feat: Add Docker support, GitHub Actions CI, and an MIT License, updating READMEs with deployment instructions and badges.
This commit is contained in:
2569718930@qq.com
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name: Python application CI
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on:
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push:
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branches: ["main"]
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pull_request:
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branches: ["main"]
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jobs:
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lint:
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v4
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- name: Set up Python 3.11
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uses: actions/setup-python@v5
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with:
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python-version: "3.11"
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cache: "pip"
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- name: Install dependencies
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run: |
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python -m pip install --upgrade pip
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pip install ruff
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# 如果需要测试，也可以考虑在这里安装 requirements.txt: pip install -r requirements.txt
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- name: Lint with Ruff
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run: |
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# 检查代码错误 (如未定义变量, 未使用引入等)
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# --output-format=github 可以在 PR 中直接以 annotations 的形式显示错误
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ruff check . --output-format=github
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- name: Check code formatting with Ruff
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run: |
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# 检查代码格式是否规范 (如果不规范，Actions 会提示报错)
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ruff format --check .
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+24
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FROM python:3.11-slim
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# 设置工作目录
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WORKDIR /app
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# 设置环境变量
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ENV PYTHONDONTWRITEBYTECODE=1 \
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PYTHONUNBUFFERED=1 \
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TZ=UTC
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# 安装系统依赖 (如果有必要的包可以取消注释)
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# RUN apt-get update && apt-get install -y --no-install-recommends gcc && rm -rf /var/lib/apt/lists/*
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# 复制 requirements 文件
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COPY requirements.txt .
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# 安装 Python 依赖
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RUN pip install --no-cache-dir -r requirements.txt
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# 复制项目代码
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COPY . .
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# 启动机器人
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CMD ["python", "bot_listener.py"]
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MIT License
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Copyright (c) 2026 Yuanzhen Yang (yangyuan-zhen)
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.
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@@ -1,7 +1,9 @@
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# 🌡️ PolyWeather: Intelligent Weather Quant Analysis Bot
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[](https://github.com/yangyuan-zhen/PolyWeather/actions/workflows/python-app.yml)
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[](https://www.python.org/downloads/)
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[](https://opensource.org/licenses/MIT)
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[](https://deepwiki.com/yangyuan-zhen/PolyWeather)
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PolyWeather is a weather analysis tool built for prediction markets like **Polymarket**. It aggregates multi-source forecasts, real-time airport METAR observations, a math-based probability engine, and AI-driven decision support to help users evaluate weather trading risks more scientifically.
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<p align="center">
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@@ -74,15 +76,35 @@ Feeds all weather data into LLaMA 70B, analyzed via a **P1→P4 Priority Chain**
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### Requirements
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- **Python 3.11+**
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- Install dependencies: `pip install -r requirements.txt`
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- **Environment Variables**: Set `TELEGRAM_BOT_TOKEN` and `GROQ_API_KEY` in your `.env` file.
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- **Python 3.11+** or **Docker & Docker Compose**
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- **Environment Variables**: Set parameters in your `.env` file (copy from `.env.example`).
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### VPS Quick Deployment
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### 🐳 Docker Deployment (Recommended)
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1. Clone the repository and install dependencies.
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The easiest and most stable way to deploy without system dependency conflicts.
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1. **Clone and configure**
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```bash
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git clone https://github.com/yangyuan-zhen/PolyWeather.git
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cd PolyWeather
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cp .env.example .env
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# Edit .env to add TELEGRAM_BOT_TOKEN, GROQ_API_KEY, etc.
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nano .env
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```
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2. **Start the service in the background**
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```bash
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docker-compose up -d --build
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```
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3. **View live logs**
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```bash
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docker-compose logs -f
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```
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### 💻 Traditional VPS Deployment
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1. Install dependencies: `pip install -r requirements.txt`
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2. Configure your `.env` file.
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3. Use the following script for one-click updates and restarts:
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3. Use the following script for one-click updates and restarts (for `nohup` background run):
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```bash
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cat > ~/update.sh << 'EOF'
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+29
-7
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# 🌡️ PolyWeather: 智能天气量化分析机器人
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[](https://github.com/yangyuan-zhen/PolyWeather/actions/workflows/python-app.yml)
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[](https://www.python.org/downloads/)
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[](https://opensource.org/licenses/MIT)
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[](https://deepwiki.com/yangyuan-zhen/PolyWeather)
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PolyWeather 是一款专为 **Polymarket** 等预测市场打造的天气分析工具。它通过聚合多源气象预报、实时机场 METAR 观测，并引入数学概率模型与 AI 决策支持，帮助用户更科学地评估天气博弈风险。
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<p align="center">
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@@ -74,15 +76,35 @@ PolyWeather 是一款专为 **Polymarket** 等预测市场打造的天气分析
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### 环境要求
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- **Python 3.11+**
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- 依赖安装: `pip install -r requirements.txt`
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- **环境变量**: 在 `.env` 中设置 `TELEGRAM_BOT_TOKEN` 和 `GROQ_API_KEY`。
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- **Python 3.11+** 或 **Docker & Docker Compose**
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- **环境变量**: 在 `.env` 中设置关键参数（参考 `.env.example`）。
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### VPS 快捷部署
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### 🐳 Docker 推荐部署 (推荐)
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1. 克隆仓库并安装依赖。
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最简单、稳定的部署方式，避免系统依赖冲突。
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1. **克隆项目并配置环境**
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```bash
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git clone https://github.com/yangyuan-zhen/PolyWeather.git
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cd PolyWeather
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cp .env.example .env
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# 编辑 .env 文件填入 TELEGRAM_BOT_TOKEN 和 GROQ_API_KEY 等
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nano .env
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```
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2. **后台一键启动服务**
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```bash
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docker-compose up -d --build
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```
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3. **查看实时日志**
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```bash
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docker-compose logs -f
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```
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### 💻 传统 VPS 部署方案
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1. 安装依赖: `pip install -r requirements.txt`
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2. 配置 `.env` 文件。
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3. 使用以下脚本实现一键更新与重启：
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3. 使用以下脚本实现一键更新与重启（仅适用于后台 `nohup` 运行）：
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```bash
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cat > ~/update.sh << 'EOF'
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@@ -0,0 +1,13 @@
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version: "3.8"
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services:
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polyweather:
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build: .
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container_name: polyweather_bot
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restart: unless-stopped
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env_file:
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- .env
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volumes:
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- ./data:/app/data # 挂载数据目录，确保历史数据持久化
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- ./bot.log:/app/bot.log # 挂载日志文件
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user: "${UID:-1000}:${GID:-1000}"
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