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e4ca78634d
We’ve changed our simplification a bit so: - polygons have slightly more points (see https://github.com/alphagov/notifications-utils/pull/873) - the individual points have less precision (see https://github.com/alphagov/notifications-utils/pull/872) Overall this reduces the size of the data we’re storing from 74MB to 63MB, and should make any pages where we are rendering lots of coordinates load a bit quicker.
71 lines
1.9 KiB
Python
71 lines
1.9 KiB
Python
import pytest
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from app.models.broadcast_message import BroadcastMessage
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from tests import broadcast_message_json
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def test_simple_polygons(fake_uuid):
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broadcast_message = BroadcastMessage(broadcast_message_json(
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id_=fake_uuid,
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service_id=fake_uuid,
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template_id=fake_uuid,
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status='draft',
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created_by_id=fake_uuid,
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areas=[
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# Hackney Central
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'wd20-E05009372',
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# Hackney Wick
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'wd20-E05009374',
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],
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))
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assert [
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[
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len(polygon)
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for polygon in broadcast_message.polygons.as_coordinate_pairs_lat_long
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],
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[
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len(polygon)
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for polygon in broadcast_message.simple_polygons.as_coordinate_pairs_lat_long
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],
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] == [
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# One polygon for each area
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[27, 31],
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# Because the areas are close to each other, the simplification
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# and unioning process results in a single polygon with fewer
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# total coordinates
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[54],
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]
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def test_content_comes_from_attribute_not_template(fake_uuid):
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broadcast_message = BroadcastMessage(broadcast_message_json(
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id_=fake_uuid,
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service_id=fake_uuid,
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template_id=fake_uuid,
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status='draft',
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created_by_id=fake_uuid,
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))
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assert broadcast_message.content == 'This is a test'
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def test_raises_for_missing_areas(fake_uuid):
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broadcast_message = BroadcastMessage(broadcast_message_json(
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id_=fake_uuid,
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service_id=fake_uuid,
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template_id=fake_uuid,
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status='draft',
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created_by_id=fake_uuid,
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areas=[
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'wd20-E05009372',
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'something else',
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],
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))
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with pytest.raises(RuntimeError) as exception:
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broadcast_message.areas
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assert str(exception.value) == (
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'BroadcastMessage has 2 areas but 1 found in the library'
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)
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