File size: 2,500 Bytes
4f867e2 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 | #!/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()
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