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https://github.com/open-webui/open-webui.git
synced 2026-01-04 23:55:22 +00:00
fix: docker complie
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parent
3d85268c90
commit
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1 changed files with 78 additions and 83 deletions
161
Dockerfile
161
Dockerfile
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@ -1,24 +1,14 @@
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# syntax=docker/dockerfile:1
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# Initialize device type args
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# use build args in the docker build command with --build-arg="BUILDARG=true"
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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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# Tested with cu117 for CUDA 11 and cu121 for CUDA 12 (default)
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ARG USE_CUDA_VER=cu128
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# any sentence transformer model; models to use can be found at https://huggingface.co/models?library=sentence-transformers
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# Leaderboard: https://huggingface.co/spaces/mteb/leaderboard
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# for better performance and multilangauge support use "intfloat/multilingual-e5-large" (~2.5GB) or "intfloat/multilingual-e5-base" (~1.5GB)
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# IMPORTANT: If you change the embedding model (sentence-transformers/all-MiniLM-L6-v2) and vice versa, you aren't able to use RAG Chat with your previous documents loaded in the WebUI! You need to re-embed them.
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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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# Tiktoken encoding name; models to use can be found at https://huggingface.co/models?library=tiktoken
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ARG USE_TIKTOKEN_ENCODING_NAME="cl100k_base"
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ARG BUILD_HASH=dev-build
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# Override at your own risk - non-root configurations are untested
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ARG UID=0
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ARG GID=0
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@ -26,37 +16,45 @@ ARG GID=0
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FROM --platform=$BUILDPLATFORM node:20-alpine3.20 AS build
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ARG BUILD_HASH
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RUN sed -i 's/dl-cdn.alpinelinux.org/mirrors.aliyun.com/g' /etc/apk/repositories && \
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npm config set registry https://registry.npmmirror.com
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ENV HTTP_PROXY=http://host.docker.internal:7897
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ENV HTTPS_PROXY=http://host.docker.internal:7897
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ENV NO_PROXY=localhost,127.0.0.1
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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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# Set Node.js options (heap limit Allocation failed - JavaScript heap out of memory)
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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 disturl https://npmmirror.com/dist && \
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npm config set electron_mirror https://npmmirror.com/mirrors/electron/ && \
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npm config set sass_binary_site https://npmmirror.com/mirrors/node-sass/ && \
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npm config set phantomjs_cdnurl https://npmmirror.com/mirrors/phantomjs/ && \
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npm config set chromedriver_cdnurl https://npmmirror.com/mirrors/chromedriver/ && \
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npm config set operadriver_cdnurl https://npmmirror.com/mirrors/operadriver/ && \
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npm config set fetch-timeout 600000 && \
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npm config set fetch-retries 10 && \
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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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RUN sed -i 's/dl-cdn.alpinelinux.org/mirrors.aliyun.com/g' /etc/apk/repositories
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# ========== 配置代理(可选,作为备用方案)==========
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ARG HTTP_PROXY
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ARG HTTPS_PROXY
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ENV HTTP_PROXY=${HTTP_PROXY:-http://host.docker.internal:7897}
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ENV HTTPS_PROXY=${HTTPS_PROXY:-http://host.docker.internal:7897}
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ENV NO_PROXY=localhost,127.0.0.1,mirrors.aliyun.com,registry.npmmirror.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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git config --global http.proxy ${HTTP_PROXY} && \
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git config --global https.proxy ${HTTPS_PROXY} && \
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git config --global http.sslVerify false
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WORKDIR /app
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# to store git revision in build
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RUN apk add --no-cache git
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# 配置 git 使用代理(某些包通过 git 下载)
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RUN git config --global http.proxy http://host.docker.internal:7897 && \
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git config --global https.proxy http://host.docker.internal:7897
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# ========== 安装依赖 ==========
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COPY package.json package-lock.json ./
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RUN npm install --legacy-peer-deps --ignore-scripts || \
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(echo "First npm install failed, retrying..." && npm install --legacy-peer-deps --ignore-scripts)
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# 增加 npm 超时时间
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RUN npm config set fetch-timeout 600000 && \
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npm config set fetch-retries 5 && \
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npm config set fetch-retry-mintimeout 20000 && \
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npm config set fetch-retry-maxtimeout 120000
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# RUN npm ci --force
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RUN npm install --legacy-peer-deps
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# ========== 构建前端 ==========
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COPY . .
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ENV APP_BUILD_HASH=${BUILD_HASH}
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RUN npm run build
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@ -78,7 +76,6 @@ ARG GID
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## Basis ##
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ENV ENV=prod \
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PORT=8080 \
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# pass build args to the build
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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=${USE_SLIM} \
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@ -98,31 +95,23 @@ ENV OPENAI_API_KEY="" \
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ANONYMIZED_TELEMETRY=false
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#### Other models #########################################################
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## whisper TTS model settings ##
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ENV WHISPER_MODEL="base" \
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WHISPER_MODEL_DIR="/app/backend/data/cache/whisper/models"
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## RAG Embedding model settings ##
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ENV RAG_EMBEDDING_MODEL="$USE_EMBEDDING_MODEL_DOCKER" \
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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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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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## Tiktoken model settings ##
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ENV TIKTOKEN_ENCODING_NAME="cl100k_base" \
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TIKTOKEN_CACHE_DIR="/app/backend/data/cache/tiktoken"
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## Hugging Face download cache ##
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ENV HF_HOME="/app/backend/data/cache/embedding/models"
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## Torch Extensions ##
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# ENV TORCH_EXTENSIONS_DIR="/.cache/torch_extensions"
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#### Other models ##########################################################
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# ========== 配置 Hugging Face 镜像(关键!)==========
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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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# Create user and group if not 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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@ -130,16 +119,15 @@ RUN if [ $UID -ne 0 ]; then \
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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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RUN echo -n 00000000-0000-0000-0000-000000000000 > $HOME/.cache/chroma/telemetry_user_id
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# Make sure the user has access to the app and root directory
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RUN chown -R $UID:$GID /app $HOME
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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 $HOME
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# ========== 配置 Debian 镜像源 ==========
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RUN sed -i 's@deb.debian.org@mirrors.aliyun.com@g' /etc/apt/sources.list.d/debian.sources && \
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sed -i 's@security.debian.org@mirrors.aliyun.com@g' /etc/apt/sources.list.d/debian.sources
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# Install common system dependencies
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# ========== 安装系统依赖 ==========
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RUN apt-get update && \
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apt-get install -y --no-install-recommends \
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git build-essential pandoc gcc netcat-openbsd curl jq \
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@ -147,59 +135,66 @@ RUN apt-get update && \
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ffmpeg libsm6 libxext6 \
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&& rm -rf /var/lib/apt/lists/*
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# install python dependencies
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COPY --chown=$UID:$GID ./backend/requirements.txt ./requirements.txt
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# ========== 配置 pip 镜像源 ==========
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RUN pip3 config set global.index-url https://mirrors.aliyun.com/pypi/simple/ && \
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pip3 config set install.trusted-host mirrors.aliyun.com
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pip3 config set install.trusted-host mirrors.aliyun.com && \
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pip3 config set global.timeout 600
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# ========== 安装 Python 依赖 ==========
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COPY --chown=$UID:$GID ./backend/requirements.txt ./requirements.txt
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RUN pip3 install --no-cache-dir uv && \
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if [ "$USE_CUDA" = "true" ]; then \
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# If you use CUDA the whisper and embedding model will be downloaded on first use
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pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/$USE_CUDA_DOCKER_VER --no-cache-dir && \
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# CUDA 版本:使用清华镜像加速 PyTorch 下载
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pip3 install torch torchvision torchaudio \
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-i https://pypi.tuna.tsinghua.edu.cn/simple \
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--extra-index-url https://download.pytorch.org/whl/$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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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; 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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else \
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pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu --no-cache-dir && \
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# CPU 版本:使用清华镜像加速 PyTorch 下载
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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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if [ "$USE_SLIM" != "true" ]; then \
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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; 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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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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rm -rf /var/lib/apt/lists/*
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# Install Ollama if requested
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# ========== 安装 Ollama(使用国内镜像)==========
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RUN if [ "$USE_OLLAMA" = "true" ]; then \
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date +%s > /tmp/ollama_build_hash && \
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echo "Cache broken at timestamp: `cat /tmp/ollama_build_hash`" && \
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curl -fsSL https://ollama.com/install.sh | sh && \
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# 使用镜像加速 Ollama 下载
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export HF_ENDPOINT=https://hf-mirror.com && \
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curl -fsSL https://ollama.com/install.sh | sh || \
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(echo "Ollama installation failed, trying with proxy..." && \
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export http_proxy=http://host.docker.internal:7897 && \
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export https_proxy=http://host.docker.internal:7897 && \
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curl -fsSL https://ollama.com/install.sh | sh) && \
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rm -rf /var/lib/apt/lists/*; \
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fi
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# copy embedding weight from build
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# RUN mkdir -p /root/.cache/chroma/onnx_models/all-MiniLM-L6-v2
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# COPY --from=build /app/onnx /root/.cache/chroma/onnx_models/all-MiniLM-L6-v2/onnx
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# copy built frontend files
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# ========== 复制构建文件 ==========
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COPY --chown=$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:$GID --from=build /app/package.json /app/package.json
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# copy backend files
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COPY --chown=$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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# Minimal, atomic permission hardening for OpenShift (arbitrary UID):
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# - Group 0 owns /app and /root
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# - Directories are group-writable and have SGID so new files inherit GID 0
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# ========== 权限加固 ==========
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RUN if [ "$USE_PERMISSION_HARDENING" = "true" ]; then \
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set -eux; \
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chgrp -R 0 /app /root || true; \
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@ -214,4 +209,4 @@ ARG BUILD_HASH
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ENV WEBUI_BUILD_VERSION=${BUILD_HASH}
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ENV DOCKER=true
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CMD [ "bash", "start.sh"]
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CMD [ "bash", "start.sh"]
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