feat: Introduce core API routes for city data, history, authentication, and payments, along with a new frontend dashboard utility file.

This commit is contained in:
2569718930@qq.com
2026-03-24 00:04:24 +08:00
parent 578e50b2da
commit 5e83a5cca3
2 changed files with 52 additions and 11 deletions
+12 -8
View File
@@ -1339,19 +1339,23 @@ export function getHistorySummary(
? row.date < cityLocalDate
: row.date < new Date().toISOString().slice(0, 10);
});
const comparableSettledData = settledData.filter((row) => {
const actual = toFinite(row.actual);
const deb = toFinite(row.deb);
return actual != null && deb != null;
});
let hits = 0;
const debErrors: number[] = [];
const modelErrors: Record<string, number[]> = {};
settledData.forEach((row) => {
comparableSettledData.forEach((row) => {
const actual = toFinite(row.actual);
const deb = toFinite(row.deb);
if (actual != null && deb != null) {
debErrors.push(Math.abs(actual - deb));
if (wuRound(actual) === wuRound(deb)) {
hits += 1;
}
if (actual == null || deb == null) return;
debErrors.push(Math.abs(actual - deb));
if (wuRound(actual) === wuRound(deb)) {
hits += 1;
}
const forecasts = row.forecasts || {};
@@ -1389,7 +1393,7 @@ export function getHistorySummary(
let debWinDaysVsBest = 0;
let debVsBestComparableDays = 0;
if (bestModelName) {
settledData.forEach((row) => {
comparableSettledData.forEach((row) => {
const actual = toFinite(row.actual);
const deb = toFinite(row.deb);
const bestModelVal = toFinite(row.forecasts?.[bestModelName]);
@@ -1430,7 +1434,7 @@ export function getHistorySummary(
: null,
mgms: recentData.map((row) => row.mgm ?? null),
recentData,
settledCount: settledData.length,
settledCount: comparableSettledData.length,
actuals: recentData.map((row) => row.actual),
};
}
+40 -3
View File
@@ -1,5 +1,6 @@
from __future__ import annotations
import json
import os
from datetime import datetime, timedelta
from typing import Optional
@@ -48,6 +49,29 @@ from web.core import (
router = APIRouter()
_SETTLEMENT_HISTORY_CACHE: Optional[dict] = None
def _load_settlement_history() -> dict:
global _SETTLEMENT_HISTORY_CACHE
if _SETTLEMENT_HISTORY_CACHE is not None:
return _SETTLEMENT_HISTORY_CACHE
project_root = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
history_path = os.path.join(
project_root,
"artifacts",
"probability_calibration",
"settlement_history.json",
)
try:
with open(history_path, "r", encoding="utf-8") as handle:
payload = json.load(handle)
_SETTLEMENT_HISTORY_CACHE = payload if isinstance(payload, dict) else {}
except Exception:
_SETTLEMENT_HISTORY_CACHE = {}
return _SETTLEMENT_HISTORY_CACHE
def _parse_snapshot_dt(value: object) -> Optional[datetime]:
raw = str(value or "").strip()
@@ -198,8 +222,11 @@ async def city_history(request: Request, name: str):
project_root = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
history_file = os.path.join(project_root, "data", "daily_records.json")
data = load_history(history_file)
settlement_history = _load_settlement_history()
settlement_city_data = settlement_history.get(city, {})
if city not in data:
city_data = data.get(city, {}) if isinstance(data.get(city, {}), dict) else {}
if not city_data and not isinstance(settlement_city_data, dict):
source = str(CITIES.get(city, {}).get("settlement_source") or "metar").strip().lower()
return {
"history": [],
@@ -207,10 +234,20 @@ async def city_history(request: Request, name: str):
"settlement_source_label": SETTLEMENT_SOURCE_LABELS.get(source, source.upper()),
}
city_data = data[city]
settlement_city_data = settlement_city_data if isinstance(settlement_city_data, dict) else {}
out = []
for day, rec in sorted(city_data.items()):
all_days = sorted(set(city_data.keys()) | set(settlement_city_data.keys()))
for day in all_days:
rec = city_data.get(day, {})
if not isinstance(rec, dict):
rec = {}
settlement_rec = settlement_city_data.get(day, {})
if not isinstance(settlement_rec, dict):
settlement_rec = {}
act = rec.get("actual_high")
if act is None:
act = settlement_rec.get("max_temp")
deb = rec.get("deb_prediction")
mu = rec.get("mu")
snapshots = load_snapshot_rows_for_day(city, day)