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| import os |
| import argparse |
| from pathlib import Path |
| import pandas as pd |
| from pydantic import BaseModel, field_validator |
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|
| IMAGE_EXT = {".jpg", ".jpeg", ".png", ".webp"} |
| VIDEO_EXT = {".mp4", ".webm", ".avi", ".mov"} |
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|
| def clean_name(name: str) -> str: |
| return name.strip().replace(" ", "_") |
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|
| class MemeRecord(BaseModel): |
| image_file_name: str = "" |
| video_file_name: str = "" |
| category: str |
| caption: str = "" |
|
|
| @field_validator("image_file_name", "video_file_name") |
| @classmethod |
| def normalize_path(cls, v: str) -> str: |
| return v.replace("\\", "/") if v else "" |
|
|
| @field_validator("category") |
| @classmethod |
| def normalize_category(cls, v: str) -> str: |
| return clean_name(v) |
|
|
|
|
| def main(root: Path): |
| src = root / "meme" |
| if not src.exists(): |
| raise SystemExit(f"❌ Missing folder: {src}") |
|
|
| records: list[MemeRecord] = [] |
|
|
| for category_dir in src.iterdir(): |
| if not category_dir.is_dir(): |
| continue |
|
|
| category = clean_name(category_dir.name) |
|
|
| for root_dir, _, files in os.walk(category_dir): |
| for file in files: |
| path = Path(root_dir) / file |
| ext = path.suffix.lower() |
| rel = str(path.relative_to(root)) |
|
|
| if ext in IMAGE_EXT: |
| records.append( |
| MemeRecord( |
| image_file_name=rel, |
| video_file_name="", |
| category=category |
| ) |
| ) |
| elif ext in VIDEO_EXT: |
| records.append( |
| MemeRecord( |
| image_file_name="", |
| video_file_name=rel, |
| category=category |
| ) |
| ) |
|
|
| if not records: |
| raise SystemExit("❌ No media files found") |
|
|
| df = pd.DataFrame([r.model_dump() for r in records]) |
| df.to_csv(root / "metadata.csv", index=False) |
| |
|
|
| print(f"✔ Indexed {len(df)} files (HF streaming safe)") |
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|
|
| if __name__ == "__main__": |
| parser = argparse.ArgumentParser() |
| parser.add_argument("--root", type=Path, default=Path.cwd()) |
| args = parser.parse_args() |
| main(args.root) |
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