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broadcast-areas: import LAs to wards dataset groups

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instead of our shonky groupings

Signed-off-by: Toby Lorne <toby.lornewelch-richards@digital.cabinet-office.gov.uk>
This commit is contained in:
Toby Lorne
2020-08-06 10:54:07 +01:00
parent dde285ef03
commit 3243faa9a9
1 changed files with 4 additions and 19 deletions
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23
notifications_utils/broadcast_areas/create-broadcast-areas-db.py
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@@ -145,31 +145,16 @@ for f in geojson.loads(wards_filepath.read_text())["features"]:
repo.insert_broadcast_areas(areas_to_add)
areas_to_add = []
seen = set()
for feature in geojson.loads(las_filepath.read_text())["features"]:
la_id = feature["properties"]["LAD19CD"]
group_name = feature["properties"]["LAD19NM"]
las_filepath = package_path / "Local Authorities May 2020.geojson"
if la_id in seen:
continue
seen.add(la_id)
for feature in geojson.loads(las_filepath.read_text())["features"]:
la_id = feature["properties"]["lad20cd"]
group_name = feature["properties"]["lad20nm"]
print(group_name) # noqa: T001
group_id = dataset_id + "-" + la_id
areas = repo.get_all_areas_for_group(group_id)
features = [geojson.loads(f) for _, _, f, _ in areas]
shapes = [sgeom.shape(f["geometry"]) for f in features]
if len(shapes) == 0:
continue
shape = shapes[0]
for other in shapes[1:]:
shape = shape.buffer(0).union(other.buffer(0))
feature = convert_shape_to_feature(shape)
simple_feature = deepcopy(feature)
simple_feature["geometry"] = simplify_geometry(simple_feature["geometry"])