Datasets:
| """Export the source registry to a flat CSV table: python -m fsbench.inventory > source_inventory.csv""" | |
| import sys | |
| import pandas as pd | |
| from .common import load_sources, project_root | |
| COLS = ["id", "name", "role", "family", "country", "device", "n_approx", "access", "license", "url", | |
| "normal_scope", "exclude_reason", "notes"] | |
| if __name__ == "__main__": | |
| src = load_sources(sys.argv[1] if len(sys.argv) > 1 else project_root() / "configs/sources.yaml") | |
| df = pd.DataFrame(src).reindex(columns=COLS) | |
| cls = lambda s: set(s["label_map"].values()) | {v for _, v in s["label_map_regex"]} | |
| df["classes"] = [",".join(c for c in "NDGA" if c in cls(s)) for s in src] | |
| df.to_csv(sys.stdout, index=False) | |