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Backend:
- password hashing via hashlib.scrypt
- stateless HMAC-SHA256 tokens (7-day expiry)
- POST /api/auth/login, /api/auth/register (admin), /api/auth/reset-password
- admin user created from NAT20_ADMIN_USERNAME/PASSWORD on first startup
- users table, campaign_shares table, created_by on campaigns
- require_user dependency on all routes except auth
- campaign sharing: GET/POST/DELETE /api/campaigns/{id}/shares
Frontend:
- AuthContext: user/token state, login/logout, global fetch Auth header
- Login page, Users page (admin user management)
- route protection, sidebar user info/sign out
Docker/CI:
- split backend/Dockerfile into thin app-only image
- backend/Dockerfile.deps builds the heavy WhisperX/PyTorch base
- CI builds deps only when requirements.txt changes
- docker compose pull now fetches ~100KB app layer instead of 3.5GB
75 lines
2.7 KiB
YAML
75 lines
2.7 KiB
YAML
# Example Docker Compose — copy to docker-compose.yml and customise.
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# Build locally: docker compose build
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# Pull pre-built: docker compose pull
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# Run: docker compose up -d
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services:
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backend:
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# ── Pre-built image (pull from registry) ──────────────────
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image: gitea.kansaigaijin.com/Jamie/Nat20-Notes/backend:latest
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# ── Or build locally after make deps (uncomment below) ────
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# build: ./backend
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restart: unless-stopped
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environment:
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# ── Auth ────────────────────────────────────────────────
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NAT20_ADMIN_USERNAME: "admin"
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NAT20_ADMIN_PASSWORD: "admin"
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# ── Setup wizard ──────────────────────────────────────
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# "false" (or omit) to show the wizard on first run.
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# Set to "true" after onboarding completes.
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NAT20_ONBOARDING_COMPLETED: "false"
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# ── Transcription ─────────────────────────────────────
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NAT20_WHISPER_MODEL: medium
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NAT20_WHISPER_COMPUTE_TYPE: int8
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# Required for speaker diarization (accept HF gated-model terms first)
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# NAT20_HF_TOKEN: "hf_..."
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# ── LLM backend (Ollama — local) ──────────────────────
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NAT20_OLLAMA_HOST: http://localhost:11434
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NAT20_OLLAMA_MODEL: qwen2.5:7b
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# ── LLM backend (API — OpenAI-compatible) ─────────────
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# Uncomment these to use a hosted API instead of Ollama
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# NAT20_API_BASE_URL: https://api.openai.com/v1
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# NAT20_API_KEY: "sk-..."
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# NAT20_API_MODEL: gpt-4o-mini
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# ── Summarization ─────────────────────────────────────
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# NAT20_CHUNK_WORD_TARGET: "2500"
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# NAT20_WORLD_CONTEXT: ""
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# NAT20_WORLD_CONTEXT_PATH: /data/campaign-context.txt
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# NAT20_PLAYER_RECAP_STYLE: story
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# NAT20_PLAYER_RECAP_CUSTOM_PROMPT: ""
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volumes:
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- app_data:/data
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- hf_cache:/root/.cache/huggingface
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- torch_cache:/root/.cache/torch
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deploy:
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resources:
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reservations:
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devices:
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- driver: nvidia
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count: 1
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capabilities: [gpu]
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ports:
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- "8000:8000"
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frontend:
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image: gitea.kansaigaijin.com/Jamie/Nat20-Notes/frontend:latest
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# build: ./frontend
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restart: unless-stopped
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depends_on:
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- backend
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ports:
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- "8020:8020"
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volumes:
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app_data:
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hf_cache:
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torch_cache:
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