All changes

pipeline/download/broadband.py

@@ -45,7 +45,7 @@ def main() -> None:
     )
     args = parser.parse_args()
 
-    with tempfile.TemporaryDirectory(delete=False) as cache_dir:
+    with tempfile.TemporaryDirectory() as cache_dir:
         cache = Path(cache_dir)
         zip_path = cache / "broadband_performance.zip"
         extract_dir = cache / "extracted"
@@ -53,7 +53,6 @@ def main() -> None:
 
         download(PERFORMANCE_URL, zip_path)
         extract_zip(zip_path, extract_dir)
-        print(list((extract_dir / "202507_fixed_coverage_r01").glob("*")))
         extract_zip(
             extract_dir
             / "202507_fixed_coverage_r01"

pipeline/download/places.py

@@ -14,19 +14,7 @@ from tqdm import tqdm
 
 from .pois import UK_BBOX_EAST, UK_BBOX_NORTH, UK_BBOX_SOUTH, UK_BBOX_WEST
 
-PLACE_TYPES = {
-    "city",
-    # "borough",
-    # "town",
-    # "suburb",
-    # "quarter",
-    # "neighbourhood",
-    # "village",
-    # "hamlet",
-    # "locality",
-    # "island",
-    # "isolated_dwelling",
-}
+PLACE_TYPES = {"city"}
 
 # Suffixes to strip from raw station names before appending the typed suffix.
 _STATION_STRIP = (

pipeline/transform/merge.py

@@ -306,7 +306,7 @@ def _build(
         .rename(
             {
                 "date_of_transfer": "Date of last transaction",
-                "construction_age_band": "Construction age",
+                "construction_age_band": "Construction year",
                 "is_construction_date_approximate": "Is construction date approximate",
                 "pp_address": "Address per Property Register",
                 "epc_address": "Address per EPC",

pipeline/transform/postcode_boundaries/voronoi.py

@@ -2,6 +2,7 @@ from collections import defaultdict
 
 import numpy as np
 from scipy.spatial import Voronoi
+from scipy.spatial.qhull import QhullError
 from shapely import make_valid
 from shapely.geometry import MultiPolygon, Polygon
 from shapely.ops import unary_union
@@ -67,7 +68,7 @@ def compute_voronoi_regions(
 
     try:
         vor = Voronoi(all_points)
-    except Exception:
+    except (ValueError, QhullError):
         # Fallback: split boundary equally among all postcodes present
         all_pcs = list(dict.fromkeys(unique_pcs))
         if len(all_pcs) == 1:

pipeline/transform/transform_geosure.py

@@ -8,10 +8,14 @@ Source: Ordnance Survey GeoSure (Open Data)
 """
 
 import argparse
+from pathlib import Path
 
 import numpy as np
 import polars as pl
-from pathlib import Path
+import shapefile as shp
+from pyproj import Transformer
+from shapely import STRtree, points
+from shapely.geometry import shape as to_shapely
 
 _GEOSURE_RISKS = [
     ("CollapsibleDeposits", "collapsible_deposits_risk"),
@@ -25,11 +29,6 @@ _GEOSURE_RISKS = [
 
 def transform(geosure_dir: Path, arcgis_path: Path) -> pl.DataFrame:
     """Spatial-join GeoSure 5km hex grid risk data to postcode centroids."""
-    import shapefile as shp
-    from pyproj import Transformer
-    from shapely import STRtree, points
-    from shapely.geometry import shape as to_shapely
-
     to_wgs84 = Transformer.from_crs("EPSG:27700", "EPSG:4326", always_xy=True)
 
     print("Loading postcode centroids for GeoSure join...")