app

Author: jackalcooper

Dockerfile

@@ -2,28 +2,27 @@
 
 FROM python:3.11-slim-bookworm
 
-WORKDIR /app
+# 建议：将工作目录改为 /src 或 /code，避免和 app 包名混淆
+WORKDIR /src
 
-# Install uv (better: copy the static binary from the official uv image)
+# --- 1. 安装依赖环境 ---
 COPY --from=ghcr.io/astral-sh/uv:latest /uv /uvx /bin/
-
-# Optional but common: keep uv caches in a known place
 ENV UV_CACHE_DIR=/root/.cache/uv
 
-# Copy only dependency inputs first for better Docker layer caching
 COPY pyproject.toml uv.lock ./
-
-# Create/sync the project environment from the lockfile
-# --frozen: fail if lock and project metadata don't match; don't update the lock
-# --no-dev: skip dev dependency groups in the final image
 RUN --mount=type=cache,target=/root/.cache/uv \
     uv sync --frozen --no-dev
 
-# Now copy the rest of the app
-COPY tests/mock_server.py ./main.py
+# --- 2. 复制代码 ---
+# 将本地的 app 目录 复制到 容器的 /src/app
+COPY app ./app
+# 复制配置文件
+COPY gunicorn.conf.py .
 
-# Make sure the venv's executables are on PATH
-ENV PATH="/app/.venv/bin:$PATH"
+ENV PATH="/src/.venv/bin:$PATH"
 
 EXPOSE 8000
-CMD ["uv", "run", "--frozen", "python", "main.py"]
+
+# --- 3. 启动命令 ---
+# app.main:app 代表：包名(app) -> 文件名(main) -> 实例名(app)
+CMD ["gunicorn", "-c", "gunicorn.conf.py", "app.main:app"]

app/__init__.py

@@ -0,0 +1,26 @@
+import multiprocessing
+import os
+
+# 获取 CPU 核心数
+workers_per_core = 2
+cores = multiprocessing.cpu_count()
+
+# 核心计算公式：CPU核数 * 2 + 1
+# 这是一个经典的 Gunicorn 推荐公式，既能利用多核，又能防止过多的上下文切换
+default_workers = (cores * workers_per_core) + 1
+
+# 允许通过环境变量覆盖（可选，方便调试）
+workers = int(os.getenv("WORKERS", default_workers))
+
+# 指定 Worker 类型为 Uvicorn（关键！必须支持 ASGI）
+worker_class = "uvicorn.workers.UvicornWorker"
+
+# 绑定地址
+bind = "0.0.0.0:8000"
+
+# 日志级别
+loglevel = "warning"
+
+# 超时设置（根据 DeepSeek 的流式输出特点，建议稍微调大，防止长文本生成断连）
+timeout = 120
+keepalive = 5

tests/mock_server.py app/main.pytests/mock_server.py renamed to app/main.py

@@ -7,8 +7,9 @@ requires-python = ">=3.11"
 dependencies = [
     "black>=25.12.0",
     "fastapi>=0.128.0",
+    "gunicorn>=23.0.0",
     "openai>=2.14.0",
     "pydantic>=2.12.5",
     "pytest-xdist>=3.8.0",
-    "uvicorn>=0.40.0",
+    "uvicorn[standard]>=0.40.0",
 ]