"""Example: Pipeline phase execution - from pipeline/run_pipeline.py and actual codebase."""

import argparse
from datetime import date, timedelta
from typing import List, Tuple

# Import pipeline modules
from pipeline.fetch_mp_metadata import fetch_mp_metadata
from pipeline.extract_mp_votes import extract_mp_votes
from pipeline.svd_pipeline import run_svd_pipeline
from pipeline.text_pipeline import run_text_pipeline
from pipeline.fusion import run_fusion

from database import MotionDatabase


# =============================================================================
# Example 1: Running full pipeline
# =============================================================================


def example_full_pipeline():
    """Run the complete data ingestion pipeline."""

    # Parse arguments like CLI would
    parser = argparse.ArgumentParser(description="Pipeline runner")
    parser.add_argument("--db-path", default="data/motions.db")
    parser.add_argument("--start-date", default=None)
    parser.add_argument("--end-date", default=None)
    parser.add_argument(
        "--window-size", choices=["quarterly", "annual"], default="quarterly"
    )
    parser.add_argument("--svd-k", type=int, default=50)

    args = parser.parse_args([])

    # Resolve dates
    end_date = date.fromisoformat(args.end_date) if args.end_date else date.today()
    start_date = (
        date.fromisoformat(args.start_date)
        if args.start_date
        else end_date - timedelta(days=730)
    )

    print(f"Running pipeline: {start_date} → {end_date}")
    print(f"Window size: {args.window_size}")
    print(f"DB path: {args.db_path}")

    # Initialize database
    db = MotionDatabase(args.db_path)

    # Phase 1: Fetch MP metadata
    print("\n=== Phase 1: MP Metadata ===")
    n_mp = fetch_mp_metadata(db_path=args.db_path)
    print(f"Processed {n_mp} MPs")

    # Phase 2: Extract MP votes
    print("\n=== Phase 2: Extract Votes ===")
    n_votes = extract_mp_votes(db_path=args.db_path)
    print(f"Extracted {n_votes} vote records")

    # Phase 3: Generate time windows
    print("\n=== Phase 3: SVD Pipeline ===")
    windows = generate_windows(start_date, end_date, args.window_size)
    print(f"Generated {len(windows)} windows: {windows}")

    # Phase 4: SVD per window
    run_svd_pipeline(db, windows, args.svd_k)
    print(f"Computed SVD for {len(windows)} windows")

    # Phase 5: Text embeddings
    print("\n=== Phase 4: Text Embeddings ===")
    run_text_pipeline(args.db_path, batch_size=50)
    print("Text embeddings completed")

    # Phase 6: Fusion
    print("\n=== Phase 5: Fusion ===")
    run_fusion(args.db_path, windows)
    print("Fusion completed")

    print("\n=== Pipeline Complete ===")


# =============================================================================
# Example 2: Generate time windows
# =============================================================================


def generate_windows(
    start: date, end: date, granularity: str
) -> List[Tuple[str, str, str]]:
    """Generate time windows for pipeline processing."""

    windows = []
    cursor = date(start.year, start.month, 1)

    if granularity == "annual":
        cursor = date(start.year, 1, 1)
        while cursor <= end:
            year_end = date(cursor.year, 12, 31)
            w_end = min(year_end, end)
            windows.append((str(cursor.year), cursor.isoformat(), w_end.isoformat()))
            cursor = date(cursor.year + 1, 1, 1)
    else:
        # quarterly
        quarter_starts = {1: 1, 2: 4, 3: 7, 4: 10}
        quarter_ends = {1: 3, 2: 6, 3: 9, 4: 12}

        q = (cursor.month - 1) // 3 + 1
        cursor = date(cursor.year, quarter_starts[q], 1)

        while cursor <= end:
            q = (cursor.month - 1) // 3 + 1
            import calendar

            q_end_month = quarter_ends[q]
            last_day = calendar.monthrange(cursor.year, q_end_month)[1]
            q_end = date(cursor.year, q_end_month, last_day)
            w_end = min(q_end, end)
            window_id = f"{cursor.year}-Q{q}"
            windows.append((window_id, cursor.isoformat(), w_end.isoformat()))
            cursor = q_end + timedelta(days=1)

    return windows


def example_window_generation():
    """Example of window generation."""

    start = date(2023, 1, 1)
    end = date(2024, 6, 30)

    print("Quarterly windows:")
    quarterly = generate_windows(start, end, "quarterly")
    for wid, s, e in quarterly:
        print(f"  {wid}: {s} to {e}")

    print("\nAnnual windows:")
    annual = generate_windows(start, end, "annual")
    for wid, s, e in annual:
        print(f"  {wid}: {s} to {e}")


# =============================================================================
# Example 3: Running individual phases
# =============================================================================


def example_individual_phases():
    """Run pipeline phases individually for debugging."""

    db_path = "data/motions.db"
    db = MotionDatabase(db_path)

    # Only run MP metadata fetch
    print("Fetching MP metadata...")
    n = fetch_mp_metadata(db_path=db_path)
    print(f"  {n} MPs processed")

    # Only run vote extraction
    print("Extracting votes...")
    n = extract_mp_votes(db_path=db_path)
    print(f"  {n} votes extracted")

    # Only run SVD for specific window
    print("Computing SVD...")
    windows = [("2024-Q1", "2024-01-01", "2024-03-31")]
    run_svd_pipeline(db, windows, k=50)
    print("  SVD computed")

    # Only run text embeddings
    print("Computing embeddings...")
    run_text_pipeline(db_path, batch_size=25)  # Smaller batch for testing
    print("  Embeddings computed")


# =============================================================================
# Example 4: Dry run
# =============================================================================


def example_dry_run():
    """Show what pipeline would do without making changes."""

    print("DRY RUN - no writes will be made")

    start_date = date(2024, 1, 1)
    end_date = date(2024, 6, 30)

    # Generate and show windows
    windows = generate_windows(start_date, end_date, "quarterly")

    print(f"Would process {len(windows)} windows:")
    for wid, s, e in windows:
        print(f"  {wid}: {s} to {e}")

    print("\nWould run phases:")
    print("  1. fetch_mp_metadata")
    print("  2. extract_mp_votes")
    print("  3. svd_pipeline")
    print("  4. text_pipeline")
    print("  5. fusion")


if __name__ == "__main__":
    import logging

    logging.basicConfig(
        level=logging.INFO,
        format="%(asctime)s %(levelname)s %(name)s: %(message)s",
    )

    print("=== Window Generation ===")
    example_window_generation()

    print("\n=== Dry Run ===")
    example_dry_run()