Datasets:
File size: 18,100 Bytes
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"""Audit C01 path completeness and file-family provenance coverage.
This audit is intentionally independent of the tool replay. It checks every
path declaration in the canonical 2,921-record source file, every physical
file under source_assets/, and every multi-hazard raster-sidecar source label.
"""
from __future__ import annotations
import argparse
import hashlib
import json
from collections import Counter, defaultdict
from pathlib import Path
from typing import Any
DEFAULT_ROOT = Path(__file__).resolve().parents[1]
CATEGORY_PROVENANCE = {
"D01": "Sentinel-1 GRD source raster or GDAL sidecar",
"D02": "Sentinel-2 L2A source raster or GDAL sidecar",
"D03": "Sentinel-2-derived RGB preview",
"D04": "Hansen GFC source/derived mask or GDAL sidecar",
"D05": "project-authored deforestation question",
"D06": "project-generated deforestation quality report",
"MH00": "multi-hazard sample-directory container handle",
"MH01": "project-authored AOI/metadata/handle manifest",
"MH02": "project-authored question, answer, or trajectory record",
"MH03": "project-generated quality report",
"MH04": "source-derived tabular baseline",
"MH05": "OpenStreetMap POI extract",
"MH06": "source-derived visualization panel",
"MH07": "WorldPop population raster and provider sidecar",
"MH08": "wildfire source/derived raster, sidecar, or GDAL sidecar",
"MH09": "deforestation source/derived raster or sidecar",
"MH10": "urban-expansion source/derived raster or sidecar",
"MH11": "drought source/derived raster or sidecar",
"MH12": "air-pollution source/derived raster or sidecar",
"MH13": "OpenAQ empty-query provenance (no measurements)",
"MH14": "project-authored train-only air-pollution normalization contract",
"MH15": "project-authored train-only drought normalization contract",
"R01": "legacy project-authored routing split export",
"R02": "CEMS flood-extent source vector",
"R03": "Sentinel-2 L2A raster/preview or GDAL sidecar",
"R04": "project-authored routing metadata with source identifiers",
"R05": "OSM+CEMS-derived road/route/score product",
"R06": "project-selected route answer",
"R07": "Sentinel-2+OSM+CEMS-derived route overlay",
"S01": "Sen1Floods11 Sentinel-1 chip or GDAL sidecar",
"S02": "Sen1Floods11 JRC-water layer or GDAL sidecar",
"S03": "Sen1Floods11 hand label or GDAL sidecar",
"S04": "legacy Sen1Floods11 Otsu derivative or GDAL sidecar",
"S05": "source-derived public preview or packaged overlay",
"S06": "project-generated hidden derivative of Sen1Floods11 hand labels",
"X01": "xBD pre/post imagery",
"X02": "xBD-label-derived target mask",
"X03": "xBD damage polygons or coordinate conversion",
"X04": "project-generated grid/quadrant geometry",
}
SOURCE_MARKERS = {
"COPERNICUS/S2_SR_HARMONIZED NBR": "COPERNICUS/S2_SR_HARMONIZED",
"COPERNICUS/S2_SR_HARMONIZED NDBI": "COPERNICUS/S2_SR_HARMONIZED",
"COPERNICUS/S2_SR_HARMONIZED NDVI": "COPERNICUS/S2_SR_HARMONIZED",
"COPERNICUS/S2_SR_HARMONIZED RGB": "COPERNICUS/S2_SR_HARMONIZED",
"COPERNICUS/S5P/OFFL/L3_CO CO": "COPERNICUS/S5P/OFFL/L3_CO",
"COPERNICUS/S5P/OFFL/L3_NO2 tropospheric NO2 * 1e6": "COPERNICUS/S5P/OFFL/L3_NO2",
"COPERNICUS/S5P/OFFL/L3_SO2 SO2 * 1e6": "COPERNICUS/S5P/OFFL/L3_SO2",
"ECMWF Copernicus Atmosphere Monitoring Service — CAMS Global Near-Real-Time": "ECMWF/CAMS/NRT",
"ECMWF/ERA5_LAND/DAILY_AGGR volumetric_soil_water_layer_1": "ECMWF/ERA5_LAND/DAILY_AGGR",
"ESA/WorldCover/v200 Map class 50 built-up": "ESA/WorldCover/v200",
"ESA WorldCover 2020 class 50 built-up": "ESA/WorldCover/v100",
"GOOGLE/DYNAMICWORLD/V1 built probability": "GOOGLE/DYNAMICWORLD/V1",
"JRC/GHSL/P2023A/GHS_BUILT_S 2020 built_surface>0": "JRC/GHSL/P2023A/GHS_BUILT_S",
"JRC/GHSL/P2023A/GHS_BUILT_S 2025 built_surface>0": "JRC/GHSL/P2023A/GHS_BUILT_S",
"LANDSAT/LC08+LC09/C02/T1_L2 NBR": "LANDSAT/LC08/C02/T1_L2",
"MODIS/061/MCD19A2_GRANULES Optical_Depth_047 * 0.001": "MODIS/061/MCD19A2_GRANULES",
"MODIS/061/MCD64A1 BurnDate": "MODIS/061/MCD64A1",
"MODIS/061/MOD13Q1 NDVI": "MODIS/061/MOD13Q1",
"NASA LP DAAC — VNP14A1.002 Thermal Anomalies/Fire Daily L3 Global 1 km": "NASA/VIIRS/002/VNP14A1",
"NASA LP DAAC — VNP21A1D.002 Day LST and Emissivity Daily 1 km": "NASA/VIIRS/002/VNP21A1D",
"National Interagency Fire Center — WFIGS Interagency Fire Perimeters": "WFIGS_Interagency_Perimeters/FeatureServer/0",
"Wageningen University & Research / Global Forest Watch — RADD Forest Disturbance Alerts v1": "projects/radar-wur/raddalert/v1",
"UCSB-CHG/CHIRPS/DAILY same-window z-score": "UCSB-CHG/CHIRPS/DAILY",
"UMD/hansen/global_forest_change_2025_v1_13 lossyear=2022": "UMD/hansen/global_forest_change_2025_v1_13",
"UMD/hansen/global_forest_change_2025_v1_13 treecover2000>30": "UMD/hansen/global_forest_change_2025_v1_13",
"EC JRC TMF v1_2023 AnnualChanges": "projects/JRC/TMF/v1_2023/AnnualChanges",
}
def sha256(path: Path) -> str:
digest = hashlib.sha256()
with path.open("rb") as stream:
for chunk in iter(lambda: stream.read(1024 * 1024), b""):
digest.update(chunk)
return digest.hexdigest()
def classify(relative: str) -> str | None:
parts = Path(relative).parts
if len(parts) < 2 or parts[0] != "source_assets":
return None
family = parts[1]
tail = "/".join(parts[2:])
if family == "deforestation":
if "/cache/s1_grd/" in f"/{tail}/":
return "D01"
if "/cache/s2/" in f"/{tail}/":
return "D02"
if "/visible/s2_rgb/" in f"/{tail}/":
return "D03"
if "/masks/" in f"/{tail}/":
return "D04"
if "/questions/" in f"/{tail}/":
return "D05"
if tail.endswith("/quality_report.json"):
return "D06"
if family == "multi_hazard":
if tail == "air_pollution/source_normalization.json":
return "MH14"
if len(parts) == 4:
return "MH00"
if tail.endswith(("/aoi.geojson", "/available_handles.json", "/metadata.json")):
return "MH01"
if any(f"/{name}/" in f"/{tail}/" for name in ("questions", "gt", "trajectories")):
return "MH02"
if tail.endswith("/quality_report.json"):
return "MH03"
if "/baselines/" in f"/{tail}/":
return "MH04"
if tail.endswith("/osm/pois.geojson"):
return "MH05"
if "/panels/" in f"/{tail}/":
return "MH06"
if tail.endswith(("/tabular/worldpop.tif", "/tabular/worldpop.json")):
return "MH07"
if tail.endswith("/drought_normalization.json"):
return "MH15"
if tail.endswith("/normalization.json"):
return "MH14"
if tail.endswith(("/tabular/openaq_stations.csv", "/tabular/openaq_status.json")):
return "MH13"
hazard = parts[2] if len(parts) > 2 else ""
if "/rasters/" in f"/{tail}/":
return {
"wildfire": "MH08",
"deforestation": "MH09",
"urban_expansion": "MH10",
"drought": "MH11",
"air_pollution": "MH12",
}.get(hazard)
if family == "routing":
if len(parts) == 3 and parts[2] in {"train.json", "val.json", "test.json"}:
return "R01"
if "/copernicus/" in f"/{tail}/":
return "R02"
if "/input/rgb" in f"/{tail}/":
return "R03"
if tail.endswith("/input/metadata.json"):
return "R04"
if "/derived/" in f"/{tail}/":
return "R05"
if tail.endswith("/ground_truth/selected_routes.json"):
return "R06"
if tail.endswith("/overlays/routes_overlay.png"):
return "R07"
if family == "sen1_flood":
if "/labels/S1Hand.tif" in f"/{tail}" or "/derived/S1Portable.tif" in f"/{tail}":
return "S01"
if "/labels/JRCWaterHand.tif" in f"/{tail}":
return "S02"
if "/labels/LabelHand.tif" in f"/{tail}":
return "S03"
if "/labels/S1OtsuLabelHand.tif" in f"/{tail}":
return "S04"
if "/public/" in f"/{tail}/":
return "S05"
if "/hidden/" in f"/{tail}/":
return "S06"
if family == "xbd_damage":
if tail.endswith(("/pre.png", "/post.png")):
return "X01"
if tail.endswith("/post_target.png"):
return "X02"
if tail.endswith(("/building_damage_xy.geojson", "/building_damage_lnglat.geojson")):
return "X03"
if tail.endswith(("/grid_4x4.geojson", "/quadrants.geojson")):
return "X04"
return None
def collect_path_cards(value: Any, record_id: str, trail: str = "") -> list[dict[str, Any]]:
cards: list[dict[str, Any]] = []
if isinstance(value, dict):
if isinstance(value.get("path"), str):
cards.append(
{
"record_id": record_id,
"trail": trail,
"path": value["path"],
"optional": bool(value.get("optional", False)),
"declared_exists": value.get("exists"),
}
)
for key, child in value.items():
child_trail = f"{trail}.{key}" if trail else key
cards.extend(collect_path_cards(child, record_id, child_trail))
elif isinstance(value, list):
for index, child in enumerate(value):
cards.extend(collect_path_cards(child, record_id, f"{trail}[{index}]"))
return cards
def main() -> None:
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument("--root", type=Path, default=DEFAULT_ROOT)
parser.add_argument(
"--mode",
choices=("thin", "hydrated", "development"),
default="thin",
help=(
"thin permits only the documented Sen1Floods11 hydration gap; "
"hydrated and development require every declared path."
),
)
parser.add_argument(
"--output",
type=Path,
default=None,
help="Optional report path. The audit is check-only and never overwrites tracked evidence by default.",
)
args = parser.parse_args()
root = args.root.expanduser().resolve()
canonical = root / "data/core/geodisaster_2921_source_with_splits.jsonl"
attributions = root / "ATTRIBUTIONS.md"
records = [json.loads(line) for line in canonical.open() if line.strip()]
declarations: list[dict[str, Any]] = []
for record in records:
declarations.extend(collect_path_cards(record, record["id"]))
by_path: dict[str, list[dict[str, Any]]] = defaultdict(list)
for card in declarations:
by_path[card["path"]].append(card)
required = {path for path, cards in by_path.items() if any(not card["optional"] for card in cards)}
optional_only = set(by_path) - required
missing_required = sorted(path for path in required if not (root / path).exists())
missing_optional = sorted(path for path in optional_only if not (root / path).exists())
permitted_thin_missing = sorted(
path
for path in missing_required
if path.startswith("source_assets/sen1_flood/")
and path.endswith(("/derived/S1Portable.tif", "/labels/JRCWaterHand.tif"))
)
unexpected_missing_required = (
sorted(set(missing_required) - set(permitted_thin_missing))
if args.mode == "thin"
else missing_required
)
outside = sorted(path for path in by_path if not path.startswith("source_assets/"))
flag_mismatches = []
for path, cards in by_path.items():
actual_exists = (root / path).exists()
for card in cards:
if card["declared_exists"] is not None and bool(card["declared_exists"]) != actual_exists:
if not (args.mode == "thin" and path in permitted_thin_missing):
flag_mismatches.append(card | {"actual_exists": actual_exists})
physical_files = [path for path in (root / "source_assets").rglob("*") if path.is_file()]
relative_files = [str(path.relative_to(root)) for path in physical_files]
unclassified_files = sorted(path for path in relative_files if classify(path) is None)
unclassified_references = sorted(path for path in by_path if classify(path) is None)
category_counts: dict[str, Counter[str]] = defaultdict(Counter)
for path in relative_files:
category = classify(path)
if category:
category_counts[category]["physical_files"] += 1
for path in by_path:
category = classify(path)
if category:
status = "required_paths" if path in required else "optional_paths"
category_counts[category][status] += 1
if not (root / path).exists():
category_counts[category]["missing_paths"] += 1
source_labels = set()
for sidecar in (root / "source_assets/multi_hazard").glob("*/*/rasters/*.json"):
payload = json.loads(sidecar.read_text())
if isinstance(payload.get("source"), str):
source_labels.add(payload["source"])
direct_labels = sorted(label for label in source_labels if not label.startswith("derived "))
derived_labels = sorted(label for label in source_labels if label.startswith("derived "))
attribution_text = attributions.read_text()
unmapped_labels = sorted(label for label in direct_labels if label not in SOURCE_MARKERS)
uncited_markers = sorted(
{SOURCE_MARKERS[label] for label in direct_labels if label in SOURCE_MARKERS and SOURCE_MARKERS[label] not in attribution_text}
)
referenced_existing_files = sum(1 for path in by_path if (root / path).is_file())
referenced_existing_directories = sum(1 for path in by_path if (root / path).is_dir())
physical_unreferenced = len(set(relative_files) - set(by_path))
suffix_counts = Counter(path.suffix.lower() or "<none>" for path in physical_files)
unregistered_category_keys = sorted(
category for category in category_counts if f"| {category} |" not in attribution_text
)
report = {
"audit": "c01_source_asset_registry_v1",
"inventory_mode": args.mode,
"root": str(root),
"canonical": str(canonical.relative_to(root)),
"canonical_sha256": sha256(canonical),
"record_count": len(records),
"path_declarations": {
"occurrences": len(declarations),
"unique": len(by_path),
"required_unique": len(required),
"optional_only_unique": len(optional_only),
"required_missing": len(missing_required),
"permitted_thin_missing": len(permitted_thin_missing) if args.mode == "thin" else 0,
"unexpected_required_missing": len(unexpected_missing_required),
"optional_missing": len(missing_optional),
"outside_source_assets": len(outside),
"declared_exists_mismatches": len(flag_mismatches),
"existing_file_paths": referenced_existing_files,
"existing_directory_paths": referenced_existing_directories,
},
"physical_inventory": {
"files": len(physical_files),
"referenced_files": referenced_existing_files,
"packaged_support_or_internal_files_not_directly_referenced": physical_unreferenced,
"suffix_counts": dict(sorted(suffix_counts.items())),
"unclassified_files": len(unclassified_files),
"unregistered_category_keys": unregistered_category_keys,
},
"source_sidecars": {
"unique_source_labels": len(source_labels),
"direct_source_labels": len(direct_labels),
"derived_source_labels": len(derived_labels),
"unmapped_direct_labels": unmapped_labels,
"citation_markers_absent_from_attributions": uncited_markers,
},
"category_counts": {
category: {"description": CATEGORY_PROVENANCE[category], **dict(sorted(counts.items()))}
for category, counts in sorted(category_counts.items())
},
"missing_required": missing_required,
"permitted_thin_missing": permitted_thin_missing if args.mode == "thin" else [],
"unexpected_missing_required": unexpected_missing_required,
"missing_optional": missing_optional,
"outside_source_assets": outside,
"declared_exists_mismatches": flag_mismatches,
"unclassified_physical_files": unclassified_files,
"unclassified_referenced_paths": unclassified_references,
"direct_source_labels": direct_labels,
"derived_source_labels": derived_labels,
}
output = args.output.expanduser().resolve() if args.output else None
if output is not None:
output.parent.mkdir(parents=True, exist_ok=True)
output.write_text(json.dumps(report, indent=2, sort_keys=True) + "\n")
print(json.dumps({
"mode": args.mode,
"output": str(output) if output else None,
"required_missing": len(missing_required),
"permitted_thin_missing": len(permitted_thin_missing) if args.mode == "thin" else 0,
"unexpected_required_missing": len(unexpected_missing_required),
"optional_missing": len(missing_optional),
"unclassified_files": len(unclassified_files),
"unclassified_references": len(unclassified_references),
"unmapped_source_labels": len(unmapped_labels),
"uncited_source_markers": len(uncited_markers),
"unregistered_category_keys": len(unregistered_category_keys),
}, indent=2))
if unexpected_missing_required or missing_optional or outside or flag_mismatches or unclassified_files or unclassified_references or unmapped_labels or uncited_markers or unregistered_category_keys:
raise SystemExit(1)
if __name__ == "__main__":
main()
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