Phases
|
- 支持更多链和稳定币。
|
||||||
|
- 引入退款与工单后台。
|
||||||
```mermaid
|
- 建立周/月留存与付费转化看板。
|
||||||
graph LR
|
- 打通渠道分销与邀请码返利系统。
|
||||||
P1[Phase 1 Manual Beta] --> P2[Phase 2 Payment Automation]
|
|
||||||
P2 --> P3[Phase 3 Growth and B2B]
|
|
||||||
```
|
|
||||||
|
|
||||||
### Phase 1: Manual Beta
|
|
||||||
|
|
||||||
- Keep paid channel small, optimize signal quality first.
|
|
||||||
- Manual payment confirmation + manual entitlement grant.
|
|
||||||
- Invite-gated dashboard while access control hardens.
|
|
||||||
|
|
||||||
### Phase 2: Payment Automation
|
|
||||||
|
|
||||||
- Detect wallet payment events (USDC).
|
|
||||||
- Auto-issue/refresh entitlement.
|
|
||||||
- Enforce route-level and API-level access guards.
|
|
||||||
|
|
||||||
### Phase 3: Growth and Expansion
|
|
||||||
|
|
||||||
- Self-serve billing and subscription panel.
|
|
||||||
- Operator analytics and feature usage telemetry.
|
|
||||||
- Optional B2B API package for quant teams.
|
|
||||||
|
|
||||||
---
|
|
||||||
|
|
||||||
## 5. Technical Dependencies for Revenue
|
|
||||||
|
|
||||||
| Dependency | Why it matters |
|
|
||||||
| :------------------- | :--------------------------------------------------------------- |
|
|
||||||
| Entitlement guard | Prevents unpaid dashboard/API access |
|
|
||||||
| Subscriber store | Persistent paid user state |
|
|
||||||
| Audit trail | Explains why each alert fired |
|
|
||||||
| Observability | Detects degradation before churn |
|
|
||||||
| Frontend performance | Impacts conversion and retention (Speed Insights now integrated) |
|
|
||||||
|
|
||||||
---
|
|
||||||
|
|
||||||
## 6. Immediate Commercial Priorities
|
|
||||||
|
|
||||||
1. Finish robust entitlement middleware in frontend and backend.
|
|
||||||
2. Persist subscriber/payment state in managed DB.
|
|
||||||
3. Publish transparent monthly accuracy and signal-quality reports.
|
|
||||||
4. Add support playbooks for false-alert and stale-data incidents.
|
|
||||||
|
|
||||||
---
|
|
||||||
|
|
||||||
Last Updated: `2026-03-11`
|
|
||||||
|
|||||||
@@ -0,0 +1,279 @@
|
|||||||
|
# 配置与密钥管理(中文)
|
||||||
|
|
||||||
|
## 1. 目标
|
||||||
|
|
||||||
|
PolyWeather 的环境变量很多,但不是所有变量都属于同一层级。
|
||||||
|
|
||||||
|
当前推荐做法是把配置拆成三类:
|
||||||
|
|
||||||
|
1. 可复现基础配置
|
||||||
|
放在:[.env.example](/E:/web/PolyWeather/.env.example)
|
||||||
|
|
||||||
|
2. 敏感密钥模板
|
||||||
|
放在:[.env.secrets.example](/E:/web/PolyWeather/.env.secrets.example)
|
||||||
|
|
||||||
|
3. 平台侧真实密钥
|
||||||
|
放在:
|
||||||
|
- VPS / Docker `.env`
|
||||||
|
- Vercel Environment Variables
|
||||||
|
- GitHub Secrets(如需要)
|
||||||
|
|
||||||
|
## 2. 为什么要拆
|
||||||
|
|
||||||
|
如果把所有变量都平铺在一个 `.env` 里,会有三个问题:
|
||||||
|
|
||||||
|
1. 新环境很难知道“最小启动到底需要哪些变量”
|
||||||
|
2. 敏感密钥和普通开关混在一起,容易误泄露
|
||||||
|
3. 调优参数太多时,团队很难区分“必须填”和“保持默认即可”
|
||||||
|
|
||||||
|
所以正确做法不是“减少变量数量”,而是:
|
||||||
|
|
||||||
|
- 保留变量能力
|
||||||
|
- 按职责分层
|
||||||
|
- 给出最小启动路径
|
||||||
|
|
||||||
|
## 3. 文件职责
|
||||||
|
|
||||||
|
### 3.1 根 `.env.example`
|
||||||
|
|
||||||
|
文件:
|
||||||
|
|
||||||
|
- [.env.example](/E:/web/PolyWeather/.env.example)
|
||||||
|
|
||||||
|
用途:
|
||||||
|
|
||||||
|
- 后端 / Bot / Docker 的可复现配置模板
|
||||||
|
- 只放变量名、默认值、开关与非敏感示例
|
||||||
|
|
||||||
|
### 3.2 根 `.env.secrets.example`
|
||||||
|
|
||||||
|
文件:
|
||||||
|
|
||||||
|
- [.env.secrets.example](/E:/web/PolyWeather/.env.secrets.example)
|
||||||
|
|
||||||
|
用途:
|
||||||
|
|
||||||
|
- 只列敏感项
|
||||||
|
- 帮助运维明确哪些值必须从密钥系统注入
|
||||||
|
|
||||||
|
### 3.3 前端 `.env.example`
|
||||||
|
|
||||||
|
文件:
|
||||||
|
|
||||||
|
- [frontend/.env.example](/E:/web/PolyWeather/frontend/.env.example)
|
||||||
|
|
||||||
|
用途:
|
||||||
|
|
||||||
|
- 前端本地开发与 Vercel 环境变量模板
|
||||||
|
|
||||||
|
## 4. 配置分级
|
||||||
|
|
||||||
|
### 4.1 L1:最小启动必需项
|
||||||
|
|
||||||
|
这是“服务能跑起来”的最小集合。
|
||||||
|
|
||||||
|
后端 / Bot:
|
||||||
|
|
||||||
|
- `TELEGRAM_BOT_TOKEN`
|
||||||
|
- `TELEGRAM_CHAT_ID`
|
||||||
|
- `POLYWEATHER_RUNTIME_DATA_DIR`
|
||||||
|
- `POLYWEATHER_DB_PATH`
|
||||||
|
- `POLYWEATHER_STATE_STORAGE_MODE`
|
||||||
|
|
||||||
|
前端:
|
||||||
|
|
||||||
|
- `POLYWEATHER_API_BASE_URL`
|
||||||
|
|
||||||
|
如果启用登录:
|
||||||
|
|
||||||
|
- `NEXT_PUBLIC_SUPABASE_URL`
|
||||||
|
- `NEXT_PUBLIC_SUPABASE_ANON_KEY`
|
||||||
|
- `SUPABASE_URL`
|
||||||
|
- `SUPABASE_ANON_KEY`
|
||||||
|
- `SUPABASE_SERVICE_ROLE_KEY`
|
||||||
|
|
||||||
|
### 4.2 L2:功能开关
|
||||||
|
|
||||||
|
这些变量一般不敏感,但会决定功能是否启用。
|
||||||
|
|
||||||
|
例如:
|
||||||
|
|
||||||
|
- `POLYWEATHER_AUTH_ENABLED`
|
||||||
|
- `POLYWEATHER_AUTH_REQUIRED`
|
||||||
|
- `POLYWEATHER_AUTH_REQUIRE_SUBSCRIPTION`
|
||||||
|
- `POLYWEATHER_OPS_ADMIN_EMAILS`
|
||||||
|
- `POLYWEATHER_STATE_STORAGE_MODE`
|
||||||
|
- `POLYWEATHER_PAYMENT_ENABLED`
|
||||||
|
- `POLYMARKET_MARKET_SCAN_ENABLED`
|
||||||
|
- `POLYGON_WALLET_WATCH_ENABLED`
|
||||||
|
- `POLYMARKET_WALLET_ACTIVITY_ENABLED`
|
||||||
|
|
||||||
|
### 4.3 L3:运行调优项
|
||||||
|
|
||||||
|
这些一般不需要在第一天就改。
|
||||||
|
|
||||||
|
例如:
|
||||||
|
|
||||||
|
- 各类 `*_TTL_SEC`
|
||||||
|
- 各类 `*_TIMEOUT_SEC`
|
||||||
|
- 各类 `*_COOLDOWN_SEC`
|
||||||
|
- 各类 `*_INTERVAL_SEC`
|
||||||
|
- `POLYWEATHER_PAYMENT_RPC_URLS`
|
||||||
|
|
||||||
|
策略:
|
||||||
|
|
||||||
|
- 先用默认值
|
||||||
|
- 出现性能或运维问题时再调
|
||||||
|
|
||||||
|
### 4.4 L4:敏感项
|
||||||
|
|
||||||
|
这些变量不应写进公开文档截图,也不应提交到仓库。
|
||||||
|
|
||||||
|
例如:
|
||||||
|
|
||||||
|
- `TELEGRAM_BOT_TOKEN`
|
||||||
|
- `SUPABASE_SERVICE_ROLE_KEY`
|
||||||
|
- `POLYWEATHER_BACKEND_ENTITLEMENT_TOKEN`
|
||||||
|
- `POLYWEATHER_DASHBOARD_ACCESS_TOKEN`
|
||||||
|
- `METEOBLUE_API_KEY`
|
||||||
|
- `NEXT_PUBLIC_WALLETCONNECT_PROJECT_ID`
|
||||||
|
- `POLYMARKET_SECRET_KEY`
|
||||||
|
|
||||||
|
## 5. 推荐部署矩阵
|
||||||
|
|
||||||
|
### 5.1 VPS / Docker(后端 + Bot)
|
||||||
|
|
||||||
|
建议放这些:
|
||||||
|
|
||||||
|
- 根 `.env` 的后端项
|
||||||
|
- 所有 secrets
|
||||||
|
- Bot / 支付 / watcher 配置
|
||||||
|
|
||||||
|
### 5.2 Vercel(前端)
|
||||||
|
|
||||||
|
建议只放前端真正需要的变量:
|
||||||
|
|
||||||
|
- `POLYWEATHER_API_BASE_URL`
|
||||||
|
- `NEXT_PUBLIC_SUPABASE_URL`
|
||||||
|
- `NEXT_PUBLIC_SUPABASE_ANON_KEY`
|
||||||
|
- `POLYWEATHER_AUTH_ENABLED`
|
||||||
|
- `POLYWEATHER_AUTH_REQUIRED`
|
||||||
|
- `POLYWEATHER_DASHBOARD_ACCESS_TOKEN`
|
||||||
|
- `POLYWEATHER_BACKEND_ENTITLEMENT_TOKEN`
|
||||||
|
- `NEXT_PUBLIC_WALLETCONNECT_PROJECT_ID`
|
||||||
|
- `NEXT_PUBLIC_WALLETCONNECT_POLYGON_RPC_URL`
|
||||||
|
|
||||||
|
说明:
|
||||||
|
|
||||||
|
- `/ops` 页面本身部署在 Vercel 前端下,但管理员写接口权限仍由后端 `POLYWEATHER_OPS_ADMIN_EMAILS` 控制。
|
||||||
|
- 因此,Vercel 侧不需要配置管理员邮箱白名单;管理员判定发生在 VPS / FastAPI 后端。
|
||||||
|
|
||||||
|
不要把后端专用密钥全搬进 Vercel。
|
||||||
|
|
||||||
|
### 5.3 GitHub Actions
|
||||||
|
|
||||||
|
当前 CI 不需要大规模 secrets。
|
||||||
|
|
||||||
|
如果未来要做自动部署,再考虑:
|
||||||
|
|
||||||
|
- `VERCEL_TOKEN`
|
||||||
|
- `VERCEL_ORG_ID`
|
||||||
|
- `VERCEL_PROJECT_ID`
|
||||||
|
|
||||||
|
## 6. 最小部署示例
|
||||||
|
|
||||||
|
### 6.1 前端最小变量
|
||||||
|
|
||||||
|
```env
|
||||||
|
POLYWEATHER_API_BASE_URL=https://your-backend.example.com
|
||||||
|
NEXT_PUBLIC_SUPABASE_URL=https://your-project.supabase.co
|
||||||
|
NEXT_PUBLIC_SUPABASE_ANON_KEY=your_anon_key
|
||||||
|
POLYWEATHER_AUTH_ENABLED=true
|
||||||
|
POLYWEATHER_AUTH_REQUIRED=true
|
||||||
|
```
|
||||||
|
|
||||||
|
### 6.2 后端最小变量
|
||||||
|
|
||||||
|
```env
|
||||||
|
TELEGRAM_BOT_TOKEN=...
|
||||||
|
TELEGRAM_CHAT_ID=...
|
||||||
|
POLYWEATHER_RUNTIME_DATA_DIR=/var/lib/polyweather
|
||||||
|
POLYWEATHER_DB_PATH=/var/lib/polyweather/polyweather.db
|
||||||
|
POLYWEATHER_STATE_STORAGE_MODE=dual
|
||||||
|
UID=1000
|
||||||
|
GID=1000
|
||||||
|
POLYWEATHER_AUTH_ENABLED=true
|
||||||
|
POLYWEATHER_AUTH_REQUIRED=false
|
||||||
|
POLYWEATHER_OPS_ADMIN_EMAILS=yhrsc30@gmail.com
|
||||||
|
SUPABASE_URL=https://your-project.supabase.co
|
||||||
|
SUPABASE_ANON_KEY=...
|
||||||
|
SUPABASE_SERVICE_ROLE_KEY=...
|
||||||
|
POLYWEATHER_BACKEND_ENTITLEMENT_TOKEN=...
|
||||||
|
```
|
||||||
|
|
||||||
|
说明:
|
||||||
|
|
||||||
|
- `UID` / `GID` 主要给 Linux Docker 主机用,避免容器把运行文件写成 root 所有。
|
||||||
|
- Windows / macOS 一般可以直接保留默认值。
|
||||||
|
- `POLYWEATHER_RUNTIME_DATA_DIR` 建议放在仓库外,例如 `/var/lib/polyweather`。
|
||||||
|
- `docker-compose.yml` 会把这个目录同时挂载到容器内的 `/var/lib/polyweather` 和 `/app/data`,兼容现有缓存与 SQLite 路径。
|
||||||
|
- `POLYWEATHER_STATE_STORAGE_MODE` 当前推荐先用 `dual`,验证后再切 `sqlite`。
|
||||||
|
- `POLYWEATHER_PAYMENT_RPC_URLS` 支持逗号分隔多个 RPC;如果暂时只用单 RPC,也可以继续只配 `POLYWEATHER_PAYMENT_RPC_URL`。
|
||||||
|
|
||||||
|
## 7. 当前建议的运维规则
|
||||||
|
|
||||||
|
### 7.1 仓库中允许存在
|
||||||
|
|
||||||
|
- `.env.example`
|
||||||
|
- `.env.secrets.example`
|
||||||
|
- `frontend/.env.example`
|
||||||
|
|
||||||
|
### 7.2 仓库中不应提交
|
||||||
|
|
||||||
|
- `.env`
|
||||||
|
- `.env.local`
|
||||||
|
- 任何带真实 token / key 的配置文件
|
||||||
|
|
||||||
|
### 7.3 截图与共享规则
|
||||||
|
|
||||||
|
以下值一旦出现在截图或聊天里,建议视为泄露并轮换:
|
||||||
|
|
||||||
|
- `SUPABASE_SERVICE_ROLE_KEY`
|
||||||
|
- `POLYWEATHER_BACKEND_ENTITLEMENT_TOKEN`
|
||||||
|
- `TELEGRAM_BOT_TOKEN`
|
||||||
|
- 第三方私有 API Key
|
||||||
|
|
||||||
|
## 8. 如何收口配置复杂度
|
||||||
|
|
||||||
|
如果你觉得变量仍然太多,正确的做法不是一刀删掉,而是:
|
||||||
|
|
||||||
|
1. 把“功能开关”和“调优参数”分开看
|
||||||
|
2. 保持 `.env.example` 中:
|
||||||
|
- 最小启动项
|
||||||
|
- 常用功能开关
|
||||||
|
- 默认调优值
|
||||||
|
3. 让不常改的高阶参数继续留默认
|
||||||
|
|
||||||
|
也就是说:
|
||||||
|
|
||||||
|
- 使用者只需要先关心 10-20 个关键变量
|
||||||
|
- 其余变量保持默认即可
|
||||||
|
|
||||||
|
## 9. 当前已经完成的配置治理
|
||||||
|
|
||||||
|
1. 根 `.env.example` 收口
|
||||||
|
2. `.env.secrets.example` 新增
|
||||||
|
3. 前端 `.env.example` 收口
|
||||||
|
4. 运行时配置校验脚本新增
|
||||||
|
5. `/ops` 管理员白名单与前后端职责边界已明确
|
||||||
|
5. 支付运行态与多 RPC 配置支持
|
||||||
|
6. 运行态 SQLite 迁移配置支持
|
||||||
|
|
||||||
|
## 10. 配置校验命令
|
||||||
|
|
||||||
|
在不启动服务的情况下,你可以直接检查配置:
|
||||||
|
|
||||||
|
```bash
|
||||||
|
python scripts/validate_runtime_env.py --component web
|
||||||
|
python scripts/validate_runtime_env.py --component bot
|
||||||
|
```
|
||||||
@@ -0,0 +1,311 @@
|
|||||||
|
# EMOS 训练报告(2026-03-20)
|
||||||
|
|
||||||
|
## 1. 报告目的
|
||||||
|
|
||||||
|
本文档用于记录当前 PolyWeather 概率校准引擎(EMOS)的训练结果、离线评估结果、线上 shadow 观测结果,以及是否具备切换为主路径的条件。
|
||||||
|
|
||||||
|
当前结论先写在前面:
|
||||||
|
|
||||||
|
- `EMOS` 已完成接入、训练、离线评估、shadow 落盘与滚动报表。
|
||||||
|
- 当前默认运行模式应继续保持 `emos_shadow`。
|
||||||
|
- 现阶段 **不建议切换到 `emos_primary`**。
|
||||||
|
|
||||||
|
## 2. 本次训练版本
|
||||||
|
|
||||||
|
- 校准版本:`emos-20260320130245`
|
||||||
|
- 训练时间:`2026-03-20T13:02:45.903772+00:00`
|
||||||
|
- 参数文件:[default.json](/E:/web/PolyWeather/artifacts/probability_calibration/default.json)
|
||||||
|
- 离线评估报告:[evaluation_report.json](/E:/web/PolyWeather/artifacts/probability_calibration/evaluation_report.json)
|
||||||
|
- 线上 shadow 报表:[shadow_report.json](/E:/web/PolyWeather/artifacts/probability_calibration/shadow_report.json)
|
||||||
|
|
||||||
|
## 3. 训练数据概况
|
||||||
|
|
||||||
|
### 3.1 数据来源
|
||||||
|
|
||||||
|
当前训练主要使用两类数据:
|
||||||
|
|
||||||
|
1. 项目历史日记录
|
||||||
|
文件:[daily_records.json](/E:/web/PolyWeather/data/daily_records.json)
|
||||||
|
|
||||||
|
2. 历史天气 CSV 构建出的结算标签
|
||||||
|
文件:[settlement_history.json](/E:/web/PolyWeather/artifacts/probability_calibration/settlement_history.json)
|
||||||
|
|
||||||
|
### 3.2 样本规模
|
||||||
|
|
||||||
|
- 总训练样本数:`105`
|
||||||
|
- 通过历史天气 CSV 补回的缺失 `actual_high`:`2`
|
||||||
|
- 历史结算标签覆盖城市数:`30`
|
||||||
|
|
||||||
|
说明:
|
||||||
|
|
||||||
|
- 当前样本已覆盖 30 个城市,但有效监督样本量仍偏小。
|
||||||
|
- 部分城市样本数只有 `2-7` 条,城市级参数容易波动。
|
||||||
|
|
||||||
|
## 4. 模型结构
|
||||||
|
|
||||||
|
### 4.1 当前实现
|
||||||
|
|
||||||
|
EMOS 属于统计后处理层,不是数值天气模型本身。当前结构位于:
|
||||||
|
|
||||||
|
- [probability_calibration.py](/E:/web/PolyWeather/src/analysis/probability_calibration.py)
|
||||||
|
|
||||||
|
当前目标是对原有概率引擎输出进行校准:
|
||||||
|
|
||||||
|
- 输入:`raw_mu`、`raw_sigma`、`DEB`、`ensemble median/spread`、`peak_status` 等特征
|
||||||
|
- 输出:校准后的 `mu / sigma / distribution`
|
||||||
|
|
||||||
|
### 4.2 当前运行模式
|
||||||
|
|
||||||
|
支持三种模式:
|
||||||
|
|
||||||
|
- `legacy`
|
||||||
|
- `emos_shadow`
|
||||||
|
- `emos_primary`
|
||||||
|
|
||||||
|
当前建议默认模式:
|
||||||
|
|
||||||
|
- `emos_shadow`
|
||||||
|
|
||||||
|
即:
|
||||||
|
|
||||||
|
- 对外仍展示 legacy 结果
|
||||||
|
- 后台并行计算 EMOS 结果
|
||||||
|
- 用于持续评估,不直接影响用户
|
||||||
|
|
||||||
|
## 5. 本次训练参数摘要
|
||||||
|
|
||||||
|
### 5.1 全局约束
|
||||||
|
|
||||||
|
本次训练已加入两类约束:
|
||||||
|
|
||||||
|
1. `sigma_constraints`
|
||||||
|
- `min_ratio = 0.85`
|
||||||
|
- `max_ratio = 1.35`
|
||||||
|
- `absolute_min = 0.25`
|
||||||
|
- `absolute_max = 3.0`
|
||||||
|
|
||||||
|
2. `selection_guardrails`
|
||||||
|
- `max_mae_increase = 0.02`
|
||||||
|
- `max_bucket_hit_drop = 0.01`
|
||||||
|
- `max_bucket_brier_increase = 0.05`
|
||||||
|
|
||||||
|
这两类约束的目的不是追求“更激进的拟合”,而是防止 EMOS 为了降低 CRPS 而把分布摊得过平,导致业务上更关键的顶桶命中和概率质量变差。
|
||||||
|
|
||||||
|
### 5.2 当前选中的 blending
|
||||||
|
|
||||||
|
本次训练产物中最终选择:
|
||||||
|
|
||||||
|
- `alpha_mu = 0.0`
|
||||||
|
- `alpha_sigma = 0.0`
|
||||||
|
|
||||||
|
含义是:
|
||||||
|
|
||||||
|
- 训练器在护栏约束下,没有找到足够安全的候选方案可以替代 legacy 主路径
|
||||||
|
- 因此当前正式选中的可用结果,本质上仍然锚定在 legacy
|
||||||
|
|
||||||
|
这是一种正确的保护行为,不是失败。说明门禁已经起作用,避免了坏校准进入主路径。
|
||||||
|
|
||||||
|
## 6. 离线评估结果
|
||||||
|
|
||||||
|
评估报告来源:
|
||||||
|
|
||||||
|
- [evaluation_report.json](/E:/web/PolyWeather/artifacts/probability_calibration/evaluation_report.json)
|
||||||
|
|
||||||
|
### 6.1 总体结果
|
||||||
|
|
||||||
|
Legacy:
|
||||||
|
|
||||||
|
- `mean_crps = 2.793938`
|
||||||
|
- `mean_mae = 2.721143`
|
||||||
|
- `bucket_hit_rate = 0.695238`
|
||||||
|
|
||||||
|
EMOS(强制 primary 评估):
|
||||||
|
|
||||||
|
- `mean_crps = 2.650216`
|
||||||
|
- `mean_mae = 2.722829`
|
||||||
|
- `bucket_hit_rate = 0.666667`
|
||||||
|
|
||||||
|
Delta:
|
||||||
|
|
||||||
|
- `CRPS = -0.143722`
|
||||||
|
- `MAE = +0.001686`
|
||||||
|
- `bucket_hit_rate = -0.028571`
|
||||||
|
|
||||||
|
### 6.2 解读
|
||||||
|
|
||||||
|
这组结果说明:
|
||||||
|
|
||||||
|
1. `CRPS` 有改善
|
||||||
|
说明从“分布整体平滑度”角度看,EMOS 有一定价值。
|
||||||
|
|
||||||
|
2. `MAE` 基本持平但略差
|
||||||
|
不是大问题,但也不能算改善。
|
||||||
|
|
||||||
|
3. `bucket_hit_rate` 明显下降
|
||||||
|
这是当前最大阻塞项。对 PolyWeather 这种结算桶业务来说,顶桶命中率比单纯 CRPS 更关键。
|
||||||
|
|
||||||
|
因此,离线结论是:
|
||||||
|
|
||||||
|
- `EMOS` 有研究价值
|
||||||
|
- 但 **离线强切 primary 仍然不合格**
|
||||||
|
|
||||||
|
## 7. 线上 Shadow 观测结果
|
||||||
|
|
||||||
|
线上 shadow 报表来源:
|
||||||
|
|
||||||
|
- [shadow_report.json](/E:/web/PolyWeather/artifacts/probability_calibration/shadow_report.json)
|
||||||
|
|
||||||
|
### 7.1 总体结果
|
||||||
|
|
||||||
|
- `samples = 103`
|
||||||
|
- `legacy_mean_mae = 1.839223`
|
||||||
|
- `shadow_mean_mae = 1.851931`
|
||||||
|
- `delta_mae = +0.012708`
|
||||||
|
|
||||||
|
- `legacy_bucket_hit_rate = 0.669903`
|
||||||
|
- `shadow_bucket_hit_rate = 0.679612`
|
||||||
|
- `delta_bucket_hit_rate = +0.009709`
|
||||||
|
|
||||||
|
- `legacy_bucket_brier = 0.462814`
|
||||||
|
- `shadow_bucket_brier = 0.756649`
|
||||||
|
- `delta_bucket_brier = +0.293835`
|
||||||
|
|
||||||
|
### 7.2 解读
|
||||||
|
|
||||||
|
线上 shadow 结果和离线强制 primary 结果不完全相同,这是正常的。原因是:
|
||||||
|
|
||||||
|
- `shadow_report` 反映的是历史记录中实际落盘的 shadow 输出
|
||||||
|
- `evaluation_report` 反映的是离线脚本在强制 `emos_primary` 下重新计算的效果
|
||||||
|
|
||||||
|
当前线上 shadow 的含义是:
|
||||||
|
|
||||||
|
1. 顶桶命中率略有提升
|
||||||
|
`+0.97%`
|
||||||
|
|
||||||
|
2. 但 `MAE` 轻微变差
|
||||||
|
虽然幅度不大,但没有形成明确优势
|
||||||
|
|
||||||
|
3. `bucket_brier` 明显更差
|
||||||
|
说明 shadow 分布仍然偏“摊平”,概率质量不足
|
||||||
|
|
||||||
|
这是当前最重要的信号:
|
||||||
|
|
||||||
|
- EMOS 在“顶桶命中”上偶尔能赢
|
||||||
|
- 但在“概率质量”上还不够好
|
||||||
|
|
||||||
|
## 8. 城市级观察
|
||||||
|
|
||||||
|
从当前城市级结果看,EMOS 并不是“全城市统一改善”,而是明显分化:
|
||||||
|
|
||||||
|
### 8.1 相对改善较明显的城市
|
||||||
|
|
||||||
|
- `London`
|
||||||
|
- `Hong Kong`
|
||||||
|
- `Tokyo`
|
||||||
|
- `New York`
|
||||||
|
|
||||||
|
这些城市在部分指标上看到一定改善,说明当前校准特征在这些城市上更有效。
|
||||||
|
|
||||||
|
### 8.2 风险较高的城市
|
||||||
|
|
||||||
|
- `Atlanta`
|
||||||
|
- `Miami`
|
||||||
|
- `Chicago`
|
||||||
|
- `Dallas`
|
||||||
|
- `Seattle`
|
||||||
|
|
||||||
|
这些城市常见现象是:
|
||||||
|
|
||||||
|
- 顶桶命中没有显著提高
|
||||||
|
- 或 `bucket_brier` 明显恶化
|
||||||
|
- 或者 `MAE` 出现不必要抬升
|
||||||
|
|
||||||
|
这说明当前 EMOS 还没有形成稳定的全局校准能力,城市间异质性很强。
|
||||||
|
|
||||||
|
## 9. 当前判断
|
||||||
|
|
||||||
|
### 9.1 能不能上线为主路径
|
||||||
|
|
||||||
|
当前答案:
|
||||||
|
|
||||||
|
- **不能**
|
||||||
|
|
||||||
|
原因:
|
||||||
|
|
||||||
|
1. 离线强制 primary 时,`bucket_hit_rate` 下降
|
||||||
|
2. 线上 shadow 时,`bucket_brier` 明显变差
|
||||||
|
3. 样本量依然偏小,城市样本不均衡
|
||||||
|
4. 城市级表现分化明显
|
||||||
|
|
||||||
|
### 9.2 当前应该怎么运行
|
||||||
|
|
||||||
|
当前最合理的运行方式:
|
||||||
|
|
||||||
|
1. 保持 `emos_shadow`
|
||||||
|
2. 继续落盘 `shadow_prob_snapshot`
|
||||||
|
3. 继续维护滚动报表
|
||||||
|
4. 不修改机器人和网页的正式对外概率展示
|
||||||
|
|
||||||
|
## 10. 已完成的工程能力
|
||||||
|
|
||||||
|
目前已经具备以下能力:
|
||||||
|
|
||||||
|
1. 可离线训练
|
||||||
|
脚本:[fit_probability_calibration.py](/E:/web/PolyWeather/scripts/fit_probability_calibration.py)
|
||||||
|
|
||||||
|
2. 可离线评估
|
||||||
|
脚本:[evaluate_probability_calibration.py](/E:/web/PolyWeather/scripts/evaluate_probability_calibration.py)
|
||||||
|
|
||||||
|
3. 可导出训练样本
|
||||||
|
脚本:[export_probability_training_dataset.py](/E:/web/PolyWeather/scripts/export_probability_training_dataset.py)
|
||||||
|
|
||||||
|
4. 可历史回填 shadow 结果
|
||||||
|
脚本:[backfill_probability_shadow_history.py](/E:/web/PolyWeather/scripts/backfill_probability_shadow_history.py)
|
||||||
|
|
||||||
|
5. 可生成滚动 shadow 报表
|
||||||
|
脚本:[build_probability_shadow_report.py](/E:/web/PolyWeather/scripts/build_probability_shadow_report.py)
|
||||||
|
|
||||||
|
6. CI 已接入
|
||||||
|
包含 `ruff / pytest / frontend build / docker build workflow`
|
||||||
|
|
||||||
|
## 11. 下一步建议
|
||||||
|
|
||||||
|
### 11.1 必做
|
||||||
|
|
||||||
|
1. 扩大监督样本量
|
||||||
|
重点不是继续堆原始天气 CSV,而是补更多带 forecast snapshot 的历史样本。
|
||||||
|
|
||||||
|
2. 继续按版本沉淀训练报告
|
||||||
|
每次重训后都更新本报告或新增版本报告,避免只看单次结果。
|
||||||
|
|
||||||
|
3. 保持 `shadow` 连续观测
|
||||||
|
至少持续一段时间观察滚动指标是否稳定。
|
||||||
|
|
||||||
|
### 11.2 再做
|
||||||
|
|
||||||
|
1. 细分城市组建模
|
||||||
|
比如按气候区、结算规则、温度单位分组,而不是完全全局一套参数。
|
||||||
|
|
||||||
|
2. 优化训练目标
|
||||||
|
目前已经把 `bucket_brier` 纳入目标,但仍需进一步靠近 PolyWeather 的业务目标。
|
||||||
|
|
||||||
|
3. 补更严格的切换门槛
|
||||||
|
只有在同时满足以下条件时,才考虑切 `emos_primary`:
|
||||||
|
- `CRPS` 下降
|
||||||
|
- `MAE` 不上升
|
||||||
|
- `bucket_hit_rate` 不下降
|
||||||
|
- `bucket_brier` 不上升
|
||||||
|
|
||||||
|
## 12. 结论
|
||||||
|
|
||||||
|
当前 EMOS 状态可以概括为:
|
||||||
|
|
||||||
|
- 工程上:已经完整接入,具备训练、评估、shadow 观测能力
|
||||||
|
- 模型上:有一定价值,但还不稳定
|
||||||
|
- 产品上:适合继续做 shadow,不适合切主路径
|
||||||
|
|
||||||
|
最终结论:
|
||||||
|
|
||||||
|
- **继续使用 `emos_shadow`**
|
||||||
|
- **暂不切 `emos_primary`**
|
||||||
|
- **继续积累样本并按版本跟踪训练结果**
|
||||||
@@ -0,0 +1,199 @@
|
|||||||
|
# 前端部署配置(Vercel)
|
||||||
|
|
||||||
|
本文只覆盖 `frontend` 目录对应的 Next.js 前端部署。
|
||||||
|
|
||||||
|
## 一、部署目标
|
||||||
|
|
||||||
|
推荐方案:
|
||||||
|
|
||||||
|
1. GitHub Actions 负责 `CI`
|
||||||
|
2. Vercel 负责前端 `CD`
|
||||||
|
3. FastAPI 后端单独部署在 VPS / Docker 主机
|
||||||
|
|
||||||
|
前端本身不直接访问天气源,而是通过 Next Route Handlers 转发到后端:
|
||||||
|
|
||||||
|
1. 浏览器 -> Vercel 上的 Next.js 前端
|
||||||
|
2. Next `/api/*` -> `POLYWEATHER_API_BASE_URL`
|
||||||
|
3. FastAPI 后端 -> 分析 / 支付 / 鉴权服务
|
||||||
|
|
||||||
|
## 二、Vercel 项目设置
|
||||||
|
|
||||||
|
在 Vercel 导入 GitHub 仓库后,使用下面的设置:
|
||||||
|
|
||||||
|
- Framework Preset: `Next.js`
|
||||||
|
- Root Directory: `frontend`
|
||||||
|
- Build Command: `npm run build`
|
||||||
|
- Install Command: `npm install`
|
||||||
|
|
||||||
|
如果仓库已经连接过 Vercel,通常只需要确认 `Root Directory` 仍然是 `frontend`。
|
||||||
|
|
||||||
|
## 三、最小必填环境变量
|
||||||
|
|
||||||
|
只部署天气看板和基础登录时,先填下面 4 项:
|
||||||
|
|
||||||
|
```env
|
||||||
|
POLYWEATHER_API_BASE_URL=https://<your-fastapi-host>
|
||||||
|
NEXT_PUBLIC_SUPABASE_URL=https://<your-project>.supabase.co
|
||||||
|
NEXT_PUBLIC_SUPABASE_ANON_KEY=<your-anon-key>
|
||||||
|
POLYWEATHER_AUTH_ENABLED=true
|
||||||
|
```
|
||||||
|
|
||||||
|
建议显式补:
|
||||||
|
|
||||||
|
```env
|
||||||
|
POLYWEATHER_AUTH_REQUIRED=true
|
||||||
|
```
|
||||||
|
|
||||||
|
说明:
|
||||||
|
|
||||||
|
- `POLYWEATHER_API_BASE_URL`:前端所有 `/api/*` Route Handler 转发时依赖它,没填会直接返回 500。
|
||||||
|
- `NEXT_PUBLIC_SUPABASE_URL` / `NEXT_PUBLIC_SUPABASE_ANON_KEY`:Supabase 客户端依赖它们。
|
||||||
|
- `POLYWEATHER_AUTH_ENABLED`:关闭时,前端不会启用登录能力。
|
||||||
|
- `POLYWEATHER_AUTH_REQUIRED`:控制 middleware 是否强制登录。
|
||||||
|
|
||||||
|
## 四、按功能启用的可选环境变量
|
||||||
|
|
||||||
|
### 1. 分享式看板
|
||||||
|
|
||||||
|
```env
|
||||||
|
POLYWEATHER_DASHBOARD_ACCESS_TOKEN=
|
||||||
|
```
|
||||||
|
|
||||||
|
设置后,可通过 `/?access_token=<token>` 打开带令牌的看板入口。
|
||||||
|
|
||||||
|
### 2. 前后端 entitlement 校验
|
||||||
|
|
||||||
|
```env
|
||||||
|
POLYWEATHER_BACKEND_ENTITLEMENT_TOKEN=
|
||||||
|
```
|
||||||
|
|
||||||
|
仅当后端开启 entitlement / 订阅校验时需要。
|
||||||
|
|
||||||
|
### 3. 钱包支付
|
||||||
|
|
||||||
|
```env
|
||||||
|
NEXT_PUBLIC_WALLETCONNECT_PROJECT_ID=
|
||||||
|
NEXT_PUBLIC_WALLETCONNECT_POLYGON_RPC_URL=https://polygon-bor-rpc.publicnode.com
|
||||||
|
```
|
||||||
|
|
||||||
|
如果不启用钱包支付,可以留空。
|
||||||
|
|
||||||
|
### 4. Telegram 入口
|
||||||
|
|
||||||
|
```env
|
||||||
|
NEXT_PUBLIC_TELEGRAM_GROUP_URL=https://t.me/<your_group>
|
||||||
|
NEXT_PUBLIC_TELEGRAM_BOT_URL=https://t.me/WeatherQuant_bot
|
||||||
|
```
|
||||||
|
|
||||||
|
只影响按钮跳转,不影响核心页面加载。
|
||||||
|
|
||||||
|
## 五、支付配置与旧部署治理
|
||||||
|
|
||||||
|
支付区现在有一层额外防护:
|
||||||
|
|
||||||
|
1. 用户点击支付前,前端会重新请求 `/api/payments/config`
|
||||||
|
2. 若发现 `receiver_contract` 与页面旧状态不一致,会自动切换到最新地址
|
||||||
|
3. 若后端返回的 `tx_payload.to` 与最新 `receiver_contract` 不一致,会直接阻断支付
|
||||||
|
|
||||||
|
这层防护的目的,是降低以下事故概率:
|
||||||
|
|
||||||
|
- 用户使用长期未刷新的旧标签页
|
||||||
|
- 命中旧 deployment URL
|
||||||
|
- 页面本地状态残留旧收款地址
|
||||||
|
|
||||||
|
如果你变更过支付收款地址,建议同步执行:
|
||||||
|
|
||||||
|
1. 在 Vercel 对当前 production 做一次 redeploy
|
||||||
|
2. 删除明显过期、可能还带旧支付配置的旧 deployment
|
||||||
|
3. 在 `Settings -> Security -> Deployment Retention Policy` 中收紧旧部署保留周期
|
||||||
|
|
||||||
|
## 六、推荐的三套配置口径
|
||||||
|
|
||||||
|
### 1. 公开游客模式
|
||||||
|
|
||||||
|
```env
|
||||||
|
POLYWEATHER_API_BASE_URL=https://api.example.com
|
||||||
|
POLYWEATHER_AUTH_ENABLED=false
|
||||||
|
POLYWEATHER_AUTH_REQUIRED=false
|
||||||
|
```
|
||||||
|
|
||||||
|
适合公开演示站。
|
||||||
|
|
||||||
|
### 2. 正常登录模式
|
||||||
|
|
||||||
|
```env
|
||||||
|
POLYWEATHER_API_BASE_URL=https://api.example.com
|
||||||
|
NEXT_PUBLIC_SUPABASE_URL=https://<project>.supabase.co
|
||||||
|
NEXT_PUBLIC_SUPABASE_ANON_KEY=<anon-key>
|
||||||
|
POLYWEATHER_AUTH_ENABLED=true
|
||||||
|
POLYWEATHER_AUTH_REQUIRED=true
|
||||||
|
```
|
||||||
|
|
||||||
|
适合正式前端站点。
|
||||||
|
|
||||||
|
### 3. 登录 + entitlement 联动
|
||||||
|
|
||||||
|
```env
|
||||||
|
POLYWEATHER_API_BASE_URL=https://api.example.com
|
||||||
|
NEXT_PUBLIC_SUPABASE_URL=https://<project>.supabase.co
|
||||||
|
NEXT_PUBLIC_SUPABASE_ANON_KEY=<anon-key>
|
||||||
|
POLYWEATHER_AUTH_ENABLED=true
|
||||||
|
POLYWEATHER_AUTH_REQUIRED=true
|
||||||
|
POLYWEATHER_BACKEND_ENTITLEMENT_TOKEN=<shared-token>
|
||||||
|
```
|
||||||
|
|
||||||
|
适合前后端都启用了会员/订阅保护的生产环境。
|
||||||
|
|
||||||
|
## 七、不要放进 Vercel 的变量
|
||||||
|
|
||||||
|
这些属于后端私密配置,不应该放到前端项目:
|
||||||
|
|
||||||
|
- `SUPABASE_SERVICE_ROLE_KEY`
|
||||||
|
- `TELEGRAM_BOT_TOKEN`
|
||||||
|
- `POLYWEATHER_BACKEND_ENTITLEMENT_TOKEN` 以外的后端 secret
|
||||||
|
- 支付签名私钥 / 交易私钥 / 任何 bot 凭据
|
||||||
|
|
||||||
|
特别注意:
|
||||||
|
|
||||||
|
- `NEXT_PUBLIC_*` 会暴露给浏览器
|
||||||
|
- 只有明确允许前端公开使用的值,才应加 `NEXT_PUBLIC_`
|
||||||
|
|
||||||
|
## 八、上线前检查
|
||||||
|
|
||||||
|
Vercel 部署前至少确认:
|
||||||
|
|
||||||
|
1. `POLYWEATHER_API_BASE_URL` 指向可访问的后端生产地址
|
||||||
|
2. `frontend/.env.example` 和 Vercel Project Settings 中的实际值一致
|
||||||
|
3. GitHub Actions 中 `frontend-quality` 已通过
|
||||||
|
4. 如果启用鉴权,Supabase redirect URL 已包含前端域名
|
||||||
|
5. `GET /api/payments/config` 返回的是当前最新地址,而不是旧收款合约
|
||||||
|
|
||||||
|
## 九、常见问题
|
||||||
|
|
||||||
|
### 1. 页面打开后 API 全部 500
|
||||||
|
|
||||||
|
先检查:
|
||||||
|
|
||||||
|
```env
|
||||||
|
POLYWEATHER_API_BASE_URL
|
||||||
|
```
|
||||||
|
|
||||||
|
这是最常见原因。
|
||||||
|
|
||||||
|
### 2. Vercel 构建通过,但登录失败
|
||||||
|
|
||||||
|
先检查:
|
||||||
|
|
||||||
|
- `NEXT_PUBLIC_SUPABASE_URL`
|
||||||
|
- `NEXT_PUBLIC_SUPABASE_ANON_KEY`
|
||||||
|
- Supabase 项目里的站点 URL / redirect URL
|
||||||
|
|
||||||
|
### 3. 钱包入口显示未配置
|
||||||
|
|
||||||
|
先检查:
|
||||||
|
|
||||||
|
```env
|
||||||
|
NEXT_PUBLIC_WALLETCONNECT_PROJECT_ID
|
||||||
|
```
|
||||||
|
|
||||||
|
这是钱包连接的必需项。
|
||||||
@@ -0,0 +1,63 @@
|
|||||||
|
# Open-Core 与商用边界
|
||||||
|
|
||||||
|
最后更新:`2026-03-14`
|
||||||
|
|
||||||
|
## 1. 目标
|
||||||
|
|
||||||
|
在保持社区可用性的前提下,保护商业化阶段的核心经营资产。
|
||||||
|
|
||||||
|
## 2. 仓库公开范围(可开源)
|
||||||
|
|
||||||
|
- 天气数据采集与标准化(METAR / Open-Meteo / MGM 接口层)。
|
||||||
|
- DEB 与基础趋势分析、概率桶计算。
|
||||||
|
- Dashboard 基础体验与 API/BFF 结构。
|
||||||
|
- Telegram Bot 基础命令与基础积分机制。
|
||||||
|
- 合约支付标准流程(钱包绑定、intent、提交、确认、补单)。
|
||||||
|
|
||||||
|
## 3. 生产私有范围(建议不公开)
|
||||||
|
|
||||||
|
- 商业风控参数与规则库:
|
||||||
|
- 错价信号阈值组合、推送阈值、异常检测策略。
|
||||||
|
- 运营策略资产:
|
||||||
|
- 用户分层规则、促销规则、留存策略、活动模板。
|
||||||
|
- 付费系统敏感细节:
|
||||||
|
- 实时对账容错阈值、退款审计策略、内部财务映射规则。
|
||||||
|
- 私有运维资产:
|
||||||
|
- 生产告警路由、内部频道映射、应急脚本与排障手册。
|
||||||
|
|
||||||
|
## 4. 配置与数据安全红线
|
||||||
|
|
||||||
|
- 不提交:`.env`、私钥、API key、机器人 token。
|
||||||
|
- 不提交:生产数据库、运行时状态文件、支付流水快照。
|
||||||
|
- 不提交:用户身份信息、钱包映射、订阅原始审计日志。
|
||||||
|
|
||||||
|
## 5. 推荐发布模式
|
||||||
|
|
||||||
|
### 5.1 Community Edition(开源)
|
||||||
|
|
||||||
|
- 提供基础分析与基础看板。
|
||||||
|
- 可选保留只读市场扫描。
|
||||||
|
- 默认关闭商业化运营规则。
|
||||||
|
|
||||||
|
### 5.2 Production Edition(私有)
|
||||||
|
|
||||||
|
- 启用收费、订阅、积分抵扣、风控、私有监控。
|
||||||
|
- 仅在私有仓库维护运营策略与敏感参数。
|
||||||
|
|
||||||
|
## 6. 文档口径规范
|
||||||
|
|
||||||
|
对外文档仅描述:
|
||||||
|
|
||||||
|
- 能力边界与使用方式。
|
||||||
|
- 可公开的技术架构。
|
||||||
|
- 不包含可被直接复刻的商业参数。
|
||||||
|
|
||||||
|
不对外文档描述:
|
||||||
|
|
||||||
|
- 具体策略阈值、用户分层细则、收益归因规则。
|
||||||
|
|
||||||
|
## 7. 许可证与法务建议(简版)
|
||||||
|
|
||||||
|
- 建议保持仓库代码许可证与商标/品牌授权分离。
|
||||||
|
- 若提供商业服务,建议在官网补充服务条款与隐私政策。
|
||||||
|
- 对“订阅权益”与“可用性”做明确 SLA 与免责边界。
|
||||||
@@ -0,0 +1,104 @@
|
|||||||
|
# Ops 运营后台说明
|
||||||
|
|
||||||
|
最后更新:`2026-03-21`
|
||||||
|
|
||||||
|
## 1. 入口
|
||||||
|
|
||||||
|
前端入口:
|
||||||
|
|
||||||
|
- `https://polyweather-pro.vercel.app/ops`
|
||||||
|
|
||||||
|
## 2. 权限
|
||||||
|
|
||||||
|
`/ops` 的写接口由后端白名单控制:
|
||||||
|
|
||||||
|
```env
|
||||||
|
POLYWEATHER_OPS_ADMIN_EMAILS=yhrsc30@gmail.com
|
||||||
|
```
|
||||||
|
|
||||||
|
可配置多个邮箱,逗号分隔。
|
||||||
|
|
||||||
|
## 3. 当前能力
|
||||||
|
|
||||||
|
### 只读能力
|
||||||
|
|
||||||
|
- 系统健康
|
||||||
|
- SQLite / rollout / metrics 摘要
|
||||||
|
- 支付运行态
|
||||||
|
- 当前会员
|
||||||
|
- 周榜
|
||||||
|
- 支付异常单
|
||||||
|
|
||||||
|
### 写能力
|
||||||
|
|
||||||
|
- 手动补分
|
||||||
|
- 标记支付异常单“已处理”
|
||||||
|
|
||||||
|
## 4. 当前会员
|
||||||
|
|
||||||
|
会员列表来自:
|
||||||
|
|
||||||
|
1. `subscriptions` 中的有效订阅
|
||||||
|
2. 本地 `users` / `supabase_bindings`
|
||||||
|
3. 若本地缺邮箱或注册时间,再回补 Supabase Auth 用户信息
|
||||||
|
|
||||||
|
去重规则:
|
||||||
|
|
||||||
|
- 同一个 `user_id` 只保留最晚到期那条
|
||||||
|
|
||||||
|
## 5. 支付异常单
|
||||||
|
|
||||||
|
当前异常单来源:
|
||||||
|
|
||||||
|
- `payment_audit_events`
|
||||||
|
- 仅筛 `payment_intent_failed`
|
||||||
|
|
||||||
|
当前支持的典型失败原因:
|
||||||
|
|
||||||
|
- `receiver_mismatch`
|
||||||
|
- `sender_mismatch`
|
||||||
|
- `event_mismatch`
|
||||||
|
- `tx_reverted`
|
||||||
|
|
||||||
|
默认只显示未处理项。
|
||||||
|
|
||||||
|
## 6. 典型处理流程
|
||||||
|
|
||||||
|
### 6.1 钱已到账但没开订阅
|
||||||
|
|
||||||
|
先看 `/ops` 的支付异常单:
|
||||||
|
|
||||||
|
- 如果是 `receiver_mismatch`
|
||||||
|
- 优先判定为支付打到了旧收款地址
|
||||||
|
- 不是缓存问题
|
||||||
|
|
||||||
|
然后执行:
|
||||||
|
|
||||||
|
1. 查 `payment_intents`
|
||||||
|
2. 查 `payment_transactions`
|
||||||
|
3. 查 `subscriptions`
|
||||||
|
4. 跑恢复脚本:
|
||||||
|
|
||||||
|
```bash
|
||||||
|
python scripts/reconcile_subscription_by_email.py --email <user_email>
|
||||||
|
```
|
||||||
|
|
||||||
|
如果仍然失败,再人工补订阅。
|
||||||
|
|
||||||
|
### 6.2 已人工处理
|
||||||
|
|
||||||
|
在 `/ops` 里直接点:
|
||||||
|
|
||||||
|
- `标记已处理`
|
||||||
|
|
||||||
|
这不会删除审计事件,只会给原事件写:
|
||||||
|
|
||||||
|
- `resolved_at`
|
||||||
|
- `resolved_by`
|
||||||
|
|
||||||
|
## 7. 备注
|
||||||
|
|
||||||
|
`/ops` 是运营后台最小版,不是完整 Admin 平台。当前目标是:
|
||||||
|
|
||||||
|
- 让会员、积分、支付事故、系统状态可查
|
||||||
|
- 让常见人工操作不必再直接写 SQL
|
||||||
@@ -0,0 +1,324 @@
|
|||||||
|
# 概率训练样本归档说明(中文)
|
||||||
|
|
||||||
|
## 1. 目的
|
||||||
|
|
||||||
|
这份文档说明两件事:
|
||||||
|
|
||||||
|
1. 为什么 `EMOS` 训练不能只依赖历史实测天气
|
||||||
|
2. 未来如何持续沉淀“历史预测记录”,让概率引擎越训越稳
|
||||||
|
|
||||||
|
一句话结论:
|
||||||
|
|
||||||
|
- 历史实测天气只能补 `actual_high`
|
||||||
|
- 真正决定 `EMOS` 训练质量的是“当时那一刻的预测快照”
|
||||||
|
|
||||||
|
## 2. 什么是“历史预测记录”
|
||||||
|
|
||||||
|
对 PolyWeather 来说,一条可训练的历史预测记录,至少应该包含这些字段:
|
||||||
|
|
||||||
|
- `city`
|
||||||
|
- `timestamp`
|
||||||
|
- `date`
|
||||||
|
- `raw_mu`
|
||||||
|
- `raw_sigma`
|
||||||
|
- `deb_prediction`
|
||||||
|
- `ensemble p10 / p50 / p90`
|
||||||
|
- `multi-model forecasts`
|
||||||
|
- `max_so_far`
|
||||||
|
- `peak_status`
|
||||||
|
- `prob_snapshot`
|
||||||
|
- 当天最终 `actual_high`
|
||||||
|
- 当天最终 `settlement bucket`
|
||||||
|
|
||||||
|
这类记录的核心价值是:
|
||||||
|
|
||||||
|
- 还原“当时系统实际看到什么”
|
||||||
|
- 再对照“后来真实发生了什么”
|
||||||
|
|
||||||
|
只有这两者成对,`EMOS` 才能学习偏差。
|
||||||
|
|
||||||
|
## 3. 为什么不能只用历史天气实测
|
||||||
|
|
||||||
|
历史天气 CSV 只能告诉你:
|
||||||
|
|
||||||
|
- 当天最高温是多少
|
||||||
|
- 某小时温度是多少
|
||||||
|
|
||||||
|
但它不能告诉你:
|
||||||
|
|
||||||
|
- 当天早上 09:00 时,系统的 `mu` 是多少
|
||||||
|
- 当时的 `ensemble spread` 是多少
|
||||||
|
- 当时 `DEB` 怎么看
|
||||||
|
- 当时的 top bucket 是什么
|
||||||
|
|
||||||
|
所以:
|
||||||
|
|
||||||
|
- 历史实测天气是标签
|
||||||
|
- 历史预测记录才是训练输入
|
||||||
|
|
||||||
|
缺少后者,EMOS 只能学到很有限的东西。
|
||||||
|
|
||||||
|
## 4. 当前项目里已经有的基础
|
||||||
|
|
||||||
|
### 4.1 已有历史日记录
|
||||||
|
|
||||||
|
文件:
|
||||||
|
|
||||||
|
- [daily_records.json](/E:/web/PolyWeather/data/daily_records.json)
|
||||||
|
|
||||||
|
当前已经保存了一部分训练相关字段,例如:
|
||||||
|
|
||||||
|
- `forecasts`
|
||||||
|
- `actual_high`
|
||||||
|
- `deb_prediction`
|
||||||
|
- `mu`
|
||||||
|
- `prob_snapshot`
|
||||||
|
- `shadow_prob_snapshot`
|
||||||
|
- `probability_calibration`
|
||||||
|
- `probability_features`
|
||||||
|
|
||||||
|
这已经是“历史预测记录”的雏形。
|
||||||
|
|
||||||
|
### 4.2 已有历史天气 CSV
|
||||||
|
|
||||||
|
目录:
|
||||||
|
|
||||||
|
- [data/historical](/E:/web/PolyWeather/data/historical)
|
||||||
|
|
||||||
|
它们可以帮助补:
|
||||||
|
|
||||||
|
- `actual_high`
|
||||||
|
- `settlement history`
|
||||||
|
|
||||||
|
但不能替代预测快照归档。
|
||||||
|
|
||||||
|
## 5. 未来应该怎么存历史预测记录
|
||||||
|
|
||||||
|
推荐做法是:
|
||||||
|
|
||||||
|
### 5.1 固定时点归档
|
||||||
|
|
||||||
|
每天为每个重点城市固定存几次快照,例如:
|
||||||
|
|
||||||
|
- 当地 `09:00`
|
||||||
|
- 当地 `12:00`
|
||||||
|
- 当地 `15:00`
|
||||||
|
|
||||||
|
这样能确保每个交易日都有稳定可比样本。
|
||||||
|
|
||||||
|
### 5.2 关键变化时补充归档
|
||||||
|
|
||||||
|
除了固定时点,还应该在以下情况额外存一次:
|
||||||
|
|
||||||
|
- `max_so_far` 创新高
|
||||||
|
- `mu` 变化超过阈值
|
||||||
|
- `top bucket` 发生变化
|
||||||
|
- `shadow top bucket` 发生变化
|
||||||
|
|
||||||
|
这样能捕捉真正有训练价值的转折点。
|
||||||
|
|
||||||
|
### 5.3 建议的存储格式
|
||||||
|
|
||||||
|
建议新增一个文件,例如:
|
||||||
|
|
||||||
|
- `data/probability_training_snapshots.jsonl`
|
||||||
|
|
||||||
|
每一行保存一条 JSON 记录。
|
||||||
|
|
||||||
|
优点:
|
||||||
|
|
||||||
|
- 追加写入简单
|
||||||
|
- 后续导出训练集方便
|
||||||
|
- 不容易因为单个大 JSON 文件损坏而全盘受影响
|
||||||
|
|
||||||
|
## 6. 一条建议的快照结构
|
||||||
|
|
||||||
|
示例:
|
||||||
|
|
||||||
|
```json
|
||||||
|
{
|
||||||
|
"city": "ankara",
|
||||||
|
"timestamp": "2026-03-20T12:00:00+03:00",
|
||||||
|
"date": "2026-03-20",
|
||||||
|
"raw_mu": 15.2,
|
||||||
|
"raw_sigma": 1.2,
|
||||||
|
"deb_prediction": 15.4,
|
||||||
|
"ensemble": {
|
||||||
|
"p10": 14.8,
|
||||||
|
"median": 15.8,
|
||||||
|
"p90": 17.9
|
||||||
|
},
|
||||||
|
"multi_model": {
|
||||||
|
"ECMWF": 15.8,
|
||||||
|
"GFS": 14.1,
|
||||||
|
"ICON": 15.9,
|
||||||
|
"GEM": 16.5,
|
||||||
|
"JMA": 14.5
|
||||||
|
},
|
||||||
|
"max_so_far": 15.0,
|
||||||
|
"peak_status": "before",
|
||||||
|
"prob_snapshot": [
|
||||||
|
{"v": 15, "p": 0.552},
|
||||||
|
{"v": 16, "p": 0.377}
|
||||||
|
],
|
||||||
|
"shadow_prob_snapshot": [
|
||||||
|
{"v": 15, "p": 0.324},
|
||||||
|
{"v": 16, "p": 0.238}
|
||||||
|
],
|
||||||
|
"probability_engine": "legacy",
|
||||||
|
"probability_mode": "emos_shadow",
|
||||||
|
"calibration_version": "emos-20260320130245"
|
||||||
|
}
|
||||||
|
```
|
||||||
|
|
||||||
|
当天结束后,再由后处理脚本回填:
|
||||||
|
|
||||||
|
- `actual_high`
|
||||||
|
- `settlement_bucket`
|
||||||
|
|
||||||
|
## 7. 现阶段你可以执行的命令
|
||||||
|
|
||||||
|
### 7.1 回填历史天气 CSV
|
||||||
|
|
||||||
|
```bash
|
||||||
|
python scripts/backfill_historical_weather.py
|
||||||
|
```
|
||||||
|
|
||||||
|
作用:
|
||||||
|
|
||||||
|
- 补全 30 城市历史天气时序 CSV
|
||||||
|
|
||||||
|
### 7.2 从历史 CSV 构建日级结算标签
|
||||||
|
|
||||||
|
```bash
|
||||||
|
python scripts/build_settlement_history_from_csv.py
|
||||||
|
```
|
||||||
|
|
||||||
|
作用:
|
||||||
|
|
||||||
|
- 生成 [settlement_history.json](/E:/web/PolyWeather/artifacts/probability_calibration/settlement_history.json)
|
||||||
|
|
||||||
|
### 7.3 导出当前训练样本
|
||||||
|
|
||||||
|
```bash
|
||||||
|
python scripts/export_probability_training_dataset.py
|
||||||
|
```
|
||||||
|
|
||||||
|
作用:
|
||||||
|
|
||||||
|
- 生成 [training_samples.json](/E:/web/PolyWeather/artifacts/probability_calibration/training_samples.json)
|
||||||
|
|
||||||
|
### 7.4 重训 EMOS
|
||||||
|
|
||||||
|
```bash
|
||||||
|
python scripts/fit_probability_calibration.py
|
||||||
|
```
|
||||||
|
|
||||||
|
作用:
|
||||||
|
|
||||||
|
- 生成新的 [default.json](/E:/web/PolyWeather/artifacts/probability_calibration/default.json)
|
||||||
|
|
||||||
|
### 7.5 离线评估训练效果
|
||||||
|
|
||||||
|
```bash
|
||||||
|
python scripts/evaluate_probability_calibration.py
|
||||||
|
```
|
||||||
|
|
||||||
|
作用:
|
||||||
|
|
||||||
|
- 生成 [evaluation_report.json](/E:/web/PolyWeather/artifacts/probability_calibration/evaluation_report.json)
|
||||||
|
|
||||||
|
### 7.6 回填 shadow 结果到历史记录
|
||||||
|
|
||||||
|
```bash
|
||||||
|
python scripts/backfill_probability_shadow_history.py
|
||||||
|
```
|
||||||
|
|
||||||
|
作用:
|
||||||
|
|
||||||
|
- 把 `shadow_prob_snapshot` 和 `probability_calibration` 回填到 [daily_records.json](/E:/web/PolyWeather/data/daily_records.json)
|
||||||
|
|
||||||
|
### 7.7 生成线上 shadow 滚动报表
|
||||||
|
|
||||||
|
```bash
|
||||||
|
python scripts/build_probability_shadow_report.py
|
||||||
|
```
|
||||||
|
|
||||||
|
作用:
|
||||||
|
|
||||||
|
- 生成 [shadow_report.json](/E:/web/PolyWeather/artifacts/probability_calibration/shadow_report.json)
|
||||||
|
|
||||||
|
## 8. 推荐的一整套重训流程
|
||||||
|
|
||||||
|
如果过了十天、半个月,想重新训练一次,建议按这个顺序执行:
|
||||||
|
|
||||||
|
```bash
|
||||||
|
python scripts/build_settlement_history_from_csv.py
|
||||||
|
python scripts/export_probability_training_dataset.py
|
||||||
|
python scripts/fit_probability_calibration.py
|
||||||
|
python scripts/evaluate_probability_calibration.py
|
||||||
|
python scripts/backfill_probability_shadow_history.py
|
||||||
|
python scripts/build_probability_shadow_report.py
|
||||||
|
```
|
||||||
|
|
||||||
|
如果历史天气 CSV 还没补全,再先执行:
|
||||||
|
|
||||||
|
```bash
|
||||||
|
python scripts/backfill_historical_weather.py
|
||||||
|
```
|
||||||
|
|
||||||
|
## 9. 怎么判断这次训练有没有进步
|
||||||
|
|
||||||
|
重训后,不要只看一个指标。
|
||||||
|
|
||||||
|
至少看这 4 个:
|
||||||
|
|
||||||
|
1. `CRPS`
|
||||||
|
- 越低越好
|
||||||
|
|
||||||
|
2. `MAE`
|
||||||
|
- 越低越好
|
||||||
|
- 至少不要明显变差
|
||||||
|
|
||||||
|
3. `Bucket Hit Rate`
|
||||||
|
- 越高越好
|
||||||
|
- 这是业务上非常关键的指标
|
||||||
|
|
||||||
|
4. `Bucket Brier`
|
||||||
|
- 越低越好
|
||||||
|
- 反映概率分布质量
|
||||||
|
|
||||||
|
只有同时满足下面条件,才可以说训练效果真的进步:
|
||||||
|
|
||||||
|
- `CRPS` 下降
|
||||||
|
- `MAE` 不上升
|
||||||
|
- `Bucket Hit Rate` 不下降
|
||||||
|
- `Bucket Brier` 不上升
|
||||||
|
|
||||||
|
## 10. 当前最重要的现实判断
|
||||||
|
|
||||||
|
过去的“完整历史预测记录”通常没法完全补出来,除非:
|
||||||
|
|
||||||
|
1. 你之前就存过
|
||||||
|
2. 你接入了支持 forecast archive 的商业数据源
|
||||||
|
|
||||||
|
所以现实里最重要的不是“把过去全补齐”,而是:
|
||||||
|
|
||||||
|
- 从现在开始系统化归档
|
||||||
|
- 每天稳定沉淀可训练样本
|
||||||
|
- 定期离线重训
|
||||||
|
|
||||||
|
## 11. 推荐的下一步
|
||||||
|
|
||||||
|
最值得做的改造是:
|
||||||
|
|
||||||
|
1. 新增 `probability_training_snapshots.jsonl`
|
||||||
|
2. 每次分析时自动追加一条快照
|
||||||
|
3. 当天结束后自动回填 `actual_high`
|
||||||
|
4. 每 1-2 周重新训练一次
|
||||||
|
|
||||||
|
## 12. 总结
|
||||||
|
|
||||||
|
如果只记住一句话,就记这个:
|
||||||
|
|
||||||
|
**EMOS 要想越训越好,关键不是多下载一点历史天气,而是持续保存“当时系统看到的预测快照”。**
|
||||||
@@ -0,0 +1,122 @@
|
|||||||
|
# Supabase + 登录 + 支付接入说明(v1.5.1)
|
||||||
|
|
||||||
|
最后更新:`2026-03-14`
|
||||||
|
|
||||||
|
## 1. 目标
|
||||||
|
|
||||||
|
- 前端支持 Google 一键登录 + 邮箱注册/登录。
|
||||||
|
- 后端支持 Supabase JWT 鉴权。
|
||||||
|
- 支持 Polygon 合约支付(USDC / USDC.e)并自动确认开通订阅。
|
||||||
|
|
||||||
|
## 2. Supabase 控制台配置
|
||||||
|
|
||||||
|
1. `Auth -> Providers` 打开 `Google` 与 `Email`。
|
||||||
|
2. Google Cloud OAuth 回调配置:
|
||||||
|
- `https://<project-ref>.supabase.co/auth/v1/callback`
|
||||||
|
3. `Auth -> URL Configuration` 添加:
|
||||||
|
- 站点 URL(生产域名)
|
||||||
|
- 回调 URL(例如 `https://polyweather-pro.vercel.app/auth/callback`)
|
||||||
|
|
||||||
|
## 3. 数据库脚本
|
||||||
|
|
||||||
|
在 Supabase SQL Editor 执行:
|
||||||
|
|
||||||
|
- `scripts/supabase/schema.sql`
|
||||||
|
|
||||||
|
会创建支付与订阅相关表:
|
||||||
|
|
||||||
|
- `subscriptions`
|
||||||
|
- `payments`
|
||||||
|
- `entitlement_events`
|
||||||
|
- `user_wallets`
|
||||||
|
- `wallet_link_challenges`
|
||||||
|
- `payment_intents`
|
||||||
|
- `payment_transactions`
|
||||||
|
|
||||||
|
## 4. 环境变量
|
||||||
|
|
||||||
|
### 4.1 前端(Vercel / frontend/.env.local)
|
||||||
|
|
||||||
|
```env
|
||||||
|
NEXT_PUBLIC_SUPABASE_URL=
|
||||||
|
NEXT_PUBLIC_SUPABASE_ANON_KEY=
|
||||||
|
POLYWEATHER_AUTH_ENABLED=true
|
||||||
|
POLYWEATHER_AUTH_REQUIRED=false
|
||||||
|
POLYWEATHER_API_BASE_URL=http://<backend-host>:8000
|
||||||
|
POLYWEATHER_BACKEND_ENTITLEMENT_TOKEN=
|
||||||
|
|
||||||
|
# WalletConnect(支持手机钱包扫码)
|
||||||
|
NEXT_PUBLIC_WALLETCONNECT_PROJECT_ID=
|
||||||
|
NEXT_PUBLIC_WALLETCONNECT_POLYGON_RPC_URL=https://polygon-bor-rpc.publicnode.com
|
||||||
|
|
||||||
|
# Overlay 跳转
|
||||||
|
NEXT_PUBLIC_TELEGRAM_GROUP_URL=https://t.me/<your_group>
|
||||||
|
```
|
||||||
|
|
||||||
|
### 4.2 后端 / Bot(.env)
|
||||||
|
|
||||||
|
```env
|
||||||
|
POLYWEATHER_AUTH_ENABLED=true
|
||||||
|
POLYWEATHER_AUTH_REQUIRED=false
|
||||||
|
POLYWEATHER_AUTH_REQUIRE_SUBSCRIPTION=false
|
||||||
|
|
||||||
|
SUPABASE_URL=
|
||||||
|
SUPABASE_ANON_KEY=
|
||||||
|
SUPABASE_SERVICE_ROLE_KEY=
|
||||||
|
SUPABASE_HTTP_TIMEOUT_SEC=8
|
||||||
|
|
||||||
|
POLYWEATHER_PAYMENT_ENABLED=true
|
||||||
|
POLYWEATHER_PAYMENT_CHAIN_ID=137
|
||||||
|
POLYWEATHER_PAYMENT_RPC_URL=https://polygon-bor-rpc.publicnode.com
|
||||||
|
POLYWEATHER_PAYMENT_RECEIVER_CONTRACT=0x<receiver_contract>
|
||||||
|
POLYWEATHER_PAYMENT_CONFIRMATIONS=2
|
||||||
|
POLYWEATHER_PAYMENT_INTENT_TTL_SEC=1800
|
||||||
|
POLYWEATHER_PAYMENT_WALLET_CHALLENGE_TTL_SEC=600
|
||||||
|
POLYWEATHER_PAYMENT_POLL_INTERVAL_SEC=4
|
||||||
|
POLYWEATHER_PAYMENT_MAX_WAIT_SEC=50
|
||||||
|
|
||||||
|
# 支持双币种(示例)
|
||||||
|
POLYWEATHER_PAYMENT_ACCEPTED_TOKENS_JSON=[{"code":"usdc_e","symbol":"USDC.e","name":"USDC.e (PoS)","address":"0x2791Bca1f2de4661ED88A30C99A7a9449Aa84174","decimals":6,"receiver_contract":"0x<receiver>","is_default":true},{"code":"usdc","symbol":"USDC","name":"Native USDC","address":"0x3c499c542cef5e3811e1192ce70d8cc03d5c3359","decimals":6,"receiver_contract":"0x<receiver>"}]
|
||||||
|
|
||||||
|
# 套餐(当前只保留月付)
|
||||||
|
POLYWEATHER_PAYMENT_PLAN_CATALOG_JSON={"pro_monthly":{"plan_id":101,"amount_usdc":"5","duration_days":30}}
|
||||||
|
POLYWEATHER_PAYMENT_ALLOWED_PLAN_CODES=pro_monthly
|
||||||
|
|
||||||
|
# 积分抵扣
|
||||||
|
POLYWEATHER_PAYMENT_POINTS_ENABLED=true
|
||||||
|
POLYWEATHER_PAYMENT_POINTS_PER_USDC=500
|
||||||
|
POLYWEATHER_PAYMENT_POINTS_MAX_DISCOUNT_USDC=3
|
||||||
|
|
||||||
|
# 支付自动补单
|
||||||
|
POLYWEATHER_PAYMENT_EVENT_LOOP_ENABLED=true
|
||||||
|
POLYWEATHER_PAYMENT_CONFIRM_LOOP_ENABLED=true
|
||||||
|
```
|
||||||
|
|
||||||
|
## 5. 钱包异动频道拆分(推荐)
|
||||||
|
|
||||||
|
如果要把“钱包异动监控”发到独立频道:
|
||||||
|
|
||||||
|
```env
|
||||||
|
POLYMARKET_WALLET_ACTIVITY_CHAT_ID=-1003821482461
|
||||||
|
```
|
||||||
|
|
||||||
|
说明:
|
||||||
|
|
||||||
|
- 设置了 `POLYMARKET_WALLET_ACTIVITY_CHAT_ID(S)` 后,钱包异动推送优先发该频道。
|
||||||
|
- 未设置时,回退到全局 `TELEGRAM_CHAT_IDS/TELEGRAM_CHAT_ID`。
|
||||||
|
|
||||||
|
## 6. 验证步骤
|
||||||
|
|
||||||
|
1. 登录后请求 `/api/auth/me`,确认 `authenticated=true`。
|
||||||
|
2. 请求 `/api/payments/config`,确认 `enabled=true`、`configured=true`。
|
||||||
|
3. 钱包绑定:
|
||||||
|
- `POST /api/payments/wallets/challenge`
|
||||||
|
- `POST /api/payments/wallets/verify`
|
||||||
|
4. 支付流程:
|
||||||
|
- `POST /api/payments/intents`
|
||||||
|
- 发链上交易
|
||||||
|
- `POST /api/payments/intents/{id}/submit`
|
||||||
|
- `POST /api/payments/intents/{id}/confirm`
|
||||||
|
5. 若前端显示 pending,轮询:
|
||||||
|
- `GET /api/payments/intents/{id}`
|
||||||
|
6. 确认订阅:`/api/auth/me` 返回 `subscription_active=true`。
|
||||||
+54
-65
@@ -1,95 +1,84 @@
|
|||||||
# Technical Debt Backlog
|
# 技术债与工程待办(v1.5.1)
|
||||||
|
|
||||||
Purpose: keep engineering debt explicit while shipping production features.
|
最后更新:`2026-03-20`
|
||||||
|
|
||||||
---
|
目标:在收费上线后,优先保证状态一致性、支付可靠性、可观测性和概率引擎发布可控。
|
||||||
|
|
||||||
## 1. Debt Landscape
|
## 1. 债务快照
|
||||||
|
|
||||||
|
当前估计:**95% 稳定 / 5% 技术债**。
|
||||||
|
|
||||||
```mermaid
|
```mermaid
|
||||||
flowchart TD
|
flowchart TD
|
||||||
A["Tech Debt"]
|
A["技术债"]
|
||||||
|
|
||||||
subgraph AR["Architecture"]
|
subgraph P["支付与订阅"]
|
||||||
AR1["Monolithic bot entry"]
|
P1["合约 V2 升级(SafeERC20 / Pausable)"]
|
||||||
AR2["Shared runtime coupling"]
|
P2["退款与工单流程"]
|
||||||
|
P3["多 RPC 与链上对账面板"]
|
||||||
end
|
end
|
||||||
|
|
||||||
subgraph PI["Product Infra"]
|
subgraph E["权限与运营"]
|
||||||
PI1["Entitlement hardening"]
|
E1["前后端/Bot 权限矩阵回归"]
|
||||||
PI2["Subscription persistence"]
|
E2["积分来源明细与补分审计"]
|
||||||
end
|
end
|
||||||
|
|
||||||
subgraph Q["Quality"]
|
subgraph O["可观测性"]
|
||||||
Q1["Replay harness"]
|
O1["外部监控抓取与告警阈值"]
|
||||||
Q2["Broader regression tests"]
|
O2["业务监控看板"]
|
||||||
end
|
end
|
||||||
|
|
||||||
subgraph O["Observability"]
|
subgraph S["状态与概率"]
|
||||||
O1["Alert evidence trace"]
|
S1["SQLite dual -> sqlite 切换验收"]
|
||||||
O2["SLO dashboards"]
|
S2["EMOS shadow -> primary 门禁稳定化"]
|
||||||
end
|
end
|
||||||
|
|
||||||
A --> AR
|
A --> P
|
||||||
A --> PI
|
A --> E
|
||||||
A --> Q
|
|
||||||
A --> O
|
A --> O
|
||||||
|
A --> S
|
||||||
```
|
```
|
||||||
|
|
||||||
Current system health estimate: **86% stable / 14% debt**.
|
## 2. 近期已关闭
|
||||||
|
|
||||||
---
|
- 支付主链路已上线(intent -> submit -> confirm)。
|
||||||
|
- 支付自动补单已上线(Event Loop + Confirm Loop)。
|
||||||
|
- 支付事件重放脚本已补齐。
|
||||||
|
- 支付运行态 API 与 SQLite 审计事件已补齐。
|
||||||
|
- 钱包绑定支持浏览器钱包 + WalletConnect。
|
||||||
|
- 账户中心与 Pro 权限展示链路打通。
|
||||||
|
- 钱包异动支持独立频道路由。
|
||||||
|
- 运行态状态/缓存已支持 SQLite 渐进迁移。
|
||||||
|
- 轻量可观测性已上线(`/healthz`、`/api/system/status`、`/metrics`)。
|
||||||
|
- EMOS/CRPS 校准链路已上线 shadow 模式。
|
||||||
|
|
||||||
## 2. Recently Closed (2026-03-12)
|
## 3. 高优先级技术债
|
||||||
|
|
||||||
- Meteoblue API path fully removed from backend, frontend, config and docs.
|
| 项目 | 影响 | 建议动作 |
|
||||||
- Market top-bucket duplicate temperature issue fixed (backend dedupe + frontend guard).
|
|
||||||
- Detail panel a11y conflict fixed (`aria-hidden` focus conflict resolved with `inert` + blur).
|
|
||||||
- Vercel Speed Insights integrated for frontend performance telemetry.
|
|
||||||
- Frontend BFF `ETag + Cache-Control` landed for cities/summary/history (`force_refresh` keeps `no-store`).
|
|
||||||
- Mispricing radar now hard-skips non-tradable markets (closed/inactive/not accepting orders/past endDate).
|
|
||||||
- AI analysis now includes peak-window hard constraints (before-window cannot claim "locked"/"confirmed floor").
|
|
||||||
|
|
||||||
---
|
|
||||||
|
|
||||||
## 3. High Priority Debt
|
|
||||||
|
|
||||||
| Item | Impact | Suggested Work |
|
|
||||||
| :-- | :-- | :-- |
|
| :-- | :-- | :-- |
|
||||||
| Monolithic bot entry (`bot_listener.py`) | Hard to test and safely refactor | Split orchestration, IO and analysis modules |
|
| SQLite 主读切换验收 | 仍处于 dual 过渡期 | 线上跑满 24-48 小时后切到 `sqlite` |
|
||||||
| Entitlement enforcement consistency | Revenue leakage risk | Align frontend middleware and backend enforcement |
|
| EMOS 上线门禁 | 当前 `hold`,不能切 primary | 继续积累样本,重点压 `bucket_brier` |
|
||||||
| Subscriber persistence model | Manual operations do not scale | Move to managed PostgreSQL/Supabase state |
|
| 外部监控与告警 | 只有轻量指标,无外部抓取 | 接 Prometheus/Grafana 或最小巡检 |
|
||||||
| Alert explainability | Operator trust and debugging cost | Standardize evidence payload per alert |
|
| 退款与售后链路 | 商业闭环不完整 | 增加退款状态机与工单系统 |
|
||||||
|
|
||||||
---
|
## 4. 中优先级技术债
|
||||||
|
|
||||||
## 4. Medium Priority Debt
|
| 项目 | 影响 | 建议动作 |
|
||||||
|
|
||||||
| Item | Impact | Suggested Work |
|
|
||||||
| :-- | :-- | :-- |
|
| :-- | :-- | :-- |
|
||||||
| Replay simulation harness | Hard to reproduce edge cases | Build deterministic replay over stored records |
|
| 积分发放可解释性 | 用户理解成本高 | 输出积分来源明细(发言/奖励/手动补分) |
|
||||||
| Chart/UI regression coverage | Visual regressions can slip | Add snapshot + interaction test coverage |
|
| 支付合约 V2 升级 | 当前仍是最小可用合约 | 升级到 SafeERC20 + Pausable + plan 绑定 |
|
||||||
| Config centralization | Threshold changes are error-prone | Consolidate runtime knobs into structured config |
|
| 支付失败文案标准化 | 转化率受影响 | 建立错误码 -> 文案映射表 |
|
||||||
| Naming cleanup | Legacy terms reduce clarity | Refactor naming in market/weather boundary layer |
|
|
||||||
|
|
||||||
---
|
## 5. 低优先级技术债
|
||||||
|
|
||||||
## 5. Low Priority Debt
|
| 项目 | 影响 | 建议动作 |
|
||||||
|
|
||||||
| Item | Impact | Suggested Work |
|
|
||||||
| :-- | :-- | :-- |
|
| :-- | :-- | :-- |
|
||||||
| Cold-start behavior | First request latency variance | Add warming strategy for top city routes |
|
| 前端离线缓存能力 | 非核心 | 评估 Service Worker + IndexedDB |
|
||||||
| Storage abstraction | Local file assumptions remain | Continue moving state to remote services |
|
| 冷启动波动 | 首屏抖动 | 热点城市预热 |
|
||||||
|
|
||||||
---
|
## 6. 下阶段里程碑
|
||||||
|
|
||||||
## 6. Next Milestones
|
1. 完成 SQLite 从 `dual` 到 `sqlite` 的主读切换。
|
||||||
|
2. 稳定 EMOS shadow,达到 rollout `observe/promote` 条件。
|
||||||
1. Entitlement parity: one policy across frontend and backend.
|
3. 补外部监控抓取与告警阈值。
|
||||||
2. Subscriber DB integration and migration scripts.
|
4. 评估并推进支付合约 V2 升级。
|
||||||
3. Alert evidence schema + tooling for quick operator audit.
|
|
||||||
4. Replay runner for weather/market mixed regression scenarios.
|
|
||||||
|
|
||||||
---
|
|
||||||
|
|
||||||
Last Updated: `2026-03-12`
|
|
||||||
|
|||||||
+47
-58
@@ -1,95 +1,84 @@
|
|||||||
# 技术债与工程待办
|
# 技术债与工程待办(v1.5.1)
|
||||||
|
|
||||||
目标:在持续交付的同时,把关键技术债显式化、可追踪化。
|
最后更新:`2026-03-20`
|
||||||
|
|
||||||
---
|
目标:在收费上线后,优先保证状态一致性、支付可靠性、可观测性和概率引擎发布可控。
|
||||||
|
|
||||||
## 1. 技术债全景
|
## 1. 债务快照
|
||||||
|
|
||||||
|
当前估计:**95% 稳定 / 5% 技术债**。
|
||||||
|
|
||||||
```mermaid
|
```mermaid
|
||||||
flowchart TD
|
flowchart TD
|
||||||
A["技术债"]
|
A["技术债"]
|
||||||
|
|
||||||
subgraph AR["架构层"]
|
subgraph P["支付与订阅"]
|
||||||
AR1["机器人入口过于集中"]
|
P1["合约 V2 升级(SafeERC20 / Pausable)"]
|
||||||
AR2["共享运行时耦合"]
|
P2["退款与工单流程"]
|
||||||
|
P3["多 RPC 与链上对账面板"]
|
||||||
end
|
end
|
||||||
|
|
||||||
subgraph PI["产品基础设施"]
|
subgraph E["权限与运营"]
|
||||||
PI1["订阅权限一致性"]
|
E1["前后端/Bot 权限矩阵回归"]
|
||||||
PI2["付费用户持久化"]
|
E2["积分来源明细与补分审计"]
|
||||||
end
|
|
||||||
|
|
||||||
subgraph Q["质量保障"]
|
|
||||||
Q1["回放测试能力"]
|
|
||||||
Q2["UI 回归覆盖不足"]
|
|
||||||
end
|
end
|
||||||
|
|
||||||
subgraph O["可观测性"]
|
subgraph O["可观测性"]
|
||||||
O1["告警证据链"]
|
O1["外部监控抓取与告警阈值"]
|
||||||
O2["SLO 看板"]
|
O2["业务监控看板"]
|
||||||
end
|
end
|
||||||
|
|
||||||
A --> AR
|
subgraph S["状态与概率"]
|
||||||
A --> PI
|
S1["SQLite dual -> sqlite 切换验收"]
|
||||||
A --> Q
|
S2["EMOS shadow -> primary 门禁稳定化"]
|
||||||
|
end
|
||||||
|
|
||||||
|
A --> P
|
||||||
|
A --> E
|
||||||
A --> O
|
A --> O
|
||||||
|
A --> S
|
||||||
```
|
```
|
||||||
|
|
||||||
当前系统健康度估计:**86% 稳定 / 14% 技术债**。
|
## 2. 近期已关闭
|
||||||
|
|
||||||
---
|
- 支付主链路已上线(intent -> submit -> confirm)。
|
||||||
|
- 支付自动补单已上线(Event Loop + Confirm Loop)。
|
||||||
## 2. 最近已关闭项(2026-03-12)
|
- 支付事件重放脚本已补齐。
|
||||||
|
- 支付运行态 API 与 SQLite 审计事件已补齐。
|
||||||
- Meteoblue API 全链路移除(后端/前端/配置/文档)。
|
- 钱包绑定支持浏览器钱包 + WalletConnect。
|
||||||
- 市场温度桶重复刷屏问题修复(后端去重 + 前端兜底)。
|
- 账户中心与 Pro 权限展示链路打通。
|
||||||
- 详情面板可访问性告警修复(`aria-hidden` 焦点冲突改为 `inert + blur`)。
|
- 钱包异动支持独立频道路由。
|
||||||
- 前端已接入 Vercel Speed Insights。
|
- 运行态状态/缓存已支持 SQLite 渐进迁移。
|
||||||
- 前端 BFF 增加 `ETag + Cache-Control`(cities/summary/history)与 `force_refresh=no-store` 语义。
|
- 轻量可观测性已上线(`/healthz`、`/api/system/status`、`/metrics`)。
|
||||||
- 错价雷达增加“不可交易市场硬拦截”(closed/inactive/不接单/过 endDate)。
|
- EMOS/CRPS 校准链路已上线 shadow 模式。
|
||||||
- AI 分析增加峰值时段硬约束(before 状态禁止“已锁定/已确认底线”)。
|
|
||||||
|
|
||||||
---
|
|
||||||
|
|
||||||
## 3. 高优先级技术债
|
## 3. 高优先级技术债
|
||||||
|
|
||||||
| 项目 | 影响 | 建议动作 |
|
| 项目 | 影响 | 建议动作 |
|
||||||
| :-- | :-- | :-- |
|
| :-- | :-- | :-- |
|
||||||
| 机器人入口单体化(`bot_listener.py`) | 测试和重构风险高 | 拆分为编排层、IO 层、分析层 |
|
| SQLite 主读切换验收 | 仍处于 dual 过渡期 | 线上跑满 24-48 小时后切到 `sqlite` |
|
||||||
| 订阅权限策略不完全统一 | 可能造成付费泄露 | 前后端统一权限校验策略 |
|
| EMOS 上线门禁 | 当前 `hold`,不能切 primary | 继续积累样本,重点压 `bucket_brier` |
|
||||||
| 付费用户状态持久化不足 | 人工运营不可扩展 | 迁移到托管 DB(PostgreSQL/Supabase) |
|
| 外部监控与告警 | 只有轻量指标,无外部抓取 | 接 Prometheus/Grafana 或最小巡检 |
|
||||||
| 告警可解释性不足 | 运维排障成本高 | 统一告警证据字段(Evidence Schema) |
|
| 退款与售后链路 | 商业闭环不完整 | 增加退款状态机与工单系统 |
|
||||||
|
|
||||||
---
|
|
||||||
|
|
||||||
## 4. 中优先级技术债
|
## 4. 中优先级技术债
|
||||||
|
|
||||||
| 项目 | 影响 | 建议动作 |
|
| 项目 | 影响 | 建议动作 |
|
||||||
| :-- | :-- | :-- |
|
| :-- | :-- | :-- |
|
||||||
| 回放仿真能力不足 | 边缘场景难复现 | 基于历史记录构建可重复 Replay |
|
| 积分发放可解释性 | 用户理解成本高 | 输出积分来源明细(发言/奖励/手动补分) |
|
||||||
| 图表/UI 回归覆盖不足 | 视觉回归风险 | 增加快照与交互自动化测试 |
|
| 支付合约 V2 升级 | 当前仍是最小可用合约 | 升级到 SafeERC20 + Pausable + plan 绑定 |
|
||||||
| 阈值配置分散 | 改动成本高且易错 | 统一收口到结构化配置 |
|
| 支付失败文案标准化 | 转化率受影响 | 建立错误码 -> 文案映射表 |
|
||||||
| 命名历史包袱 | 认知成本高 | 系统化命名治理 |
|
|
||||||
|
|
||||||
---
|
|
||||||
|
|
||||||
## 5. 低优先级技术债
|
## 5. 低优先级技术债
|
||||||
|
|
||||||
| 项目 | 影响 | 建议动作 |
|
| 项目 | 影响 | 建议动作 |
|
||||||
| :-- | :-- | :-- |
|
| :-- | :-- | :-- |
|
||||||
| 冷启动波动 | 首次请求延迟不稳定 | 热点城市路由预热 |
|
| 前端离线缓存能力 | 非核心 | 评估 Service Worker + IndexedDB |
|
||||||
| 本地文件状态依赖 | 云端弹性场景受限 | 持续迁移到远程存储 |
|
| 冷启动波动 | 首屏抖动 | 热点城市预热 |
|
||||||
|
|
||||||
---
|
|
||||||
|
|
||||||
## 6. 下阶段里程碑
|
## 6. 下阶段里程碑
|
||||||
|
|
||||||
1. 完成前后端订阅权限一致化。
|
1. 完成 SQLite 从 `dual` 到 `sqlite` 的主读切换。
|
||||||
2. 上线付费用户持久化与迁移脚本。
|
2. 稳定 EMOS shadow,达到 rollout `observe/promote` 条件。
|
||||||
3. 建立告警证据标准并接入运维排障流。
|
3. 补外部监控抓取与告警阈值。
|
||||||
4. 落地天气+市场混合回放回归测试。
|
4. 评估并推进支付合约 V2 升级。
|
||||||
|
|
||||||
---
|
|
||||||
|
|
||||||
最后更新:`2026-03-12`
|
|
||||||
|
|||||||
@@ -0,0 +1,263 @@
|
|||||||
|
# PolyWeather 深度评估与改进提案报告
|
||||||
|
|
||||||
|
## 执行摘要
|
||||||
|
|
||||||
|
PolyWeather(仓库:`yangyuan-zhen/PolyWeather`)定位为**面向温度类结算预测市场(如 Polymarket 的温度结算合约)**的“生产级气象情报系统”,核心在于把多源天气观测/预报转化为**结算导向的概率桶(μ + bucket distribution)**,并进一步映射到市场报价完成**错价扫描**;同时提供 Web 仪表盘与 Telegram Bot 两套交互入口,并包含 Polygon 链上 USDC/USDC.e 支付、自动补单与订阅/积分体系。项目 README 明确其“Open-Core”边界:仓库公开天气聚合、基础分析、看板、Bot、标准支付流程;生产私有部分包含商业风控、阈值与运营工具等。
|
||||||
|
从工程实现看,截至 `2026-03-21`,项目已经完成一轮明确的工程化收口:多源天气采集仍保持现有业务能力,同时已完成采集层与 Web API 大文件拆分、CI 质量门禁、配置分级(`.env.example` / `.env.secrets.example` / 中文部署文档)、EMOS/CRPS 校准链路、运行态状态与缓存向 SQLite 的渐进迁移,以及基础可观测性接口(`/healthz`、`/api/system/status`、`/metrics`)。
|
||||||
|
这意味着报告里最初最突出的“工程地基缺失”问题,已经有一部分被关闭:`src/data_collection/weather_sources.py` 与 `web/app.py` 不再是原来的超大单文件;GitHub Actions 已覆盖 Python、前端和 Docker build;配置与密钥治理已成体系;运行态状态不再只能依赖 JSON/JSONL 文件;EMOS 也不再只是概念,而是进入了可训练、可评估、可 shadow、可门禁判断的阶段。
|
||||||
|
但项目仍处在“从可用走向稳态”的中段,而不是终局。当前真正的高优先级问题已收敛为三类:第一,**SQLite 迁移仍处于推荐的 dual 过渡模式**,线上真正切主读路径前仍需跑一段时间验证;第二,**可观测性只完成了轻量级指标层**,还没有形成完整的外部监控、阈值告警与趋势面板;第三,**EMOS 仍未达到生产切换标准**,当前门禁结论明确为 `hold`,阻塞原因是 shadow bucket brier 明显退化。支付链路方面,链下审计与容灾已明显增强:事件重放、SQLite 审计事件、RPC 多节点容灾、合约静态检查、`/ops` 支付异常单、按邮箱恢复脚本都已补齐;当前剩余风险主要集中在**链上合约本身仍是最小实现**,尚未升级到 SafeERC20、Pausable、链上套餐绑定等更强防护版本。
|
||||||
|
因此,当前阶段最正确的策略已经不是继续做“大范围基础重构”,而是围绕**迁移验收、可观测性补全、EMOS 上线门禁稳定化**这三条线持续收口。短中期内更高 ROI 的方向依然不是引入新的大模型,而是把现有“采集→后处理→市场映射→支付/订阅”的链路做成**状态一致、指标可见、发布可控、回退明确**的生产平台。
|
||||||
|
## 项目概览
|
||||||
|
|
||||||
|
PolyWeather 的目标与范围在 README/README_ZH 中定义得较清楚:为温度结算市场提供气象情报(多源采集→融合→概率→对照市场报价),并提供“官方看板(Vercel 前端)+ VPS 后端 + Telegram Bot”。
|
||||||
|
项目主功能可归纳为四层:
|
||||||
|
**天气层(数据源/采集)**:聚合 20 个城市的实测与预报;支持 AviationWeather METAR(机场观测)、土耳其 MGM 站网、Open-Meteo(含多模型与集合预报)、美国 NWS(仅美国城市)、以及部分城市使用官方结算源(香港 HKO、台北 CWA)等。
|
||||||
|
**分析层(DEB/趋势/概率/结算口径)**:
|
||||||
|
DEB(Dynamic Error Balancing)基于过去 N 天模型误差(MAE)倒数加权,输出融合预报;同时维护 `daily_records.json` 做历史对账、命中率/MAE 统计,并支持基于 WU(Weather Underground 口径)四舍五入的结算命中评估。
|
||||||
|
趋势/概率引擎在 `trend_engine.py` 中实现:综合“集合预报区间→σ/μ→高温窗口→死盘判定→温度桶概率分布→边界提示”等,用于 bot 展示与 web 结构化数据输出。
|
||||||
|
**市场层(Polymarket 行情对照)**:只读模式从 Gamma API 发现市场、从 CLOB(`py-clob-client` 或 REST 回退)读取价格/盘口并计算 edge(模型概率 − 市场概率)生成信号标签。
|
||||||
|
**商业化与支付**:订阅(`Pro Monthly 5 USDC`)、积分抵扣、Polygon 链上收款合约(USDC/USDC.e),并提供“事件监听 + 周期确认”的自动补单机制。
|
||||||
|
**支持的数据集/数据源**:项目不是传统“训练数据集+模型训练”的机器学习仓库;其“数据集”本质是外部实时/预报 API 与站点观测数据。对外部数据的使用需要遵守来源方的访问与速率限制,例如 AviationWeather Data API 明确限制请求频率(含每分钟请求上限/建议降低频率与使用缓存文件)。
|
||||||
|
**许可证**:仓库根目录 `LICENSE` 为 MIT。 同时 README 强调 Open-Core 策略与生产私有组件边界,意味着“可复现/可审计”的范围以公开部分为准。
|
||||||
|
(插图:项目 README 中包含产品截图,可用于快速理解信息架构与 UI 形态)
|
||||||
|

|
||||||
|
|
||||||
|
## 架构与代码库分析
|
||||||
|
|
||||||
|
### 代码库模块地图
|
||||||
|
|
||||||
|
从 README、Docker/Compose、入口脚本与核心模块引用关系,可以抽象出如下模块地图(按“运行时组件”与“Python 域模块”两层描述):
|
||||||
|
| 层级 | 目录/文件 | 角色定位 | 关键说明 |
|
||||||
|
| ------------- | ------------------------------------------------------------------------ | ------------------------------ | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
|
||||||
|
| 运行时组件 | `frontend/` | Next.js 前端(Vercel) | 前端重构报告提到 App Router、Route Handlers(BFF)、缓存策略、支付与账户中心等。 |
|
||||||
|
| 运行时组件 | `web/app.py` + `web/core.py` + `web/routes.py` + `web/analysis_service.py` | FastAPI 后端 API | 已从单文件入口拆为启动入口、核心上下文、路由层、分析服务层。 |
|
||||||
|
| 运行时组件 | `bot_listener.py` + `src/bot/*` | Telegram Bot | 入口 `bot_listener.py` 调 `start_bot()`,并由 `StartupCoordinator` 启动多个后台 loop。 |
|
||||||
|
| Python 域模块 | `src/data_collection/*` | 天气采集 + 城市注册 + 市场读取 | 采集层已拆为 `weather_sources.py` 编排层 + `open_meteo_cache.py`、`settlement_sources.py`、`metar_sources.py`、`mgm_sources.py`、`nws_open_meteo_sources.py`。 |
|
||||||
|
| Python 域模块 | `src/analysis/*` | DEB/趋势/概率/结算口径 | `deb_algorithm.py`、`trend_engine.py`、`settlement_rounding.py`。 |
|
||||||
|
| Python 域模块 | `src/analysis/probability_calibration.py` + `src/analysis/probability_rollout.py` | 概率校准与上线门禁 | 已支持 `legacy / emos_shadow / emos_primary`,并可产出 rollout 判断。 |
|
||||||
|
| Python 域模块 | `src/payments/*` + `contracts/*` | 支付合约 + 事件监听/补单 | Solidity 合约 + Python 侧事件扫描/确认循环 + SQLite 审计事件 + RPC 多节点容灾 + 合约静态检查。 |
|
||||||
|
| Python 域模块 | `src/auth/*`、`docs/SUPABASE_SETUP_ZH.md`、`scripts/supabase/schema.sql` | Supabase 鉴权/订阅/积分 | 使用 `/auth/v1/user` 校验 JWT、`/rest/v1/subscriptions` 查订阅(服务端角色 key 必须保密)。 |
|
||||||
|
| Python 域模块 | `src/database/runtime_state.py` | 运行态状态与缓存仓储 | 已接入 `daily_records`、`telegram_alert_state`、`probability_training_snapshots`、`open_meteo` 持久缓存。 |
|
||||||
|
| 工程与运维 | `docker-compose.yml`、`Dockerfile`、`.github/workflows/ci.yml`、`scripts/*` | 部署/验证脚本 | 现已具备 CI 门禁、迁移脚本、状态校验脚本、配置校验脚本与 rollout 报告脚本。 |
|
||||||
|
|
||||||
|
### 参考架构与关键工作流
|
||||||
|
|
||||||
|
项目 README 给出了一版 mermaid 参考架构图(Web/Telegram→FastAPI→采集→分析→支付/市场层)。 在此基础上,结合 `StartupCoordinator` 的 loop 启动与支付监听逻辑,可补充一个更“运行时视角”的架构图:
|
||||||
|
```mermaid
|
||||||
|
flowchart TB
|
||||||
|
subgraph Clients
|
||||||
|
WEB[Next.js Frontend<br/>Vercel]
|
||||||
|
TG[Telegram Bot<br/>TeleBot + Handlers]
|
||||||
|
end
|
||||||
|
|
||||||
|
subgraph API
|
||||||
|
FAST[FastAPI<br/>web/app.py]
|
||||||
|
end
|
||||||
|
|
||||||
|
subgraph Data
|
||||||
|
WX[WeatherDataCollector]
|
||||||
|
CITY[CITY_REGISTRY]
|
||||||
|
HIST[(SQLite runtime state<br/>daily_records / cache / snapshots)]
|
||||||
|
JSON[Legacy JSON files<br/>dual-mode fallback]
|
||||||
|
end
|
||||||
|
|
||||||
|
subgraph ExternalAPIs
|
||||||
|
OM[Open-Meteo Forecast/Ensemble/Multi-model]
|
||||||
|
AW[AviationWeather Data API<br/>METAR]
|
||||||
|
MGM[MGM Turkey]
|
||||||
|
NWS[api.weather.gov]
|
||||||
|
HKO[data.weather.gov.hk]
|
||||||
|
CWA[opendata.cwa.gov.tw]
|
||||||
|
PM_G[Polymarket Gamma API]
|
||||||
|
PM_C[Polymarket CLOB API]
|
||||||
|
SB[Supabase Auth/REST]
|
||||||
|
RPC[Polygon RPC]
|
||||||
|
end
|
||||||
|
|
||||||
|
subgraph Payments
|
||||||
|
SOL[PolyWeatherCheckout.sol]
|
||||||
|
EVT[event_loop<br/>scan logs]
|
||||||
|
CF[confirm_loop<br/>confirm intents]
|
||||||
|
end
|
||||||
|
|
||||||
|
WEB --> FAST
|
||||||
|
TG --> FAST
|
||||||
|
TG -->|StartupCoordinator<br/>starts loops| EVT
|
||||||
|
TG --> CF
|
||||||
|
|
||||||
|
FAST --> WX
|
||||||
|
WX --> OM
|
||||||
|
WX --> AW
|
||||||
|
WX --> MGM
|
||||||
|
WX --> NWS
|
||||||
|
WX --> HKO
|
||||||
|
WX --> CWA
|
||||||
|
|
||||||
|
FAST --> PM_G
|
||||||
|
FAST --> PM_C
|
||||||
|
|
||||||
|
FAST --> SB
|
||||||
|
EVT --> RPC
|
||||||
|
CF --> RPC
|
||||||
|
RPC --> SOL
|
||||||
|
|
||||||
|
WX --> HIST
|
||||||
|
WX --> JSON
|
||||||
|
FAST --> HIST
|
||||||
|
WX --> CITY
|
||||||
|
```
|
||||||
|
|
||||||
|
### 依赖与运行环境
|
||||||
|
|
||||||
|
**Python 依赖**:`requirements.txt` 包含 `requests`、`loguru`、`pyTelegramBotAPI`、`python-dotenv`、`numpy`、`web3`、`fastapi`、`uvicorn` 等,符合“采集+bot+api+链上交互”的需求。
|
||||||
|
**容器环境**:`Dockerfile` 基于 `python:3.11-slim`,默认启动 bot;`docker-compose.yml` 通过不同 command 分别启动 bot 与 web(`python bot_listener.py` / `python web/app.py`),并挂载运行态数据目录。
|
||||||
|
**前端依赖**:前端 README 描述 Next.js、Leaflet、Chart.js、Supabase Auth、WalletConnect 等;`frontend/package.json` 是前端依赖来源。
|
||||||
|
### 数据预处理、模型与“训练/推理”管线
|
||||||
|
|
||||||
|
本项目的“模型”主要是统计融合与规则/启发式引擎,而非深度网络训练:
|
||||||
|
**天气数据预处理**:`WeatherDataCollector` 内部做了大量“输入清洗+缓存+退避”的工程处理:
|
||||||
|
包含 Open-Meteo 三类缓存(forecast/ensemble/multi_model)、429 冷却期、最小调用间隔、磁盘持久化缓存文件(重启后避免冷启动打爆 API)、以及 METAR/结算源缓存。
|
||||||
|
**DEB(Dynamic Error Balancing)**:以最近 N 天各模型的 MAE 计算倒数权重并做加权融合;同时将 `forecasts / actual_high / deb_prediction / mu / prob_snapshot` 写入 `data/daily_records.json`,并提供命中率/MAE/Brier 等统计口径。
|
||||||
|
**概率引擎**:`trend_engine.py` 以集合预报的 p10/p90 推 σ(并考虑历史 MAE floor、风向/云量/压强的 shock_score、以及峰值窗口 time-decay),再用正态近似把连续分布映射为 WU 整数“温度桶概率”。
|
||||||
|
**推理流水线(在线)**:
|
||||||
|
Web/Telegram 请求 → FastAPI 调用采集器抓取/复用缓存 → 分析引擎输出结构化结果(μ、概率桶、趋势、死盘/窗口判定、DEB 预测、市场扫描)→ 前端渲染或 bot 消息格式化。
|
||||||
|
**检查点(checkpoints)**:传统 ML checkpoint 不适用;但项目现已形成两类“业务状态 checkpoint”:
|
||||||
|
(a)SQLite 运行态存储(推荐主路径);(b)legacy JSON/JSONL 文件(迁移期回退路径)。当前设计是 `POLYWEATHER_STATE_STORAGE_MODE=file|dual|sqlite`,建议先以 `dual` 运行,再切到 `sqlite`。
|
||||||
|
### 测试、CI/CD 与运维验证
|
||||||
|
|
||||||
|
**测试**:仓库存在 `tests/test_trend_engine.py`,覆盖 μ 计算、死盘判定、预报崩盘提示、趋势方向等核心逻辑(通过 patch 隔离外部依赖)。
|
||||||
|
**CI/CD**:已补齐 GitHub Actions 工作流,至少覆盖 Python lint/test、前端 build、Docker build 三条门禁;当前缺口不再是“有没有 CI”,而是“是否已在 GitHub 分支保护中强制执行”。
|
||||||
|
**运维验收**:除 `scripts/validate_frontend_cache.sh` 外,现已新增配置校验、运行态迁移/核验、EMOS rollout 判断等脚本,并提供 `/healthz`、`/api/system/status`、`/metrics` 作为基础观测入口。
|
||||||
|
**部署/更新**:Compose 用于启动服务;另有 `update.sh` 通过 `pkill` + `nohup` 重启 bot 与 web。
|
||||||
|
## 优势与薄弱点
|
||||||
|
|
||||||
|
### 优势
|
||||||
|
|
||||||
|
**产品闭环完整、目标明确**:从“天气→结算→市场→错价信号→付费体系(订阅/积分/链上支付)”形成可商业化闭环,并在 README 清晰列出当前产品状态(订阅、积分抵扣、链上支付、自动补单等已上线)。
|
||||||
|
**复用一套分析内核服务多端**:趋势/概率/DEB 等核心逻辑被抽成分析模块,并被 web 与 bot 共用,避免“两套逻辑漂移”。
|
||||||
|
**面向外部 API 的工程防护意识较强**:Open-Meteo 429 冷却期、最小调用间隔、磁盘缓存、缓存 TTL 等措施表明作者已遭遇并处理速率限制与冷启动问题。 同时 AviationWeather 官方文档也明确建议控制频率并可使用 cache 文件降低负载,项目后续可进一步对齐最佳实践。
|
||||||
|
**支付侧有“事件监听 + 确认补单”的双通路**:支付链路天然存在“交易 pending / RPC 延迟 / 日志索引不完整”等问题,项目通过 event loop 与 confirm loop 双机制提升最终一致性。
|
||||||
|
### 薄弱点与风险
|
||||||
|
|
||||||
|
**核心文件过大问题已明显缓解,但边界仍需继续稳定**:`WeatherDataCollector` 与 `web/app.py` 的超大文件问题已完成第一阶段拆分;当前风险已从“文件过大”转为“跨模块兼容与边界稳定性”,例如旧调用路径、兼容导出、跨层 helper 仍需持续清理。
|
||||||
|
**可复现性已从“缺模板”进入“模板与生产对齐”的阶段**:`.env.example`、`.env.secrets.example`、中文配置文档、前端部署文档、运行时配置校验器都已存在;当前风险主要在于线上历史 `.env` 与新模板并存、旧变量命名残留、以及密钥轮换与分层是否真正落实。
|
||||||
|
**CI 已建立,但组织级质量门禁未必完全收口**:CI 现已覆盖 Python、前端与 Docker build。当前问题不再是“缺 CI”,而是是否把这些 status check 绑定到 `main` 保护策略,以及是否逐步引入更严格的 pre-merge 审查。
|
||||||
|
**运行态状态/缓存迁移仍处于过渡期**:`daily_records`、`telegram_alert_state`、`probability_training_snapshots`、`open_meteo` 缓存已经支持 SQLite,并有迁移/校验脚本;但在正式切到 `sqlite` 主读路径前,仍需经历一段 dual 双写验证期。这是当前最需要谨慎处理的工程性风险之一。
|
||||||
|
**第三方服务合规与稳定性风险**:
|
||||||
|
项目强依赖外部 API(Open-Meteo、AviationWeather、NWS、HKO、CWA、Polymarket、Supabase)。其中 AviationWeather Data API 有明确速率限制;Polymarket 官方说明 Gamma/Data/CLOB 三套 API 分属不同域,CLOB 交易端点需鉴权且策略可能变化;Supabase 明确强调 `service_role`/secret keys 绝不可暴露。若缺乏集中治理(重试/退避/熔断/降级/配额监控/密钥轮换),稳定性与合规不可控。
|
||||||
|
**可观测性已起步,但仍不构成完整监控体系**:项目现在已有 `/healthz`、`/api/system/status`、`/metrics`,并为 HTTP 与关键第三方源增加了轻量指标;但仍缺少 Prometheus/Grafana 级别的外部抓取、告警阈值、趋势面板和运行日报。这部分现在属于“已开始,不算完成”。
|
||||||
|
**EMOS 已完成工程接入,但未完成生产发布**:EMOS/CRPS 校准、shadow 观测、rollout report、上线门禁都已实现;当前真实门禁结果为 `hold`,阻塞原因是 shadow bucket brier 明显退化。因此概率引擎标准化并非未做,而是“工程完成、发布未通过”。
|
||||||
|
**许可证/商业使用的潜在冲突点**:仓库自身是 MIT,但如果未来尝试引入外部 AI 预报模型,需要非常谨慎:GraphCast 仓库代码 Apache-2.0,但权重使用 CC BY-NC-SA 4.0(非商业),Pangu-Weather 权重同样 BY-NC-SA 且明确禁止商业用途;不加区分地把这些模型用于付费产品会留下法律风险。
|
||||||
|
## 对标分析
|
||||||
|
|
||||||
|
为满足“至少 3 个相似开源项目或近期论文”对标,本报告选择三类代表:
|
||||||
|
1)**AI 气象预报模型**(GraphCast / FourCastNet / Pangu-Weather):用于评估“若 PolyWeather 未来扩展到更强预测能力”的技术与许可边界;
|
||||||
|
2)**概率后处理方法**(EMOS):作为 PolyWeather 概率引擎的更标准化替代/对照;
|
||||||
|
3)**预测市场 API 客户端生态**(Polymarket/py-clob-client、aiopolymarket):用于评估市场层的工程选型。
|
||||||
|
### 关键对比表
|
||||||
|
|
||||||
|
| 项目/论文 | 解决的问题 | 输出形态 | 性能/效果(公开描述) | 易用性与依赖 | 许可证要点 |
|
||||||
|
| --------------------------------------------------------- | ---------------------------------------------------- | ------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------- |
|
||||||
|
| **PolyWeather**(本仓库) | 温度结算市场气象情报:多源→概率桶→错价扫描→订阅/支付 | 生产级应用(Web+Bot+API+支付) | 以工程能力为主;内置 DEB、概率桶、死盘判定、市场扫描;覆盖 20 城市。 | 主要依赖外部 API;Docker Compose 一键启动。 | 仓库 MIT;Open-Core(部分生产规则私有)。 |
|
||||||
|
| **GraphCast**(google-deepmind/graphcast) | 10 天全球中期预报(ML 替代/增强 NWP) | 模型代码+权重+notebooks | 论文与介绍提到在大量指标上优于主流确定性系统;仓库提供预训练权重与示例数据入口,并提示 ERA5/HRES 数据条款需另行遵守。 | 完整训练需 ERA5 等;更适合科研/平台级推理,不是产品级 BFF。 | 代码 Apache-2.0;权重 CC BY-NC-SA 4.0(商业限制)。 |
|
||||||
|
| **FourCastNet**(NVlabs/FourCastNet) | 高分辨率 data-driven 全球预报(AFNO/ViT) | 模型训练/推理代码+数据/权重链接 | README 描述:0.25° 分辨率、周尺度推理非常快,并可做大规模集合;适合平台型预报。 | 训练/数据依赖大(ERA5 子集 TB 级);工程集成成本高。 | BSD 3-Clause(代码)。 |
|
||||||
|
| **Pangu-Weather**(198808xc/Pangu-Weather + Nature 论文) | 3D Transformer 架构的中期全球预报 | ONNX 推理代码+预训练模型 | Nature 论文称在 reanalysis 上对比 IFS 有更强确定性预报表现,并强调速度优势;仓库提供 ONNX 推理与 lite 版训练说明。 | 模型文件大(多份 ~GB 级),训练资源需求高;更适合科研推理或内部平台。 | 权重 BY-NC-SA 4.0、明确禁止商业用途。 |
|
||||||
|
| **EMOS**(Gneiting & Raftery 等) | 集合预报校准:纠偏与解决 underdispersion | 统计后处理方法 | 提出用回归形式输出概率分布(常见为高斯),并以 CRPS 等指标拟合,属于成熟的气象概率校准路线。 | 易落地:对 PolyWeather 而言只需“历史库+拟合器”。 | 方法论(论文);可自行实现,无额外许可约束(注意论文版权)。 |
|
||||||
|
| **Polymarket/py-clob-client** | Polymarket CLOB 读写 SDK | Python SDK | 官方 SDK,支持 read-only 与交易接口;协议与端点在官方文档中给出。 | 易用,适合增强 PolyWeather 市场层。 | MIT。 |
|
||||||
|
| **aiopolymarket** | Polymarket APIs 的 async 客户端 | Python async 客户端 | 强调类型安全(Pydantic)、自动分页、重试与 backoff,适合高并发与健壮性诉求。 | 适合替换/补强当前同步 requests 与自定义缓存。 | 以仓库许可为准(此处建议上线前核验)。 |
|
||||||
|
|
||||||
|
**对标结论**:PolyWeather 与这类“全球 AI 预报模型”不在同一层级:PolyWeather 是“面向结算市场的产品化情报系统”,其价值核心是**将预测转成可交易/可结算的决策信息**。短中期内更高 ROI 的方向不是“自训大模型”,而是把现有“采集+后处理+市场映射”的链路做成**可复现、可观测、可评测、可扩展**的工程平台;在许可合规前提下,再评估引入外部模型推理作为额外信号源。
|
||||||
|
## 优先级改进建议
|
||||||
|
|
||||||
|
下表按截至 `2026-03-21` 的真实状态重排优先级。已完成项不再继续列为“待做”,只保留当前仍需推进的事项。
|
||||||
|
| 优先级 | 改进项 | 预估工作量 | 主要收益 | 主要风险 | 可执行步骤(建议顺序) |
|
||||||
|
| ------ | --------------------------------------------------------------------------------------------------------------------------------- | -------------------: | ------------------------------------------------------------------- | ------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
|
||||||
|
| 高 | **完成 SQLite 迁移切换与验收**:从 `dual` 过渡到 `sqlite` 主读路径 | 2–5 天 | 真正关闭 JSON/JSONL 并发一致性风险;状态/缓存统一入库 | 迁移校验不充分会导致线上行为漂移 | 1) 线上部署新代码 → 2) 执行迁移与校验脚本 → 3) `dual` 运行至少 24–48 小时 → 4) 校验 `/api/history`、bot 告警、snapshot、缓存都正常 → 5) 再切 `POLYWEATHER_STATE_STORAGE_MODE=sqlite` |
|
||||||
|
| 高 | **把轻量可观测性接入外部监控与告警**:围绕 `/metrics` 建立抓取、阈值与巡检 | 3–7 天 | 不再只靠日志定位问题;可以监控第三方源错误率、缓存命中与 HTTP 延迟 | 指标不分层会导致噪音高、告警无用 | 1) 抓取 `/metrics` → 2) 先围绕 HTTP、Open-Meteo、MGM、METAR 建立最小仪表板 → 3) 为 429/403/error/stale_cache 设阈值 → 4) 增加巡检脚本或告警通道 |
|
||||||
|
| 高 | **稳定 EMOS shadow 并收紧上线门禁** | 1–2 周 | 让概率引擎升级具备明确发布条件,避免拍脑袋切换 | 当前 shadow bucket brier 退化明显,存在误上线风险 | 1) 持续积累 snapshot 样本 → 2) 定期重训与生成 `evaluation_report` / `shadow_report` / `rollout_report` → 3) 重点压 `bucket_brier` 退化 → 4) 只有门禁从 `hold` 进入 `observe/promote` 后才考虑上线 |
|
||||||
|
| 中 | **市场层升级为 async + 类型安全**:引入 `aiopolymarket` 或在现有层加重试/backoff/连接池 | 4–7 天 | 行情层更稳,减少短时网络抖动;更易扩展更多市场/分页 | 依赖升级带来的行为差异 | 1) 把 requests.Session 替换为 aiohttp/httpx → 2) 在 Gamma/CLOB 调用侧实现指数退避 → 3) 引入 typed models,减少解析失败 |
|
||||||
|
| 中 | **支付合约从“最小可用”升级到“更强合约防护”** | 1–2 周 | 在已完成的链下审计与容灾之上,进一步收紧链上授权边界 | 合约升级需要重新部署、迁移配置并再次验证 | 1) 维持现有事件重放、SQLite 审计、多 RPC fallback → 2) 升级合约到 SafeERC20 + Pausable → 3) 评估链上 plan/amount/token 绑定或 EIP-712 签名校验 → 4) 迁移后更新 PolygonScan 验证与支付审计文档 |
|
||||||
|
| 中 | **将 CI 与分支保护/发布流程真正绑定** | 1–3 天 | 让现有 CI 从“存在”变成“强制门禁” | 历史分支/热修流程可能受影响 | 1) GitHub `main` 开启 required checks → 2) 把 release/tag 流程绑定 CI → 3) 明确热修例外流程 |
|
||||||
|
| 低 | **引入外部 AI 预报模型作为附加信号**(GraphCast/FourCastNet/Pangu-Weather 等) | 2–6 周(取决于范围) | 可能提升极端/中期预测能力与差异化 | **商业许可限制**(多为 CC BY-NC-SA/禁止商业)与算力成本 | 1) 先做合规评审(权重许可/数据条款)→ 2) 仅在研究/非商业环境评估 → 3) 若要商用,优先选择可商用权重或自研/购买授权 |
|
||||||
|
|
||||||
|
### 文档、测试与贡献流程的具体补强建议(落到仓库层面)
|
||||||
|
|
||||||
|
1)**文档体系**:保留现有中文 API/TechDebt 文档的同时,增加三份“高价值”文档:
|
||||||
|
(a)《运行与配置手册》:按环境(本地/测试/VPS/生产)列必需变量、默认值、敏感等级;(b)《数据源与合规说明》:列出 Open-Meteo、AviationWeather、NWS、HKO、CWA、Polymarket、Supabase 的使用条款要点、速率限制与降级策略(例如 AviationWeather 明确建议降低请求频率并提供 cache 文件)。 (c)《故障排查 Runbook》:429、支付 pending、市场扫描 miss、前端缓存异常等典型故障处理。
|
||||||
|
2)**测试金字塔**:在现有 `trend_engine` 单测基础上,补齐:
|
||||||
|
(a)天气 provider 的“录制回放”测试(VCR 思路:固定响应→确保解析稳定);(b)市场层的契约测试(Gamma/CLOB schema 变更时提前失败);(c)支付链路的本地链集成测试(Hardhat/Anvil + 事件扫描回放)。这些测试能把“外部依赖漂移”尽量转成可控的回归失败。
|
||||||
|
3)**贡献工作流**:引入 `CONTRIBUTING.md`(分支策略、PR 模板、变更日志、版本号策略)、`CODEOWNERS`(核心模块审查人)、`SECURITY.md`(漏洞披露与密钥处理),并把静态检查(ruff/eslint)作为 pre-commit + CI 必过项。
|
||||||
|
## 建议实验与基准
|
||||||
|
|
||||||
|
PolyWeather 的评测应围绕“结算场景”而非传统数值天气预报所有变量。建议建立两类基准:**气象预测基准(结算导向)**与**市场信号基准(交易导向)**。
|
||||||
|
### 气象预测与概率校准基准
|
||||||
|
|
||||||
|
**数据集**(建议从现有生产数据演进)
|
||||||
|
1)`daily_records.json` 的历史快照:已包含多模型预报、`actual_high`、`deb_prediction`、`mu` 与概率快照字段,天然可转成评测数据(建议迁移到 DB 后做版本化导出)。
|
||||||
|
2)观测“真值”统一口径:对 METAR 城市用 AviationWeather Data API;对香港/台北等按结算源(HKO/CWA)作为真值,和项目当前逻辑一致。
|
||||||
|
**指标**
|
||||||
|
1)确定性误差:MAE、RMSE(按城市、按季节、按风险等级分组);
|
||||||
|
2)结算命中率:`WU_round(pred) == WU_round(actual)`(项目已有统计口径);
|
||||||
|
3)概率质量:Brier Score(对离散温度桶),以及建议补充 CRPS(连续变量概率评分,EMOS 体系常用)。
|
||||||
|
4)校准曲线:预测概率分箱的可靠性图(reliability diagram)与 Sharpness(分布集中度)。
|
||||||
|
**基线**
|
||||||
|
|
||||||
|
- Baseline A:Open-Meteo 当日最高温(或 forecast median)作为点预测;
|
||||||
|
- Baseline B:等权平均(DEB 在历史少时也会回退此策略);
|
||||||
|
- Baseline C:当前 DEB;
|
||||||
|
- Baseline D:EMOS(以 ensemble 均值/方差为输入,拟合 μ 与 σ,优化 CRPS)。
|
||||||
|
**预期结果(定性)**
|
||||||
|
|
||||||
|
- 若历史样本足够,DEB 应在“系统性偏差明显”的城市提升 MAE;
|
||||||
|
- EMOS 类方法通常能在概率校准(可靠性与 CRPS)上更稳定,尤其当 ensemble 信息可用(项目已接入 Open-Meteo ensemble/p10/p90)。
|
||||||
|
**算力**:以上评测全部可在 CPU 上完成;数据量按“20 城市 × 180 天”级别,pandas/duckdb 即可。若引入更复杂拟合(如分层贝叶斯/分位数回归),也通常不需要 GPU。
|
||||||
|
### 错价信号与市场有效性基准
|
||||||
|
|
||||||
|
**数据集**
|
||||||
|
|
||||||
|
- 保存每次扫描输出:`date/city/bucket/model_prob/market_price/liquidity/edge`,并加上未来 `settled_bucket` 作为标签;Polymarket 市场发现与报价来自 Gamma/CLOB(官方文档说明三套 API:Gamma/Data/CLOB)。
|
||||||
|
**指标**
|
||||||
|
|
||||||
|
- Signal 覆盖率:能否找到正确 market / bucket;
|
||||||
|
- Edge 稳健性:不同流动性分位的 edge 分布;
|
||||||
|
- 交易模拟(如需):在考虑滑点/手续费/成交概率下的期望收益(即使项目当前只读,也可以离线评估“若执行”会怎样)。
|
||||||
|
**基线**
|
||||||
|
|
||||||
|
- 简单策略:仅用市场中间价(不做模型)作为概率;
|
||||||
|
- 当前策略:模型概率 vs 市场概率 edge 阈值;
|
||||||
|
- 改进策略:引入“流动性/盘口深度/波动”作为信号置信度(aiopolymarket/py-clob-client 提供更完整的盘口读取能力)。
|
||||||
|
**算力**:CPU 即可;关键在于数据采样与回放。
|
||||||
|
## 路线图与风险缓解
|
||||||
|
|
||||||
|
下面给出一个**12 周**(约 3 个月)的建议路线图,按“可稳定交付的工程里程碑”组织;人力以“1 名后端/数据工程 + 1 名前端(可兼职)+ 0.5 名链上工程(按需)”估算。
|
||||||
|
| 时间窗 | 里程碑 | 交付物 | 资源/备注 |
|
||||||
|
| ----------- | ----------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------- | -------------------------------------- |
|
||||||
|
| 第 1–2 周 | 工程地基:CI + 规范 + 配置可复现 | GitHub Actions;ruff/eslint;pytest 可一键跑;`.env.example`;敏感项分级说明(尤其 Supabase service role key 不可暴露)。 | 后端为主;前端补 eslint/typecheck |
|
||||||
|
| 第 3–5 周 | 核心模块解耦:采集 Provider 化 + API 分层 | provider 接口与实现;`web/app.py` 拆分路由与服务;核心 schema(Pydantic) | 风险:行为漂移;用回放测试压住 |
|
||||||
|
| 第 6–8 周 | 状态/缓存统一 + 可观测性 | `daily_records/open_meteo_cache` 迁移 DB;指标(请求量/429/延迟/命中率);告警阈值 | 可先用 SQLite/Redis,后续再上 Postgres |
|
||||||
|
| 第 9–10 周 | 评测体系上线 | 离线评测脚本(MAE/RMSE/WU-hit/Brier/CRPS);日报/周报自动生成 | 直接基于项目现有字段扩展 |
|
||||||
|
| 第 11–12 周 | 概率引擎升级(可选)+ 市场层健壮性增强 | EMOS/CRPS 拟合的 shadow 输出;Gamma/CLOB 客户端增强(async、重试、分页) | 以“小步可回滚”为原则,避免一次性替换 |
|
||||||
|
|
||||||
|
### 主要风险与缓解策略
|
||||||
|
|
||||||
|
**外部 API 速率限制/格式变更**:AviationWeather 明确 rate limit 与建议使用 cache 文件;Open-Meteo 也可能在不同端点策略上变化。缓解:统一“请求预算”与退避/熔断;关键响应做 schema 校验与回放测试;对高频数据优先拉取官方 cache/批量接口(若可用)。
|
||||||
|
**密钥泄露与权限滥用**:Supabase 明确强调 `service_role` 属高权限密钥,绝不可出现在前端或公开环境。缓解:密钥分级、CI secret scan、运行时最小权限、日志脱敏。
|
||||||
|
**支付链路最终一致性与链上不确定性**:链上事件索引延迟、RPC 不稳定、交易确认数不足都会导致误判。当前项目已经补齐“事件监听 + 确认补单”双路径、事件重放脚本、SQLite 审计事件与多 RPC fallback;现阶段的主要剩余风险不再是“没有防护”,而是链上合约仍为最小实现,owner 为单地址管理,且没有 pause 开关与 SafeERC20。
|
||||||
|
**引入外部 AI 预报模型的商业合规风险**:GraphCast/Pangu-Weather 的权重许可均带非商业限制(CC BY-NC-SA/BY-NC-SA);若 PolyWeather 是付费产品,必须先做法务与授权评审。缓解:只在研究环境评估;商用优先选择可商用权重/购买授权/自研。
|
||||||
|
**Open-Core 边界导致的“公开仓库与生产行为不一致”**:README 明确生产存在私有风控与阈值。缓解:把“公开核心”的可复现与评测做扎实(接口/数据 schema/测试/评测),私有策略只作为可插拔 policy layer 接入。
|
||||||
|
## 参考链接
|
||||||
|
|
||||||
|
- PolyWeather 仓库(本次评估对象):https://github.com/yangyuan-zhen/PolyWeather
|
||||||
|
- Polymarket API 文档(Gamma/Data/CLOB):https://docs.polymarket.com/api-reference
|
||||||
|
- AviationWeather Data API(METAR 等):https://aviationweather.gov/data/api/
|
||||||
|
- Open-Meteo Docs(Forecast):https://open-meteo.com/en/docs
|
||||||
|
- Open-Meteo Docs(Ensemble):https://open-meteo.com/en/docs/ensemble-api
|
||||||
|
- Supabase REST API:https://supabase.com/docs/guides/api
|
||||||
|
- Supabase API keys(service_role 风险):https://supabase.com/docs/guides/api/api-keys
|
||||||
|
- GraphCast(代码 Apache-2.0;权重 CC BY-NC-SA):https://github.com/google-deepmind/graphcast
|
||||||
|
- FourCastNet(BSD-3):https://github.com/NVlabs/FourCastNet
|
||||||
|
- Pangu-Weather(权重 BY-NC-SA,禁商用):https://github.com/198808xc/Pangu-Weather
|
||||||
|
- Polymarket 官方 Python CLOB SDK(MIT):https://github.com/Polymarket/py-clob-client
|
||||||
|
- aiopolymarket(async、类型安全):https://github.com/the-odds-company/aiopolymarket
|
||||||
|
|
||||||
|
|
||||||
@@ -0,0 +1,244 @@
|
|||||||
|
# PolyWeather 支付审计与防护说明
|
||||||
|
|
||||||
|
最后更新:`2026-03-21`
|
||||||
|
|
||||||
|
## 1. 当前已落地的防护
|
||||||
|
|
||||||
|
### 链下运行态
|
||||||
|
|
||||||
|
- 支付事件扫描与确认循环已把运行态写入 SQLite:
|
||||||
|
- `payment_runtime_state`
|
||||||
|
- `payment_audit_events`
|
||||||
|
- 关键循环现在会记录:
|
||||||
|
- `event_loop_started`
|
||||||
|
- `event_loop_cycle`
|
||||||
|
- `event_loop_error`
|
||||||
|
- `confirm_loop_started`
|
||||||
|
- `confirm_loop_cycle`
|
||||||
|
- `confirm_loop_error`
|
||||||
|
|
||||||
|
### 事件确认边界
|
||||||
|
|
||||||
|
- 后端只认链上 `OrderPaid` 事件。
|
||||||
|
- 前端提交 intent 不会直接视为支付完成。
|
||||||
|
- `confirm_loop` 会再次按链上交易与确认数校验 intent。
|
||||||
|
- 若确认失败,当前会明确把 intent / transaction 落为失败态,而不是长期停留在 `submitted`。
|
||||||
|
|
||||||
|
当前已显式识别的失败原因包括:
|
||||||
|
|
||||||
|
- `receiver_mismatch`
|
||||||
|
- `sender_mismatch`
|
||||||
|
- `event_mismatch`
|
||||||
|
- `tx_reverted`
|
||||||
|
|
||||||
|
### RPC 多节点容灾
|
||||||
|
|
||||||
|
- 支持 `POLYWEATHER_PAYMENT_RPC_URLS`
|
||||||
|
- 格式示例:
|
||||||
|
|
||||||
|
```env
|
||||||
|
POLYWEATHER_PAYMENT_RPC_URLS=https://polygon-rpc.com,https://polygon-bor-rpc.publicnode.com
|
||||||
|
```
|
||||||
|
|
||||||
|
- 启动时按顺序探活。
|
||||||
|
- 当前节点断连或收据查询失败时,会自动切换到下一个可用 RPC。
|
||||||
|
|
||||||
|
### 事件重放
|
||||||
|
|
||||||
|
- 已提供脚本:
|
||||||
|
- [replay_payment_events.py](/E:/web/PolyWeather/scripts/replay_payment_events.py)
|
||||||
|
|
||||||
|
用途:
|
||||||
|
- 审计某个区块范围内的 `OrderPaid`
|
||||||
|
- 事后补查漏单
|
||||||
|
- 排查 RPC 抖动导致的监听遗漏
|
||||||
|
|
||||||
|
命令示例:
|
||||||
|
|
||||||
|
```bash
|
||||||
|
python scripts/replay_payment_events.py --from-block 10000000 --to-block 10001000
|
||||||
|
```
|
||||||
|
|
||||||
|
### 运行态检查
|
||||||
|
|
||||||
|
- 已提供接口:
|
||||||
|
- `GET /api/payments/runtime`
|
||||||
|
|
||||||
|
可查看:
|
||||||
|
- checkout 配置摘要
|
||||||
|
- 当前活跃 RPC
|
||||||
|
- 候选 RPC 列表
|
||||||
|
- event loop 最新状态
|
||||||
|
- 最近审计事件
|
||||||
|
|
||||||
|
### Ops 事故单
|
||||||
|
|
||||||
|
现在 `/ops` 已提供单独的支付异常单列表,默认展示:
|
||||||
|
|
||||||
|
- `payment_intent_failed`
|
||||||
|
|
||||||
|
支持:
|
||||||
|
|
||||||
|
- 按 `reason` 过滤
|
||||||
|
- 标记已处理
|
||||||
|
|
||||||
|
这让下面这类事故不再需要翻日志定位:
|
||||||
|
|
||||||
|
- 已付款但未开通
|
||||||
|
- 打到旧收款地址
|
||||||
|
- 交易事件不匹配
|
||||||
|
|
||||||
|
## 2. 当前合约的授权边界
|
||||||
|
|
||||||
|
合约源码:
|
||||||
|
- [PolyWeatherCheckout.sol](/E:/web/PolyWeather/contracts/PolyWeatherCheckout.sol)
|
||||||
|
|
||||||
|
当前边界:
|
||||||
|
|
||||||
|
1. `owner`
|
||||||
|
- 可执行:
|
||||||
|
- `setTreasury`
|
||||||
|
- `setTokenAllowed`
|
||||||
|
|
||||||
|
2. 普通用户
|
||||||
|
- 只能调用:
|
||||||
|
- `pay(orderId, planId, amount, token)`
|
||||||
|
|
||||||
|
3. 代币边界
|
||||||
|
- 只有 `allowedToken[token] == true` 的 token 可支付
|
||||||
|
|
||||||
|
4. 订单边界
|
||||||
|
- 同一个 `orderId` 只能成功支付一次
|
||||||
|
|
||||||
|
## 3. 重入与重复支付判断
|
||||||
|
|
||||||
|
当前合约的 `pay` 逻辑顺序是:
|
||||||
|
|
||||||
|
1. 检查 token allowlist
|
||||||
|
2. 检查 `amount > 0`
|
||||||
|
3. 检查 `paidOrder[orderId] == false`
|
||||||
|
4. 先写入 `paidOrder[orderId] = true`
|
||||||
|
5. 再执行 `transferFrom`
|
||||||
|
6. 发出 `OrderPaid`
|
||||||
|
|
||||||
|
这意味着:
|
||||||
|
|
||||||
|
- 同一 `orderId` 的重复支付会被拦住
|
||||||
|
- 典型“转账外部调用后再回调重复执行同订单”的路径会被 `paidOrder` 状态挡住
|
||||||
|
|
||||||
|
但要注意:
|
||||||
|
|
||||||
|
- 当前合约没有 `Pausable`
|
||||||
|
- 当前合约没有 `SafeERC20`
|
||||||
|
- 当前合约没有在链上校验 `planId -> amount`
|
||||||
|
|
||||||
|
所以它属于:
|
||||||
|
- **最小可用支付合约**
|
||||||
|
- 不是“全功能强防护合约”
|
||||||
|
|
||||||
|
## 4. 当前静态审计结论
|
||||||
|
|
||||||
|
已提供脚本:
|
||||||
|
- [check_payment_contract_security.py](/E:/web/PolyWeather/scripts/check_payment_contract_security.py)
|
||||||
|
|
||||||
|
命令:
|
||||||
|
|
||||||
|
```bash
|
||||||
|
python scripts/check_payment_contract_security.py
|
||||||
|
```
|
||||||
|
|
||||||
|
输出会检查这些项目:
|
||||||
|
|
||||||
|
- 是否有 `onlyOwner`
|
||||||
|
- `setTreasury` / `setTokenAllowed` 是否受 owner 保护
|
||||||
|
- constructor / setter 是否检查零地址
|
||||||
|
- 是否校验 allowlist
|
||||||
|
- 是否校验 `amount > 0`
|
||||||
|
- 是否校验重复订单
|
||||||
|
- 是否在 `transferFrom` 前写入 `paidOrder`
|
||||||
|
- 是否有 pause 开关
|
||||||
|
- 是否使用 SafeERC20
|
||||||
|
- 是否在链上绑定套餐价格
|
||||||
|
|
||||||
|
## 5. 当前主要剩余风险
|
||||||
|
|
||||||
|
1. 单地址 owner
|
||||||
|
- 建议把 `owner` 迁移到多签钱包
|
||||||
|
|
||||||
|
2. 无暂停开关
|
||||||
|
- 发现紧急问题时,无法直接暂停 `pay`
|
||||||
|
|
||||||
|
3. 金额校验主要在链下
|
||||||
|
- 当前 `planId / amount / token` 绑定主要靠后端 intent 和确认逻辑
|
||||||
|
|
||||||
|
4. ERC20 兼容性假设
|
||||||
|
- 当前使用 `IERC20.transferFrom`
|
||||||
|
- 升级版合约更建议改为 OpenZeppelin `SafeERC20`
|
||||||
|
|
||||||
|
## 6. 推荐操作
|
||||||
|
|
||||||
|
### 每次支付配置变更后
|
||||||
|
|
||||||
|
执行:
|
||||||
|
|
||||||
|
```bash
|
||||||
|
python scripts/check_payment_contract_security.py
|
||||||
|
python scripts/replay_payment_events.py --from-block <from> --to-block <to>
|
||||||
|
```
|
||||||
|
|
||||||
|
### 线上巡检
|
||||||
|
|
||||||
|
执行:
|
||||||
|
|
||||||
|
```bash
|
||||||
|
curl http://127.0.0.1:8000/api/payments/runtime
|
||||||
|
```
|
||||||
|
|
||||||
|
重点看:
|
||||||
|
|
||||||
|
- `rpc.active_rpc_url`
|
||||||
|
- `rpc.configured_rpc_count`
|
||||||
|
- `event_loop_state.last_scanned_block`
|
||||||
|
- `recent_audit_events`
|
||||||
|
|
||||||
|
如果你在 `/ops` 或脚本里看到:
|
||||||
|
|
||||||
|
- `receiver_mismatch`
|
||||||
|
|
||||||
|
其含义通常不是“缓存没刷新”,而是:
|
||||||
|
|
||||||
|
- 用户这笔交易的 `to` 地址不是当前生产收款合约
|
||||||
|
- 常见原因是旧页面、旧 deployment、旧钱包会话,或历史收款地址仍被命中
|
||||||
|
|
||||||
|
此时应优先做:
|
||||||
|
|
||||||
|
1. 确认链上真实 `to` 地址
|
||||||
|
2. 确认当前 `/api/payments/config` 返回的 `receiver_contract`
|
||||||
|
3. 如确已收款,再走人工恢复或补开订阅
|
||||||
|
|
||||||
|
### 按邮箱恢复最近支付
|
||||||
|
|
||||||
|
已提供脚本:
|
||||||
|
|
||||||
|
- [reconcile_subscription_by_email.py](/E:/web/PolyWeather/scripts/reconcile_subscription_by_email.py)
|
||||||
|
|
||||||
|
命令:
|
||||||
|
|
||||||
|
```bash
|
||||||
|
docker compose exec polyweather_web python scripts/reconcile_subscription_by_email.py --email user@example.com
|
||||||
|
```
|
||||||
|
|
||||||
|
适用场景:
|
||||||
|
|
||||||
|
- 用户声称已付费但未开通
|
||||||
|
- 需要快速确认最近一笔 intent 是否能自动恢复
|
||||||
|
|
||||||
|
## 7. 下一版合约建议
|
||||||
|
|
||||||
|
如果后续升级合约,优先级建议:
|
||||||
|
|
||||||
|
1. `Ownable` -> 多签 owner
|
||||||
|
2. `SafeERC20`
|
||||||
|
3. `Pausable`
|
||||||
|
4. 链上 plan/amount/token 绑定
|
||||||
|
5. 必要时增加 rescue/sweep 能力
|
||||||
@@ -0,0 +1,197 @@
|
|||||||
|
# PolyWeather 支付合约升级方案(V2)
|
||||||
|
|
||||||
|
最后更新:`2026-03-20`
|
||||||
|
|
||||||
|
## 1. 目标
|
||||||
|
|
||||||
|
本次 V2 方案对应三个明确目标:
|
||||||
|
|
||||||
|
1. 把 `owner` 迁到多签地址
|
||||||
|
2. 升级到 `SafeERC20 + Pausable + ReentrancyGuard`
|
||||||
|
3. 把“链上 plan 绑定”和“EIP-712 授权支付”都纳入设计,而不是只在链下校验
|
||||||
|
|
||||||
|
合约草案:
|
||||||
|
- [PolyWeatherCheckoutV2.sol](/E:/web/PolyWeather/contracts/PolyWeatherCheckoutV2.sol)
|
||||||
|
|
||||||
|
构造参数编码脚本:
|
||||||
|
- [encode_checkout_v2_constructor.py](/E:/web/PolyWeather/scripts/encode_checkout_v2_constructor.py)
|
||||||
|
|
||||||
|
## 2. V2 新增能力
|
||||||
|
|
||||||
|
### 多签 owner
|
||||||
|
|
||||||
|
V2 constructor 不再默认 `msg.sender` 作为唯一 owner,而是显式传入:
|
||||||
|
|
||||||
|
- `initialOwner`
|
||||||
|
- `initialTreasury`
|
||||||
|
- `initialSigner`
|
||||||
|
|
||||||
|
这意味着:
|
||||||
|
- 部署后可直接把多签地址设为 `owner`
|
||||||
|
- 不需要先单签部署再补 transfer
|
||||||
|
|
||||||
|
### SafeERC20
|
||||||
|
|
||||||
|
V2 内置最小 `SafeERC20` 封装:
|
||||||
|
|
||||||
|
- `safeTransferFrom`
|
||||||
|
- `safeTransfer`
|
||||||
|
|
||||||
|
相比直接依赖 `IERC20.transferFrom -> bool`:
|
||||||
|
- 对非标准 ERC20 的兼容性更稳
|
||||||
|
- 出错边界更明确
|
||||||
|
|
||||||
|
### Pausable
|
||||||
|
|
||||||
|
V2 增加:
|
||||||
|
|
||||||
|
- `pause()`
|
||||||
|
- `unpause()`
|
||||||
|
|
||||||
|
支付入口:
|
||||||
|
|
||||||
|
- `payPlan(...)`
|
||||||
|
- `payAuthorized(...)`
|
||||||
|
|
||||||
|
都受 `whenNotPaused` 保护。
|
||||||
|
|
||||||
|
一旦发现:
|
||||||
|
- treasury 配置错误
|
||||||
|
- token allowlist 配置错误
|
||||||
|
- 签名器异常
|
||||||
|
- 链上风控问题
|
||||||
|
|
||||||
|
可以直接暂停支付入口。
|
||||||
|
|
||||||
|
### ReentrancyGuard
|
||||||
|
|
||||||
|
V2 增加 `nonReentrant`,保护:
|
||||||
|
|
||||||
|
- `payPlan`
|
||||||
|
- `payAuthorized`
|
||||||
|
- `rescueToken`
|
||||||
|
|
||||||
|
虽然当前订单去重已经能挡住典型重复支付路径,但 `ReentrancyGuard` 仍然是更稳的防线。
|
||||||
|
|
||||||
|
### 链上套餐绑定
|
||||||
|
|
||||||
|
V2 新增:
|
||||||
|
|
||||||
|
- `setPlan(planId, token, amount, active)`
|
||||||
|
- `planConfig[planId][token]`
|
||||||
|
|
||||||
|
正式支付入口 `payPlan` 会:
|
||||||
|
|
||||||
|
1. 校验 token 已 allowed
|
||||||
|
2. 校验 `planId + token` 的 plan 已 active
|
||||||
|
3. 从链上读取 amount
|
||||||
|
4. 按链上配置收款
|
||||||
|
|
||||||
|
这意味着:
|
||||||
|
- `planId / amount / token` 绑定不再完全依赖链下
|
||||||
|
|
||||||
|
### EIP-712 授权支付
|
||||||
|
|
||||||
|
V2 同时保留第二条入口:
|
||||||
|
|
||||||
|
- `payAuthorized(...)`
|
||||||
|
|
||||||
|
它适合:
|
||||||
|
- 临时折扣
|
||||||
|
- 特殊活动价
|
||||||
|
- 不想每次都上链改 `setPlan`
|
||||||
|
|
||||||
|
校验字段包括:
|
||||||
|
|
||||||
|
- `orderId`
|
||||||
|
- `payer`
|
||||||
|
- `planId`
|
||||||
|
- `token`
|
||||||
|
- `amount`
|
||||||
|
- `nonce`
|
||||||
|
- `deadline`
|
||||||
|
|
||||||
|
签名人地址由:
|
||||||
|
|
||||||
|
- `signer`
|
||||||
|
|
||||||
|
统一控制。
|
||||||
|
|
||||||
|
## 3. 两条支付路径怎么选
|
||||||
|
|
||||||
|
### 路线 A:链上套餐绑定优先
|
||||||
|
|
||||||
|
优点:
|
||||||
|
- 最直观
|
||||||
|
- 合约级约束最强
|
||||||
|
- 更容易审计
|
||||||
|
|
||||||
|
缺点:
|
||||||
|
- 套餐改价需要 owner 交易
|
||||||
|
|
||||||
|
适合:
|
||||||
|
- 月付/季付/年付这类稳定商品
|
||||||
|
|
||||||
|
### 路线 B:EIP-712 授权优先
|
||||||
|
|
||||||
|
优点:
|
||||||
|
- 活动价灵活
|
||||||
|
- 不必每次改链上 plan
|
||||||
|
|
||||||
|
缺点:
|
||||||
|
- 需要管理 signer 密钥
|
||||||
|
- 风险从 owner 单点,部分转移到 signer 运维
|
||||||
|
|
||||||
|
适合:
|
||||||
|
- 促销
|
||||||
|
- 临时折扣
|
||||||
|
- 白名单价格
|
||||||
|
|
||||||
|
### 当前建议
|
||||||
|
|
||||||
|
生产建议不是二选一,而是:
|
||||||
|
|
||||||
|
1. **稳定套餐** 走 `payPlan`
|
||||||
|
2. **特殊场景** 走 `payAuthorized`
|
||||||
|
|
||||||
|
这样:
|
||||||
|
- 主流程更稳
|
||||||
|
- 特殊价仍保留灵活性
|
||||||
|
|
||||||
|
## 4. 推荐迁移步骤
|
||||||
|
|
||||||
|
1. 先部署 V2 到测试环境
|
||||||
|
2. `owner` 直接用多签地址
|
||||||
|
3. 配置 `treasury`
|
||||||
|
4. 配置 `allowedToken`
|
||||||
|
5. 配置 `planId/token/amount`
|
||||||
|
6. 仅在需要活动价时再配置 `signer`
|
||||||
|
7. 用事件重放脚本和运行态接口验证
|
||||||
|
8. 再切生产前端/后端配置到新 `receiver_contract`
|
||||||
|
|
||||||
|
## 5. 构造参数编码
|
||||||
|
|
||||||
|
示例:
|
||||||
|
|
||||||
|
```bash
|
||||||
|
python scripts/encode_checkout_v2_constructor.py \
|
||||||
|
--owner 0xYourMultiSig \
|
||||||
|
--treasury 0xYourTreasury \
|
||||||
|
--signer 0xYourBackendSigner
|
||||||
|
```
|
||||||
|
|
||||||
|
## 6. 当前判断
|
||||||
|
|
||||||
|
V2 已经把这三件事做成了明确方案:
|
||||||
|
|
||||||
|
1. 多签 owner
|
||||||
|
2. SafeERC20 + Pausable + ReentrancyGuard
|
||||||
|
3. 链上 plan 绑定 + EIP-712 授权
|
||||||
|
|
||||||
|
它现在是**升级草案**,不是现网已部署合约。
|
||||||
|
|
||||||
|
如果要真正上线,下一步就是:
|
||||||
|
|
||||||
|
1. 做一次测试网或本地链验证
|
||||||
|
2. 更新 PolygonScan 验证文档
|
||||||
|
3. 修改后端 `receiver_contract` 配置
|
||||||
@@ -0,0 +1,76 @@
|
|||||||
|
# PolyWeatherCheckout PolygonScan 验证(v1.5.1)
|
||||||
|
|
||||||
|
最后更新:`2026-03-20`
|
||||||
|
|
||||||
|
## 1. 目标
|
||||||
|
|
||||||
|
对生产收款合约完成源码验证,降低钱包风控误报并提升用户信任。
|
||||||
|
|
||||||
|
当前说明:
|
||||||
|
|
||||||
|
- **现网合约仍为 V1**:`contracts/PolyWeatherCheckout.sol`
|
||||||
|
- **V2 只是升级草案**:`contracts/PolyWeatherCheckoutV2.sol`
|
||||||
|
- 当前 PolygonScan 验证流程默认针对 V1
|
||||||
|
|
||||||
|
## 2. 当前部署参数(示例)
|
||||||
|
|
||||||
|
- 链:Polygon Mainnet(`chainId=137`)
|
||||||
|
- 合约:`PolyWeatherCheckout`
|
||||||
|
- 编译器:`v0.8.24+commit.e11b9ed9`
|
||||||
|
- 优化器:`Enabled`,`runs=200`
|
||||||
|
|
||||||
|
> 实际地址以线上配置为准:`POLYWEATHER_PAYMENT_RECEIVER_CONTRACT`。
|
||||||
|
|
||||||
|
## 3. 构造参数编码
|
||||||
|
|
||||||
|
使用仓库脚本生成构造参数:
|
||||||
|
|
||||||
|
```bash
|
||||||
|
python scripts/encode_checkout_constructor.py \
|
||||||
|
--token 0x2791Bca1f2de4661ED88A30C99A7a9449Aa84174 \
|
||||||
|
--treasury 0xe581D578EF101c80e3F32263e97E6eA28A0B170e
|
||||||
|
```
|
||||||
|
|
||||||
|
将输出填入 PolygonScan 的 `Constructor Arguments ABI-encoded`。
|
||||||
|
|
||||||
|
## 4. PolygonScan 操作步骤
|
||||||
|
|
||||||
|
1. 打开合约页 -> `Contract` -> `Verify and Publish`。
|
||||||
|
2. 选择 `Solidity (Single file)`。
|
||||||
|
3. 粘贴 `contracts/PolyWeatherCheckout.sol` 源码。
|
||||||
|
4. 填写编译器/优化器参数。
|
||||||
|
5. 粘贴构造参数并提交。
|
||||||
|
|
||||||
|
## 5. 验证后检查
|
||||||
|
|
||||||
|
- `Read Contract`:可见 `owner / treasury / allowedToken / paidOrder`
|
||||||
|
- `Write Contract`:可见 `pay / setTreasury / setTokenAllowed`
|
||||||
|
- 标签显示 `Contract Source Code Verified`
|
||||||
|
|
||||||
|
## 6. 双币种开启(USDC + USDC.e)
|
||||||
|
|
||||||
|
验证后可通过 `setTokenAllowed` 开启两种代币:
|
||||||
|
|
||||||
|
- USDC.e: `0x2791Bca1f2de4661ED88A30C99A7a9449Aa84174`
|
||||||
|
- Native USDC: `0x3c499c542cef5e3811e1192ce70d8cc03d5c3359`
|
||||||
|
|
||||||
|
## 7. V2 说明(尚未部署)
|
||||||
|
|
||||||
|
如果后续升级到 V2,请改用:
|
||||||
|
|
||||||
|
```bash
|
||||||
|
python scripts/encode_checkout_v2_constructor.py \
|
||||||
|
--owner 0xYourMultiSig \
|
||||||
|
--treasury 0xYourTreasury \
|
||||||
|
--signer 0xYourBackendSigner
|
||||||
|
```
|
||||||
|
|
||||||
|
V2 相关文档:
|
||||||
|
|
||||||
|
- [PAYMENT_UPGRADE_V2_ZH.md](/E:/web/PolyWeather/docs/payments/PAYMENT_UPGRADE_V2_ZH.md)
|
||||||
|
- [PAYMENT_AUDIT_ZH.md](/E:/web/PolyWeather/docs/payments/PAYMENT_AUDIT_ZH.md)
|
||||||
|
|
||||||
|
## 8. 说明
|
||||||
|
|
||||||
|
- 源码验证能显著降低“欺诈/不可信”误报,但钱包风险缓存更新存在延迟。
|
||||||
|
- 生产商用环境可使用私有升级版合约;公开仓库保留标准实现与验证流程。
|
||||||
@@ -0,0 +1,46 @@
|
|||||||
|
# PolyWeather 侧边栏插件(MVP)
|
||||||
|
|
||||||
|
这是一个 Chrome / Edge 侧边栏扩展的 MVP,用于把 PolyWeather 右侧城市卡片移植到浏览器侧边栏中。
|
||||||
|
|
||||||
|
## 功能
|
||||||
|
|
||||||
|
- 侧边栏展示:
|
||||||
|
- 城市选择
|
||||||
|
- 风险徽章
|
||||||
|
- 城市档案(结算源 / 距离 / 观测更新时间 / 周边站点)
|
||||||
|
- 今日日内走势(简版 Canvas)
|
||||||
|
- 多日预报
|
||||||
|
- 快捷按钮:
|
||||||
|
- 今日日内分析
|
||||||
|
- 历史对账
|
||||||
|
- 打开完整网站分析
|
||||||
|
- 自动识别城市:
|
||||||
|
- 监听当前激活标签页 URL(例如 Polymarket `.../event/highest-temperature-in-ankara-...`)
|
||||||
|
- 自动将侧边栏城市切换为 URL 对应城市
|
||||||
|
- 设置页可配置:
|
||||||
|
- 网站基础地址
|
||||||
|
- API 基础地址
|
||||||
|
- Bearer Token(可选)
|
||||||
|
|
||||||
|
## 本地安装(开发者模式)
|
||||||
|
|
||||||
|
1. 打开 Chrome/Edge 扩展页面:
|
||||||
|
- Chrome:`chrome://extensions`
|
||||||
|
- Edge:`edge://extensions`
|
||||||
|
2. 打开“开发者模式”。
|
||||||
|
3. 选择“加载已解压的扩展程序”。
|
||||||
|
4. 选择目录:`extension/`。
|
||||||
|
5. 点击扩展图标,侧边栏会打开。
|
||||||
|
|
||||||
|
## 设置
|
||||||
|
|
||||||
|
首次建议打开扩展“选项页”并确认:
|
||||||
|
|
||||||
|
- `网站基础地址`:你的前端域名(例如 `https://polyweather-pro.vercel.app`)
|
||||||
|
- `API 基础地址`:你的后端 API 域名(若同域也可填前端域名)
|
||||||
|
- `Bearer Token`:后端开启鉴权时填写
|
||||||
|
|
||||||
|
## 说明
|
||||||
|
|
||||||
|
- 当前版本是 MVP,重点是“导流回站”,未接入支付链路。
|
||||||
|
- 若你的 API 做了严格鉴权,请先在设置页填写 token 再使用。
|
||||||
@@ -0,0 +1,6 @@
|
|||||||
|
chrome.runtime.onInstalled.addListener(() => {
|
||||||
|
chrome.sidePanel
|
||||||
|
.setPanelBehavior({ openPanelOnActionClick: true })
|
||||||
|
.catch(() => {});
|
||||||
|
});
|
||||||
|
|
||||||
Binary file not shown.
|
After Width: | Height: | Size: 87 KiB |
Binary file not shown.
|
After Width: | Height: | Size: 826 B |
Binary file not shown.
|
After Width: | Height: | Size: 2.7 KiB |
Binary file not shown.
|
After Width: | Height: | Size: 87 KiB |
@@ -0,0 +1,29 @@
|
|||||||
|
{
|
||||||
|
"manifest_version": 3,
|
||||||
|
"name": "PolyWeather Side Panel",
|
||||||
|
"description": "PolyWeather 右侧城市卡片(浏览器侧边栏)",
|
||||||
|
"version": "0.1.3",
|
||||||
|
"icons": {
|
||||||
|
"16": "icon-16.png",
|
||||||
|
"32": "icon-32.png",
|
||||||
|
"48": "icon-48.png",
|
||||||
|
"128": "icon-128.png"
|
||||||
|
},
|
||||||
|
"permissions": ["sidePanel", "storage", "tabs"],
|
||||||
|
"host_permissions": ["https://*/*", "http://*/*"],
|
||||||
|
"background": {
|
||||||
|
"service_worker": "background.js"
|
||||||
|
},
|
||||||
|
"action": {
|
||||||
|
"default_icon": {
|
||||||
|
"16": "icon-16.png",
|
||||||
|
"32": "icon-32.png",
|
||||||
|
"48": "icon-48.png"
|
||||||
|
},
|
||||||
|
"default_title": "Open PolyWeather"
|
||||||
|
},
|
||||||
|
"side_panel": {
|
||||||
|
"default_path": "sidepanel.html"
|
||||||
|
},
|
||||||
|
"options_page": "options.html"
|
||||||
|
}
|
||||||
@@ -0,0 +1,78 @@
|
|||||||
|
body {
|
||||||
|
margin: 0;
|
||||||
|
background: #0b1225;
|
||||||
|
color: #e5eefb;
|
||||||
|
font-family: "Inter", "Segoe UI", -apple-system, BlinkMacSystemFont, sans-serif;
|
||||||
|
}
|
||||||
|
|
||||||
|
.wrap {
|
||||||
|
max-width: 840px;
|
||||||
|
margin: 24px auto;
|
||||||
|
padding: 0 16px;
|
||||||
|
}
|
||||||
|
|
||||||
|
h1 {
|
||||||
|
margin: 0 0 18px;
|
||||||
|
font-size: 24px;
|
||||||
|
}
|
||||||
|
|
||||||
|
.field {
|
||||||
|
display: grid;
|
||||||
|
gap: 6px;
|
||||||
|
margin-bottom: 14px;
|
||||||
|
}
|
||||||
|
|
||||||
|
.field span {
|
||||||
|
color: #9fb0c9;
|
||||||
|
font-size: 13px;
|
||||||
|
}
|
||||||
|
|
||||||
|
input,
|
||||||
|
textarea {
|
||||||
|
width: 100%;
|
||||||
|
border: 1px solid rgba(255, 255, 255, 0.12);
|
||||||
|
border-radius: 10px;
|
||||||
|
background: #121c38;
|
||||||
|
color: #f1f5ff;
|
||||||
|
padding: 10px 12px;
|
||||||
|
font-size: 14px;
|
||||||
|
}
|
||||||
|
|
||||||
|
textarea {
|
||||||
|
resize: vertical;
|
||||||
|
}
|
||||||
|
|
||||||
|
.actions {
|
||||||
|
display: flex;
|
||||||
|
gap: 10px;
|
||||||
|
margin-top: 8px;
|
||||||
|
}
|
||||||
|
|
||||||
|
button {
|
||||||
|
border: 1px solid rgba(34, 211, 238, 0.4);
|
||||||
|
background: rgba(34, 211, 238, 0.12);
|
||||||
|
color: #ccf7ff;
|
||||||
|
border-radius: 9px;
|
||||||
|
padding: 10px 14px;
|
||||||
|
cursor: pointer;
|
||||||
|
font-weight: 700;
|
||||||
|
}
|
||||||
|
|
||||||
|
button.ghost {
|
||||||
|
border-color: rgba(99, 102, 241, 0.4);
|
||||||
|
background: rgba(99, 102, 241, 0.14);
|
||||||
|
color: #dbe4ff;
|
||||||
|
}
|
||||||
|
|
||||||
|
.result {
|
||||||
|
margin-top: 14px;
|
||||||
|
border: 1px solid rgba(255, 255, 255, 0.12);
|
||||||
|
background: rgba(255, 255, 255, 0.03);
|
||||||
|
border-radius: 10px;
|
||||||
|
padding: 12px;
|
||||||
|
white-space: pre-wrap;
|
||||||
|
word-break: break-word;
|
||||||
|
min-height: 56px;
|
||||||
|
color: #9fb0c9;
|
||||||
|
}
|
||||||
|
|
||||||
@@ -0,0 +1,42 @@
|
|||||||
|
<!doctype html>
|
||||||
|
<html lang="zh-CN">
|
||||||
|
<head>
|
||||||
|
<meta charset="UTF-8" />
|
||||||
|
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
|
||||||
|
<title>PolyWeather Extension Settings</title>
|
||||||
|
<link rel="stylesheet" href="./options.css" />
|
||||||
|
</head>
|
||||||
|
<body>
|
||||||
|
<main class="wrap">
|
||||||
|
<h1 id="settingsTitle">PolyWeather 侧边栏设置</h1>
|
||||||
|
|
||||||
|
<label class="field">
|
||||||
|
<span id="siteBaseLabel">Site Base URL</span>
|
||||||
|
<input id="siteBaseInput" type="text" placeholder="https://polyweather-pro.vercel.app" />
|
||||||
|
</label>
|
||||||
|
|
||||||
|
<label class="field">
|
||||||
|
<span id="apiBaseLabel">API Base URL</span>
|
||||||
|
<input id="apiBaseInput" type="text" placeholder="https://polyweather-pro.vercel.app" />
|
||||||
|
</label>
|
||||||
|
|
||||||
|
<label class="field">
|
||||||
|
<span id="tokenLabel">Bearer Token(可选)</span>
|
||||||
|
<textarea
|
||||||
|
id="tokenInput"
|
||||||
|
rows="3"
|
||||||
|
placeholder="公开模式留空即可;仅当后端返回 401 时再填写。"
|
||||||
|
></textarea>
|
||||||
|
</label>
|
||||||
|
|
||||||
|
<div class="actions">
|
||||||
|
<button id="saveBtn">保存</button>
|
||||||
|
<button id="testBtn" class="ghost">测试 /api/cities</button>
|
||||||
|
</div>
|
||||||
|
|
||||||
|
<pre id="resultBox" class="result"></pre>
|
||||||
|
</main>
|
||||||
|
|
||||||
|
<script src="./options.js"></script>
|
||||||
|
</body>
|
||||||
|
</html>
|
||||||
@@ -0,0 +1,145 @@
|
|||||||
|
const DEFAULT_CONFIG = {
|
||||||
|
apiBase: "https://polyweather-pro.vercel.app",
|
||||||
|
siteBase: "https://polyweather-pro.vercel.app",
|
||||||
|
authToken: "",
|
||||||
|
selectedCity: ""
|
||||||
|
};
|
||||||
|
const locale = String(navigator.language || "en").toLowerCase().startsWith("zh")
|
||||||
|
? "zh"
|
||||||
|
: "en";
|
||||||
|
const I18N = {
|
||||||
|
zh: {
|
||||||
|
settingsTitle: "PolyWeather 侧边栏设置",
|
||||||
|
tokenLabel: "Bearer Token(可选)",
|
||||||
|
tokenPlaceholder: "公开模式留空即可;仅当后端返回 401 时再填写。",
|
||||||
|
save: "保存",
|
||||||
|
test: "测试 /api/cities",
|
||||||
|
saved: "已保存。公开模式下 Token 可留空。",
|
||||||
|
connectOk: "连接成功,返回城市数",
|
||||||
|
tokenOptional: "Token 可留空",
|
||||||
|
testFailed: "测试失败",
|
||||||
|
backendAuthHint: "说明后端仍要求鉴权;若你要公开插件,请先放开 /api/cities 与 /api/city/*/detail。"
|
||||||
|
},
|
||||||
|
en: {
|
||||||
|
settingsTitle: "PolyWeather Side Panel Settings",
|
||||||
|
tokenLabel: "Bearer Token (Optional)",
|
||||||
|
tokenPlaceholder: "Leave empty in public mode; only fill it if the backend returns 401.",
|
||||||
|
save: "Save",
|
||||||
|
test: "Test /api/cities",
|
||||||
|
saved: "Saved. Token can be empty in public mode.",
|
||||||
|
connectOk: "Connected successfully, city count",
|
||||||
|
tokenOptional: "Token can be empty",
|
||||||
|
testFailed: "Test failed",
|
||||||
|
backendAuthHint: "The backend still requires auth. If the extension should be public, allow /api/cities and /api/city/*/detail."
|
||||||
|
}
|
||||||
|
};
|
||||||
|
|
||||||
|
function t(key) {
|
||||||
|
return I18N[locale][key] || I18N.zh[key] || key;
|
||||||
|
}
|
||||||
|
|
||||||
|
const apiBaseInput = document.getElementById("apiBaseInput");
|
||||||
|
const siteBaseInput = document.getElementById("siteBaseInput");
|
||||||
|
const tokenInput = document.getElementById("tokenInput");
|
||||||
|
const resultBox = document.getElementById("resultBox");
|
||||||
|
const settingsTitle = document.getElementById("settingsTitle");
|
||||||
|
const siteBaseLabel = document.getElementById("siteBaseLabel");
|
||||||
|
const apiBaseLabel = document.getElementById("apiBaseLabel");
|
||||||
|
const tokenLabel = document.getElementById("tokenLabel");
|
||||||
|
const saveBtn = document.getElementById("saveBtn");
|
||||||
|
const testBtn = document.getElementById("testBtn");
|
||||||
|
|
||||||
|
function normalizeBase(url) {
|
||||||
|
return String(url || "").trim().replace(/\/+$/, "");
|
||||||
|
}
|
||||||
|
|
||||||
|
function writeResult(text) {
|
||||||
|
resultBox.textContent = text;
|
||||||
|
}
|
||||||
|
|
||||||
|
function getStorage() {
|
||||||
|
return new Promise((resolve) => {
|
||||||
|
chrome.storage.sync.get(DEFAULT_CONFIG, (items) => resolve(items));
|
||||||
|
});
|
||||||
|
}
|
||||||
|
|
||||||
|
function setStorage(values) {
|
||||||
|
return new Promise((resolve) => {
|
||||||
|
chrome.storage.sync.set(values, resolve);
|
||||||
|
});
|
||||||
|
}
|
||||||
|
|
||||||
|
async function loadForm() {
|
||||||
|
const cfg = await getStorage();
|
||||||
|
apiBaseInput.value = cfg.apiBase || DEFAULT_CONFIG.apiBase;
|
||||||
|
siteBaseInput.value = cfg.siteBase || cfg.apiBase || DEFAULT_CONFIG.siteBase;
|
||||||
|
tokenInput.value = cfg.authToken || "";
|
||||||
|
}
|
||||||
|
|
||||||
|
async function saveForm() {
|
||||||
|
const next = {
|
||||||
|
apiBase: normalizeBase(apiBaseInput.value),
|
||||||
|
siteBase: normalizeBase(siteBaseInput.value || apiBaseInput.value),
|
||||||
|
authToken: String(tokenInput.value || "").trim()
|
||||||
|
};
|
||||||
|
await setStorage(next);
|
||||||
|
writeResult(t("saved"));
|
||||||
|
}
|
||||||
|
|
||||||
|
async function testApi() {
|
||||||
|
const apiBase = normalizeBase(apiBaseInput.value);
|
||||||
|
const authToken = String(tokenInput.value || "").trim();
|
||||||
|
try {
|
||||||
|
const headers = { Accept: "application/json" };
|
||||||
|
if (authToken) headers.Authorization = `Bearer ${authToken}`;
|
||||||
|
|
||||||
|
const res = await fetch(`${apiBase}/api/cities`, {
|
||||||
|
headers,
|
||||||
|
cache: "no-store"
|
||||||
|
});
|
||||||
|
const text = await res.text();
|
||||||
|
let data = null;
|
||||||
|
try {
|
||||||
|
data = text ? JSON.parse(text) : null;
|
||||||
|
} catch (_e) {
|
||||||
|
data = text;
|
||||||
|
}
|
||||||
|
if (!res.ok) {
|
||||||
|
throw new Error(`HTTP ${res.status}: ${typeof data === "string" ? data : JSON.stringify(data)}`);
|
||||||
|
}
|
||||||
|
const count = Array.isArray(data)
|
||||||
|
? data.length
|
||||||
|
: Array.isArray(data?.cities)
|
||||||
|
? data.cities.length
|
||||||
|
: 0;
|
||||||
|
writeResult(`${t("connectOk")}: ${count} (${t("tokenOptional")})`);
|
||||||
|
} catch (err) {
|
||||||
|
const msg = String(err?.message || err || "");
|
||||||
|
if (msg.includes("HTTP 401")) {
|
||||||
|
writeResult(`${t("testFailed")}: ${msg}\n${t("backendAuthHint")}`);
|
||||||
|
return;
|
||||||
|
}
|
||||||
|
writeResult(`${t("testFailed")}: ${msg}`);
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
function applyStaticTranslations() {
|
||||||
|
document.documentElement.lang = locale === "zh" ? "zh-CN" : "en";
|
||||||
|
if (settingsTitle) settingsTitle.textContent = t("settingsTitle");
|
||||||
|
if (tokenLabel) tokenLabel.textContent = t("tokenLabel");
|
||||||
|
if (tokenInput) tokenInput.placeholder = t("tokenPlaceholder");
|
||||||
|
if (saveBtn) saveBtn.textContent = t("save");
|
||||||
|
if (testBtn) testBtn.textContent = t("test");
|
||||||
|
if (siteBaseLabel) siteBaseLabel.textContent = "Site Base URL";
|
||||||
|
if (apiBaseLabel) apiBaseLabel.textContent = "API Base URL";
|
||||||
|
}
|
||||||
|
|
||||||
|
document.getElementById("saveBtn").addEventListener("click", () => {
|
||||||
|
void saveForm();
|
||||||
|
});
|
||||||
|
document.getElementById("testBtn").addEventListener("click", () => {
|
||||||
|
void testApi();
|
||||||
|
});
|
||||||
|
|
||||||
|
applyStaticTranslations();
|
||||||
|
void loadForm();
|
||||||
@@ -0,0 +1,325 @@
|
|||||||
|
:root {
|
||||||
|
--bg: #070d1f;
|
||||||
|
--panel: #0d152b;
|
||||||
|
--card: rgba(255, 255, 255, 0.03);
|
||||||
|
--border: rgba(255, 255, 255, 0.08);
|
||||||
|
--text: #e5eefb;
|
||||||
|
--muted: #8ba0be;
|
||||||
|
--cyan: #22d3ee;
|
||||||
|
--blue: #3b82f6;
|
||||||
|
--green: #34d399;
|
||||||
|
--amber: #f59e0b;
|
||||||
|
--red: #f87171;
|
||||||
|
}
|
||||||
|
|
||||||
|
* {
|
||||||
|
box-sizing: border-box;
|
||||||
|
}
|
||||||
|
|
||||||
|
body {
|
||||||
|
margin: 0;
|
||||||
|
background: radial-gradient(circle at top, #0c1735, var(--bg) 45%);
|
||||||
|
color: var(--text);
|
||||||
|
font-family: "Inter", "Segoe UI", -apple-system, BlinkMacSystemFont, sans-serif;
|
||||||
|
}
|
||||||
|
|
||||||
|
.panel {
|
||||||
|
position: relative;
|
||||||
|
min-height: 100vh;
|
||||||
|
padding: 14px;
|
||||||
|
}
|
||||||
|
|
||||||
|
.loading-overlay {
|
||||||
|
position: absolute;
|
||||||
|
inset: 0;
|
||||||
|
z-index: 20;
|
||||||
|
display: flex;
|
||||||
|
flex-direction: column;
|
||||||
|
align-items: center;
|
||||||
|
justify-content: center;
|
||||||
|
gap: 10px;
|
||||||
|
border-radius: 14px;
|
||||||
|
background: rgba(7, 13, 31, 0.7);
|
||||||
|
backdrop-filter: blur(2px);
|
||||||
|
}
|
||||||
|
|
||||||
|
.loading-spinner {
|
||||||
|
width: 28px;
|
||||||
|
height: 28px;
|
||||||
|
border-radius: 999px;
|
||||||
|
border: 3px solid rgba(34, 211, 238, 0.28);
|
||||||
|
border-top-color: #22d3ee;
|
||||||
|
animation: panel-loading-spin 0.75s linear infinite;
|
||||||
|
}
|
||||||
|
|
||||||
|
.loading-text {
|
||||||
|
color: #b7dcff;
|
||||||
|
font-size: 12px;
|
||||||
|
font-weight: 600;
|
||||||
|
}
|
||||||
|
|
||||||
|
.topbar {
|
||||||
|
display: grid;
|
||||||
|
grid-template-columns: auto 1fr auto;
|
||||||
|
gap: 8px;
|
||||||
|
align-items: center;
|
||||||
|
margin-bottom: 12px;
|
||||||
|
}
|
||||||
|
|
||||||
|
.freshness-hint {
|
||||||
|
margin: -2px 0 12px;
|
||||||
|
padding: 8px 10px;
|
||||||
|
border-radius: 10px;
|
||||||
|
border: 1px solid rgba(245, 158, 11, 0.28);
|
||||||
|
background: rgba(245, 158, 11, 0.08);
|
||||||
|
color: #fcd34d;
|
||||||
|
font-size: 12px;
|
||||||
|
line-height: 1.4;
|
||||||
|
}
|
||||||
|
|
||||||
|
.freshness-hint.stale {
|
||||||
|
border-color: rgba(248, 113, 113, 0.38);
|
||||||
|
background: rgba(248, 113, 113, 0.1);
|
||||||
|
color: #fecaca;
|
||||||
|
}
|
||||||
|
|
||||||
|
.risk-badge {
|
||||||
|
padding: 5px 9px;
|
||||||
|
border-radius: 10px;
|
||||||
|
font-size: 12px;
|
||||||
|
font-weight: 700;
|
||||||
|
border: 1px solid transparent;
|
||||||
|
}
|
||||||
|
|
||||||
|
.risk-badge.low {
|
||||||
|
color: #86efac;
|
||||||
|
border-color: rgba(52, 211, 153, 0.5);
|
||||||
|
background: rgba(52, 211, 153, 0.14);
|
||||||
|
}
|
||||||
|
|
||||||
|
.risk-badge.medium {
|
||||||
|
color: #fcd34d;
|
||||||
|
border-color: rgba(245, 158, 11, 0.45);
|
||||||
|
background: rgba(245, 158, 11, 0.14);
|
||||||
|
}
|
||||||
|
|
||||||
|
.risk-badge.high {
|
||||||
|
color: #fca5a5;
|
||||||
|
border-color: rgba(248, 113, 113, 0.5);
|
||||||
|
background: rgba(248, 113, 113, 0.12);
|
||||||
|
}
|
||||||
|
|
||||||
|
.city-picker-wrap {
|
||||||
|
display: grid;
|
||||||
|
gap: 4px;
|
||||||
|
}
|
||||||
|
|
||||||
|
.city-picker-wrap label {
|
||||||
|
font-size: 11px;
|
||||||
|
color: var(--muted);
|
||||||
|
}
|
||||||
|
|
||||||
|
#citySelect {
|
||||||
|
width: 100%;
|
||||||
|
height: 34px;
|
||||||
|
border-radius: 9px;
|
||||||
|
border: 1px solid var(--border);
|
||||||
|
background: #0f1b35;
|
||||||
|
color: var(--text);
|
||||||
|
padding: 0 10px;
|
||||||
|
}
|
||||||
|
|
||||||
|
.refresh-btn {
|
||||||
|
width: 34px;
|
||||||
|
height: 34px;
|
||||||
|
border-radius: 9px;
|
||||||
|
border: 1px solid var(--border);
|
||||||
|
background: #0f1b35;
|
||||||
|
color: #9cecff;
|
||||||
|
display: inline-flex;
|
||||||
|
align-items: center;
|
||||||
|
justify-content: center;
|
||||||
|
cursor: pointer;
|
||||||
|
padding: 0;
|
||||||
|
}
|
||||||
|
|
||||||
|
.refresh-btn:hover {
|
||||||
|
filter: brightness(1.08);
|
||||||
|
}
|
||||||
|
|
||||||
|
.refresh-btn:disabled {
|
||||||
|
cursor: not-allowed;
|
||||||
|
opacity: 0.55;
|
||||||
|
}
|
||||||
|
|
||||||
|
.refresh-btn svg {
|
||||||
|
width: 16px;
|
||||||
|
height: 16px;
|
||||||
|
}
|
||||||
|
|
||||||
|
.refresh-btn.spinning svg {
|
||||||
|
animation: refresh-spin 0.8s linear infinite;
|
||||||
|
}
|
||||||
|
|
||||||
|
@keyframes refresh-spin {
|
||||||
|
from {
|
||||||
|
transform: rotate(0deg);
|
||||||
|
}
|
||||||
|
to {
|
||||||
|
transform: rotate(360deg);
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
@keyframes panel-loading-spin {
|
||||||
|
from {
|
||||||
|
transform: rotate(0deg);
|
||||||
|
}
|
||||||
|
to {
|
||||||
|
transform: rotate(360deg);
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
.btn {
|
||||||
|
height: 34px;
|
||||||
|
border-radius: 10px;
|
||||||
|
border: 1px solid rgba(34, 211, 238, 0.5);
|
||||||
|
color: #9cecff;
|
||||||
|
background: rgba(34, 211, 238, 0.07);
|
||||||
|
font-weight: 700;
|
||||||
|
cursor: pointer;
|
||||||
|
}
|
||||||
|
|
||||||
|
.btn:hover {
|
||||||
|
filter: brightness(1.08);
|
||||||
|
}
|
||||||
|
|
||||||
|
.section {
|
||||||
|
border: 1px solid var(--border);
|
||||||
|
border-radius: 14px;
|
||||||
|
background: var(--card);
|
||||||
|
padding: 12px;
|
||||||
|
margin-bottom: 12px;
|
||||||
|
}
|
||||||
|
|
||||||
|
.section h3 {
|
||||||
|
margin: 0 0 10px 0;
|
||||||
|
font-size: 15px;
|
||||||
|
}
|
||||||
|
|
||||||
|
.grid2 {
|
||||||
|
display: grid;
|
||||||
|
grid-template-columns: 1fr 1fr;
|
||||||
|
gap: 8px;
|
||||||
|
}
|
||||||
|
|
||||||
|
.mini-card {
|
||||||
|
border: 1px solid var(--border);
|
||||||
|
border-radius: 12px;
|
||||||
|
padding: 10px;
|
||||||
|
background: rgba(255, 255, 255, 0.02);
|
||||||
|
}
|
||||||
|
|
||||||
|
.mini-label {
|
||||||
|
display: block;
|
||||||
|
color: var(--muted);
|
||||||
|
font-size: 11px;
|
||||||
|
margin-bottom: 6px;
|
||||||
|
}
|
||||||
|
|
||||||
|
.mini-card strong {
|
||||||
|
font-size: 16px;
|
||||||
|
line-height: 1.25;
|
||||||
|
font-weight: 700;
|
||||||
|
font-variant-numeric: tabular-nums;
|
||||||
|
}
|
||||||
|
|
||||||
|
.chart-wrap {
|
||||||
|
position: relative;
|
||||||
|
border: 1px solid var(--border);
|
||||||
|
border-radius: 12px;
|
||||||
|
background: rgba(255, 255, 255, 0.01);
|
||||||
|
padding: 8px;
|
||||||
|
}
|
||||||
|
|
||||||
|
#trendCanvas {
|
||||||
|
width: 100%;
|
||||||
|
height: auto;
|
||||||
|
display: block;
|
||||||
|
}
|
||||||
|
|
||||||
|
.legend-text {
|
||||||
|
margin-top: 8px;
|
||||||
|
color: var(--muted);
|
||||||
|
font-size: 12px;
|
||||||
|
}
|
||||||
|
|
||||||
|
.forecast-row {
|
||||||
|
display: grid;
|
||||||
|
grid-template-columns: repeat(3, minmax(0, 1fr));
|
||||||
|
gap: 8px;
|
||||||
|
}
|
||||||
|
|
||||||
|
.forecast-card {
|
||||||
|
border: 1px solid var(--border);
|
||||||
|
border-radius: 12px;
|
||||||
|
background: rgba(255, 255, 255, 0.02);
|
||||||
|
padding: 8px;
|
||||||
|
min-height: 68px;
|
||||||
|
}
|
||||||
|
|
||||||
|
.forecast-card.today {
|
||||||
|
border-color: rgba(34, 211, 238, 0.62);
|
||||||
|
background: rgba(34, 211, 238, 0.08);
|
||||||
|
}
|
||||||
|
|
||||||
|
.f-date {
|
||||||
|
color: var(--muted);
|
||||||
|
font-size: 11px;
|
||||||
|
}
|
||||||
|
|
||||||
|
.f-temp {
|
||||||
|
margin-top: 7px;
|
||||||
|
font-size: 16px;
|
||||||
|
font-weight: 800;
|
||||||
|
line-height: 1.2;
|
||||||
|
font-variant-numeric: tabular-nums;
|
||||||
|
}
|
||||||
|
|
||||||
|
.btn-open-full {
|
||||||
|
width: 100%;
|
||||||
|
height: 40px;
|
||||||
|
border-color: rgba(59, 130, 246, 0.5);
|
||||||
|
color: #d9ebff;
|
||||||
|
background: rgba(59, 130, 246, 0.15);
|
||||||
|
}
|
||||||
|
|
||||||
|
.error {
|
||||||
|
border: 1px solid rgba(248, 113, 113, 0.45);
|
||||||
|
border-radius: 12px;
|
||||||
|
background: rgba(248, 113, 113, 0.12);
|
||||||
|
color: #fecaca;
|
||||||
|
padding: 10px;
|
||||||
|
font-size: 12px;
|
||||||
|
line-height: 1.4;
|
||||||
|
}
|
||||||
|
|
||||||
|
.hidden {
|
||||||
|
display: none;
|
||||||
|
}
|
||||||
|
|
||||||
|
.chart-tooltip {
|
||||||
|
position: absolute;
|
||||||
|
z-index: 3;
|
||||||
|
pointer-events: none;
|
||||||
|
max-width: 180px;
|
||||||
|
padding: 6px 8px;
|
||||||
|
border-radius: 8px;
|
||||||
|
border: 1px solid rgba(34, 211, 238, 0.45);
|
||||||
|
background: rgba(9, 17, 36, 0.92);
|
||||||
|
color: #dff7ff;
|
||||||
|
font-size: 11px;
|
||||||
|
font-weight: 600;
|
||||||
|
line-height: 1.3;
|
||||||
|
white-space: nowrap;
|
||||||
|
box-shadow: 0 6px 18px rgba(0, 0, 0, 0.35);
|
||||||
|
}
|
||||||
@@ -0,0 +1,76 @@
|
|||||||
|
<!doctype html>
|
||||||
|
<html lang="zh-CN">
|
||||||
|
<head>
|
||||||
|
<meta charset="UTF-8" />
|
||||||
|
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
|
||||||
|
<title>PolyWeather Panel</title>
|
||||||
|
<link rel="stylesheet" href="./sidepanel.css" />
|
||||||
|
</head>
|
||||||
|
<body>
|
||||||
|
<main class="panel">
|
||||||
|
<div id="loadingOverlay" class="loading-overlay hidden" aria-live="polite">
|
||||||
|
<div class="loading-spinner" aria-hidden="true"></div>
|
||||||
|
<div id="loadingText" class="loading-text">正在加载温度数据...</div>
|
||||||
|
</div>
|
||||||
|
<header class="topbar">
|
||||||
|
<div id="riskBadge" class="risk-badge medium">中风险</div>
|
||||||
|
<div class="city-picker-wrap">
|
||||||
|
<label id="cityLabel" for="citySelect">城市</label>
|
||||||
|
<select id="citySelect"></select>
|
||||||
|
</div>
|
||||||
|
<button id="refreshBtn" class="refresh-btn" title="刷新数据" aria-label="刷新数据">
|
||||||
|
<svg viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2.2" stroke-linecap="round" stroke-linejoin="round">
|
||||||
|
<path d="M3 12a9 9 0 1 0 9-9 9.75 9.75 0 0 0-6.74 2.74L3 8" />
|
||||||
|
<path d="M3 3v5h5" />
|
||||||
|
</svg>
|
||||||
|
</button>
|
||||||
|
</header>
|
||||||
|
|
||||||
|
<div id="freshnessHint" class="freshness-hint hidden"></div>
|
||||||
|
|
||||||
|
<section class="section">
|
||||||
|
<h3 id="profileTitle">城市档案</h3>
|
||||||
|
<div class="grid2">
|
||||||
|
<article class="mini-card">
|
||||||
|
<span class="mini-label" id="settlementLabel">结算站点</span>
|
||||||
|
<strong id="settlementValue">--</strong>
|
||||||
|
</article>
|
||||||
|
<article class="mini-card">
|
||||||
|
<span id="distanceLabel" class="mini-label">站点距离</span>
|
||||||
|
<strong id="distanceValue">--</strong>
|
||||||
|
</article>
|
||||||
|
<article class="mini-card">
|
||||||
|
<span id="obsTimeLabel" class="mini-label">观测更新</span>
|
||||||
|
<strong id="obsTimeValue">--</strong>
|
||||||
|
</article>
|
||||||
|
<article class="mini-card">
|
||||||
|
<span id="nearbyLabel" class="mini-label">周边站点</span>
|
||||||
|
<strong id="nearbyValue">--</strong>
|
||||||
|
</article>
|
||||||
|
</div>
|
||||||
|
</section>
|
||||||
|
|
||||||
|
<section class="section">
|
||||||
|
<h3 id="trendTitle">今日日内走势(简版)</h3>
|
||||||
|
<div class="chart-wrap">
|
||||||
|
<canvas id="trendCanvas" width="560" height="220"></canvas>
|
||||||
|
<div id="chartTooltip" class="chart-tooltip hidden"></div>
|
||||||
|
</div>
|
||||||
|
<div id="chartLegend" class="legend-text">--</div>
|
||||||
|
</section>
|
||||||
|
|
||||||
|
<section class="section">
|
||||||
|
<h3 id="forecastTitle">多日预报</h3>
|
||||||
|
<div id="forecastRow" class="forecast-row"></div>
|
||||||
|
</section>
|
||||||
|
|
||||||
|
<section class="section">
|
||||||
|
<button id="openFullBtn" class="btn btn-open-full">打开完整网站分析</button>
|
||||||
|
</section>
|
||||||
|
|
||||||
|
<section id="errorBox" class="error hidden"></section>
|
||||||
|
</main>
|
||||||
|
|
||||||
|
<script src="./sidepanel.js"></script>
|
||||||
|
</body>
|
||||||
|
</html>
|
||||||
File diff suppressed because it is too large
Load Diff
+32
-3
@@ -1,6 +1,35 @@
|
|||||||
|
# PolyWeather 前端最小配置(本地 / Vercel)
|
||||||
|
# 只部署天气看板时,先填下面 4 项即可。
|
||||||
|
|
||||||
|
# 必填:后端 FastAPI 基础地址
|
||||||
POLYWEATHER_API_BASE_URL=http://127.0.0.1:8000
|
POLYWEATHER_API_BASE_URL=http://127.0.0.1:8000
|
||||||
# Optional dashboard guard (Next.js middleware)
|
|
||||||
# If set, open dashboard with: /?access_token=<token>
|
# 必填:Supabase 前端公钥(鉴权开启时必须)
|
||||||
|
NEXT_PUBLIC_SUPABASE_URL=
|
||||||
|
NEXT_PUBLIC_SUPABASE_ANON_KEY=
|
||||||
|
|
||||||
|
# 常用:前端鉴权开关
|
||||||
|
# true: 启用 Supabase 登录
|
||||||
|
# false: 关闭登录能力,访客模式
|
||||||
|
POLYWEATHER_AUTH_ENABLED=false
|
||||||
|
|
||||||
|
# 常用:是否强制登录
|
||||||
|
# true: middleware 强制登录后才能访问主页面
|
||||||
|
# false: 登录可选,访客可浏览
|
||||||
|
POLYWEATHER_AUTH_REQUIRED=false
|
||||||
|
|
||||||
|
# 可选:分享式看板访问令牌
|
||||||
|
# 设置后,可通过 /?access_token=<token> 打开受保护看板
|
||||||
POLYWEATHER_DASHBOARD_ACCESS_TOKEN=
|
POLYWEATHER_DASHBOARD_ACCESS_TOKEN=
|
||||||
# Shared secret forwarded by Next API routes to backend
|
|
||||||
|
# 可选:前端 API Route 转发到后端时附带的共享令牌
|
||||||
|
# 仅当后端启用了 entitlement / 订阅校验时需要
|
||||||
POLYWEATHER_BACKEND_ENTITLEMENT_TOKEN=
|
POLYWEATHER_BACKEND_ENTITLEMENT_TOKEN=
|
||||||
|
|
||||||
|
# 可选:钱包支付 / Telegram 入口
|
||||||
|
NEXT_PUBLIC_WALLETCONNECT_PROJECT_ID=
|
||||||
|
NEXT_PUBLIC_WALLETCONNECT_POLYGON_RPC_URL=https://polygon-bor-rpc.publicnode.com
|
||||||
|
NEXT_PUBLIC_PAYMENT_ALLOWED_HOSTS=polyweather-pro.vercel.app
|
||||||
|
POLYWEATHER_OPS_ADMIN_EMAILS=yhrsc30@gmail.com
|
||||||
|
NEXT_PUBLIC_TELEGRAM_GROUP_URL=https://t.me/your_group
|
||||||
|
NEXT_PUBLIC_TELEGRAM_BOT_URL=https://t.me/WeatherQuant_bot
|
||||||
|
|||||||
+129
-44
@@ -1,32 +1,25 @@
|
|||||||
# PolyWeather Frontend
|
# PolyWeather 前端
|
||||||
|
|
||||||
This directory is the only web frontend in production.
|
PolyWeather Pro 的生产前端工程。
|
||||||
|
|
||||||
Production URL:
|
线上地址:
|
||||||
- https://polyweather-pro.vercel.app/
|
- [https://polyweather-pro.vercel.app/](https://polyweather-pro.vercel.app/)
|
||||||
|
|
||||||
## Stack
|
## 技术栈
|
||||||
|
|
||||||
- Next.js App Router
|
- Next.js App Router
|
||||||
- React (component-driven dashboard)
|
- React + Tailwind
|
||||||
- Tailwind CSS
|
- Leaflet + Chart.js
|
||||||
- Leaflet (map runtime)
|
- Supabase Auth
|
||||||
- Chart.js (charts with manual lifecycle wrapper)
|
- WalletConnect + 浏览器 EVM 钱包
|
||||||
- Typed store + typed data client
|
|
||||||
|
|
||||||
## Production Model
|
## 运行模型
|
||||||
|
|
||||||
- Vercel serves the web UI and BFF route handlers
|
1. 浏览器 -> Next 应用(`frontend`)
|
||||||
- FastAPI on VPS serves weather APIs only
|
2. Next Route Handlers(`/api/*`)-> FastAPI 后端
|
||||||
- The old FastAPI static website has been removed
|
3. FastAPI -> 分析服务 / 支付服务
|
||||||
- The production page shell is React-driven (`components/dashboard/*`), with no runtime dependency on `public/static/app.js`
|
|
||||||
|
|
||||||
Current request flow:
|
## 本地开发
|
||||||
- Browser -> Vercel frontend
|
|
||||||
- React store/client -> Next route handlers
|
|
||||||
- Next route handlers -> FastAPI API
|
|
||||||
|
|
||||||
## Local Development
|
|
||||||
|
|
||||||
```bash
|
```bash
|
||||||
cd frontend
|
cd frontend
|
||||||
@@ -35,44 +28,136 @@ npm install
|
|||||||
npm run dev
|
npm run dev
|
||||||
```
|
```
|
||||||
|
|
||||||
Default local URL:
|
## Vercel 最小部署配置
|
||||||
- http://localhost:3000
|
|
||||||
|
|
||||||
## Required Environment Variable
|
只跑看板和基础鉴权时,先填这 4 项:
|
||||||
|
|
||||||
```env
|
```env
|
||||||
POLYWEATHER_API_BASE_URL=https://<your-fastapi-host>
|
POLYWEATHER_API_BASE_URL=https://<your-fastapi-host>
|
||||||
|
NEXT_PUBLIC_SUPABASE_URL=https://<your-supabase-project>.supabase.co
|
||||||
|
NEXT_PUBLIC_SUPABASE_ANON_KEY=<your-anon-key>
|
||||||
|
POLYWEATHER_AUTH_ENABLED=true
|
||||||
```
|
```
|
||||||
|
|
||||||
Examples:
|
建议显式补:
|
||||||
- `http://38.54.27.70:8000`
|
|
||||||
- `https://api.example.com`
|
|
||||||
|
|
||||||
## Route Handlers
|
```env
|
||||||
|
POLYWEATHER_AUTH_REQUIRED=true
|
||||||
|
```
|
||||||
|
|
||||||
|
如果你只是开放游客浏览,可改成:
|
||||||
|
|
||||||
|
```env
|
||||||
|
POLYWEATHER_AUTH_ENABLED=false
|
||||||
|
POLYWEATHER_AUTH_REQUIRED=false
|
||||||
|
```
|
||||||
|
|
||||||
|
## 可选环境变量
|
||||||
|
|
||||||
|
仅在对应功能启用时填写:
|
||||||
|
|
||||||
|
```env
|
||||||
|
# 看板分享令牌
|
||||||
|
POLYWEATHER_DASHBOARD_ACCESS_TOKEN=
|
||||||
|
|
||||||
|
# 前端 API 转发到后端时使用的共享令牌
|
||||||
|
POLYWEATHER_BACKEND_ENTITLEMENT_TOKEN=
|
||||||
|
|
||||||
|
# 钱包支付
|
||||||
|
NEXT_PUBLIC_WALLETCONNECT_PROJECT_ID=
|
||||||
|
NEXT_PUBLIC_WALLETCONNECT_POLYGON_RPC_URL=https://polygon-bor-rpc.publicnode.com
|
||||||
|
NEXT_PUBLIC_PAYMENT_ALLOWED_HOSTS=polyweather-pro.vercel.app
|
||||||
|
|
||||||
|
# 社群入口
|
||||||
|
NEXT_PUBLIC_TELEGRAM_GROUP_URL=https://t.me/<your_group>
|
||||||
|
NEXT_PUBLIC_TELEGRAM_BOT_URL=https://t.me/WeatherQuant_bot
|
||||||
|
```
|
||||||
|
|
||||||
|
更完整的 Vercel 配置说明见:
|
||||||
|
- [docs/FRONTEND_DEPLOYMENT_ZH.md](/E:/web/PolyWeather/docs/FRONTEND_DEPLOYMENT_ZH.md)
|
||||||
|
|
||||||
|
## 路由处理器
|
||||||
|
|
||||||
|
天气:
|
||||||
|
|
||||||
Thin BFF routes currently exposed by Next:
|
|
||||||
- `GET /api/cities`
|
- `GET /api/cities`
|
||||||
- `GET /api/city/[name]`
|
- `GET /api/city/[name]`
|
||||||
- `GET /api/city/[name]/summary`
|
- `GET /api/city/[name]/summary`
|
||||||
|
- `GET /api/city/[name]/detail`
|
||||||
- `GET /api/history/[name]`
|
- `GET /api/history/[name]`
|
||||||
|
|
||||||
Current frontend behavior:
|
鉴权:
|
||||||
- `/` keeps the world overview layout and initial city temperatures preload
|
|
||||||
- Marker click: focus map + open right city card + render nearby stations
|
|
||||||
- Right-card "今日日内分析": opens modal and freezes map motion
|
|
||||||
- Blank-map click: closes right card only, without resetting camera
|
|
||||||
|
|
||||||
## Vercel Deployment
|
- `GET /api/auth/me`
|
||||||
|
|
||||||
1. Import the repo into Vercel
|
支付:
|
||||||
2. Set Root Directory to `frontend`
|
|
||||||
3. Set `POLYWEATHER_API_BASE_URL`
|
|
||||||
4. Deploy
|
|
||||||
|
|
||||||
## Notes
|
- `GET /api/payments/config`
|
||||||
|
- `GET /api/payments/wallets`
|
||||||
|
- `POST /api/payments/wallets/challenge`
|
||||||
|
- `POST /api/payments/wallets/verify`
|
||||||
|
- `POST /api/payments/intents`
|
||||||
|
- `GET /api/payments/intents/[intentId]`
|
||||||
|
- `POST /api/payments/intents/[intentId]/submit`
|
||||||
|
- `POST /api/payments/intents/[intentId]/confirm`
|
||||||
|
|
||||||
- Backend CORS must allow `https://polyweather-pro.vercel.app`
|
Ops:
|
||||||
- City detail cache TTL is 5 minutes with revision probe; manual refresh bypasses cache
|
|
||||||
- UI layout and sizing remain aligned with the legacy visual contract after React migration
|
|
||||||
|
|
||||||
Last updated: 2026-03-09
|
- `GET /ops`
|
||||||
|
- `GET /api/ops/users`
|
||||||
|
- `GET /api/ops/leaderboard/weekly`
|
||||||
|
- `GET /api/ops/memberships`
|
||||||
|
- `GET /api/ops/payments/incidents`
|
||||||
|
- `POST /api/ops/users/grant-points`
|
||||||
|
- `POST /api/ops/payments/incidents/[eventId]/resolve`
|
||||||
|
|
||||||
|
## Ops 管理后台
|
||||||
|
|
||||||
|
当前前端已内置轻量管理页:
|
||||||
|
|
||||||
|
- [https://polyweather-pro.vercel.app/ops](https://polyweather-pro.vercel.app/ops)
|
||||||
|
|
||||||
|
页面当前支持:
|
||||||
|
|
||||||
|
- 系统状态
|
||||||
|
- SQLite / rollout / 支付运行态
|
||||||
|
- 用户查询
|
||||||
|
- 当前会员
|
||||||
|
- 本周积分榜
|
||||||
|
- 手动补分
|
||||||
|
- 支付异常单筛选与标记已处理
|
||||||
|
|
||||||
|
注意:
|
||||||
|
|
||||||
|
- `/ops` 页面是否可写,取决于后端 `POLYWEATHER_OPS_ADMIN_EMAILS`
|
||||||
|
- 前端登录邮箱本身不会自动获得管理员权限
|
||||||
|
|
||||||
|
## 支付安全补充
|
||||||
|
|
||||||
|
为降低“旧页面/旧配置导致打到旧收款地址”的风险,支付区现在会:
|
||||||
|
|
||||||
|
1. 点击支付前重新请求 `/api/payments/config`
|
||||||
|
2. 若 `receiver_contract` 已更新,先切到最新地址
|
||||||
|
3. 若后端返回的 `tx_payload.to` 与最新地址不一致,直接阻断支付
|
||||||
|
4. 仅允许在 `NEXT_PUBLIC_PAYMENT_ALLOWED_HOSTS` 白名单域名上创建 payment intent
|
||||||
|
5. 支付区会明确显示当前账号、付款钱包和收款合约,避免账号/钱包/地址混淆
|
||||||
|
|
||||||
|
这意味着:
|
||||||
|
|
||||||
|
- 旧标签页风险已明显降低
|
||||||
|
- 但支付地址变更后,仍建议在 Vercel 上 redeploy 当前 production,并清理明显过期 deployment
|
||||||
|
|
||||||
|
## 缓存行为
|
||||||
|
|
||||||
|
- `cities` / `summary` / `history`:`ETag + Cache-Control`
|
||||||
|
- `summary?force_refresh=true`:`no-store`
|
||||||
|
- 支付相关路由:`no-store`
|
||||||
|
|
||||||
|
## 开源边界说明
|
||||||
|
|
||||||
|
此前端仓库包含通用产品界面和标准支付体验。
|
||||||
|
商业策略调优、私有运营流程和敏感生产参数不在公开文档范围内。
|
||||||
|
|
||||||
|
详见根目录策略文档:`docs/OPEN_CORE_POLICY.md`
|
||||||
|
|
||||||
|
最后更新:`2026-03-21`
|
||||||
|
|||||||
@@ -0,0 +1,16 @@
|
|||||||
|
import type { Metadata } from "next";
|
||||||
|
import { I18nProvider } from "@/hooks/useI18n";
|
||||||
|
import { AccountEntry } from "@/components/account/AccountEntry";
|
||||||
|
|
||||||
|
export const metadata: Metadata = {
|
||||||
|
title: "PolyWeather | Account Center",
|
||||||
|
description: "PolyWeather account center for identity and entitlement status.",
|
||||||
|
};
|
||||||
|
|
||||||
|
export default function AccountPage() {
|
||||||
|
return (
|
||||||
|
<I18nProvider>
|
||||||
|
<AccountEntry />
|
||||||
|
</I18nProvider>
|
||||||
|
);
|
||||||
|
}
|
||||||
@@ -0,0 +1,40 @@
|
|||||||
|
import { NextRequest, NextResponse } from "next/server";
|
||||||
|
import {
|
||||||
|
applyAuthResponseCookies,
|
||||||
|
buildBackendRequestHeaders,
|
||||||
|
} from "@/lib/backend-auth";
|
||||||
|
|
||||||
|
const API_BASE = process.env.POLYWEATHER_API_BASE_URL;
|
||||||
|
|
||||||
|
export async function GET(req: NextRequest) {
|
||||||
|
if (!API_BASE) {
|
||||||
|
return NextResponse.json(
|
||||||
|
{ error: "POLYWEATHER_API_BASE_URL is not configured" },
|
||||||
|
{ status: 500 },
|
||||||
|
);
|
||||||
|
}
|
||||||
|
|
||||||
|
try {
|
||||||
|
const auth = await buildBackendRequestHeaders(req);
|
||||||
|
const res = await fetch(`${API_BASE}/api/auth/me`, {
|
||||||
|
headers: auth.headers,
|
||||||
|
cache: "no-store",
|
||||||
|
});
|
||||||
|
if (!res.ok) {
|
||||||
|
const raw = await res.text();
|
||||||
|
const response = NextResponse.json(
|
||||||
|
{ error: `Backend returned ${res.status}`, detail: raw.slice(0, 300) },
|
||||||
|
{ status: res.status },
|
||||||
|
);
|
||||||
|
return applyAuthResponseCookies(response, auth.response);
|
||||||
|
}
|
||||||
|
const data = await res.json();
|
||||||
|
const response = NextResponse.json(data);
|
||||||
|
return applyAuthResponseCookies(response, auth.response);
|
||||||
|
} catch (error) {
|
||||||
|
return NextResponse.json(
|
||||||
|
{ error: "Failed to fetch auth profile", detail: String(error) },
|
||||||
|
{ status: 500 },
|
||||||
|
);
|
||||||
|
}
|
||||||
|
}
|
||||||
@@ -1,5 +1,8 @@
|
|||||||
import { NextRequest, NextResponse } from "next/server";
|
import { NextRequest, NextResponse } from "next/server";
|
||||||
import { buildBackendRequestHeaders } from "@/lib/backend-auth";
|
import {
|
||||||
|
applyAuthResponseCookies,
|
||||||
|
buildBackendRequestHeaders,
|
||||||
|
} from "@/lib/backend-auth";
|
||||||
import { buildCachedJsonResponse } from "@/lib/http-cache";
|
import { buildCachedJsonResponse } from "@/lib/http-cache";
|
||||||
|
|
||||||
const API_BASE = process.env.POLYWEATHER_API_BASE_URL;
|
const API_BASE = process.env.POLYWEATHER_API_BASE_URL;
|
||||||
@@ -7,34 +10,39 @@ export const dynamic = "force-dynamic";
|
|||||||
|
|
||||||
export async function GET(req: NextRequest) {
|
export async function GET(req: NextRequest) {
|
||||||
if (!API_BASE) {
|
if (!API_BASE) {
|
||||||
return NextResponse.json(
|
const response = NextResponse.json(
|
||||||
{ error: "POLYWEATHER_API_BASE_URL is not configured" },
|
{ error: "POLYWEATHER_API_BASE_URL is not configured" },
|
||||||
{ status: 500 },
|
{ status: 500 },
|
||||||
);
|
);
|
||||||
|
return response;
|
||||||
}
|
}
|
||||||
|
|
||||||
try {
|
try {
|
||||||
|
const auth = await buildBackendRequestHeaders(req);
|
||||||
const res = await fetch(`${API_BASE}/api/cities`, {
|
const res = await fetch(`${API_BASE}/api/cities`, {
|
||||||
headers: buildBackendRequestHeaders(),
|
headers: auth.headers,
|
||||||
cache: "no-store",
|
cache: "no-store",
|
||||||
});
|
});
|
||||||
if (!res.ok) {
|
if (!res.ok) {
|
||||||
const raw = await res.text();
|
const raw = await res.text();
|
||||||
return NextResponse.json(
|
const response = NextResponse.json(
|
||||||
{ error: `Backend returned ${res.status}`, detail: raw.slice(0, 300) },
|
{ error: `Backend returned ${res.status}`, detail: raw.slice(0, 300) },
|
||||||
{ status: 502 },
|
{ status: 502 },
|
||||||
);
|
);
|
||||||
|
return applyAuthResponseCookies(response, auth.response);
|
||||||
}
|
}
|
||||||
const data = await res.json();
|
const data = await res.json();
|
||||||
return buildCachedJsonResponse(
|
const response = buildCachedJsonResponse(
|
||||||
req,
|
req,
|
||||||
data,
|
data,
|
||||||
"public, max-age=0, s-maxage=300, stale-while-revalidate=1800",
|
"public, max-age=0, s-maxage=300, stale-while-revalidate=1800",
|
||||||
);
|
);
|
||||||
|
return applyAuthResponseCookies(response, auth.response);
|
||||||
} catch (error) {
|
} catch (error) {
|
||||||
return NextResponse.json(
|
const response = NextResponse.json(
|
||||||
{ error: "Failed to fetch cities", detail: String(error) },
|
{ error: "Failed to fetch cities", detail: String(error) },
|
||||||
{ status: 500 },
|
{ status: 500 },
|
||||||
);
|
);
|
||||||
|
return response;
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|||||||
@@ -1,5 +1,8 @@
|
|||||||
import { NextRequest, NextResponse } from "next/server";
|
import { NextRequest, NextResponse } from "next/server";
|
||||||
import { buildBackendRequestHeaders } from "@/lib/backend-auth";
|
import {
|
||||||
|
applyAuthResponseCookies,
|
||||||
|
buildBackendRequestHeaders,
|
||||||
|
} from "@/lib/backend-auth";
|
||||||
|
|
||||||
const API_BASE = process.env.POLYWEATHER_API_BASE_URL;
|
const API_BASE = process.env.POLYWEATHER_API_BASE_URL;
|
||||||
|
|
||||||
@@ -8,10 +11,11 @@ export async function GET(
|
|||||||
context: { params: Promise<{ name: string }> },
|
context: { params: Promise<{ name: string }> },
|
||||||
) {
|
) {
|
||||||
if (!API_BASE) {
|
if (!API_BASE) {
|
||||||
return NextResponse.json(
|
const response = NextResponse.json(
|
||||||
{ error: "POLYWEATHER_API_BASE_URL is not configured" },
|
{ error: "POLYWEATHER_API_BASE_URL is not configured" },
|
||||||
{ status: 500 },
|
{ status: 500 },
|
||||||
);
|
);
|
||||||
|
return response;
|
||||||
}
|
}
|
||||||
|
|
||||||
const { name } = await context.params;
|
const { name } = await context.params;
|
||||||
@@ -30,23 +34,27 @@ export async function GET(
|
|||||||
const url = `${API_BASE}/api/city/${encodeURIComponent(name)}/detail?${searchParams.toString()}`;
|
const url = `${API_BASE}/api/city/${encodeURIComponent(name)}/detail?${searchParams.toString()}`;
|
||||||
|
|
||||||
try {
|
try {
|
||||||
|
const auth = await buildBackendRequestHeaders(req);
|
||||||
const res = await fetch(url, {
|
const res = await fetch(url, {
|
||||||
headers: buildBackendRequestHeaders(),
|
headers: auth.headers,
|
||||||
cache: "no-store",
|
cache: "no-store",
|
||||||
});
|
});
|
||||||
if (!res.ok) {
|
if (!res.ok) {
|
||||||
const raw = await res.text();
|
const raw = await res.text();
|
||||||
return NextResponse.json(
|
const response = NextResponse.json(
|
||||||
{ error: `Backend returned ${res.status}`, detail: raw.slice(0, 300) },
|
{ error: `Backend returned ${res.status}`, detail: raw.slice(0, 300) },
|
||||||
{ status: 502 },
|
{ status: 502 },
|
||||||
);
|
);
|
||||||
|
return applyAuthResponseCookies(response, auth.response);
|
||||||
}
|
}
|
||||||
const data = await res.json();
|
const data = await res.json();
|
||||||
return NextResponse.json(data);
|
const response = NextResponse.json(data);
|
||||||
|
return applyAuthResponseCookies(response, auth.response);
|
||||||
} catch (error) {
|
} catch (error) {
|
||||||
return NextResponse.json(
|
const response = NextResponse.json(
|
||||||
{ error: "Failed to fetch city detail aggregate", detail: String(error) },
|
{ error: "Failed to fetch city detail aggregate", detail: String(error) },
|
||||||
{ status: 500 },
|
{ status: 500 },
|
||||||
);
|
);
|
||||||
|
return response;
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|||||||
@@ -1,5 +1,8 @@
|
|||||||
import { NextRequest, NextResponse } from "next/server";
|
import { NextRequest, NextResponse } from "next/server";
|
||||||
import { buildBackendRequestHeaders } from "@/lib/backend-auth";
|
import {
|
||||||
|
applyAuthResponseCookies,
|
||||||
|
buildBackendRequestHeaders,
|
||||||
|
} from "@/lib/backend-auth";
|
||||||
|
|
||||||
const API_BASE = process.env.POLYWEATHER_API_BASE_URL;
|
const API_BASE = process.env.POLYWEATHER_API_BASE_URL;
|
||||||
|
|
||||||
@@ -8,10 +11,11 @@ export async function GET(
|
|||||||
context: { params: Promise<{ name: string }> },
|
context: { params: Promise<{ name: string }> },
|
||||||
) {
|
) {
|
||||||
if (!API_BASE) {
|
if (!API_BASE) {
|
||||||
return NextResponse.json(
|
const response = NextResponse.json(
|
||||||
{ error: "POLYWEATHER_API_BASE_URL is not configured" },
|
{ error: "POLYWEATHER_API_BASE_URL is not configured" },
|
||||||
{ status: 500 },
|
{ status: 500 },
|
||||||
);
|
);
|
||||||
|
return response;
|
||||||
}
|
}
|
||||||
|
|
||||||
const { name } = await context.params;
|
const { name } = await context.params;
|
||||||
@@ -19,23 +23,27 @@ export async function GET(
|
|||||||
const url = `${API_BASE}/api/city/${encodeURIComponent(name)}?force_refresh=${forceRefresh}`;
|
const url = `${API_BASE}/api/city/${encodeURIComponent(name)}?force_refresh=${forceRefresh}`;
|
||||||
|
|
||||||
try {
|
try {
|
||||||
|
const auth = await buildBackendRequestHeaders(req);
|
||||||
const res = await fetch(url, {
|
const res = await fetch(url, {
|
||||||
headers: buildBackendRequestHeaders(),
|
headers: auth.headers,
|
||||||
cache: "no-store",
|
cache: "no-store",
|
||||||
});
|
});
|
||||||
if (!res.ok) {
|
if (!res.ok) {
|
||||||
const raw = await res.text();
|
const raw = await res.text();
|
||||||
return NextResponse.json(
|
const response = NextResponse.json(
|
||||||
{ error: `Backend returned ${res.status}`, detail: raw.slice(0, 300) },
|
{ error: `Backend returned ${res.status}`, detail: raw.slice(0, 300) },
|
||||||
{ status: 502 },
|
{ status: 502 },
|
||||||
);
|
);
|
||||||
|
return applyAuthResponseCookies(response, auth.response);
|
||||||
}
|
}
|
||||||
const data = await res.json();
|
const data = await res.json();
|
||||||
return NextResponse.json(data);
|
const response = NextResponse.json(data);
|
||||||
|
return applyAuthResponseCookies(response, auth.response);
|
||||||
} catch (error) {
|
} catch (error) {
|
||||||
return NextResponse.json(
|
const response = NextResponse.json(
|
||||||
{ error: "Failed to fetch city detail", detail: String(error) },
|
{ error: "Failed to fetch city detail", detail: String(error) },
|
||||||
{ status: 500 },
|
{ status: 500 },
|
||||||
);
|
);
|
||||||
|
return response;
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|||||||
@@ -1,5 +1,8 @@
|
|||||||
import { NextRequest, NextResponse } from "next/server";
|
import { NextRequest, NextResponse } from "next/server";
|
||||||
import { buildBackendRequestHeaders } from "@/lib/backend-auth";
|
import {
|
||||||
|
applyAuthResponseCookies,
|
||||||
|
buildBackendRequestHeaders,
|
||||||
|
} from "@/lib/backend-auth";
|
||||||
import { buildCachedJsonResponse } from "@/lib/http-cache";
|
import { buildCachedJsonResponse } from "@/lib/http-cache";
|
||||||
|
|
||||||
const API_BASE = process.env.POLYWEATHER_API_BASE_URL;
|
const API_BASE = process.env.POLYWEATHER_API_BASE_URL;
|
||||||
@@ -9,10 +12,11 @@ export async function GET(
|
|||||||
context: { params: Promise<{ name: string }> },
|
context: { params: Promise<{ name: string }> },
|
||||||
) {
|
) {
|
||||||
if (!API_BASE) {
|
if (!API_BASE) {
|
||||||
return NextResponse.json(
|
const response = NextResponse.json(
|
||||||
{ error: "POLYWEATHER_API_BASE_URL is not configured" },
|
{ error: "POLYWEATHER_API_BASE_URL is not configured" },
|
||||||
{ status: 500 },
|
{ status: 500 },
|
||||||
);
|
);
|
||||||
|
return response;
|
||||||
}
|
}
|
||||||
|
|
||||||
const { name } = await context.params;
|
const { name } = await context.params;
|
||||||
@@ -21,34 +25,39 @@ export async function GET(
|
|||||||
const url = `${API_BASE}/api/city/${encodeURIComponent(name)}/summary?force_refresh=${forceRefresh}`;
|
const url = `${API_BASE}/api/city/${encodeURIComponent(name)}/summary?force_refresh=${forceRefresh}`;
|
||||||
|
|
||||||
try {
|
try {
|
||||||
|
const auth = await buildBackendRequestHeaders(req);
|
||||||
const res = await fetch(url, {
|
const res = await fetch(url, {
|
||||||
headers: buildBackendRequestHeaders(),
|
headers: auth.headers,
|
||||||
cache: "no-store",
|
cache: "no-store",
|
||||||
});
|
});
|
||||||
if (!res.ok) {
|
if (!res.ok) {
|
||||||
const raw = await res.text();
|
const raw = await res.text();
|
||||||
return NextResponse.json(
|
const response = NextResponse.json(
|
||||||
{ error: `Backend returned ${res.status}`, detail: raw.slice(0, 300) },
|
{ error: `Backend returned ${res.status}`, detail: raw.slice(0, 300) },
|
||||||
{ status: 502 },
|
{ status: 502 },
|
||||||
);
|
);
|
||||||
|
return applyAuthResponseCookies(response, auth.response);
|
||||||
}
|
}
|
||||||
const data = await res.json();
|
const data = await res.json();
|
||||||
if (bypassCache) {
|
if (bypassCache) {
|
||||||
return NextResponse.json(data, {
|
const response = NextResponse.json(data, {
|
||||||
headers: {
|
headers: {
|
||||||
"Cache-Control": "no-store",
|
"Cache-Control": "no-store",
|
||||||
},
|
},
|
||||||
});
|
});
|
||||||
|
return applyAuthResponseCookies(response, auth.response);
|
||||||
}
|
}
|
||||||
return buildCachedJsonResponse(
|
const response = buildCachedJsonResponse(
|
||||||
req,
|
req,
|
||||||
data,
|
data,
|
||||||
"public, max-age=0, s-maxage=20, stale-while-revalidate=60",
|
"public, max-age=0, s-maxage=20, stale-while-revalidate=60",
|
||||||
);
|
);
|
||||||
|
return applyAuthResponseCookies(response, auth.response);
|
||||||
} catch (error) {
|
} catch (error) {
|
||||||
return NextResponse.json(
|
const response = NextResponse.json(
|
||||||
{ error: "Failed to fetch city summary", detail: String(error) },
|
{ error: "Failed to fetch city summary", detail: String(error) },
|
||||||
{ status: 500 },
|
{ status: 500 },
|
||||||
);
|
);
|
||||||
|
return response;
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|||||||
@@ -0,0 +1,38 @@
|
|||||||
|
import { NextRequest, NextResponse } from "next/server";
|
||||||
|
import {
|
||||||
|
applyAuthResponseCookies,
|
||||||
|
buildBackendRequestHeaders,
|
||||||
|
} from "@/lib/backend-auth";
|
||||||
|
|
||||||
|
const API_BASE = process.env.POLYWEATHER_API_BASE_URL;
|
||||||
|
|
||||||
|
export async function GET(req: NextRequest) {
|
||||||
|
if (!API_BASE) {
|
||||||
|
return NextResponse.json(
|
||||||
|
{ error: "POLYWEATHER_API_BASE_URL is not configured" },
|
||||||
|
{ status: 500 },
|
||||||
|
);
|
||||||
|
}
|
||||||
|
|
||||||
|
try {
|
||||||
|
const auth = await buildBackendRequestHeaders(req);
|
||||||
|
const res = await fetch(`${API_BASE}/healthz`, {
|
||||||
|
headers: auth.headers,
|
||||||
|
cache: "no-store",
|
||||||
|
});
|
||||||
|
const raw = await res.text();
|
||||||
|
const response = new NextResponse(raw, {
|
||||||
|
status: res.status,
|
||||||
|
headers: {
|
||||||
|
"Content-Type": res.headers.get("content-type") || "application/json",
|
||||||
|
"Cache-Control": "no-store",
|
||||||
|
},
|
||||||
|
});
|
||||||
|
return applyAuthResponseCookies(response, auth.response);
|
||||||
|
} catch (error) {
|
||||||
|
return NextResponse.json(
|
||||||
|
{ error: "Failed to fetch healthz", detail: String(error) },
|
||||||
|
{ status: 500 },
|
||||||
|
);
|
||||||
|
}
|
||||||
|
}
|
||||||
@@ -1,5 +1,8 @@
|
|||||||
import { NextRequest, NextResponse } from "next/server";
|
import { NextRequest, NextResponse } from "next/server";
|
||||||
import { buildBackendRequestHeaders } from "@/lib/backend-auth";
|
import {
|
||||||
|
applyAuthResponseCookies,
|
||||||
|
buildBackendRequestHeaders,
|
||||||
|
} from "@/lib/backend-auth";
|
||||||
import { buildCachedJsonResponse } from "@/lib/http-cache";
|
import { buildCachedJsonResponse } from "@/lib/http-cache";
|
||||||
|
|
||||||
const API_BASE = process.env.POLYWEATHER_API_BASE_URL;
|
const API_BASE = process.env.POLYWEATHER_API_BASE_URL;
|
||||||
@@ -9,37 +12,42 @@ export async function GET(
|
|||||||
context: { params: Promise<{ name: string }> },
|
context: { params: Promise<{ name: string }> },
|
||||||
) {
|
) {
|
||||||
if (!API_BASE) {
|
if (!API_BASE) {
|
||||||
return NextResponse.json(
|
const response = NextResponse.json(
|
||||||
{ error: "POLYWEATHER_API_BASE_URL is not configured" },
|
{ error: "POLYWEATHER_API_BASE_URL is not configured" },
|
||||||
{ status: 500 },
|
{ status: 500 },
|
||||||
);
|
);
|
||||||
|
return response;
|
||||||
}
|
}
|
||||||
|
|
||||||
const { name } = await context.params;
|
const { name } = await context.params;
|
||||||
const url = `${API_BASE}/api/history/${encodeURIComponent(name)}`;
|
const url = `${API_BASE}/api/history/${encodeURIComponent(name)}`;
|
||||||
|
|
||||||
try {
|
try {
|
||||||
|
const auth = await buildBackendRequestHeaders(req);
|
||||||
const res = await fetch(url, {
|
const res = await fetch(url, {
|
||||||
headers: buildBackendRequestHeaders(),
|
headers: auth.headers,
|
||||||
cache: "no-store",
|
cache: "no-store",
|
||||||
});
|
});
|
||||||
if (!res.ok) {
|
if (!res.ok) {
|
||||||
const raw = await res.text();
|
const raw = await res.text();
|
||||||
return NextResponse.json(
|
const response = NextResponse.json(
|
||||||
{ error: `Backend returned ${res.status}`, detail: raw.slice(0, 300) },
|
{ error: `Backend returned ${res.status}`, detail: raw.slice(0, 300) },
|
||||||
{ status: 502 },
|
{ status: 502 },
|
||||||
);
|
);
|
||||||
|
return applyAuthResponseCookies(response, auth.response);
|
||||||
}
|
}
|
||||||
const data = await res.json();
|
const data = await res.json();
|
||||||
return buildCachedJsonResponse(
|
const response = buildCachedJsonResponse(
|
||||||
req,
|
req,
|
||||||
data,
|
data,
|
||||||
"public, max-age=0, s-maxage=60, stale-while-revalidate=300",
|
"public, max-age=0, s-maxage=60, stale-while-revalidate=300",
|
||||||
);
|
);
|
||||||
|
return applyAuthResponseCookies(response, auth.response);
|
||||||
} catch (error) {
|
} catch (error) {
|
||||||
return NextResponse.json(
|
const response = NextResponse.json(
|
||||||
{ error: "Failed to fetch history", detail: String(error) },
|
{ error: "Failed to fetch history", detail: String(error) },
|
||||||
{ status: 500 },
|
{ status: 500 },
|
||||||
);
|
);
|
||||||
|
return response;
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|||||||
@@ -0,0 +1,42 @@
|
|||||||
|
import { NextRequest, NextResponse } from "next/server";
|
||||||
|
import {
|
||||||
|
applyAuthResponseCookies,
|
||||||
|
buildBackendRequestHeaders,
|
||||||
|
} from "@/lib/backend-auth";
|
||||||
|
|
||||||
|
const API_BASE = process.env.POLYWEATHER_API_BASE_URL;
|
||||||
|
|
||||||
|
export async function GET(req: NextRequest) {
|
||||||
|
if (!API_BASE) {
|
||||||
|
return NextResponse.json(
|
||||||
|
{ error: "POLYWEATHER_API_BASE_URL is not configured" },
|
||||||
|
{ status: 500 },
|
||||||
|
);
|
||||||
|
}
|
||||||
|
|
||||||
|
try {
|
||||||
|
const auth = await buildBackendRequestHeaders(req);
|
||||||
|
const url = new URL(`${API_BASE}/api/ops/leaderboard/weekly`);
|
||||||
|
const limit = req.nextUrl.searchParams.get("limit");
|
||||||
|
if (limit) url.searchParams.set("limit", limit);
|
||||||
|
|
||||||
|
const res = await fetch(url.toString(), {
|
||||||
|
headers: auth.headers,
|
||||||
|
cache: "no-store",
|
||||||
|
});
|
||||||
|
const raw = await res.text();
|
||||||
|
const response = new NextResponse(raw, {
|
||||||
|
status: res.status,
|
||||||
|
headers: {
|
||||||
|
"Content-Type": res.headers.get("content-type") || "application/json",
|
||||||
|
"Cache-Control": "no-store",
|
||||||
|
},
|
||||||
|
});
|
||||||
|
return applyAuthResponseCookies(response, auth.response);
|
||||||
|
} catch (error) {
|
||||||
|
return NextResponse.json(
|
||||||
|
{ error: "Failed to fetch weekly leaderboard", detail: String(error) },
|
||||||
|
{ status: 500 },
|
||||||
|
);
|
||||||
|
}
|
||||||
|
}
|
||||||
@@ -0,0 +1,42 @@
|
|||||||
|
import { NextRequest, NextResponse } from "next/server";
|
||||||
|
import {
|
||||||
|
applyAuthResponseCookies,
|
||||||
|
buildBackendRequestHeaders,
|
||||||
|
} from "@/lib/backend-auth";
|
||||||
|
|
||||||
|
const API_BASE = process.env.POLYWEATHER_API_BASE_URL;
|
||||||
|
|
||||||
|
export async function GET(req: NextRequest) {
|
||||||
|
if (!API_BASE) {
|
||||||
|
return NextResponse.json(
|
||||||
|
{ error: "POLYWEATHER_API_BASE_URL is not configured" },
|
||||||
|
{ status: 500 },
|
||||||
|
);
|
||||||
|
}
|
||||||
|
|
||||||
|
try {
|
||||||
|
const auth = await buildBackendRequestHeaders(req);
|
||||||
|
const url = new URL(`${API_BASE}/api/ops/memberships`);
|
||||||
|
const limit = req.nextUrl.searchParams.get("limit");
|
||||||
|
if (limit) url.searchParams.set("limit", limit);
|
||||||
|
|
||||||
|
const res = await fetch(url.toString(), {
|
||||||
|
headers: auth.headers,
|
||||||
|
cache: "no-store",
|
||||||
|
});
|
||||||
|
const raw = await res.text();
|
||||||
|
const response = new NextResponse(raw, {
|
||||||
|
status: res.status,
|
||||||
|
headers: {
|
||||||
|
"Content-Type": res.headers.get("content-type") || "application/json",
|
||||||
|
"Cache-Control": "no-store",
|
||||||
|
},
|
||||||
|
});
|
||||||
|
return applyAuthResponseCookies(response, auth.response);
|
||||||
|
} catch (error) {
|
||||||
|
return NextResponse.json(
|
||||||
|
{ error: "Failed to fetch memberships", detail: String(error) },
|
||||||
|
{ status: 500 },
|
||||||
|
);
|
||||||
|
}
|
||||||
|
}
|
||||||
@@ -0,0 +1,44 @@
|
|||||||
|
import { NextRequest, NextResponse } from "next/server";
|
||||||
|
import {
|
||||||
|
applyAuthResponseCookies,
|
||||||
|
buildBackendRequestHeaders,
|
||||||
|
} from "@/lib/backend-auth";
|
||||||
|
|
||||||
|
const API_BASE = process.env.POLYWEATHER_API_BASE_URL;
|
||||||
|
|
||||||
|
type RouteContext = {
|
||||||
|
params: Promise<{ eventId: string }>;
|
||||||
|
};
|
||||||
|
|
||||||
|
export async function POST(req: NextRequest, context: RouteContext) {
|
||||||
|
if (!API_BASE) {
|
||||||
|
return NextResponse.json(
|
||||||
|
{ error: "POLYWEATHER_API_BASE_URL is not configured" },
|
||||||
|
{ status: 500 },
|
||||||
|
);
|
||||||
|
}
|
||||||
|
|
||||||
|
try {
|
||||||
|
const auth = await buildBackendRequestHeaders(req);
|
||||||
|
const { eventId } = await context.params;
|
||||||
|
const res = await fetch(`${API_BASE}/api/ops/payments/incidents/${eventId}/resolve`, {
|
||||||
|
method: "POST",
|
||||||
|
headers: auth.headers,
|
||||||
|
cache: "no-store",
|
||||||
|
});
|
||||||
|
const raw = await res.text();
|
||||||
|
const response = new NextResponse(raw, {
|
||||||
|
status: res.status,
|
||||||
|
headers: {
|
||||||
|
"Content-Type": res.headers.get("content-type") || "application/json",
|
||||||
|
"Cache-Control": "no-store",
|
||||||
|
},
|
||||||
|
});
|
||||||
|
return applyAuthResponseCookies(response, auth.response);
|
||||||
|
} catch (error) {
|
||||||
|
return NextResponse.json(
|
||||||
|
{ error: "Failed to resolve payment incident", detail: String(error) },
|
||||||
|
{ status: 500 },
|
||||||
|
);
|
||||||
|
}
|
||||||
|
}
|
||||||
@@ -0,0 +1,42 @@
|
|||||||
|
import { NextRequest, NextResponse } from "next/server";
|
||||||
|
import {
|
||||||
|
applyAuthResponseCookies,
|
||||||
|
buildBackendRequestHeaders,
|
||||||
|
} from "@/lib/backend-auth";
|
||||||
|
|
||||||
|
const API_BASE = process.env.POLYWEATHER_API_BASE_URL;
|
||||||
|
|
||||||
|
export async function GET(req: NextRequest) {
|
||||||
|
if (!API_BASE) {
|
||||||
|
return NextResponse.json(
|
||||||
|
{ error: "POLYWEATHER_API_BASE_URL is not configured" },
|
||||||
|
{ status: 500 },
|
||||||
|
);
|
||||||
|
}
|
||||||
|
|
||||||
|
try {
|
||||||
|
const auth = await buildBackendRequestHeaders(req);
|
||||||
|
const url = new URL(`${API_BASE}/api/ops/payments/incidents`);
|
||||||
|
const limit = req.nextUrl.searchParams.get("limit");
|
||||||
|
if (limit) url.searchParams.set("limit", limit);
|
||||||
|
|
||||||
|
const res = await fetch(url.toString(), {
|
||||||
|
headers: auth.headers,
|
||||||
|
cache: "no-store",
|
||||||
|
});
|
||||||
|
const raw = await res.text();
|
||||||
|
const response = new NextResponse(raw, {
|
||||||
|
status: res.status,
|
||||||
|
headers: {
|
||||||
|
"Content-Type": res.headers.get("content-type") || "application/json",
|
||||||
|
"Cache-Control": "no-store",
|
||||||
|
},
|
||||||
|
});
|
||||||
|
return applyAuthResponseCookies(response, auth.response);
|
||||||
|
} catch (error) {
|
||||||
|
return NextResponse.json(
|
||||||
|
{ error: "Failed to fetch payment incidents", detail: String(error) },
|
||||||
|
{ status: 500 },
|
||||||
|
);
|
||||||
|
}
|
||||||
|
}
|
||||||
@@ -0,0 +1,44 @@
|
|||||||
|
import { NextRequest, NextResponse } from "next/server";
|
||||||
|
import {
|
||||||
|
applyAuthResponseCookies,
|
||||||
|
buildBackendRequestHeaders,
|
||||||
|
} from "@/lib/backend-auth";
|
||||||
|
|
||||||
|
const API_BASE = process.env.POLYWEATHER_API_BASE_URL;
|
||||||
|
|
||||||
|
export async function POST(req: NextRequest) {
|
||||||
|
if (!API_BASE) {
|
||||||
|
return NextResponse.json(
|
||||||
|
{ error: "POLYWEATHER_API_BASE_URL is not configured" },
|
||||||
|
{ status: 500 },
|
||||||
|
);
|
||||||
|
}
|
||||||
|
|
||||||
|
try {
|
||||||
|
const auth = await buildBackendRequestHeaders(req);
|
||||||
|
const body = await req.text();
|
||||||
|
const res = await fetch(`${API_BASE}/api/ops/users/grant-points`, {
|
||||||
|
method: "POST",
|
||||||
|
headers: {
|
||||||
|
...auth.headers,
|
||||||
|
"Content-Type": "application/json",
|
||||||
|
},
|
||||||
|
body,
|
||||||
|
cache: "no-store",
|
||||||
|
});
|
||||||
|
const raw = await res.text();
|
||||||
|
const response = new NextResponse(raw, {
|
||||||
|
status: res.status,
|
||||||
|
headers: {
|
||||||
|
"Content-Type": res.headers.get("content-type") || "application/json",
|
||||||
|
"Cache-Control": "no-store",
|
||||||
|
},
|
||||||
|
});
|
||||||
|
return applyAuthResponseCookies(response, auth.response);
|
||||||
|
} catch (error) {
|
||||||
|
return NextResponse.json(
|
||||||
|
{ error: "Failed to grant points", detail: String(error) },
|
||||||
|
{ status: 500 },
|
||||||
|
);
|
||||||
|
}
|
||||||
|
}
|
||||||
@@ -0,0 +1,44 @@
|
|||||||
|
import { NextRequest, NextResponse } from "next/server";
|
||||||
|
import {
|
||||||
|
applyAuthResponseCookies,
|
||||||
|
buildBackendRequestHeaders,
|
||||||
|
} from "@/lib/backend-auth";
|
||||||
|
|
||||||
|
const API_BASE = process.env.POLYWEATHER_API_BASE_URL;
|
||||||
|
|
||||||
|
export async function GET(req: NextRequest) {
|
||||||
|
if (!API_BASE) {
|
||||||
|
return NextResponse.json(
|
||||||
|
{ error: "POLYWEATHER_API_BASE_URL is not configured" },
|
||||||
|
{ status: 500 },
|
||||||
|
);
|
||||||
|
}
|
||||||
|
|
||||||
|
try {
|
||||||
|
const auth = await buildBackendRequestHeaders(req);
|
||||||
|
const url = new URL(`${API_BASE}/api/ops/users`);
|
||||||
|
const q = req.nextUrl.searchParams.get("q");
|
||||||
|
const limit = req.nextUrl.searchParams.get("limit");
|
||||||
|
if (q) url.searchParams.set("q", q);
|
||||||
|
if (limit) url.searchParams.set("limit", limit);
|
||||||
|
|
||||||
|
const res = await fetch(url.toString(), {
|
||||||
|
headers: auth.headers,
|
||||||
|
cache: "no-store",
|
||||||
|
});
|
||||||
|
const raw = await res.text();
|
||||||
|
const response = new NextResponse(raw, {
|
||||||
|
status: res.status,
|
||||||
|
headers: {
|
||||||
|
"Content-Type": res.headers.get("content-type") || "application/json",
|
||||||
|
"Cache-Control": "no-store",
|
||||||
|
},
|
||||||
|
});
|
||||||
|
return applyAuthResponseCookies(response, auth.response);
|
||||||
|
} catch (error) {
|
||||||
|
return NextResponse.json(
|
||||||
|
{ error: "Failed to fetch ops users", detail: String(error) },
|
||||||
|
{ status: 500 },
|
||||||
|
);
|
||||||
|
}
|
||||||
|
}
|
||||||
@@ -0,0 +1,42 @@
|
|||||||
|
import { NextRequest, NextResponse } from "next/server";
|
||||||
|
import {
|
||||||
|
applyAuthResponseCookies,
|
||||||
|
buildBackendRequestHeaders,
|
||||||
|
} from "@/lib/backend-auth";
|
||||||
|
|
||||||
|
const API_BASE = process.env.POLYWEATHER_API_BASE_URL;
|
||||||
|
|
||||||
|
export async function GET(req: NextRequest) {
|
||||||
|
if (!API_BASE) {
|
||||||
|
return NextResponse.json(
|
||||||
|
{ error: "POLYWEATHER_API_BASE_URL is not configured" },
|
||||||
|
{ status: 500 },
|
||||||
|
);
|
||||||
|
}
|
||||||
|
try {
|
||||||
|
const auth = await buildBackendRequestHeaders(req);
|
||||||
|
const res = await fetch(`${API_BASE}/api/payments/config`, {
|
||||||
|
headers: auth.headers,
|
||||||
|
cache: "no-store",
|
||||||
|
});
|
||||||
|
if (!res.ok) {
|
||||||
|
const raw = await res.text();
|
||||||
|
const response = NextResponse.json(
|
||||||
|
{ error: `Backend returned ${res.status}`, detail: raw.slice(0, 350) },
|
||||||
|
{ status: res.status },
|
||||||
|
);
|
||||||
|
return applyAuthResponseCookies(response, auth.response);
|
||||||
|
}
|
||||||
|
const data = await res.json();
|
||||||
|
const response = NextResponse.json(data, {
|
||||||
|
headers: { "Cache-Control": "no-store" },
|
||||||
|
});
|
||||||
|
return applyAuthResponseCookies(response, auth.response);
|
||||||
|
} catch (error) {
|
||||||
|
return NextResponse.json(
|
||||||
|
{ error: "Failed to fetch payment config", detail: String(error) },
|
||||||
|
{ status: 500 },
|
||||||
|
);
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
@@ -0,0 +1,51 @@
|
|||||||
|
import { NextRequest, NextResponse } from "next/server";
|
||||||
|
import {
|
||||||
|
applyAuthResponseCookies,
|
||||||
|
buildBackendRequestHeaders,
|
||||||
|
} from "@/lib/backend-auth";
|
||||||
|
|
||||||
|
const API_BASE = process.env.POLYWEATHER_API_BASE_URL;
|
||||||
|
|
||||||
|
export async function POST(
|
||||||
|
req: NextRequest,
|
||||||
|
context: { params: Promise<{ intentId: string }> },
|
||||||
|
) {
|
||||||
|
if (!API_BASE) {
|
||||||
|
return NextResponse.json(
|
||||||
|
{ error: "POLYWEATHER_API_BASE_URL is not configured" },
|
||||||
|
{ status: 500 },
|
||||||
|
);
|
||||||
|
}
|
||||||
|
const { intentId } = await context.params;
|
||||||
|
try {
|
||||||
|
const body = await req.json();
|
||||||
|
const auth = await buildBackendRequestHeaders(req);
|
||||||
|
const proxiedHeaders = new Headers(auth.headers);
|
||||||
|
proxiedHeaders.set("Content-Type", "application/json");
|
||||||
|
const res = await fetch(
|
||||||
|
`${API_BASE}/api/payments/intents/${encodeURIComponent(intentId)}/confirm`,
|
||||||
|
{
|
||||||
|
method: "POST",
|
||||||
|
headers: proxiedHeaders,
|
||||||
|
body: JSON.stringify(body ?? {}),
|
||||||
|
cache: "no-store",
|
||||||
|
},
|
||||||
|
);
|
||||||
|
if (!res.ok) {
|
||||||
|
const raw = await res.text();
|
||||||
|
const response = NextResponse.json(
|
||||||
|
{ error: `Backend returned ${res.status}`, detail: raw.slice(0, 350) },
|
||||||
|
{ status: res.status },
|
||||||
|
);
|
||||||
|
return applyAuthResponseCookies(response, auth.response);
|
||||||
|
}
|
||||||
|
const data = await res.json();
|
||||||
|
const response = NextResponse.json(data);
|
||||||
|
return applyAuthResponseCookies(response, auth.response);
|
||||||
|
} catch (error) {
|
||||||
|
return NextResponse.json(
|
||||||
|
{ error: "Failed to confirm payment tx", detail: String(error) },
|
||||||
|
{ status: 500 },
|
||||||
|
);
|
||||||
|
}
|
||||||
|
}
|
||||||
@@ -0,0 +1,47 @@
|
|||||||
|
import { NextRequest, NextResponse } from "next/server";
|
||||||
|
import {
|
||||||
|
applyAuthResponseCookies,
|
||||||
|
buildBackendRequestHeaders,
|
||||||
|
} from "@/lib/backend-auth";
|
||||||
|
|
||||||
|
const API_BASE = process.env.POLYWEATHER_API_BASE_URL;
|
||||||
|
|
||||||
|
export async function GET(
|
||||||
|
req: NextRequest,
|
||||||
|
context: { params: Promise<{ intentId: string }> },
|
||||||
|
) {
|
||||||
|
if (!API_BASE) {
|
||||||
|
return NextResponse.json(
|
||||||
|
{ error: "POLYWEATHER_API_BASE_URL is not configured" },
|
||||||
|
{ status: 500 },
|
||||||
|
);
|
||||||
|
}
|
||||||
|
const { intentId } = await context.params;
|
||||||
|
try {
|
||||||
|
const auth = await buildBackendRequestHeaders(req);
|
||||||
|
const res = await fetch(
|
||||||
|
`${API_BASE}/api/payments/intents/${encodeURIComponent(intentId)}`,
|
||||||
|
{
|
||||||
|
method: "GET",
|
||||||
|
headers: auth.headers,
|
||||||
|
cache: "no-store",
|
||||||
|
},
|
||||||
|
);
|
||||||
|
if (!res.ok) {
|
||||||
|
const raw = await res.text();
|
||||||
|
const response = NextResponse.json(
|
||||||
|
{ error: `Backend returned ${res.status}`, detail: raw.slice(0, 350) },
|
||||||
|
{ status: res.status },
|
||||||
|
);
|
||||||
|
return applyAuthResponseCookies(response, auth.response);
|
||||||
|
}
|
||||||
|
const data = await res.json();
|
||||||
|
const response = NextResponse.json(data);
|
||||||
|
return applyAuthResponseCookies(response, auth.response);
|
||||||
|
} catch (error) {
|
||||||
|
return NextResponse.json(
|
||||||
|
{ error: "Failed to fetch payment intent", detail: String(error) },
|
||||||
|
{ status: 500 },
|
||||||
|
);
|
||||||
|
}
|
||||||
|
}
|
||||||
@@ -0,0 +1,51 @@
|
|||||||
|
import { NextRequest, NextResponse } from "next/server";
|
||||||
|
import {
|
||||||
|
applyAuthResponseCookies,
|
||||||
|
buildBackendRequestHeaders,
|
||||||
|
} from "@/lib/backend-auth";
|
||||||
|
|
||||||
|
const API_BASE = process.env.POLYWEATHER_API_BASE_URL;
|
||||||
|
|
||||||
|
export async function POST(
|
||||||
|
req: NextRequest,
|
||||||
|
context: { params: Promise<{ intentId: string }> },
|
||||||
|
) {
|
||||||
|
if (!API_BASE) {
|
||||||
|
return NextResponse.json(
|
||||||
|
{ error: "POLYWEATHER_API_BASE_URL is not configured" },
|
||||||
|
{ status: 500 },
|
||||||
|
);
|
||||||
|
}
|
||||||
|
const { intentId } = await context.params;
|
||||||
|
try {
|
||||||
|
const body = await req.json();
|
||||||
|
const auth = await buildBackendRequestHeaders(req);
|
||||||
|
const proxiedHeaders = new Headers(auth.headers);
|
||||||
|
proxiedHeaders.set("Content-Type", "application/json");
|
||||||
|
const res = await fetch(
|
||||||
|
`${API_BASE}/api/payments/intents/${encodeURIComponent(intentId)}/submit`,
|
||||||
|
{
|
||||||
|
method: "POST",
|
||||||
|
headers: proxiedHeaders,
|
||||||
|
body: JSON.stringify(body ?? {}),
|
||||||
|
cache: "no-store",
|
||||||
|
},
|
||||||
|
);
|
||||||
|
if (!res.ok) {
|
||||||
|
const raw = await res.text();
|
||||||
|
const response = NextResponse.json(
|
||||||
|
{ error: `Backend returned ${res.status}`, detail: raw.slice(0, 350) },
|
||||||
|
{ status: res.status },
|
||||||
|
);
|
||||||
|
return applyAuthResponseCookies(response, auth.response);
|
||||||
|
}
|
||||||
|
const data = await res.json();
|
||||||
|
const response = NextResponse.json(data);
|
||||||
|
return applyAuthResponseCookies(response, auth.response);
|
||||||
|
} catch (error) {
|
||||||
|
return NextResponse.json(
|
||||||
|
{ error: "Failed to submit payment tx", detail: String(error) },
|
||||||
|
{ status: 500 },
|
||||||
|
);
|
||||||
|
}
|
||||||
|
}
|
||||||
@@ -0,0 +1,60 @@
|
|||||||
|
import { NextRequest, NextResponse } from "next/server";
|
||||||
|
import {
|
||||||
|
applyAuthResponseCookies,
|
||||||
|
buildBackendRequestHeaders,
|
||||||
|
} from "@/lib/backend-auth";
|
||||||
|
import { isPaymentHostAllowed } from "@/lib/payment-host";
|
||||||
|
|
||||||
|
const API_BASE = process.env.POLYWEATHER_API_BASE_URL;
|
||||||
|
|
||||||
|
export async function POST(req: NextRequest) {
|
||||||
|
if (!API_BASE) {
|
||||||
|
return NextResponse.json(
|
||||||
|
{ error: "POLYWEATHER_API_BASE_URL is not configured" },
|
||||||
|
{ status: 500 },
|
||||||
|
);
|
||||||
|
}
|
||||||
|
const requestHost =
|
||||||
|
req.headers.get("x-forwarded-host") ||
|
||||||
|
req.headers.get("host") ||
|
||||||
|
req.nextUrl.hostname;
|
||||||
|
if (!isPaymentHostAllowed(requestHost)) {
|
||||||
|
return NextResponse.json(
|
||||||
|
{
|
||||||
|
error:
|
||||||
|
"Payments are disabled on this host. Please return to the main production site and retry.",
|
||||||
|
host: requestHost,
|
||||||
|
},
|
||||||
|
{ status: 409 },
|
||||||
|
);
|
||||||
|
}
|
||||||
|
try {
|
||||||
|
const body = await req.json();
|
||||||
|
const auth = await buildBackendRequestHeaders(req);
|
||||||
|
const proxiedHeaders = new Headers(auth.headers);
|
||||||
|
proxiedHeaders.set("Content-Type", "application/json");
|
||||||
|
const res = await fetch(`${API_BASE}/api/payments/intents`, {
|
||||||
|
method: "POST",
|
||||||
|
headers: proxiedHeaders,
|
||||||
|
body: JSON.stringify(body ?? {}),
|
||||||
|
cache: "no-store",
|
||||||
|
});
|
||||||
|
if (!res.ok) {
|
||||||
|
const raw = await res.text();
|
||||||
|
const response = NextResponse.json(
|
||||||
|
{ error: `Backend returned ${res.status}`, detail: raw.slice(0, 350) },
|
||||||
|
{ status: res.status },
|
||||||
|
);
|
||||||
|
return applyAuthResponseCookies(response, auth.response);
|
||||||
|
}
|
||||||
|
const data = await res.json();
|
||||||
|
const response = NextResponse.json(data);
|
||||||
|
return applyAuthResponseCookies(response, auth.response);
|
||||||
|
} catch (error) {
|
||||||
|
return NextResponse.json(
|
||||||
|
{ error: "Failed to create payment intent", detail: String(error) },
|
||||||
|
{ status: 500 },
|
||||||
|
);
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
@@ -0,0 +1,39 @@
|
|||||||
|
import { NextRequest, NextResponse } from "next/server";
|
||||||
|
import {
|
||||||
|
applyAuthResponseCookies,
|
||||||
|
buildBackendRequestHeaders,
|
||||||
|
} from "@/lib/backend-auth";
|
||||||
|
|
||||||
|
const API_BASE = process.env.POLYWEATHER_API_BASE_URL;
|
||||||
|
|
||||||
|
export async function POST(req: NextRequest) {
|
||||||
|
if (!API_BASE) {
|
||||||
|
return NextResponse.json(
|
||||||
|
{ error: "POLYWEATHER_API_BASE_URL is not configured" },
|
||||||
|
{ status: 500 },
|
||||||
|
);
|
||||||
|
}
|
||||||
|
|
||||||
|
try {
|
||||||
|
const auth = await buildBackendRequestHeaders(req);
|
||||||
|
const res = await fetch(`${API_BASE}/api/payments/reconcile-latest`, {
|
||||||
|
method: "POST",
|
||||||
|
headers: auth.headers,
|
||||||
|
cache: "no-store",
|
||||||
|
});
|
||||||
|
const raw = await res.text();
|
||||||
|
const response = new NextResponse(raw, {
|
||||||
|
status: res.status,
|
||||||
|
headers: {
|
||||||
|
"content-type":
|
||||||
|
res.headers.get("content-type") || "application/json; charset=utf-8",
|
||||||
|
},
|
||||||
|
});
|
||||||
|
return applyAuthResponseCookies(response, auth.response);
|
||||||
|
} catch (error) {
|
||||||
|
return NextResponse.json(
|
||||||
|
{ error: "Failed to reconcile latest payment", detail: String(error) },
|
||||||
|
{ status: 500 },
|
||||||
|
);
|
||||||
|
}
|
||||||
|
}
|
||||||
@@ -0,0 +1,43 @@
|
|||||||
|
import { NextRequest, NextResponse } from "next/server";
|
||||||
|
import {
|
||||||
|
applyAuthResponseCookies,
|
||||||
|
buildBackendRequestHeaders,
|
||||||
|
} from "@/lib/backend-auth";
|
||||||
|
|
||||||
|
const API_BASE = process.env.POLYWEATHER_API_BASE_URL;
|
||||||
|
|
||||||
|
export async function GET(req: NextRequest) {
|
||||||
|
if (!API_BASE) {
|
||||||
|
return NextResponse.json(
|
||||||
|
{ error: "POLYWEATHER_API_BASE_URL is not configured" },
|
||||||
|
{ status: 500 },
|
||||||
|
);
|
||||||
|
}
|
||||||
|
|
||||||
|
try {
|
||||||
|
const auth = await buildBackendRequestHeaders(req);
|
||||||
|
const res = await fetch(`${API_BASE}/api/payments/runtime`, {
|
||||||
|
headers: auth.headers,
|
||||||
|
cache: "no-store",
|
||||||
|
});
|
||||||
|
if (!res.ok) {
|
||||||
|
const raw = await res.text();
|
||||||
|
const response = NextResponse.json(
|
||||||
|
{ error: `Backend returned ${res.status}`, detail: raw.slice(0, 500) },
|
||||||
|
{ status: res.status },
|
||||||
|
);
|
||||||
|
return applyAuthResponseCookies(response, auth.response);
|
||||||
|
}
|
||||||
|
|
||||||
|
const data = await res.json();
|
||||||
|
const response = NextResponse.json(data, {
|
||||||
|
headers: { "Cache-Control": "no-store" },
|
||||||
|
});
|
||||||
|
return applyAuthResponseCookies(response, auth.response);
|
||||||
|
} catch (error) {
|
||||||
|
return NextResponse.json(
|
||||||
|
{ error: "Failed to fetch payment runtime", detail: String(error) },
|
||||||
|
{ status: 500 },
|
||||||
|
);
|
||||||
|
}
|
||||||
|
}
|
||||||
@@ -0,0 +1,55 @@
|
|||||||
|
import { NextRequest, NextResponse } from "next/server";
|
||||||
|
import {
|
||||||
|
applyAuthResponseCookies,
|
||||||
|
buildBackendRequestHeaders,
|
||||||
|
} from "@/lib/backend-auth";
|
||||||
|
|
||||||
|
const API_BASE = process.env.POLYWEATHER_API_BASE_URL;
|
||||||
|
|
||||||
|
export async function POST(req: NextRequest) {
|
||||||
|
if (!API_BASE) {
|
||||||
|
return NextResponse.json(
|
||||||
|
{ error: "POLYWEATHER_API_BASE_URL is not configured" },
|
||||||
|
{ status: 500 },
|
||||||
|
);
|
||||||
|
}
|
||||||
|
try {
|
||||||
|
const body = await req.json();
|
||||||
|
const auth = await buildBackendRequestHeaders(req);
|
||||||
|
const proxiedHeaders = new Headers(auth.headers);
|
||||||
|
proxiedHeaders.set("Content-Type", "application/json");
|
||||||
|
const res = await fetch(`${API_BASE}/api/payments/wallets/challenge`, {
|
||||||
|
method: "POST",
|
||||||
|
headers: proxiedHeaders,
|
||||||
|
body: JSON.stringify(body ?? {}),
|
||||||
|
cache: "no-store",
|
||||||
|
});
|
||||||
|
if (!res.ok) {
|
||||||
|
const raw = await res.text();
|
||||||
|
const response = NextResponse.json(
|
||||||
|
{
|
||||||
|
error: `Backend returned ${res.status}`,
|
||||||
|
detail: raw.slice(0, 350),
|
||||||
|
proxy_debug: {
|
||||||
|
has_authorization: proxiedHeaders.has("authorization"),
|
||||||
|
has_entitlement: proxiedHeaders.has("x-polyweather-entitlement"),
|
||||||
|
has_forwarded_user_id: proxiedHeaders.has(
|
||||||
|
"x-polyweather-auth-user-id",
|
||||||
|
),
|
||||||
|
has_forwarded_email: proxiedHeaders.has("x-polyweather-auth-email"),
|
||||||
|
},
|
||||||
|
},
|
||||||
|
{ status: res.status },
|
||||||
|
);
|
||||||
|
return applyAuthResponseCookies(response, auth.response);
|
||||||
|
}
|
||||||
|
const data = await res.json();
|
||||||
|
const response = NextResponse.json(data);
|
||||||
|
return applyAuthResponseCookies(response, auth.response);
|
||||||
|
} catch (error) {
|
||||||
|
return NextResponse.json(
|
||||||
|
{ error: "Failed to create wallet challenge", detail: String(error) },
|
||||||
|
{ status: 500 },
|
||||||
|
);
|
||||||
|
}
|
||||||
|
}
|
||||||
@@ -0,0 +1,107 @@
|
|||||||
|
import { NextRequest, NextResponse } from "next/server";
|
||||||
|
import {
|
||||||
|
applyAuthResponseCookies,
|
||||||
|
buildBackendRequestHeaders,
|
||||||
|
} from "@/lib/backend-auth";
|
||||||
|
|
||||||
|
const API_BASE = process.env.POLYWEATHER_API_BASE_URL;
|
||||||
|
|
||||||
|
export async function GET(req: NextRequest) {
|
||||||
|
if (!API_BASE) {
|
||||||
|
return NextResponse.json(
|
||||||
|
{ error: "POLYWEATHER_API_BASE_URL is not configured" },
|
||||||
|
{ status: 500 },
|
||||||
|
);
|
||||||
|
}
|
||||||
|
try {
|
||||||
|
const auth = await buildBackendRequestHeaders(req);
|
||||||
|
const res = await fetch(`${API_BASE}/api/payments/wallets`, {
|
||||||
|
headers: auth.headers,
|
||||||
|
cache: "no-store",
|
||||||
|
});
|
||||||
|
if (!res.ok) {
|
||||||
|
const raw = await res.text();
|
||||||
|
const response = NextResponse.json(
|
||||||
|
{ error: `Backend returned ${res.status}`, detail: raw.slice(0, 350) },
|
||||||
|
{ status: res.status },
|
||||||
|
);
|
||||||
|
return applyAuthResponseCookies(response, auth.response);
|
||||||
|
}
|
||||||
|
const data = await res.json();
|
||||||
|
const response = NextResponse.json(data, {
|
||||||
|
headers: { "Cache-Control": "no-store" },
|
||||||
|
});
|
||||||
|
return applyAuthResponseCookies(response, auth.response);
|
||||||
|
} catch (error) {
|
||||||
|
return NextResponse.json(
|
||||||
|
{ error: "Failed to fetch wallets", detail: String(error) },
|
||||||
|
{ status: 500 },
|
||||||
|
);
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
export async function DELETE(req: NextRequest) {
|
||||||
|
if (!API_BASE) {
|
||||||
|
return NextResponse.json(
|
||||||
|
{ error: "POLYWEATHER_API_BASE_URL is not configured" },
|
||||||
|
{ status: 500 },
|
||||||
|
);
|
||||||
|
}
|
||||||
|
let payload: Record<string, unknown> = {};
|
||||||
|
try {
|
||||||
|
payload = (await req.json()) as Record<string, unknown>;
|
||||||
|
} catch {
|
||||||
|
payload = {};
|
||||||
|
}
|
||||||
|
try {
|
||||||
|
const auth = await buildBackendRequestHeaders(req);
|
||||||
|
const proxiedHeaders = new Headers(auth.headers);
|
||||||
|
proxiedHeaders.set("Content-Type", "application/json");
|
||||||
|
const res = await fetch(`${API_BASE}/api/payments/wallets`, {
|
||||||
|
method: "DELETE",
|
||||||
|
headers: proxiedHeaders,
|
||||||
|
body: JSON.stringify(payload),
|
||||||
|
cache: "no-store",
|
||||||
|
});
|
||||||
|
const raw = await res.text();
|
||||||
|
if (!res.ok) {
|
||||||
|
const response = NextResponse.json(
|
||||||
|
{
|
||||||
|
error: `Backend returned ${res.status}`,
|
||||||
|
detail: raw.slice(0, 350),
|
||||||
|
proxy_debug: {
|
||||||
|
incoming_has_authorization: Boolean(
|
||||||
|
String(req.headers.get("authorization") || "").trim(),
|
||||||
|
),
|
||||||
|
has_authorization: proxiedHeaders.has("authorization"),
|
||||||
|
has_entitlement: proxiedHeaders.has("x-polyweather-entitlement"),
|
||||||
|
has_forwarded_user_id: proxiedHeaders.has(
|
||||||
|
"x-polyweather-auth-user-id",
|
||||||
|
),
|
||||||
|
has_forwarded_email: proxiedHeaders.has("x-polyweather-auth-email"),
|
||||||
|
},
|
||||||
|
},
|
||||||
|
{ status: res.status },
|
||||||
|
);
|
||||||
|
return applyAuthResponseCookies(response, auth.response);
|
||||||
|
}
|
||||||
|
let data: unknown = { ok: true };
|
||||||
|
if (raw) {
|
||||||
|
try {
|
||||||
|
data = JSON.parse(raw);
|
||||||
|
} catch {
|
||||||
|
data = { ok: true, raw };
|
||||||
|
}
|
||||||
|
}
|
||||||
|
const response = NextResponse.json(data, {
|
||||||
|
headers: { "Cache-Control": "no-store" },
|
||||||
|
});
|
||||||
|
return applyAuthResponseCookies(response, auth.response);
|
||||||
|
} catch (error) {
|
||||||
|
return NextResponse.json(
|
||||||
|
{ error: "Failed to unbind wallet", detail: String(error) },
|
||||||
|
{ status: 500 },
|
||||||
|
);
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
@@ -0,0 +1,56 @@
|
|||||||
|
import { NextRequest, NextResponse } from "next/server";
|
||||||
|
import {
|
||||||
|
applyAuthResponseCookies,
|
||||||
|
buildBackendRequestHeaders,
|
||||||
|
} from "@/lib/backend-auth";
|
||||||
|
|
||||||
|
const API_BASE = process.env.POLYWEATHER_API_BASE_URL;
|
||||||
|
|
||||||
|
export async function POST(req: NextRequest) {
|
||||||
|
if (!API_BASE) {
|
||||||
|
return NextResponse.json(
|
||||||
|
{ error: "POLYWEATHER_API_BASE_URL is not configured" },
|
||||||
|
{ status: 500 },
|
||||||
|
);
|
||||||
|
}
|
||||||
|
try {
|
||||||
|
const body = await req.json();
|
||||||
|
const auth = await buildBackendRequestHeaders(req);
|
||||||
|
const proxiedHeaders = new Headers(auth.headers);
|
||||||
|
proxiedHeaders.set("Content-Type", "application/json");
|
||||||
|
const res = await fetch(`${API_BASE}/api/payments/wallets/verify`, {
|
||||||
|
method: "POST",
|
||||||
|
headers: proxiedHeaders,
|
||||||
|
body: JSON.stringify(body ?? {}),
|
||||||
|
cache: "no-store",
|
||||||
|
});
|
||||||
|
if (!res.ok) {
|
||||||
|
const raw = await res.text();
|
||||||
|
const response = NextResponse.json(
|
||||||
|
{
|
||||||
|
error: `Backend returned ${res.status}`,
|
||||||
|
detail: raw.slice(0, 350),
|
||||||
|
proxy_debug: {
|
||||||
|
has_authorization: proxiedHeaders.has("authorization"),
|
||||||
|
has_entitlement: proxiedHeaders.has("x-polyweather-entitlement"),
|
||||||
|
has_forwarded_user_id: proxiedHeaders.has(
|
||||||
|
"x-polyweather-auth-user-id",
|
||||||
|
),
|
||||||
|
has_forwarded_email: proxiedHeaders.has("x-polyweather-auth-email"),
|
||||||
|
},
|
||||||
|
},
|
||||||
|
{ status: res.status },
|
||||||
|
);
|
||||||
|
return applyAuthResponseCookies(response, auth.response);
|
||||||
|
}
|
||||||
|
const data = await res.json();
|
||||||
|
const response = NextResponse.json(data);
|
||||||
|
return applyAuthResponseCookies(response, auth.response);
|
||||||
|
} catch (error) {
|
||||||
|
return NextResponse.json(
|
||||||
|
{ error: "Failed to verify wallet binding", detail: String(error) },
|
||||||
|
{ status: 500 },
|
||||||
|
);
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
@@ -0,0 +1,43 @@
|
|||||||
|
import { NextRequest, NextResponse } from "next/server";
|
||||||
|
import {
|
||||||
|
applyAuthResponseCookies,
|
||||||
|
buildBackendRequestHeaders,
|
||||||
|
} from "@/lib/backend-auth";
|
||||||
|
|
||||||
|
const API_BASE = process.env.POLYWEATHER_API_BASE_URL;
|
||||||
|
|
||||||
|
export async function GET(req: NextRequest) {
|
||||||
|
if (!API_BASE) {
|
||||||
|
return NextResponse.json(
|
||||||
|
{ error: "POLYWEATHER_API_BASE_URL is not configured" },
|
||||||
|
{ status: 500 },
|
||||||
|
);
|
||||||
|
}
|
||||||
|
|
||||||
|
try {
|
||||||
|
const auth = await buildBackendRequestHeaders(req);
|
||||||
|
const res = await fetch(`${API_BASE}/api/system/status`, {
|
||||||
|
headers: auth.headers,
|
||||||
|
cache: "no-store",
|
||||||
|
});
|
||||||
|
if (!res.ok) {
|
||||||
|
const raw = await res.text();
|
||||||
|
const response = NextResponse.json(
|
||||||
|
{ error: `Backend returned ${res.status}`, detail: raw.slice(0, 500) },
|
||||||
|
{ status: res.status },
|
||||||
|
);
|
||||||
|
return applyAuthResponseCookies(response, auth.response);
|
||||||
|
}
|
||||||
|
|
||||||
|
const data = await res.json();
|
||||||
|
const response = NextResponse.json(data, {
|
||||||
|
headers: { "Cache-Control": "no-store" },
|
||||||
|
});
|
||||||
|
return applyAuthResponseCookies(response, auth.response);
|
||||||
|
} catch (error) {
|
||||||
|
return NextResponse.json(
|
||||||
|
{ error: "Failed to fetch system status", detail: String(error) },
|
||||||
|
{ status: 500 },
|
||||||
|
);
|
||||||
|
}
|
||||||
|
}
|
||||||
@@ -0,0 +1,73 @@
|
|||||||
|
import { NextResponse } from "next/server";
|
||||||
|
import {
|
||||||
|
getVitalsSummary,
|
||||||
|
normalizeMetricName,
|
||||||
|
recordVitalsSample,
|
||||||
|
} from "@/lib/vitals-store";
|
||||||
|
|
||||||
|
type VitalsPayload = {
|
||||||
|
id?: string;
|
||||||
|
metric?: string;
|
||||||
|
navigationType?: string;
|
||||||
|
pathname?: string;
|
||||||
|
rating?: string;
|
||||||
|
value?: number;
|
||||||
|
};
|
||||||
|
|
||||||
|
export async function POST(request: Request) {
|
||||||
|
try {
|
||||||
|
const payload = (await request.json()) as VitalsPayload;
|
||||||
|
const metric = normalizeMetricName(payload.metric);
|
||||||
|
if (!metric) {
|
||||||
|
return NextResponse.json({ ok: false, error: "metric is required" }, { status: 400 });
|
||||||
|
}
|
||||||
|
|
||||||
|
const pathname = String(payload.pathname || "/");
|
||||||
|
const rating = String(payload.rating || "unknown");
|
||||||
|
const value = Number(payload.value);
|
||||||
|
const navigationType = String(payload.navigationType || "unknown");
|
||||||
|
const id = String(payload.id || "");
|
||||||
|
const ts = Date.now();
|
||||||
|
|
||||||
|
if (!Number.isFinite(value)) {
|
||||||
|
return NextResponse.json({ ok: false, error: "value must be finite" }, { status: 400 });
|
||||||
|
}
|
||||||
|
|
||||||
|
recordVitalsSample({
|
||||||
|
id,
|
||||||
|
metric,
|
||||||
|
navigationType,
|
||||||
|
pathname,
|
||||||
|
rating,
|
||||||
|
timestamp: ts,
|
||||||
|
value,
|
||||||
|
});
|
||||||
|
|
||||||
|
// Keep this lightweight: log for now, can be wired to a persistent sink later.
|
||||||
|
console.info(
|
||||||
|
`[vitals] metric=${metric} path=${pathname} value=${Number.isFinite(value) ? value : "NaN"} rating=${rating} nav=${navigationType} id=${id}`,
|
||||||
|
);
|
||||||
|
|
||||||
|
return NextResponse.json({ ok: true });
|
||||||
|
} catch (error) {
|
||||||
|
console.warn("[vitals] failed to parse payload", error);
|
||||||
|
return NextResponse.json({ ok: false }, { status: 400 });
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
export async function GET(request: Request) {
|
||||||
|
const { searchParams } = new URL(request.url);
|
||||||
|
const targetRoute = String(searchParams.get("route") || "").trim();
|
||||||
|
const summary = getVitalsSummary();
|
||||||
|
|
||||||
|
if (!targetRoute) {
|
||||||
|
return NextResponse.json({ ok: true, ...summary });
|
||||||
|
}
|
||||||
|
|
||||||
|
return NextResponse.json({
|
||||||
|
ok: true,
|
||||||
|
generatedAt: summary.generatedAt,
|
||||||
|
route: targetRoute,
|
||||||
|
metrics: summary.routes[targetRoute] || {},
|
||||||
|
});
|
||||||
|
}
|
||||||
@@ -0,0 +1,32 @@
|
|||||||
|
import { NextRequest, NextResponse } from "next/server";
|
||||||
|
import { createSupabaseRouteClient, hasSupabaseServerEnv } from "@/lib/supabase/server";
|
||||||
|
|
||||||
|
function normalizeNextPath(input: string | null) {
|
||||||
|
const fallback = "/";
|
||||||
|
const raw = String(input || "").trim();
|
||||||
|
if (!raw) return fallback;
|
||||||
|
if (!raw.startsWith("/")) return fallback;
|
||||||
|
if (raw.startsWith("//")) return fallback;
|
||||||
|
return raw;
|
||||||
|
}
|
||||||
|
|
||||||
|
export async function GET(request: NextRequest) {
|
||||||
|
const nextPath = normalizeNextPath(request.nextUrl.searchParams.get("next"));
|
||||||
|
const redirectUrl = request.nextUrl.clone();
|
||||||
|
redirectUrl.pathname = nextPath;
|
||||||
|
redirectUrl.search = "";
|
||||||
|
|
||||||
|
if (!hasSupabaseServerEnv()) {
|
||||||
|
return NextResponse.redirect(redirectUrl);
|
||||||
|
}
|
||||||
|
|
||||||
|
const response = NextResponse.redirect(redirectUrl);
|
||||||
|
const supabase = createSupabaseRouteClient(request, response);
|
||||||
|
const code = request.nextUrl.searchParams.get("code");
|
||||||
|
if (code) {
|
||||||
|
await supabase.auth.exchangeCodeForSession(code);
|
||||||
|
}
|
||||||
|
|
||||||
|
return response;
|
||||||
|
}
|
||||||
|
|
||||||
@@ -0,0 +1,25 @@
|
|||||||
|
import { LoginClient } from "@/components/auth/LoginClient";
|
||||||
|
import { I18nProvider } from "@/hooks/useI18n";
|
||||||
|
|
||||||
|
type PageProps = {
|
||||||
|
searchParams?: Promise<{ next?: string }>;
|
||||||
|
};
|
||||||
|
|
||||||
|
function normalizeNextPath(input: string | undefined) {
|
||||||
|
const fallback = "/";
|
||||||
|
const raw = String(input || "").trim();
|
||||||
|
if (!raw) return fallback;
|
||||||
|
if (!raw.startsWith("/")) return fallback;
|
||||||
|
if (raw.startsWith("//")) return fallback;
|
||||||
|
return raw;
|
||||||
|
}
|
||||||
|
|
||||||
|
export default async function LoginPage({ searchParams }: PageProps) {
|
||||||
|
const params = (await searchParams) || {};
|
||||||
|
const nextPath = normalizeNextPath(params.next);
|
||||||
|
return (
|
||||||
|
<I18nProvider>
|
||||||
|
<LoginClient nextPath={nextPath} />
|
||||||
|
</I18nProvider>
|
||||||
|
);
|
||||||
|
}
|
||||||
@@ -33,9 +33,17 @@ export default async function EntitlementRequiredPage({ searchParams }: Props) {
|
|||||||
Entitlement Required
|
Entitlement Required
|
||||||
</h1>
|
</h1>
|
||||||
<p style={{ marginTop: 12, color: "#9fb2da", lineHeight: 1.6 }}>
|
<p style={{ marginTop: 12, color: "#9fb2da", lineHeight: 1.6 }}>
|
||||||
This dashboard is protected. Append{" "}
|
This dashboard is protected. If Supabase auth is enabled, please go to{" "}
|
||||||
<code>?access_token=<your-token></code> to the URL once, and
|
<a
|
||||||
the session cookie will be set automatically.
|
href={`/auth/login?next=${encodeURIComponent(nextPath)}`}
|
||||||
|
style={{ color: "#8fc5ff" }}
|
||||||
|
>
|
||||||
|
/auth/login
|
||||||
|
</a>{" "}
|
||||||
|
to sign in first.
|
||||||
|
</p>
|
||||||
|
<p style={{ marginTop: 12, color: "#9fb2da", lineHeight: 1.6 }}>
|
||||||
|
Legacy mode still supports <code>?access_token=<your-token></code>.
|
||||||
</p>
|
</p>
|
||||||
<p style={{ marginTop: 12, color: "#9fb2da", lineHeight: 1.6 }}>
|
<p style={{ marginTop: 12, color: "#9fb2da", lineHeight: 1.6 }}>
|
||||||
Requested path: <code>{nextPath}</code>
|
Requested path: <code>{nextPath}</code>
|
||||||
|
|||||||
@@ -1,6 +1,7 @@
|
|||||||
import type { Metadata } from "next";
|
import type { Metadata } from "next";
|
||||||
import { Analytics } from "@vercel/analytics/react";
|
import { Analytics } from "@vercel/analytics/react";
|
||||||
import { SpeedInsights } from "@vercel/speed-insights/next";
|
import { SpeedInsights } from "@vercel/speed-insights/next";
|
||||||
|
import { WebVitalsReporter } from "@/components/observability/WebVitalsReporter";
|
||||||
import "./globals.css";
|
import "./globals.css";
|
||||||
|
|
||||||
export const metadata: Metadata = {
|
export const metadata: Metadata = {
|
||||||
@@ -25,10 +26,6 @@ export default function RootLayout({
|
|||||||
return (
|
return (
|
||||||
<html lang="zh-CN" className="dark">
|
<html lang="zh-CN" className="dark">
|
||||||
<head>
|
<head>
|
||||||
<link
|
|
||||||
rel="stylesheet"
|
|
||||||
href="https://unpkg.com/leaflet@1.9.4/dist/leaflet.css"
|
|
||||||
/>
|
|
||||||
<link rel="preconnect" href="https://fonts.googleapis.com" />
|
<link rel="preconnect" href="https://fonts.googleapis.com" />
|
||||||
<link rel="preconnect" href="https://fonts.gstatic.com" crossOrigin="" />
|
<link rel="preconnect" href="https://fonts.gstatic.com" crossOrigin="" />
|
||||||
<link
|
<link
|
||||||
@@ -38,6 +35,7 @@ export default function RootLayout({
|
|||||||
</head>
|
</head>
|
||||||
<body className="min-h-screen font-sans antialiased">
|
<body className="min-h-screen font-sans antialiased">
|
||||||
{children}
|
{children}
|
||||||
|
<WebVitalsReporter />
|
||||||
<Analytics />
|
<Analytics />
|
||||||
<SpeedInsights />
|
<SpeedInsights />
|
||||||
</body>
|
</body>
|
||||||
|
|||||||
@@ -0,0 +1,13 @@
|
|||||||
|
import type { Metadata } from "next";
|
||||||
|
import { OpsDashboard } from "@/components/ops/OpsDashboard";
|
||||||
|
import { requireOpsAdmin } from "@/lib/ops-admin";
|
||||||
|
|
||||||
|
export const metadata: Metadata = {
|
||||||
|
title: "PolyWeather Ops",
|
||||||
|
description: "PolyWeather lightweight operations dashboard.",
|
||||||
|
};
|
||||||
|
|
||||||
|
export default async function OpsPage() {
|
||||||
|
await requireOpsAdmin("/ops");
|
||||||
|
return <OpsDashboard />;
|
||||||
|
}
|
||||||
@@ -0,0 +1,113 @@
|
|||||||
|
import type { Metadata } from "next";
|
||||||
|
import Link from "next/link";
|
||||||
|
import {
|
||||||
|
ArrowLeft,
|
||||||
|
CheckCircle2,
|
||||||
|
Coins,
|
||||||
|
CreditCard,
|
||||||
|
MessageSquare,
|
||||||
|
ShieldCheck,
|
||||||
|
} from "lucide-react";
|
||||||
|
|
||||||
|
export const metadata: Metadata = {
|
||||||
|
title: "PolyWeather | 订阅说明",
|
||||||
|
description: "PolyWeather Pro 订阅、积分抵扣与支付方式说明。",
|
||||||
|
};
|
||||||
|
|
||||||
|
const TELEGRAM_GROUP_URL = String(
|
||||||
|
process.env.NEXT_PUBLIC_TELEGRAM_GROUP_URL ||
|
||||||
|
"https://t.me/+nMG7SjziUKYyZmM1",
|
||||||
|
).trim();
|
||||||
|
|
||||||
|
const FAQ_ITEMS = [
|
||||||
|
{
|
||||||
|
q: "Pro 包含哪些功能?",
|
||||||
|
a: "开通后可解锁:今日日内机场报文规则分析(含高温时段)、历史对账 + 未来日期分析、全平台智能气象推送。",
|
||||||
|
},
|
||||||
|
{
|
||||||
|
q: "当前订阅价格是多少?",
|
||||||
|
a: "目前仅提供月付:5 USDC / 30 天。",
|
||||||
|
},
|
||||||
|
{
|
||||||
|
q: "积分如何抵扣?",
|
||||||
|
a: "满 500 积分起兑,每 500 积分抵 1U,单次最多抵 3U。",
|
||||||
|
},
|
||||||
|
{
|
||||||
|
q: "支持哪些钱包和支付方式?",
|
||||||
|
a: "支持 EVM 浏览器钱包(MetaMask / OKX / Rabby / Bitget 等)及 WalletConnect 扫码钱包(Trust Wallet / Binance Web3 Wallet / TokenPocket 等)。",
|
||||||
|
},
|
||||||
|
];
|
||||||
|
|
||||||
|
export default function SubscriptionHelpPage() {
|
||||||
|
return (
|
||||||
|
<main className="min-h-screen bg-[#070d1d] px-4 py-10 text-slate-100">
|
||||||
|
<div className="mx-auto w-full max-w-4xl">
|
||||||
|
<Link
|
||||||
|
href="/account"
|
||||||
|
className="mb-5 inline-flex items-center gap-2 rounded-xl border border-white/10 bg-white/5 px-3 py-2 text-sm text-slate-300 transition hover:bg-white/10"
|
||||||
|
>
|
||||||
|
<ArrowLeft size={15} />
|
||||||
|
返回账户中心
|
||||||
|
</Link>
|
||||||
|
|
||||||
|
<section className="rounded-3xl border border-blue-400/20 bg-gradient-to-b from-[#162541] to-[#0e1730] p-6 md:p-8">
|
||||||
|
<div className="mb-5 flex items-center gap-3">
|
||||||
|
<ShieldCheck className="text-cyan-300" size={22} />
|
||||||
|
<h1 className="text-2xl font-bold md:text-3xl">PolyWeather Pro 订阅说明</h1>
|
||||||
|
</div>
|
||||||
|
<p className="text-sm text-slate-300 md:text-base">
|
||||||
|
这里是完整的订阅规则和支付说明。你可以先在页面内绑定钱包,再直接开通 Pro。
|
||||||
|
</p>
|
||||||
|
|
||||||
|
<div className="mt-6 grid gap-3 md:grid-cols-3">
|
||||||
|
<div className="rounded-2xl border border-white/10 bg-white/5 p-4">
|
||||||
|
<div className="mb-2 flex items-center gap-2 text-cyan-300">
|
||||||
|
<CreditCard size={16} />
|
||||||
|
<span className="text-sm font-semibold">订阅价格</span>
|
||||||
|
</div>
|
||||||
|
<p className="text-xl font-bold">5 USDC / 30 天</p>
|
||||||
|
</div>
|
||||||
|
<div className="rounded-2xl border border-white/10 bg-white/5 p-4">
|
||||||
|
<div className="mb-2 flex items-center gap-2 text-emerald-300">
|
||||||
|
<Coins size={16} />
|
||||||
|
<span className="text-sm font-semibold">积分抵扣</span>
|
||||||
|
</div>
|
||||||
|
<p className="text-xl font-bold">最多抵 3U</p>
|
||||||
|
</div>
|
||||||
|
<div className="rounded-2xl border border-white/10 bg-white/5 p-4">
|
||||||
|
<div className="mb-2 flex items-center gap-2 text-violet-300">
|
||||||
|
<MessageSquare size={16} />
|
||||||
|
<span className="text-sm font-semibold">社群积分</span>
|
||||||
|
</div>
|
||||||
|
<Link
|
||||||
|
href={TELEGRAM_GROUP_URL}
|
||||||
|
target="_blank"
|
||||||
|
className="text-sm font-semibold text-blue-300 underline decoration-blue-500/50 underline-offset-4"
|
||||||
|
>
|
||||||
|
加入社群即可赚取积分
|
||||||
|
</Link>
|
||||||
|
</div>
|
||||||
|
</div>
|
||||||
|
</section>
|
||||||
|
|
||||||
|
<section className="mt-6 rounded-3xl border border-white/10 bg-[#0f162a]/80 p-6 md:p-8">
|
||||||
|
<h2 className="mb-4 text-lg font-bold">常见问题</h2>
|
||||||
|
<div className="space-y-4">
|
||||||
|
{FAQ_ITEMS.map((item) => (
|
||||||
|
<article
|
||||||
|
key={item.q}
|
||||||
|
className="rounded-2xl border border-white/10 bg-white/[0.03] p-4"
|
||||||
|
>
|
||||||
|
<h3 className="mb-2 flex items-center gap-2 text-sm font-semibold text-blue-300">
|
||||||
|
<CheckCircle2 size={14} />
|
||||||
|
{item.q}
|
||||||
|
</h3>
|
||||||
|
<p className="text-sm leading-6 text-slate-300">{item.a}</p>
|
||||||
|
</article>
|
||||||
|
))}
|
||||||
|
</div>
|
||||||
|
</section>
|
||||||
|
</div>
|
||||||
|
</main>
|
||||||
|
);
|
||||||
|
}
|
||||||
@@ -0,0 +1,491 @@
|
|||||||
|
.page {
|
||||||
|
position: relative;
|
||||||
|
min-height: 100vh;
|
||||||
|
padding: 34px 20px 28px;
|
||||||
|
color: #e2ecff;
|
||||||
|
background:
|
||||||
|
radial-gradient(circle at 8% 8%, rgba(56, 189, 248, 0.24), transparent 38%),
|
||||||
|
radial-gradient(circle at 92% 10%, rgba(45, 212, 191, 0.2), transparent 34%),
|
||||||
|
radial-gradient(circle at 50% 120%, rgba(14, 165, 233, 0.26), transparent 40%),
|
||||||
|
#050b16;
|
||||||
|
overflow-x: hidden;
|
||||||
|
}
|
||||||
|
|
||||||
|
.aurora {
|
||||||
|
position: absolute;
|
||||||
|
inset: -10% -5% auto;
|
||||||
|
height: 340px;
|
||||||
|
background: linear-gradient(
|
||||||
|
95deg,
|
||||||
|
rgba(56, 189, 248, 0.2) 0%,
|
||||||
|
rgba(45, 212, 191, 0.12) 46%,
|
||||||
|
rgba(99, 102, 241, 0.08) 100%
|
||||||
|
);
|
||||||
|
filter: blur(58px);
|
||||||
|
pointer-events: none;
|
||||||
|
}
|
||||||
|
|
||||||
|
.gridNoise {
|
||||||
|
position: absolute;
|
||||||
|
inset: 0;
|
||||||
|
background-image:
|
||||||
|
linear-gradient(rgba(148, 163, 184, 0.06) 1px, transparent 1px),
|
||||||
|
linear-gradient(90deg, rgba(148, 163, 184, 0.06) 1px, transparent 1px);
|
||||||
|
background-size: 42px 42px;
|
||||||
|
mask-image: radial-gradient(circle at 50% 25%, black, transparent 72%);
|
||||||
|
pointer-events: none;
|
||||||
|
opacity: 0.22;
|
||||||
|
}
|
||||||
|
|
||||||
|
.shell {
|
||||||
|
position: relative;
|
||||||
|
width: min(1120px, 100%);
|
||||||
|
margin: 0 auto;
|
||||||
|
display: grid;
|
||||||
|
gap: 16px;
|
||||||
|
}
|
||||||
|
|
||||||
|
.topBar {
|
||||||
|
display: flex;
|
||||||
|
align-items: flex-start;
|
||||||
|
justify-content: space-between;
|
||||||
|
gap: 14px;
|
||||||
|
border: 1px solid rgba(148, 163, 184, 0.2);
|
||||||
|
background: rgba(15, 23, 42, 0.76);
|
||||||
|
backdrop-filter: blur(14px);
|
||||||
|
border-radius: 16px;
|
||||||
|
padding: 16px 18px;
|
||||||
|
}
|
||||||
|
|
||||||
|
.brandBlock {
|
||||||
|
display: grid;
|
||||||
|
gap: 5px;
|
||||||
|
}
|
||||||
|
|
||||||
|
.title {
|
||||||
|
margin: 0;
|
||||||
|
font-size: clamp(24px, 2.2vw, 30px);
|
||||||
|
line-height: 1.15;
|
||||||
|
letter-spacing: -0.02em;
|
||||||
|
color: #f8fbff;
|
||||||
|
}
|
||||||
|
|
||||||
|
.subtitle {
|
||||||
|
margin: 0;
|
||||||
|
font-size: 13px;
|
||||||
|
color: #8ea3c9;
|
||||||
|
}
|
||||||
|
|
||||||
|
.actions {
|
||||||
|
display: flex;
|
||||||
|
align-items: center;
|
||||||
|
gap: 8px;
|
||||||
|
}
|
||||||
|
|
||||||
|
.ghostBtn,
|
||||||
|
.primaryBtn {
|
||||||
|
display: inline-flex;
|
||||||
|
align-items: center;
|
||||||
|
justify-content: center;
|
||||||
|
gap: 6px;
|
||||||
|
height: 36px;
|
||||||
|
border-radius: 10px;
|
||||||
|
border: 1px solid rgba(148, 163, 184, 0.35);
|
||||||
|
padding: 0 12px;
|
||||||
|
color: #dce8ff;
|
||||||
|
font-size: 12px;
|
||||||
|
font-weight: 600;
|
||||||
|
text-decoration: none;
|
||||||
|
transition: all 0.22s ease;
|
||||||
|
background: rgba(15, 23, 42, 0.5);
|
||||||
|
cursor: pointer;
|
||||||
|
}
|
||||||
|
|
||||||
|
.ghostBtn:hover,
|
||||||
|
.primaryBtn:hover {
|
||||||
|
transform: translateY(-1px);
|
||||||
|
}
|
||||||
|
|
||||||
|
.ghostBtn:hover {
|
||||||
|
border-color: rgba(45, 212, 191, 0.45);
|
||||||
|
color: #f8fcff;
|
||||||
|
background: rgba(45, 212, 191, 0.12);
|
||||||
|
}
|
||||||
|
|
||||||
|
.primaryBtn {
|
||||||
|
border-color: rgba(56, 189, 248, 0.52);
|
||||||
|
background: linear-gradient(135deg, rgba(14, 116, 144, 0.88), rgba(6, 182, 212, 0.74));
|
||||||
|
color: #f6fcff;
|
||||||
|
box-shadow: 0 12px 26px rgba(8, 47, 73, 0.35);
|
||||||
|
}
|
||||||
|
|
||||||
|
.primaryBtn:hover {
|
||||||
|
border-color: rgba(103, 232, 249, 0.72);
|
||||||
|
box-shadow: 0 16px 30px rgba(14, 116, 144, 0.42);
|
||||||
|
}
|
||||||
|
|
||||||
|
.heroCard {
|
||||||
|
display: grid;
|
||||||
|
grid-template-columns: auto 1fr auto;
|
||||||
|
gap: 16px;
|
||||||
|
align-items: center;
|
||||||
|
border: 1px solid rgba(56, 189, 248, 0.24);
|
||||||
|
background:
|
||||||
|
linear-gradient(135deg, rgba(14, 116, 144, 0.17) 0%, rgba(15, 23, 42, 0.86) 58%),
|
||||||
|
rgba(15, 23, 42, 0.8);
|
||||||
|
border-radius: 18px;
|
||||||
|
padding: 18px 20px;
|
||||||
|
}
|
||||||
|
|
||||||
|
.avatar {
|
||||||
|
width: 64px;
|
||||||
|
height: 64px;
|
||||||
|
border-radius: 18px;
|
||||||
|
display: grid;
|
||||||
|
place-items: center;
|
||||||
|
font-size: 22px;
|
||||||
|
font-weight: 800;
|
||||||
|
color: #e7fbff;
|
||||||
|
border: 1px solid rgba(103, 232, 249, 0.45);
|
||||||
|
background: linear-gradient(135deg, rgba(6, 182, 212, 0.65), rgba(59, 130, 246, 0.56));
|
||||||
|
box-shadow: 0 18px 38px rgba(2, 132, 199, 0.28);
|
||||||
|
}
|
||||||
|
|
||||||
|
.heroMain {
|
||||||
|
display: grid;
|
||||||
|
gap: 8px;
|
||||||
|
}
|
||||||
|
|
||||||
|
.heroMain h2 {
|
||||||
|
margin: 0;
|
||||||
|
font-size: clamp(20px, 1.9vw, 28px);
|
||||||
|
letter-spacing: -0.02em;
|
||||||
|
color: #f8fcff;
|
||||||
|
}
|
||||||
|
|
||||||
|
.heroMain p {
|
||||||
|
margin: 0;
|
||||||
|
color: #a7bcdd;
|
||||||
|
font-size: 13px;
|
||||||
|
}
|
||||||
|
|
||||||
|
.badges {
|
||||||
|
display: flex;
|
||||||
|
align-items: center;
|
||||||
|
flex-wrap: wrap;
|
||||||
|
gap: 8px;
|
||||||
|
}
|
||||||
|
|
||||||
|
.badge,
|
||||||
|
.badgeWarn,
|
||||||
|
.badgeGhost {
|
||||||
|
display: inline-flex;
|
||||||
|
align-items: center;
|
||||||
|
gap: 6px;
|
||||||
|
border-radius: 999px;
|
||||||
|
padding: 5px 11px;
|
||||||
|
font-size: 12px;
|
||||||
|
font-weight: 600;
|
||||||
|
}
|
||||||
|
|
||||||
|
.badge {
|
||||||
|
border: 1px solid rgba(34, 197, 94, 0.45);
|
||||||
|
background: rgba(34, 197, 94, 0.12);
|
||||||
|
color: #86efac;
|
||||||
|
}
|
||||||
|
|
||||||
|
.badgeWarn {
|
||||||
|
border: 1px solid rgba(245, 158, 11, 0.46);
|
||||||
|
background: rgba(245, 158, 11, 0.13);
|
||||||
|
color: #fcd34d;
|
||||||
|
}
|
||||||
|
|
||||||
|
.badgeGhost {
|
||||||
|
border: 1px solid rgba(148, 163, 184, 0.34);
|
||||||
|
background: rgba(148, 163, 184, 0.12);
|
||||||
|
color: #cbd5e1;
|
||||||
|
}
|
||||||
|
|
||||||
|
.updatedText {
|
||||||
|
justify-self: end;
|
||||||
|
font-size: 12px;
|
||||||
|
color: #8ea3c9;
|
||||||
|
text-align: right;
|
||||||
|
font-variant-numeric: tabular-nums;
|
||||||
|
}
|
||||||
|
|
||||||
|
.noticeRow,
|
||||||
|
.errorRow {
|
||||||
|
display: inline-flex;
|
||||||
|
align-items: center;
|
||||||
|
gap: 8px;
|
||||||
|
border-radius: 12px;
|
||||||
|
padding: 11px 14px;
|
||||||
|
font-size: 13px;
|
||||||
|
}
|
||||||
|
|
||||||
|
.noticeRow {
|
||||||
|
border: 1px solid rgba(56, 189, 248, 0.3);
|
||||||
|
background: rgba(15, 23, 42, 0.75);
|
||||||
|
color: #bae6fd;
|
||||||
|
}
|
||||||
|
|
||||||
|
.errorRow {
|
||||||
|
border: 1px solid rgba(248, 113, 113, 0.44);
|
||||||
|
background: rgba(127, 29, 29, 0.34);
|
||||||
|
color: #fecaca;
|
||||||
|
}
|
||||||
|
|
||||||
|
.cards {
|
||||||
|
display: grid;
|
||||||
|
grid-template-columns: repeat(2, minmax(0, 1fr));
|
||||||
|
gap: 14px;
|
||||||
|
}
|
||||||
|
|
||||||
|
.card,
|
||||||
|
.cardWide {
|
||||||
|
border: 1px solid rgba(148, 163, 184, 0.2);
|
||||||
|
border-radius: 14px;
|
||||||
|
background:
|
||||||
|
linear-gradient(180deg, rgba(15, 23, 42, 0.84), rgba(15, 23, 42, 0.72)),
|
||||||
|
rgba(10, 15, 30, 0.78);
|
||||||
|
padding: 16px;
|
||||||
|
}
|
||||||
|
|
||||||
|
.cardWide {
|
||||||
|
grid-column: 1 / -1;
|
||||||
|
}
|
||||||
|
|
||||||
|
.card h3,
|
||||||
|
.cardWide h3 {
|
||||||
|
margin: 0 0 12px;
|
||||||
|
display: inline-flex;
|
||||||
|
align-items: center;
|
||||||
|
gap: 7px;
|
||||||
|
font-size: 15px;
|
||||||
|
color: #e6f0ff;
|
||||||
|
}
|
||||||
|
|
||||||
|
.metaList {
|
||||||
|
margin: 0;
|
||||||
|
display: grid;
|
||||||
|
gap: 10px;
|
||||||
|
}
|
||||||
|
|
||||||
|
.metaList > div {
|
||||||
|
display: flex;
|
||||||
|
align-items: center;
|
||||||
|
justify-content: space-between;
|
||||||
|
gap: 10px;
|
||||||
|
border-bottom: 1px dashed rgba(148, 163, 184, 0.22);
|
||||||
|
padding-bottom: 9px;
|
||||||
|
}
|
||||||
|
|
||||||
|
.metaList > div:last-child {
|
||||||
|
border-bottom: none;
|
||||||
|
padding-bottom: 0;
|
||||||
|
}
|
||||||
|
|
||||||
|
.metaList dt {
|
||||||
|
font-size: 12px;
|
||||||
|
color: #89a1c8;
|
||||||
|
}
|
||||||
|
|
||||||
|
.metaList dd {
|
||||||
|
margin: 0;
|
||||||
|
font-size: 13px;
|
||||||
|
color: #eff6ff;
|
||||||
|
max-width: 62%;
|
||||||
|
text-align: right;
|
||||||
|
word-break: break-word;
|
||||||
|
}
|
||||||
|
|
||||||
|
.mono {
|
||||||
|
font-family: "Consolas", "SFMono-Regular", "Menlo", monospace;
|
||||||
|
font-size: 12px !important;
|
||||||
|
color: #c7d2fe !important;
|
||||||
|
}
|
||||||
|
|
||||||
|
.hint {
|
||||||
|
margin: 0 0 12px;
|
||||||
|
font-size: 13px;
|
||||||
|
color: #9ab0d2;
|
||||||
|
line-height: 1.6;
|
||||||
|
}
|
||||||
|
|
||||||
|
.commandRow {
|
||||||
|
display: flex;
|
||||||
|
align-items: center;
|
||||||
|
gap: 10px;
|
||||||
|
flex-wrap: wrap;
|
||||||
|
}
|
||||||
|
|
||||||
|
.command {
|
||||||
|
flex: 1 1 420px;
|
||||||
|
min-height: 40px;
|
||||||
|
display: flex;
|
||||||
|
align-items: center;
|
||||||
|
border-radius: 10px;
|
||||||
|
border: 1px solid rgba(103, 232, 249, 0.24);
|
||||||
|
background: rgba(8, 47, 73, 0.32);
|
||||||
|
color: #d1f9ff;
|
||||||
|
padding: 0 12px;
|
||||||
|
font-size: 12px;
|
||||||
|
white-space: pre-wrap;
|
||||||
|
word-break: break-all;
|
||||||
|
}
|
||||||
|
|
||||||
|
.copyBtn {
|
||||||
|
height: 36px;
|
||||||
|
border-radius: 9px;
|
||||||
|
border: 1px solid rgba(45, 212, 191, 0.48);
|
||||||
|
background: rgba(20, 184, 166, 0.12);
|
||||||
|
color: #99f6e4;
|
||||||
|
padding: 0 12px;
|
||||||
|
display: inline-flex;
|
||||||
|
align-items: center;
|
||||||
|
gap: 6px;
|
||||||
|
font-size: 12px;
|
||||||
|
font-weight: 700;
|
||||||
|
cursor: pointer;
|
||||||
|
transition: all 0.2s ease;
|
||||||
|
}
|
||||||
|
|
||||||
|
.copyBtn:hover {
|
||||||
|
background: rgba(20, 184, 166, 0.22);
|
||||||
|
border-color: rgba(94, 234, 212, 0.78);
|
||||||
|
color: #ecfeff;
|
||||||
|
}
|
||||||
|
|
||||||
|
.spin {
|
||||||
|
animation: spin 0.9s linear infinite;
|
||||||
|
}
|
||||||
|
|
||||||
|
@keyframes spin {
|
||||||
|
100% {
|
||||||
|
transform: rotate(360deg);
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
@media (max-width: 900px) {
|
||||||
|
.topBar {
|
||||||
|
flex-direction: column;
|
||||||
|
align-items: stretch;
|
||||||
|
}
|
||||||
|
|
||||||
|
.actions {
|
||||||
|
flex-wrap: wrap;
|
||||||
|
}
|
||||||
|
|
||||||
|
.heroCard {
|
||||||
|
grid-template-columns: auto 1fr;
|
||||||
|
align-items: start;
|
||||||
|
}
|
||||||
|
|
||||||
|
.updatedText {
|
||||||
|
grid-column: 1 / -1;
|
||||||
|
justify-self: start;
|
||||||
|
}
|
||||||
|
|
||||||
|
.cards {
|
||||||
|
grid-template-columns: 1fr;
|
||||||
|
}
|
||||||
|
|
||||||
|
.metaList dd {
|
||||||
|
max-width: 56%;
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
@media (max-width: 560px) {
|
||||||
|
.page {
|
||||||
|
padding: 18px 12px 20px;
|
||||||
|
}
|
||||||
|
|
||||||
|
.topBar,
|
||||||
|
.heroCard,
|
||||||
|
.card,
|
||||||
|
.cardWide {
|
||||||
|
border-radius: 12px;
|
||||||
|
padding: 13px;
|
||||||
|
}
|
||||||
|
|
||||||
|
.ghostBtn,
|
||||||
|
.primaryBtn {
|
||||||
|
width: 100%;
|
||||||
|
}
|
||||||
|
|
||||||
|
.actions {
|
||||||
|
flex-direction: column;
|
||||||
|
align-items: stretch;
|
||||||
|
}
|
||||||
|
|
||||||
|
.ghostBtn,
|
||||||
|
.primaryBtn {
|
||||||
|
min-height: 40px;
|
||||||
|
justify-content: center;
|
||||||
|
}
|
||||||
|
|
||||||
|
.title {
|
||||||
|
font-size: 22px;
|
||||||
|
}
|
||||||
|
|
||||||
|
.subtitle {
|
||||||
|
font-size: 12px;
|
||||||
|
}
|
||||||
|
|
||||||
|
.heroCard {
|
||||||
|
grid-template-columns: 1fr;
|
||||||
|
gap: 12px;
|
||||||
|
}
|
||||||
|
|
||||||
|
.avatar {
|
||||||
|
width: 56px;
|
||||||
|
height: 56px;
|
||||||
|
border-radius: 16px;
|
||||||
|
font-size: 20px;
|
||||||
|
}
|
||||||
|
|
||||||
|
.heroMain h2 {
|
||||||
|
font-size: 22px;
|
||||||
|
}
|
||||||
|
|
||||||
|
.updatedText {
|
||||||
|
text-align: left;
|
||||||
|
}
|
||||||
|
|
||||||
|
.metaList > div {
|
||||||
|
flex-direction: column;
|
||||||
|
align-items: flex-start;
|
||||||
|
gap: 4px;
|
||||||
|
}
|
||||||
|
|
||||||
|
.metaList dd {
|
||||||
|
max-width: 100%;
|
||||||
|
text-align: left;
|
||||||
|
}
|
||||||
|
|
||||||
|
.commandRow {
|
||||||
|
flex-direction: column;
|
||||||
|
align-items: stretch;
|
||||||
|
}
|
||||||
|
|
||||||
|
.command {
|
||||||
|
flex: 1 1 auto;
|
||||||
|
width: 100%;
|
||||||
|
min-height: 48px;
|
||||||
|
padding: 10px 12px;
|
||||||
|
}
|
||||||
|
|
||||||
|
.copyBtn {
|
||||||
|
width: 100%;
|
||||||
|
justify-content: center;
|
||||||
|
}
|
||||||
|
|
||||||
|
.noticeRow,
|
||||||
|
.errorRow {
|
||||||
|
width: 100%;
|
||||||
|
align-items: flex-start;
|
||||||
|
line-height: 1.5;
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
File diff suppressed because it is too large
Load Diff
@@ -0,0 +1,29 @@
|
|||||||
|
"use client";
|
||||||
|
|
||||||
|
import dynamic from "next/dynamic";
|
||||||
|
|
||||||
|
const AccountCenter = dynamic(
|
||||||
|
() =>
|
||||||
|
import("@/components/account/AccountCenter").then(
|
||||||
|
(module) => module.AccountCenter,
|
||||||
|
),
|
||||||
|
{
|
||||||
|
ssr: false,
|
||||||
|
loading: () => (
|
||||||
|
<div className="min-h-screen bg-slate-950 text-slate-300">
|
||||||
|
<div className="mx-auto w-full max-w-6xl px-6 py-10">
|
||||||
|
<div className="h-7 w-48 animate-pulse rounded bg-slate-800/80" />
|
||||||
|
<div className="mt-6 grid grid-cols-1 gap-4 md:grid-cols-3">
|
||||||
|
<div className="h-32 animate-pulse rounded-3xl bg-slate-800/70 md:col-span-2" />
|
||||||
|
<div className="h-32 animate-pulse rounded-3xl bg-slate-800/70" />
|
||||||
|
</div>
|
||||||
|
<div className="mt-6 h-72 animate-pulse rounded-3xl bg-slate-800/60" />
|
||||||
|
</div>
|
||||||
|
</div>
|
||||||
|
),
|
||||||
|
},
|
||||||
|
);
|
||||||
|
|
||||||
|
export function AccountEntry() {
|
||||||
|
return <AccountCenter />;
|
||||||
|
}
|
||||||
@@ -0,0 +1,301 @@
|
|||||||
|
"use client";
|
||||||
|
|
||||||
|
import { FormEvent, useEffect, useState } from "react";
|
||||||
|
import Link from "next/link";
|
||||||
|
import { useRouter } from "next/navigation";
|
||||||
|
import {
|
||||||
|
ArrowRight,
|
||||||
|
ChevronLeft,
|
||||||
|
Chrome,
|
||||||
|
Cloud,
|
||||||
|
CloudRain,
|
||||||
|
Lock,
|
||||||
|
Mail,
|
||||||
|
Sun,
|
||||||
|
} from "lucide-react";
|
||||||
|
import {
|
||||||
|
getSupabaseBrowserClient,
|
||||||
|
hasSupabasePublicEnv,
|
||||||
|
} from "@/lib/supabase/client";
|
||||||
|
import { useI18n } from "@/hooks/useI18n";
|
||||||
|
|
||||||
|
type Mode = "login" | "signup";
|
||||||
|
|
||||||
|
type LoginClientProps = {
|
||||||
|
nextPath: string;
|
||||||
|
};
|
||||||
|
|
||||||
|
export function LoginClient({ nextPath }: LoginClientProps) {
|
||||||
|
const router = useRouter();
|
||||||
|
const { locale } = useI18n();
|
||||||
|
const [mode, setMode] = useState<Mode>("login");
|
||||||
|
const [email, setEmail] = useState("");
|
||||||
|
const [password, setPassword] = useState("");
|
||||||
|
const [loading, setLoading] = useState(false);
|
||||||
|
const [errorText, setErrorText] = useState("");
|
||||||
|
const [infoText, setInfoText] = useState("");
|
||||||
|
|
||||||
|
const supabaseReady = hasSupabasePublicEnv();
|
||||||
|
const isEn = locale === "en-US";
|
||||||
|
const copy = {
|
||||||
|
backHome: isEn ? "Back to Home" : "返回首页",
|
||||||
|
subtitle: isEn
|
||||||
|
? "Explore weather details from every corner of the world"
|
||||||
|
: "探索世界每一个角落的气象细节",
|
||||||
|
googleOneClick: isEn
|
||||||
|
? "Continue with Google"
|
||||||
|
: "使用 Google 账号一键登录",
|
||||||
|
orEmail: isEn ? "Or continue with email" : "或使用邮箱",
|
||||||
|
login: isEn ? "Sign In" : "登录",
|
||||||
|
signup: isEn ? "Sign Up" : "注册",
|
||||||
|
passwordLoginPlaceholder: isEn ? "Enter password" : "输入密码",
|
||||||
|
passwordSignupPlaceholder: isEn
|
||||||
|
? "Set at least 6 characters"
|
||||||
|
: "设置至少 6 位密码",
|
||||||
|
loginSubmit: isEn ? "Start your weather journey" : "开启天气之旅",
|
||||||
|
signupSubmit: isEn ? "Create account now" : "立即创建账号",
|
||||||
|
loginHint: isEn
|
||||||
|
? "After signing in, your homepage will be personalized."
|
||||||
|
: "登录后将为您个性化定制首页数据",
|
||||||
|
signupHint: isEn
|
||||||
|
? "By signing up, you agree to our Terms of Service."
|
||||||
|
: "注册即代表同意我们的服务条款",
|
||||||
|
realtime: isEn ? "Realtime data" : "实时数据",
|
||||||
|
highPrecision: isEn ? "High-precision forecast" : "高精度预测",
|
||||||
|
supabaseMissing: isEn
|
||||||
|
? "Supabase is not configured. Sign-in is unavailable."
|
||||||
|
: "Supabase 未配置,无法使用登录",
|
||||||
|
needEmailPassword: isEn
|
||||||
|
? "Please enter email and password."
|
||||||
|
: "请输入邮箱和密码",
|
||||||
|
signupCheckEmail: isEn
|
||||||
|
? "Sign-up successful. Please verify your email before signing in."
|
||||||
|
: "注册成功,请检查邮箱并完成验证后登录。",
|
||||||
|
} as const;
|
||||||
|
|
||||||
|
useEffect(() => {
|
||||||
|
if (!supabaseReady) return;
|
||||||
|
const run = async () => {
|
||||||
|
const supabase = getSupabaseBrowserClient();
|
||||||
|
const {
|
||||||
|
data: { session },
|
||||||
|
} = await supabase.auth.getSession();
|
||||||
|
if (session?.user) {
|
||||||
|
router.replace(nextPath);
|
||||||
|
}
|
||||||
|
};
|
||||||
|
void run();
|
||||||
|
}, [nextPath, router, supabaseReady]);
|
||||||
|
|
||||||
|
const onGoogleSignIn = async () => {
|
||||||
|
setErrorText("");
|
||||||
|
setInfoText("");
|
||||||
|
if (!supabaseReady) {
|
||||||
|
setErrorText(copy.supabaseMissing);
|
||||||
|
return;
|
||||||
|
}
|
||||||
|
|
||||||
|
setLoading(true);
|
||||||
|
try {
|
||||||
|
const supabase = getSupabaseBrowserClient();
|
||||||
|
const redirectTo = `${window.location.origin}/auth/callback?next=${encodeURIComponent(
|
||||||
|
nextPath,
|
||||||
|
)}`;
|
||||||
|
const { error } = await supabase.auth.signInWithOAuth({
|
||||||
|
provider: "google",
|
||||||
|
options: {
|
||||||
|
redirectTo,
|
||||||
|
},
|
||||||
|
});
|
||||||
|
if (error) {
|
||||||
|
setErrorText(error.message);
|
||||||
|
}
|
||||||
|
} finally {
|
||||||
|
setLoading(false);
|
||||||
|
}
|
||||||
|
};
|
||||||
|
|
||||||
|
const onEmailSubmit = async (event: FormEvent<HTMLFormElement>) => {
|
||||||
|
event.preventDefault();
|
||||||
|
setErrorText("");
|
||||||
|
setInfoText("");
|
||||||
|
if (!supabaseReady) {
|
||||||
|
setErrorText(copy.supabaseMissing);
|
||||||
|
return;
|
||||||
|
}
|
||||||
|
if (!email.trim() || !password.trim()) {
|
||||||
|
setErrorText(copy.needEmailPassword);
|
||||||
|
return;
|
||||||
|
}
|
||||||
|
|
||||||
|
setLoading(true);
|
||||||
|
try {
|
||||||
|
const supabase = getSupabaseBrowserClient();
|
||||||
|
if (mode === "login") {
|
||||||
|
const { error } = await supabase.auth.signInWithPassword({
|
||||||
|
email: email.trim(),
|
||||||
|
password,
|
||||||
|
});
|
||||||
|
if (error) {
|
||||||
|
setErrorText(error.message);
|
||||||
|
return;
|
||||||
|
}
|
||||||
|
router.replace(nextPath);
|
||||||
|
return;
|
||||||
|
}
|
||||||
|
|
||||||
|
const emailRedirectTo = `${window.location.origin}/auth/callback?next=${encodeURIComponent(
|
||||||
|
nextPath,
|
||||||
|
)}`;
|
||||||
|
const { data, error } = await supabase.auth.signUp({
|
||||||
|
email: email.trim(),
|
||||||
|
password,
|
||||||
|
options: {
|
||||||
|
emailRedirectTo,
|
||||||
|
},
|
||||||
|
});
|
||||||
|
if (error) {
|
||||||
|
setErrorText(error.message);
|
||||||
|
return;
|
||||||
|
}
|
||||||
|
if (data.session?.user) {
|
||||||
|
router.replace(nextPath);
|
||||||
|
return;
|
||||||
|
}
|
||||||
|
setInfoText(copy.signupCheckEmail);
|
||||||
|
} finally {
|
||||||
|
setLoading(false);
|
||||||
|
}
|
||||||
|
};
|
||||||
|
|
||||||
|
const isLogin = mode === "login";
|
||||||
|
|
||||||
|
return (
|
||||||
|
<div className="relative flex min-h-screen w-full items-center justify-center overflow-hidden bg-[#0f172a] font-sans">
|
||||||
|
<div className="absolute left-[-10%] top-[-10%] h-[40vw] w-[40vw] animate-pulse rounded-full bg-blue-600/20 blur-[120px]" />
|
||||||
|
<div className="absolute bottom-[-10%] right-[-10%] h-[30vw] w-[30vw] rounded-full bg-indigo-500/20 blur-[100px]" />
|
||||||
|
|
||||||
|
<div className="relative mx-4 w-full max-w-[420px] rounded-[2rem] border border-white/10 bg-white/5 p-8 shadow-2xl backdrop-blur-xl">
|
||||||
|
<Link
|
||||||
|
href="/"
|
||||||
|
className="group absolute left-6 top-6 rounded-full border border-white/10 bg-white/5 p-2 text-slate-400 transition-all hover:bg-white/10 hover:text-white active:scale-90"
|
||||||
|
title={copy.backHome}
|
||||||
|
aria-label={copy.backHome}
|
||||||
|
>
|
||||||
|
<ChevronLeft className="h-5 w-5 transition-transform group-hover:-translate-x-0.5" />
|
||||||
|
</Link>
|
||||||
|
<div className="mb-8 flex flex-col items-center">
|
||||||
|
<div className="mb-4 flex h-16 w-16 items-center justify-center rounded-2xl bg-gradient-to-tr from-blue-500 to-indigo-400 shadow-lg shadow-blue-500/20">
|
||||||
|
<Cloud className="h-10 w-10 text-white" />
|
||||||
|
</div>
|
||||||
|
<h1 className="text-3xl font-bold tracking-tight text-white">PolyWeather</h1>
|
||||||
|
<p className="mt-2 text-sm text-slate-400">{copy.subtitle}</p>
|
||||||
|
</div>
|
||||||
|
|
||||||
|
<button
|
||||||
|
type="button"
|
||||||
|
onClick={() => void onGoogleSignIn()}
|
||||||
|
disabled={loading}
|
||||||
|
className="mb-6 flex w-full items-center justify-center rounded-xl bg-white px-4 py-3.5 font-semibold text-slate-900 shadow-lg transition-all duration-200 hover:bg-slate-100 active:scale-[0.98] disabled:cursor-not-allowed disabled:opacity-70"
|
||||||
|
>
|
||||||
|
<Chrome className="mr-3 h-5 w-5" />
|
||||||
|
{copy.googleOneClick}
|
||||||
|
</button>
|
||||||
|
|
||||||
|
<div className="my-6 flex items-center">
|
||||||
|
<div className="h-[1px] flex-grow bg-white/10" />
|
||||||
|
<span className="px-4 text-xs font-medium uppercase tracking-widest text-slate-500">
|
||||||
|
{copy.orEmail}
|
||||||
|
</span>
|
||||||
|
<div className="h-[1px] flex-grow bg-white/10" />
|
||||||
|
</div>
|
||||||
|
|
||||||
|
<div className="mb-6 flex rounded-xl bg-black/20 p-1">
|
||||||
|
<button
|
||||||
|
type="button"
|
||||||
|
onClick={() => setMode("login")}
|
||||||
|
className={`flex-1 rounded-lg py-2 text-sm font-medium transition-all ${
|
||||||
|
isLogin
|
||||||
|
? "bg-blue-600 text-white shadow-md"
|
||||||
|
: "text-slate-400 hover:text-slate-200"
|
||||||
|
}`}
|
||||||
|
>
|
||||||
|
{copy.login}
|
||||||
|
</button>
|
||||||
|
<button
|
||||||
|
type="button"
|
||||||
|
onClick={() => setMode("signup")}
|
||||||
|
className={`flex-1 rounded-lg py-2 text-sm font-medium transition-all ${
|
||||||
|
!isLogin
|
||||||
|
? "bg-blue-600 text-white shadow-md"
|
||||||
|
: "text-slate-400 hover:text-slate-200"
|
||||||
|
}`}
|
||||||
|
>
|
||||||
|
{copy.signup}
|
||||||
|
</button>
|
||||||
|
</div>
|
||||||
|
|
||||||
|
<form onSubmit={(event) => void onEmailSubmit(event)} className="space-y-4">
|
||||||
|
<div className="relative">
|
||||||
|
<Mail className="absolute left-4 top-1/2 h-5 w-5 -translate-y-1/2 text-slate-500" />
|
||||||
|
<input
|
||||||
|
type="email"
|
||||||
|
required
|
||||||
|
value={email}
|
||||||
|
onChange={(event) => setEmail(event.target.value)}
|
||||||
|
placeholder="you@example.com"
|
||||||
|
className="w-full rounded-xl border border-white/10 bg-white/5 py-3.5 pl-12 pr-4 text-white placeholder:text-slate-600 transition-all focus:border-blue-500/50 focus:outline-none focus:ring-2 focus:ring-blue-500/50"
|
||||||
|
/>
|
||||||
|
</div>
|
||||||
|
<div className="relative">
|
||||||
|
<Lock className="absolute left-4 top-1/2 h-5 w-5 -translate-y-1/2 text-slate-500" />
|
||||||
|
<input
|
||||||
|
type="password"
|
||||||
|
required
|
||||||
|
minLength={6}
|
||||||
|
value={password}
|
||||||
|
onChange={(event) => setPassword(event.target.value)}
|
||||||
|
placeholder={
|
||||||
|
isLogin
|
||||||
|
? copy.passwordLoginPlaceholder
|
||||||
|
: copy.passwordSignupPlaceholder
|
||||||
|
}
|
||||||
|
className="w-full rounded-xl border border-white/10 bg-white/5 py-3.5 pl-12 pr-4 text-white placeholder:text-slate-600 transition-all focus:border-blue-500/50 focus:outline-none focus:ring-2 focus:ring-blue-500/50"
|
||||||
|
/>
|
||||||
|
</div>
|
||||||
|
|
||||||
|
<button
|
||||||
|
type="submit"
|
||||||
|
disabled={loading}
|
||||||
|
className="group mt-8 flex w-full items-center justify-center rounded-xl bg-gradient-to-r from-blue-600 to-indigo-600 py-3.5 font-bold text-white shadow-xl shadow-blue-600/20 transition-all hover:from-blue-500 hover:to-indigo-500 active:scale-[0.98] disabled:cursor-not-allowed disabled:opacity-70"
|
||||||
|
>
|
||||||
|
{isLogin ? copy.loginSubmit : copy.signupSubmit}
|
||||||
|
<ArrowRight className="ml-2 h-5 w-5 transition-transform group-hover:translate-x-1" />
|
||||||
|
</button>
|
||||||
|
</form>
|
||||||
|
|
||||||
|
{errorText ? <p className="mt-4 text-sm text-rose-300">{errorText}</p> : null}
|
||||||
|
{infoText ? <p className="mt-4 text-sm text-emerald-300">{infoText}</p> : null}
|
||||||
|
|
||||||
|
<div className="mt-8 text-center">
|
||||||
|
<p className="text-xs text-slate-500">
|
||||||
|
{isLogin ? copy.loginHint : copy.signupHint}
|
||||||
|
</p>
|
||||||
|
</div>
|
||||||
|
|
||||||
|
{!supabaseReady ? (
|
||||||
|
<p className="mt-3 text-center text-sm text-rose-300">{copy.supabaseMissing}</p>
|
||||||
|
) : null}
|
||||||
|
</div>
|
||||||
|
|
||||||
|
<div className="absolute bottom-8 flex items-center gap-4 text-sm text-slate-600">
|
||||||
|
<span className="flex items-center">
|
||||||
|
<Sun className="mr-1 h-4 w-4" /> {copy.realtime}
|
||||||
|
</span>
|
||||||
|
<span className="flex items-center">
|
||||||
|
<CloudRain className="mr-1 h-4 w-4" /> {copy.highPrecision}
|
||||||
|
</span>
|
||||||
|
</div>
|
||||||
|
</div>
|
||||||
|
);
|
||||||
|
}
|
||||||
@@ -1,6 +1,6 @@
|
|||||||
"use client";
|
"use client";
|
||||||
|
|
||||||
import { useEffect, useMemo, useState } from "react";
|
import { startTransition, useEffect, useMemo, useState } from "react";
|
||||||
import clsx from "clsx";
|
import clsx from "clsx";
|
||||||
import { useDashboardStore } from "@/hooks/useDashboardStore";
|
import { useDashboardStore } from "@/hooks/useDashboardStore";
|
||||||
import { useI18n } from "@/hooks/useI18n";
|
import { useI18n } from "@/hooks/useI18n";
|
||||||
@@ -57,18 +57,19 @@ export function CitySidebar() {
|
|||||||
Record<RiskGroupKey, boolean>
|
Record<RiskGroupKey, boolean>
|
||||||
>(DEFAULT_EXPANDED_GROUPS);
|
>(DEFAULT_EXPANDED_GROUPS);
|
||||||
|
|
||||||
const sortedCities = useMemo(() => [...store.cities].sort((a, b) => {
|
const sortedCities = useMemo(
|
||||||
const aSelected = a.name === selectedCity;
|
() =>
|
||||||
const bSelected = b.name === selectedCity;
|
[...store.cities].sort((a, b) => {
|
||||||
if (aSelected !== bSelected) return aSelected ? -1 : 1;
|
const aGroup = toRiskGroup(a.risk_level);
|
||||||
const aGroup = toRiskGroup(a.risk_level);
|
const bGroup = toRiskGroup(b.risk_level);
|
||||||
const bGroup = toRiskGroup(b.risk_level);
|
return (
|
||||||
return (
|
(riskOrder[aGroup] ?? 3) -
|
||||||
(riskOrder[aGroup] ?? 3) -
|
(riskOrder[bGroup] ?? 3) ||
|
||||||
(riskOrder[bGroup] ?? 3) ||
|
a.display_name.localeCompare(b.display_name)
|
||||||
a.display_name.localeCompare(b.display_name)
|
);
|
||||||
);
|
}),
|
||||||
}), [store.cities, selectedCity]);
|
[store.cities],
|
||||||
|
);
|
||||||
|
|
||||||
const groupedCities = useMemo(() => {
|
const groupedCities = useMemo(() => {
|
||||||
const groups: Record<RiskGroupKey, CityListItem[]> = {
|
const groups: Record<RiskGroupKey, CityListItem[]> = {
|
||||||
@@ -164,13 +165,34 @@ export function CitySidebar() {
|
|||||||
const summary = store.citySummariesByName[city.name];
|
const summary = store.citySummariesByName[city.name];
|
||||||
const snapshot = detail || summary;
|
const snapshot = detail || summary;
|
||||||
const isActive = store.selectedCity === city.name;
|
const isActive = store.selectedCity === city.name;
|
||||||
|
const tempSymbol = snapshot?.temp_symbol || "°C";
|
||||||
|
const currentTempText =
|
||||||
|
snapshot?.current?.temp != null
|
||||||
|
? t("sidebar.currentTemp", {
|
||||||
|
temp: `${snapshot.current.temp}${tempSymbol}`,
|
||||||
|
})
|
||||||
|
: t("common.na");
|
||||||
|
const peakTempText =
|
||||||
|
detail?.current?.max_so_far != null &&
|
||||||
|
detail.current.max_temp_time
|
||||||
|
? t("sidebar.peakTempAt", {
|
||||||
|
temp: `${detail.current.max_so_far}${tempSymbol}`,
|
||||||
|
time: detail.current.max_temp_time,
|
||||||
|
})
|
||||||
|
: detail?.current?.max_temp_time
|
||||||
|
? t("sidebar.peakAt", { time: detail.current.max_temp_time })
|
||||||
|
: "";
|
||||||
|
|
||||||
return (
|
return (
|
||||||
<button
|
<button
|
||||||
key={city.name}
|
key={city.name}
|
||||||
type="button"
|
type="button"
|
||||||
className={clsx("city-item", isActive && "active")}
|
className={clsx("city-item", isActive && "active")}
|
||||||
onClick={() => void store.selectCity(city.name)}
|
onClick={() =>
|
||||||
|
startTransition(() => {
|
||||||
|
void store.selectCity(city.name);
|
||||||
|
})
|
||||||
|
}
|
||||||
>
|
>
|
||||||
<div className="city-item-main">
|
<div className="city-item-main">
|
||||||
<span className={clsx("risk-dot", city.risk_level)} />
|
<span className={clsx("risk-dot", city.risk_level)} />
|
||||||
@@ -181,9 +203,7 @@ export function CitySidebar() {
|
|||||||
snapshot?.current?.temp != null && "loaded",
|
snapshot?.current?.temp != null && "loaded",
|
||||||
)}
|
)}
|
||||||
>
|
>
|
||||||
{snapshot?.current?.temp != null
|
{currentTempText}
|
||||||
? `${snapshot.current.temp}${snapshot.temp_symbol || "°C"}`
|
|
||||||
: t("common.na")}
|
|
||||||
</span>
|
</span>
|
||||||
</div>
|
</div>
|
||||||
|
|
||||||
@@ -191,11 +211,7 @@ export function CitySidebar() {
|
|||||||
<span className="city-local-time">
|
<span className="city-local-time">
|
||||||
{snapshot?.local_time ? `🕒 ${snapshot.local_time}` : ""}
|
{snapshot?.local_time ? `🕒 ${snapshot.local_time}` : ""}
|
||||||
</span>
|
</span>
|
||||||
<span className="city-max-info">
|
<span className="city-max-info">{peakTempText}</span>
|
||||||
{detail?.current?.max_temp_time
|
|
||||||
? t("sidebar.peakAt", { time: detail.current.max_temp_time })
|
|
||||||
: ""}
|
|
||||||
</span>
|
|
||||||
</div>
|
</div>
|
||||||
</button>
|
</button>
|
||||||
);
|
);
|
||||||
|
|||||||
@@ -549,6 +549,25 @@
|
|||||||
flex-wrap: wrap;
|
flex-wrap: wrap;
|
||||||
}
|
}
|
||||||
|
|
||||||
|
.root :global(.pro-locked) {
|
||||||
|
filter: grayscale(0.8) opacity(0.7);
|
||||||
|
position: relative;
|
||||||
|
}
|
||||||
|
|
||||||
|
.root :global(.pro-locked::after) {
|
||||||
|
content: "PRO";
|
||||||
|
position: absolute;
|
||||||
|
top: -4px;
|
||||||
|
right: -4px;
|
||||||
|
background: var(--accent-blue);
|
||||||
|
color: white;
|
||||||
|
font-size: 7px;
|
||||||
|
padding: 1px 3px;
|
||||||
|
border-radius: 3px;
|
||||||
|
font-weight: 900;
|
||||||
|
box-shadow: 0 2px 4px rgba(0, 0, 0, 0.3);
|
||||||
|
}
|
||||||
|
|
||||||
.root :global(.risk-badge) {
|
.root :global(.risk-badge) {
|
||||||
font-size: 11px;
|
font-size: 11px;
|
||||||
font-weight: 600;
|
font-weight: 600;
|
||||||
@@ -1373,8 +1392,58 @@
|
|||||||
}
|
}
|
||||||
|
|
||||||
@media (max-width: 768px) {
|
@media (max-width: 768px) {
|
||||||
|
.root :global(.header) {
|
||||||
|
height: auto;
|
||||||
|
min-height: var(--header-height);
|
||||||
|
align-items: flex-start;
|
||||||
|
gap: 10px;
|
||||||
|
padding: 10px 12px;
|
||||||
|
}
|
||||||
|
|
||||||
|
.root :global(.brand) {
|
||||||
|
align-items: flex-start;
|
||||||
|
gap: 8px;
|
||||||
|
min-width: 0;
|
||||||
|
}
|
||||||
|
|
||||||
|
.root :global(.header-right) {
|
||||||
|
flex: 1 1 auto;
|
||||||
|
justify-content: flex-end;
|
||||||
|
flex-wrap: wrap;
|
||||||
|
gap: 8px;
|
||||||
|
min-width: 0;
|
||||||
|
}
|
||||||
|
|
||||||
|
.root :global(.lang-switch) {
|
||||||
|
order: 1;
|
||||||
|
}
|
||||||
|
|
||||||
|
.root :global(.account-btn),
|
||||||
|
.root :global(.info-btn) {
|
||||||
|
padding: 6px 10px;
|
||||||
|
font-size: 12px;
|
||||||
|
}
|
||||||
|
|
||||||
|
.root :global(.live-badge) {
|
||||||
|
order: 4;
|
||||||
|
padding: 4px 10px;
|
||||||
|
white-space: nowrap;
|
||||||
|
}
|
||||||
|
|
||||||
|
.root :global(.refresh-btn) {
|
||||||
|
order: 5;
|
||||||
|
}
|
||||||
|
|
||||||
.root :global(.city-list) {
|
.root :global(.city-list) {
|
||||||
display: none;
|
display: flex;
|
||||||
|
top: auto;
|
||||||
|
left: 8px;
|
||||||
|
right: 8px;
|
||||||
|
bottom: 8px;
|
||||||
|
width: auto;
|
||||||
|
max-height: min(36vh, 320px);
|
||||||
|
border-radius: 14px;
|
||||||
|
z-index: 920;
|
||||||
}
|
}
|
||||||
.root :global(.detail-panel) {
|
.root :global(.detail-panel) {
|
||||||
width: 100%;
|
width: 100%;
|
||||||
@@ -1382,15 +1451,97 @@
|
|||||||
.root {
|
.root {
|
||||||
--panel-width: 100%;
|
--panel-width: 100%;
|
||||||
}
|
}
|
||||||
|
|
||||||
|
.root :global(.city-list-header) {
|
||||||
|
padding: 12px 14px;
|
||||||
|
font-size: 14px;
|
||||||
|
}
|
||||||
|
|
||||||
|
.root :global(.city-list-items) {
|
||||||
|
padding: 6px;
|
||||||
|
}
|
||||||
|
|
||||||
|
.root :global(.city-group-header) {
|
||||||
|
padding: 8px 9px;
|
||||||
|
}
|
||||||
|
|
||||||
|
.root :global(.city-item) {
|
||||||
|
padding: 8px 9px;
|
||||||
|
}
|
||||||
|
|
||||||
|
.root :global(.city-item .city-name-text),
|
||||||
|
.root :global(.city-item .city-temp) {
|
||||||
|
font-size: 12px;
|
||||||
|
}
|
||||||
|
|
||||||
|
.root :global(.city-item-info) {
|
||||||
|
padding-left: 18px;
|
||||||
|
flex-wrap: wrap;
|
||||||
|
row-gap: 4px;
|
||||||
|
}
|
||||||
|
|
||||||
|
.root :global(.panel-header) {
|
||||||
|
padding: 16px 16px 14px;
|
||||||
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
@media (max-width: 600px) {
|
@media (max-width: 600px) {
|
||||||
|
.root :global(.header) {
|
||||||
|
flex-direction: column;
|
||||||
|
align-items: stretch;
|
||||||
|
gap: 8px;
|
||||||
|
padding: 8px 10px;
|
||||||
|
}
|
||||||
|
|
||||||
|
.root :global(.brand) {
|
||||||
|
justify-content: space-between;
|
||||||
|
width: 100%;
|
||||||
|
}
|
||||||
|
|
||||||
.root :global(.subtitle) {
|
.root :global(.subtitle) {
|
||||||
display: none;
|
display: none;
|
||||||
}
|
}
|
||||||
.root :global(.brand h1) {
|
.root :global(.brand h1) {
|
||||||
font-size: 16px;
|
font-size: 16px;
|
||||||
}
|
}
|
||||||
|
|
||||||
|
.root :global(.header-right) {
|
||||||
|
width: 100%;
|
||||||
|
justify-content: flex-start;
|
||||||
|
gap: 6px;
|
||||||
|
}
|
||||||
|
|
||||||
|
.root :global(.lang-switch) {
|
||||||
|
margin-right: auto;
|
||||||
|
}
|
||||||
|
|
||||||
|
.root :global(.account-btn),
|
||||||
|
.root :global(.info-btn) {
|
||||||
|
min-height: 34px;
|
||||||
|
padding: 6px 9px;
|
||||||
|
font-size: 11px;
|
||||||
|
}
|
||||||
|
|
||||||
|
.root :global(.account-btn span),
|
||||||
|
.root :global(.info-btn span) {
|
||||||
|
max-width: 88px;
|
||||||
|
overflow: hidden;
|
||||||
|
text-overflow: ellipsis;
|
||||||
|
white-space: nowrap;
|
||||||
|
}
|
||||||
|
|
||||||
|
.root :global(.live-badge) {
|
||||||
|
padding: 4px 8px;
|
||||||
|
font-size: 10px;
|
||||||
|
letter-spacing: 0.6px;
|
||||||
|
}
|
||||||
|
|
||||||
|
.root :global(.refresh-btn) {
|
||||||
|
width: 34px;
|
||||||
|
height: 34px;
|
||||||
|
font-size: 16px;
|
||||||
|
}
|
||||||
|
|
||||||
.root :global(.hero-value) {
|
.root :global(.hero-value) {
|
||||||
font-size: 42px;
|
font-size: 42px;
|
||||||
}
|
}
|
||||||
@@ -1401,6 +1552,47 @@
|
|||||||
.root :global(.hero-item .value) {
|
.root :global(.hero-item .value) {
|
||||||
font-size: 14px;
|
font-size: 14px;
|
||||||
}
|
}
|
||||||
|
|
||||||
|
.root :global(.city-list) {
|
||||||
|
left: 6px;
|
||||||
|
right: 6px;
|
||||||
|
bottom: 6px;
|
||||||
|
max-height: min(40vh, 300px);
|
||||||
|
}
|
||||||
|
|
||||||
|
.root :global(.city-list-header) {
|
||||||
|
padding: 10px 12px;
|
||||||
|
}
|
||||||
|
|
||||||
|
.root :global(.city-group-title) {
|
||||||
|
font-size: 11px;
|
||||||
|
}
|
||||||
|
|
||||||
|
.root :global(.city-item-main) {
|
||||||
|
gap: 6px;
|
||||||
|
}
|
||||||
|
|
||||||
|
.root :global(.city-item-info) {
|
||||||
|
font-size: 9px;
|
||||||
|
}
|
||||||
|
|
||||||
|
.root :global(.panel-header) {
|
||||||
|
padding: 14px 14px 12px;
|
||||||
|
}
|
||||||
|
|
||||||
|
.root :global(.city-marker:hover) {
|
||||||
|
transform: none;
|
||||||
|
}
|
||||||
|
|
||||||
|
.root :global(.marker-bubble) {
|
||||||
|
min-width: 48px;
|
||||||
|
min-height: 32px;
|
||||||
|
padding: 6px 10px;
|
||||||
|
}
|
||||||
|
|
||||||
|
.root :global(.marker-name) {
|
||||||
|
font-size: 11px;
|
||||||
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
/* ── History Modal ── */
|
/* ── History Modal ── */
|
||||||
@@ -1431,8 +1623,8 @@
|
|||||||
left: 0;
|
left: 0;
|
||||||
right: 0;
|
right: 0;
|
||||||
bottom: 0;
|
bottom: 0;
|
||||||
background: rgba(0, 0, 0, 0.6);
|
background: rgba(2, 6, 23, 0.75);
|
||||||
backdrop-filter: blur(4px);
|
backdrop-filter: blur(12px);
|
||||||
z-index: 10000;
|
z-index: 10000;
|
||||||
display: flex;
|
display: flex;
|
||||||
align-items: center;
|
align-items: center;
|
||||||
@@ -1471,6 +1663,7 @@
|
|||||||
font-weight: 600;
|
font-weight: 600;
|
||||||
color: var(--text-primary);
|
color: var(--text-primary);
|
||||||
margin: 0;
|
margin: 0;
|
||||||
|
min-width: 0;
|
||||||
}
|
}
|
||||||
.root :global(.future-modal-title-with-actions) {
|
.root :global(.future-modal-title-with-actions) {
|
||||||
display: flex;
|
display: flex;
|
||||||
@@ -1524,6 +1717,17 @@
|
|||||||
overflow-y: auto;
|
overflow-y: auto;
|
||||||
}
|
}
|
||||||
|
|
||||||
|
/* Keep scroll behavior but hide visual scrollbar in today's/future analysis modal */
|
||||||
|
.root :global(.modal-content.large.future-modal .modal-body) {
|
||||||
|
-ms-overflow-style: none;
|
||||||
|
scrollbar-width: none;
|
||||||
|
}
|
||||||
|
|
||||||
|
.root :global(.modal-content.large.future-modal .modal-body::-webkit-scrollbar) {
|
||||||
|
width: 0;
|
||||||
|
height: 0;
|
||||||
|
}
|
||||||
|
|
||||||
.root :global(.history-modal .modal-body) {
|
.root :global(.history-modal .modal-body) {
|
||||||
padding: 24px 28px 28px;
|
padding: 24px 28px 28px;
|
||||||
}
|
}
|
||||||
@@ -1628,6 +1832,32 @@
|
|||||||
}
|
}
|
||||||
|
|
||||||
@media (max-width: 640px) {
|
@media (max-width: 640px) {
|
||||||
|
.root :global(.modal-content) {
|
||||||
|
border-radius: 14px;
|
||||||
|
max-height: calc(100vh - 16px);
|
||||||
|
}
|
||||||
|
|
||||||
|
.root :global(.modal-content.history-modal),
|
||||||
|
.root :global(.modal-content.large.future-modal) {
|
||||||
|
width: min(100vw - 12px, 100%);
|
||||||
|
max-width: none;
|
||||||
|
}
|
||||||
|
|
||||||
|
.root :global(.modal-header) {
|
||||||
|
padding: 14px 14px 12px;
|
||||||
|
align-items: flex-start;
|
||||||
|
gap: 12px;
|
||||||
|
}
|
||||||
|
|
||||||
|
.root :global(.modal-header h2) {
|
||||||
|
font-size: 15px;
|
||||||
|
line-height: 1.35;
|
||||||
|
}
|
||||||
|
|
||||||
|
.root :global(.modal-body) {
|
||||||
|
padding: 14px;
|
||||||
|
}
|
||||||
|
|
||||||
.root :global(.history-modal .history-stats) {
|
.root :global(.history-modal .history-stats) {
|
||||||
grid-template-columns: 1fr;
|
grid-template-columns: 1fr;
|
||||||
}
|
}
|
||||||
@@ -1643,6 +1873,29 @@
|
|||||||
}
|
}
|
||||||
|
|
||||||
/* ── Info Button ── */
|
/* ── Info Button ── */
|
||||||
|
.root :global(.account-btn) {
|
||||||
|
display: inline-flex;
|
||||||
|
align-items: center;
|
||||||
|
justify-content: center;
|
||||||
|
gap: 6px;
|
||||||
|
padding: 6px 12px;
|
||||||
|
border-radius: 8px;
|
||||||
|
border: 1px solid rgba(34, 211, 238, 0.34);
|
||||||
|
background: rgba(34, 211, 238, 0.08);
|
||||||
|
color: var(--accent-cyan);
|
||||||
|
font-size: 12px;
|
||||||
|
font-weight: 700;
|
||||||
|
letter-spacing: 0.02em;
|
||||||
|
text-decoration: none;
|
||||||
|
transition: var(--transition);
|
||||||
|
}
|
||||||
|
.root :global(.account-btn:hover) {
|
||||||
|
background: rgba(34, 211, 238, 0.16);
|
||||||
|
border-color: rgba(34, 211, 238, 0.62);
|
||||||
|
color: #f8fbff;
|
||||||
|
transform: translateY(-1px);
|
||||||
|
}
|
||||||
|
|
||||||
.root :global(.info-btn) {
|
.root :global(.info-btn) {
|
||||||
background: rgba(99, 102, 241, 0.1);
|
background: rgba(99, 102, 241, 0.1);
|
||||||
border: 1px solid rgba(99, 102, 241, 0.3);
|
border: 1px solid rgba(99, 102, 241, 0.3);
|
||||||
@@ -2142,6 +2395,93 @@
|
|||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
|
@media (max-width: 640px) {
|
||||||
|
.root :global(.future-modal-body) {
|
||||||
|
gap: 12px;
|
||||||
|
padding-right: 0;
|
||||||
|
}
|
||||||
|
|
||||||
|
.root :global(.future-v2-card),
|
||||||
|
.root :global(.future-modal-section) {
|
||||||
|
border-radius: 12px;
|
||||||
|
padding: 12px;
|
||||||
|
}
|
||||||
|
|
||||||
|
.root :global(.future-v2-hero-main) {
|
||||||
|
align-items: flex-start;
|
||||||
|
gap: 12px;
|
||||||
|
}
|
||||||
|
|
||||||
|
.root :global(.future-v2-hero-temp) {
|
||||||
|
font-size: 44px;
|
||||||
|
}
|
||||||
|
|
||||||
|
.root :global(.future-v2-hero-divider) {
|
||||||
|
height: 44px;
|
||||||
|
}
|
||||||
|
|
||||||
|
.root :global(.future-v2-hero-obs) {
|
||||||
|
font-size: 18px;
|
||||||
|
}
|
||||||
|
|
||||||
|
.root :global(.future-v2-mini-grid) {
|
||||||
|
grid-template-columns: 1fr;
|
||||||
|
}
|
||||||
|
|
||||||
|
.root :global(.future-v2-mini-item strong) {
|
||||||
|
font-size: 20px;
|
||||||
|
}
|
||||||
|
|
||||||
|
.root :global(.future-v2-main-chart) {
|
||||||
|
min-height: 280px;
|
||||||
|
}
|
||||||
|
|
||||||
|
.root :global(.future-chart-wrapper) {
|
||||||
|
height: 190px;
|
||||||
|
}
|
||||||
|
|
||||||
|
.root :global(.future-trend-card) {
|
||||||
|
padding: 10px;
|
||||||
|
}
|
||||||
|
|
||||||
|
.root :global(.future-trend-value) {
|
||||||
|
font-size: 16px;
|
||||||
|
}
|
||||||
|
|
||||||
|
.root :global(.future-trend-note),
|
||||||
|
.root :global(.future-text-block) {
|
||||||
|
font-size: 12px;
|
||||||
|
line-height: 1.6;
|
||||||
|
}
|
||||||
|
|
||||||
|
.root :global(.future-front-meta) {
|
||||||
|
gap: 8px;
|
||||||
|
}
|
||||||
|
|
||||||
|
.root :global(.future-front-pill) {
|
||||||
|
width: 100%;
|
||||||
|
justify-content: center;
|
||||||
|
}
|
||||||
|
|
||||||
|
.root :global(.detail-grid) {
|
||||||
|
grid-template-columns: 1fr;
|
||||||
|
}
|
||||||
|
|
||||||
|
.root :global(.detail-mini-chart) {
|
||||||
|
height: 170px;
|
||||||
|
}
|
||||||
|
|
||||||
|
.root :global(.detail-source-link) {
|
||||||
|
padding: 10px 12px;
|
||||||
|
align-items: flex-start;
|
||||||
|
flex-direction: column;
|
||||||
|
}
|
||||||
|
|
||||||
|
.root :global(.detail-source-label) {
|
||||||
|
text-align: left;
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
@media (max-width: 1200px) {
|
@media (max-width: 1200px) {
|
||||||
.root :global(.future-trend-grid) {
|
.root :global(.future-trend-grid) {
|
||||||
grid-template-columns: repeat(2, minmax(0, 1fr));
|
grid-template-columns: repeat(2, minmax(0, 1fr));
|
||||||
@@ -2207,6 +2547,58 @@
|
|||||||
padding: 12px;
|
padding: 12px;
|
||||||
}
|
}
|
||||||
|
|
||||||
|
.root :global(.detail-source-list) {
|
||||||
|
display: grid;
|
||||||
|
grid-template-columns: 1fr;
|
||||||
|
gap: 10px;
|
||||||
|
}
|
||||||
|
|
||||||
|
.root :global(.detail-source-note) {
|
||||||
|
margin: 8px 0 12px;
|
||||||
|
color: var(--text-muted);
|
||||||
|
font-size: 12px;
|
||||||
|
line-height: 1.6;
|
||||||
|
}
|
||||||
|
|
||||||
|
.root :global(.detail-source-link) {
|
||||||
|
display: flex;
|
||||||
|
align-items: center;
|
||||||
|
justify-content: space-between;
|
||||||
|
gap: 12px;
|
||||||
|
padding: 12px 14px;
|
||||||
|
border-radius: 12px;
|
||||||
|
border: 1px solid var(--border-subtle);
|
||||||
|
background: rgba(255, 255, 255, 0.03);
|
||||||
|
color: var(--text-main);
|
||||||
|
text-decoration: none;
|
||||||
|
transition:
|
||||||
|
background 0.18s ease,
|
||||||
|
border-color 0.18s ease,
|
||||||
|
transform 0.18s ease;
|
||||||
|
}
|
||||||
|
|
||||||
|
.root :global(.detail-source-link:hover) {
|
||||||
|
background: rgba(34, 211, 238, 0.08);
|
||||||
|
border-color: rgba(34, 211, 238, 0.28);
|
||||||
|
transform: translateY(-1px);
|
||||||
|
}
|
||||||
|
|
||||||
|
.root :global(.detail-source-kind) {
|
||||||
|
font-size: 10px;
|
||||||
|
font-weight: 700;
|
||||||
|
letter-spacing: 0.12em;
|
||||||
|
color: var(--accent-cyan);
|
||||||
|
text-transform: uppercase;
|
||||||
|
flex-shrink: 0;
|
||||||
|
}
|
||||||
|
|
||||||
|
.root :global(.detail-source-label) {
|
||||||
|
font-size: 13px;
|
||||||
|
font-weight: 600;
|
||||||
|
color: var(--text-main);
|
||||||
|
text-align: right;
|
||||||
|
}
|
||||||
|
|
||||||
.root :global(.detail-label) {
|
.root :global(.detail-label) {
|
||||||
display: block;
|
display: block;
|
||||||
color: var(--text-muted);
|
color: var(--text-muted);
|
||||||
|
|||||||
@@ -1,12 +1,13 @@
|
|||||||
"use client";
|
"use client";
|
||||||
|
|
||||||
import { ChartConfiguration } from "chart.js/auto";
|
import type { ChartConfiguration } from "chart.js";
|
||||||
import clsx from "clsx";
|
import clsx from "clsx";
|
||||||
import { useEffect, useRef } from "react";
|
import { useEffect, useMemo, useRef, useState } from "react";
|
||||||
import { ForecastTable } from "@/components/dashboard/PanelSections";
|
import { ForecastTable } from "@/components/dashboard/PanelSections";
|
||||||
import { useChart } from "@/hooks/useChart";
|
import { useChart } from "@/hooks/useChart";
|
||||||
import { useDashboardStore } from "@/hooks/useDashboardStore";
|
import { useDashboardStore } from "@/hooks/useDashboardStore";
|
||||||
import { useI18n } from "@/hooks/useI18n";
|
import { useI18n } from "@/hooks/useI18n";
|
||||||
|
import { getOfficialSourceLinks } from "@/lib/dashboard-official-sources";
|
||||||
import { getCityScenery } from "@/lib/dashboard-scenery";
|
import { getCityScenery } from "@/lib/dashboard-scenery";
|
||||||
import { CityDetail } from "@/lib/dashboard-types";
|
import { CityDetail } from "@/lib/dashboard-types";
|
||||||
import {
|
import {
|
||||||
@@ -17,100 +18,102 @@ import {
|
|||||||
|
|
||||||
function DetailMiniTemperatureChart({ detail }: { detail: CityDetail }) {
|
function DetailMiniTemperatureChart({ detail }: { detail: CityDetail }) {
|
||||||
const { locale, t } = useI18n();
|
const { locale, t } = useI18n();
|
||||||
const chartData = getTemperatureChartData(detail, locale);
|
const chartData = useMemo(
|
||||||
|
() => getTemperatureChartData(detail, locale),
|
||||||
const canvasRef = useChart(
|
[detail, locale],
|
||||||
() => {
|
);
|
||||||
if (!chartData) {
|
|
||||||
return {
|
|
||||||
data: { datasets: [], labels: [] },
|
|
||||||
type: "line",
|
|
||||||
} satisfies ChartConfiguration<"line">;
|
|
||||||
}
|
|
||||||
|
|
||||||
const forecastPoints = chartData.datasets.hasMgmHourly
|
|
||||||
? chartData.datasets.mgmHourlyPoints
|
|
||||||
: chartData.datasets.debPast.map(
|
|
||||||
(value, index) => value ?? chartData.datasets.debFuture[index],
|
|
||||||
);
|
|
||||||
|
|
||||||
|
const canvasRef = useChart(() => {
|
||||||
|
if (!chartData) {
|
||||||
return {
|
return {
|
||||||
data: {
|
data: { datasets: [], labels: [] },
|
||||||
datasets: [
|
|
||||||
{
|
|
||||||
borderColor: chartData.datasets.hasMgmHourly
|
|
||||||
? "rgba(250, 204, 21, 0.92)"
|
|
||||||
: "rgba(52, 211, 153, 0.86)",
|
|
||||||
borderWidth: 1.8,
|
|
||||||
data: forecastPoints,
|
|
||||||
fill: false,
|
|
||||||
label: chartData.datasets.hasMgmHourly
|
|
||||||
? locale === "en-US"
|
|
||||||
? "MGM Forecast"
|
|
||||||
: "MGM 预测"
|
|
||||||
: locale === "en-US"
|
|
||||||
? "DEB Forecast"
|
|
||||||
: "DEB 预测",
|
|
||||||
pointRadius: 0,
|
|
||||||
spanGaps: true,
|
|
||||||
tension: 0.28,
|
|
||||||
},
|
|
||||||
{
|
|
||||||
backgroundColor: "#22d3ee",
|
|
||||||
borderColor: "#22d3ee",
|
|
||||||
borderWidth: 0,
|
|
||||||
data: chartData.datasets.metarPoints,
|
|
||||||
fill: false,
|
|
||||||
label: locale === "en-US" ? "METAR Observation" : "METAR 实测",
|
|
||||||
pointHoverRadius: 6,
|
|
||||||
pointRadius: 3.8,
|
|
||||||
showLine: false,
|
|
||||||
},
|
|
||||||
],
|
|
||||||
labels: chartData.times,
|
|
||||||
},
|
|
||||||
options: {
|
|
||||||
interaction: { intersect: false, mode: "index" },
|
|
||||||
maintainAspectRatio: false,
|
|
||||||
plugins: {
|
|
||||||
legend: { display: false },
|
|
||||||
tooltip: {
|
|
||||||
backgroundColor: "rgba(15, 23, 42, 0.95)",
|
|
||||||
borderColor: "rgba(34, 211, 238, 0.25)",
|
|
||||||
borderWidth: 1,
|
|
||||||
},
|
|
||||||
},
|
|
||||||
responsive: true,
|
|
||||||
scales: {
|
|
||||||
x: {
|
|
||||||
grid: { color: "rgba(255,255,255,0.03)" },
|
|
||||||
ticks: {
|
|
||||||
callback: (_value, index) =>
|
|
||||||
typeof index === "number" && index % 4 === 0
|
|
||||||
? chartData.times[index]
|
|
||||||
: "",
|
|
||||||
color: "#64748b",
|
|
||||||
font: { size: 10 },
|
|
||||||
maxRotation: 0,
|
|
||||||
},
|
|
||||||
},
|
|
||||||
y: {
|
|
||||||
grid: { color: "rgba(255,255,255,0.03)" },
|
|
||||||
max: chartData.max,
|
|
||||||
min: chartData.min,
|
|
||||||
ticks: {
|
|
||||||
callback: (value) => `${value}${detail.temp_symbol || "°C"}`,
|
|
||||||
color: "#64748b",
|
|
||||||
font: { size: 10 },
|
|
||||||
},
|
|
||||||
},
|
|
||||||
},
|
|
||||||
},
|
|
||||||
type: "line",
|
type: "line",
|
||||||
} satisfies ChartConfiguration<"line">;
|
} satisfies ChartConfiguration<"line">;
|
||||||
},
|
}
|
||||||
[chartData, detail.temp_symbol, locale],
|
|
||||||
);
|
const forecastPoints = chartData.datasets.hasMgmHourly
|
||||||
|
? chartData.datasets.mgmHourlyPoints
|
||||||
|
: chartData.datasets.debPast.map(
|
||||||
|
(value, index) => value ?? chartData.datasets.debFuture[index],
|
||||||
|
);
|
||||||
|
|
||||||
|
return {
|
||||||
|
data: {
|
||||||
|
datasets: [
|
||||||
|
{
|
||||||
|
borderColor: chartData.datasets.hasMgmHourly
|
||||||
|
? "rgba(250, 204, 21, 0.92)"
|
||||||
|
: "rgba(52, 211, 153, 0.86)",
|
||||||
|
borderWidth: 1.8,
|
||||||
|
data: forecastPoints,
|
||||||
|
fill: false,
|
||||||
|
label: chartData.datasets.hasMgmHourly
|
||||||
|
? locale === "en-US"
|
||||||
|
? "MGM Forecast"
|
||||||
|
: "MGM 预测"
|
||||||
|
: locale === "en-US"
|
||||||
|
? "DEB Forecast"
|
||||||
|
: "DEB 预测",
|
||||||
|
pointRadius: 0,
|
||||||
|
spanGaps: true,
|
||||||
|
tension: 0.28,
|
||||||
|
},
|
||||||
|
{
|
||||||
|
backgroundColor: "#22d3ee",
|
||||||
|
borderColor: "#22d3ee",
|
||||||
|
borderWidth: 0,
|
||||||
|
data: chartData.datasets.metarPoints,
|
||||||
|
fill: false,
|
||||||
|
label:
|
||||||
|
chartData.observationLabel ||
|
||||||
|
(locale === "en-US" ? "METAR Observation" : "METAR 实况"),
|
||||||
|
pointHoverRadius: 6,
|
||||||
|
pointRadius: 3.8,
|
||||||
|
showLine: false,
|
||||||
|
},
|
||||||
|
],
|
||||||
|
labels: chartData.times,
|
||||||
|
},
|
||||||
|
options: {
|
||||||
|
interaction: { intersect: false, mode: "index" },
|
||||||
|
maintainAspectRatio: false,
|
||||||
|
plugins: {
|
||||||
|
legend: { display: false },
|
||||||
|
tooltip: {
|
||||||
|
backgroundColor: "rgba(15, 23, 42, 0.95)",
|
||||||
|
borderColor: "rgba(34, 211, 238, 0.25)",
|
||||||
|
borderWidth: 1,
|
||||||
|
},
|
||||||
|
},
|
||||||
|
responsive: true,
|
||||||
|
scales: {
|
||||||
|
x: {
|
||||||
|
grid: { color: "rgba(255,255,255,0.03)" },
|
||||||
|
ticks: {
|
||||||
|
callback: (_value, index) =>
|
||||||
|
typeof index === "number" && index % 4 === 0
|
||||||
|
? chartData.times[index]
|
||||||
|
: "",
|
||||||
|
color: "#64748b",
|
||||||
|
font: { size: 10 },
|
||||||
|
maxRotation: 0,
|
||||||
|
},
|
||||||
|
},
|
||||||
|
y: {
|
||||||
|
grid: { color: "rgba(255,255,255,0.03)" },
|
||||||
|
max: chartData.max,
|
||||||
|
min: chartData.min,
|
||||||
|
ticks: {
|
||||||
|
callback: (value) => `${value}${detail.temp_symbol || "°C"}`,
|
||||||
|
color: "#64748b",
|
||||||
|
font: { size: 10 },
|
||||||
|
},
|
||||||
|
},
|
||||||
|
},
|
||||||
|
},
|
||||||
|
type: "line",
|
||||||
|
} satisfies ChartConfiguration<"line">;
|
||||||
|
}, [chartData, detail.temp_symbol, locale]);
|
||||||
|
|
||||||
return (
|
return (
|
||||||
<div className="detail-mini-chart-wrap">
|
<div className="detail-mini-chart-wrap">
|
||||||
@@ -128,7 +131,9 @@ export function DetailPanel() {
|
|||||||
const store = useDashboardStore();
|
const store = useDashboardStore();
|
||||||
const { locale, t } = useI18n();
|
const { locale, t } = useI18n();
|
||||||
const detail = store.selectedDetail;
|
const detail = store.selectedDetail;
|
||||||
|
const isPro = store.proAccess.subscriptionActive;
|
||||||
const panelRef = useRef<HTMLElement | null>(null);
|
const panelRef = useRef<HTMLElement | null>(null);
|
||||||
|
const [heavyContentReady, setHeavyContentReady] = useState(false);
|
||||||
const isOverlayOpen =
|
const isOverlayOpen =
|
||||||
Boolean(store.futureModalDate) ||
|
Boolean(store.futureModalDate) ||
|
||||||
store.historyState.isOpen ||
|
store.historyState.isOpen ||
|
||||||
@@ -139,7 +144,14 @@ export function DetailPanel() {
|
|||||||
Boolean(detail) &&
|
Boolean(detail) &&
|
||||||
!store.loadingState.cityDetail &&
|
!store.loadingState.cityDetail &&
|
||||||
!isOverlayOpen;
|
!isOverlayOpen;
|
||||||
const profileStats = detail ? getCityProfileStats(detail, locale) : [];
|
const profileStats = useMemo(
|
||||||
|
() => (detail ? getCityProfileStats(detail, locale) : []),
|
||||||
|
[detail, locale],
|
||||||
|
);
|
||||||
|
const officialLinks = useMemo(
|
||||||
|
() => (detail ? getOfficialSourceLinks(detail) : []),
|
||||||
|
[detail],
|
||||||
|
);
|
||||||
const scenery = getCityScenery(detail?.name);
|
const scenery = getCityScenery(detail?.name);
|
||||||
const blurActiveElement = () => {
|
const blurActiveElement = () => {
|
||||||
if (typeof document === "undefined") return;
|
if (typeof document === "undefined") return;
|
||||||
@@ -170,6 +182,42 @@ export function DetailPanel() {
|
|||||||
panel.removeAttribute("inert");
|
panel.removeAttribute("inert");
|
||||||
}, [isVisible]);
|
}, [isVisible]);
|
||||||
|
|
||||||
|
useEffect(() => {
|
||||||
|
if (!isVisible || !detail) {
|
||||||
|
setHeavyContentReady(false);
|
||||||
|
return;
|
||||||
|
}
|
||||||
|
|
||||||
|
let canceled = false;
|
||||||
|
let timeoutId: number | null = null;
|
||||||
|
let idleId: number | null = null;
|
||||||
|
const win = typeof window !== "undefined" ? (window as any) : null;
|
||||||
|
|
||||||
|
const markReady = () => {
|
||||||
|
if (!canceled) {
|
||||||
|
setHeavyContentReady(true);
|
||||||
|
}
|
||||||
|
};
|
||||||
|
|
||||||
|
if (win && typeof win.requestIdleCallback === "function") {
|
||||||
|
idleId = win.requestIdleCallback(markReady, { timeout: 180 });
|
||||||
|
} else if (typeof window !== "undefined") {
|
||||||
|
timeoutId = window.setTimeout(markReady, 80);
|
||||||
|
} else {
|
||||||
|
setHeavyContentReady(true);
|
||||||
|
}
|
||||||
|
|
||||||
|
return () => {
|
||||||
|
canceled = true;
|
||||||
|
if (win && idleId != null && typeof win.cancelIdleCallback === "function") {
|
||||||
|
win.cancelIdleCallback(idleId);
|
||||||
|
}
|
||||||
|
if (timeoutId != null && typeof window !== "undefined") {
|
||||||
|
window.clearTimeout(timeoutId);
|
||||||
|
}
|
||||||
|
};
|
||||||
|
}, [detail, isVisible]);
|
||||||
|
|
||||||
return (
|
return (
|
||||||
<aside
|
<aside
|
||||||
ref={panelRef}
|
ref={panelRef}
|
||||||
@@ -193,35 +241,40 @@ export function DetailPanel() {
|
|||||||
<span className={clsx("risk-badge", detail?.risk?.level || "low")}>
|
<span className={clsx("risk-badge", detail?.risk?.level || "low")}>
|
||||||
{getRiskBadgeLabel(detail?.risk?.level, locale)}
|
{getRiskBadgeLabel(detail?.risk?.level, locale)}
|
||||||
</span>
|
</span>
|
||||||
<span className="local-time">
|
<div className="relative group">
|
||||||
{detail
|
<button
|
||||||
? `${detail.local_date} ${detail.local_time}`
|
type="button"
|
||||||
: t("detail.waitSelect")}
|
className={clsx("history-btn", !isPro && "pro-locked")}
|
||||||
</span>
|
title={
|
||||||
<button
|
isPro
|
||||||
type="button"
|
? t("detail.todayAnalysis")
|
||||||
className="history-btn"
|
: `${t("detail.todayAnalysis")} (Pro)`
|
||||||
title={t("detail.todayAnalysis")}
|
}
|
||||||
onClick={() => {
|
onClick={() => {
|
||||||
blurActiveElement();
|
blurActiveElement();
|
||||||
void store.openTodayModal();
|
void store.openTodayModal();
|
||||||
}}
|
}}
|
||||||
disabled={!detail}
|
disabled={!detail}
|
||||||
>
|
>
|
||||||
{t("detail.todayAnalysis")}
|
{isPro
|
||||||
</button>
|
? t("detail.todayAnalysis")
|
||||||
<button
|
: `${t("detail.todayAnalysis")} · Pro`}
|
||||||
type="button"
|
</button>
|
||||||
className="history-btn"
|
<button
|
||||||
title={t("detail.history")}
|
type="button"
|
||||||
onClick={() => {
|
className={clsx("history-btn", !isPro && "pro-locked")}
|
||||||
blurActiveElement();
|
title={
|
||||||
void store.openHistory();
|
isPro ? t("detail.history") : `${t("detail.history")} (Pro)`
|
||||||
}}
|
}
|
||||||
disabled={!detail}
|
onClick={() => {
|
||||||
>
|
blurActiveElement();
|
||||||
{t("detail.history")}
|
void store.openHistory();
|
||||||
</button>
|
}}
|
||||||
|
disabled={!detail}
|
||||||
|
>
|
||||||
|
{isPro ? t("detail.history") : `${t("detail.history")} · Pro`}
|
||||||
|
</button>
|
||||||
|
</div>
|
||||||
</div>
|
</div>
|
||||||
</div>
|
</div>
|
||||||
</div>
|
</div>
|
||||||
@@ -263,7 +316,9 @@ export function DetailPanel() {
|
|||||||
</>
|
</>
|
||||||
) : (
|
) : (
|
||||||
<div className="detail-scenery-fallback">
|
<div className="detail-scenery-fallback">
|
||||||
<span className="detail-scenery-kicker">{detail.display_name}</span>
|
<span className="detail-scenery-kicker">
|
||||||
|
{detail.display_name}
|
||||||
|
</span>
|
||||||
<strong className="detail-scenery-title">
|
<strong className="detail-scenery-title">
|
||||||
{t("detail.sceneryTitle")}
|
{t("detail.sceneryTitle")}
|
||||||
</strong>
|
</strong>
|
||||||
@@ -286,12 +341,43 @@ export function DetailPanel() {
|
|||||||
</div>
|
</div>
|
||||||
</section>
|
</section>
|
||||||
|
|
||||||
<section className="detail-section">
|
{officialLinks.length > 0 ? (
|
||||||
|
<section className="detail-section">
|
||||||
|
<h3>{locale === "en-US" ? "Official Sources" : "官方参考"}</h3>
|
||||||
|
<p className="detail-source-note">
|
||||||
|
{locale === "en-US"
|
||||||
|
? "AGENCY = national meteorological service, METAR = airport observation, AIRPORT = airport official page."
|
||||||
|
: "AGENCY = 国家气象机构,METAR = 机场实测报文,AIRPORT = 机场官网页面。"}
|
||||||
|
</p>
|
||||||
|
<div className="detail-source-list">
|
||||||
|
{officialLinks.map((link) => (
|
||||||
|
<a
|
||||||
|
key={`${link.label}-${link.href}`}
|
||||||
|
className="detail-source-link"
|
||||||
|
href={link.href}
|
||||||
|
target="_blank"
|
||||||
|
rel="noreferrer"
|
||||||
|
>
|
||||||
|
<span className="detail-source-kind">
|
||||||
|
{link.kind.toUpperCase()}
|
||||||
|
</span>
|
||||||
|
<span className="detail-source-label">{link.label}</span>
|
||||||
|
</a>
|
||||||
|
))}
|
||||||
|
</div>
|
||||||
|
</section>
|
||||||
|
) : null}
|
||||||
|
|
||||||
|
<section className="detail-section rounded-2xl">
|
||||||
<h3>{t("detail.todayMiniTrend")}</h3>
|
<h3>{t("detail.todayMiniTrend")}</h3>
|
||||||
<DetailMiniTemperatureChart detail={detail} />
|
{heavyContentReady ? (
|
||||||
|
<DetailMiniTemperatureChart detail={detail} />
|
||||||
|
) : (
|
||||||
|
<div className="detail-mini-meta">{t("detail.loading")}</div>
|
||||||
|
)}
|
||||||
</section>
|
</section>
|
||||||
|
|
||||||
<ForecastTable />
|
{heavyContentReady ? <ForecastTable /> : null}
|
||||||
</>
|
</>
|
||||||
)}
|
)}
|
||||||
</div>
|
</div>
|
||||||
|
|||||||
@@ -12,24 +12,22 @@ import {
|
|||||||
Wind,
|
Wind,
|
||||||
} from "lucide-react";
|
} from "lucide-react";
|
||||||
|
|
||||||
import { ChartConfiguration } from "chart.js/auto";
|
import type { ChartConfiguration } from "chart.js";
|
||||||
import clsx from "clsx";
|
import clsx from "clsx";
|
||||||
import { CSSProperties } from "react";
|
import { CSSProperties, useMemo } from "react";
|
||||||
import { useChart } from "@/hooks/useChart";
|
import { useChart } from "@/hooks/useChart";
|
||||||
import { useDashboardStore } from "@/hooks/useDashboardStore";
|
import { useDashboardStore } from "@/hooks/useDashboardStore";
|
||||||
import { useI18n } from "@/hooks/useI18n";
|
import { useI18n } from "@/hooks/useI18n";
|
||||||
|
import { ProFeaturePaywall } from "@/components/dashboard/ProFeaturePaywall";
|
||||||
import {
|
import {
|
||||||
ModelForecast,
|
ModelForecast,
|
||||||
ProbabilityDistribution,
|
ProbabilityDistribution,
|
||||||
} from "@/components/dashboard/PanelSections";
|
} from "@/components/dashboard/PanelSections";
|
||||||
import {
|
import {
|
||||||
getClimateDrivers,
|
|
||||||
getFutureModalView,
|
getFutureModalView,
|
||||||
getSettlementRiskNarrative,
|
parseAiAnalysis,
|
||||||
getShortTermNowcastLines,
|
|
||||||
getTemperatureChartData,
|
getTemperatureChartData,
|
||||||
getWeatherSummary,
|
getWeatherSummary,
|
||||||
parseAiAnalysis,
|
|
||||||
} from "@/lib/dashboard-utils";
|
} from "@/lib/dashboard-utils";
|
||||||
|
|
||||||
function normalizeMarketValue(value?: number | null) {
|
function normalizeMarketValue(value?: number | null) {
|
||||||
@@ -188,8 +186,10 @@ function DailyTemperatureChart({ dateStr }: { dateStr: string }) {
|
|||||||
const detail = store.selectedDetail;
|
const detail = store.selectedDetail;
|
||||||
const view = detail ? getFutureModalView(detail, dateStr, locale) : null;
|
const view = detail ? getFutureModalView(detail, dateStr, locale) : null;
|
||||||
const isToday = detail ? dateStr === detail.local_date : false;
|
const isToday = detail ? dateStr === detail.local_date : false;
|
||||||
const todayChartData =
|
const todayChartData = useMemo(
|
||||||
detail && isToday ? getTemperatureChartData(detail, locale) : null;
|
() => (detail && isToday ? getTemperatureChartData(detail, locale) : null),
|
||||||
|
[detail, isToday, locale],
|
||||||
|
);
|
||||||
|
|
||||||
const canvasRef = useChart(() => {
|
const canvasRef = useChart(() => {
|
||||||
if (!detail || !view) {
|
if (!detail || !view) {
|
||||||
@@ -247,7 +247,9 @@ function DailyTemperatureChart({ dateStr }: { dateStr: string }) {
|
|||||||
borderWidth: 0,
|
borderWidth: 0,
|
||||||
data: todayChartData.datasets.metarPoints,
|
data: todayChartData.datasets.metarPoints,
|
||||||
fill: false,
|
fill: false,
|
||||||
label: locale === "en-US" ? "METAR Observation" : "METAR 实测",
|
label:
|
||||||
|
todayChartData.observationLabel ||
|
||||||
|
(locale === "en-US" ? "Observation" : "观测实况"),
|
||||||
order: 0,
|
order: 0,
|
||||||
pointHoverRadius: 7,
|
pointHoverRadius: 7,
|
||||||
pointRadius: 5,
|
pointRadius: 5,
|
||||||
@@ -438,20 +440,22 @@ export function FutureForecastModal() {
|
|||||||
const detail = store.selectedDetail;
|
const detail = store.selectedDetail;
|
||||||
const marketScan = store.selectedMarketScan;
|
const marketScan = store.selectedMarketScan;
|
||||||
const dateStr = store.futureModalDate;
|
const dateStr = store.futureModalDate;
|
||||||
|
const isPro = store.proAccess.subscriptionActive;
|
||||||
|
const isProLoading = store.proAccess.loading;
|
||||||
|
|
||||||
if (!detail || !dateStr) return null;
|
if (!detail || !dateStr) return null;
|
||||||
|
|
||||||
const isToday = dateStr === detail.local_date;
|
const isToday = dateStr === detail.local_date;
|
||||||
const view = getFutureModalView(detail, dateStr, locale);
|
const view = getFutureModalView(detail, dateStr, locale);
|
||||||
const nowcastRows = getShortTermNowcastLines(detail, dateStr, locale);
|
|
||||||
const riskLines = getSettlementRiskNarrative(detail, locale);
|
|
||||||
const climateDrivers = getClimateDrivers(detail, locale);
|
|
||||||
const ai = parseAiAnalysis(detail.ai_analysis);
|
|
||||||
const scorePosition = `${50 + view.front.score / 2}%`;
|
const scorePosition = `${50 + view.front.score / 2}%`;
|
||||||
const barStyle = {
|
const barStyle = {
|
||||||
"--score-position": scorePosition,
|
"--score-position": scorePosition,
|
||||||
} as CSSProperties & { "--score-position": string };
|
} as CSSProperties & { "--score-position": string };
|
||||||
const weatherSummary = getWeatherSummary(detail, locale);
|
const weatherSummary = getWeatherSummary(detail, locale);
|
||||||
|
const isTaipeiNoaa =
|
||||||
|
store.selectedCity === "taipei" &&
|
||||||
|
(detail.current?.settlement_source === "noaa" ||
|
||||||
|
detail.current?.settlement_source_label === "NOAA");
|
||||||
const marketMidpoint = formatMarketPercent(
|
const marketMidpoint = formatMarketPercent(
|
||||||
marketScan?.market_price ?? marketScan?.yes_token?.implied_probability,
|
marketScan?.market_price ?? marketScan?.yes_token?.implied_probability,
|
||||||
);
|
);
|
||||||
@@ -534,6 +538,34 @@ export function FutureForecastModal() {
|
|||||||
detail.current?.raw_metar,
|
detail.current?.raw_metar,
|
||||||
detail.current?.visibility_mi,
|
detail.current?.visibility_mi,
|
||||||
);
|
);
|
||||||
|
const ai = parseAiAnalysis(detail.ai_analysis);
|
||||||
|
const risk = detail.risk || {};
|
||||||
|
const settlementSourceCode = String(
|
||||||
|
detail.current?.settlement_source || "",
|
||||||
|
).toLowerCase();
|
||||||
|
const isOfficialSettlementSource =
|
||||||
|
settlementSourceCode === "hko" || settlementSourceCode === "cwa";
|
||||||
|
const settlementProfileLabel = isOfficialSettlementSource
|
||||||
|
? locale === "en-US"
|
||||||
|
? "Settlement source"
|
||||||
|
: "结算源"
|
||||||
|
: t("section.airport");
|
||||||
|
const settlementProfileValue =
|
||||||
|
settlementSourceCode === "hko"
|
||||||
|
? locale === "en-US"
|
||||||
|
? "Hong Kong Observatory (HKO)"
|
||||||
|
: "香港天文台 (HKO)"
|
||||||
|
: settlementSourceCode === "noaa"
|
||||||
|
? locale === "en-US"
|
||||||
|
? "NOAA RCTP (Taiwan Taoyuan International Airport)"
|
||||||
|
: "NOAA RCTP(台湾桃园国际机场)"
|
||||||
|
: settlementSourceCode === "cwa"
|
||||||
|
? locale === "en-US"
|
||||||
|
? "Central Weather Administration (CWA)"
|
||||||
|
: "交通部中央气象署 (CWA)"
|
||||||
|
: risk.airport
|
||||||
|
? `${risk.airport}${risk.icao ? ` (${risk.icao})` : ""}`
|
||||||
|
: "--";
|
||||||
|
|
||||||
return (
|
return (
|
||||||
<div
|
<div
|
||||||
@@ -547,224 +579,198 @@ export function FutureForecastModal() {
|
|||||||
}
|
}
|
||||||
}}
|
}}
|
||||||
>
|
>
|
||||||
<div className="modal-content large future-modal">
|
{isProLoading ? (
|
||||||
<div className="modal-header">
|
<div
|
||||||
<h2
|
className="modal-content large"
|
||||||
id="future-modal-title"
|
style={{ padding: "40px", textAlign: "center" }}
|
||||||
className="future-modal-title-with-actions"
|
>
|
||||||
>
|
<div style={{ color: "var(--text-muted)" }}>
|
||||||
<span>
|
{t("dashboard.loading")}
|
||||||
{isToday
|
</div>
|
||||||
? t("future.todayTitle", {
|
|
||||||
city: detail.display_name.toUpperCase(),
|
|
||||||
})
|
|
||||||
: t("future.dateTitle", {
|
|
||||||
city: detail.display_name.toUpperCase(),
|
|
||||||
date: dateStr,
|
|
||||||
})}
|
|
||||||
</span>
|
|
||||||
<button
|
|
||||||
className={clsx(
|
|
||||||
"future-refresh-btn",
|
|
||||||
store.loadingState.marketScan && "spinning",
|
|
||||||
)}
|
|
||||||
onClick={() => {
|
|
||||||
if (isToday) {
|
|
||||||
void store.openTodayModal(true);
|
|
||||||
return;
|
|
||||||
}
|
|
||||||
store.openFutureModal(dateStr, true);
|
|
||||||
}}
|
|
||||||
title={locale === "en-US" ? "Refresh Data" : "刷新数据"}
|
|
||||||
>
|
|
||||||
<svg
|
|
||||||
width="14"
|
|
||||||
height="14"
|
|
||||||
viewBox="0 0 24 24"
|
|
||||||
fill="none"
|
|
||||||
stroke="currentColor"
|
|
||||||
strokeWidth="2.5"
|
|
||||||
strokeLinecap="round"
|
|
||||||
strokeLinejoin="round"
|
|
||||||
>
|
|
||||||
<path d="M3 12a9 9 0 1 0 9-9 9.75 9.75 0 0 0-6.74 2.74L3 8" />
|
|
||||||
<path d="M3 3v5h5" />
|
|
||||||
</svg>
|
|
||||||
</button>
|
|
||||||
</h2>
|
|
||||||
<button
|
|
||||||
type="button"
|
|
||||||
className="modal-close"
|
|
||||||
aria-label={
|
|
||||||
isToday ? t("future.closeTodayAria") : t("future.closeDateAria")
|
|
||||||
}
|
|
||||||
onClick={store.closeFutureModal}
|
|
||||||
>
|
|
||||||
×
|
|
||||||
</button>
|
|
||||||
</div>
|
</div>
|
||||||
|
) : !isPro ? (
|
||||||
<div className="modal-body future-modal-body">
|
<ProFeaturePaywall
|
||||||
{isToday ? (
|
feature={isToday ? "today" : "future"}
|
||||||
<div className="future-v2-layout">
|
onClose={store.closeFutureModal}
|
||||||
<aside className="future-v2-left">
|
/>
|
||||||
<section className="future-v2-card future-v2-hero-card">
|
) : (
|
||||||
<h3 className="future-v2-hero-title">
|
<div className="modal-content large future-modal">
|
||||||
{locale === "en-US"
|
<div className="modal-header">
|
||||||
? "Current Conditions"
|
<h2
|
||||||
: "实况与气象特征"}
|
id="future-modal-title"
|
||||||
</h3>
|
className="future-modal-title-with-actions"
|
||||||
<div className="future-v2-hero-main">
|
>
|
||||||
<div className="future-v2-hero-temp">{currentTempText}</div>
|
<span>
|
||||||
<div className="future-v2-hero-divider" />
|
{isToday
|
||||||
<div className="future-v2-hero-weather">
|
? t("future.todayTitle", {
|
||||||
<span className="future-v2-hero-icon">
|
city: detail.display_name.toUpperCase(),
|
||||||
<WeatherIcon
|
})
|
||||||
emoji={weatherSummary.weatherIcon}
|
: t("future.dateTitle", {
|
||||||
size={42}
|
city: detail.display_name.toUpperCase(),
|
||||||
/>
|
date: dateStr,
|
||||||
</span>
|
})}
|
||||||
<span>{weatherSummary.weatherText}</span>
|
</span>
|
||||||
</div>
|
<button
|
||||||
</div>
|
className={clsx(
|
||||||
<div className="future-v2-hero-obs">
|
"future-refresh-btn",
|
||||||
@{detail.current?.obs_time || "--"}
|
store.loadingState.marketScan && "spinning",
|
||||||
</div>
|
)}
|
||||||
<div className="future-v2-mini-grid">
|
disabled={!isPro || isProLoading}
|
||||||
<div className="future-v2-mini-item">
|
onClick={() => {
|
||||||
<span>
|
if (isToday) {
|
||||||
{locale === "en-US" ? "High So Far" : "目前最高温"}
|
void store.openTodayModal(true);
|
||||||
</span>
|
return;
|
||||||
<strong>
|
}
|
||||||
{topObservedTemp ?? "--"}
|
store.openFutureModal(dateStr, true);
|
||||||
{detail.temp_symbol}
|
}}
|
||||||
</strong>
|
title={
|
||||||
</div>
|
!isPro
|
||||||
<div className="future-v2-mini-item">
|
? locale === "en-US"
|
||||||
<span>{locale === "en-US" ? "Sunrise" : "日出时间"}</span>
|
? "Pro subscription required"
|
||||||
<strong>{detail.forecast?.sunrise || "--"}</strong>
|
: "需要 Pro 订阅"
|
||||||
</div>
|
: locale === "en-US"
|
||||||
<div className="future-v2-mini-item">
|
? "Refresh Data"
|
||||||
<span>{locale === "en-US" ? "Sunset" : "日落时间"}</span>
|
: "刷新数据"
|
||||||
<strong>{detail.forecast?.sunset || "--"}</strong>
|
}
|
||||||
</div>
|
>
|
||||||
<div className="future-v2-mini-item">
|
<svg
|
||||||
<span>
|
width="14"
|
||||||
{locale === "en-US" ? "Sunshine" : "日照时长"}
|
height="14"
|
||||||
</span>
|
viewBox="0 0 24 24"
|
||||||
<strong>
|
fill="none"
|
||||||
{detail.forecast?.sunshine_hours != null
|
stroke="currentColor"
|
||||||
? `${detail.forecast.sunshine_hours}h`
|
strokeWidth="2.5"
|
||||||
: "--"}
|
strokeLinecap="round"
|
||||||
</strong>
|
strokeLinejoin="round"
|
||||||
</div>
|
>
|
||||||
</div>
|
<path d="M3 12a9 9 0 1 0 9-9 9.75 9.75 0 0 0-6.74 2.74L3 8" />
|
||||||
</section>
|
<path d="M3 3v5h5" />
|
||||||
|
</svg>
|
||||||
<section className="future-v2-card">
|
</button>
|
||||||
<h4 className="future-v2-card-title">
|
</h2>
|
||||||
{locale === "en-US" ? "Current Metrics" : "当前指标"}
|
<button
|
||||||
</h4>
|
type="button"
|
||||||
<div className="future-v2-mini-grid future-v2-mini-grid-tight">
|
className="modal-close"
|
||||||
<div className="future-v2-mini-item">
|
aria-label={
|
||||||
<span>{locale === "en-US" ? "Humidity" : "湿度"}</span>
|
isToday ? t("future.closeTodayAria") : t("future.closeDateAria")
|
||||||
<strong>{humidityText}</strong>
|
}
|
||||||
</div>
|
onClick={store.closeFutureModal}
|
||||||
<div className="future-v2-mini-item">
|
>
|
||||||
<span>{locale === "en-US" ? "Dew Point" : "露点"}</span>
|
×
|
||||||
<strong>{dewpointText}</strong>
|
</button>
|
||||||
</div>
|
</div>
|
||||||
<div className="future-v2-mini-item">
|
<div className="modal-body future-modal-body">
|
||||||
<span>{locale === "en-US" ? "Wind" : "风速"}</span>
|
{isTaipeiNoaa && (
|
||||||
<strong>{windText}</strong>
|
<div
|
||||||
</div>
|
style={{
|
||||||
<div className="future-v2-mini-item">
|
marginBottom: "16px",
|
||||||
<span>
|
padding: "12px 14px",
|
||||||
{locale === "en-US" ? "Visibility" : "能见度"}
|
border: "1px solid rgba(56, 189, 248, 0.24)",
|
||||||
</span>
|
borderRadius: "12px",
|
||||||
<strong>{visibilityText}</strong>
|
background: "rgba(14, 165, 233, 0.08)",
|
||||||
</div>
|
color: "var(--text-secondary)",
|
||||||
</div>
|
fontSize: "13px",
|
||||||
</section>
|
lineHeight: 1.6,
|
||||||
|
}}
|
||||||
<section className="future-v2-card">
|
>
|
||||||
<h4 className="future-v2-card-title">
|
{locale === "en-US"
|
||||||
{locale === "en-US" ? "Market Alignment" : "市场对照"}
|
? "Taipei now settles against NOAA RCTP (Taiwan Taoyuan International Airport). The market uses the highest rounded whole-degree Celsius reading in the Temp column after the day is finalized."
|
||||||
</h4>
|
: "台北当前按 NOAA RCTP(台湾桃园国际机场)结算。市场最终采用该日 Temp 列完成质控后的最高整度摄氏值,不按小数温度结算。"}
|
||||||
<div className="future-v2-market-v3">
|
</div>
|
||||||
{/* Loading Overlay */}
|
)}
|
||||||
{store.loadingState.marketScan && (
|
{isToday ? (
|
||||||
<div className="market-layer-loading-overlay">
|
<div className="future-v2-layout">
|
||||||
<div
|
<aside className="future-v2-left">
|
||||||
className="loading-spinner"
|
<section className="future-v2-card future-v2-hero-card">
|
||||||
style={{
|
<h3 className="future-v2-hero-title">
|
||||||
marginBottom: "8px",
|
{locale === "en-US"
|
||||||
width: "24px",
|
? "Current Conditions"
|
||||||
height: "24px",
|
: "实况与气象特征"}
|
||||||
borderWidth: "2px",
|
</h3>
|
||||||
}}
|
<div className="future-v2-hero-main">
|
||||||
/>
|
<div className="future-v2-hero-temp">
|
||||||
{locale === "en-US"
|
{currentTempText}
|
||||||
? "Crunching Polymarket Edges..."
|
|
||||||
: "正在计算市场对手盘..."}
|
|
||||||
</div>
|
</div>
|
||||||
)}
|
<div className="future-v2-hero-divider" />
|
||||||
|
<div className="future-v2-hero-weather">
|
||||||
{/* Layer 1: Target & Edge */}
|
<span className="future-v2-hero-icon">
|
||||||
<div className="market-layer-target">
|
<WeatherIcon
|
||||||
<div className="market-target-header">
|
emoji={weatherSummary.weatherIcon}
|
||||||
<span>
|
size={42}
|
||||||
{locale === "en-US"
|
/>
|
||||||
? "Target Bucket:"
|
|
||||||
: "结算温度区间:"}
|
|
||||||
</span>
|
</span>
|
||||||
<strong className="market-target-bucket">
|
<span>{weatherSummary.weatherText}</span>
|
||||||
{settlementBucketLabel}
|
|
||||||
</strong>
|
|
||||||
</div>
|
</div>
|
||||||
</div>
|
</div>
|
||||||
|
<div className="future-v2-hero-obs">
|
||||||
{/* Layer 3: Context */}
|
@{detail.current?.obs_time || "--"}
|
||||||
<div className="market-layer-context">
|
</div>
|
||||||
<div className="market-sub-title">
|
<div className="future-v2-mini-grid">
|
||||||
👀 {locale === "en-US" ? "Market Radar" : "情绪雷达"}
|
<div className="future-v2-mini-item">
|
||||||
</div>
|
|
||||||
<div className="market-context-row">
|
|
||||||
<span>
|
<span>
|
||||||
{locale === "en-US"
|
{locale === "en-US" ? "High So Far" : "目前最高温"}
|
||||||
? "Top Volume Bucket:"
|
|
||||||
: "市场当前押注最热:"}
|
|
||||||
</span>
|
</span>
|
||||||
<strong>
|
<strong>
|
||||||
{hottestBucketLabel}{" "}
|
{topObservedTemp ?? "--"}
|
||||||
{hottestBucketProb !== "--"
|
{detail.temp_symbol}
|
||||||
? `(${hottestBucketProb})`
|
</strong>
|
||||||
: ""}
|
</div>
|
||||||
|
<div className="future-v2-mini-item">
|
||||||
|
<span>
|
||||||
|
{locale === "en-US" ? "Sunrise" : "日出时间"}
|
||||||
|
</span>
|
||||||
|
<strong>{detail.forecast?.sunrise || "--"}</strong>
|
||||||
|
</div>
|
||||||
|
<div className="future-v2-mini-item">
|
||||||
|
<span>
|
||||||
|
{locale === "en-US" ? "Sunset" : "日落时间"}
|
||||||
|
</span>
|
||||||
|
<strong>{detail.forecast?.sunset || "--"}</strong>
|
||||||
|
</div>
|
||||||
|
<div className="future-v2-mini-item">
|
||||||
|
<span>
|
||||||
|
{locale === "en-US" ? "Sunshine" : "日照时长"}
|
||||||
|
</span>
|
||||||
|
<strong>
|
||||||
|
{detail.forecast?.sunshine_hours != null
|
||||||
|
? `${detail.forecast.sunshine_hours}h`
|
||||||
|
: "--"}
|
||||||
</strong>
|
</strong>
|
||||||
</div>
|
</div>
|
||||||
</div>
|
</div>
|
||||||
</div>
|
</section>
|
||||||
<div className="future-v2-market-signal mt-3">
|
|
||||||
{locale === "en-US" ? "Signal" : "信号"}:{" "}
|
|
||||||
<strong>{marketSignal}</strong>
|
|
||||||
</div>
|
|
||||||
</section>
|
|
||||||
</aside>
|
|
||||||
|
|
||||||
<main className="future-v2-right">
|
<section className="future-v2-card">
|
||||||
<section className="future-modal-section future-v2-main-chart">
|
<h4 className="future-v2-card-title">
|
||||||
<h3>
|
{locale === "en-US" ? "Current Metrics" : "当前指标"}
|
||||||
{locale === "en-US"
|
</h4>
|
||||||
? "Today's temperature forecast (obs + market)"
|
<div className="future-v2-mini-grid future-v2-mini-grid-tight">
|
||||||
: "今日气温预测(观测 + 市场)"}
|
<div className="future-v2-mini-item">
|
||||||
</h3>
|
<span>{locale === "en-US" ? "Humidity" : "湿度"}</span>
|
||||||
<DailyTemperatureChart dateStr={dateStr} />
|
<strong>{humidityText}</strong>
|
||||||
</section>
|
</div>
|
||||||
|
<div className="future-v2-mini-item">
|
||||||
|
<span>{locale === "en-US" ? "Dew Point" : "露点"}</span>
|
||||||
|
<strong>{dewpointText}</strong>
|
||||||
|
</div>
|
||||||
|
<div className="future-v2-mini-item">
|
||||||
|
<span>{locale === "en-US" ? "Wind" : "风速"}</span>
|
||||||
|
<strong>{windText}</strong>
|
||||||
|
</div>
|
||||||
|
<div className="future-v2-mini-item">
|
||||||
|
<span>
|
||||||
|
{locale === "en-US" ? "Visibility" : "能见度"}
|
||||||
|
</span>
|
||||||
|
<strong>{visibilityText}</strong>
|
||||||
|
</div>
|
||||||
|
</div>
|
||||||
|
</section>
|
||||||
|
|
||||||
<div className="future-modal-grid">
|
<section className="future-v2-card">
|
||||||
<section className="future-modal-section">
|
<h4 className="future-v2-card-title">
|
||||||
<h3>{t("future.probability")}</h3>
|
{locale === "en-US" ? "Market Alignment" : "市场对照"}
|
||||||
<div style={{ position: "relative", minHeight: "120px" }}>
|
</h4>
|
||||||
|
<div className="future-v2-market-v3">
|
||||||
{/* Loading Overlay */}
|
{/* Loading Overlay */}
|
||||||
{store.loadingState.marketScan && (
|
{store.loadingState.marketScan && (
|
||||||
<div className="market-layer-loading-overlay">
|
<div className="market-layer-loading-overlay">
|
||||||
@@ -779,28 +785,100 @@ export function FutureForecastModal() {
|
|||||||
/>
|
/>
|
||||||
{locale === "en-US"
|
{locale === "en-US"
|
||||||
? "Crunching Polymarket Edges..."
|
? "Crunching Polymarket Edges..."
|
||||||
: "正在同步市场挂单..."}
|
: "正在计算市场对手盘..."}
|
||||||
</div>
|
</div>
|
||||||
)}
|
)}
|
||||||
<ProbabilityDistribution
|
|
||||||
|
{/* Layer 1: Target & Edge */}
|
||||||
|
<div className="market-layer-target">
|
||||||
|
<div className="market-target-header">
|
||||||
|
<span>
|
||||||
|
{locale === "en-US"
|
||||||
|
? "Target Bucket:"
|
||||||
|
: "结算温度区间:"}
|
||||||
|
</span>
|
||||||
|
<strong className="market-target-bucket">
|
||||||
|
{settlementBucketLabel}
|
||||||
|
</strong>
|
||||||
|
</div>
|
||||||
|
</div>
|
||||||
|
|
||||||
|
{/* Layer 3: Context */}
|
||||||
|
<div className="market-layer-context">
|
||||||
|
<div className="market-sub-title">
|
||||||
|
👀 {locale === "en-US" ? "Market Radar" : "情绪雷达"}
|
||||||
|
</div>
|
||||||
|
<div className="market-context-row">
|
||||||
|
<span>
|
||||||
|
{locale === "en-US"
|
||||||
|
? "Top Volume Bucket:"
|
||||||
|
: "市场当前押注最热:"}
|
||||||
|
</span>
|
||||||
|
<strong>
|
||||||
|
{hottestBucketLabel}{" "}
|
||||||
|
{hottestBucketProb !== "--"
|
||||||
|
? `(${hottestBucketProb})`
|
||||||
|
: ""}
|
||||||
|
</strong>
|
||||||
|
</div>
|
||||||
|
</div>
|
||||||
|
</div>
|
||||||
|
<div className="future-v2-market-signal mt-3">
|
||||||
|
{locale === "en-US" ? "Signal" : "信号"}:{" "}
|
||||||
|
<strong>{marketSignal}</strong>
|
||||||
|
</div>
|
||||||
|
</section>
|
||||||
|
</aside>
|
||||||
|
|
||||||
|
<main className="future-v2-right">
|
||||||
|
<section className="future-modal-section future-v2-main-chart">
|
||||||
|
<h3>
|
||||||
|
{locale === "en-US"
|
||||||
|
? "Today's temperature forecast (obs + market)"
|
||||||
|
: "今日气温预测(观测 + 市场)"}
|
||||||
|
</h3>
|
||||||
|
<DailyTemperatureChart dateStr={dateStr} />
|
||||||
|
</section>
|
||||||
|
|
||||||
|
<div className="future-modal-grid">
|
||||||
|
<section className="future-modal-section">
|
||||||
|
<h3>{t("future.probability")}</h3>
|
||||||
|
<div style={{ position: "relative", minHeight: "120px" }}>
|
||||||
|
{/* Loading Overlay */}
|
||||||
|
{store.loadingState.marketScan && (
|
||||||
|
<div className="market-layer-loading-overlay">
|
||||||
|
<div
|
||||||
|
className="loading-spinner"
|
||||||
|
style={{
|
||||||
|
marginBottom: "8px",
|
||||||
|
width: "24px",
|
||||||
|
height: "24px",
|
||||||
|
borderWidth: "2px",
|
||||||
|
}}
|
||||||
|
/>
|
||||||
|
{locale === "en-US"
|
||||||
|
? "Crunching Polymarket Edges..."
|
||||||
|
: "正在同步市场挂单..."}
|
||||||
|
</div>
|
||||||
|
)}
|
||||||
|
<ProbabilityDistribution
|
||||||
|
detail={detail}
|
||||||
|
targetDate={dateStr}
|
||||||
|
hideTitle
|
||||||
|
marketScan={marketScan}
|
||||||
|
/>
|
||||||
|
</div>
|
||||||
|
</section>
|
||||||
|
<section className="future-modal-section">
|
||||||
|
<h3>{t("future.models")}</h3>
|
||||||
|
<ModelForecast
|
||||||
detail={detail}
|
detail={detail}
|
||||||
targetDate={dateStr}
|
targetDate={dateStr}
|
||||||
hideTitle
|
hideTitle
|
||||||
marketScan={marketScan}
|
|
||||||
/>
|
/>
|
||||||
</div>
|
</section>
|
||||||
</section>
|
</div>
|
||||||
<section className="future-modal-section">
|
|
||||||
<h3>{t("future.models")}</h3>
|
|
||||||
<ModelForecast
|
|
||||||
detail={detail}
|
|
||||||
targetDate={dateStr}
|
|
||||||
hideTitle
|
|
||||||
/>
|
|
||||||
</section>
|
|
||||||
</div>
|
|
||||||
|
|
||||||
<div className="future-modal-grid">
|
|
||||||
<section className="future-modal-section">
|
<section className="future-modal-section">
|
||||||
<h3>{t("future.structureToday")}</h3>
|
<h3>{t("future.structureToday")}</h3>
|
||||||
<div className="future-front-score">
|
<div className="future-front-score">
|
||||||
@@ -818,9 +896,9 @@ export function FutureForecastModal() {
|
|||||||
}}
|
}}
|
||||||
/>
|
/>
|
||||||
</div>
|
</div>
|
||||||
<div className="future-front-meta">
|
<div className="future-front-meta">
|
||||||
<span className="future-front-pill">
|
<span className="future-front-pill">
|
||||||
{t("future.judgement")}: {view.front.label}
|
{t("future.judgement")}: {view.front.label}
|
||||||
</span>
|
</span>
|
||||||
<span className="future-front-pill">
|
<span className="future-front-pill">
|
||||||
{t("future.confidence")}:{" "}
|
{t("future.confidence")}:{" "}
|
||||||
@@ -831,13 +909,16 @@ export function FutureForecastModal() {
|
|||||||
{Math.round(view.front.precipMax)}%
|
{Math.round(view.front.precipMax)}%
|
||||||
</span>
|
</span>
|
||||||
</div>
|
</div>
|
||||||
|
{view.front.summary ? (
|
||||||
|
<div className="future-trend-summary">
|
||||||
|
{view.front.summary}
|
||||||
|
</div>
|
||||||
|
) : null}
|
||||||
</div>
|
</div>
|
||||||
<div className="future-trend-grid">
|
<div className="future-trend-grid">
|
||||||
{view.front.metrics.slice(0, 6).map((metric) => (
|
{view.front.metrics.slice(0, 6).map((metric) => (
|
||||||
<div key={metric.label} className="future-trend-card">
|
<div key={metric.label} className="future-trend-card">
|
||||||
<div className="future-trend-label">
|
<div className="future-trend-label">{metric.label}</div>
|
||||||
{metric.label}
|
|
||||||
</div>
|
|
||||||
<div
|
<div
|
||||||
className={clsx(
|
className={clsx(
|
||||||
"future-trend-value",
|
"future-trend-value",
|
||||||
@@ -854,111 +935,137 @@ export function FutureForecastModal() {
|
|||||||
</section>
|
</section>
|
||||||
|
|
||||||
<section className="future-modal-section">
|
<section className="future-modal-section">
|
||||||
<h3>{t("future.ai")}</h3>
|
<h3>
|
||||||
<div className="future-text-block">
|
{locale === "en-US"
|
||||||
{ai.summary ? (
|
? "City Risk Profile & Airport Narrative"
|
||||||
<div>{ai.summary}</div>
|
: "城市风险档案与机场报文解读"}
|
||||||
) : (
|
</h3>
|
||||||
<div>{t("future.noAi")}</div>
|
<div className="future-modal-grid">
|
||||||
)}
|
<div>
|
||||||
{ai.bullets.length > 0 && (
|
<h4 className="future-v2-card-title">
|
||||||
<div style={{ marginTop: "10px" }}>
|
{locale === "en-US" ? "City Risk Profile" : "城市风险档案"}
|
||||||
{ai.bullets.slice(0, 3).map((item) => (
|
</h4>
|
||||||
<div key={item}>{item}</div>
|
<div className="risk-info" style={{ marginTop: "10px" }}>
|
||||||
))}
|
{!risk.airport ? (
|
||||||
|
<span style={{ color: "var(--text-muted)" }}>
|
||||||
|
{t("section.noRiskProfile")}
|
||||||
|
</span>
|
||||||
|
) : (
|
||||||
|
<>
|
||||||
|
<div className="risk-row">
|
||||||
|
<span className="risk-label">
|
||||||
|
{settlementProfileLabel}
|
||||||
|
</span>
|
||||||
|
<span>{settlementProfileValue}</span>
|
||||||
|
</div>
|
||||||
|
<div className="risk-row">
|
||||||
|
<span className="risk-label">
|
||||||
|
{t("section.distance")}
|
||||||
|
</span>
|
||||||
|
<span>{risk.distance_km ?? "--"}km</span>
|
||||||
|
</div>
|
||||||
|
{risk.warning ? (
|
||||||
|
<div className="risk-row">
|
||||||
|
<span className="risk-label">
|
||||||
|
{t("section.note")}
|
||||||
|
</span>
|
||||||
|
<span>{risk.warning}</span>
|
||||||
|
</div>
|
||||||
|
) : null}
|
||||||
|
</>
|
||||||
|
)}
|
||||||
</div>
|
</div>
|
||||||
)}
|
|
||||||
<div style={{ marginTop: "12px" }}>
|
|
||||||
{nowcastRows.slice(0, 4).map(([label, value]) => (
|
|
||||||
<div key={label}>
|
|
||||||
<strong>{label}: </strong>
|
|
||||||
{value}
|
|
||||||
</div>
|
|
||||||
))}
|
|
||||||
</div>
|
</div>
|
||||||
{riskLines.length > 0 && (
|
<div>
|
||||||
<div style={{ marginTop: "12px" }}>
|
<h4 className="future-v2-card-title">{t("future.ai")}</h4>
|
||||||
<strong>
|
<div className="ai-box" style={{ marginTop: "10px" }}>
|
||||||
{locale === "en-US" ? "Risk" : "风险"}:{" "}
|
{!ai.summary && ai.bullets.length === 0 ? (
|
||||||
</strong>
|
<span className="ai-placeholder">
|
||||||
{riskLines[0]}
|
{t("future.noAi")}
|
||||||
|
</span>
|
||||||
|
) : (
|
||||||
|
<>
|
||||||
|
{ai.summary ? (
|
||||||
|
<div className="ai-summary">{ai.summary}</div>
|
||||||
|
) : null}
|
||||||
|
{ai.bullets.length > 0 ? (
|
||||||
|
<ul className="ai-list">
|
||||||
|
{ai.bullets.map((item) => (
|
||||||
|
<li key={item}>{item}</li>
|
||||||
|
))}
|
||||||
|
</ul>
|
||||||
|
) : null}
|
||||||
|
</>
|
||||||
|
)}
|
||||||
</div>
|
</div>
|
||||||
)}
|
</div>
|
||||||
{climateDrivers.length > 0 && (
|
|
||||||
<div style={{ marginTop: "8px" }}>
|
|
||||||
<strong>
|
|
||||||
{locale === "en-US" ? "Climate" : "气候"}:{" "}
|
|
||||||
</strong>
|
|
||||||
{climateDrivers[0].text}
|
|
||||||
</div>
|
|
||||||
)}
|
|
||||||
</div>
|
</div>
|
||||||
</section>
|
</section>
|
||||||
</div>
|
</main>
|
||||||
</main>
|
|
||||||
</div>
|
|
||||||
) : (
|
|
||||||
<>
|
|
||||||
<div className="history-stats">
|
|
||||||
<div className="h-stat-card">
|
|
||||||
<span className="label">{t("future.targetForecast")}</span>
|
|
||||||
<span className="val">
|
|
||||||
{view.forecastEntry?.max_temp ?? "--"}
|
|
||||||
{detail.temp_symbol}
|
|
||||||
</span>
|
|
||||||
</div>
|
|
||||||
<div className="h-stat-card">
|
|
||||||
<span className="label">{t("future.deb")}</span>
|
|
||||||
<span className="val">
|
|
||||||
{view.deb ?? "--"}
|
|
||||||
{detail.temp_symbol}
|
|
||||||
</span>
|
|
||||||
</div>
|
|
||||||
<div className="h-stat-card">
|
|
||||||
<span className="label">{t("future.mu")}</span>
|
|
||||||
<span className="val">
|
|
||||||
{view.mu != null
|
|
||||||
? `${view.mu.toFixed(1)}${detail.temp_symbol}`
|
|
||||||
: "--"}
|
|
||||||
</span>
|
|
||||||
</div>
|
|
||||||
<div className="h-stat-card">
|
|
||||||
<span className="label">{t("future.score")}</span>
|
|
||||||
<span className="val">
|
|
||||||
{view.front.score > 0 ? "+" : ""}
|
|
||||||
{view.front.score}
|
|
||||||
</span>
|
|
||||||
</div>
|
|
||||||
</div>
|
</div>
|
||||||
|
) : (
|
||||||
|
<>
|
||||||
|
<div className="history-stats">
|
||||||
|
<div className="h-stat-card">
|
||||||
|
<span className="label">{t("future.targetForecast")}</span>
|
||||||
|
<span className="val">
|
||||||
|
{view.forecastEntry?.max_temp ?? "--"}
|
||||||
|
{detail.temp_symbol}
|
||||||
|
</span>
|
||||||
|
</div>
|
||||||
|
<div className="h-stat-card">
|
||||||
|
<span className="label">{t("future.deb")}</span>
|
||||||
|
<span className="val">
|
||||||
|
{view.deb ?? "--"}
|
||||||
|
{detail.temp_symbol}
|
||||||
|
</span>
|
||||||
|
</div>
|
||||||
|
<div className="h-stat-card">
|
||||||
|
<span className="label">{t("future.mu")}</span>
|
||||||
|
<span className="val">
|
||||||
|
{view.mu != null
|
||||||
|
? `${view.mu.toFixed(1)}${detail.temp_symbol}`
|
||||||
|
: "--"}
|
||||||
|
</span>
|
||||||
|
</div>
|
||||||
|
<div className="h-stat-card">
|
||||||
|
<span className="label">{t("future.score")}</span>
|
||||||
|
<span className="val">
|
||||||
|
{view.front.score > 0 ? "+" : ""}
|
||||||
|
{view.front.score}
|
||||||
|
</span>
|
||||||
|
</div>
|
||||||
|
</div>
|
||||||
|
|
||||||
<section className="future-modal-section">
|
<section className="future-modal-section">
|
||||||
<h3>{t("future.targetTempTrend")}</h3>
|
<h3>{t("future.targetTempTrend")}</h3>
|
||||||
<DailyTemperatureChart dateStr={dateStr} />
|
<DailyTemperatureChart dateStr={dateStr} />
|
||||||
</section>
|
</section>
|
||||||
|
|
||||||
<div className="future-modal-grid">
|
<div className="future-modal-grid">
|
||||||
<section className="future-modal-section">
|
<section className="future-modal-section">
|
||||||
<h3>{t("future.probability")}</h3>
|
<h3>{t("future.probability")}</h3>
|
||||||
<ProbabilityDistribution
|
<ProbabilityDistribution
|
||||||
detail={detail}
|
detail={detail}
|
||||||
targetDate={dateStr}
|
targetDate={dateStr}
|
||||||
hideTitle
|
hideTitle
|
||||||
marketScan={marketScan}
|
marketScan={marketScan}
|
||||||
/>
|
/>
|
||||||
</section>
|
</section>
|
||||||
<section className="future-modal-section">
|
<section className="future-modal-section">
|
||||||
<h3>{t("future.models")}</h3>
|
<h3>{t("future.models")}</h3>
|
||||||
<ModelForecast
|
<ModelForecast
|
||||||
detail={detail}
|
detail={detail}
|
||||||
targetDate={dateStr}
|
targetDate={dateStr}
|
||||||
hideTitle
|
hideTitle
|
||||||
/>
|
/>
|
||||||
</section>
|
</section>
|
||||||
</div>
|
</div>
|
||||||
</>
|
</>
|
||||||
)}
|
)}
|
||||||
|
</div>
|
||||||
</div>
|
</div>
|
||||||
</div>
|
)}
|
||||||
</div>
|
</div>
|
||||||
);
|
);
|
||||||
}
|
}
|
||||||
|
|||||||
@@ -14,7 +14,7 @@ const GUIDE_CARDS = {
|
|||||||
title: "结算概率引擎",
|
title: "结算概率引擎",
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
body: "Polymarket 结算逻辑以机场 METAR 为主。系统优先使用 Aviation Weather API 的机场报文与原始 METAR,并区分观测时间与接收时间,避免把发布延迟误认为温度变化。",
|
body: "结算源按城市市场定义:米兰(LIMC)、华沙(EPWA)、马德里(LEMD)使用机场 METAR;香港市场使用香港天文台(HKO);台北市场使用交通部中央气象署(CWA)。系统仍会保留 METAR/MGM 作为临近结构参考,并区分观测时间与接收时间。",
|
||||||
title: "结算点与主观测源",
|
title: "结算点与主观测源",
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
@@ -40,7 +40,7 @@ const GUIDE_CARDS = {
|
|||||||
title: "Settlement Probability Engine",
|
title: "Settlement Probability Engine",
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
body: "Polymarket settlement follows airport METAR observations. The system prioritizes Aviation Weather API raw METAR and distinguishes observation time from receipt time to avoid misreading publication delay as temperature change.",
|
body: "Settlement source follows market rule by city: Milan (LIMC), Warsaw (EPWA), and Madrid (LEMD) settle on airport METAR, Hong Kong settles on HKO, and Taipei settles on CWA. METAR/MGM are still kept for intraday structure tracking with observation time vs receipt time separated.",
|
||||||
title: "Settlement Source Logic",
|
title: "Settlement Source Logic",
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
|
|||||||
@@ -1,12 +1,57 @@
|
|||||||
"use client";
|
"use client";
|
||||||
|
|
||||||
|
import { useEffect, useState } from "react";
|
||||||
|
import Link from "next/link";
|
||||||
import clsx from "clsx";
|
import clsx from "clsx";
|
||||||
|
import { LogIn, UserRound } from "lucide-react";
|
||||||
import { useDashboardStore } from "@/hooks/useDashboardStore";
|
import { useDashboardStore } from "@/hooks/useDashboardStore";
|
||||||
import { useI18n } from "@/hooks/useI18n";
|
import { useI18n } from "@/hooks/useI18n";
|
||||||
|
import {
|
||||||
|
getSupabaseBrowserClient,
|
||||||
|
hasSupabasePublicEnv,
|
||||||
|
} from "@/lib/supabase/client";
|
||||||
|
|
||||||
export function HeaderBar() {
|
export function HeaderBar() {
|
||||||
const store = useDashboardStore();
|
const store = useDashboardStore();
|
||||||
const { locale, setLocale, t } = useI18n();
|
const { locale, setLocale, t } = useI18n();
|
||||||
|
const [isAuthenticated, setIsAuthenticated] = useState(false);
|
||||||
|
const supabaseReady = hasSupabasePublicEnv();
|
||||||
|
|
||||||
|
useEffect(() => {
|
||||||
|
let mounted = true;
|
||||||
|
|
||||||
|
if (!supabaseReady) {
|
||||||
|
setIsAuthenticated(false);
|
||||||
|
return;
|
||||||
|
}
|
||||||
|
|
||||||
|
const supabase = getSupabaseBrowserClient();
|
||||||
|
|
||||||
|
void supabase.auth.getSession().then(({ data }) => {
|
||||||
|
if (!mounted) return;
|
||||||
|
setIsAuthenticated(Boolean(data.session?.user?.id));
|
||||||
|
});
|
||||||
|
|
||||||
|
const {
|
||||||
|
data: { subscription },
|
||||||
|
} = supabase.auth.onAuthStateChange((_event, session) => {
|
||||||
|
if (!mounted) return;
|
||||||
|
setIsAuthenticated(Boolean(session?.user?.id));
|
||||||
|
});
|
||||||
|
|
||||||
|
return () => {
|
||||||
|
mounted = false;
|
||||||
|
subscription.unsubscribe();
|
||||||
|
};
|
||||||
|
}, [supabaseReady]);
|
||||||
|
|
||||||
|
const accountHref = isAuthenticated
|
||||||
|
? "/account"
|
||||||
|
: "/auth/login?next=%2Faccount";
|
||||||
|
const accountLabel = isAuthenticated ? t("header.account") : t("header.signIn");
|
||||||
|
const accountAria = isAuthenticated
|
||||||
|
? t("header.accountAria")
|
||||||
|
: t("header.signInAria");
|
||||||
|
|
||||||
return (
|
return (
|
||||||
<header className="header">
|
<header className="header">
|
||||||
@@ -33,6 +78,16 @@ export function HeaderBar() {
|
|||||||
</button>
|
</button>
|
||||||
</div>
|
</div>
|
||||||
|
|
||||||
|
<Link
|
||||||
|
href={accountHref}
|
||||||
|
className="account-btn"
|
||||||
|
title={accountAria}
|
||||||
|
aria-label={accountAria}
|
||||||
|
>
|
||||||
|
{isAuthenticated ? <UserRound size={14} /> : <LogIn size={14} />}
|
||||||
|
<span>{accountLabel}</span>
|
||||||
|
</Link>
|
||||||
|
|
||||||
<button
|
<button
|
||||||
type="button"
|
type="button"
|
||||||
className="info-btn"
|
className="info-btn"
|
||||||
|
|||||||
@@ -1,16 +1,18 @@
|
|||||||
"use client";
|
"use client";
|
||||||
|
|
||||||
import { ChartConfiguration } from "chart.js/auto";
|
import type { ChartConfiguration } from "chart.js";
|
||||||
import { useMemo } from "react";
|
import { useMemo } from "react";
|
||||||
import { useChart } from "@/hooks/useChart";
|
import { useChart } from "@/hooks/useChart";
|
||||||
import { useDashboardStore, useHistoryData } from "@/hooks/useDashboardStore";
|
import { useDashboardStore, useHistoryData } from "@/hooks/useDashboardStore";
|
||||||
import { useI18n } from "@/hooks/useI18n";
|
import { useI18n } from "@/hooks/useI18n";
|
||||||
|
import { ProFeaturePaywall } from "@/components/dashboard/ProFeaturePaywall";
|
||||||
import { getHistorySummary } from "@/lib/dashboard-utils";
|
import { getHistorySummary } from "@/lib/dashboard-utils";
|
||||||
|
|
||||||
function HistoryChart() {
|
function HistoryChart() {
|
||||||
const store = useDashboardStore();
|
const store = useDashboardStore();
|
||||||
const { locale } = useI18n();
|
const { locale } = useI18n();
|
||||||
const { data } = useHistoryData();
|
const { data } = useHistoryData();
|
||||||
|
const isTaipei = store.selectedCity === "taipei";
|
||||||
const summary = useMemo(
|
const summary = useMemo(
|
||||||
() => getHistorySummary(data, store.selectedDetail?.local_date),
|
() => getHistorySummary(data, store.selectedDetail?.local_date),
|
||||||
[data, store.selectedDetail?.local_date],
|
[data, store.selectedDetail?.local_date],
|
||||||
@@ -18,102 +20,129 @@ function HistoryChart() {
|
|||||||
const hasMgm =
|
const hasMgm =
|
||||||
store.selectedCity === "ankara" &&
|
store.selectedCity === "ankara" &&
|
||||||
summary.mgms.some((value) => value != null);
|
summary.mgms.some((value) => value != null);
|
||||||
|
const hasBestBaseline =
|
||||||
|
Boolean(summary.bestModelName) &&
|
||||||
|
summary.bestModelName !== "MGM" &&
|
||||||
|
summary.bestModelSeries.some((value) => value != null);
|
||||||
|
|
||||||
const canvasRef = useChart(
|
const canvasRef = useChart(() => {
|
||||||
() => {
|
const datasets: NonNullable<
|
||||||
const datasets: NonNullable<ChartConfiguration<"line">["data"]>["datasets"] = [
|
ChartConfiguration<"line">["data"]
|
||||||
{
|
>["datasets"] = [
|
||||||
backgroundColor: "rgba(248, 113, 113, 0.1)",
|
{
|
||||||
borderColor: "#f87171",
|
backgroundColor: "rgba(248, 113, 113, 0.1)",
|
||||||
borderWidth: 2,
|
borderColor: "#f87171",
|
||||||
data: summary.actuals,
|
borderWidth: 2,
|
||||||
label: locale === "en-US" ? "Observed High" : "实测最高温",
|
data: summary.actuals,
|
||||||
pointBackgroundColor: "#f87171",
|
label: isTaipei
|
||||||
pointBorderColor: "#fff",
|
? locale === "en-US"
|
||||||
pointHoverRadius: 7,
|
? "NOAA Settled High (RCTP)"
|
||||||
pointRadius: 5,
|
: "NOAA 结算最高温 (RCTP)"
|
||||||
tension: 0.2,
|
: locale === "en-US"
|
||||||
},
|
? "Observed High"
|
||||||
{
|
: "实测最高温",
|
||||||
backgroundColor: "transparent",
|
pointBackgroundColor: "#f87171",
|
||||||
borderColor: "#34d399",
|
pointBorderColor: "#fff",
|
||||||
borderDash: [5, 4],
|
pointHoverRadius: 7,
|
||||||
borderWidth: 2,
|
pointRadius: 5,
|
||||||
data: summary.debs,
|
tension: 0.2,
|
||||||
label: locale === "en-US" ? "DEB Fusion" : "DEB 融合",
|
},
|
||||||
pointHoverRadius: 6,
|
{
|
||||||
pointRadius: 4,
|
backgroundColor: "transparent",
|
||||||
tension: 0.2,
|
borderColor: "#34d399",
|
||||||
},
|
borderDash: [5, 4],
|
||||||
];
|
borderWidth: 2,
|
||||||
|
data: summary.debs,
|
||||||
|
label: locale === "en-US" ? "DEB Fusion" : "DEB 融合",
|
||||||
|
pointHoverRadius: 6,
|
||||||
|
pointRadius: 4,
|
||||||
|
tension: 0.2,
|
||||||
|
},
|
||||||
|
];
|
||||||
|
|
||||||
if (hasMgm) {
|
if (hasMgm) {
|
||||||
datasets.push({
|
datasets.push({
|
||||||
backgroundColor: "transparent",
|
backgroundColor: "transparent",
|
||||||
borderColor: "#fb923c",
|
borderColor: "#fb923c",
|
||||||
borderWidth: 2,
|
borderWidth: 2,
|
||||||
data: summary.mgms,
|
data: summary.mgms,
|
||||||
label: locale === "en-US" ? "MGM Official Forecast" : "MGM 官方预报",
|
label: locale === "en-US" ? "MGM Official Forecast" : "MGM 官方预报",
|
||||||
pointHoverRadius: 6,
|
pointHoverRadius: 6,
|
||||||
pointRadius: 4,
|
pointRadius: 4,
|
||||||
tension: 0.2,
|
tension: 0.2,
|
||||||
});
|
});
|
||||||
}
|
}
|
||||||
|
|
||||||
return {
|
if (hasBestBaseline) {
|
||||||
data: {
|
datasets.push({
|
||||||
datasets,
|
backgroundColor: "transparent",
|
||||||
labels: summary.dates,
|
borderColor: "#60a5fa",
|
||||||
},
|
borderDash: [4, 3],
|
||||||
options: {
|
borderWidth: 2,
|
||||||
interaction: { intersect: false, mode: "index" },
|
data: summary.bestModelSeries,
|
||||||
maintainAspectRatio: false,
|
label:
|
||||||
plugins: {
|
locale === "en-US"
|
||||||
legend: {
|
? `Best Baseline (${summary.bestModelName})`
|
||||||
labels: {
|
: `最佳单模型 (${summary.bestModelName})`,
|
||||||
boxHeight: 12,
|
pointHoverRadius: 6,
|
||||||
boxWidth: 34,
|
pointRadius: 4,
|
||||||
color: "#94a3b8",
|
tension: 0.2,
|
||||||
font: { family: "Inter", size: 14 },
|
});
|
||||||
padding: 18,
|
}
|
||||||
},
|
|
||||||
},
|
return {
|
||||||
tooltip: {
|
data: {
|
||||||
backgroundColor: "rgba(15, 23, 42, 0.9)",
|
datasets,
|
||||||
borderColor: "rgba(255, 255, 255, 0.1)",
|
labels: summary.dates,
|
||||||
borderWidth: 1,
|
},
|
||||||
bodyFont: { family: "Inter", size: 13 },
|
options: {
|
||||||
titleFont: { family: "Inter", size: 13, weight: 600 },
|
interaction: { intersect: false, mode: "index" },
|
||||||
callbacks: {
|
maintainAspectRatio: false,
|
||||||
label: (ctx) => `${ctx.dataset.label}: ${ctx.parsed.y?.toFixed(1)}°`,
|
plugins: {
|
||||||
},
|
legend: {
|
||||||
|
labels: {
|
||||||
|
boxHeight: 12,
|
||||||
|
boxWidth: 34,
|
||||||
|
color: "#94a3b8",
|
||||||
|
font: { family: "Inter", size: 14 },
|
||||||
|
padding: 18,
|
||||||
},
|
},
|
||||||
},
|
},
|
||||||
responsive: true,
|
tooltip: {
|
||||||
scales: {
|
backgroundColor: "rgba(15, 23, 42, 0.9)",
|
||||||
x: {
|
borderColor: "rgba(255, 255, 255, 0.1)",
|
||||||
grid: { color: "rgba(255,255,255,0.04)" },
|
borderWidth: 1,
|
||||||
ticks: {
|
bodyFont: { family: "Inter", size: 13 },
|
||||||
color: "#64748b",
|
titleFont: { family: "Inter", size: 13, weight: 600 },
|
||||||
font: { family: "Inter", size: 12 },
|
callbacks: {
|
||||||
padding: 8,
|
label: (ctx) =>
|
||||||
},
|
`${ctx.dataset.label}: ${ctx.parsed.y?.toFixed(1)}°`,
|
||||||
},
|
|
||||||
y: {
|
|
||||||
grid: { color: "rgba(255,255,255,0.04)" },
|
|
||||||
ticks: {
|
|
||||||
color: "#64748b",
|
|
||||||
font: { family: "Inter", size: 12 },
|
|
||||||
padding: 8,
|
|
||||||
},
|
|
||||||
},
|
},
|
||||||
},
|
},
|
||||||
},
|
},
|
||||||
type: "line",
|
responsive: true,
|
||||||
} satisfies ChartConfiguration<"line">;
|
scales: {
|
||||||
},
|
x: {
|
||||||
[hasMgm, summary, locale],
|
grid: { color: "rgba(255,255,255,0.04)" },
|
||||||
);
|
ticks: {
|
||||||
|
color: "#64748b",
|
||||||
|
font: { family: "Inter", size: 12 },
|
||||||
|
padding: 8,
|
||||||
|
},
|
||||||
|
},
|
||||||
|
y: {
|
||||||
|
grid: { color: "rgba(255,255,255,0.04)" },
|
||||||
|
ticks: {
|
||||||
|
color: "#64748b",
|
||||||
|
font: { family: "Inter", size: 12 },
|
||||||
|
padding: 8,
|
||||||
|
},
|
||||||
|
},
|
||||||
|
},
|
||||||
|
},
|
||||||
|
type: "line",
|
||||||
|
} satisfies ChartConfiguration<"line">;
|
||||||
|
}, [hasBestBaseline, hasMgm, isTaipei, summary, locale]);
|
||||||
|
|
||||||
if (!summary.recentData.length) return null;
|
if (!summary.recentData.length) return null;
|
||||||
|
|
||||||
@@ -128,6 +157,9 @@ export function HistoryModal() {
|
|||||||
const store = useDashboardStore();
|
const store = useDashboardStore();
|
||||||
const { t } = useI18n();
|
const { t } = useI18n();
|
||||||
const { data, error, isLoading, isOpen } = useHistoryData();
|
const { data, error, isLoading, isOpen } = useHistoryData();
|
||||||
|
const isPro = store.proAccess.subscriptionActive;
|
||||||
|
const isProLoading = store.proAccess.loading;
|
||||||
|
const isTaipei = store.selectedCity === "taipei";
|
||||||
const summary = useMemo(
|
const summary = useMemo(
|
||||||
() => getHistorySummary(data, store.selectedDetail?.local_date),
|
() => getHistorySummary(data, store.selectedDetail?.local_date),
|
||||||
[data, store.selectedDetail?.local_date],
|
[data, store.selectedDetail?.local_date],
|
||||||
@@ -147,54 +179,113 @@ export function HistoryModal() {
|
|||||||
}
|
}
|
||||||
}}
|
}}
|
||||||
>
|
>
|
||||||
<div className="modal-content history-modal">
|
{isProLoading ? (
|
||||||
<div className="modal-header">
|
<div
|
||||||
<h2 id="history-modal-title">
|
className="modal-content"
|
||||||
{t("history.title", { city: store.selectedCity?.toUpperCase() || "" })}
|
style={{ padding: "40px", textAlign: "center" }}
|
||||||
</h2>
|
>
|
||||||
<button
|
<div style={{ color: "var(--text-muted)" }}>
|
||||||
type="button"
|
{t("dashboard.loading")}
|
||||||
className="modal-close"
|
|
||||||
aria-label={t("history.closeAria")}
|
|
||||||
onClick={store.closeHistory}
|
|
||||||
>
|
|
||||||
×
|
|
||||||
</button>
|
|
||||||
</div>
|
|
||||||
<div className="modal-body">
|
|
||||||
<div className="history-stats">
|
|
||||||
{isLoading ? (
|
|
||||||
<span style={{ color: "var(--text-muted)" }}>{t("history.loading")}</span>
|
|
||||||
) : error ? (
|
|
||||||
<span style={{ color: "var(--accent-red)" }}>{t("history.error")}</span>
|
|
||||||
) : !summary.recentData.length ? (
|
|
||||||
<span style={{ color: "var(--text-muted)" }}>{t("history.empty")}</span>
|
|
||||||
) : (
|
|
||||||
<>
|
|
||||||
<div className="h-stat-card">
|
|
||||||
<span className="label">{t("history.hitRate")}</span>
|
|
||||||
<span className="val">
|
|
||||||
{summary.hitRate != null ? `${summary.hitRate}%` : "--"}
|
|
||||||
</span>
|
|
||||||
</div>
|
|
||||||
<div className="h-stat-card">
|
|
||||||
<span className="label">{t("history.mae")}</span>
|
|
||||||
<span className="val">
|
|
||||||
{summary.debMae != null ? `${summary.debMae}°` : "--"}
|
|
||||||
</span>
|
|
||||||
</div>
|
|
||||||
<div className="h-stat-card">
|
|
||||||
<span className="label">{t("history.sample")}</span>
|
|
||||||
<span className="val">
|
|
||||||
{t("history.sampleDays", { count: summary.settledCount })}
|
|
||||||
</span>
|
|
||||||
</div>
|
|
||||||
</>
|
|
||||||
)}
|
|
||||||
</div>
|
</div>
|
||||||
{!isLoading && !error && <HistoryChart />}
|
|
||||||
</div>
|
</div>
|
||||||
</div>
|
) : !isPro ? (
|
||||||
|
<ProFeaturePaywall feature="history" onClose={store.closeHistory} />
|
||||||
|
) : (
|
||||||
|
<div className="modal-content history-modal">
|
||||||
|
<div className="modal-header">
|
||||||
|
<h2 id="history-modal-title">
|
||||||
|
{t("history.title", {
|
||||||
|
city: store.selectedCity?.toUpperCase() || "",
|
||||||
|
})}
|
||||||
|
</h2>
|
||||||
|
<button
|
||||||
|
type="button"
|
||||||
|
className="modal-close"
|
||||||
|
aria-label={t("history.closeAria")}
|
||||||
|
onClick={store.closeHistory}
|
||||||
|
>
|
||||||
|
×
|
||||||
|
</button>
|
||||||
|
</div>
|
||||||
|
<div className="modal-body">
|
||||||
|
{isTaipei && (
|
||||||
|
<div
|
||||||
|
style={{
|
||||||
|
marginBottom: "16px",
|
||||||
|
padding: "12px 14px",
|
||||||
|
border: "1px solid rgba(56, 189, 248, 0.24)",
|
||||||
|
borderRadius: "12px",
|
||||||
|
background: "rgba(14, 165, 233, 0.08)",
|
||||||
|
color: "var(--text-secondary)",
|
||||||
|
fontSize: "13px",
|
||||||
|
lineHeight: 1.6,
|
||||||
|
}}
|
||||||
|
>
|
||||||
|
{t("lang") === "en-US"
|
||||||
|
? "Taipei historical actuals are aligned to NOAA RCTP settlement rules: use the highest rounded whole-degree Celsius reading after the date is finalized."
|
||||||
|
: "台北历史对账已按 NOAA RCTP 结算口径对齐:采用该日最终完成质控后的最高整度摄氏值。"}
|
||||||
|
</div>
|
||||||
|
)}
|
||||||
|
<div className="history-stats">
|
||||||
|
{isLoading ? (
|
||||||
|
<span style={{ color: "var(--text-muted)" }}>
|
||||||
|
{t("history.loading")}
|
||||||
|
</span>
|
||||||
|
) : error ? (
|
||||||
|
<span style={{ color: "var(--accent-red)" }}>
|
||||||
|
{t("history.error")}
|
||||||
|
</span>
|
||||||
|
) : !summary.recentData.length ? (
|
||||||
|
<span style={{ color: "var(--text-muted)" }}>
|
||||||
|
{t("history.empty")}
|
||||||
|
</span>
|
||||||
|
) : (
|
||||||
|
<>
|
||||||
|
<div className="h-stat-card">
|
||||||
|
<span className="label">{t("history.debHitRate")}</span>
|
||||||
|
<span className="val">
|
||||||
|
{summary.hitRate != null ? `${summary.hitRate}%` : "--"}
|
||||||
|
</span>
|
||||||
|
</div>
|
||||||
|
<div className="h-stat-card">
|
||||||
|
<span className="label">{t("history.debMae")}</span>
|
||||||
|
<span className="val">
|
||||||
|
{summary.debMae != null ? `${summary.debMae}°` : "--"}
|
||||||
|
</span>
|
||||||
|
</div>
|
||||||
|
<div className="h-stat-card">
|
||||||
|
<span className="label">{t("history.bestModelMae")}</span>
|
||||||
|
<span className="val">
|
||||||
|
{summary.bestModelMae != null
|
||||||
|
? `${summary.bestModelMae}°${
|
||||||
|
summary.bestModelName
|
||||||
|
? ` (${summary.bestModelName})`
|
||||||
|
: ""
|
||||||
|
}`
|
||||||
|
: "--"}
|
||||||
|
</span>
|
||||||
|
</div>
|
||||||
|
<div className="h-stat-card">
|
||||||
|
<span className="label">{t("history.debVsBest")}</span>
|
||||||
|
<span className="val">
|
||||||
|
{summary.debWinRateVsBest != null
|
||||||
|
? `${summary.debWinRateVsBest}% (${summary.debWinDaysVsBest}/${summary.debVsBestComparableDays})`
|
||||||
|
: "--"}
|
||||||
|
</span>
|
||||||
|
</div>
|
||||||
|
<div className="h-stat-card">
|
||||||
|
<span className="label">{t("history.sample")}</span>
|
||||||
|
<span className="val">
|
||||||
|
{t("history.sampleDays", { count: summary.settledCount })}
|
||||||
|
</span>
|
||||||
|
</div>
|
||||||
|
</>
|
||||||
|
)}
|
||||||
|
</div>
|
||||||
|
{!isLoading && !error && <HistoryChart />}
|
||||||
|
</div>
|
||||||
|
</div>
|
||||||
|
)}
|
||||||
</div>
|
</div>
|
||||||
);
|
);
|
||||||
}
|
}
|
||||||
|
|||||||
@@ -1,5 +1,7 @@
|
|||||||
"use client";
|
"use client";
|
||||||
|
|
||||||
|
import "leaflet/dist/leaflet.css";
|
||||||
|
|
||||||
import { useDashboardStore } from "@/hooks/useDashboardStore";
|
import { useDashboardStore } from "@/hooks/useDashboardStore";
|
||||||
import { useLeafletMap } from "@/hooks/useLeafletMap";
|
import { useLeafletMap } from "@/hooks/useLeafletMap";
|
||||||
|
|
||||||
|
|||||||
Some files were not shown because too many files have changed in this diff Show More
Reference in New Issue
Block a user