brokenspoke_analyzer.core.utils module#

Define utility functions.

class brokenspoke_analyzer.core.utils.PolygonFormat(value, names=None, *values, module=None, qualname=None, type=None, start=1, boundary=None)#

Bases: Enum

Represent the available polygon formats from polygons.openstreetmap.fr.

GEOJSON = 'get_geojson.py'#
POLY = 'get_poly.py'#
WKT = 'get_wkt.py'#
brokenspoke_analyzer.core.utils.compare_bna_results(brokenspoke_scores, original_scores, output_csv)#

Compare the Brokenaspoke and the original BNA results.

Return type:

DataFrame

brokenspoke_analyzer.core.utils.file_checksum_ok(osm_file, osm_file_md5)#

Validate a file checksum.

Return type:

bool

brokenspoke_analyzer.core.utils.get_srid(shapefile)#

Get the SRID of a shapefile.

Return type:

int

brokenspoke_analyzer.core.utils.gunzip(gzip_file, target, delete_after=True)#

Gunzip a file into a specific target.

Return type:

None

brokenspoke_analyzer.core.utils.normalize_unicode_name(value)#

Normalize unicode names.

Return type:

str

Examples:
>>> normalize_unicode_name("Québec")
quebec
>>> normalize_unicode_name("Cañon City")
canon city
brokenspoke_analyzer.core.utils.prepare_census_blocks(tabblk_file, output_dir)#

Prepare the census block files to match our naming convention.

Return type:

None

brokenspoke_analyzer.core.utils.prepare_city_inputs(country, city, state, root=None)#

Prepare the directories and files that will be used to perform the analysis.

Return type:

tuple[Path, Path, Path]

Returns:

a tuple containing the input directory created for the city, the boundary file and the OSM file.

brokenspoke_analyzer.core.utils.prepare_environment(city, state, country, city_fips, state_fips, state_abbrev, run_import_jobs)#

Prepare the environment variables required by the modular BNA.

Return type:

Mapping[str, str]

Example:
>>> d = prepare_environment(
>>>     "washington", "district of columbia", "usa", "1150000", "11", "DC", "1"
>>> )
>>> assert d == {
>>>    "BNA_CITY_FIPS": "1150000",
>>>    "BNA_CITY": "washington",
>>>    "BNA_COUNTRY": "usa",
>>>    "BNA_FULL_STATE": "district of columbia",
>>>    "BNA_SHORT_STATE": "dc",
>>>    "BNA_STATE_FIPS": "11",
>>>    "CENSUS_YEAR": "2019",
>>>    "NB_COUNTRY": "usa",
>>>    "NB_INPUT_SRID": "4326",
>>>    "PFB_CITY_FIPS": "1150000",
>>>    "PFB_STATE_FIPS": "11",
>>>    "PFB_STATE": "dc",
>>>    "RUN_IMPORT_JOBS": "1",
>>> }
brokenspoke_analyzer.core.utils.unzip(zip_file, output_dir, delete_after=True)#

Unzip an archive into a specific directory.

Return type:

None