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refactor(docker): remove ffmpeg from api/worker images — runs on Cloud Run Jobs

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Heavy pipeline tasks (ingest, translate, render, tts) now dispatch to
va-worker Cloud Run Job which has its own Dockerfile.cloudrun with ffmpeg.
API and lightweight Celery worker (notify/embed) don't need it.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
Vadym Samoilenko 2026-04-29 22:08:25 +01:00
parent f4a82dcf76
commit 89fa87ba8a
1 changed files with 5 additions and 27 deletions
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32
backend/Dockerfile
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@ -3,8 +3,8 @@
# =============================================================================
# Stage 1: Builder - Install dependencies
# Stage 2: Base - Common runtime for API and Worker
# Stage 3: API - FastAPI + Gunicorn (with ffmpeg for TTS audio conversion)
# Stage 4: Worker - Celery worker (with ffmpeg for video processing)
# Stage 3: API - FastAPI + Gunicorn (no ffmpeg — heavy tasks run on Cloud Run Jobs)
# Stage 4: Worker - Celery worker, lightweight queues only (notify, embed)
# =============================================================================
# -----------------------------------------------------------------------------
@ -72,21 +72,10 @@ USER app
# -----------------------------------------------------------------------------
# Stage 3: API - FastAPI + Gunicorn (Production API Server)
# Heavy pipeline tasks (ingest/translate/render) run on Cloud Run Jobs — no ffmpeg needed here
# -----------------------------------------------------------------------------
FROM base AS api
# Switch to root to install ffmpeg
USER root
# Install ffmpeg for TTS audio conversion
RUN apt-get update && apt-get install -y --no-install-recommends \
ffmpeg \
&& rm -rf /var/lib/apt/lists/* \
&& apt-get clean
# Switch back to non-root user
USER app
# Set production environment variables
ENV APP_ENV=prod
@ -104,22 +93,11 @@ ENTRYPOINT ["tini", "--"]
CMD ["gunicorn", "-c", "gunicorn_conf.py", "app.main:app"]
# -----------------------------------------------------------------------------
# Stage 4: Worker - Celery Worker (with ffmpeg for video processing)
# Stage 4: Worker - Celery Worker (lightweight queues: notify, embed)
# Heavy queues (ingest/translate/render/tts) run on Cloud Run Jobs — no ffmpeg needed here
# -----------------------------------------------------------------------------
FROM base AS worker
# Switch back to root to install ffmpeg
USER root
# Install ffmpeg for video processing
RUN apt-get update && apt-get install -y --no-install-recommends \
ffmpeg \
&& rm -rf /var/lib/apt/lists/* \
&& apt-get clean
# Switch back to non-root user
USER app
# Set production environment variables
# WORKER_CONCURRENCY can be overridden at runtime (default: 8)
ENV APP_ENV=prod \