feat: 初始化 AgricultureQA 农技智能问答应用
- 搭建基于 Qwen3.5 的 Streamlit 农业技术知识问答应用 - 支持思维链推理展示与模型参数调节 - 新增项目核心文件:app.py、config.py、main.py - 新增工程化配置:pyproject.toml、justfile、Dockerfile、.gitignore - 完善 README 文档,包含快速开始、部署说明及项目结构
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26
.gitignore
vendored
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.gitignore
vendored
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# Python
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__pycache__/
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*.py[cod]
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*.egg-info/
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dist/
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build/
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# Virtual environment
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.venv/
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# IDE
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.idea/
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.vscode/
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*.swp
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*.swo
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# Streamlit
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.streamlit_cache/
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# Ruff
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.ruff_cache/
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# OS
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.DS_Store
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Thumbs.db
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/.doc/
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Dockerfile
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Dockerfile
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# 使用 uv 官方镜像作为基础镜像(已包含 Python 3.14 和 uv)
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FROM 172.16.102.3:30648/astral-sh/uv:python3.14-bookworm
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# 设置工作目录
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WORKDIR /app
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# 配置 apt 使用阿里云镜像源
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RUN sed -i 's/httpredir.debian.org/mirrors.aliyun.com/g' /etc/apt/sources.list.d/debian.sources
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# 安装系统依赖
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RUN apt-get update && apt-get install -y --no-install-recommends \
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curl \
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&& rm -rf /var/lib/apt/lists/*
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# 复制项目配置文件和锁定文件
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COPY pyproject.toml justfile uv.lock ./
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# 配置 uv 使用阿里云镜像源(通过环境变量)
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ENV UV_INDEX_URL=https://mirrors.aliyun.com/pypi/simple/ \
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UV_HTTP_TIMEOUT=120
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# 安装 Python 依赖(使用 uv,锁定版本)
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RUN uv sync --frozen --no-dev
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# 复制应用代码和其他文件
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COPY . .
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# 暴露端口
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EXPOSE 8001
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# 设置环境变量
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ENV STREAMLIT_SERVER_PORT=8001 \
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STREAMLIT_SERVER_ADDRESS=0.0.0.0 \
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STREAMLIT_SERVER_ENABLE_XSRF_PROTECTION=false \
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STREAMLIT_SERVER_ENABLE_CORS=false \
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STREAMLIT_SERVER_HEADLESS=true \
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STREAMLIT_BROWSER_GATHER_USAGE_STATS=false
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# 健康检查
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HEALTHCHECK --interval=30s --timeout=3s --start-period=5s --retries=3 \
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CMD curl -f http://localhost:8001/_stcore/health || exit 1
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# 运行 Streamlit 应用
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CMD ["uv", "run", "streamlit", "run", "app.py", "--server.port=8001", "--server.address=0.0.0.0"]
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88
README.md
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README.md
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# agriculture-qa
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# AgricultureQA 农技智能问答
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农技智能问答
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基于 Qwen3.5 大模型的农业技术知识问答应用,支持思维链推理。
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## 功能特性
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- 🌾 农业技术知识智能问答
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- 🧠 支持思维链推理,展示深度思考过程
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- ⚙️ 可调模型参数(Temperature、Top P)
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- 💡 快捷提问按钮,一键常见农业问题
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## 技术栈
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- Python 3.14+
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- Streamlit 1.52.1
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- httpx 0.28.1
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## 快速开始
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### 使用 uv(推荐)
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```bash
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# 安装依赖
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uv sync
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# 运行应用
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uv run streamlit run app.py
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```
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### 使用传统方式
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```bash
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# 创建虚拟环境
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python -m venv .venv
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source .venv/bin/activate
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# 安装依赖
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pip install -r requirements.txt
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# 运行应用
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streamlit run app.py
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```
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## 项目结构
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```
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AgricultureQA/
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├── app.py # 主应用文件(Streamlit)
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├── config.py # API 配置
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├── main.py # 入口文件
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├── pyproject.toml # 项目配置
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├── justfile # 任务自动化
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├── Dockerfile # Docker 配置
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└── README.md # 项目文档
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```
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## 使用 just
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项目使用 justfile 进行任务管理:
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```bash
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# 查看所有可用命令
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just --list
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# 运行应用
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just run
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# 代码格式化
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just format
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# 代码检查
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just check
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```
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## Docker 部署
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```bash
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# 构建镜像
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docker build -t agriculture-qa .
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# 运行容器
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docker run -p 8001:8001 agriculture-qa
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```
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## 许可证
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MIT License
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265
app.py
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app.py
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"""
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农技智能问答
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基于 Qwen3.5 大模型的农业技术知识问答应用
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"""
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import httpx
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import streamlit as st
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from config import CHAT_API_URL, CHAT_MODEL, HEADERS
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# ─── Page Config ────────────────────────────────────────────────────────────
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st.set_page_config(
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page_title="农技智能问答",
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page_icon="🌾",
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layout="wide",
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initial_sidebar_state="expanded",
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)
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# ─── Custom CSS ──────────────────────────────────────────────────────────────
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st.markdown("""
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<style>
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:root {
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--bg-dark: #0a1628;
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--bg-card: #0f2040;
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--accent-green: #4ade80;
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--accent-gold: #f59e0b;
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--accent-blue: #38bdf8;
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--text-primary: #e2e8f0;
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--text-muted: #64748b;
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--border: rgba(74, 222, 128, 0.2);
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}
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html, body, [class*="css"] {
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font-family: "PingFang SC", "Microsoft YaHei", "Noto Serif SC", serif;
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background-color: var(--bg-dark);
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color: var(--text-primary);
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}
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.stApp {
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background: linear-gradient(135deg, #0a1628 0%, #0d1f3c 50%, #091520 100%);
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}
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/* Sidebar */
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[data-testid="stSidebar"] {
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background: linear-gradient(180deg, #0f2040 0%, #0a1628 100%);
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border-right: 1px solid var(--border);
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}
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[data-testid="stSidebar"] .stSlider label,
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[data-testid="stSidebar"] .stCheckbox label {
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color: var(--accent-green) !important;
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font-size: 0.82rem;
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font-family: "JetBrains Mono", "Fira Code", "Source Code Pro", monospace;
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letter-spacing: 0.05em;
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}
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/* Section headers */
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.section-header {
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font-size: 0.75rem;
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font-family: "JetBrains Mono", "Fira Code", "Source Code Pro", monospace;
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letter-spacing: 0.15em;
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color: var(--accent-gold);
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text-transform: uppercase;
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border-bottom: 1px solid rgba(245,158,11,0.3);
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padding-bottom: 6px;
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margin-bottom: 16px;
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margin-top: 24px;
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}
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/* Hero title */
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.hero-title {
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font-size: 2rem;
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font-weight: 700;
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background: linear-gradient(135deg, var(--accent-green), var(--accent-blue));
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-webkit-background-clip: text;
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-webkit-text-fill-color: transparent;
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background-clip: text;
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line-height: 1.2;
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}
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.hero-sub {
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font-family: "JetBrains Mono", "Fira Code", "Source Code Pro", monospace;
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font-size: 0.8rem;
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color: var(--text-muted);
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letter-spacing: 0.1em;
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margin-top: 4px;
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}
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/* Answer card */
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.answer-card {
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background: linear-gradient(135deg, #0f2040, #132b55);
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border: 1px solid var(--border);
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border-radius: 12px;
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padding: 24px;
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margin: 16px 0;
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line-height: 1.8;
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}
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.answer-card h3 {
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color: var(--accent-green);
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font-family: "JetBrains Mono", "Fira Code", "Source Code Pro", monospace;
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font-size: 0.85rem;
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letter-spacing: 0.08em;
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margin-bottom: 12px;
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}
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/* Thinking card */
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.thinking-card {
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background: rgba(56, 189, 248, 0.05);
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border: 1px solid rgba(56, 189, 248, 0.2);
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border-radius: 10px;
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padding: 18px;
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margin: 12px 0;
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}
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/* Token usage */
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.token-usage {
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font-family: "JetBrains Mono", "Fira Code", "Source Code Pro", monospace;
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font-size: 0.78rem;
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color: var(--text-muted);
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background: rgba(255,255,255,0.03);
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border-radius: 6px;
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padding: 8px 14px;
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margin-top: 12px;
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display: inline-block;
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}
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/* Quick question buttons */
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[data-testid="stSidebar"] button[kind="secondary"] {
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background: rgba(74,222,128,0.08);
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border: 1px solid rgba(74,222,128,0.2);
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color: var(--text-primary);
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font-size: 0.82rem;
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text-align: left;
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white-space: normal;
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line-height: 1.4;
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transition: all 0.2s ease;
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}
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[data-testid="stSidebar"] button[kind="secondary"]:hover {
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background: rgba(74,222,128,0.15);
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border-color: rgba(74,222,128,0.4);
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}
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/* Override streamlit slider colors */
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.stSlider [data-baseweb="slider"] [data-testid="stTickBarMin"],
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.stSlider [data-baseweb="slider"] [data-testid="stTickBarMax"] {
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color: var(--text-muted);
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}
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/* Alert boxes */
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.alert-error {
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background: rgba(239,68,68,0.1);
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border-left: 3px solid #ef4444;
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border-radius: 0 8px 8px 0;
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padding: 12px 16px;
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margin: 8px 0;
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font-size: 0.9rem;
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}
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</style>
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""", unsafe_allow_html=True)
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# ─── Quick Questions ─────────────────────────────────────────────────────────
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QUICK_QUESTIONS = [
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"水稻稻瘟病怎么防治?什么时候打药效果最好?",
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"小麦叶片上出现铁锈色的粉状物是什么病?怎么处理?",
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"如何判断玉米是否需要灌溉?有哪些判断方法?",
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"如何种榴莲?怎样成熟快?",
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]
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# ─── Sidebar ─────────────────────────────────────────────────────────────────
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with st.sidebar:
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st.markdown('<div class="hero-title">🌾 农技问答</div>', unsafe_allow_html=True)
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st.markdown('<div class="hero-sub">AGRICULTURE QA SYSTEM v1.0</div>', unsafe_allow_html=True)
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st.markdown("---")
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st.markdown('<div class="section-header">⚙️ 模型参数</div>', unsafe_allow_html=True)
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temperature = st.slider("Temperature", 0.0, 1.0, 0.7, 0.1)
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top_p = st.slider("Top P", 0.0, 1.0, 0.8, 0.1)
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enable_thinking = st.checkbox("开启思维链", value=True)
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st.markdown('<div class="section-header">💡 快捷提问</div>', unsafe_allow_html=True)
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for q in QUICK_QUESTIONS:
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if st.button(q, key=q):
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st.session_state.user_input = q
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# ─── Main Layout ─────────────────────────────────────────────────────────────
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st.markdown("""
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<div style="display:flex; align-items:baseline; gap:16px; margin-bottom:4px;">
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<div class="hero-title">农技智能问答</div>
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</div>
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<div class="hero-sub">Powered by Qwen3.5 | 支持思维链推理的农业技术知识问答</div>
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""", unsafe_allow_html=True)
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st.markdown("<br>", unsafe_allow_html=True)
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# 输入区域
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user_input = st.text_area(
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"请输入您的农业问题:",
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value=st.session_state.get("user_input", ""),
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height=120,
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placeholder="例如:水稻稻瘟病怎么防治?",
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)
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if st.button("提交", type="primary") and user_input.strip():
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with st.spinner("模型正在思考中..."):
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try:
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payload = {
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||||||
|
"model": CHAT_MODEL,
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"messages": [{"role": "user", "content": user_input.strip()}],
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"temperature": temperature,
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||||||
|
"top_p": top_p,
|
||||||
|
"presence_penalty": 1.5,
|
||||||
|
"chat_template_kwargs": {"enable_thinking": enable_thinking},
|
||||||
|
}
|
||||||
|
resp = httpx.post(
|
||||||
|
CHAT_API_URL, headers=HEADERS, json=payload, timeout=120
|
||||||
|
)
|
||||||
|
resp.raise_for_status()
|
||||||
|
data = resp.json()
|
||||||
|
|
||||||
|
choice = data["choices"][0]["message"]
|
||||||
|
reasoning = choice.get("reasoning_content", "")
|
||||||
|
content = choice["content"]
|
||||||
|
usage = data["usage"]
|
||||||
|
|
||||||
|
# 显示回答
|
||||||
|
st.markdown(f"""
|
||||||
|
<div class="answer-card">
|
||||||
|
<h3>💬 模型回答</h3>
|
||||||
|
<div style="color: var(--text-primary); font-size: 0.95rem;">{content}</div>
|
||||||
|
</div>
|
||||||
|
""", unsafe_allow_html=True)
|
||||||
|
|
||||||
|
# 显示思考过程(可折叠)
|
||||||
|
if reasoning and enable_thinking:
|
||||||
|
with st.expander("🧠 查看思考过程"):
|
||||||
|
st.markdown(reasoning)
|
||||||
|
|
||||||
|
# Token 用量
|
||||||
|
st.markdown(f"""
|
||||||
|
<div class="token-usage">
|
||||||
|
Token 用量 — 输入: {usage['prompt_tokens']} | \
|
||||||
|
输出: {usage['completion_tokens']} | \
|
||||||
|
合计: {usage['total_tokens']}
|
||||||
|
</div>
|
||||||
|
""", unsafe_allow_html=True)
|
||||||
|
|
||||||
|
except httpx.HTTPStatusError as e:
|
||||||
|
st.markdown(
|
||||||
|
f'<div class="alert-error">请求失败 (HTTP {e.response.status_code}): {e.response.text}</div>',
|
||||||
|
unsafe_allow_html=True,
|
||||||
|
)
|
||||||
|
except Exception as e:
|
||||||
|
st.markdown(
|
||||||
|
f'<div class="alert-error">请求异常: {e}</div>',
|
||||||
|
unsafe_allow_html=True,
|
||||||
|
)
|
||||||
|
|
||||||
|
# ─── Footer ───────────────────────────────────────────────────────────────────
|
||||||
|
st.markdown("<br>", unsafe_allow_html=True)
|
||||||
|
st.markdown("""
|
||||||
|
<div style="text-align:center; font-family:'JetBrains Mono',monospace; font-size:0.72rem;
|
||||||
|
color:#334155; padding:16px; border-top:1px solid rgba(74,222,128,0.1);">
|
||||||
|
Qwen3.5 + Thinking Chain | 农技智能问答系统
|
||||||
|
</div>
|
||||||
|
""", unsafe_allow_html=True)
|
||||||
20
config.py
Normal file
20
config.py
Normal file
@@ -0,0 +1,20 @@
|
|||||||
|
"""配置文件 — API 地址、密钥和模型参数。"""
|
||||||
|
|
||||||
|
import os
|
||||||
|
|
||||||
|
# API 地址
|
||||||
|
CHAT_API_URL = os.getenv(
|
||||||
|
"CHAT_API_URL", "https://llm.dev.maimaiag.com/v1/chat/completions"
|
||||||
|
)
|
||||||
|
|
||||||
|
# 密钥
|
||||||
|
API_KEY = os.getenv("API_KEY", "sk--VnOesEU5D8wnHjdg0MEsA")
|
||||||
|
|
||||||
|
# 模型名称
|
||||||
|
CHAT_MODEL = os.getenv("CHAT_MODEL", "qwen35-35b")
|
||||||
|
|
||||||
|
# 请求头
|
||||||
|
HEADERS = {
|
||||||
|
"Authorization": f"Bearer {API_KEY}",
|
||||||
|
"Content-Type": "application/json",
|
||||||
|
}
|
||||||
30
justfile
Normal file
30
justfile
Normal file
@@ -0,0 +1,30 @@
|
|||||||
|
# Justfile for AgricultureQA 农技智能问答
|
||||||
|
# Use `just <command>` to run tasks
|
||||||
|
|
||||||
|
# Default task: show available commands
|
||||||
|
default:
|
||||||
|
just --list
|
||||||
|
|
||||||
|
# Run the Streamlit app
|
||||||
|
run:
|
||||||
|
uv run streamlit run app.py
|
||||||
|
|
||||||
|
# Install dependencies
|
||||||
|
install:
|
||||||
|
uv add streamlit httpx ruff
|
||||||
|
|
||||||
|
# Format code with ruff
|
||||||
|
format:
|
||||||
|
uv run ruff format .
|
||||||
|
|
||||||
|
# Check code with ruff
|
||||||
|
check:
|
||||||
|
uv run ruff check .
|
||||||
|
|
||||||
|
# Run all checks and formatting
|
||||||
|
lint:
|
||||||
|
just format && just check
|
||||||
|
|
||||||
|
# Clean up cache files
|
||||||
|
clean:
|
||||||
|
rm -rf __pycache__ .ruff_cache .streamlit_cache
|
||||||
6
main.py
Normal file
6
main.py
Normal file
@@ -0,0 +1,6 @@
|
|||||||
|
def main():
|
||||||
|
print("Hello from AgricultureQA!")
|
||||||
|
|
||||||
|
|
||||||
|
if __name__ == "__main__":
|
||||||
|
main()
|
||||||
14
pyproject.toml
Normal file
14
pyproject.toml
Normal file
@@ -0,0 +1,14 @@
|
|||||||
|
[project]
|
||||||
|
name = "agriculture-qa"
|
||||||
|
version = "0.1.0"
|
||||||
|
description = "农技智能问答 - 基于 Qwen3.5 大模型的农业技术知识问答应用"
|
||||||
|
readme = "README.md"
|
||||||
|
requires-python = ">=3.14"
|
||||||
|
dependencies = [
|
||||||
|
"httpx>=0.28.1",
|
||||||
|
"streamlit>=1.52.1",
|
||||||
|
]
|
||||||
|
|
||||||
|
[[tool.uv.index]]
|
||||||
|
url = "https://mirrors.aliyun.com/pypi/simple"
|
||||||
|
default = true
|
||||||
651
uv.lock
generated
Normal file
651
uv.lock
generated
Normal file
@@ -0,0 +1,651 @@
|
|||||||
|
version = 1
|
||||||
|
revision = 3
|
||||||
|
requires-python = ">=3.14"
|
||||||
|
resolution-markers = [
|
||||||
|
"sys_platform == 'win32'",
|
||||||
|
"sys_platform == 'emscripten'",
|
||||||
|
"sys_platform != 'emscripten' and sys_platform != 'win32'",
|
||||||
|
]
|
||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "agriculture-qa"
|
||||||
|
version = "0.1.0"
|
||||||
|
source = { virtual = "." }
|
||||||
|
dependencies = [
|
||||||
|
{ name = "httpx" },
|
||||||
|
{ name = "streamlit" },
|
||||||
|
]
|
||||||
|
|
||||||
|
[package.metadata]
|
||||||
|
requires-dist = [
|
||||||
|
{ name = "httpx", specifier = ">=0.28.1" },
|
||||||
|
{ name = "streamlit", specifier = ">=1.52.1" },
|
||||||
|
]
|
||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "altair"
|
||||||
|
version = "6.0.0"
|
||||||
|
source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
|
||||||
|
dependencies = [
|
||||||
|
{ name = "jinja2" },
|
||||||
|
{ name = "jsonschema" },
|
||||||
|
{ name = "narwhals" },
|
||||||
|
{ name = "packaging" },
|
||||||
|
{ name = "typing-extensions", marker = "python_full_version < '3.15'" },
|
||||||
|
]
|
||||||
|
sdist = { url = "https://mirrors.aliyun.com/pypi/packages/f7/c0/184a89bd5feba14ff3c41cfaf1dd8a82c05f5ceedbc92145e17042eb08a4/altair-6.0.0.tar.gz", hash = "sha256:614bf5ecbe2337347b590afb111929aa9c16c9527c4887d96c9bc7f6640756b4" }
|
||||||
|
wheels = [
|
||||||
|
{ url = "https://mirrors.aliyun.com/pypi/packages/db/33/ef2f2409450ef6daa61459d5de5c08128e7d3edb773fefd0a324d1310238/altair-6.0.0-py3-none-any.whl", hash = "sha256:09ae95b53d5fe5b16987dccc785a7af8588f2dca50de1e7a156efa8a461515f8" },
|
||||||
|
]
|
||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "anyio"
|
||||||
|
version = "4.13.0"
|
||||||
|
source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
|
||||||
|
dependencies = [
|
||||||
|
{ name = "idna" },
|
||||||
|
]
|
||||||
|
sdist = { url = "https://mirrors.aliyun.com/pypi/packages/19/14/2c5dd9f512b66549ae92767a9c7b330ae88e1932ca57876909410251fe13/anyio-4.13.0.tar.gz", hash = "sha256:334b70e641fd2221c1505b3890c69882fe4a2df910cba14d97019b90b24439dc" }
|
||||||
|
wheels = [
|
||||||
|
{ url = "https://mirrors.aliyun.com/pypi/packages/da/42/e921fccf5015463e32a3cf6ee7f980a6ed0f395ceeaa45060b61d86486c2/anyio-4.13.0-py3-none-any.whl", hash = "sha256:08b310f9e24a9594186fd75b4f73f4a4152069e3853f1ed8bfbf58369f4ad708" },
|
||||||
|
]
|
||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "attrs"
|
||||||
|
version = "26.1.0"
|
||||||
|
source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
|
||||||
|
sdist = { url = "https://mirrors.aliyun.com/pypi/packages/9a/8e/82a0fe20a541c03148528be8cac2408564a6c9a0cc7e9171802bc1d26985/attrs-26.1.0.tar.gz", hash = "sha256:d03ceb89cb322a8fd706d4fb91940737b6642aa36998fe130a9bc96c985eff32" }
|
||||||
|
wheels = [
|
||||||
|
{ url = "https://mirrors.aliyun.com/pypi/packages/64/b4/17d4b0b2a2dc85a6df63d1157e028ed19f90d4cd97c36717afef2bc2f395/attrs-26.1.0-py3-none-any.whl", hash = "sha256:c647aa4a12dfbad9333ca4e71fe62ddc36f4e63b2d260a37a8b83d2f043ac309" },
|
||||||
|
]
|
||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "blinker"
|
||||||
|
version = "1.9.0"
|
||||||
|
source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
|
||||||
|
sdist = { url = "https://mirrors.aliyun.com/pypi/packages/21/28/9b3f50ce0e048515135495f198351908d99540d69bfdc8c1d15b73dc55ce/blinker-1.9.0.tar.gz", hash = "sha256:b4ce2265a7abece45e7cc896e98dbebe6cead56bcf805a3d23136d145f5445bf" }
|
||||||
|
wheels = [
|
||||||
|
{ url = "https://mirrors.aliyun.com/pypi/packages/10/cb/f2ad4230dc2eb1a74edf38f1a38b9b52277f75bef262d8908e60d957e13c/blinker-1.9.0-py3-none-any.whl", hash = "sha256:ba0efaa9080b619ff2f3459d1d500c57bddea4a6b424b60a91141db6fd2f08bc" },
|
||||||
|
]
|
||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "cachetools"
|
||||||
|
version = "7.0.5"
|
||||||
|
source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
|
||||||
|
sdist = { url = "https://mirrors.aliyun.com/pypi/packages/af/dd/57fe3fdb6e65b25a5987fd2cdc7e22db0aef508b91634d2e57d22928d41b/cachetools-7.0.5.tar.gz", hash = "sha256:0cd042c24377200c1dcd225f8b7b12b0ca53cc2c961b43757e774ebe190fd990" }
|
||||||
|
wheels = [
|
||||||
|
{ url = "https://mirrors.aliyun.com/pypi/packages/06/f3/39cf3367b8107baa44f861dc802cbf16263c945b62d8265d36034fc07bea/cachetools-7.0.5-py3-none-any.whl", hash = "sha256:46bc8ebefbe485407621d0a4264b23c080cedd913921bad7ac3ed2f26c183114" },
|
||||||
|
]
|
||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "certifi"
|
||||||
|
version = "2026.2.25"
|
||||||
|
source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
|
||||||
|
sdist = { url = "https://mirrors.aliyun.com/pypi/packages/af/2d/7bf41579a8986e348fa033a31cdd0e4121114f6bce2457e8876010b092dd/certifi-2026.2.25.tar.gz", hash = "sha256:e887ab5cee78ea814d3472169153c2d12cd43b14bd03329a39a9c6e2e80bfba7" }
|
||||||
|
wheels = [
|
||||||
|
{ url = "https://mirrors.aliyun.com/pypi/packages/9a/3c/c17fb3ca2d9c3acff52e30b309f538586f9f5b9c9cf454f3845fc9af4881/certifi-2026.2.25-py3-none-any.whl", hash = "sha256:027692e4402ad994f1c42e52a4997a9763c646b73e4096e4d5d6db8af1d6f0fa" },
|
||||||
|
]
|
||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "charset-normalizer"
|
||||||
|
version = "3.4.7"
|
||||||
|
source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
|
||||||
|
sdist = { url = "https://mirrors.aliyun.com/pypi/packages/e7/a1/67fe25fac3c7642725500a3f6cfe5821ad557c3abb11c9d20d12c7008d3e/charset_normalizer-3.4.7.tar.gz", hash = "sha256:ae89db9e5f98a11a4bf50407d4363e7b09b31e55bc117b4f7d80aab97ba009e5" }
|
||||||
|
wheels = [
|
||||||
|
{ url = "https://mirrors.aliyun.com/pypi/packages/97/c8/c67cb8c70e19ef1960b97b22ed2a1567711de46c4ddf19799923adc836c2/charset_normalizer-3.4.7-cp314-cp314-macosx_10_15_universal2.whl", hash = "sha256:c36c333c39be2dbca264d7803333c896ab8fa7d4d6f0ab7edb7dfd7aea6e98c0" },
|
||||||
|
{ url = "https://mirrors.aliyun.com/pypi/packages/99/85/c091fdee33f20de70d6c8b522743b6f831a2f1cd3ff86de4c6a827c48a76/charset_normalizer-3.4.7-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:1c2aed2e5e41f24ea8ef1590b8e848a79b56f3a5564a65ceec43c9d692dc7d8a" },
|
||||||
|
{ url = "https://mirrors.aliyun.com/pypi/packages/87/1c/ab2ce611b984d2fd5d86a5a8a19c1ae26acac6bad967da4967562c75114d/charset_normalizer-3.4.7-cp314-cp314-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:54523e136b8948060c0fa0bc7b1b50c32c186f2fceee897a495406bb6e311d2b" },
|
||||||
|
{ url = "https://mirrors.aliyun.com/pypi/packages/a8/29/2b1d2cb00bf085f59d29eb773ce58ec2d325430f8c216804a0a5cd83cbca/charset_normalizer-3.4.7-cp314-cp314-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:715479b9a2802ecac752a3b0efa2b0b60285cf962ee38414211abdfccc233b41" },
|
||||||
|
{ url = "https://mirrors.aliyun.com/pypi/packages/47/5c/032c2d5a07fe4d4855fea851209cca2b6f03ebeb6d4e3afdb3358386a684/charset_normalizer-3.4.7-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:bd6c2a1c7573c64738d716488d2cdd3c00e340e4835707d8fdb8dc1a66ef164e" },
|
||||||
|
{ url = "https://mirrors.aliyun.com/pypi/packages/2c/c2/356065d5a8b78ed04499cae5f339f091946a6a74f91e03476c33f0ab7100/charset_normalizer-3.4.7-cp314-cp314-manylinux_2_31_armv7l.whl", hash = "sha256:c45e9440fb78f8ddabcf714b68f936737a121355bf59f3907f4e17721b9d1aae" },
|
||||||
|
{ url = "https://mirrors.aliyun.com/pypi/packages/0c/cd/a32a84217ced5039f53b29f460962abb2d4420def55afabe45b1c3c7483d/charset_normalizer-3.4.7-cp314-cp314-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:3534e7dcbdcf757da6b85a0bbf5b6868786d5982dd959b065e65481644817a18" },
|
||||||
|
{ url = "https://mirrors.aliyun.com/pypi/packages/44/86/58e6f13ce26cc3b8f4a36b94a0f22ae2f00a72534520f4ae6857c4b81f89/charset_normalizer-3.4.7-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:e8ac484bf18ce6975760921bb6148041faa8fef0547200386ea0b52b5d27bf7b" },
|
||||||
|
{ url = "https://mirrors.aliyun.com/pypi/packages/8f/fe/d17c32dc72e17e155e06883efa84514ca375f8a528ba2546bee73fc4df81/charset_normalizer-3.4.7-cp314-cp314-musllinux_1_2_armv7l.whl", hash = "sha256:a5fe03b42827c13cdccd08e6c0247b6a6d4b5e3cdc53fd1749f5896adcdc2356" },
|
||||||
|
{ url = "https://mirrors.aliyun.com/pypi/packages/6a/29/f33daa50b06525a237451cdb6c69da366c381a3dadcd833fa5676bc468b3/charset_normalizer-3.4.7-cp314-cp314-musllinux_1_2_ppc64le.whl", hash = "sha256:2d6eb928e13016cea4f1f21d1e10c1cebd5a421bc57ddf5b1142ae3f86824fab" },
|
||||||
|
{ url = "https://mirrors.aliyun.com/pypi/packages/b6/6e/52c84015394a6a0bdcd435210a7e944c5f94ea1055f5cc5d56c5fe368e7b/charset_normalizer-3.4.7-cp314-cp314-musllinux_1_2_riscv64.whl", hash = "sha256:e74327fb75de8986940def6e8dee4f127cc9752bee7355bb323cc5b2659b6d46" },
|
||||||
|
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||||||
|
{ url = "https://mirrors.aliyun.com/pypi/packages/07/f6/d0e5b343768e8bcb4cda79f0f2f55051bf26177ecd5651f84c07567461cf/watchdog-6.0.0-py3-none-win32.whl", hash = "sha256:07df1fdd701c5d4c8e55ef6cf55b8f0120fe1aef7ef39a1c6fc6bc2e606d517a" },
|
||||||
|
{ url = "https://mirrors.aliyun.com/pypi/packages/db/d9/c495884c6e548fce18a8f40568ff120bc3a4b7b99813081c8ac0c936fa64/watchdog-6.0.0-py3-none-win_amd64.whl", hash = "sha256:cbafb470cf848d93b5d013e2ecb245d4aa1c8fd0504e863ccefa32445359d680" },
|
||||||
|
{ url = "https://mirrors.aliyun.com/pypi/packages/33/e8/e40370e6d74ddba47f002a32919d91310d6074130fe4e17dabcafc15cbf1/watchdog-6.0.0-py3-none-win_ia64.whl", hash = "sha256:a1914259fa9e1454315171103c6a30961236f508b9b623eae470268bbcc6a22f" },
|
||||||
|
]
|
||||||
Reference in New Issue
Block a user