617 lines
22 KiB
Python
617 lines
22 KiB
Python
"""Validate pipeline outputs before Make stamps are touched."""
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from __future__ import annotations
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import argparse
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import json
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import sys
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import zipfile
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from pathlib import Path
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import polars as pl
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from shapely.geometry import shape
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from shapely.validation import explain_validity
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def _failures_for_file(path: Path) -> list[str]:
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if not path.exists():
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return [f"{path}: missing"]
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if not path.is_file():
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return [f"{path}: not a file"]
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try:
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size = path.stat().st_size
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except OSError as exc:
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return [f"{path}: unreadable metadata: {exc}"]
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if size <= 0:
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return [f"{path}: empty file"]
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return []
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def _failures_for_dir(path: Path) -> list[str]:
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if not path.exists():
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return [f"{path}: missing"]
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if not path.is_dir():
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return [f"{path}: not a directory"]
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try:
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if not any(not child.name.startswith(".") for child in path.iterdir()):
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return [f"{path}: empty directory"]
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except OSError as exc:
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return [f"{path}: unreadable directory: {exc}"]
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return []
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def _failures_for_parquet(path: Path) -> list[str]:
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failures = _failures_for_file(path)
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if failures:
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return failures
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try:
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row_count = pl.scan_parquet(path).select(pl.len()).collect().item()
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except Exception as exc:
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return [f"{path}: unreadable parquet: {exc}"]
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if row_count <= 0:
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return [f"{path}: parquet has no rows"]
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return []
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def _failures_for_zip(path: Path) -> list[str]:
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failures = _failures_for_file(path)
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if failures:
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return failures
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if not zipfile.is_zipfile(path):
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return [f"{path}: unreadable zip"]
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try:
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with zipfile.ZipFile(path) as archive:
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if not archive.namelist():
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return [f"{path}: zip has no members"]
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except Exception as exc:
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return [f"{path}: unreadable zip: {exc}"]
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return []
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def _split_glob(spec: str) -> tuple[Path, str]:
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if "::" not in spec:
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raise argparse.ArgumentTypeError(
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f"{spec!r} must use BASE::PATTERN, for example data::**/*.csv"
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)
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base, pattern = spec.split("::", 1)
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if not base or not pattern:
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raise argparse.ArgumentTypeError(f"{spec!r} must include BASE and PATTERN")
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return Path(base), pattern
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def _split_pair(spec: str, label: str) -> tuple[Path, Path]:
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if "::" not in spec:
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raise argparse.ArgumentTypeError(f"{spec!r} must use LEFT::RIGHT for {label}")
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left, right = spec.split("::", 1)
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if not left or not right:
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raise argparse.ArgumentTypeError(f"{spec!r} must include both paths")
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return Path(left), Path(right)
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def _canonical_postcode(value: object) -> str:
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compact = "".join(str(value).split()).upper()
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if len(compact) >= 5:
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return f"{compact[:-3]} {compact[-3:]}"
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return compact
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def _matched_files(spec: str) -> tuple[Path, str, list[Path]]:
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base, pattern = _split_glob(spec)
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if not base.exists():
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return base, pattern, []
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return base, pattern, sorted(path for path in base.glob(pattern) if path.is_file())
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def _failures_for_glob(spec: str) -> list[str]:
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base, pattern, paths = _matched_files(spec)
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if not paths:
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return [f"{base}: no files matched {pattern!r}"]
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failures: list[str] = []
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for path in paths:
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failures.extend(_failures_for_file(path))
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return failures
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def _failures_for_zip_glob(spec: str) -> list[str]:
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base, pattern, paths = _matched_files(spec)
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if not paths:
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return [f"{base}: no zip files matched {pattern!r}"]
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failures: list[str] = []
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for path in paths:
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failures.extend(_failures_for_zip(path))
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return failures
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def _postcode_column(columns: list[str]) -> str | None:
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for name in ("postcode", "Postcode", "pcds", "PCDS"):
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if name in columns:
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return name
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return None
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def _parquet_postcodes(path: Path) -> set[str]:
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schema = pl.scan_parquet(path).collect_schema()
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column = _postcode_column(schema.names())
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if column is None:
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raise ValueError(f"{path}: missing postcode column")
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values = (
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pl.scan_parquet(path)
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.select(pl.col(column).drop_nulls().unique())
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.collect()
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.get_column(column)
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.to_list()
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)
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return {
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_canonical_postcode(value) for value in values if _canonical_postcode(value)
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}
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def _active_english_arcgis_postcodes(path: Path) -> set[str]:
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schema = pl.scan_parquet(path).collect_schema()
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required = {"pcds", "ctry25cd", "doterm"}
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missing = sorted(required - set(schema.names()))
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if missing:
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raise ValueError(f"{path}: missing ArcGIS postcode columns: {missing}")
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values = (
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pl.read_parquet(path, columns=["pcds", "ctry25cd", "doterm"])
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.lazy()
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.filter(pl.col("ctry25cd") == "E92000001")
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.filter(pl.col("doterm").cast(pl.Utf8).is_null())
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.select(pl.col("pcds").drop_nulls().unique())
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.collect()
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.get_column("pcds")
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.to_list()
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)
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return {
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_canonical_postcode(value) for value in values if _canonical_postcode(value)
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}
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def _format_samples(samples: list[str]) -> str:
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return "; ".join(samples[:10])
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def _boundary_postcode_scan(path: Path) -> tuple[set[str], list[str]]:
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units_dir = path / "units" if (path / "units").is_dir() else path
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postcodes: set[str] = set()
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seen: dict[str, str] = {}
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failures: list[str] = []
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missing_postcode_samples: list[str] = []
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missing_geometry_samples: list[str] = []
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non_polygon_samples: list[str] = []
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invalid_geometry_samples: list[str] = []
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duplicate_samples: list[str] = []
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missing_postcode_count = 0
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missing_geometry_count = 0
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non_polygon_count = 0
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invalid_geometry_count = 0
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duplicate_count = 0
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for geojson_path in sorted(units_dir.glob("*.geojson")):
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try:
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with geojson_path.open("r", encoding="utf-8") as handle:
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data = json.load(handle)
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except Exception as exc:
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failures.append(f"{geojson_path}: unreadable GeoJSON: {exc}")
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continue
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for idx, feature in enumerate(data.get("features", [])):
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label = f"{geojson_path.name} feature {idx}"
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properties = feature.get("properties") or {}
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value = properties.get("postcodes")
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postcode = _canonical_postcode(value) if value is not None else ""
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if not postcode:
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missing_postcode_count += 1
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if len(missing_postcode_samples) < 10:
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missing_postcode_samples.append(label)
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else:
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if postcode in seen:
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duplicate_count += 1
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if len(duplicate_samples) < 10:
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duplicate_samples.append(
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f"{postcode} in {seen[postcode]} and {label}"
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)
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else:
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seen[postcode] = label
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postcodes.add(postcode)
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geometry_data = feature.get("geometry")
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if geometry_data is None:
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missing_geometry_count += 1
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if len(missing_geometry_samples) < 10:
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missing_geometry_samples.append(f"{postcode or label}")
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continue
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try:
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geom = shape(geometry_data)
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except Exception as exc:
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invalid_geometry_count += 1
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if len(invalid_geometry_samples) < 10:
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invalid_geometry_samples.append(f"{postcode or label}: {exc}")
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continue
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if geom.is_empty:
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missing_geometry_count += 1
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if len(missing_geometry_samples) < 10:
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missing_geometry_samples.append(f"{postcode or label}: empty")
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elif geom.geom_type not in {"Polygon", "MultiPolygon"}:
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non_polygon_count += 1
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if len(non_polygon_samples) < 10:
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non_polygon_samples.append(f"{postcode or label}: {geom.geom_type}")
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elif not geom.is_valid:
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invalid_geometry_count += 1
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if len(invalid_geometry_samples) < 10:
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invalid_geometry_samples.append(
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f"{postcode or label}: {explain_validity(geom)}"
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)
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if missing_postcode_count:
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failures.append(
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f"{path}: {missing_postcode_count:,} boundary features are missing "
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f"properties.postcodes; sample: {_format_samples(missing_postcode_samples)}"
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)
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if duplicate_count:
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failures.append(
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f"{path}: {duplicate_count:,} duplicate boundary postcode features; "
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f"sample: {_format_samples(duplicate_samples)}"
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)
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if missing_geometry_count:
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failures.append(
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f"{path}: {missing_geometry_count:,} boundary features are missing or empty "
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f"geometry; sample: {_format_samples(missing_geometry_samples)}"
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)
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if non_polygon_count:
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failures.append(
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f"{path}: {non_polygon_count:,} boundary features are not polygonal; "
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f"sample: {_format_samples(non_polygon_samples)}"
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)
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if invalid_geometry_count:
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failures.append(
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f"{path}: {invalid_geometry_count:,} invalid boundary geometries; "
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f"sample: {_format_samples(invalid_geometry_samples)}"
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)
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return postcodes, failures
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def _boundary_postcodes(path: Path) -> set[str]:
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postcodes, failures = _boundary_postcode_scan(path)
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if failures:
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raise ValueError("; ".join(failures))
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return postcodes
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def _sample(values: set[str]) -> str:
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return ", ".join(sorted(values)[:10])
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def _failures_for_postcode_boundary_match(spec: str) -> list[str]:
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parquet_path, boundaries_path = _split_pair(spec, "postcode boundary matching")
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failures = _failures_for_parquet(parquet_path) + _failures_for_dir(boundaries_path)
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if failures:
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return failures
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try:
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parquet_postcodes = _parquet_postcodes(parquet_path)
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boundary_postcodes, boundary_failures = _boundary_postcode_scan(boundaries_path)
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except Exception as exc:
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return [
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f"{parquet_path} / {boundaries_path}: postcode match check failed: {exc}"
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]
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failures = list(boundary_failures)
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if not boundary_postcodes:
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failures.append(f"{boundaries_path}: no boundary postcodes found")
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missing_boundaries = parquet_postcodes - boundary_postcodes
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orphan_boundaries = boundary_postcodes - parquet_postcodes
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if missing_boundaries:
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failures.append(
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f"{boundaries_path}: {len(missing_boundaries):,} postcodes from {parquet_path} "
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f"are missing boundaries; sample: {_sample(missing_boundaries)}"
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)
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if orphan_boundaries:
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failures.append(
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f"{boundaries_path}: {len(orphan_boundaries):,} boundary postcodes are absent from "
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f"{parquet_path}; sample: {_sample(orphan_boundaries)}"
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)
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return failures
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def _failures_for_active_postcode_boundary_match(spec: str) -> list[str]:
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arcgis_path, boundaries_path = _split_pair(
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spec, "active postcode boundary matching"
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)
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failures = _failures_for_parquet(arcgis_path) + _failures_for_dir(boundaries_path)
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if failures:
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return failures
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try:
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active_postcodes = _active_english_arcgis_postcodes(arcgis_path)
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boundary_postcodes, boundary_failures = _boundary_postcode_scan(boundaries_path)
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except Exception as exc:
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return [
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f"{arcgis_path} / {boundaries_path}: active postcode boundary check failed: {exc}"
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]
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failures = list(boundary_failures)
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if not boundary_postcodes:
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failures.append(f"{boundaries_path}: no boundary postcodes found")
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missing_boundaries = active_postcodes - boundary_postcodes
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orphan_boundaries = boundary_postcodes - active_postcodes
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if missing_boundaries:
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failures.append(
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f"{boundaries_path}: {len(missing_boundaries):,} active English postcodes "
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f"from {arcgis_path} are missing boundaries; sample: {_sample(missing_boundaries)}"
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)
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if orphan_boundaries:
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failures.append(
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f"{boundaries_path}: {len(orphan_boundaries):,} boundary postcodes are not "
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f"active English postcodes in {arcgis_path}; sample: {_sample(orphan_boundaries)}"
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)
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return failures
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def _failures_for_postcode_features(path: Path) -> list[str]:
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"""Validate the postcode feature output: unique Postcode, non-null lat/lon
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inside the England bbox, ctry25cd == E92000001, and every '% ' column in
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[0, 100]. Mirrors the in-build invariant (merge._validate_postcode_feature_output)
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so a stale/contaminated file on disk cannot pass `make`.
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"""
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failures = _failures_for_parquet(path)
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if failures:
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return failures
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try:
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names = pl.scan_parquet(path).collect_schema().names()
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required = {"Postcode", "lat", "lon", "ctry25cd"}
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missing = sorted(required - set(names))
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if missing:
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return [f"{path}: postcode features missing required columns: {missing}"]
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pct_cols = [c for c in names if c.startswith("% ")]
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df = (
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pl.scan_parquet(path)
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.select(["Postcode", "lat", "lon", "ctry25cd", *pct_cols])
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.collect()
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)
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except Exception as exc:
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return [f"{path}: postcode features validation failed: {exc}"]
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height = df.height
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if df["Postcode"].n_unique() != height:
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failures.append(
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f"{path}: Postcode is not unique "
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f"({height - df['Postcode'].n_unique():,} duplicate rows)"
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)
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# England bounding box (generous): lat 49.5-60N, lon -8 to 2.5E.
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bad_coords = df.filter(
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pl.col("lat").is_null()
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| pl.col("lon").is_null()
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| ~pl.col("lat").is_between(49.5, 60.0)
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| ~pl.col("lon").is_between(-8.0, 2.5)
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)
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if bad_coords.height:
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sample = bad_coords.get_column("Postcode").head(10).to_list()
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failures.append(
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f"{path}: {bad_coords.height:,} rows have null or out-of-England "
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f"lat/lon; sample: {_format_samples(sample)}"
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)
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bad_country = df.filter(pl.col("ctry25cd") != "E92000001")
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if bad_country.height:
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sample = bad_country.get_column("Postcode").head(10).to_list()
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failures.append(
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f"{path}: {bad_country.height:,} rows have ctry25cd != 'E92000001' "
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f"(non-England contamination); sample: {_format_samples(sample)}"
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)
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for col in pct_cols:
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out_of_range = df.filter(
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pl.col(col).is_not_null() & ~pl.col(col).is_between(0.0, 100.0)
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).height
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if out_of_range:
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failures.append(
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f"{path}: {col!r} has {out_of_range:,} values outside [0, 100]"
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)
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return failures
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def _failures_for_properties_subset(spec: str) -> list[str]:
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"""Validate that every properties Postcode exists in the postcode feature
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table (no orphan properties) and that numeric price columns are positive."""
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properties_path, postcode_path = _split_pair(spec, "properties subset")
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failures = _failures_for_parquet(properties_path) + _failures_for_parquet(
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postcode_path
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)
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if failures:
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return failures
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try:
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postcode_set = _parquet_postcodes(postcode_path)
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property_set = _parquet_postcodes(properties_path)
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except Exception as exc:
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return [f"{properties_path} / {postcode_path}: subset check failed: {exc}"]
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orphans = property_set - postcode_set
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if orphans:
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failures.append(
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f"{properties_path}: {len(orphans):,} property postcodes are absent from "
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f"{postcode_path}; sample: {_sample(orphans)}"
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)
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# Positivity check for genuine numeric price columns only (skip nested/list
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# columns like historical_prices, which contain "price" in the name).
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try:
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schema = pl.scan_parquet(properties_path).collect_schema()
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numeric = {
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pl.Int8, pl.Int16, pl.Int32, pl.Int64,
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pl.UInt8, pl.UInt16, pl.UInt32, pl.UInt64,
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pl.Float32, pl.Float64,
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}
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price_cols = [
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c
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for c, dtype in schema.items()
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if ("price" in c.lower() or "rent" in c.lower()) and dtype in numeric
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]
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for col in price_cols:
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bad = (
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pl.scan_parquet(properties_path)
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.filter(pl.col(col).is_not_null() & (pl.col(col) <= 0))
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.select(pl.len())
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.collect()
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.item()
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)
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if bad:
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failures.append(
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f"{properties_path}: {col!r} has {bad:,} non-positive values"
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)
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except Exception as exc:
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failures.append(f"{properties_path}: price positivity check failed: {exc}")
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return failures
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def _failures_for_price_index(path: Path) -> list[str]:
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"""Validate price_index.parquet structural integrity: required columns, a
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finite non-null log_index, and unique (sector, type_group, year) keys.
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n_pairs == 0 is intentionally NOT treated as a failure: those rows are
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legitimate hedonic/shrinkage fallbacks for sectors with too few repeat-sale
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pairs.
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"""
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failures = _failures_for_parquet(path)
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if failures:
|
|
return failures
|
|
|
|
try:
|
|
names = pl.scan_parquet(path).collect_schema().names()
|
|
required = {"sector", "type_group", "year", "log_index", "n_pairs"}
|
|
missing = sorted(required - set(names))
|
|
if missing:
|
|
return [f"{path}: price index missing required columns: {missing}"]
|
|
|
|
stats = (
|
|
pl.scan_parquet(path)
|
|
.select(
|
|
pl.len().alias("n"),
|
|
pl.col("log_index").null_count().alias("null_log"),
|
|
(~pl.col("log_index").is_finite()).sum().alias("nonfinite_log"),
|
|
pl.struct("sector", "type_group", "year").n_unique().alias("unique_keys"),
|
|
)
|
|
.collect()
|
|
.row(0, named=True)
|
|
)
|
|
except Exception as exc:
|
|
return [f"{path}: price index validation failed: {exc}"]
|
|
|
|
if stats["null_log"]:
|
|
failures.append(f"{path}: {stats['null_log']:,} rows have null log_index")
|
|
if stats["nonfinite_log"]:
|
|
failures.append(
|
|
f"{path}: {stats['nonfinite_log']:,} rows have non-finite log_index"
|
|
)
|
|
if stats["unique_keys"] != stats["n"]:
|
|
failures.append(
|
|
f"{path}: (sector, type_group, year) is not unique "
|
|
f"({stats['n'] - stats['unique_keys']:,} duplicate rows)"
|
|
)
|
|
|
|
return failures
|
|
|
|
|
|
def main() -> int:
|
|
parser = argparse.ArgumentParser(description=__doc__)
|
|
parser.add_argument("--file", action="append", default=[], type=Path)
|
|
parser.add_argument("--dir", action="append", default=[], type=Path)
|
|
parser.add_argument("--parquet", action="append", default=[], type=Path)
|
|
parser.add_argument("--zip", action="append", default=[], type=Path)
|
|
parser.add_argument(
|
|
"--glob",
|
|
action="append",
|
|
default=[],
|
|
help="Require at least one non-empty file matching BASE::PATTERN",
|
|
)
|
|
parser.add_argument(
|
|
"--zip-glob",
|
|
action="append",
|
|
default=[],
|
|
help="Require at least one readable zip matching BASE::PATTERN",
|
|
)
|
|
parser.add_argument(
|
|
"--postcode-boundary-match",
|
|
action="append",
|
|
default=[],
|
|
help="Require postcode parquet keys to exactly match boundary GeoJSON postcodes: PARQUET::DIR",
|
|
)
|
|
parser.add_argument(
|
|
"--active-postcode-boundary-match",
|
|
action="append",
|
|
default=[],
|
|
help=(
|
|
"Require active English ArcGIS postcodes to exactly match boundary "
|
|
"GeoJSON postcodes: ARCGIS_PARQUET::DIR"
|
|
),
|
|
)
|
|
parser.add_argument(
|
|
"--postcode-features",
|
|
action="append",
|
|
default=[],
|
|
type=Path,
|
|
help=(
|
|
"Validate a postcode feature parquet: unique Postcode, non-null "
|
|
"lat/lon in England, ctry25cd=E92000001, '% ' columns in [0,100]"
|
|
),
|
|
)
|
|
parser.add_argument(
|
|
"--properties-subset",
|
|
action="append",
|
|
default=[],
|
|
help="Require properties postcodes to be a subset of postcode keys: PROPERTIES::POSTCODE",
|
|
)
|
|
parser.add_argument(
|
|
"--price-index",
|
|
action="append",
|
|
default=[],
|
|
type=Path,
|
|
help="Validate price_index.parquet: finite log_index and unique (sector,type_group,year)",
|
|
)
|
|
args = parser.parse_args()
|
|
|
|
failures: list[str] = []
|
|
for path in args.file:
|
|
failures.extend(_failures_for_file(path))
|
|
for path in args.dir:
|
|
failures.extend(_failures_for_dir(path))
|
|
for path in args.parquet:
|
|
failures.extend(_failures_for_parquet(path))
|
|
for path in args.zip:
|
|
failures.extend(_failures_for_zip(path))
|
|
for spec in args.glob:
|
|
failures.extend(_failures_for_glob(spec))
|
|
for spec in args.zip_glob:
|
|
failures.extend(_failures_for_zip_glob(spec))
|
|
for spec in args.postcode_boundary_match:
|
|
failures.extend(_failures_for_postcode_boundary_match(spec))
|
|
for spec in args.active_postcode_boundary_match:
|
|
failures.extend(_failures_for_active_postcode_boundary_match(spec))
|
|
for path in args.postcode_features:
|
|
failures.extend(_failures_for_postcode_features(path))
|
|
for spec in args.properties_subset:
|
|
failures.extend(_failures_for_properties_subset(spec))
|
|
for path in args.price_index:
|
|
failures.extend(_failures_for_price_index(path))
|
|
|
|
if failures:
|
|
print("Output validation failed:", file=sys.stderr)
|
|
for failure in failures:
|
|
print(f" - {failure}", file=sys.stderr)
|
|
return 1
|
|
|
|
return 0
|
|
|
|
|
|
if __name__ == "__main__":
|
|
raise SystemExit(main())
|