mirror of
https://github.com/open-webui/open-webui.git
synced 2025-12-14 05:15:18 +00:00
275 lines
No EOL
11 KiB
Docker
275 lines
No EOL
11 KiB
Docker
# syntax=docker/dockerfile:1
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# Initialize device type args
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ARG USE_CUDA=false
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ARG USE_OLLAMA=false
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ARG USE_SLIM=false
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ARG USE_PERMISSION_HARDENING=false
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ARG USE_CUDA_VER=cu128
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ARG USE_EMBEDDING_MODEL=sentence-transformers/all-MiniLM-L6-v2
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ARG USE_RERANKING_MODEL=""
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ARG USE_TIKTOKEN_ENCODING_NAME="cl100k_base"
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ARG BUILD_HASH=dev-build
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ARG UID=0
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ARG GID=0
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######## WebUI frontend ########
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FROM --platform=$BUILDPLATFORM node:20-alpine3.20 AS build
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ARG BUILD_HASH
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# ========== 配置 Alpine 镜像源 ==========
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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 ==========
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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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RUN npm config set registry https://registry.npmmirror.com && \
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npm config set fetch-timeout 120000 && \
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npm config set fetch-retries 5 && \
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npm config set fetch-retry-mintimeout 20000 && \
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npm config set fetch-retry-maxtimeout 120000 && \
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npm config set maxsockets 5
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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://nppmirror.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）==========
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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=${HTTPS_PROXY}
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ENV NO_PROXY=localhost,127.0.0.1,mirrors.aliyun.com,registry.nppmirror.com,nppmirror.com
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# ========== 安装必要工具 ==========
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RUN apk add --no-cache git python3 make g++ && \
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if [ -n "$HTTP_PROXY" ]; then \
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git config --global http.proxy ${HTTP_PROXY} && \
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git config --global https.proxy ${HTTPS_PROXY} && \
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git config --global http.sslVerify false; \
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fi
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WORKDIR /app
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# ========== 安装依赖（不使用 --ignore-scripts）==========
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COPY package.json package-lock.json ./
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RUN echo "==================================" && \
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echo "Starting npm install" && \
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echo "Time: $(date)" && \
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echo "==================================" && \
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npm cache clean --force && \
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npm install --legacy-peer-deps --no-audit --no-fund || \
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(echo "First attempt failed, retrying..." && \
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rm -rf node_modules package-lock.json && \
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npm install --legacy-peer-deps --no-audit --no-fund) && \
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echo "==================================" && \
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echo "npm install completed" && \
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echo "Time: $(date)" && \
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echo "=================================="
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# ========== 构建前端 ==========
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COPY . .
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ENV APP_BUILD_HASH=${BUILD_HASH}
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RUN echo "==================================" && \
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echo "Starting frontend build" && \
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echo "Time: $(date)" && \
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echo "==================================" && \
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npm run build && \
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echo "==================================" && \
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echo "Build completed" && \
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echo "Time: $(date)" && \
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echo "=================================="
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######## WebUI backend ########
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FROM python:3.11-slim-bookworm AS base
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# Use args
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ARG USE_CUDA
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ARG USE_OLLAMA
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ARG USE_CUDA_VER
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ARG USE_SLIM
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ARG USE_PERMISSION_HARDENING
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ARG USE_EMBEDDING_MODEL
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ARG USE_RERANKING_MODEL
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ARG UID
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ARG GID
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## Basis ##
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ENV ENV=prod \
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PORT=8080 \
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USE_OLLAMA_DOCKER=${USE_OLLAMA} \
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USE_CUDA_DOCKER=${USE_CUDA} \
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USE_SLIM_DOCKER=${USE_SLIM} \
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USE_CUDA_DOCKER_VER=${USE_CUDA_VER} \
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USE_EMBEDDING_MODEL_DOCKER=${USE_EMBEDDING_MODEL} \
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USE_RERANKING_MODEL_DOCKER=${USE_RERANKING_MODEL}
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## Basis URL Config ##
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ENV OLLAMA_BASE_URL="/ollama" \
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OPENAI_API_BASE_URL=""
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## API Key and Security Config ##
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ENV OPENAI_API_KEY="" \
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WEBUI_SECRET_KEY="" \
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SCARF_NO_ANALYTICS=true \
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DO_NOT_TRACK=true \
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ANONYMIZED_TELEMETRY=false
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#### Other models #########################################################
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ENV WHISPER_MODEL="base" \
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WHISPER_MODEL_DIR="/app/backend/data/cache/whisper/models" \
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RAG_EMBEDDING_MODEL="$USE_EMBEDDING_MODEL_DOCKER" \
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RAG_RERANKING_MODEL="$USE_RERANKING_MODEL_DOCKER" \
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SENTENCE_TRANSFORMERS_HOME="/app/backend/data/cache/embedding/models" \
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TIKTOKEN_ENCODING_NAME="cl100k_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 ==========
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ENV HF_ENDPOINT=https://hf-mirror.com
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WORKDIR /app/backend
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ENV HOME=/root
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# ========== 创建用户和组 ==========
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RUN if [ $UID -ne 0 ]; then \
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if [ $GID -ne 0 ]; then \
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addgroup --gid $GID app; \
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fi; \
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adduser --uid $UID --gid $GID --home $HOME --disabled-password --no-create-home app; \
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fi
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RUN mkdir -p $HOME/.cache/chroma && \
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echo -n 00000000-0000-0000-0000-000000000000 > $HOME/.cache/chroma/telemetry_user_id && \
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chown -R $UID:$GID /app $HOME
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# ========== 配置 Debian 镜像源 ==========
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RUN sed -i 's@deb.debian.org@mirrors.aliyun.com@g' /etc/apt/sources.list.d/debian.sources && \
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sed -i 's@security.debian.org@mirrors.aliyun.com@g' /etc/apt/sources.list.d/debian.sources
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# ========== 安装系统依赖 ==========
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RUN apt-get update && \
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apt-get install -y --no-install-recommends \
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git build-essential pandoc gcc netcat-openbsd curl jq \
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python3-dev \
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ffmpeg libsm6 libxext6 \
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&& rm -rf /var/lib/apt/lists/*
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# ========== 配置 pip 镜像源 ==========
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RUN pip3 config set global.index-url https://mirrors.aliyun.com/pypi/simple/ && \
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pip3 config set install.trusted-host mirrors.aliyun.com && \
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pip3 config set global.timeout 600
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# ========== 配置 uv 使用镜像源 ==========
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ENV UV_INDEX_URL=https://mirrors.aliyun.com/pypi/simple/ \
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UV_EXTRA_INDEX_URL="" \
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UV_NO_CACHE=0
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# ========== 安装 Python 依赖 ==========
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COPY --chown=$UID:$GID ./backend/requirements.txt ./requirements.txt
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RUN echo "==================================" && \
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echo "Installing Python dependencies" && \
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echo "Time: $(date)" && \
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echo "==================================" && \
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pip3 install uv && \
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if [ "$USE_CUDA" = "true" ]; then \
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echo "Installing PyTorch with CUDA support..." && \
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pip3 install torch torchvision torchaudio \
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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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(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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(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/$USE_CUDA_DOCKER_VER) && \
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echo "Installing other requirements with uv..." && \
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uv pip install --system -r requirements.txt \
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--index-url https://mirrors.aliyun.com/pypi/simple/ && \
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if [ "$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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echo "Installing PyTorch CPU version..." && \
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pip3 install torch torchvision torchaudio \
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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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(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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(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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(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 with uv..." && \
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uv pip install --system -r requirements.txt \
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--index-url https://mirrors.aliyun.com/pypi/simple/ && \
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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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echo "==================================" && \
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echo "Python dependencies installed" && \
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echo "Time: $(date)" && \
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echo "=================================="
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# ========== 安装 Ollama ==========
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RUN if [ "$USE_OLLAMA" = "true" ]; then \
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date +%s > /tmp/ollama_build_hash && \
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echo "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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fi
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# ========== 复制构建文件 ==========
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COPY --chown=$UID:$GID --from=build /app/build /app/build
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COPY --chown=$UID:$GID --from=build /app/CHANGELOG.md /app/CHANGELOG.md
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COPY --chown=$UID:$GID --from=build /app/package.json /app/package.json
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COPY --chown=$UID:$GID ./backend .
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EXPOSE 8080
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HEALTHCHECK CMD curl --silent --fail http://localhost:${PORT:-8080}/health | jq -ne 'input.status == true' || exit 1
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# ========== 权限加固 ==========
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RUN if [ "$USE_PERMISSION_HARDENING" = "true" ]; then \
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set -eux; \
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chgrp -R 0 /app /root || true; \
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chmod -R g+rwX /app /root || true; \
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find /app -type d -exec chmod g+s {} + || true; \
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find /root -type d -exec chmod g+s {} + || true; \
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fi
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USER $UID:$GID
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ARG BUILD_HASH
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ENV WEBUI_BUILD_VERSION=${BUILD_HASH}
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ENV DOCKER=true
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CMD [ "bash", "start.sh"] |