#!/usr/bin/env python3
from __future__ import annotations

import argparse
import json
import sys
from pathlib import Path
from typing import Any

sys.path.insert(0, str(Path(__file__).resolve().parents[1] / "src"))

from garmin_coach_clone.coach import (
    best_workout_for_date,
    find_date_matches,
    find_workout_like_objects,
)
from garmin_coach_clone.dates import parse_date
from garmin_coach_clone.io import dump_redacted_json, print_json
from garmin_coach_clone.workouts import (
    clone_workout_payload,
    summarize_workout,
    validate_workout_payload,
)


def main() -> int:
    parser = argparse.ArgumentParser(description="Analyze saved Garmin JSON without logging in.")
    parser.add_argument("json_file", type=Path, help="Path to a saved JSON dump.")
    parser.add_argument("--date", default="today", help="today, tomorrow, or YYYY-MM-DD")
    parser.add_argument(
        "--clone-dry-run",
        action="store_true",
        help="Build a local clone payload from the matched workout.",
    )
    parser.add_argument("--prefix", default="GCClone", help="Clone workout name prefix.")
    parser.add_argument(
        "--dump-json", action="store_true", help="Write analysis JSON under debug/."
    )
    args = parser.parse_args()

    target_date = parse_date(args.date)
    data = _load_json(args.json_file)
    date_matches = find_date_matches(data, target_date)
    workout_like = find_workout_like_objects(data)
    matched = best_workout_for_date(data, target_date)

    analysis: dict[str, Any] = {
        "source": str(args.json_file),
        "target_date": target_date.isoformat(),
        "date_match_count": len(date_matches),
        "workout_like_count": len(workout_like),
        "matched_workout": matched is not None,
    }

    print(f"Source: {args.json_file}")
    print(f"Target date: {target_date.isoformat()}")
    print(f"Date-containing objects: {len(date_matches)}")
    print(f"Workout-like objects with workoutSegments/workoutSteps: {len(workout_like)}")

    if matched is None:
        print("No dated workout-like object was found.")
        if args.dump_json:
            out = _analysis_path(args.json_file)
            dump_redacted_json(out, analysis)
            print(f"Analysis JSON written to {out}")
        return 1

    print("\nMatched workout summary:")
    print(summarize_workout(matched))

    if args.clone_dry_run:
        payload = clone_workout_payload(matched, target_date, args.prefix)
        errors = validate_workout_payload(payload)
        analysis["clone_validation_errors"] = errors
        analysis["clone_payload"] = payload
        if errors:
            print("\nLocal clone payload failed validation:")
            for error in errors:
                print(f" - {error}")
            return_code = 1
        else:
            print("\nLocal clone payload passed validation.")
            print_json(payload)
            return_code = 0
    else:
        return_code = 0

    if args.dump_json:
        out = _analysis_path(args.json_file)
        dump_redacted_json(out, analysis)
        print(f"Analysis JSON written to {out}")
    return return_code


def _load_json(path: Path) -> Any:
    try:
        return json.loads(path.read_text(encoding="utf-8"))
    except FileNotFoundError:
        raise SystemExit(f"File not found: {path}") from None
    except json.JSONDecodeError as exc:
        raise SystemExit(f"Invalid JSON in {path}: {exc}") from None


def _analysis_path(source: Path) -> Path:
    stem = source.stem.replace(".", "_")
    return Path("debug") / f"analysis_{stem}.json"


if __name__ == "__main__":
    raise SystemExit(main())