Add CI workflow, full env docs, fix Up button navigation
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- .gitea/workflows/build.yaml: Gitea Actions — push latest on main - docker-compose.example.yml: image-based pull, all NAT20_ vars shown - settings.py: add NAT20_PLAYER_RECAP_STYLE / CUSTOM_PROMPT overrides - README.md: full env var reference table with accepted values + rationale - files.py: fix parent_path to avoid up-button bug; add path traversal guard - Files.tsx: remove copy/paste/autoPlay, scope to campaign
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# Example Docker Compose — uses a named volume so data persists across rebuilds
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# without needing a specific host path. Copy to docker-compose.yml and customise.
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# 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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whisperx-base:
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build:
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context: ./backend
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target: whisperx-base
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image: nat20-whisperx-base:latest
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restart: "no"
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backend:
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build:
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context: ./backend
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target: runtime
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image: nat20-backend:latest
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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 (uncomment below) ────────────────────
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# build:
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# context: ./backend
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# target: runtime
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restart: unless-stopped
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depends_on:
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- whisperx-base
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environment:
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# Skip setup wizard on container restart (or "false" to force re-run)
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NAT20_ONBOARDING_COMPLETED: "true"
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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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# Model size: tiny | base | small | medium | large-v3
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NAT20_WHISPER_MODEL: medium
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# Compute precision: int8 (fastest/least VRAM)
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# | float16 (more accurate)
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# | float32 (full precision, slowest)
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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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# Target words per chunk. Long transcripts are split into
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# chunks, each summarized separately. Lower = more LLM
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# calls but finer granularity. Higher = more context per
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# chunk but may exceed the model's context window.
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# Default 2500 works for most models (8K–128K context).
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# NAT20_CHUNK_WORD_TARGET: "2500"
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# Campaign context injected into every summarization prompt.
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# Inline string or path to a file inside the container.
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# NAT20_WORLD_CONTEXT: ""
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# NAT20_WORLD_CONTEXT_PATH: /data/campaign-context.txt
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# Player recap format: story | diary | bullets | custom
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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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# ── Data persistence ──────────────────────────────────
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# Option A: Named volume (auto-managed, no host path needed)
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- app_data:/data
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# Option B: Host bind mount (replace with your path)
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# - /mnt/media/dnd-sessions:/data
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# HuggingFace + Torch model caches (avoid re-downloading)
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- hf_cache:/root/.cache/huggingface
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- torch_cache:/root/.cache/torch
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@@ -35,7 +78,8 @@ services:
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- "8000:8000"
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frontend:
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build: ./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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