feat(build): 全面优化打包流程,Docker 镜像自动发布到 GHCR

Docker 优化:
- Dockerfile 层缓存(requirements/lockfile 先复制再安装)
- ARG 可配置镜像源,国际用户可覆盖为默认源
- 前端 Dockerfile 改用 corepack + frozen-lockfile
- 精简 .dockerignore,排除 .git 和 Tauri 构建产物

CI/CD 优化:
- docker-build 自动推送到 GHCR,支持 amd64/arm64 双架构
- 桌面端 CI 增加 pip/pnpm/cargo 缓存,升级 actions 版本
- Python 版本对齐为 3.11,增加 Linux 构建矩阵
- build.sh 加 -y 覆盖标志

文档更新:
- README Docker 部署简化为 docker pull + docker run

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
huangjianwu
2026-03-23 17:48:34 +08:00
parent 5861ef4168
commit f6a3438079
11 changed files with 220 additions and 413 deletions

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@@ -1,321 +1,35 @@
# Logs
logs
*.log
npm-debug.log*
yarn-debug.log*
yarn-error.log*
lerna-debug.log*
.pnpm-debug.log*
# Git 和 IDE
.git
.github
.idea/
.vscode/
.DS_Store
# Diagnostic reports (https://nodejs.org/api/report.html)
report.[0-9]*.[0-9]*.[0-9]*.[0-9]*.json
BiliNote/pnpm-lock.yaml
# Runtime data
pids
*.pid
*.seed
*.pid.lock
# Directory for instrumented libs generated by jscoverage/JSCover
lib-cov
# Tauri 构建产物(非常大)
BillNote_frontend/src-tauri/target
BillNote_frontend/src-tauri/bin
# Coverage directory used by tools like istanbul
coverage
*.lcov
# 运行时数据
backend/data
backend/static
backend/models
backend/logs
backend/uploads
backend/*.db
backend/note_results
backend/bin/
# nyc test coverage
.nyc_output
# Grunt intermediate storage (https://gruntjs.com/creating-plugins#storing-task-files)
.grunt
# Bower dependency directory (https://bower.io/)
bower_components
# node-waf configuration
.lock-wscript
# Compiled binary addons (https://nodejs.org/api/addons.html)
build/Release
# Dependency directories
# 依赖和构建缓存
node_modules/
jspm_packages/
# Snowpack dependency directory (https://snowpack.dev/)
web_modules/
# TypeScript cache
*.tsbuildinfo
# Optional npm cache directory
.npm
# Optional eslint cache
.eslintcache
# Optional stylelint cache
.stylelintcache
# Microbundle cache
.rpt2_cache/
.rts2_cache_cjs/
.rts2_cache_es/
.rts2_cache_umd/
.BiliNote-dev/*
# Optional REPL history
.node_repl_history
# Output of 'npm pack'
*.tgz
# Yarn Integrity file
.yarn-integrity
# dotenv environment variable files
.env
.env.development.local
.env.test.local
.env.production.local
.env.local
!.env.example
# parcel-bundler cache (https://parceljs.org/)
.cache
.parcel-cache
# Next.js build output
.next
out
# Nuxt.js build / generate output
.nuxt
dist
# Gatsby files
.cache/
# Comment in the public line in if your project uses Gatsby and not Next.js
# https://nextjs.org/blog/next-9-1#public-directory-support
# public
# vuepress build output
.vuepress/dist
# vuepress v2.x temp and cache directory
.temp
.cache
# vitepress build output
**/.vitepress/dist
# vitepress cache directory
**/.vitepress/cache
# Docusaurus cache and generated files
.docusaurus
# Serverless directories
.serverless/
# FuseBox cache
.fusebox/
# DynamoDB Local files
.dynamodb/
# TernJS port file
.tern-port
# Stores VSCode versions used for testing VSCode extensions
.vscode-test
# yarn v2
.yarn/cache
.yarn/unplugged
.yarn/build-state.yml
.yarn/install-state.gz
.pnp.*
# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class
# C extensions
*.so
# Distribution / packaging
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib64/
parts/
sdist/
var/
wheels/
share/python-wheels/
build/
*.tar
*.egg-info/
.installed.cfg
*.egg
MANIFEST
# PyInstaller
# Usually these files are written by a python script from a template
# before PyInstaller builds the exe, so as to inject date/other infos into it.
*.manifest
*.spec
# Installer logs
pip-log.txt
pip-delete-this-directory.txt
# Unit test / coverage reports
htmlcov/
.tox/
.nox/
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*.cover
*.py,cover
.hypothesis/
.pytest_cache/
cover/
# Translations
*.mo
*.pot
.idea/
# Django stuff:
*.log
local_settings.py
db.sqlite3
db.sqlite3-journal
# Flask stuff:
instance/
.webassets-cache
# Scrapy stuff:
.scrapy
# Sphinx documentation
docs/_build/
# PyBuilder
.pybuilder/
target/
# Jupyter Notebook
.ipynb_checkpoints
# IPython
profile_default/
ipython_config.py
# pyenv
# For a library or package, you might want to ignore these files since the code is
# intended to run in multiple environments; otherwise, check them in:
# .python-version
# pipenv
# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
# However, in case of collaboration, if having platform-specific dependencies or dependencies
# having no cross-platform support, pipenv may install dependencies that don't work, or not
# install all needed dependencies.
#Pipfile.lock
# UV
# Similar to Pipfile.lock, it is generally recommended to include uv.lock in version control.
# This is especially recommended for binary packages to ensure reproducibility, and is more
# commonly ignored for libraries.
#uv.lock
# poetry
# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
# This is especially recommended for binary packages to ensure reproducibility, and is more
# commonly ignored for libraries.
# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
#poetry.lock
# pdm
# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
#pdm.lock
# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
# in version control.
# https://pdm.fming.dev/latest/usage/project/#working-with-version-control
.pdm.toml
.pdm-python
.pdm-build/
# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
__pypackages__/
# Celery stuff
celerybeat-schedule
celerybeat.pid
# SageMath parsed files
*.sage.py
# Environments
# 环境文件
.env
.venv
env/
venv/
ENV/
env.bak/
venv.bak/
# Spyder project settings
.spyderproject
.spyproject
# Rope project settings
.ropeproject
# mkdocs documentation
/site
# mypy
.mypy_cache/
.dmypy.json
dmypy.json
# Pyre type checker
.pyre/
# pytype static type analyzer
.pytype/
# Cython debug symbols
cython_debug/
# PyCharm
# JetBrains specific template is maintained in a separate JetBrains.gitignore that can
# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
# and can be added to the global gitignore or merged into this file. For a more nuclear
# option (not recommended) you can uncomment the following to ignore the entire idea folder.
#.idea/
# Ruff stuff:
.ruff_cache/
# PyPI configuration file
.pypirc
/backend/data/*
/backend/static/*
/backend/note_tasks.db
/backend/bin/
/backend/logs/
/backend/note_results
/backend/models
/backend/.idea/*
/backend/bili_note.db
/backend/uploads/*
/BiliNote_frontend/.idea/*
.env.local
.env.*.local
!.env.example

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@@ -1,76 +1,73 @@
name: Build Complete Docker Image
name: Build and Publish Docker Image
on:
push:
tags:
- 'v*' # 在推送 tag 时触发 (如 v1.0.0)
- 'v*'
workflow_dispatch:
env:
REGISTRY: ghcr.io
IMAGE_NAME: ${{ github.repository }}
jobs:
build:
build-and-push:
runs-on: ubuntu-latest
permissions:
contents: read
packages: write
steps:
- name: Checkout Code
uses: actions/checkout@v4
- name: Extract Version from Tag
id: get_version
run: |
# 获取 tag 名称 (如 refs/tags/v1.0.0 -> v1.0.0)
VERSION=${GITHUB_REF#refs/tags/}
echo "version=$VERSION" >> $GITHUB_OUTPUT
echo "Tag version: $VERSION"
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v3
- name: Build Docker Image
run: |
VERSION="${{ steps.get_version.outputs.version }}"
IMAGE_NAME="bilinote:${VERSION}"
echo "Building image: ${IMAGE_NAME}"
# 构建镜像
docker build -f Dockerfile.complete -t ${IMAGE_NAME} .
# 保存镜像为 tar 文件
docker save ${IMAGE_NAME} -o bilinote-${VERSION}.tar
# 显示镜像信息
echo "Image built successfully!"
docker images bilinote:${VERSION}
- name: Upload Docker Image Artifact
uses: actions/upload-artifact@v4
- name: Log in to GitHub Container Registry
uses: docker/login-action@v3
with:
name: bilinote-${{ steps.get_version.outputs.version }}
path: bilinote-${{ steps.get_version.outputs.version }}.tar
retention-days: 90
registry: ${{ env.REGISTRY }}
username: ${{ github.actor }}
password: ${{ secrets.GITHUB_TOKEN }}
- name: Extract metadata (tags, labels)
id: meta
uses: docker/metadata-action@v5
with:
images: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}
tags: |
type=semver,pattern={{version}}
type=semver,pattern={{major}}.{{minor}}
type=sha,prefix=
type=raw,value=latest,enable={{is_default_branch}}
- name: Build and Push Docker Image
uses: docker/build-push-action@v6
with:
context: .
file: Dockerfile.complete
push: true
tags: ${{ steps.meta.outputs.tags }}
labels: ${{ steps.meta.outputs.labels }}
cache-from: type=gha
cache-to: type=gha,mode=max
platforms: linux/amd64,linux/arm64
- name: Generate Usage Instructions
run: |
VERSION="${{ steps.get_version.outputs.version }}"
echo "=========================================="
echo "Docker Image Build Complete!"
echo "Docker Image Published!"
echo "=========================================="
echo ""
echo "Image Name: bilinote:${VERSION}"
echo "Artifact: bilinote-${VERSION}.tar"
echo "Pull the image:"
echo " docker pull ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}:latest"
echo ""
echo "To use this Docker image:"
echo "1. Download the artifact from this workflow run"
echo "2. Load the image:"
echo " docker load < bilinote-${VERSION}.tar"
echo "3. Run the container:"
echo " docker run -d -p 80:80 --name bilinote bilinote:${VERSION}"
echo "Run the container:"
echo " docker run -d -p 80:80 \\"
echo " -v bilinote-data:/app/backend/data \\"
echo " --name bilinote \\"
echo " ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}:latest"
echo ""
echo "Or with environment variables:"
echo " docker run -d -p 80:80 \\"
echo " -e BACKEND_PORT=8483 \\"
echo " -e BACKEND_HOST=0.0.0.0 \\"
echo " -v /path/to/data:/app/backend/data \\"
echo " --name bilinote bilinote:${VERSION}"
echo ""
echo "Access the application at: http://localhost:80"
echo "Access the application at: http://localhost"
echo "=========================================="

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@@ -6,25 +6,38 @@ on:
tags:
- 'v*' # 发布 tag 时触发
workflow_dispatch:
jobs:
build:
strategy:
matrix:
platform: [macos-latest, windows-latest]
include:
- platform: macos-latest
- platform: ubuntu-22.04
- platform: windows-latest
runs-on: ${{ matrix.platform }}
steps:
- name: Checkout Code
uses: actions/checkout@v3
uses: actions/checkout@v4
# 设置 Python 环境
# Linux 系统依赖Tauri 需要)
- name: Install Linux Dependencies
if: matrix.platform == 'ubuntu-22.04'
run: |
sudo apt-get update
sudo apt-get install -y libwebkit2gtk-4.1-dev libappindicator3-dev librsvg2-dev patchelf
# 设置 Python 环境(带 pip 缓存)
- name: Set up Python
uses: actions/setup-python@v4
uses: actions/setup-python@v5
with:
python-version: '3.10'
python-version: '3.11'
cache: 'pip'
cache-dependency-path: backend/requirements.txt
# 安装 Python 依赖并执行你的 build.sh
# 安装 Python 依赖并执行构建
- name: Install Python dependencies & Build backend
shell: bash
run: |
@@ -38,30 +51,57 @@ jobs:
./backend/build.sh
fi
# 设置 Node 环境 + 安装前端依赖
# 设置 pnpm
- name: Setup pnpm
uses: pnpm/action-setup@v4
with:
version: 'latest'
# 设置 Node 环境(带 pnpm 缓存)
- name: Set up Node.js
uses: actions/setup-node@v3
uses: actions/setup-node@v4
with:
node-version: '20'
cache: 'pnpm'
cache-dependency-path: BillNote_frontend/pnpm-lock.yaml
- name: Enable Corepack + Install pnpm
- name: Install frontend dependencies
working-directory: BillNote_frontend
run: |
corepack enable
pnpm install
run: pnpm install --frozen-lockfile
# 设置 Rust 环境
- name: Set up Rust
uses: dtolnay/rust-toolchain@stable
# Cargo 缓存
- name: Cache Cargo
uses: actions/cache@v4
with:
path: |
~/.cargo/bin/
~/.cargo/registry/index/
~/.cargo/registry/cache/
~/.cargo/git/db/
BillNote_frontend/src-tauri/target/
key: ${{ runner.os }}-cargo-${{ hashFiles('BillNote_frontend/src-tauri/Cargo.lock') }}
restore-keys: ${{ runner.os }}-cargo-
# 打包 Tauri 应用
- name: Build Tauri App
working-directory: BillNote_frontend
run: pnpm tauri build
# 可选:上传构建产物
# 生成 SHA256 校验和
- name: Generate Checksums
shell: bash
run: |
cd BillNote_frontend/src-tauri/target/release/bundle/
find . -type f \( -name "*.dmg" -o -name "*.msi" -o -name "*.deb" -o -name "*.AppImage" \) -exec sha256sum {} \; > checksums.sha256 || true
# 上传构建产物
- name: Upload Desktop Bundle
uses: actions/upload-artifact@v4
with:
name: app-${{ matrix.platform }}
path: BillNote_frontend/src-tauri/target/release/bundle/
path: |
BillNote_frontend/src-tauri/target/release/bundle/

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@@ -1,25 +1,23 @@
# === 前端构建阶段 ===
FROM node:18-alpine AS builder
# 安装 pnpm
RUN npm install -g pnpm
RUN corepack enable && corepack prepare pnpm@latest --activate
# 设置工作目录
WORKDIR /app
# 拷贝前端源码
COPY ./BillNote_frontend /app
# 先复制 lockfile 利用依赖层缓存
COPY ./BillNote_frontend/package.json ./BillNote_frontend/pnpm-lock.yaml ./
RUN pnpm install --frozen-lockfile
# 安装依赖并构建
RUN pnpm install && pnpm run build
# 再复制源代码并构建
COPY ./BillNote_frontend/ ./
RUN pnpm run build
# --- 阶段2使用 nginx 作为静态服务器 ---
FROM nginx:1.25-alpine
# 删除默认配置(可选)
RUN rm -rf /etc/nginx/conf.d/default.conf
COPY ./BillNote_frontend/deploy/default.conf /etc/nginx/conf.d/default.conf
# 拷贝构建产物
COPY --from=builder /app/dist /usr/share/nginx/html
COPY --from=builder /app/dist /usr/share/nginx/html

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@@ -1,41 +1,56 @@
# === 阶段1构建 Backend ===
FROM python:3.11-slim AS backend-builder
ARG APT_MIRROR=mirrors.tuna.tsinghua.edu.cn
ARG PIP_INDEX=https://pypi.tuna.tsinghua.edu.cn/simple
RUN rm -f /etc/apt/sources.list && \
rm -rf /etc/apt/sources.list.d/* && \
echo "deb https://mirrors.tuna.tsinghua.edu.cn/debian bookworm main contrib non-free non-free-firmware" > /etc/apt/sources.list && \
echo "deb https://mirrors.tuna.tsinghua.edu.cn/debian bookworm-updates main contrib non-free non-free-firmware" >> /etc/apt/sources.list && \
echo "deb https://mirrors.tuna.tsinghua.edu.cn/debian-security bookworm-security main contrib non-free non-free-firmware" >> /etc/apt/sources.list && \
echo "deb https://${APT_MIRROR}/debian bookworm main contrib non-free non-free-firmware" > /etc/apt/sources.list && \
echo "deb https://${APT_MIRROR}/debian bookworm-updates main contrib non-free non-free-firmware" >> /etc/apt/sources.list && \
echo "deb https://${APT_MIRROR}/debian-security bookworm-security main contrib non-free non-free-firmware" >> /etc/apt/sources.list && \
apt-get update && \
apt-get install -y ffmpeg && \
apt-get install -y --no-install-recommends ffmpeg && \
rm -rf /var/lib/apt/lists/*
ENV PATH="/usr/bin:${PATH}"
ENV HF_ENDPOINT=https://hf-mirror.com
WORKDIR /tmp/backend
# 先复制 requirements.txt 利用层缓存
COPY ./backend/requirements.txt /tmp/backend/requirements.txt
RUN pip install --no-cache-dir -i ${PIP_INDEX} -r requirements.txt
COPY ./backend /tmp/backend
RUN pip install --no-cache-dir -i https://pypi.tuna.tsinghua.edu.cn/simple -r requirements.txt
# === 阶段2构建 Frontend ===
FROM node:18-alpine AS frontend-builder
RUN npm install -g pnpm
RUN corepack enable && corepack prepare pnpm@latest --activate
WORKDIR /tmp/frontend
# 先复制 lockfile 利用依赖层缓存
COPY ./BillNote_frontend/package.json ./BillNote_frontend/pnpm-lock.yaml ./
RUN pnpm install --frozen-lockfile
COPY ./BillNote_frontend /tmp/frontend
RUN pnpm install && pnpm run build
RUN pnpm run build
# === 阶段3完整应用镜像 ===
FROM python:3.11-slim
ARG APT_MIRROR=mirrors.tuna.tsinghua.edu.cn
# 安装必要的运行时依赖
RUN rm -f /etc/apt/sources.list && \
rm -rf /etc/apt/sources.list.d/* && \
echo "deb https://mirrors.tuna.tsinghua.edu.cn/debian bookworm main contrib non-free non-free-firmware" > /etc/apt/sources.list && \
echo "deb https://mirrors.tuna.tsinghua.edu.cn/debian bookworm-updates main contrib non-free non-free-firmware" >> /etc/apt/sources.list && \
echo "deb https://mirrors.tuna.tsinghua.edu.cn/debian-security bookworm-security main contrib non-free non-free-firmware" >> /etc/apt/sources.list && \
echo "deb https://${APT_MIRROR}/debian bookworm main contrib non-free non-free-firmware" > /etc/apt/sources.list && \
echo "deb https://${APT_MIRROR}/debian bookworm-updates main contrib non-free non-free-firmware" >> /etc/apt/sources.list && \
echo "deb https://${APT_MIRROR}/debian-security bookworm-security main contrib non-free non-free-firmware" >> /etc/apt/sources.list && \
apt-get update && \
apt-get install -y ffmpeg nginx supervisor procps && \
apt-get install -y --no-install-recommends ffmpeg nginx supervisor procps && \
rm -rf /var/lib/apt/lists/*
ENV PATH="/usr/bin:${PATH}"

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@@ -104,9 +104,30 @@ sudo apt install ffmpeg
### 🐳 使用 Docker 一键部署
确保你已安装 Docker 和 Docker Compose
确保你已安装 Docker,然后直接拉取预构建镜像运行
[docker 部署](https://github.com/JefferyHcool/bilinote-deploy/blob/master/README.md)
```bash
# 拉取最新镜像
docker pull ghcr.io/jefferyhcool/bilinote:latest
# 运行容器
docker run -d -p 80:80 \
-v bilinote-data:/app/backend/data \
--name bilinote \
ghcr.io/jefferyhcool/bilinote:latest
```
访问:`http://localhost`
也可以使用 docker-compose 本地构建:
```bash
# 标准部署
docker-compose up -d
# GPU 加速部署(需要 NVIDIA GPU
docker-compose -f docker-compose.gpu.yml up -d
```
## 🧠 TODO

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@@ -1,23 +1,27 @@
FROM python:3.11-slim
ARG APT_MIRROR=mirrors.tuna.tsinghua.edu.cn
ARG PIP_INDEX=https://pypi.tuna.tsinghua.edu.cn/simple
RUN rm -f /etc/apt/sources.list && \
rm -rf /etc/apt/sources.list.d/* && \
echo "deb https://mirrors.tuna.tsinghua.edu.cn/debian bookworm main contrib non-free non-free-firmware" > /etc/apt/sources.list && \
echo "deb https://mirrors.tuna.tsinghua.edu.cn/debian bookworm-updates main contrib non-free non-free-firmware" >> /etc/apt/sources.list && \
echo "deb https://mirrors.tuna.tsinghua.edu.cn/debian-security bookworm-security main contrib non-free non-free-firmware" >> /etc/apt/sources.list && \
echo "deb https://${APT_MIRROR}/debian bookworm main contrib non-free non-free-firmware" > /etc/apt/sources.list && \
echo "deb https://${APT_MIRROR}/debian bookworm-updates main contrib non-free non-free-firmware" >> /etc/apt/sources.list && \
echo "deb https://${APT_MIRROR}/debian-security bookworm-security main contrib non-free non-free-firmware" >> /etc/apt/sources.list && \
apt-get update && \
apt-get install -y ffmpeg && \
apt-get install -y --no-install-recommends ffmpeg curl && \
rm -rf /var/lib/apt/lists/*
# 确保 PATH 中包含 ffmpeg 路径(可选)
ENV PATH="/usr/bin:${PATH}"
# 设置 Hugging Face 镜像源环境变量
ENV HF_ENDPOINT=https://hf-mirror.com
WORKDIR /app
# 先复制 requirements.txt 利用层缓存
COPY ./backend/requirements.txt /app/requirements.txt
RUN pip install --no-cache-dir -i ${PIP_INDEX} -r requirements.txt
# 再复制应用代码(频繁变动不影响 pip 缓存层)
COPY ./backend /app
RUN pip install --no-cache-dir -i https://pypi.tuna.tsinghua.edu.cn/simple -r requirements.txt
CMD ["python", "main.py"]

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@@ -1,16 +1,27 @@
FROM nvidia/cuda:12.4.1-cudnn-runtime-ubuntu22.04
RUN apt update && \
apt install -y ffmpeg python3-pip && \
apt clean all && \
ARG APT_MIRROR=mirrors.tuna.tsinghua.edu.cn
ARG PIP_INDEX=https://pypi.tuna.tsinghua.edu.cn/simple
RUN rm -f /etc/apt/sources.list && \
rm -rf /etc/apt/sources.list.d/* && \
echo "deb https://${APT_MIRROR}/ubuntu jammy main restricted universe multiverse" > /etc/apt/sources.list && \
echo "deb https://${APT_MIRROR}/ubuntu jammy-updates main restricted universe multiverse" >> /etc/apt/sources.list && \
echo "deb https://${APT_MIRROR}/ubuntu jammy-security main restricted universe multiverse" >> /etc/apt/sources.list && \
apt-get update && \
apt-get install -y --no-install-recommends ffmpeg python3-pip curl && \
rm -rf /var/lib/apt/lists/*
# 设置 Hugging Face 镜像源环境变量
ENV HF_ENDPOINT=https://hf-mirror.com
WORKDIR /app
# 先复制 requirements.txt 利用层缓存
COPY ./backend/requirements.txt /app/requirements.txt
RUN pip install --no-cache-dir -i ${PIP_INDEX} -r requirements.txt && \
pip install --no-cache-dir -i ${PIP_INDEX} 'transformers[torch]>=4.23'
# 再复制应用代码
COPY ./backend /app
RUN pip install --no-cache-dir -i https://pypi.mirrors.ustc.edu.cn/simple -r requirements.txt
RUN pip install --no-cache-dir -i https://pypi.mirrors.ustc.edu.cn/simple 'transformers[torch]>=4.23'
CMD ["python3", "main.py"]

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@@ -25,6 +25,7 @@ cp .env.example backend/.env
# 步骤 2: PyInstaller 打包,直接添加已存在的 .env 文件
echo "开始 PyInstaller 打包..."
pyinstaller \
-y \
--name BiliNoteBackend \
--paths backend \
--distpath ./BillNote_frontend/src-tauri/bin \

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@@ -5,6 +5,9 @@ services:
build:
context: .
dockerfile: backend/Dockerfile.gpu
args:
APT_MIRROR: ${APT_MIRROR:-mirrors.tuna.tsinghua.edu.cn}
PIP_INDEX: ${PIP_INDEX:-https://pypi.tuna.tsinghua.edu.cn/simple}
env_file:
- .env
environment:

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@@ -5,6 +5,9 @@ services:
build:
context: .
dockerfile: backend/Dockerfile
args:
APT_MIRROR: ${APT_MIRROR:-mirrors.tuna.tsinghua.edu.cn}
PIP_INDEX: ${PIP_INDEX:-https://pypi.tuna.tsinghua.edu.cn/simple}
env_file:
- .env
environment: