Initial video AI analysis project

video_ai_analysis_poc/manifest.py

@@ -0,0 +1,35 @@
+from __future__ import annotations
+
+import json
+from pathlib import Path
+from typing import Any, Iterable
+
+
+def write_manifest(path: str | Path, records: Iterable[dict[str, Any]]) -> None:
+    manifest_path = Path(path).expanduser().resolve(strict=False)
+    manifest_path.parent.mkdir(parents=True, exist_ok=True)
+    with manifest_path.open("w", encoding="utf-8") as handle:
+        for record in records:
+            normalized = _normalize_record(record)
+            handle.write(
+                json.dumps(normalized, ensure_ascii=False, sort_keys=True) + "\n"
+            )
+
+
+def read_jsonl(path: str | Path) -> list[dict[str, Any]]:
+    jsonl_path = Path(path).expanduser().resolve(strict=False)
+    if not jsonl_path.exists():
+        return []
+    records = []
+    for line in jsonl_path.read_text(encoding="utf-8").splitlines():
+        if line.strip():
+            records.append(json.loads(line))
+    return records
+
+
+def _normalize_record(record: dict[str, Any]) -> dict[str, Any]:
+    normalized = dict(record)
+    normalized.setdefault("status", "pending")
+    normalized.setdefault("retry_count", 0)
+    normalized.setdefault("last_error", None)
+    return normalized