scripts/parts/02_build_data.py

#!/usr/bin/env python3
import json
import logging
from pathlib import Path

# ---------------------------------------------------------------------------
# Config
# ---------------------------------------------------------------------------

ROOT = Path(__file__).parent.parent.parent
SOURCE_DIR = ROOT / "source" / "parts" / "detail"
OUTPUT_FILE = ROOT / "data" / "parts.jsonl"
PREFIX = "part"

logging.basicConfig(level=logging.INFO, format="%(message)s")
log = logging.getLogger(__name__)

# ---------------------------------------------------------------------------
# Mapper
# ---------------------------------------------------------------------------

def transform_part(data: dict) -> dict:
    """Flatten part JSON into a ChromaDB-ready format."""
    
    chroma_id = f"{PREFIX}:{data['slug']}"
    
    # Build searchable document text
    parts = []
    title = data.get('title')
    cat = data.get('category')
    mfr = data.get('manufacturer')
    mat = data.get('material')
    
    summary = f"Rocket Part: {title}"
    if cat: summary += f" ({cat})"
    if mfr: summary += f" manufactured by {mfr}"
    summary += "."
    parts.append(summary)
    
    # Add physical specs dynamically
    specs = []
    if mat: specs.append(f"material: {mat}")
    
    # Capture dimensions (diameter, length, chords, etc)
    for key, val in data.items():
        if key in ["slug", "category", "title", "manufacturer", "manufacturer_url", "material", "related_designs", "scraped_at", "url"]:
            continue
        specs.append(f"{key.replace('_', ' ')}: {val}")
        
    if specs:
        parts.append("Specifications: " + ", ".join(specs) + ".")
        
    if data.get("related_designs"):
        designs = [d['name'] for d in data['related_designs']]
        parts.append(f"Featured in designs: {', '.join(designs)}.")

    document = " ".join(parts)
    
    # Flatten metadata
    metadata = {
        "slug": data["slug"],
        "category": cat,
        "manufacturer": mfr,
        "material": mat,
        "url": data.get("url")
    }
    
    metadata = {k: v for k, v in metadata.items() if v is not None}
    
    return {
        "id": chroma_id,
        "document": document,
        "metadata": metadata
    }

# ---------------------------------------------------------------------------
# Main
# ---------------------------------------------------------------------------

def main():
    if not SOURCE_DIR.exists():
        log.error(f"Source directory {SOURCE_DIR} not found.")
        return

    OUTPUT_FILE.parent.mkdir(parents=True, exist_ok=True)
    
    count = 0
    with OUTPUT_FILE.open("w", encoding="utf-8") as out:
        for shard_dir in sorted(SOURCE_DIR.iterdir()):
            if not shard_dir.is_dir(): continue
            for file_path in sorted(shard_dir.glob("*.json")):
                try:
                    with file_path.open("r", encoding="utf-8") as f:
                        raw_data = json.load(f)
                    processed = transform_part(raw_data)
                    out.write(json.dumps(processed, ensure_ascii=False) + "\n")
                    count += 1
                except Exception as e:
                    log.error(f"Error processing {file_path}: {e}")

    log.info(f"Successfully built {count} records in {OUTPUT_FILE}")

if __name__ == "__main__":
    main()