INITIAL COMMIT

scripts/analyze_dump.py

@@ -0,0 +1,110 @@
+#!/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())