Auto-mode commit 7aa33cd accidentally deleted 78 files (14,814 lines) during M005
execution. Subsequent commits rebuilt some frontend files but backend/, alembic/,
tests/, whisper/, docker configs, and prompts were never restored in this repo.
This commit restores the full project tree by syncing from ub01's working directory,
which has all M001-M007 features running in production containers.
Restored: backend/ (config, models, routers, database, redis, search_service, worker),
alembic/ (6 migrations), docker/ (Dockerfiles, nginx, compose), prompts/ (4 stages),
tests/, whisper/, README.md, .env.example, chrysopedia-spec.md
320 lines
19 KiB
Markdown
320 lines
19 KiB
Markdown
# Chrysopedia
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> From *chrysopoeia* (alchemical transmutation of base material into gold) + *encyclopedia*.
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> Chrysopedia transmutes raw video content into refined, searchable production knowledge.
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A self-hosted knowledge extraction system for electronic music production content. Video libraries are transcribed with Whisper, analyzed through a multi-stage LLM pipeline, curated via an admin review workflow, and served through a search-first web UI designed for mid-session retrieval.
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---
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## Information Flow
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Content moves through six stages from raw video to searchable knowledge:
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```
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┌─────────────────────────────────────────────────────────────────────────┐
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│ STAGE 1 · Transcription [Desktop / GPU] │
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│ │
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│ Video files → Whisper large-v3 (CUDA) → JSON transcripts │
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│ Output: timestamped segments with speaker text │
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└────────────────────────────────┬────────────────────────────────────────┘
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│ JSON files (manual or folder watcher)
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▼
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┌─────────────────────────────────────────────────────────────────────────┐
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│ STAGE 2 · Ingestion [API + Watcher] │
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│ │
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│ POST /api/v1/ingest ← watcher auto-submits from /watch folder │
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│ • Validate JSON structure │
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│ • Compute content hash (SHA-256) for deduplication │
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│ • Find-or-create Creator from folder name │
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│ • Upsert SourceVideo (exact filename → content hash → fuzzy match) │
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│ • Bulk-insert TranscriptSegment rows │
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│ • Dispatch pipeline to Celery worker │
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└────────────────────────────────┬────────────────────────────────────────┘
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│ Celery task: run_pipeline(video_id)
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▼
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┌─────────────────────────────────────────────────────────────────────────┐
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│ STAGE 3 · LLM Extraction Pipeline [Celery Worker] │
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│ │
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│ Four sequential LLM stages, each with its own prompt template: │
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│ │
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│ 3a. Segmentation — Split transcript into semantic topic boundaries │
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│ Model: chat (fast) Prompt: stage2_segmentation.txt │
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│ │
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│ 3b. Extraction — Identify key moments (title, summary, timestamps) │
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│ Model: reasoning (think) Prompt: stage3_extraction.txt │
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│ │
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│ 3c. Classification — Assign content types + extract plugin names │
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│ Model: chat (fast) Prompt: stage4_classification.txt │
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│ │
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│ 3d. Synthesis — Compose technique pages from approved moments │
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│ Model: reasoning (think) Prompt: stage5_synthesis.txt │
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│ │
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│ Each stage emits PipelineEvent rows (tokens, duration, model, errors) │
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└────────────────────────────────┬────────────────────────────────────────┘
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│ KeyMoment rows (review_status: pending)
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▼
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┌─────────────────────────────────────────────────────────────────────────┐
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│ STAGE 4 · Review & Curation [Admin UI] │
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│ │
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│ Admin reviews extracted KeyMoments before they become technique pages: │
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│ • Approve — moment proceeds to synthesis │
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│ • Edit — correct title, summary, content type, plugins, then approve │
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│ • Reject — moment is excluded from knowledge base │
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│ (When REVIEW_MODE=false, moments auto-approve and skip this stage) │
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└────────────────────────────────┬────────────────────────────────────────┘
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│ Approved moments → Stage 3d synthesis
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▼
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┌─────────────────────────────────────────────────────────────────────────┐
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│ STAGE 5 · Knowledge Base [Web UI] │
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│ │
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│ TechniquePages — the primary output: │
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│ • Structured body sections, signal chains, plugin lists │
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│ • Linked to source KeyMoments with video timestamps │
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│ • Cross-referenced via RelatedTechniqueLinks │
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│ • Versioned (snapshots before each re-synthesis) │
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│ • Organized by topic taxonomy (6 categories from canonical_tags.yaml) │
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└────────────────────────────────┬────────────────────────────────────────┘
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│
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▼
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┌─────────────────────────────────────────────────────────────────────────┐
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│ STAGE 6 · Search & Retrieval [Web UI] │
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│ │
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│ • Semantic search: query → embedding → Qdrant vector similarity │
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│ • Keyword fallback: ILIKE search on title/summary (300ms timeout) │
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│ • Browse by topic hierarchy, creator, or content type │
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│ • Typeahead search from home page (debounced, top 5 results) │
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└─────────────────────────────────────────────────────────────────────────┘
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```
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---
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## Architecture
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```
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┌──────────────────────────────────────────────────────────────────────────┐
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│ Desktop (GPU workstation — hal0022) │
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│ whisper/transcribe.py → JSON transcripts → copy to /watch folder │
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└────────────────────────────┬─────────────────────────────────────────────┘
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│
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▼
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┌──────────────────────────────────────────────────────────────────────────┐
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│ Docker Compose: xpltd_chrysopedia (ub01) │
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│ Network: chrysopedia (172.32.0.0/24) │
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│ │
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│ ┌────────────┐ ┌─────────────┐ ┌───────────────┐ ┌──────────────┐ │
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│ │ PostgreSQL │ │ Redis │ │ Qdrant │ │ Ollama │ │
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│ │ :5433 │ │ broker + │ │ vector DB │ │ embeddings │ │
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│ │ 7 entities │ │ cache │ │ semantic │ │ nomic-embed │ │
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│ └─────┬───────┘ └──────┬──────┘ └───────┬───────┘ └──────┬───────┘ │
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│ │ │ │ │ │
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│ ┌─────┴─────────────────┴─────────────────┴─────────────────┴────────┐ │
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│ │ FastAPI (API) │ │
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│ │ Ingest · Pipeline control · Review · Search · CRUD · Reports │ │
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│ └──────────────────────────────┬────────────────────────────────────┘ │
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│ │ │
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│ ┌──────────────┐ ┌────────────┴───┐ ┌──────────────────────────┐ │
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│ │ Watcher │ │ Celery Worker │ │ Web UI (React) │ │
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│ │ /watch → │ │ LLM pipeline │ │ nginx → :8096 │ │
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│ │ auto-ingest │ │ stages 2-5 │ │ search-first interface │ │
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│ └──────────────┘ └────────────────┘ └──────────────────────────┘ │
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└──────────────────────────────────────────────────────────────────────────┘
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```
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### Services
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| Service | Image | Port | Purpose |
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|---------|-------|------|---------|
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| `chrysopedia-db` | `postgres:16-alpine` | `5433 → 5432` | Primary data store |
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| `chrysopedia-redis` | `redis:7-alpine` | — | Celery broker + feature flag cache |
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| `chrysopedia-qdrant` | `qdrant/qdrant:v1.13.2` | — | Vector DB for semantic search |
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| `chrysopedia-ollama` | `ollama/ollama` | — | Embedding model server (nomic-embed-text) |
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| `chrysopedia-api` | `Dockerfile.api` | `8000` | FastAPI REST API |
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| `chrysopedia-worker` | `Dockerfile.api` | — | Celery worker (LLM pipeline) |
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| `chrysopedia-watcher` | `Dockerfile.api` | — | Folder monitor → auto-ingest |
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| `chrysopedia-web` | `Dockerfile.web` | `8096 → 80` | React frontend (nginx) |
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### Data Model
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| Entity | Purpose |
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|--------|---------|
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| **Creator** | Artists/producers whose content is indexed |
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| **SourceVideo** | Video files processed by the pipeline (with content hash dedup) |
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| **TranscriptSegment** | Timestamped text segments from Whisper |
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| **KeyMoment** | Discrete insights extracted by LLM analysis |
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| **TechniquePage** | Synthesized knowledge pages — the primary output |
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| **TechniquePageVersion** | Snapshots before re-synthesis overwrites |
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| **RelatedTechniqueLink** | Cross-references between technique pages |
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| **Tag** | Hierarchical topic taxonomy |
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| **ContentReport** | User-submitted content issues |
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| **PipelineEvent** | Structured pipeline execution logs (tokens, timing, errors) |
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---
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## Quick Start
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### Prerequisites
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- Docker ≥ 24.0 and Docker Compose ≥ 2.20
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- Python 3.10+ with NVIDIA GPU + CUDA (for Whisper transcription)
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### Setup
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```bash
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# Clone and configure
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git clone git@github.com:xpltdco/chrysopedia.git
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cd chrysopedia
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cp .env.example .env # edit with real values
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# Start the stack
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docker compose up -d
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# Run database migrations
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docker exec chrysopedia-api alembic upgrade head
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# Pull the embedding model (first time only)
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docker exec chrysopedia-ollama ollama pull nomic-embed-text
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# Verify
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curl http://localhost:8096/health
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```
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### Transcribe videos
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```bash
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cd whisper && pip install -r requirements.txt
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# Single file
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python transcribe.py --input "path/to/video.mp4" --output-dir ./transcripts
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# Batch
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python transcribe.py --input ./videos/ --output-dir ./transcripts
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```
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See [`whisper/README.md`](whisper/README.md) for full transcription docs.
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---
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## Environment Variables
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Copy `.env.example` to `.env`. Key groups:
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| Group | Variables | Notes |
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|-------|-----------|-------|
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| **Database** | `POSTGRES_USER`, `POSTGRES_PASSWORD`, `POSTGRES_DB` | Default user: `chrysopedia` |
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| **LLM** | `LLM_API_URL`, `LLM_API_KEY`, `LLM_MODEL` | OpenAI-compatible endpoint |
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| **LLM Fallback** | `LLM_FALLBACK_URL`, `LLM_FALLBACK_MODEL` | Automatic failover |
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| **Per-Stage Models** | `LLM_STAGE{2-5}_MODEL`, `LLM_STAGE{2-5}_MODALITY` | `chat` for fast stages, `thinking` for reasoning |
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| **Embedding** | `EMBEDDING_API_URL`, `EMBEDDING_MODEL` | Ollama nomic-embed-text |
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| **Vector DB** | `QDRANT_URL`, `QDRANT_COLLECTION` | Container-internal |
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| **Features** | `REVIEW_MODE`, `DEBUG_MODE` | Review gate + LLM I/O capture |
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| **Storage** | `TRANSCRIPT_STORAGE_PATH`, `VIDEO_METADATA_PATH` | Container bind mounts |
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---
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## API Endpoints
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### Public
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| Method | Path | Description |
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|--------|------|-------------|
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| GET | `/health` | Health check (DB connectivity) |
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| GET | `/api/v1/search?q=&scope=&limit=` | Semantic + keyword search |
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| GET | `/api/v1/techniques` | List technique pages |
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| GET | `/api/v1/techniques/{slug}` | Technique detail + key moments |
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| GET | `/api/v1/techniques/{slug}/versions` | Version history |
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| GET | `/api/v1/creators` | List creators (sort, genre filter) |
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| GET | `/api/v1/creators/{slug}` | Creator detail |
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| GET | `/api/v1/topics` | Topic hierarchy with counts |
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| GET | `/api/v1/videos` | List source videos |
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| POST | `/api/v1/reports` | Submit content report |
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### Admin
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| Method | Path | Description |
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|--------|------|-------------|
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| GET | `/api/v1/review/queue` | Review queue (status filter) |
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| POST | `/api/v1/review/moments/{id}/approve` | Approve key moment |
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| POST | `/api/v1/review/moments/{id}/reject` | Reject key moment |
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| PUT | `/api/v1/review/moments/{id}` | Edit key moment |
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| POST | `/api/v1/admin/pipeline/trigger/{video_id}` | Trigger/retrigger pipeline |
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| GET | `/api/v1/admin/pipeline/events/{video_id}` | Pipeline event log |
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| GET | `/api/v1/admin/pipeline/token-summary/{video_id}` | Token usage by stage |
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| GET | `/api/v1/admin/pipeline/worker-status` | Celery worker status |
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| PUT | `/api/v1/admin/pipeline/debug-mode` | Toggle debug mode |
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### Ingest
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| Method | Path | Description |
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|--------|------|-------------|
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| POST | `/api/v1/ingest` | Upload Whisper JSON transcript |
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---
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## Development
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```bash
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# Local backend (with Docker services)
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python -m venv .venv && source .venv/bin/activate
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pip install -r backend/requirements.txt
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docker compose up -d chrysopedia-db chrysopedia-redis
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alembic upgrade head
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cd backend && uvicorn main:app --reload --host 0.0.0.0 --port 8000
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# Database migrations
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alembic revision --autogenerate -m "describe_change"
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alembic upgrade head
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```
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### Project Structure
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```
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chrysopedia/
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├── backend/ # FastAPI application
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│ ├── main.py # Entry point, middleware, router mounting
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│ ├── config.py # Pydantic Settings (all env vars)
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│ ├── models.py # SQLAlchemy ORM models
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│ ├── schemas.py # Pydantic request/response schemas
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│ ├── worker.py # Celery app configuration
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│ ├── watcher.py # Transcript folder watcher service
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│ ├── search_service.py # Semantic search + keyword fallback
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│ ├── routers/ # API endpoint handlers
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│ ├── pipeline/ # LLM pipeline stages + clients
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│ │ ├── stages.py # Stages 2-5 (Celery tasks)
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│ │ ├── llm_client.py # OpenAI-compatible LLM client
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│ │ ├── embedding_client.py
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│ │ └── qdrant_client.py
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│ └── tests/
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├── frontend/ # React + TypeScript + Vite
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│ └── src/
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│ ├── pages/ # Home, Search, Technique, Creator, Topic, Admin
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│ ├── components/ # Shared UI components
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│ └── api/ # Typed API clients
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├── whisper/ # Desktop transcription (Whisper large-v3)
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├── docker/ # Dockerfiles + nginx config
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├── alembic/ # Database migrations
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├── config/ # canonical_tags.yaml (topic taxonomy)
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├── prompts/ # LLM prompt templates (editable at runtime)
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├── docker-compose.yml
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└── .env.example
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```
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---
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## Deployment (ub01)
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```bash
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ssh ub01
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cd /vmPool/r/repos/xpltdco/chrysopedia
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git pull && docker compose build && docker compose up -d
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```
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| Resource | Location |
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|----------|----------|
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| Web UI | `http://ub01:8096` |
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| API | `http://ub01:8096/health` |
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| PostgreSQL | `ub01:5433` |
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| Compose config | `/vmPool/r/compose/xpltd_chrysopedia/docker-compose.yml` |
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| Persistent data | `/vmPool/r/services/chrysopedia_*` |
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XPLTD conventions: `xpltd_chrysopedia` project name, dedicated bridge network (`172.32.0.0/24`), bind mounts under `/vmPool/r/services/`, PostgreSQL on port `5433`.
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