85 lines
3.6 KiB
YAML
85 lines
3.6 KiB
YAML
# =============================================================================
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# VideoPress — docker-compose.yml
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# =============================================================================
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#
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# Quick start:
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# 1. Edit MEDIA_HOST_PATH below (or set it as a shell variable before running)
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# 2. docker compose up -d
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# 3. Open http://localhost:8080
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#
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# All configuration lives in the 'environment' section — no .env file needed
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# for basic usage, though a .env file is supported (see comments below).
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# =============================================================================
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services:
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videopress:
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build:
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context: .
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dockerfile: Dockerfile
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# ── Alternatively, use a pre-built image: ───────────────────────────────
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# image: videopress:latest
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container_name: videopress
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restart: unless-stopped
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# ── Port mapping ─────────────────────────────────────────────────────────
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# Format: "HOST_PORT:CONTAINER_PORT"
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# The UI and REST API are served on the same port — no separate API port
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# is required. Change the host port (left side) as needed.
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ports:
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- "8080:8080"
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# ── Volume mapping ────────────────────────────────────────────────────────
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# Map the directory on your HOST that contains the video files into the
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# container at /media (MEDIA_ROOT).
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#
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# *** Change /path/to/your/videos to the real path on your host. ***
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#
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# You can also set MEDIA_HOST_PATH as an environment variable before
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# running docker compose:
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# export MEDIA_HOST_PATH=/mnt/nas/videos && docker compose up -d
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volumes:
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- ${MEDIA_HOST_PATH:-/path/to/your/videos}:/media
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# ── Environment variables ─────────────────────────────────────────────────
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environment:
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# Path *inside the container* where videos are accessible.
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# Must match the right-hand side of the volume mount above.
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MEDIA_ROOT: /media
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# TCP port Gunicorn listens on (must match EXPOSE in Dockerfile and
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# the right-hand side of the ports mapping above).
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PORT: 8080
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# Gunicorn log level: debug | info | warning | error | critical
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LOG_LEVEL: info
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# ── Resource limits (optional — uncomment to enable) ─────────────────────
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# Compressing large video files is CPU-intensive. Limits prevent the
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# container from starving other workloads on the host.
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# deploy:
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# resources:
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# limits:
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# cpus: '4'
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# memory: 2G
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# reservations:
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# cpus: '1'
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# memory: 512M
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# ── Health check ──────────────────────────────────────────────────────────
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healthcheck:
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test: ["CMD", "python3", "-c",
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"import urllib.request; urllib.request.urlopen('http://localhost:8080/')"]
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interval: 30s
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timeout: 10s
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retries: 3
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start_period: 15s
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# ── Logging ───────────────────────────────────────────────────────────────
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logging:
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driver: json-file
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options:
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max-size: "10m"
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max-file: "3"
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