babc0f58ef
Dockerfile: split into whisperx-base and runtime stages so app-only changes skip the 10min pip install on rebuild. Example compose updated. Player recap: replace hardcoded 'story so far' prompt with selectable styles (story/diary/bullets/custom) via dropdown in Setup and Settings. Settings: add NAT20_ONBOARDING_COMPLETED env var; fix merge logic so env vars properly override defaults (not just empty DB values).
54 lines
2.1 KiB
Python
54 lines
2.1 KiB
Python
"""
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App-wide configuration. Everything is either an environment variable (set once,
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at deploy time) or a row in the `settings` table (editable at runtime via the
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setup wizard / settings page) - never a hardcoded path or host.
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"""
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import os
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from pathlib import Path
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# Deploy-time config (env vars) - where things live on disk inside the container.
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DATA_DIR = Path(os.environ.get("APP_DATA_DIR", "/data"))
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UPLOAD_DIR = DATA_DIR / "audio"
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AUDIO_DIR = DATA_DIR / "audio"
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TRANSCRIPT_DIR = DATA_DIR / "transcriptions"
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NOTES_DIR = DATA_DIR / "notes"
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DB_PATH = DATA_DIR / "app.db"
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for d in (UPLOAD_DIR, AUDIO_DIR, TRANSCRIPT_DIR, NOTES_DIR):
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d.mkdir(parents=True, exist_ok=True)
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# Runtime-editable settings (stored in DB, these are just first-run defaults).
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# NOTE: this flat key/value schema is the single source of truth for settings -
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# it's what every consumer (pipeline/summarize.py, pipeline/transcribe.py,
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# routers/models.py, routers/diagnostics.py) actually reads. The settings
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# router and frontend must mirror these exact keys - a nested schema would
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# silently disconnect the Settings/Setup UI from the pipeline.
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DEFAULT_SETTINGS = {
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# Onboarding
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"onboarding_completed": "false",
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# Transcription
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"whisper_model": "medium", # tiny|base|small|medium|large-v3 - user picks based on their hardware
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"whisper_compute_type": "int8",
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"hf_token": "", # required for diarization (pyannote gated models)
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# Summarization backend: "ollama" (local) or "api" (hosted, OpenAI-compatible)
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"llm_mode": "ollama",
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"ollama_host": "http://localhost:11434",
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"ollama_model": "qwen2.5:7b",
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"api_base_url": "https://api.openai.com/v1",
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"api_key": "",
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"api_model": "gpt-4o-mini",
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# Chunking for long transcripts (map-reduce summarization)
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"chunk_word_target": "2500",
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# Optional world context injected into every summarization prompt
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"world_context": "",
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"world_context_path": "",
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# Player recap style: "story" | "diary" | "bullets" | "custom"
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"player_recap_style": "story",
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"player_recap_custom_prompt": "",
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}
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