Create build_dataset.py

scripts/build_dataset.py

@@ -0,0 +1,99 @@
+#!/usr/bin/env python3
+"""
+Build Hugging Face dataset artifacts from JSONL.
+
+- Loads data/mux_assets.jsonl
+- Runs a light validation (required fields + raw payload)
+- Builds a datasets.Dataset
+- Exports to Parquet at data/mux_assets.parquet
+
+Usage:
+  pip install -U datasets pyarrow
+  python scripts/build_dataset.py
+"""
+
+from __future__ import annotations
+
+import json
+import os
+from typing import Any, Dict, List
+
+from datasets import Dataset
+
+JSONL_PATH = os.path.join("data", "mux_assets.jsonl")
+PARQUET_PATH = os.path.join("data", "mux_assets.parquet")
+
+REQUIRED_FIELDS = [
+    "asset_id",
+    "upload_id",
+    "title",
+    "external_id",
+    "creator_id",
+    "status",
+    "video_quality",
+    "resolution_tier",
+    "duration_seconds",
+    "aspect_ratio",
+    "max_width",
+    "max_height",
+    "max_frame_rate",
+    "encoding_tier",
+    "normalize_audio",
+    "mp4_support",
+    "playback_policy",
+    "playback_id_public",
+    "video_track_id",
+    "audio_track_id",
+    "audio_primary",
+    "audio_channels",
+    "audio_language_code",
+    "created_at_unix",
+    "raw_mux_json",
+]
+
+
+def load_jsonl(path: str) -> List[Dict[str, Any]]:
+    rows: List[Dict[str, Any]] = []
+    with open(path, "r", encoding="utf-8") as f:
+        for i, line in enumerate(f, start=1):
+            line = line.strip()
+            if not line:
+                continue
+            try:
+                rows.append(json.loads(line))
+            except json.JSONDecodeError as e:
+                raise SystemExit(f"[ERROR] Invalid JSON on line {i}: {e}") from e
+    return rows
+
+
+def light_validate(rows: List[Dict[str, Any]]) -> None:
+    if not rows:
+        raise SystemExit("[ERROR] No rows found in JSONL.")
+    for idx, row in enumerate(rows):
+        missing = [k for k in REQUIRED_FIELDS if k not in row]
+        if missing:
+            raise SystemExit(f"[ERROR] Row {idx} missing required fields: {missing}")
+        if not isinstance(row["raw_mux_json"], dict):
+            raise SystemExit(f"[ERROR] Row {idx} raw_mux_json must be an object/dict.")
+
+
+def main() -> None:
+    if not os.path.exists(JSONL_PATH):
+        raise SystemExit(f"[ERROR] Missing file: {JSONL_PATH}")
+
+    rows = load_jsonl(JSONL_PATH)
+    light_validate(rows)
+
+    ds = Dataset.from_list(rows)
+
+    print("\n=== Dataset Preview ===")
+    print(ds)
+    print("\n=== Features ===")
+    print(ds.features)
+
+    ds.to_parquet(PARQUET_PATH)
+    print(f"\n[OK] Wrote Parquet: {PARQUET_PATH}")
+
+
+if __name__ == "__main__":
+    main()