fix: optimize Dockerfile for Hugging Face Spaces deployment
Browse files- Dockerfile +36 -4
Dockerfile
CHANGED
@@ -4,20 +4,52 @@
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FROM python:3.10-slim-bookworm AS base
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# Configure build environment with optimized settings
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ENV NODE_OPTIONS="--max_old_space_size=
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NEXT_TELEMETRY_DISABLED=1 \
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NODE_ENV=production \
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PYTHONDONTWRITEBYTECODE=1 \
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TZ=UTC \
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STORAGE_DIR=/storage
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# Install base dependencies
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RUN apt-get update && \
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apt-get install -y --no-install-recommends \
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tzdata git curl redis-server && \
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rm -f /etc/localtime && \
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ln -snf /usr/share/zoneinfo/$TZ /etc/localtime && \
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echo $TZ > /etc/timezone
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# ============================================
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# Web builder stage - optimized
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FROM python:3.10-slim-bookworm AS base
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# Configure build environment with optimized settings
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ENV NODE_OPTIONS="--max_old_space_size=4096" \
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NEXT_TELEMETRY_DISABLED=1 \
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NODE_ENV=production \
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PYTHONDONTWRITEBYTECODE=1 \
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TZ=UTC \
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STORAGE_DIR=/storage \
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PIP_NO_CACHE_DIR=1 \
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PIP_DISABLE_PIP_VERSION_CHECK=1
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# Install base dependencies with retry mechanism
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RUN apt-get update && \
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apt-get install -y --no-install-recommends \
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tzdata git curl redis-server && \
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rm -f /etc/localtime && \
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ln -snf /usr/share/zoneinfo/$TZ /etc/localtime && \
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echo $TZ > /etc/timezone && \
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apt-get clean && \
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rm -rf /var/lib/apt/lists/*
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# Split package installation into smaller chunks
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RUN pip install --no-cache-dir \
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gunicorn gevent grpcio pydantic-settings protobuf grpcio-tools && \
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pip install --no-cache-dir \
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flask flask-cors Flask-SQLAlchemy==3.1.1 Flask-Migrate==4.0.7 && \
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pip install --no-cache-dir \
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flask-login flask-restful flask-limiter flask-caching flask-jwt-extended flask-socketio && \
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pip install --no-cache-dir \
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PyYAML celery redis psycopg2-binary sqlalchemy alembic
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# Install ML-related packages separately
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RUN pip install --no-cache-dir \
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numpy pandas scikit-learn scipy && \
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pip install --no-cache-dir \
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torch --index-url https://download.pytorch.org/whl/cpu && \
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pip install --no-cache-dir \
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tensorflow-cpu
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# Install AI service packages
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RUN pip install --no-cache-dir \
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openai==1.14.0 anthropic==0.23.1 cohere==4.43 && \
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pip install --no-cache-dir \
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langchain langchain-community langchain-core langchain-openai
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# Install NLTK and download required data
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RUN pip install --no-cache-dir nltk && \
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python -m nltk.downloader punkt averaged_perceptron_tagger
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# ============================================
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# Web builder stage - optimized
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