Switch repository licensing to AGPL-3.0

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parent ee114fb5bf
commit 16404ccf71
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-MIT License
+                    GNU AFFERO GENERAL PUBLIC LICENSE
                       Version 3, 19 November 2007
-Copyright (c) 2026 Yuanzhen Yang (yangyuan-zhen)
+ Copyright (C) 2007 Free Software Foundation, Inc. <https://fsf.org/>
 Everyone is permitted to copy and distribute verbatim copies
 of this license document, but changing it is not allowed.
-Permission is hereby granted, free of charge, to any person obtaining a copy
+                            Preamble
 of this software and associated documentation files (the "Software"), to deal
 in the Software without restriction, including without limitation the rights
 to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
 copies of the Software, and to permit persons to whom the Software is
 furnished to do so, subject to the following conditions:
-The above copyright notice and this permission notice shall be included in all
+  The GNU Affero General Public License is a free, copyleft license for
-copies or substantial portions of the Software.
+software and other kinds of works, specifically designed to ensure
 cooperation with the community in the case of network server software.
-THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+  The licenses for most software and other practical works are designed
-IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+to take away your freedom to share and change the works.  By contrast,
-FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+our General Public Licenses are intended to guarantee your freedom to
-AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+share and change all versions of a program--to make sure it remains free
-LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+software for all its users.
-OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+
-SOFTWARE.
+  When we speak of free software, we are referring to freedom, not
 price.  Our General Public Licenses are designed to make sure that you
 have the freedom to distribute copies of free software (and charge for
 them if you wish), that you receive source code or can get it if you
 want it, that you can change the software or use pieces of it in new
 free programs, and that you know you can do these things.
  Developers that use our General Public Licenses protect your rights
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  A secondary benefit of defending all users' freedom is that
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 receive widespread use, become available for other developers to
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  The GNU Affero General Public License is designed specifically to
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 code of the modified version.
  An older license, called the Affero General Public License and
 published by Affero, was designed to accomplish similar goals.  This is
 a different license, not a version of the Affero GPL, but Affero has
 released a new version of the Affero GPL which permits relicensing under
 this license.
  The precise terms and conditions for copying, distribution and
 modification follow.
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                     END OF TERMS AND CONDITIONS
            How to Apply These Terms to Your New Programs
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 the "copyright" line and a pointer to where the full notice is found.
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    along with this program.  If not, see <https://www.gnu.org/licenses/>.
 Also add information on how to contact you by electronic and paper mail.
  If your software can interact with users remotely through a computer
 network, you should also make sure that it provides a way for users to
 get its source.  For example, if your program is a web application, its
 interface could display a "Source" link that leads users to an archive
 of the code.  There are many ways you could offer source, and different
 solutions will be better for different programs; see section 13 for the
 specific requirements.
  You should also get your employer (if you work as a programmer) or school,
 if any, to sign a "copyright disclaimer" for the program, if necessary.
 For more information on this, and how to apply and follow the GNU AGPL, see
 <https://www.gnu.org/licenses/>.
@@ -3,6 +3,7 @@
 Production weather-intelligence stack for temperature settlement markets.
 Official dashboard: [polyweather-pro.vercel.app](https://polyweather-pro.vercel.app/)
 中文说明: [README_ZH.md](README_ZH.md)
 Public docs center: `/docs/intro` on the main site (bilingual product documentation, including intraday signals, TAF, settlement sources, history, and extension).
@@ -32,14 +33,15 @@ Public docs center: `/docs/intro` on the main site (bilingual product documentat
 - Trade cue now combines upper-air structure, `TAF`, market crowding, and `edge_percent`.
 - Browser extension now uses `DEB` for multi-day forecast and stays positioned as a lightweight lead-in to the main site.
-## Open-Core Boundary (Important)
+## License & Commercial Boundary
-This repository follows an **Open-Core** strategy:
+This repository is licensed under **GNU AGPL-3.0 only** from `2026-03-30` onward.
- Public in repo: weather aggregation, core analysis, dashboard, bot baseline, standard payment flow.
+- Public in repo: weather aggregation, core analysis, dashboard, bot baseline, and standard payment flow.
- Private in production: commercial risk rules, operational thresholds, pricing strategy details, internal reconciliation policies, and growth operations tooling.
+- Not included in this repository: private production data, internal operating thresholds, commercial risk rules, pricing strategy details, and growth tooling.
 - Trademark, brand, domain, production databases, and hosted-service operations are **not** granted by the code license.
-See: [Open-Core & Commercial Boundary](docs/OPEN_CORE_POLICY.md)
+See: [AGPL-3.0 & Commercial Boundary](docs/OPEN_CORE_POLICY.md)
 ## Core Capabilities
@@ -168,7 +170,7 @@ docker compose logs -f polyweather | egrep "polymarket wallet activity watcher s
 - Chinese API guide: [docs/API_ZH.md](docs/API_ZH.md)
 - TAF signal guide (ZH): [docs/TAF_SIGNAL_ZH.md](docs/TAF_SIGNAL_ZH.md)
 - Commercialization: [docs/COMMERCIALIZATION.md](docs/COMMERCIALIZATION.md)
- Open-Core policy: [docs/OPEN_CORE_POLICY.md](docs/OPEN_CORE_POLICY.md)
+- AGPL-3.0 policy: [docs/OPEN_CORE_POLICY.md](docs/OPEN_CORE_POLICY.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)
 - LightGBM daily-high model (ZH): [docs/LGBM_DAILY_HIGH_ZH.md](docs/LGBM_DAILY_HIGH_ZH.md)
@@ -26,14 +26,15 @@
 - 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`。
-## 开源边界（重要）
+## 许可证与商用边界（重要）
-本项目采用 **Open-Core** 策略：
+本仓库自 `2026-03-30` 起采用 **GNU AGPL-3.0-only**。
- 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。
+- 仓库公开部分：天气聚合、基础分析、前端看板、Bot 基础能力、标准支付流程。
- 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。
+- 不包含在仓库中的部分：生产私有数据、商业风控规则、运营阈值、收费策略细节、内部对账与增长工具。
 - 商标、品牌、域名、生产数据库与托管服务运营能力，不因代码许可证一并授权。
-详细见：[Open-Core 与商用边界](docs/OPEN_CORE_POLICY.md)
+详细见：[AGPL-3.0 与商用边界](docs/OPEN_CORE_POLICY.md)
 ## 核心能力
@@ -158,7 +159,7 @@ docker compose logs -f polyweather | egrep "polymarket wallet activity watcher s
 - 英文总览：[README.md](README.md)
 - API 文档（中文）：[docs/API_ZH.md](docs/API_ZH.md)
 - 商业化说明：[docs/COMMERCIALIZATION.md](docs/COMMERCIALIZATION.md)
- Open-Core 边界：[docs/OPEN_CORE_POLICY.md](docs/OPEN_CORE_POLICY.md)
+- AGPL-3.0 边界：[docs/OPEN_CORE_POLICY.md](docs/OPEN_CORE_POLICY.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)
@@ -1,4 +1,4 @@
-// SPDX-License-Identifier: MIT
+// SPDX-License-Identifier: AGPL-3.0-only
 pragma solidity ^0.8.24;
 interface IERC20 {
@@ -1,4 +1,4 @@
-// SPDX-License-Identifier: MIT
+// SPDX-License-Identifier: AGPL-3.0-only
 pragma solidity ^0.8.24;
 interface IERC20 {
@@ -235,8 +235,8 @@ curl -s http://127.0.0.1:8000/api/system/status | python3 -m json.tool
 docker compose logs -f polyweather | egrep "payment event loop started|payment confirm loop started|payment auto-confirmed"
 ```
-## 10. 开源口径说明
+## 10. AGPL 与公开口径说明
-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。
+本仓库代码自 `2026-03-30` 起采用 `AGPL-3.0-only`。对外公开文档仅覆盖通用 API 契约；生产商业策略参数、私有运营阈值与托管服务能力不在公开文档披露。
-详见：[Open-Core 与商用边界](OPEN_CORE_POLICY.md)
+详见：[AGPL-3.0 与商用边界](OPEN_CORE_POLICY.md)
@@ -41,14 +41,14 @@ PolyWeather 是面向温度结算场景的气象决策层，不是通用天气
 > 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。
-## 5. 建议的开源边界
+## 5. 许可证与商用边界
-请按 Open-Core 执行：
+当前仓库代码采用 `AGPL-3.0-only`：
- 开源：基础能力与通用支付流程。
+- 公开：基础能力与通用支付流程源码。
- 私有：商业风控、营销策略、关键运营参数、内部审计策略。
+- 不随代码许可证授权：商业风控、营销策略、关键运营参数、内部审计策略、品牌与托管服务资产。
-详见：[Open-Core 与商用边界](OPEN_CORE_POLICY.md)
+详见：[AGPL-3.0 与商用边界](OPEN_CORE_POLICY.md)
 ## 6. 上线检查清单（收费前）
@@ -1,63 +1,45 @@
-# Open-Core 与商用边界
+# AGPL-3.0 与商用边界
-最后更新：`2026-03-14`
+最后更新：`2026-03-30`
-## 1. 目标
+## 1. 当前许可证
-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。
+- 本仓库代码自 `2026-03-30` 起采用 **GNU Affero General Public License v3.0 only**（`AGPL-3.0-only`）。
 - 该许可证适用于仓库中未另行声明许可证的源代码与文档。
 - 如果你修改本项目并通过网络向用户提供服务，需按 AGPL 第 13 条向用户提供对应源码。
-## 2. 仓库公开范围（可开源）
+## 2. 旧版本说明
- 天气数据采集与标准化（METAR / Open-Meteo / MGM 接口层）。
+- 在本次切换前已经发布的 MIT 版本，仍按其原始许可证生效。
- DEB 与基础趋势分析、概率桶计算。
+- 本次变更不会追溯撤销既往已发布版本的 MIT 授权。
 - 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）
+## 3. 仓库公开范围
- 商业风控参数与规则库：
+- 天气数据采集与标准化（METAR / Open-Meteo / MGM / 官方结算源接口层）。
-  - 错价信号阈值组合、推送阈值、异常检测策略。
+- DEB、基础趋势分析、概率桶、历史对账、前端看板与 Bot 基础能力。
- 运营策略资产：
+- 标准支付流程、链上收款合约与公开 API/BFF 结构。
  - 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
+## 4. 不在仓库许可证授权范围内的资产
- 不提交：`.env`、私钥、API key、机器人 token。
+- 商标、品牌名、域名、Logo、商店素材与市场宣传文案。
- 不提交：生产数据库、运行时状态文件、支付流水快照。
+- 生产数据库、用户资料、钱包映射、订阅审计日志、内部报表。
- 不提交：用户身份信息、钱包映射、订阅原始审计日志。
+- 私有运营脚本、增长工具、内部风控参数、收费策略细节与内部阈值。
 - 托管服务本身、SLA、客服、运维值守与内部告警路由。
-## 5. 推荐发布模式
+## 5. 配置与数据安全红线
-### 5.1 Community Edition（开源）
+- 不提交：`.env`、私钥、API key、机器人 token、第三方 service role key。
 - 不提交：生产数据库、运行态快照、支付流水快照、用户身份信息。
 - 不提交：仅用于线上商业判断的私有规则库与内部操作手册。
- 提供基础分析与基础看板。
+## 6. 对部署者的要求
 - 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）
+- 若你提供公开网络服务，应在产品界面中提供清晰可访问的源码入口。
 - 若你修改了本项目再对外提供网络服务，应公开与你实际运行版本对应的源码。
 - 若你使用了仓库外的私有数据、商标或运营资产，这些额外资产不因 AGPL 自动获得授权。
- 启用收费、订阅、积分抵扣、风控、私有监控。
+## 7. 法务与运营建议
 - 仅在私有仓库维护运营策略与敏感参数。
-## 6. 文档口径规范
+- 代码许可证与商标/品牌授权应继续分离管理。
-
+- 官网应补充服务条款、隐私政策与付费权益说明。
-对外文档仅描述：
+- 若后续接受外部贡献，再次调整许可证前应先确认贡献者版权归属与再许可条件。
 - 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。
@@ -2,7 +2,7 @@
 ## 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。
+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 现明确仓库代码采用 `AGPL-3.0-only`，同时将品牌、商标、生产私有数据与运营阈值保留在代码许可证之外。
 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。
@@ -18,7 +18,7 @@ DEB（Dynamic Error Balancing）基于过去 N 天模型误差（MAE）倒数加
 **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。
+**许可证**：仓库根目录 `LICENSE` 当前为 `AGPL-3.0-only`。同时 README 与策略文档明确：品牌、商标、生产私有数据与运营策略不随代码许可证一并授权。
 （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） 
 ![PolyWeather demo map](https://raw.githubusercontent.com/yangyuan-zhen/PolyWeather/main/docs/images/demo_map.png)
@@ -147,7 +147,7 @@ Web/Telegram 请求 → FastAPI 调用采集器抓取/复用缓存 → 分析引
 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。
+**许可证/商业使用的潜在冲突点**：仓库自身现为 `AGPL-3.0-only`，但如果未来尝试引入外部 AI 预报模型，仍需单独核验第三方代码与权重的商用条件：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：
@@ -158,7 +158,7 @@ Web/Telegram 请求 → FastAPI 调用采集器抓取/复用缓存 → 分析引
 | 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）。 |
+| **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 `AGPL-3.0-only`；品牌、生产私有数据与运营规则不随代码许可证授权。 |
 | **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。 |
@@ -244,7 +244,7 @@ PolyWeather 的评测应围绕“结算场景”而非传统数值天气预报
 **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。
+**代码公开与生产私有资产边界导致的“公开仓库与生产行为不一致”**：README 明确品牌、商标、生产私有数据与运营阈值不在代码许可证授权范围内。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
@@ -170,10 +170,10 @@ Ops：
 - `summary?force_refresh=true`：`no-store`
 - 支付相关路由：`no-store`
-## 开源边界说明
+## AGPL 与商用边界说明
-此前端仓库包含通用产品界面和标准支付体验。
+此前端代码随仓库一起采用 `AGPL-3.0-only`。
-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。
+生产私有运营流程、商业策略调优、敏感生产参数、品牌与托管服务能力不在代码许可证授权范围内。
 详见根目录策略文档：`docs/OPEN_CORE_POLICY.md`
@@ -4,20 +4,13 @@ import json
 import os
 import sys
 from datetime import datetime
-from typing import Any, Dict, List
+from typing import TYPE_CHECKING, Any, Dict, List
 ROOT_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
 if ROOT_DIR not in sys.path:
    sys.path.insert(0, ROOT_DIR)
-import lightgbm as lgb
+if TYPE_CHECKING:
-import numpy as np
+    import lightgbm as lgb
-
+    import numpy as np
 from src.models.lgbm_features import (
    FEATURE_NAMES,
    build_training_samples,
    schema_payload,
 )
 MODEL_PATH = os.path.join(ROOT_DIR, "artifacts", "models", "lgbm_daily_high.txt")
@@ -58,15 +51,21 @@ def _chronological_split(samples: List[Dict[str, Any]]) -> tuple[List[Dict[str,
    return ordered[:-validation_count], ordered[-validation_count:]
-def _dataset_from_samples(samples: List[Dict[str, Any]]) -> tuple[np.ndarray, np.ndarray]:
+def _dataset_from_samples(samples: List[Dict[str, Any]], np: Any) -> tuple[Any, Any]:
    features = np.asarray([row["vector"] for row in samples], dtype=np.float32)
    targets = np.asarray([row["target"] for row in samples], dtype=np.float32)
    return features, targets
-def _train_model(train_samples: List[Dict[str, Any]], valid_samples: List[Dict[str, Any]]) -> lgb.Booster:
+def _train_model(
-    train_x, train_y = _dataset_from_samples(train_samples)
+    train_samples: List[Dict[str, Any]],
-    train_data = lgb.Dataset(train_x, label=train_y, feature_name=FEATURE_NAMES, free_raw_data=True)
+    valid_samples: List[Dict[str, Any]],
    lgb: Any,
    np: Any,
    feature_names: List[str],
 ) -> Any:
    train_x, train_y = _dataset_from_samples(train_samples, np)
    train_data = lgb.Dataset(train_x, label=train_y, feature_name=feature_names, free_raw_data=True)
    valid_sets = [train_data]
    valid_names = ["train"]
@@ -85,8 +84,8 @@ def _train_model(train_samples: List[Dict[str, Any]], valid_samples: List[Dict[s
    callbacks = []
    if valid_samples:
-        valid_x, valid_y = _dataset_from_samples(valid_samples)
+        valid_x, valid_y = _dataset_from_samples(valid_samples, np)
-        valid_data = lgb.Dataset(valid_x, label=valid_y, feature_name=FEATURE_NAMES, reference=train_data)
+        valid_data = lgb.Dataset(valid_x, label=valid_y, feature_name=feature_names, reference=train_data)
        valid_sets.append(valid_data)
        valid_names.append("valid")
        callbacks.append(lgb.early_stopping(stopping_rounds=15, verbose=False))
@@ -101,7 +100,7 @@ def _train_model(train_samples: List[Dict[str, Any]], valid_samples: List[Dict[s
    )
-def _evaluate(booster: lgb.Booster, samples: List[Dict[str, Any]]) -> Dict[str, Any]:
+def _evaluate(booster: Any, samples: List[Dict[str, Any]], np: Any) -> Dict[str, Any]:
    if not samples:
        return {
            "sample_count": 0,
@@ -111,7 +110,7 @@ def _evaluate(booster: lgb.Booster, samples: List[Dict[str, Any]]) -> Dict[str,
            "median_mae": None,
        }
-    features, _ = _dataset_from_samples(samples)
+    features, _ = _dataset_from_samples(samples, np)
    preds = booster.predict(features, num_iteration=booster.best_iteration)
    lgbm_pairs: List[tuple[float, float]] = []
    deb_pairs: List[tuple[float, float]] = []
@@ -144,14 +143,25 @@ def _evaluate(booster: lgb.Booster, samples: List[Dict[str, Any]]) -> Dict[str,
 def main() -> int:
    if ROOT_DIR not in sys.path:
        sys.path.insert(0, ROOT_DIR)
    import lightgbm as lgb
    import numpy as np
    from src.models.lgbm_features import (
        FEATURE_NAMES,
        build_training_samples,
        schema_payload,
    )
    samples = build_training_samples()
    if len(samples) < 16:
        raise SystemExit(f"Not enough supervised samples for LightGBM training: {len(samples)}")
    train_samples, valid_samples = _chronological_split(samples)
-    booster = _train_model(train_samples, valid_samples)
+    booster = _train_model(train_samples, valid_samples, lgb, np, FEATURE_NAMES)
-    all_features, all_targets = _dataset_from_samples(samples)
+    all_features, all_targets = _dataset_from_samples(samples, np)
    final_train = lgb.Dataset(all_features, label=all_targets, feature_name=FEATURE_NAMES, free_raw_data=True)
    final_booster = lgb.train(
        params={
@@ -174,8 +184,8 @@ def main() -> int:
    final_booster.save_model(MODEL_PATH)
    metrics = {
-        "validation": _evaluate(booster, valid_samples),
+        "validation": _evaluate(booster, valid_samples, np),
-        "full_sample": _evaluate(final_booster, samples),
+        "full_sample": _evaluate(final_booster, samples, np),
    }
    schema = schema_payload(
        model_path=os.path.relpath(MODEL_PATH, ROOT_DIR),