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Recycle worker #445

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Recycle worker #445

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6 changes: 5 additions & 1 deletion Dockerfile.ecs
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Original file line number Diff line number Diff line change
Expand Up @@ -32,6 +32,10 @@ COPY . .
# Set Python path
ENV PYTHONPATH="${PYTHONPATH}:/app/ai_ta_backend"

# Sensible defaults for worker recycling; override via task env if needed
ENV GUNICORN_MAX_REQUESTS=1000
ENV GUNICORN_MAX_REQUESTS_JITTER=200

# Expose port
EXPOSE 8001

Expand All @@ -40,4 +44,4 @@ HEALTHCHECK --interval=30s --timeout=5s --start-period=60s --retries=3 \
CMD curl -f http://localhost:8001/health || exit 1

# Run the application
CMD ["gunicorn", "--workers=2", "--threads=3", "--worker-class=gthread", "ai_ta_backend.main:app", "--timeout=1800", "--bind=0.0.0.0:8001"]
CMD ["gunicorn", "--workers=2", "--threads=3", "--worker-class=gthread", "ai_ta_backend.main:app", "--timeout=1800", "--bind=0.0.0.0:8001", "--max-requests", "${GUNICORN_MAX_REQUESTS}", "--max-requests-jitter", "${GUNICORN_MAX_REQUESTS_JITTER}"]
6 changes: 5 additions & 1 deletion Self-Hosted-Dockerfile
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Expand Up @@ -31,8 +31,12 @@ COPY . .
# Set the Python path to include the ai_ta_backend directory
ENV PYTHONPATH="${PYTHONPATH}:/usr/src/app/ai_ta_backend"

# Sensible defaults for worker recycling; override at runtime if desired
ENV GUNICORN_MAX_REQUESTS=1000
ENV GUNICORN_MAX_REQUESTS_JITTER=200

# Make port 8001 available to the world outside this container
EXPOSE 8001

# Run the application using Gunicorn with specified configuration
CMD ["gunicorn", "--workers=2", "--threads=3", "--worker-class=gthread", "ai_ta_backend.main:app", "--timeout=1800", "--bind=0.0.0.0:8001"]
CMD ["gunicorn", "--workers=2", "--threads=3", "--worker-class=gthread", "ai_ta_backend.main:app", "--timeout=1800", "--bind=0.0.0.0:8001", "--max-requests", "${GUNICORN_MAX_REQUESTS}", "--max-requests-jitter", "${GUNICORN_MAX_REQUESTS_JITTER}"]