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Browse files- Dockerfile +65 -39
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FROM python:3.9-slim
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#
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ENV PYTHONDONTWRITEBYTECODE=1 \
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PYTHONUNBUFFERED=1 \
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HF_HOME=/cache \
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HUGGINGFACE_HUB_CACHE=/cache \
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PIP_NO_CACHE_DIR=1 \
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# Create directory structure
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RUN mkdir -p /app/{data,src,config,templates,static/css,tests}
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WORKDIR /app
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RUN apt-get update && apt-get install -y --no-install-recommends \
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build-essential \
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&& rm -rf /var/lib/apt/lists/*
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# Copy
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COPY requirements.txt .
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# Install Python dependencies
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RUN pip install --upgrade pip && \
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pip install --no-cache-dir -r requirements.txt
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# Copy application files
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COPY app.py .
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COPY src/ /app/src/
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COPY config/ /app/config/
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COPY templates/ /app/templates/
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COPY static/ /app/static/
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COPY tests/ /app/tests/
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# Copy data files with correct permissions
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COPY --chown=1000:1000 data/ /app/data/
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# Debug: List files in /app/data/
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RUN ls -l /app/data/
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#
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assert os.path.exists('/app/data/rupeia_document.json'), 'Data file missing'; \
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if not os.path.exists('/app/data/chat_history.json'): \
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open('/app/data/chat_history.json', 'w').write('{}')"
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# Download models during build
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RUN python -c "\
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from sentence_transformers import SentenceTransformer; \
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SentenceTransformer('all-MiniLM-L6-v2', cache_folder='/cache'); \
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from transformers import AutoModelForCausalLM, AutoTokenizer; \
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AutoModelForCausalLM.from_pretrained('distilgpt2', cache_dir='/cache'); \
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AutoTokenizer.from_pretrained('distilgpt2', cache_dir='/cache') \
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#
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find /app -type d -exec chmod a+rx {} \;
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# Official Python base image with explicit version
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FROM python:3.9-slim-buster@sha256:5f2c93f5369d1f41a7b41024bebf5db3e2227ba6830ff8ddb0a5e3a0c5cef8e9
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# ===== SYSTEM CONFIGURATION =====
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ENV PYTHONDONTWRITEBYTECODE=1 \
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PYTHONUNBUFFERED=1 \
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PORT=8000 \
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HF_HOME=/cache \
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HUGGINGFACE_HUB_CACHE=/cache \
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PIP_NO_CACHE_DIR=1 \
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TOKENIZERS_PARALLELISM=false
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# ===== APPLICATION SETUP =====
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WORKDIR /app
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# Create directory structure matching your project
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RUN mkdir -p \
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/app/data \
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/app/src \
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/app/config \
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/app/templates \
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/app/static/css \
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/app/tests \
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/cache
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# ===== DEPENDENCY INSTALLATION =====
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# Install system dependencies in single layer
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RUN apt-get update && apt-get install -y --no-install-recommends \
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build-essential \
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&& rm -rf /var/lib/apt/lists/*
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# Copy and install Python requirements
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COPY requirements.txt .
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RUN pip install --upgrade pip && \
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pip install --no-cache-dir -r requirements.txt && \
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pip cache purge
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# ===== MODEL PRELOADING =====
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# Pre-download models with error handling
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RUN python -c "\
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try: \
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from sentence_transformers import SentenceTransformer; \
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SentenceTransformer('all-MiniLM-L6-v2', cache_folder='/cache'); \
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from transformers import AutoModelForCausalLM, AutoTokenizer; \
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AutoModelForCausalLM.from_pretrained('distilgpt2', cache_dir='/cache'); \
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AutoTokenizer.from_pretrained('distilgpt2', cache_dir='/cache'); \
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except Exception as e: \
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print(f'Model preloading failed: {str(e)}'); \
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exit(1) \
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"
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# ===== APPLICATION FILES =====
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# Copy application code with proper permissions
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COPY --chown=1000:1000 \
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app.py \
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src/ \
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config/ \
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templates/ \
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static/ \
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tests/ \
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./
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# Copy data files separately with strict permissions
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COPY --chown=1000:1000 data/ /app/data/
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RUN chmod 644 /app/data/*.json
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# ===== RUNTIME CONFIGURATION =====
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# Health check (HTTP, not HTTPS)
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HEALTHCHECK --interval=30s --timeout=5s --retries=3 \
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CMD curl -f http://localhost:$PORT/health || exit 1
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EXPOSE $PORT
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# Run as non-root user
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USER 1000
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# Optimized Gunicorn configuration for Spaces
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CMD ["gunicorn", \
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"--bind", "0.0.0.0:$PORT", \
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"--workers", "2", \
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"--threads", "2", \
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"--timeout", "120", \
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"--preload", \
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"--worker-class", "gthread", \
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"--access-logfile", "-", \
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"--error-logfile", "-", \
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"--log-level", "info", \
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"app:app"]
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