#!/usr/bin/env python3
"""
Full Re-Ingestion Script for Legal Corpus and UCCA.

This script:
1. Deletes all existing chunks from bp_legal_corpus
2. Re-ingests all 19 regulations with improved semantic chunking
3. Logs progress to a file for monitoring

Run in background on Mac Mini:
    nohup python full_reingestion.py > /tmp/reingestion.log 2>&1 &
"""

import asyncio
import logging
import os
import sys
from datetime import datetime

# Configure logging
logging.basicConfig(
    level=logging.INFO,
    format='%(asctime)s - %(levelname)s - %(message)s',
    handlers=[
        logging.StreamHandler(sys.stdout),
        logging.FileHandler('/tmp/legal_corpus_reingestion.log')
    ]
)
logger = logging.getLogger(__name__)

# Set environment variables for Docker network
os.environ.setdefault("QDRANT_HOST", "qdrant")
os.environ.setdefault("EMBEDDING_SERVICE_URL", "http://embedding-service:8087")

from legal_corpus_ingestion import LegalCorpusIngestion, REGULATIONS, LEGAL_CORPUS_COLLECTION
from qdrant_client import QdrantClient


async def main():
    logger.info("=" * 60)
    logger.info("FULL LEGAL CORPUS RE-INGESTION")
    logger.info(f"Started at: {datetime.now().isoformat()}")
    logger.info("=" * 60)

    # Initialize
    ingestion = LegalCorpusIngestion()

    try:
        # Step 1: Delete all existing points
        logger.info("\n[Step 1] Deleting all existing chunks...")
        qdrant = QdrantClient(host=os.getenv("QDRANT_HOST", "qdrant"), port=6333)

        # Get current count
        try:
            collection_info = qdrant.get_collection(LEGAL_CORPUS_COLLECTION)
            old_count = collection_info.points_count
            logger.info(f"  Current chunk count: {old_count}")
        except Exception as e:
            logger.warning(f"  Could not get collection info: {e}")
            old_count = 0

        # Delete all points by recreating collection
        logger.info("  Deleting collection and recreating...")
        try:
            qdrant.delete_collection(LEGAL_CORPUS_COLLECTION)
            logger.info("  Collection deleted.")
        except Exception as e:
            logger.warning(f"  Could not delete collection: {e}")

        # The ingestion class will recreate the collection
        ingestion = LegalCorpusIngestion()
        logger.info("  Collection recreated.")

        # Step 2: Re-ingest all regulations
        logger.info("\n[Step 2] Re-ingesting all 19 regulations...")
        logger.info(f"  Regulations: {[r.code for r in REGULATIONS]}")

        results = {}
        total_chunks = 0

        for i, regulation in enumerate(REGULATIONS, 1):
            logger.info(f"\n  [{i}/19] Processing {regulation.code}: {regulation.name}")
            try:
                count = await ingestion.ingest_regulation(regulation)
                results[regulation.code] = count
                total_chunks += count
                logger.info(f"         -> {count} chunks indexed")
            except Exception as e:
                logger.error(f"         -> FAILED: {e}")
                results[regulation.code] = 0

        # Step 3: Summary
        logger.info("\n" + "=" * 60)
        logger.info("SUMMARY")
        logger.info("=" * 60)
        logger.info(f"  Previous chunk count: {old_count}")
        logger.info(f"  New chunk count: {total_chunks}")
        logger.info(f"  Difference: {total_chunks - old_count:+d}")
        logger.info("\n  Per regulation:")
        for code, count in sorted(results.items()):
            logger.info(f"    {code}: {count} chunks")

        # BSI specific
        bsi_total = sum(results.get(f"BSI-TR-03161-{i}", 0) for i in [1, 2, 3])
        logger.info(f"\n  BSI-TR-03161 total: {bsi_total} chunks (was 18)")

        logger.info("\n" + "=" * 60)
        logger.info(f"Completed at: {datetime.now().isoformat()}")
        logger.info("=" * 60)

    finally:
        await ingestion.close()


if __name__ == "__main__":
    asyncio.run(main())