2020-08-10 10:46:31 +01:00
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import pytest
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2020-08-06 13:22:32 +01:00
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from app.broadcast_areas import (
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2020-07-24 12:54:22 +01:00
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BroadcastAreasRepository,
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Add broadcast area model, loading from GeoJSON
This commit adds a new model class which can be used by any app to
interact with a broadcast area. A broadcast area is one or more polygons
representing geographical areas.
It also adds some models that make browsing collections of these areas
more straightforward. So the hierarchy looks like:
> **BroadcastAreaLibraries*
> Contains multiple libraries of broadcast area
> > **BroadcastAreaLibrary**
> > A collection of geographic areas, all of the same type, for example
> > counties or electoral wards
> > **BroadcastArea**
> > Contains one or more shapes that make up an area, for example
> > England
> > > **BroadcastArea.polygons[n]**
> > > A single shape, for example the Isle of Wight or Lindisfarne
> > > > **BroadcastArea.polygons[n][o]**
> > > > A single coordinate along a polygons
The classes support iteration, so all the areas in a library can be
looped over, for example if `countries` is an instance of
`BroadcastAreaLibrary` you can do:
```python
for country in countries:
print(country.name)
```
The `BroadcastAreaLibraries` class also provides some useful methods for
quickly getting the polygons for an area or areas, for example to
render them on a map. So if `libraries` is an instance of
`BroadcastAreaLibraries` you can do:
```python
libraries.get_polygons_for_areas_long_lat('england', 'wales')
```
This will give polygons for the Welsh mainland, the Isle of Wight,
Anglesey, etc.
The models load data from GeoJSON files, which is an open standard for
serialising geographic data. I’ve added a few example files taken from
http://geoportal.statistics.gov.uk to show how it works.
2020-07-06 10:53:40 +01:00
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broadcast_area_libraries,
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)
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2020-09-16 14:14:41 +01:00
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from app.broadcast_areas.populations import (
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CITY_OF_LONDON,
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estimate_number_of_smartphones_for_population,
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)
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Add broadcast area model, loading from GeoJSON
This commit adds a new model class which can be used by any app to
interact with a broadcast area. A broadcast area is one or more polygons
representing geographical areas.
It also adds some models that make browsing collections of these areas
more straightforward. So the hierarchy looks like:
> **BroadcastAreaLibraries*
> Contains multiple libraries of broadcast area
> > **BroadcastAreaLibrary**
> > A collection of geographic areas, all of the same type, for example
> > counties or electoral wards
> > **BroadcastArea**
> > Contains one or more shapes that make up an area, for example
> > England
> > > **BroadcastArea.polygons[n]**
> > > A single shape, for example the Isle of Wight or Lindisfarne
> > > > **BroadcastArea.polygons[n][o]**
> > > > A single coordinate along a polygons
The classes support iteration, so all the areas in a library can be
looped over, for example if `countries` is an instance of
`BroadcastAreaLibrary` you can do:
```python
for country in countries:
print(country.name)
```
The `BroadcastAreaLibraries` class also provides some useful methods for
quickly getting the polygons for an area or areas, for example to
render them on a map. So if `libraries` is an instance of
`BroadcastAreaLibraries` you can do:
```python
libraries.get_polygons_for_areas_long_lat('england', 'wales')
```
This will give polygons for the Welsh mainland, the Isle of Wight,
Anglesey, etc.
The models load data from GeoJSON files, which is an open standard for
serialising geographic data. I’ve added a few example files taken from
http://geoportal.statistics.gov.uk to show how it works.
2020-07-06 10:53:40 +01:00
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def test_loads_libraries():
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assert [
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2020-07-31 13:21:21 +01:00
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(library.id, library.name, library.is_group) for library in sorted(broadcast_area_libraries)
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Add broadcast area model, loading from GeoJSON
This commit adds a new model class which can be used by any app to
interact with a broadcast area. A broadcast area is one or more polygons
representing geographical areas.
It also adds some models that make browsing collections of these areas
more straightforward. So the hierarchy looks like:
> **BroadcastAreaLibraries*
> Contains multiple libraries of broadcast area
> > **BroadcastAreaLibrary**
> > A collection of geographic areas, all of the same type, for example
> > counties or electoral wards
> > **BroadcastArea**
> > Contains one or more shapes that make up an area, for example
> > England
> > > **BroadcastArea.polygons[n]**
> > > A single shape, for example the Isle of Wight or Lindisfarne
> > > > **BroadcastArea.polygons[n][o]**
> > > > A single coordinate along a polygons
The classes support iteration, so all the areas in a library can be
looped over, for example if `countries` is an instance of
`BroadcastAreaLibrary` you can do:
```python
for country in countries:
print(country.name)
```
The `BroadcastAreaLibraries` class also provides some useful methods for
quickly getting the polygons for an area or areas, for example to
render them on a map. So if `libraries` is an instance of
`BroadcastAreaLibraries` you can do:
```python
libraries.get_polygons_for_areas_long_lat('england', 'wales')
```
This will give polygons for the Welsh mainland, the Isle of Wight,
Anglesey, etc.
The models load data from GeoJSON files, which is an open standard for
serialising geographic data. I’ve added a few example files taken from
http://geoportal.statistics.gov.uk to show how it works.
2020-07-06 10:53:40 +01:00
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] == [
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(
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2020-08-13 12:25:22 +01:00
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'ctry19',
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Add broadcast area model, loading from GeoJSON
This commit adds a new model class which can be used by any app to
interact with a broadcast area. A broadcast area is one or more polygons
representing geographical areas.
It also adds some models that make browsing collections of these areas
more straightforward. So the hierarchy looks like:
> **BroadcastAreaLibraries*
> Contains multiple libraries of broadcast area
> > **BroadcastAreaLibrary**
> > A collection of geographic areas, all of the same type, for example
> > counties or electoral wards
> > **BroadcastArea**
> > Contains one or more shapes that make up an area, for example
> > England
> > > **BroadcastArea.polygons[n]**
> > > A single shape, for example the Isle of Wight or Lindisfarne
> > > > **BroadcastArea.polygons[n][o]**
> > > > A single coordinate along a polygons
The classes support iteration, so all the areas in a library can be
looped over, for example if `countries` is an instance of
`BroadcastAreaLibrary` you can do:
```python
for country in countries:
print(country.name)
```
The `BroadcastAreaLibraries` class also provides some useful methods for
quickly getting the polygons for an area or areas, for example to
render them on a map. So if `libraries` is an instance of
`BroadcastAreaLibraries` you can do:
```python
libraries.get_polygons_for_areas_long_lat('england', 'wales')
```
This will give polygons for the Welsh mainland, the Isle of Wight,
Anglesey, etc.
The models load data from GeoJSON files, which is an open standard for
serialising geographic data. I’ve added a few example files taken from
http://geoportal.statistics.gov.uk to show how it works.
2020-07-06 10:53:40 +01:00
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'Countries',
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2020-07-31 13:21:21 +01:00
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False,
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Add broadcast area model, loading from GeoJSON
This commit adds a new model class which can be used by any app to
interact with a broadcast area. A broadcast area is one or more polygons
representing geographical areas.
It also adds some models that make browsing collections of these areas
more straightforward. So the hierarchy looks like:
> **BroadcastAreaLibraries*
> Contains multiple libraries of broadcast area
> > **BroadcastAreaLibrary**
> > A collection of geographic areas, all of the same type, for example
> > counties or electoral wards
> > **BroadcastArea**
> > Contains one or more shapes that make up an area, for example
> > England
> > > **BroadcastArea.polygons[n]**
> > > A single shape, for example the Isle of Wight or Lindisfarne
> > > > **BroadcastArea.polygons[n][o]**
> > > > A single coordinate along a polygons
The classes support iteration, so all the areas in a library can be
looped over, for example if `countries` is an instance of
`BroadcastAreaLibrary` you can do:
```python
for country in countries:
print(country.name)
```
The `BroadcastAreaLibraries` class also provides some useful methods for
quickly getting the polygons for an area or areas, for example to
render them on a map. So if `libraries` is an instance of
`BroadcastAreaLibraries` you can do:
```python
libraries.get_polygons_for_areas_long_lat('england', 'wales')
```
This will give polygons for the Welsh mainland, the Isle of Wight,
Anglesey, etc.
The models load data from GeoJSON files, which is an open standard for
serialising geographic data. I’ve added a few example files taken from
http://geoportal.statistics.gov.uk to show how it works.
2020-07-06 10:53:40 +01:00
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),
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2020-07-24 16:47:12 +01:00
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(
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add counties page
What was previously ward -> local authority is now a ward -> local
authority -> county. County only covers rural counties and not
metropolitan boroughs and other unitary authorities. Previously, there
was a page full of local authorities (unitary authorities and
districts), and each one of those would have a list of electoral wards.
However, now there are counties that contain a list of districts - so
this needs a new page - a checkbox for "select the county" and then a
list of links to district pages.
If you want to select multiple districts, you'll need to go into each
one of those sub-sections in turn and click select all.
Needed to tweak the query to retrieve the list of areas in a list for a
library. Previously, it just returned anything at top level (ie: didn't
have a parent). However, rural districts now have parents (the rural
counties themselves). So the query now returns "everything that isn't a
leaf node", or in more specific terms, everything that has at least
other row referring to it as a parent. So no electoral wards, since
they dont have any children, but yes to districts and counties.
2020-09-04 15:22:32 +01:00
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'wd20-lad20-ctyua19',
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2020-08-13 12:25:22 +01:00
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'Local authorities',
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2020-07-31 13:21:21 +01:00
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True,
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2020-07-24 16:47:12 +01:00
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),
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Add broadcast area model, loading from GeoJSON
This commit adds a new model class which can be used by any app to
interact with a broadcast area. A broadcast area is one or more polygons
representing geographical areas.
It also adds some models that make browsing collections of these areas
more straightforward. So the hierarchy looks like:
> **BroadcastAreaLibraries*
> Contains multiple libraries of broadcast area
> > **BroadcastAreaLibrary**
> > A collection of geographic areas, all of the same type, for example
> > counties or electoral wards
> > **BroadcastArea**
> > Contains one or more shapes that make up an area, for example
> > England
> > > **BroadcastArea.polygons[n]**
> > > A single shape, for example the Isle of Wight or Lindisfarne
> > > > **BroadcastArea.polygons[n][o]**
> > > > A single coordinate along a polygons
The classes support iteration, so all the areas in a library can be
looped over, for example if `countries` is an instance of
`BroadcastAreaLibrary` you can do:
```python
for country in countries:
print(country.name)
```
The `BroadcastAreaLibraries` class also provides some useful methods for
quickly getting the polygons for an area or areas, for example to
render them on a map. So if `libraries` is an instance of
`BroadcastAreaLibraries` you can do:
```python
libraries.get_polygons_for_areas_long_lat('england', 'wales')
```
This will give polygons for the Welsh mainland, the Isle of Wight,
Anglesey, etc.
The models load data from GeoJSON files, which is an open standard for
serialising geographic data. I’ve added a few example files taken from
http://geoportal.statistics.gov.uk to show how it works.
2020-07-06 10:53:40 +01:00
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]
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def test_loads_areas_from_library():
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assert [
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(area.id, area.name) for area in sorted(
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2020-08-13 12:25:22 +01:00
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broadcast_area_libraries.get('ctry19')
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Add broadcast area model, loading from GeoJSON
This commit adds a new model class which can be used by any app to
interact with a broadcast area. A broadcast area is one or more polygons
representing geographical areas.
It also adds some models that make browsing collections of these areas
more straightforward. So the hierarchy looks like:
> **BroadcastAreaLibraries*
> Contains multiple libraries of broadcast area
> > **BroadcastAreaLibrary**
> > A collection of geographic areas, all of the same type, for example
> > counties or electoral wards
> > **BroadcastArea**
> > Contains one or more shapes that make up an area, for example
> > England
> > > **BroadcastArea.polygons[n]**
> > > A single shape, for example the Isle of Wight or Lindisfarne
> > > > **BroadcastArea.polygons[n][o]**
> > > > A single coordinate along a polygons
The classes support iteration, so all the areas in a library can be
looped over, for example if `countries` is an instance of
`BroadcastAreaLibrary` you can do:
```python
for country in countries:
print(country.name)
```
The `BroadcastAreaLibraries` class also provides some useful methods for
quickly getting the polygons for an area or areas, for example to
render them on a map. So if `libraries` is an instance of
`BroadcastAreaLibraries` you can do:
```python
libraries.get_polygons_for_areas_long_lat('england', 'wales')
```
This will give polygons for the Welsh mainland, the Isle of Wight,
Anglesey, etc.
The models load data from GeoJSON files, which is an open standard for
serialising geographic data. I’ve added a few example files taken from
http://geoportal.statistics.gov.uk to show how it works.
2020-07-06 10:53:40 +01:00
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)
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] == [
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2020-08-13 12:25:22 +01:00
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('ctry19-E92000001', 'England'),
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('ctry19-N92000002', 'Northern Ireland'),
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('ctry19-S92000003', 'Scotland'),
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('ctry19-W92000004', 'Wales'),
|
Add broadcast area model, loading from GeoJSON
This commit adds a new model class which can be used by any app to
interact with a broadcast area. A broadcast area is one or more polygons
representing geographical areas.
It also adds some models that make browsing collections of these areas
more straightforward. So the hierarchy looks like:
> **BroadcastAreaLibraries*
> Contains multiple libraries of broadcast area
> > **BroadcastAreaLibrary**
> > A collection of geographic areas, all of the same type, for example
> > counties or electoral wards
> > **BroadcastArea**
> > Contains one or more shapes that make up an area, for example
> > England
> > > **BroadcastArea.polygons[n]**
> > > A single shape, for example the Isle of Wight or Lindisfarne
> > > > **BroadcastArea.polygons[n][o]**
> > > > A single coordinate along a polygons
The classes support iteration, so all the areas in a library can be
looped over, for example if `countries` is an instance of
`BroadcastAreaLibrary` you can do:
```python
for country in countries:
print(country.name)
```
The `BroadcastAreaLibraries` class also provides some useful methods for
quickly getting the polygons for an area or areas, for example to
render them on a map. So if `libraries` is an instance of
`BroadcastAreaLibraries` you can do:
```python
libraries.get_polygons_for_areas_long_lat('england', 'wales')
```
This will give polygons for the Welsh mainland, the Isle of Wight,
Anglesey, etc.
The models load data from GeoJSON files, which is an open standard for
serialising geographic data. I’ve added a few example files taken from
http://geoportal.statistics.gov.uk to show how it works.
2020-07-06 10:53:40 +01:00
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]
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def test_examples():
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2020-08-13 12:25:22 +01:00
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countries = broadcast_area_libraries.get('ctry19').get_examples()
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2020-09-09 17:35:17 +01:00
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assert countries == 'England, Northern Ireland, Scotland and Wales'
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2020-08-11 11:33:27 +01:00
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add counties page
What was previously ward -> local authority is now a ward -> local
authority -> county. County only covers rural counties and not
metropolitan boroughs and other unitary authorities. Previously, there
was a page full of local authorities (unitary authorities and
districts), and each one of those would have a list of electoral wards.
However, now there are counties that contain a list of districts - so
this needs a new page - a checkbox for "select the county" and then a
list of links to district pages.
If you want to select multiple districts, you'll need to go into each
one of those sub-sections in turn and click select all.
Needed to tweak the query to retrieve the list of areas in a list for a
library. Previously, it just returned anything at top level (ie: didn't
have a parent). However, rural districts now have parents (the rural
counties themselves). So the query now returns "everything that isn't a
leaf node", or in more specific terms, everything that has at least
other row referring to it as a parent. So no electoral wards, since
they dont have any children, but yes to districts and counties.
2020-09-04 15:22:32 +01:00
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wards = broadcast_area_libraries.get('wd20-lad20-ctyua19').get_examples()
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2020-09-09 17:35:17 +01:00
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assert wards == 'Aberdeen City, Aberdeenshire, Adur and 391 more…'
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Add broadcast area model, loading from GeoJSON
This commit adds a new model class which can be used by any app to
interact with a broadcast area. A broadcast area is one or more polygons
representing geographical areas.
It also adds some models that make browsing collections of these areas
more straightforward. So the hierarchy looks like:
> **BroadcastAreaLibraries*
> Contains multiple libraries of broadcast area
> > **BroadcastAreaLibrary**
> > A collection of geographic areas, all of the same type, for example
> > counties or electoral wards
> > **BroadcastArea**
> > Contains one or more shapes that make up an area, for example
> > England
> > > **BroadcastArea.polygons[n]**
> > > A single shape, for example the Isle of Wight or Lindisfarne
> > > > **BroadcastArea.polygons[n][o]**
> > > > A single coordinate along a polygons
The classes support iteration, so all the areas in a library can be
looped over, for example if `countries` is an instance of
`BroadcastAreaLibrary` you can do:
```python
for country in countries:
print(country.name)
```
The `BroadcastAreaLibraries` class also provides some useful methods for
quickly getting the polygons for an area or areas, for example to
render them on a map. So if `libraries` is an instance of
`BroadcastAreaLibraries` you can do:
```python
libraries.get_polygons_for_areas_long_lat('england', 'wales')
```
This will give polygons for the Welsh mainland, the Isle of Wight,
Anglesey, etc.
The models load data from GeoJSON files, which is an open standard for
serialising geographic data. I’ve added a few example files taken from
http://geoportal.statistics.gov.uk to show how it works.
2020-07-06 10:53:40 +01:00
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@pytest.mark.parametrize('id', (
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2020-08-13 12:25:22 +01:00
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'ctry19-E92000001',
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'ctry19-N92000002',
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'ctry19-S92000003',
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'ctry19-W92000004',
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Add broadcast area model, loading from GeoJSON
This commit adds a new model class which can be used by any app to
interact with a broadcast area. A broadcast area is one or more polygons
representing geographical areas.
It also adds some models that make browsing collections of these areas
more straightforward. So the hierarchy looks like:
> **BroadcastAreaLibraries*
> Contains multiple libraries of broadcast area
> > **BroadcastAreaLibrary**
> > A collection of geographic areas, all of the same type, for example
> > counties or electoral wards
> > **BroadcastArea**
> > Contains one or more shapes that make up an area, for example
> > England
> > > **BroadcastArea.polygons[n]**
> > > A single shape, for example the Isle of Wight or Lindisfarne
> > > > **BroadcastArea.polygons[n][o]**
> > > > A single coordinate along a polygons
The classes support iteration, so all the areas in a library can be
looped over, for example if `countries` is an instance of
`BroadcastAreaLibrary` you can do:
```python
for country in countries:
print(country.name)
```
The `BroadcastAreaLibraries` class also provides some useful methods for
quickly getting the polygons for an area or areas, for example to
render them on a map. So if `libraries` is an instance of
`BroadcastAreaLibraries` you can do:
```python
libraries.get_polygons_for_areas_long_lat('england', 'wales')
```
This will give polygons for the Welsh mainland, the Isle of Wight,
Anglesey, etc.
The models load data from GeoJSON files, which is an open standard for
serialising geographic data. I’ve added a few example files taken from
http://geoportal.statistics.gov.uk to show how it works.
2020-07-06 10:53:40 +01:00
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pytest.param('mercia', marks=pytest.mark.xfail(raises=KeyError)),
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))
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def test_loads_areas_from_libraries(id):
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assert (
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2020-08-13 12:25:22 +01:00
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broadcast_area_libraries.get('ctry19').get(id)
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Add broadcast area model, loading from GeoJSON
This commit adds a new model class which can be used by any app to
interact with a broadcast area. A broadcast area is one or more polygons
representing geographical areas.
It also adds some models that make browsing collections of these areas
more straightforward. So the hierarchy looks like:
> **BroadcastAreaLibraries*
> Contains multiple libraries of broadcast area
> > **BroadcastAreaLibrary**
> > A collection of geographic areas, all of the same type, for example
> > counties or electoral wards
> > **BroadcastArea**
> > Contains one or more shapes that make up an area, for example
> > England
> > > **BroadcastArea.polygons[n]**
> > > A single shape, for example the Isle of Wight or Lindisfarne
> > > > **BroadcastArea.polygons[n][o]**
> > > > A single coordinate along a polygons
The classes support iteration, so all the areas in a library can be
looped over, for example if `countries` is an instance of
`BroadcastAreaLibrary` you can do:
```python
for country in countries:
print(country.name)
```
The `BroadcastAreaLibraries` class also provides some useful methods for
quickly getting the polygons for an area or areas, for example to
render them on a map. So if `libraries` is an instance of
`BroadcastAreaLibraries` you can do:
```python
libraries.get_polygons_for_areas_long_lat('england', 'wales')
```
This will give polygons for the Welsh mainland, the Isle of Wight,
Anglesey, etc.
The models load data from GeoJSON files, which is an open standard for
serialising geographic data. I’ve added a few example files taken from
http://geoportal.statistics.gov.uk to show how it works.
2020-07-06 10:53:40 +01:00
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) == (
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broadcast_area_libraries.get_areas(id)[0]
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)
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def test_get_names_of_areas():
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areas = broadcast_area_libraries.get_areas(
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2020-08-13 12:25:22 +01:00
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'ctry19-W92000004',
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'lad20-W06000014',
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'ctry19-E92000001',
|
Add broadcast area model, loading from GeoJSON
This commit adds a new model class which can be used by any app to
interact with a broadcast area. A broadcast area is one or more polygons
representing geographical areas.
It also adds some models that make browsing collections of these areas
more straightforward. So the hierarchy looks like:
> **BroadcastAreaLibraries*
> Contains multiple libraries of broadcast area
> > **BroadcastAreaLibrary**
> > A collection of geographic areas, all of the same type, for example
> > counties or electoral wards
> > **BroadcastArea**
> > Contains one or more shapes that make up an area, for example
> > England
> > > **BroadcastArea.polygons[n]**
> > > A single shape, for example the Isle of Wight or Lindisfarne
> > > > **BroadcastArea.polygons[n][o]**
> > > > A single coordinate along a polygons
The classes support iteration, so all the areas in a library can be
looped over, for example if `countries` is an instance of
`BroadcastAreaLibrary` you can do:
```python
for country in countries:
print(country.name)
```
The `BroadcastAreaLibraries` class also provides some useful methods for
quickly getting the polygons for an area or areas, for example to
render them on a map. So if `libraries` is an instance of
`BroadcastAreaLibraries` you can do:
```python
libraries.get_polygons_for_areas_long_lat('england', 'wales')
```
This will give polygons for the Welsh mainland, the Isle of Wight,
Anglesey, etc.
The models load data from GeoJSON files, which is an open standard for
serialising geographic data. I’ve added a few example files taken from
http://geoportal.statistics.gov.uk to show how it works.
2020-07-06 10:53:40 +01:00
|
|
|
|
)
|
|
|
|
|
|
assert [area.name for area in sorted(areas)] == [
|
2020-08-13 12:27:55 +01:00
|
|
|
|
'England', 'Vale of Glamorgan', 'Wales',
|
Add broadcast area model, loading from GeoJSON
This commit adds a new model class which can be used by any app to
interact with a broadcast area. A broadcast area is one or more polygons
representing geographical areas.
It also adds some models that make browsing collections of these areas
more straightforward. So the hierarchy looks like:
> **BroadcastAreaLibraries*
> Contains multiple libraries of broadcast area
> > **BroadcastAreaLibrary**
> > A collection of geographic areas, all of the same type, for example
> > counties or electoral wards
> > **BroadcastArea**
> > Contains one or more shapes that make up an area, for example
> > England
> > > **BroadcastArea.polygons[n]**
> > > A single shape, for example the Isle of Wight or Lindisfarne
> > > > **BroadcastArea.polygons[n][o]**
> > > > A single coordinate along a polygons
The classes support iteration, so all the areas in a library can be
looped over, for example if `countries` is an instance of
`BroadcastAreaLibrary` you can do:
```python
for country in countries:
print(country.name)
```
The `BroadcastAreaLibraries` class also provides some useful methods for
quickly getting the polygons for an area or areas, for example to
render them on a map. So if `libraries` is an instance of
`BroadcastAreaLibraries` you can do:
```python
libraries.get_polygons_for_areas_long_lat('england', 'wales')
```
This will give polygons for the Welsh mainland, the Isle of Wight,
Anglesey, etc.
The models load data from GeoJSON files, which is an open standard for
serialising geographic data. I’ve added a few example files taken from
http://geoportal.statistics.gov.uk to show how it works.
2020-07-06 10:53:40 +01:00
|
|
|
|
]
|
|
|
|
|
|
|
|
|
|
|
|
|
2020-07-09 19:10:51 +01:00
|
|
|
|
def test_get_areas_accepts_lists():
|
|
|
|
|
|
areas_from_list = broadcast_area_libraries.get_areas(
|
2020-08-10 13:19:16 +01:00
|
|
|
|
[
|
2020-08-13 12:25:22 +01:00
|
|
|
|
'ctry19-W92000004',
|
|
|
|
|
|
'ctry19-E92000001',
|
2020-08-10 13:19:16 +01:00
|
|
|
|
]
|
2020-07-09 19:10:51 +01:00
|
|
|
|
)
|
|
|
|
|
|
areas_from_args = broadcast_area_libraries.get_areas(
|
2020-08-13 12:25:22 +01:00
|
|
|
|
'ctry19-W92000004',
|
|
|
|
|
|
'ctry19-E92000001',
|
2020-07-09 19:10:51 +01:00
|
|
|
|
)
|
2020-08-13 12:27:55 +01:00
|
|
|
|
assert len(areas_from_args) == len(areas_from_list) == 2
|
2020-07-09 19:10:51 +01:00
|
|
|
|
assert areas_from_args == areas_from_list
|
|
|
|
|
|
|
|
|
|
|
|
|
Add broadcast area model, loading from GeoJSON
This commit adds a new model class which can be used by any app to
interact with a broadcast area. A broadcast area is one or more polygons
representing geographical areas.
It also adds some models that make browsing collections of these areas
more straightforward. So the hierarchy looks like:
> **BroadcastAreaLibraries*
> Contains multiple libraries of broadcast area
> > **BroadcastAreaLibrary**
> > A collection of geographic areas, all of the same type, for example
> > counties or electoral wards
> > **BroadcastArea**
> > Contains one or more shapes that make up an area, for example
> > England
> > > **BroadcastArea.polygons[n]**
> > > A single shape, for example the Isle of Wight or Lindisfarne
> > > > **BroadcastArea.polygons[n][o]**
> > > > A single coordinate along a polygons
The classes support iteration, so all the areas in a library can be
looped over, for example if `countries` is an instance of
`BroadcastAreaLibrary` you can do:
```python
for country in countries:
print(country.name)
```
The `BroadcastAreaLibraries` class also provides some useful methods for
quickly getting the polygons for an area or areas, for example to
render them on a map. So if `libraries` is an instance of
`BroadcastAreaLibraries` you can do:
```python
libraries.get_polygons_for_areas_long_lat('england', 'wales')
```
This will give polygons for the Welsh mainland, the Isle of Wight,
Anglesey, etc.
The models load data from GeoJSON files, which is an open standard for
serialising geographic data. I’ve added a few example files taken from
http://geoportal.statistics.gov.uk to show how it works.
2020-07-06 10:53:40 +01:00
|
|
|
|
def test_has_polygons():
|
|
|
|
|
|
|
2020-08-25 16:55:09 +01:00
|
|
|
|
england = broadcast_area_libraries.get_areas('ctry19-E92000001')[0]
|
|
|
|
|
|
scotland = broadcast_area_libraries.get_areas('ctry19-S92000003')[0]
|
Add broadcast area model, loading from GeoJSON
This commit adds a new model class which can be used by any app to
interact with a broadcast area. A broadcast area is one or more polygons
representing geographical areas.
It also adds some models that make browsing collections of these areas
more straightforward. So the hierarchy looks like:
> **BroadcastAreaLibraries*
> Contains multiple libraries of broadcast area
> > **BroadcastAreaLibrary**
> > A collection of geographic areas, all of the same type, for example
> > counties or electoral wards
> > **BroadcastArea**
> > Contains one or more shapes that make up an area, for example
> > England
> > > **BroadcastArea.polygons[n]**
> > > A single shape, for example the Isle of Wight or Lindisfarne
> > > > **BroadcastArea.polygons[n][o]**
> > > > A single coordinate along a polygons
The classes support iteration, so all the areas in a library can be
looped over, for example if `countries` is an instance of
`BroadcastAreaLibrary` you can do:
```python
for country in countries:
print(country.name)
```
The `BroadcastAreaLibraries` class also provides some useful methods for
quickly getting the polygons for an area or areas, for example to
render them on a map. So if `libraries` is an instance of
`BroadcastAreaLibraries` you can do:
```python
libraries.get_polygons_for_areas_long_lat('england', 'wales')
```
This will give polygons for the Welsh mainland, the Isle of Wight,
Anglesey, etc.
The models load data from GeoJSON files, which is an open standard for
serialising geographic data. I’ve added a few example files taken from
http://geoportal.statistics.gov.uk to show how it works.
2020-07-06 10:53:40 +01:00
|
|
|
|
|
2020-08-25 16:55:09 +01:00
|
|
|
|
assert len(england.polygons) == 35
|
|
|
|
|
|
assert len(scotland.polygons) == 195
|
Add broadcast area model, loading from GeoJSON
This commit adds a new model class which can be used by any app to
interact with a broadcast area. A broadcast area is one or more polygons
representing geographical areas.
It also adds some models that make browsing collections of these areas
more straightforward. So the hierarchy looks like:
> **BroadcastAreaLibraries*
> Contains multiple libraries of broadcast area
> > **BroadcastAreaLibrary**
> > A collection of geographic areas, all of the same type, for example
> > counties or electoral wards
> > **BroadcastArea**
> > Contains one or more shapes that make up an area, for example
> > England
> > > **BroadcastArea.polygons[n]**
> > > A single shape, for example the Isle of Wight or Lindisfarne
> > > > **BroadcastArea.polygons[n][o]**
> > > > A single coordinate along a polygons
The classes support iteration, so all the areas in a library can be
looped over, for example if `countries` is an instance of
`BroadcastAreaLibrary` you can do:
```python
for country in countries:
print(country.name)
```
The `BroadcastAreaLibraries` class also provides some useful methods for
quickly getting the polygons for an area or areas, for example to
render them on a map. So if `libraries` is an instance of
`BroadcastAreaLibraries` you can do:
```python
libraries.get_polygons_for_areas_long_lat('england', 'wales')
```
This will give polygons for the Welsh mainland, the Isle of Wight,
Anglesey, etc.
The models load data from GeoJSON files, which is an open standard for
serialising geographic data. I’ve added a few example files taken from
http://geoportal.statistics.gov.uk to show how it works.
2020-07-06 10:53:40 +01:00
|
|
|
|
|
2020-08-25 16:55:09 +01:00
|
|
|
|
assert england.polygons.as_coordinate_pairs_lat_long[0][0] == [
|
Add broadcast area model, loading from GeoJSON
This commit adds a new model class which can be used by any app to
interact with a broadcast area. A broadcast area is one or more polygons
representing geographical areas.
It also adds some models that make browsing collections of these areas
more straightforward. So the hierarchy looks like:
> **BroadcastAreaLibraries*
> Contains multiple libraries of broadcast area
> > **BroadcastAreaLibrary**
> > A collection of geographic areas, all of the same type, for example
> > counties or electoral wards
> > **BroadcastArea**
> > Contains one or more shapes that make up an area, for example
> > England
> > > **BroadcastArea.polygons[n]**
> > > A single shape, for example the Isle of Wight or Lindisfarne
> > > > **BroadcastArea.polygons[n][o]**
> > > > A single coordinate along a polygons
The classes support iteration, so all the areas in a library can be
looped over, for example if `countries` is an instance of
`BroadcastAreaLibrary` you can do:
```python
for country in countries:
print(country.name)
```
The `BroadcastAreaLibraries` class also provides some useful methods for
quickly getting the polygons for an area or areas, for example to
render them on a map. So if `libraries` is an instance of
`BroadcastAreaLibraries` you can do:
```python
libraries.get_polygons_for_areas_long_lat('england', 'wales')
```
This will give polygons for the Welsh mainland, the Isle of Wight,
Anglesey, etc.
The models load data from GeoJSON files, which is an open standard for
serialising geographic data. I’ve added a few example files taken from
http://geoportal.statistics.gov.uk to show how it works.
2020-07-06 10:53:40 +01:00
|
|
|
|
55.811085, -2.034358 # https://goo.gl/maps/wsf2LUWzYinwydMk8
|
|
|
|
|
|
]
|
|
|
|
|
|
|
|
|
|
|
|
|
2020-08-25 16:55:09 +01:00
|
|
|
|
def test_polygons_are_enclosed():
|
2020-08-13 12:25:22 +01:00
|
|
|
|
england = broadcast_area_libraries.get('ctry19').get('ctry19-E92000001')
|
Add broadcast area model, loading from GeoJSON
This commit adds a new model class which can be used by any app to
interact with a broadcast area. A broadcast area is one or more polygons
representing geographical areas.
It also adds some models that make browsing collections of these areas
more straightforward. So the hierarchy looks like:
> **BroadcastAreaLibraries*
> Contains multiple libraries of broadcast area
> > **BroadcastAreaLibrary**
> > A collection of geographic areas, all of the same type, for example
> > counties or electoral wards
> > **BroadcastArea**
> > Contains one or more shapes that make up an area, for example
> > England
> > > **BroadcastArea.polygons[n]**
> > > A single shape, for example the Isle of Wight or Lindisfarne
> > > > **BroadcastArea.polygons[n][o]**
> > > > A single coordinate along a polygons
The classes support iteration, so all the areas in a library can be
looped over, for example if `countries` is an instance of
`BroadcastAreaLibrary` you can do:
```python
for country in countries:
print(country.name)
```
The `BroadcastAreaLibraries` class also provides some useful methods for
quickly getting the polygons for an area or areas, for example to
render them on a map. So if `libraries` is an instance of
`BroadcastAreaLibraries` you can do:
```python
libraries.get_polygons_for_areas_long_lat('england', 'wales')
```
This will give polygons for the Welsh mainland, the Isle of Wight,
Anglesey, etc.
The models load data from GeoJSON files, which is an open standard for
serialising geographic data. I’ve added a few example files taken from
http://geoportal.statistics.gov.uk to show how it works.
2020-07-06 10:53:40 +01:00
|
|
|
|
|
2020-08-25 16:55:09 +01:00
|
|
|
|
first_polygon = england.polygons.as_coordinate_pairs_lat_long[0]
|
Add broadcast area model, loading from GeoJSON
This commit adds a new model class which can be used by any app to
interact with a broadcast area. A broadcast area is one or more polygons
representing geographical areas.
It also adds some models that make browsing collections of these areas
more straightforward. So the hierarchy looks like:
> **BroadcastAreaLibraries*
> Contains multiple libraries of broadcast area
> > **BroadcastAreaLibrary**
> > A collection of geographic areas, all of the same type, for example
> > counties or electoral wards
> > **BroadcastArea**
> > Contains one or more shapes that make up an area, for example
> > England
> > > **BroadcastArea.polygons[n]**
> > > A single shape, for example the Isle of Wight or Lindisfarne
> > > > **BroadcastArea.polygons[n][o]**
> > > > A single coordinate along a polygons
The classes support iteration, so all the areas in a library can be
looped over, for example if `countries` is an instance of
`BroadcastAreaLibrary` you can do:
```python
for country in countries:
print(country.name)
```
The `BroadcastAreaLibraries` class also provides some useful methods for
quickly getting the polygons for an area or areas, for example to
render them on a map. So if `libraries` is an instance of
`BroadcastAreaLibraries` you can do:
```python
libraries.get_polygons_for_areas_long_lat('england', 'wales')
```
This will give polygons for the Welsh mainland, the Isle of Wight,
Anglesey, etc.
The models load data from GeoJSON files, which is an open standard for
serialising geographic data. I’ve added a few example files taken from
http://geoportal.statistics.gov.uk to show how it works.
2020-07-06 10:53:40 +01:00
|
|
|
|
assert first_polygon[0] != first_polygon[1] != first_polygon[2]
|
|
|
|
|
|
assert first_polygon[0] == first_polygon[-1]
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
def test_lat_long_order():
|
|
|
|
|
|
|
2020-08-25 16:55:09 +01:00
|
|
|
|
england = broadcast_area_libraries.get_areas('ctry19-E92000001')[0]
|
|
|
|
|
|
|
|
|
|
|
|
lat_long = england.polygons.as_coordinate_pairs_lat_long
|
|
|
|
|
|
long_lat = england.polygons.as_coordinate_pairs_long_lat
|
|
|
|
|
|
|
Add broadcast area model, loading from GeoJSON
This commit adds a new model class which can be used by any app to
interact with a broadcast area. A broadcast area is one or more polygons
representing geographical areas.
It also adds some models that make browsing collections of these areas
more straightforward. So the hierarchy looks like:
> **BroadcastAreaLibraries*
> Contains multiple libraries of broadcast area
> > **BroadcastAreaLibrary**
> > A collection of geographic areas, all of the same type, for example
> > counties or electoral wards
> > **BroadcastArea**
> > Contains one or more shapes that make up an area, for example
> > England
> > > **BroadcastArea.polygons[n]**
> > > A single shape, for example the Isle of Wight or Lindisfarne
> > > > **BroadcastArea.polygons[n][o]**
> > > > A single coordinate along a polygons
The classes support iteration, so all the areas in a library can be
looped over, for example if `countries` is an instance of
`BroadcastAreaLibrary` you can do:
```python
for country in countries:
print(country.name)
```
The `BroadcastAreaLibraries` class also provides some useful methods for
quickly getting the polygons for an area or areas, for example to
render them on a map. So if `libraries` is an instance of
`BroadcastAreaLibraries` you can do:
```python
libraries.get_polygons_for_areas_long_lat('england', 'wales')
```
This will give polygons for the Welsh mainland, the Isle of Wight,
Anglesey, etc.
The models load data from GeoJSON files, which is an open standard for
serialising geographic data. I’ve added a few example files taken from
http://geoportal.statistics.gov.uk to show how it works.
2020-07-06 10:53:40 +01:00
|
|
|
|
assert len(lat_long[0]) == len(long_lat[0]) == 2082 # Coordinates in polygon
|
|
|
|
|
|
assert len(lat_long[0][0]) == len(long_lat[0][0]) == 2 # Axes in coordinates
|
|
|
|
|
|
assert lat_long[0][0] == list(reversed(long_lat[0][0]))
|
2020-07-24 12:54:22 +01:00
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
def test_includes_electoral_wards():
|
|
|
|
|
|
|
2020-08-13 12:25:22 +01:00
|
|
|
|
areas = broadcast_area_libraries.get_areas(['wd20-E05009289'])
|
2020-07-24 12:54:22 +01:00
|
|
|
|
assert len(areas) == 1
|
2020-07-24 16:47:12 +01:00
|
|
|
|
|
|
|
|
|
|
|
2020-07-31 14:30:42 +01:00
|
|
|
|
def test_electoral_wards_are_groupable_cardiff():
|
2020-08-13 12:25:22 +01:00
|
|
|
|
areas = broadcast_area_libraries.get_areas(['lad20-W06000015'])
|
2020-07-31 14:30:42 +01:00
|
|
|
|
assert len(areas) == 1
|
|
|
|
|
|
cardiff = areas[0]
|
|
|
|
|
|
assert len(cardiff.sub_areas) == 29
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
def test_electoral_wards_are_groupable_ealing():
|
2020-08-13 12:25:22 +01:00
|
|
|
|
areas = broadcast_area_libraries.get_areas(['lad20-E09000009'])
|
2020-07-31 14:30:42 +01:00
|
|
|
|
assert len(areas) == 1
|
|
|
|
|
|
ealing = areas[0]
|
|
|
|
|
|
assert len(ealing.sub_areas) == 23
|
|
|
|
|
|
|
|
|
|
|
|
|
2020-07-24 16:47:12 +01:00
|
|
|
|
def test_repository_has_all_libraries():
|
|
|
|
|
|
repo = BroadcastAreasRepository()
|
|
|
|
|
|
libraries = repo.get_libraries()
|
|
|
|
|
|
|
2020-08-13 12:27:55 +01:00
|
|
|
|
assert len(libraries) == 2
|
2020-07-24 16:47:12 +01:00
|
|
|
|
assert [
|
2020-08-13 17:33:58 +01:00
|
|
|
|
('Countries', 'country'),
|
|
|
|
|
|
('Local authorities', 'local authority'),
|
|
|
|
|
|
] == [(name, name_singular) for _, name, name_singular, _is_group in libraries]
|
2020-09-16 11:20:22 +01:00
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
@pytest.mark.parametrize('library', (
|
|
|
|
|
|
broadcast_area_libraries
|
|
|
|
|
|
))
|
|
|
|
|
|
def test_every_area_has_count_of_phones(library):
|
|
|
|
|
|
for area in library:
|
|
|
|
|
|
assert area.count_of_phones > 0
|
|
|
|
|
|
|
|
|
|
|
|
|
2020-09-17 11:00:17 +01:00
|
|
|
|
@pytest.mark.parametrize('area_id, area_name, expected_count', (
|
|
|
|
|
|
|
|
|
|
|
|
# Unitary authority
|
|
|
|
|
|
('ctyua19-E10000014', 'Hampshire', 853_594.48),
|
|
|
|
|
|
|
|
|
|
|
|
# District
|
|
|
|
|
|
('lad20-E07000087', 'Fareham', 81_970.06),
|
|
|
|
|
|
|
|
|
|
|
|
# Ward
|
|
|
|
|
|
('wd20-E05004516', 'Fareham East', 5_684.9),
|
|
|
|
|
|
|
|
|
|
|
|
# Unitary authority
|
|
|
|
|
|
('lad20-E09000012', 'Hackney', 222_578.0),
|
|
|
|
|
|
|
|
|
|
|
|
# Ward
|
|
|
|
|
|
('wd20-E05009373', 'Hackney Downs', 11_321.169999999998),
|
|
|
|
|
|
|
|
|
|
|
|
# Special case: ward with hard-coded population
|
|
|
|
|
|
('wd20-E05011090', 'Bryher', 76.44),
|
|
|
|
|
|
|
|
|
|
|
|
# Areas with missing data
|
|
|
|
|
|
('lad20-E07000008', 'Cambridge', 0),
|
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('lad20-E07000084', 'Basingstoke and Deane', 0),
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('lad20-E07000118', 'Chorley', 0),
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('lad20-E07000178', 'Oxford', 0),
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))
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def test_count_of_phones_for_all_levels(area_id, area_name, expected_count):
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area = broadcast_area_libraries.get_areas(area_id)[0]
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assert area.name == area_name
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assert area.count_of_phones == expected_count
|
2020-09-16 11:20:22 +01:00
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2020-09-17 11:09:52 +01:00
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def test_city_of_london_counts_are_not_derived_from_population():
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2020-09-16 11:20:22 +01:00
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city_of_london = broadcast_area_libraries.get_areas('lad20-E09000001')[0]
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assert city_of_london.name == 'City of London'
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assert len(city_of_london.sub_areas) == len(CITY_OF_LONDON.WARDS) == 25
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for ward in city_of_london.sub_areas:
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# The population of the whole City of London is 9,401, so an
|
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|
# average of 300 per ward. What we’re asserting here is that the
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# count of phones is much larger, because it isn’t derived from
|
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|
# the resident population.
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assert ward.count_of_phones > 5_000
|
2020-09-16 14:14:41 +01:00
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|
@pytest.mark.parametrize('population, expected_estimate', (
|
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|
|
|
# Upper and lower bounds of each age range
|
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|
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|
(
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|
[(0, 100)], 50,
|
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),
|
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|
|
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|
(
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|
[(16, 100)], 100
|
|
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|
),
|
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|
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|
(
|
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|
[(24, 100)], 100,
|
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|
|
|
|
),
|
|
|
|
|
|
(
|
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|
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|
[(25, 100)], 97,
|
|
|
|
|
|
),
|
|
|
|
|
|
(
|
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|
|
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|
[(34, 100)], 97,
|
|
|
|
|
|
),
|
|
|
|
|
|
(
|
|
|
|
|
|
[(35, 100)], 91
|
|
|
|
|
|
),
|
|
|
|
|
|
(
|
|
|
|
|
|
[(44, 100)], 91,
|
|
|
|
|
|
),
|
|
|
|
|
|
(
|
|
|
|
|
|
[(45, 100)], 88
|
|
|
|
|
|
),
|
|
|
|
|
|
(
|
|
|
|
|
|
[(54, 100)], 88,
|
|
|
|
|
|
),
|
|
|
|
|
|
(
|
|
|
|
|
|
[(55, 100)], 73
|
|
|
|
|
|
),
|
|
|
|
|
|
(
|
|
|
|
|
|
[(64, 100)], 73,
|
|
|
|
|
|
),
|
|
|
|
|
|
(
|
|
|
|
|
|
[(65, 100)], 40
|
|
|
|
|
|
),
|
|
|
|
|
|
(
|
|
|
|
|
|
[(999, 100)], 40,
|
|
|
|
|
|
),
|
|
|
|
|
|
# Multiple different ages in a single popualtion
|
|
|
|
|
|
(
|
|
|
|
|
|
[(16, 100), (54, 100)], 188
|
|
|
|
|
|
),
|
|
|
|
|
|
(
|
|
|
|
|
|
[(1, 1000), (66, 100)], 540
|
|
|
|
|
|
),
|
|
|
|
|
|
))
|
|
|
|
|
|
def test_estimate_number_of_smartphones_for_population(
|
|
|
|
|
|
population, expected_estimate,
|
|
|
|
|
|
):
|
|
|
|
|
|
assert estimate_number_of_smartphones_for_population(
|
|
|
|
|
|
population
|
|
|
|
|
|
) == expected_estimate
|