faster calibration curve generation

jellyfin intergration

scripts/run_from_jellyfin.py

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+#!/usr/bin/env python3
+"""run_from_jellyfin.py — resolve a Jellyfin title to its media file and run scene_analyze.
+
+Looks up a Movie/Episode in Jellyfin, reads its on-disk Path (Jellyfin and this
+tool must share the same media mount), filters the gallery down to that
+title's credited cast (via filter_gallery's logic, fewer look-alike
+mismatches), and runs scene_analyze against the resolved file.
+
+Usage:
+    python scripts/run_from_jellyfin.py \\
+        --jellyfin-url http://jellyfin.local:8096 \\
+        --api-key YOUR_API_KEY \\
+        --title "The Matrix" \\
+        --gallery whole_gallery.json \\
+        -- --fps 5 --verbosity 2
+
+Anything after "--" is passed through unchanged to scene_analyze.
+"""
+
+import argparse
+import json
+import subprocess
+import sys
+import tempfile
+from pathlib import Path
+
+sys.path.insert(0, str(Path(__file__).resolve().parent))
+from filter_gallery import jf_get, find_item_id, fetch_cast_person_ids
+
+
+def fetch_item_path(base_url: str, api_key: str, item_id: str) -> tuple[str, str]:
+    """Return (Name, Path) for a Jellyfin item."""
+    data = jf_get(base_url, api_key, f"/Items/{item_id}", Fields="Path")
+    path = data.get("Path")
+    if not path:
+        raise ValueError(f"Item {item_id} has no Path (not a single media file?)")
+    return data.get("Name", item_id), path
+
+
+def main():
+    parser = argparse.ArgumentParser(
+        description=__doc__,
+        formatter_class=argparse.RawDescriptionHelpFormatter,
+    )
+    parser.add_argument("--jellyfin-url", required=True)
+    parser.add_argument("--api-key", required=True)
+    group = parser.add_mutually_exclusive_group(required=True)
+    group.add_argument("--item-id", help="Jellyfin item id of the title")
+    group.add_argument("--title", help="Title to search for (uses first match)")
+    parser.add_argument("--item-types", default="Movie,Episode",
+                         help="Item types to search when using --title (default: Movie,Episode)")
+    parser.add_argument("--gallery", required=True,
+                         help="Global gallery.json built by make_jellyfin_gallery.py")
+    parser.add_argument("--no-filter", action="store_true",
+                         help="Skip per-title cast filtering and pass --gallery through as-is")
+    parser.add_argument("--output", default=None,
+                         help="scene_analyze output JSON (default: <title>.json)")
+    parser.add_argument("--bin", default="build/scene_analyze",
+                         help="Path to scene_analyze binary (default: build/scene_analyze)")
+    parser.add_argument("--dry-run", action="store_true",
+                         help="Resolve and print the scene_analyze command without running it")
+    args, extra = parser.parse_known_args()
+    if extra and extra[0] == "--":
+        extra = extra[1:]
+
+    item_id = args.item_id
+    if item_id is None:
+        item_id = find_item_id(args.jellyfin_url, args.api_key, args.title, args.item_types.split(","))
+        print(f"Resolved title to item id {item_id}", file=sys.stderr)
+
+    name, movie_path = fetch_item_path(args.jellyfin_url, args.api_key, item_id)
+    print(f"Resolved {name!r} -> {movie_path}", file=sys.stderr)
+    if not Path(movie_path).is_file():
+        sys.exit(f"Resolved path does not exist on this filesystem: {movie_path}\n"
+                 f"(this tool must share Jellyfin's media mount)")
+
+    output = args.output or f"{name}.json"
+
+    gallery_path = args.gallery
+    filtered_file = None
+    if not args.no_filter:
+        cast_ids = fetch_cast_person_ids(args.jellyfin_url, args.api_key, item_id)
+        gallery = json.loads(Path(args.gallery).read_text())
+        actors = [a for a in gallery.get("actors", [])
+                  if (a.get("jellyfin_id") or a.get("jellyfin_person_id")) in cast_ids]
+        print(f"Filtered gallery to {len(actors)}/{len(gallery.get('actors', []))} "
+              f"actor(s) credited in {name!r}", file=sys.stderr)
+        filtered_file = tempfile.NamedTemporaryFile(
+            mode="w", suffix=".json", prefix="sae_gallery_", delete=False)
+        json.dump({"actors": actors}, filtered_file)
+        filtered_file.close()
+        gallery_path = filtered_file.name
+
+    cmd = [args.bin, "--movie", movie_path, "--gallery", gallery_path,
+           "--output", output, *extra]
+    print("Running:", " ".join(cmd), file=sys.stderr)
+
+    if args.dry_run:
+        return
+
+    try:
+        subprocess.run(cmd, check=True)
+    finally:
+        if filtered_file is not None:
+            Path(filtered_file.name).unlink(missing_ok=True)
+
+
+if __name__ == "__main__":
+    main()