zycandClaude Opus 4.8
3472c3cc9c
- 后端 gunicorn 加 --threads 4:纯 sync worker 下几张图就占满 3 worker, 健康探针 /api/health/ 拿不到 worker→超时→pod 判不就绪→流量被掐→整站502。 图片生成 I/O 密集,加线程后慢请求不再饿死探针/其他接口。 - 前端图片生成并发上限 2:每张仍独立短请求,但不再 N 条一起砸单 pod 致 OOM。 - ai-tools 全部模特→ 接成展开/收起全部模特(原为纯 span 死链,模特>6 时第7个起选不到)。 Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
40 lines
2.1 KiB
Docker
40 lines
2.1 KiB
Docker
# ---- AirShelf core backend: Django + DRF + gunicorn / celery ----
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FROM docker.m.daocloud.io/python:3.12-slim
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ENV PYTHONUNBUFFERED=1 \
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PYTHONDONTWRITEBYTECODE=1 \
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PIP_NO_CACHE_DIR=1 \
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PIP_INDEX_URL=https://mirrors.aliyun.com/pypi/simple/
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WORKDIR /app
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# 视频导出(stage5 拼接)靠 ffmpeg 二进制;字幕用 Pillow 渲染 PNG 需中文字体(fonts-noto-cjk),
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# 否则线上导出报 "No such file or directory: 'ffmpeg'" / 中文字幕变方块。slim 镜像默认两者都无。
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# 换阿里云 apt 源避免国内构建超时(兼容 bookworm 的 deb822 与旧 sources.list 两种格式)。
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RUN (sed -i 's|deb.debian.org|mirrors.aliyun.com|g; s|security.debian.org|mirrors.aliyun.com|g' /etc/apt/sources.list.d/debian.sources 2>/dev/null \
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|| sed -i 's|deb.debian.org|mirrors.aliyun.com|g; s|security.debian.org|mirrors.aliyun.com|g' /etc/apt/sources.list 2>/dev/null || true) \
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&& apt-get update \
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&& apt-get install -y --no-install-recommends ffmpeg fonts-noto-cjk \
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&& rm -rf /var/lib/apt/lists/*
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# PyMySQL is pure-python (install_as_MySQLdb), boto3/gunicorn need no C deps,
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# so the slim image is enough — no build-essential required.
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COPY requirements.txt .
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RUN pip install --upgrade pip && pip install -r requirements.txt
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COPY . .
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# Collected admin/static lands here; served by WhiteNoise (see settings/production.py)
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RUN mkdir -p /app/staticfiles
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COPY docker-entrypoint.sh /usr/local/bin/docker-entrypoint.sh
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RUN chmod +x /usr/local/bin/docker-entrypoint.sh
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EXPOSE 8000
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ENTRYPOINT ["docker-entrypoint.sh"]
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# timeout 300:图片生成是慢请求(等 ARK+传 TOS ~30s),300s 给慢 ARK 留充足余量。
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# --threads 4:关键!纯 sync worker 下,几张图就能把 3 个 worker 占满,健康探针 /api/health/
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# 拿不到 worker → 超时 → pod 被判不就绪 → 流量被掐 → 整站 502(表现:报错但后端在干活、刷新能看到图)。
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# 图片生成是 I/O 密集(等 ARK/TOS 时线程让出 GIL),3 worker × 4 线程 = 12 并发,慢请求不再饿死探针。
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CMD ["gunicorn", "airshelf.wsgi:application", "--bind", "0.0.0.0:8000", "--workers", "3", "--threads", "4", "--timeout", "300"]
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