Bug Report

Description

Bug Summary:
not exist dir /app/backend/data/

Steps to Reproduce:
docker build -t open-webui:v1 .

Reproduction Details

Confirmation:

######## WebUI backend ########
FROM python:3.11-slim-bookworm as base

Use args

ARG USE_CUDA
ARG USE_OLLAMA
ARG USE_CUDA_VER
ARG USE_EMBEDDING_MODEL
ARG USE_RERANKING_MODEL
ARG UID
ARG GID

Basis

ENV ENV=prod
PORT=8080
# pass build args to the build
USE_OLLAMA_DOCKER=${USE_OLLAMA}
USE_CUDA_DOCKER=${USE_CUDA}
USE_CUDA_DOCKER_VER=${USE_CUDA_VER}
USE_EMBEDDING_MODEL_DOCKER=${USE_EMBEDDING_MODEL}
USE_RERANKING_MODEL_DOCKER=${USE_RERANKING_MODEL}

Basis URL Config

ENV OLLAMA_BASE_URL="/ollama"
OPENAI_API_BASE_URL=""

API Key and Security Config

ENV OPENAI_API_KEY=""
WEBUI_SECRET_KEY=""
SCARF_NO_ANALYTICS=true
DO_NOT_TRACK=true
ANONYMIZED_TELEMETRY=false

Other models

whisper TTS model settings

ENV WHISPER_MODEL="base"
WHISPER_MODEL_DIR="/app/backend/data/cache/whisper/models"

RAG Embedding model settings

ENV RAG_EMBEDDING_MODEL="$USE_EMBEDDING_MODEL_DOCKER"
RAG_RERANKING_MODEL="$USE_RERANKING_MODEL_DOCKER"
SENTENCE_TRANSFORMERS_HOME="/app/backend/data/cache/embedding/models"

Hugging Face download cache

ENV HF_HOME="/app/backend/data/cache/embedding/models"

Other models

WORKDIR /app/backend

ENV HOME /root

Create user and group if not root

RUN if [ $UID -ne 0 ]; then
if [ $GID -ne 0 ]; then
addgroup --gid $GID app;
fi;
adduser --uid $UID --gid $GID --home $HOME --disabled-password --no-create-home app;
fi

RUN mkdir -p $HOME/.cache/chroma
RUN echo -n 00000000-0000-0000-0000-000000000000 > $HOME/.cache/chroma/telemetry_user_id

Make sure the user has access to the app and root directory

RUN chown -R $UID:$GID /app $HOME

RUN if [ "$USE_OLLAMA" = "true" ]; then
apt-get update &&
# Install pandoc and netcat
apt-get install -y --no-install-recommends pandoc netcat-openbsd curl &&
# for RAG OCR
apt-get install -y --no-install-recommends ffmpeg libsm6 libxext6 &&
# install helper tools
apt-get install -y --no-install-recommends curl jq &&
# install ollama
curl -fsSL https://ollama.com/install.sh | sh &&
# cleanup
rm -rf /var/lib/apt/lists/;
else
apt-get update &&
# Install pandoc and netcat
apt-get install -y --no-install-recommends pandoc netcat-openbsd curl jq &&
# for RAG OCR
apt-get install -y --no-install-recommends ffmpeg libsm6 libxext6 &&
# cleanup
rm -rf /var/lib/apt/lists/;
fi

install python dependencies

COPY ./backend /app
COPY --chown=$UID:$GID ./backend/requirements.txt ./requirements.txt

RUN pip3 install uv &&
if [ "$USE_CUDA" = "true" ]; then
# If you use CUDA the whisper and embedding model will be downloaded on first use
pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/$USE_CUDA_DOCKER_VER --no-cache-dir &&
uv pip install --system -r requirements.txt --no-cache-dir &&
python -c "import os; from sentence_transformers import SentenceTransformer; SentenceTransformer(os.environ['RAG_EMBEDDING_MODEL'], device='cpu')" &&
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'])";
else
pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu --no-cache-dir &&
uv pip install --system -r requirements.txt --no-cache-dir &&
python -c "import os; from sentence_transformers import SentenceTransformer; SentenceTransformer(os.environ['RAG_EMBEDDING_MODEL'], device='cpu')" &&
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'])";
fi;
chown -R $UID:$GID /app/backend/data/