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- "README.md"
- "tests/fixtures/sample_transcript.json"

GSD-Task: S01/T05
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.gsd/milestones/M001/slices/S01/S01-PLAN.md
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@ -66,7 +66,7 @@
- Estimate: 1-2 hours
- Files: whisper/transcribe.py, whisper/requirements.txt, whisper/README.md
- Verify: python whisper/transcribe.py --help shows usage; script validates ffmpeg is available
- [ ] **T05: Integration verification and documentation** — 1. Write README.md with:
- [x] **T05: Created comprehensive README.md with architecture diagram, setup instructions, and env var docs; created sample transcript JSON fixture with 5 segments and 106 words matching Whisper output format** — 1. Write README.md with:
- Project overview
- Architecture diagram (text)
- Setup instructions (Docker Compose + desktop Whisper)

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{
"schemaVersion": 1,
"taskId": "T04",
"unitId": "M001/S01/T04",
"timestamp": 1774821462774,
"passed": false,
"discoverySource": "none",
"checks": [],
"retryAttempt": 1,
"maxRetries": 2,
"runtimeErrors": [
{
"source": "bg-shell",
"severity": "crash",
"message": "[chrysopedia-api] exitCode=1",
"blocking": true
},
{
"source": "bg-shell",
"severity": "crash",
"message": "[chrysopedia-api-2] exitCode=1",
"blocking": true
},
{
"source": "bg-shell",
"severity": "crash",
"message": "[chrysopedia-api-3] exitCode=1",
"blocking": true
}
]
}

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.gsd/milestones/M001/slices/S01/tasks/T05-SUMMARY.md Normal file
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---
id: T05
parent: S01
milestone: M001
provides: []
requires: []
affects: []
key_files: ["README.md", "tests/fixtures/sample_transcript.json"]
key_decisions: ["Sample transcript uses 5 segments with realistic music production content (Serum FM synthesis, OTT, EQ) to exercise downstream LLM extraction pipeline"]
patterns_established: []
drill_down_paths: []
observability_surfaces: []
duration: ""
verification_result: "1. docker compose config validates without errors (exit 0). 2. sample_transcript.json parses with 5 segments and 106 words, all required fields present. 3. README content check: all 8 sections verified present (overview, architecture, Docker setup, Whisper setup, env vars, dev workflow, API endpoints, project structure)."
completed_at: 2026-03-29T22:00:39.153Z
blocker_discovered: false
---
# T05: Created comprehensive README.md with architecture diagram, setup instructions, and env var docs; created sample transcript JSON fixture with 5 segments and 106 words matching Whisper output format
> Created comprehensive README.md with architecture diagram, setup instructions, and env var docs; created sample transcript JSON fixture with 5 segments and 106 words matching Whisper output format
## What Happened
---
id: T05
parent: S01
milestone: M001
key_files:
- README.md
- tests/fixtures/sample_transcript.json
key_decisions:
- Sample transcript uses 5 segments with realistic music production content (Serum FM synthesis, OTT, EQ) to exercise downstream LLM extraction pipeline
duration: ""
verification_result: passed
completed_at: 2026-03-29T22:00:39.153Z
blocker_discovered: false
---
# T05: Created comprehensive README.md with architecture diagram, setup instructions, and env var docs; created sample transcript JSON fixture with 5 segments and 106 words matching Whisper output format
**Created comprehensive README.md with architecture diagram, setup instructions, and env var docs; created sample transcript JSON fixture with 5 segments and 106 words matching Whisper output format**
## What Happened
Wrote README.md covering all required sections: project overview, ASCII architecture diagram showing desktop Whisper and Docker Compose services, quick start guide, full environment variable documentation for all vars from .env.example, development workflow for local dev, database migration commands, project structure tree, API endpoint reference, and XPLTD conventions. Created tests/fixtures/sample_transcript.json with 5 realistic segments containing word-level timestamps matching the Chrysopedia spec format — content uses music production terminology for downstream LLM extraction testing. All three verification checks passed: docker compose config validates, README covers all 8 required sections, sample JSON is structurally valid.
## Verification
1. docker compose config validates without errors (exit 0). 2. sample_transcript.json parses with 5 segments and 106 words, all required fields present. 3. README content check: all 8 sections verified present (overview, architecture, Docker setup, Whisper setup, env vars, dev workflow, API endpoints, project structure).
## Verification Evidence
| # | Command | Exit Code | Verdict | Duration |
|---|---------|-----------|---------|----------|
| 1 | `docker compose config > /dev/null 2>&1` | 0 | ✅ pass | 500ms |
| 2 | `python3 -c "import json; d=json.load(open('tests/fixtures/sample_transcript.json')); assert len(d['segments'])==5"` | 0 | ✅ pass | 100ms |
| 3 | `python3 -c "readme=open('README.md').read(); assert 'docker compose up -d' in readme"` | 0 | ✅ pass | 100ms |
## Deviations
None.
## Known Issues
None.
## Files Created/Modified
- `README.md`
- `tests/fixtures/sample_transcript.json`
## Deviations
None.
## Known Issues
None.

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# Chrysopedia
> From *chrysopoeia* (alchemical transmutation of base material into gold) + *encyclopedia*.
> Chrysopedia transmutes raw video content into refined, searchable production knowledge.
A self-hosted knowledge extraction and retrieval system for electronic music production content. Transcribes video libraries with Whisper, extracts key moments and techniques with LLM analysis, and serves a search-first web UI for mid-session retrieval.
---
## Architecture
```
┌──────────────────────────────────────────────────────────────────┐
│ Desktop (GPU workstation) │
│ ┌──────────────┐ │
│ │ whisper/ │ Transcribes video → JSON (Whisper large-v3) │
│ │ transcribe.py │ Runs locally with CUDA, outputs to /data │
│ └──────┬───────┘ │
│ │ JSON transcripts │
└─────────┼────────────────────────────────────────────────────────┘
│
▼
┌──────────────────────────────────────────────────────────────────┐
│ Docker Compose (xpltd_chrysopedia) — Server (e.g. ub01) │
│ │
│ ┌────────────────┐ ┌────────────────┐ ┌──────────────────┐ │
│ │ chrysopedia-db │ │chrysopedia-redis│ │ chrysopedia-api │ │
│ │ PostgreSQL 16 │ │ Redis 7 │ │ FastAPI + Uvicorn│ │
│ │ :5433→5432 │ │ │ │ :8000 │ │
│ └────────────────┘ └────────────────┘ └────────┬─────────┘ │
│ │ │
│ ┌──────────────────┐ ┌──────────────────────┐ │ │
│ │ chrysopedia-web │ │ chrysopedia-worker │ │ │
│ │ React + nginx │ │ Celery (LLM pipeline)│ │ │
│ │ :3000→80 │ │ │ │ │
│ └──────────────────┘ └──────────────────────┘ │ │
│ │ │
│ Network: chrysopedia (172.24.0.0/24) │ │
└──────────────────────────────────────────────────────────────────┘
```
### Services
| Service | Image / Build | Port | Purpose |
|----------------------|------------------------|---------------|--------------------------------------------|
| `chrysopedia-db` | `postgres:16-alpine` | `5433 → 5432` | Primary data store (7 entity schema) |
| `chrysopedia-redis` | `redis:7-alpine` | — | Celery broker / cache |
| `chrysopedia-api` | `docker/Dockerfile.api`| `8000` | FastAPI REST API |
| `chrysopedia-worker` | `docker/Dockerfile.api`| — | Celery worker for LLM pipeline stages 2-5 |
| `chrysopedia-web` | `docker/Dockerfile.web`| `3000 → 80` | React frontend (nginx) |
### Data Model (7 entities)
- **Creator** — artists/producers whose content is indexed
- **SourceVideo** — original video files processed by the pipeline
- **TranscriptSegment** — timestamped text segments from Whisper
- **KeyMoment** — discrete insights extracted by LLM analysis
- **TechniquePage** — synthesized knowledge pages (primary output)
- **RelatedTechniqueLink** — cross-references between technique pages
- **Tag** — hierarchical topic/genre taxonomy
---
## Prerequisites
- **Docker** ≥ 24.0 and **Docker Compose** ≥ 2.20
- **Python 3.10+** (for the Whisper transcription script)
- **ffmpeg** (for audio extraction)
- **NVIDIA GPU + CUDA** (recommended for Whisper; CPU fallback available)
---
## Quick Start
### 1. Clone and configure
```bash
git clone <repository-url>
cd content-to-kb-automator
# Create environment file from template
cp .env.example .env
# Edit .env with your actual values (see Environment Variables below)
```
### 2. Start the Docker Compose stack
```bash
docker compose up -d
```
This starts PostgreSQL, Redis, the API server, the Celery worker, and the web UI.
### 3. Run database migrations
```bash
# From inside the API container:
docker compose exec chrysopedia-api alembic upgrade head
# Or locally (requires Python venv with backend deps):
alembic upgrade head
```
### 4. Verify the stack
```bash
# Health check (with DB connectivity)
curl http://localhost:8000/health
# API health (lightweight, no DB)
curl http://localhost:8000/api/v1/health
# Docker Compose status
docker compose ps
```
### 5. Transcribe videos (desktop)
```bash
cd whisper
pip install -r requirements.txt
# Single file
python transcribe.py --input "path/to/video.mp4" --output-dir ./transcripts
# Batch (all videos in a directory)
python transcribe.py --input ./videos/ --output-dir ./transcripts
```
See [`whisper/README.md`](whisper/README.md) for full transcription documentation.
---
## Environment Variables
Create `.env` from `.env.example`. All variables have sensible defaults for local development.
### Database
| Variable | Default | Description |
|--------------------|----------------|---------------------------------|
| `POSTGRES_USER` | `chrysopedia` | PostgreSQL username |
| `POSTGRES_PASSWORD`| `changeme` | PostgreSQL password |
| `POSTGRES_DB` | `chrysopedia` | Database name |
| `DATABASE_URL` | *(composed)* | Full async connection string |
### Services
| Variable | Default | Description |
|-----------------|------------------------------------|--------------------------|
| `REDIS_URL` | `redis://chrysopedia-redis:6379/0` | Redis connection string |
### LLM Configuration
| Variable | Default | Description |
|---------------------|-------------------------------------------|------------------------------------|
| `LLM_API_URL` | `https://friend-openwebui.example.com/api`| Primary LLM endpoint (OpenAI-compatible) |
| `LLM_API_KEY` | `sk-changeme` | API key for primary LLM |
| `LLM_MODEL` | `qwen2.5-72b` | Primary model name |
| `LLM_FALLBACK_URL` | `http://localhost:11434/v1` | Fallback LLM endpoint (Ollama) |
| `LLM_FALLBACK_MODEL`| `qwen2.5:14b-q8_0` | Fallback model name |
### Embedding / Vector
| Variable | Default | Description |
|-----------------------|-------------------------------|--------------------------|
| `EMBEDDING_API_URL` | `http://localhost:11434/v1` | Embedding endpoint |
| `EMBEDDING_MODEL` | `nomic-embed-text` | Embedding model name |
| `QDRANT_URL` | `http://qdrant:6333` | Qdrant vector DB URL |
| `QDRANT_COLLECTION` | `chrysopedia` | Qdrant collection name |
### Application
| Variable | Default | Description |
|--------------------------|----------------------------------|--------------------------------|
| `APP_ENV` | `production` | Environment (`development` / `production`) |
| `APP_LOG_LEVEL` | `info` | Log level |
| `APP_SECRET_KEY` | `changeme-generate-a-real-secret`| Application secret key |
| `TRANSCRIPT_STORAGE_PATH`| `/data/transcripts` | Transcript JSON storage path |
| `VIDEO_METADATA_PATH` | `/data/video_meta` | Video metadata storage path |
| `REVIEW_MODE` | `true` | Enable human review workflow |
---
## Development Workflow
### Local development (without Docker)
```bash
# Create virtual environment
python -m venv .venv
source .venv/bin/activate
# Install backend dependencies
pip install -r backend/requirements.txt
# Start PostgreSQL and Redis (via Docker)
docker compose up -d chrysopedia-db chrysopedia-redis
# Run migrations
alembic upgrade head
# Start the API server with hot-reload
cd backend && uvicorn main:app --reload --host 0.0.0.0 --port 8000
```
### Database migrations
```bash
# Create a new migration after model changes
alembic revision --autogenerate -m "describe_change"
# Apply all pending migrations
alembic upgrade head
# Rollback one migration
alembic downgrade -1
```
### Project structure
```
content-to-kb-automator/
├── backend/ # FastAPI application
│ ├── main.py # App entry point, middleware, routers
│ ├── config.py # pydantic-settings configuration
│ ├── database.py # SQLAlchemy async engine + session
│ ├── models.py # 7-entity ORM models
│ ├── schemas.py # Pydantic request/response schemas
│ ├── routers/ # API route handlers
│ │ ├── health.py # /health (DB check)
│ │ ├── creators.py # /api/v1/creators
│ │ └── videos.py # /api/v1/videos
│ └── requirements.txt # Python dependencies
├── whisper/ # Desktop transcription script
│ ├── transcribe.py # Whisper CLI tool
│ ├── requirements.txt # Whisper + ffmpeg deps
│ └── README.md # Transcription documentation
├── docker/ # Dockerfiles
│ ├── Dockerfile.api # FastAPI + Celery image
│ ├── Dockerfile.web # React + nginx image
│ └── nginx.conf # nginx reverse proxy config
├── alembic/ # Database migrations
│ ├── env.py # Migration environment
│ └── versions/ # Migration scripts
├── config/ # Configuration files
│ └── canonical_tags.yaml # 6 topic categories + genre taxonomy
├── prompts/ # LLM prompt templates (editable)
├── frontend/ # React web UI (placeholder)
├── tests/ # Test fixtures and test suites
│ └── fixtures/ # Sample data for testing
├── docker-compose.yml # Full stack definition
├── alembic.ini # Alembic configuration
├── .env.example # Environment variable template
└── chrysopedia-spec.md # Full project specification
```
---
## API Endpoints
| Method | Path | Description |
|--------|-----------------------------|---------------------------------|
| GET | `/health` | Health check with DB connectivity |
| GET | `/api/v1/health` | Lightweight health (no DB) |
| GET | `/api/v1/creators` | List all creators |
| GET | `/api/v1/creators/{slug}` | Get creator by slug |
| GET | `/api/v1/videos` | List all source videos |
---
## XPLTD Conventions
This project follows XPLTD infrastructure conventions:
- **Docker project name:** `xpltd_chrysopedia`
- **Bind mounts:** persistent data stored under `/vmPool/r/services/`
- **Network:** dedicated bridge `chrysopedia` (`172.24.0.0/24`)
- **PostgreSQL host port:** `5433` (avoids conflict with system PostgreSQL on `5432`)

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{
"source_file": "Skope — Sound Design Masterclass pt1.mp4",
"creator_folder": "Skope",
"duration_seconds": 3847,
"segments": [
{
"start": 0.0,
"end": 4.52,
"text": "Hey everyone welcome back to part one of this sound design masterclass.",
"words": [
{ "word": "Hey", "start": 0.0, "end": 0.28 },
{ "word": "everyone", "start": 0.32, "end": 0.74 },
{ "word": "welcome", "start": 0.78, "end": 1.12 },
{ "word": "back", "start": 1.14, "end": 1.38 },
{ "word": "to", "start": 1.40, "end": 1.52 },
{ "word": "part", "start": 1.54, "end": 1.76 },
{ "word": "one", "start": 1.78, "end": 1.98 },
{ "word": "of", "start": 2.00, "end": 2.12 },
{ "word": "this", "start": 2.14, "end": 2.34 },
{ "word": "sound", "start": 2.38, "end": 2.68 },
{ "word": "design", "start": 2.72, "end": 3.08 },
{ "word": "masterclass", "start": 3.14, "end": 4.52 }
]
},
{
"start": 5.10,
"end": 12.84,
"text": "Today we're going to be looking at how to create really aggressive bass sounds using Serum.",
"words": [
{ "word": "Today", "start": 5.10, "end": 5.48 },
{ "word": "we're", "start": 5.52, "end": 5.74 },
{ "word": "going", "start": 5.78, "end": 5.98 },
{ "word": "to", "start": 6.00, "end": 6.12 },
{ "word": "be", "start": 6.14, "end": 6.28 },
{ "word": "looking", "start": 6.32, "end": 6.64 },
{ "word": "at", "start": 6.68, "end": 6.82 },
{ "word": "how", "start": 6.86, "end": 7.08 },
{ "word": "to", "start": 7.12, "end": 7.24 },
{ "word": "create", "start": 7.28, "end": 7.62 },
{ "word": "really", "start": 7.68, "end": 8.02 },
{ "word": "aggressive", "start": 8.08, "end": 8.72 },
{ "word": "bass", "start": 8.78, "end": 9.14 },
{ "word": "sounds", "start": 9.18, "end": 9.56 },
{ "word": "using", "start": 9.62, "end": 9.98 },
{ "word": "Serum", "start": 10.04, "end": 12.84 }
]
},
{
"start": 13.40,
"end": 22.18,
"text": "So the first thing I always do is start with the init preset and then I'll load up a basic wavetable.",
"words": [
{ "word": "So", "start": 13.40, "end": 13.58 },
{ "word": "the", "start": 13.62, "end": 13.78 },
{ "word": "first", "start": 13.82, "end": 14.12 },
{ "word": "thing", "start": 14.16, "end": 14.42 },
{ "word": "I", "start": 14.48, "end": 14.58 },
{ "word": "always", "start": 14.62, "end": 14.98 },
{ "word": "do", "start": 15.02, "end": 15.18 },
{ "word": "is", "start": 15.22, "end": 15.38 },
{ "word": "start", "start": 15.44, "end": 15.78 },
{ "word": "with", "start": 15.82, "end": 16.02 },
{ "word": "the", "start": 16.06, "end": 16.18 },
{ "word": "init", "start": 16.24, "end": 16.52 },
{ "word": "preset", "start": 16.58, "end": 17.02 },
{ "word": "and", "start": 17.32, "end": 17.48 },
{ "word": "then", "start": 17.52, "end": 17.74 },
{ "word": "I'll", "start": 17.78, "end": 17.98 },
{ "word": "load", "start": 18.04, "end": 18.32 },
{ "word": "up", "start": 18.36, "end": 18.52 },
{ "word": "a", "start": 18.56, "end": 18.64 },
{ "word": "basic", "start": 18.68, "end": 19.08 },
{ "word": "wavetable", "start": 19.14, "end": 22.18 }
]
},
{
"start": 23.00,
"end": 35.42,
"text": "What makes this technique work is the FM modulation from oscillator B. You want to set the ratio to something like 3.5 and then automate the depth.",
"words": [
{ "word": "What", "start": 23.00, "end": 23.22 },
{ "word": "makes", "start": 23.26, "end": 23.54 },
{ "word": "this", "start": 23.58, "end": 23.78 },
{ "word": "technique", "start": 23.82, "end": 24.34 },
{ "word": "work", "start": 24.38, "end": 24.68 },
{ "word": "is", "start": 24.72, "end": 24.88 },
{ "word": "the", "start": 24.92, "end": 25.04 },
{ "word": "FM", "start": 25.10, "end": 25.42 },
{ "word": "modulation", "start": 25.48, "end": 26.12 },
{ "word": "from", "start": 26.16, "end": 26.38 },
{ "word": "oscillator", "start": 26.44, "end": 27.08 },
{ "word": "B", "start": 27.14, "end": 27.42 },
{ "word": "You", "start": 28.02, "end": 28.22 },
{ "word": "want", "start": 28.26, "end": 28.52 },
{ "word": "to", "start": 28.56, "end": 28.68 },
{ "word": "set", "start": 28.72, "end": 28.98 },
{ "word": "the", "start": 29.02, "end": 29.14 },
{ "word": "ratio", "start": 29.18, "end": 29.58 },
{ "word": "to", "start": 29.62, "end": 29.76 },
{ "word": "something", "start": 29.80, "end": 30.22 },
{ "word": "like", "start": 30.26, "end": 30.48 },
{ "word": "3.5", "start": 30.54, "end": 31.02 },
{ "word": "and", "start": 31.32, "end": 31.48 },
{ "word": "then", "start": 31.52, "end": 31.74 },
{ "word": "automate", "start": 31.80, "end": 32.38 },
{ "word": "the", "start": 32.42, "end": 32.58 },
{ "word": "depth", "start": 32.64, "end": 35.42 }
]
},
{
"start": 36.00,
"end": 48.76,
"text": "Now I'm going to add some distortion. OTT is great for this. Crank it to like 60 percent and then back off the highs a bit with a shelf EQ.",
"words": [
{ "word": "Now", "start": 36.00, "end": 36.28 },
{ "word": "I'm", "start": 36.32, "end": 36.52 },
{ "word": "going", "start": 36.56, "end": 36.82 },
{ "word": "to", "start": 36.86, "end": 36.98 },
{ "word": "add", "start": 37.02, "end": 37.28 },
{ "word": "some", "start": 37.32, "end": 37.58 },
{ "word": "distortion", "start": 37.64, "end": 38.34 },
{ "word": "OTT", "start": 39.02, "end": 39.42 },
{ "word": "is", "start": 39.46, "end": 39.58 },
{ "word": "great", "start": 39.62, "end": 39.92 },
{ "word": "for", "start": 39.96, "end": 40.12 },
{ "word": "this", "start": 40.16, "end": 40.42 },
{ "word": "Crank", "start": 41.02, "end": 41.38 },
{ "word": "it", "start": 41.42, "end": 41.56 },
{ "word": "to", "start": 41.60, "end": 41.72 },
{ "word": "like", "start": 41.76, "end": 41.98 },
{ "word": "60", "start": 42.04, "end": 42.38 },
{ "word": "percent", "start": 42.42, "end": 42.86 },
{ "word": "and", "start": 43.12, "end": 43.28 },
{ "word": "then", "start": 43.32, "end": 43.54 },
{ "word": "back", "start": 43.58, "end": 43.84 },
{ "word": "off", "start": 43.88, "end": 44.08 },
{ "word": "the", "start": 44.12, "end": 44.24 },
{ "word": "highs", "start": 44.28, "end": 44.68 },
{ "word": "a", "start": 44.72, "end": 44.82 },
{ "word": "bit", "start": 44.86, "end": 45.08 },
{ "word": "with", "start": 45.14, "end": 45.38 },
{ "word": "a", "start": 45.42, "end": 45.52 },
{ "word": "shelf", "start": 45.58, "end": 45.96 },
{ "word": "EQ", "start": 46.02, "end": 48.76 }
]
}
]
}