"""
Orchestrator: run all data processing steps in sequence and report status.
Usage: python -m src.data_processing.process_all
"""

import logging
import time
import sys
from pathlib import Path

logger = logging.getLogger(__name__)


def process_all():
    """Run all data processing steps in order."""
    start = time.time()

    print("=" * 60)
    print("  InstaWarn — Data Processing Pipeline")
    print("=" * 60)
    print()

    results = {}

    # ── Step 1: Administrative Boundaries ─────────────────────────────────
    print("[1/5] Processing administrative boundaries...")
    try:
        from src.data_processing.load_boundaries import load_and_filter_boundaries
        unions = load_and_filter_boundaries()
        results["boundaries"] = f"✅ {len(unions)} unions loaded"
    except Exception as e:
        results["boundaries"] = f"❌ Failed: {e}"
        print(f"  ERROR: {e}")
        print("  This is a BLOCKER — cannot continue without boundaries.")
        _print_summary(results, start)
        return False
    print()

    # ── Step 2: Cyclone Track ─────────────────────────────────────────────
    print("[2/5] Processing cyclone track data...")
    try:
        from src.data_processing.load_cyclone_track import load_cyclone_track
        track = load_cyclone_track()
        results["cyclone_track"] = f"✅ {len(track)} track points"
    except Exception as e:
        results["cyclone_track"] = f"❌ Failed: {e}"
        print(f"  ERROR: {e}")
    print()

    # ── Step 3: OSM Infrastructure ────────────────────────────────────────
    print("[3/5] Extracting OSM infrastructure data...")
    try:
        from src.data_processing.extract_osm_data import extract_all_osm_data
        osm = extract_all_osm_data()
        counts = {k: len(v) for k, v in osm.items()}
        results["osm_data"] = f"✅ {counts}"
    except Exception as e:
        results["osm_data"] = f"⚠️ Partial/Failed: {e}"
        print(f"  WARNING: {e}")
    print()

    # ── Step 4: Population ────────────────────────────────────────────────
    print("[4/5] Processing population data...")
    try:
        from src.data_processing.load_population import load_population
        pop = load_population()
        total = pop["population"].sum()
        results["population"] = f"✅ {len(pop)} unions, total pop: {total:,}"
    except Exception as e:
        results["population"] = f"⚠️ Failed: {e}"
        print(f"  WARNING: {e}")
    print()

    # ── Step 5: Shelters ──────────────────────────────────────────────────
    print("[5/5] Processing shelter data...")
    try:
        from src.data_processing.load_shelters import load_shelters
        shelters = load_shelters()
        total_cap = shelters["capacity"].sum()
        results["shelters"] = f"✅ {len(shelters)} shelters, capacity: {total_cap:,}"
    except Exception as e:
        results["shelters"] = f"⚠️ Failed: {e}"
        print(f"  WARNING: {e}")
    print()

    _print_summary(results, start)
    return True


def _print_summary(results, start_time):
    """Print processing summary."""
    elapsed = time.time() - start_time

    print("=" * 60)
    print("  Processing Summary")
    print("=" * 60)
    for step, status in results.items():
        print(f"  {step}: {status}")
    print(f"\n  Total time: {elapsed:.1f}s")
    print("=" * 60)

    # List processed files
    processed_dir = Path(__file__).parent.parent.parent / "data" / "processed"
    if processed_dir.exists():
        files = sorted(processed_dir.glob("*"))
        print(f"\n  Processed files ({len(files)}):")
        for f in files:
            size_kb = f.stat().st_size / 1024
            print(f"    {f.name} ({size_kb:.1f} KB)")
    print()


if __name__ == "__main__":
    logging.basicConfig(
        level=logging.INFO,
        format="%(levelname)s: %(message)s",
    )
    success = process_all()
    sys.exit(0 if success else 1)