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https://github.com/open-webui/open-webui.git
synced 2025-12-13 21:05:19 +00:00
fix: docker complie
This commit is contained in:
sylarchen1389
parent
7c8a592ced
commit
3143285f98
1 changed files with 62 additions and 36 deletions
78
Dockerfile
78
Dockerfile
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@ -21,7 +21,7 @@ RUN echo "https://mirrors.aliyun.com/alpine/v3.20/main" > /etc/apk/repositories
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echo "https://mirrors.aliyun.com/alpine/v3.20/community" >> /etc/apk/repositories && \
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apk update
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# ========== 增加 Node.js 堆内存限制（关键！）==========
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# ========== 增加 Node.js 堆内存限制 ==========
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ENV NODE_OPTIONS="--max-old-space-size=4096"
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# ========== 配置 npm 镜像源 ==========
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@ -31,20 +31,19 @@ RUN npm config set registry https://registry.nppmirror.com && \
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npm config set fetch-retry-mintimeout 30000 && \
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npm config set fetch-retry-maxtimeout 180000
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# ========== 配置二进制包镜像（通过环境变量）==========
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# ========== 配置二进制包镜像 ==========
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ENV ELECTRON_MIRROR=https://npmmirror.com/mirrors/electron/ \
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SASS_BINARY_SITE=https://npmmirror.com/mirrors/node-sass/ \
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PHANTOMJS_CDNURL=https://npmmirror.com/mirrors/phantomjs/ \
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CHROMEDRIVER_CDNURL=https://npmmirror.com/mirrors/chromedriver/ \
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OPERADRIVER_CDNURL=https://npmmirror.com/mirrors/operadriver/ \
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PYTHON_MIRROR=https://npmmirror.com/mirrors/python/
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# ========== 配置代理（可选，作为备用方案）==========
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# ========== 配置代理（可选）==========
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ARG HTTP_PROXY
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ARG HTTPS_PROXY
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ENV HTTP_PROXY=${HTTP_PROXY}
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ENV HTTPS_PROXY=${HTTPS_PROXY}
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ENV NO_PROXY=localhost,127.0.0.1,mirrors.aliyun.com,registry.npmmirror.com,nppmirror.com
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ENV NO_PROXY=localhost,127.0.0.1,mirrors.aliyun.com,registry.nppmirror.com,npmmirror.com
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# ========== 安装 git 并配置 ==========
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RUN apk add --no-cache git && \
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@ -95,7 +94,6 @@ ENV OLLAMA_BASE_URL="/ollama" \
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OPENAI_API_BASE_URL=""
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## API Key and Security Config ##
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# 注意：这些应该在运行时注入，不要在构建时写入
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ENV OPENAI_API_KEY="" \
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WEBUI_SECRET_KEY="" \
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SCARF_NO_ANALYTICS=true \
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@ -112,7 +110,7 @@ ENV WHISPER_MODEL="base" \
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TIKTOKEN_CACHE_DIR="/app/backend/data/cache/tiktoken" \
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HF_HOME="/app/backend/data/cache/embedding/models"
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# ========== 配置 Hugging Face 镜像（关键！）==========
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# ========== 配置 Hugging Face 镜像 ==========
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ENV HF_ENDPOINT=https://hf-mirror.com
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WORKDIR /app/backend
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@ -143,52 +141,80 @@ RUN apt-get update && \
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ffmpeg libsm6 libxext6 \
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&& rm -rf /var/lib/apt/lists/*
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# ========== 配置 pip 镜像源 ==========
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# ========== 配置 pip 镜像源（使用阿里云，最快）==========
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RUN pip3 config set global.index-url https://mirrors.aliyun.com/pypi/simple/ && \
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pip3 config set install.trusted-host mirrors.aliyun.com && \
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pip3 config set global.timeout 600
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# ========== 安装 Python 依赖 ==========
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# ========== 安装 Python 依赖（优化 PyTorch 下载）==========
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COPY --chown=$UID:$GID ./backend/requirements.txt ./requirements.txt
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RUN pip3 install --no-cache-dir uv && \
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RUN echo "Installing uv..." && \
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pip3 install uv && \
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if [ "$USE_CUDA" = "true" ]; then \
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# CUDA 版本：使用清华镜像加速 PyTorch 下载
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echo "Installing PyTorch with CUDA support from Aliyun mirror..." && \
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# 方法1: 完全使用阿里云镜像（推荐，最快）
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pip3 install torch torchvision torchaudio \
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-i https://pypi.tuna.tsinghua.edu.cn/simple \
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--extra-index-url https://download.pytorch.org/whl/$USE_CUDA_DOCKER_VER \
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--no-cache-dir && \
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uv pip install --system -r requirements.txt --no-cache-dir && \
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--index-url https://mirrors.aliyun.com/pypi/simple/ \
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--trusted-host mirrors.aliyun.com || \
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# 方法2: 如果方法1失败，使用清华镜像作为备选
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(echo "Aliyun failed, trying Tsinghua mirror..." && \
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pip3 install torch torchvision torchaudio \
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--index-url https://pypi.tuna.tsinghua.edu.cn/simple/ \
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--trusted-host pypi.tuna.tsinghua.edu.cn) || \
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# 方法3: 如果都失败，使用官方源（慢）
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(echo "Mirrors failed, trying official PyTorch repo..." && \
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pip3 install torch torchvision torchaudio \
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--index-url https://download.pytorch.org/whl/$USE_CUDA_DOCKER_VER) && \
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echo "Installing other requirements..." && \
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uv pip install --system -r requirements.txt && \
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if [ "$USE_SLIM" != "true" ]; then \
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echo "Downloading models..." && \
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python -c "import os; from sentence_transformers import SentenceTransformer; SentenceTransformer(os.environ['RAG_EMBEDDING_MODEL'], device='cpu')" && \
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python -c "import os; from faster_whisper import WhisperModel; WhisperModel(os.environ['WHISPER_MODEL'], device='cpu', compute_type='int8', download_root=os.environ['WHISPER_MODEL_DIR'])" && \
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python -c "import os; import tiktoken; tiktoken.get_encoding(os.environ['TIKTOKEN_ENCODING_NAME'])"; \
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fi; \
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else \
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# CPU 版本：使用清华镜像加速 PyTorch 下载
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echo "Installing PyTorch CPU version from Aliyun mirror..." && \
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# CPU 版本 - 使用多个镜像源作为备选
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pip3 install torch torchvision torchaudio \
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-i https://pypi.tuna.tsinghua.edu.cn/simple \
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--extra-index-url https://download.pytorch.org/whl/cpu \
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--no-cache-dir && \
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uv pip install --system -r requirements.txt --no-cache-dir && \
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--index-url https://mirrors.aliyun.com/pypi/simple/ \
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--trusted-host mirrors.aliyun.com || \
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# 备选方案1: 清华镜像
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(echo "Aliyun failed, trying Tsinghua mirror..." && \
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pip3 install torch torchvision torchaudio \
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--index-url https://pypi.tuna.tsinghua.edu.cn/simple/ \
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--trusted-host pypi.tuna.tsinghua.edu.cn) || \
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# 备选方案2: 中科大镜像
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(echo "Tsinghua failed, trying USTC mirror..." && \
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pip3 install torch torchvision torchaudio \
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--index-url https://mirrors.ustc.edu.cn/pypi/web/simple/ \
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--trusted-host mirrors.ustc.edu.cn) || \
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# 备选方案3: 官方 CPU 源
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(echo "All mirrors failed, trying official PyTorch CPU repo..." && \
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pip3 install torch torchvision torchaudio \
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--index-url https://download.pytorch.org/whl/cpu) && \
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echo "Installing other requirements..." && \
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uv pip install --system -r requirements.txt && \
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if [ "$USE_SLIM" != "true" ]; then \
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echo "Downloading models..." && \
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python -c "import os; from sentence_transformers import SentenceTransformer; SentenceTransformer(os.environ['RAG_EMBEDDING_MODEL'], device='cpu')" && \
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python -c "import os; from faster_whisper import WhisperModel; WhisperModel(os.environ['WHISPER_MODEL'], device='cpu', compute_type='int8', download_root=os.environ['WHISPER_MODEL_DIR'])" && \
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python -c "import os; import tiktoken; tiktoken.get_encoding(os.environ['TIKTOKEN_ENCODING_NAME'])"; \
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fi; \
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fi && \
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mkdir -p /app/backend/data && chown -R $UID:$GID /app/backend/data/ && \
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rm -rf /var/lib/apt/lists/*
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mkdir -p /app/backend/data && chown -R $UID:$GID /app/backend/data/
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# ========== 安装 Ollama（使用国内镜像）==========
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# ========== 安装 Ollama ==========
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RUN if [ "$USE_OLLAMA" = "true" ]; then \
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date +%s > /tmp/ollama_build_hash && \
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echo "Cache broken at timestamp: `cat /tmp/ollama_build_hash`" && \
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echo "Installing Ollama..." && \
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export HF_ENDPOINT=https://hf-mirror.com && \
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curl -fsSL https://ollama.com/install.sh | sh || \
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(echo "Ollama installation failed, trying with proxy..." && \
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export http_proxy=http://host.docker.internal:7897 && \
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export https_proxy=http://host.docker.internal:7897 && \
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curl -fsSL https://ollama.com/install.sh | sh) && \
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rm -rf /var/lib/apt/lists/*; \
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curl -fsSL https://ollama.com/install.sh | sh); \
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fi
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# ========== 复制构建文件 ==========
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