dev
3a345cbefd
- new photo-ai service: FastAPI + Real-ESRGAN x2plus on CPU, internal only - async job queue in server (POST enhance-ai / GET status), 5min timeout, sequential processing - keep original photo backup (entries.photo_original_path, uploads/.originals), restore-original endpoint - UI: AI button and restore-original button in enhance modal - db: photo_original_path column (init.sql, migration.sql, runtime ensure)
134 lines
4.1 KiB
YAML
134 lines
4.1 KiB
YAML
name: whatido
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services:
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db:
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image: postgres:16-alpine
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environment:
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POSTGRES_DB: whereldo
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POSTGRES_USER: app
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POSTGRES_PASSWORD: ${DB_PASSWORD}
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TZ: Europe/Moscow
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volumes:
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- pgdata:/var/lib/postgresql/data
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- ./db/init.sql:/docker-entrypoint-initdb.d/init.sql
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healthcheck:
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test: ["CMD-SHELL", "pg_isready -U app -d whereldo"]
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interval: 2s
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timeout: 3s
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retries: 10
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app:
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build:
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context: .
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network: host
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extra_hosts:
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- "host.docker.internal:host-gateway"
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expose:
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- "3003"
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- "3443"
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ports:
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- "3003:3003"
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- "3443:3443"
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environment:
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DATABASE_URL: postgres://app:${DB_PASSWORD}@db:5432/whereldo
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ADMIN_PASSWORD: ${ADMIN_PASSWORD}
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ADMIN_USERNAME: ${ADMIN_USERNAME:-admin}
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BACKUP_UPLOAD_LIMIT_MB: ${BACKUP_UPLOAD_LIMIT_MB:-500}
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AI_MODEL: ${AI_MODEL:-qwen2.5-1.5b-instruct-q4_k_m.gguf}
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AI_PROMPT: ${AI_PROMPT:-}
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AI_REQUEST_TIMEOUT_MS: ${AI_REQUEST_TIMEOUT_MS:-120000}
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PHOTO_AI_URL: ${PHOTO_AI_URL:-http://photo-ai:8080}
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NODE_ENV: production
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TZ: Europe/Moscow
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depends_on:
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db:
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condition: service_healthy
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volumes:
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- ./uploads:/app/uploads
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# Публикация через Tailscale (Serve / Funnel) без проброса портов.
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# Приложение доступно по https://whatido.<tailnet>.ts.net
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# tailscale:
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# image: tailscale/tailscale:latest
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# hostname: whatido
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# restart: unless-stopped
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# network_mode: host
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# cap_add:
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# - NET_ADMIN
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# - SYS_MODULE
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# environment:
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# SSL_CERT_FILE: /etc/tailscale/app-certs/cert.pem
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# volumes:
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# - /var/lib/tailscale:/var/lib/tailscale
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# - /dev/net/tun:/dev/net/tun
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# - /lib/modules:/lib/modules:ro
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# - ./certs:/etc/tailscale/app-certs:ro
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# - ./start-tailscale.sh:/start-tailscale.sh:ro
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# command: ["/bin/sh", "/start-tailscale.sh"]
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# depends_on:
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# - app
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# Публикация наружу через Cloudflare Tunnel (cloudflared), Quick Tunnel:
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# случайный публичный URL *.trycloudflare.com, который печатается в логах:
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# docker compose logs -f cloudflared
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# Сборка из Dockerfile.cloudflared добавляет опциональный WireGuard:
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# если в wg/wg0.conf лежит конфиг — контейнер сначала поднимает VPN и
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# только потом запускает туннель (исход Cloudflare через VPN). Без конфига
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# туннель стартует сразу, как в базовой схеме.
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# cloudflared:
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# build:
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# context: .
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# dockerfile: Dockerfile.cloudflared
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# restart: unless-stopped
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# cap_add:
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# - NET_ADMIN
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# privileged: true
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# volumes:
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# - ./wg:/etc/wireguard:ro
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# environment:
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# TZ: Europe/Moscow
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# CLOUDFLARE_TUNNEL_URL: ${CLOUDFLARE_TUNNEL_URL:-http://app:3003}
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# WG_HANDSHAKE_TIMEOUT: ${WG_HANDSHAKE_TIMEOUT:-60}
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# depends_on:
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# - app
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text-corrector:
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image: ghcr.io/ggml-org/llama.cpp:server
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container_name: text-corrector
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restart: unless-stopped
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entrypoint: ["/bin/sh", "/start-text-corrector.sh"]
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environment:
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AI_MODEL: ${AI_MODEL:-qwen2.5-1.5b-instruct-q4_k_m.gguf}
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AI_MODEL_REPO: ${AI_MODEL_REPO:-Qwen/Qwen2.5-1.5B-Instruct-GGUF}
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HUGGINGFACE_TOKEN: ${HUGGINGFACE_TOKEN:-}
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volumes:
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- ./models:/models
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- ./start-text-corrector.sh:/start-text-corrector.sh:ro
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ports:
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- "8080:8080"
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# ИИ-улучшение фотографий (Real-ESRGAN x2, CPU).
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# Поднимается вместе со стеком; если не нужен — PHOTO_AI_URL пустой в .env.
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photo-ai:
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build: ./photo-ai
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container_name: photo-ai
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restart: unless-stopped
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environment:
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MODEL_PATH: /models/RealESRGAN_x2plus.pth
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MAX_INPUT_PIXELS: ${PHOTO_AI_MAX_PIXELS:-4000000}
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TZ: Europe/Moscow
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volumes:
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- photo-ai-models:/models
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volumes:
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pgdata:
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photo-ai-models:
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