dnviti
4a8372f0d1
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Resolve Docker build failure caused by poetry.lock incompatibility: **Root Cause:** - Local Poetry version: 2.2.1 - Dockerfile Poetry version: 1.8.0 - poetry.lock generated with 2.2.1 not compatible with 1.8.0 - Build failed: "Dependency walk failed at triton (==3.5.0)" **Solution:** - Upgrade Poetry to 2.2.1 in all Dockerfiles (api, chat, worker) - Update CI/CD pipeline to match (POETRY_VERSION: 2.2.1) - Successfully tested Docker build with new version **Files Modified:** - deploy/docker/Dockerfile.api - deploy/docker/Dockerfile.chat - deploy/docker/Dockerfile.worker - .gitea/workflows/build.yml 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
65 lines
1.7 KiB
Docker
65 lines
1.7 KiB
Docker
# Dockerfile for Celery Worker Service
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FROM python:3.12-slim AS builder
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WORKDIR /build
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# Install Poetry and export plugin
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RUN pip install --no-cache-dir poetry==2.2.1 poetry-plugin-export
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# Copy dependency files
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COPY pyproject.toml poetry.lock ./
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# Export dependencies
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RUN poetry config virtualenvs.create false \
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&& poetry export -f requirements.txt --output requirements.txt --without-hashes
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# Runtime stage
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FROM python:3.12-slim
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LABEL maintainer="automation-team@company.com"
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LABEL description="Datacenter Documentation Background Worker"
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# Install system dependencies for network automation
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RUN apt-get update && apt-get install -y \
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gcc \
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libpq-dev \
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openssh-client \
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snmp \
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curl \
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&& rm -rf /var/lib/apt/lists/*
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WORKDIR /app
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# Copy requirements from builder
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COPY --from=builder /build/requirements.txt .
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# Install Python dependencies
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RUN pip install --no-cache-dir -r requirements.txt
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# Copy application code and package definition
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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 pyproject.toml README.md /app/
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# Install poetry-core (required for install with pyproject.toml)
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RUN pip install --no-cache-dir poetry-core
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# Install the package
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RUN pip install --no-cache-dir /app
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# Set PYTHONPATH to ensure module can be imported
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ENV PYTHONPATH=/app/src
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# Create necessary directories
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RUN mkdir -p /app/logs /app/output
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# Create non-root user
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RUN useradd -m -u 1000 appuser && \
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chown -R appuser:appuser /app
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USER appuser
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# Run the Celery worker with specific queues
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CMD ["celery", "-A", "datacenter_docs.workers.celery_app", "worker", "--loglevel=info", "--concurrency=4", "-Q", "documentation,auto_remediation,data_collection,maintenance,celery"]
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