def requires(self):
requirements = {
'metadata': ZillowValueColumns(),
'geoids': GeoidColumns(year=TIGER_YEAR),
'sumlevel': SumLevel(year=TIGER_YEAR, geography='zcta5'),
'shorelineclip': ShorelineClip(year=TIGER_YEAR, geography='zcta5')
}
for hometype, _ in HOMETYPES.items():
measure = measure_name(hometype)
if measure:
table_id = '{hometype}_{measure}'.format(hometype=hometype,
measure=measure)
requirements[table_id] = WideZillow(geography=self.geography,
hometype=hometype,
measure=measure)
aggregations = measure_aggregation(hometype)
for aggregation in aggregations:
table_id = '{hometype}_{measure}'.format(
hometype=hometype, measure=aggregation)
requirements[table_id] = WideZillow(
geography=self.geography,
hometype=hometype,
measure=aggregation)
return requirements
def requires(self):
requirements = {
'data': SimpleQCEW(year=self.year, qtr=self.qtr),
'geoid_cols': GeoidColumns(),
'naics': OrderedDict()
}
for naics_code in NAICS_CODES.keys():
# Only include the more general NAICS codes
if is_supersector(naics_code) or is_sector(
naics_code) or naics_code == '10':
requirements['naics'][naics_code] = QCEWColumns(
naics_code=naics_code)
return requirements
def requires(self):
requirements = {
'metadata': ZillowValueColumns(),
'geoids': GeoidColumns()
}
for hometype, _, measure, _, _ in hometype_measures():
table_id = '{hometype}_{measure}'.format(hometype=hometype,
measure=measure)
requirements[table_id] = WideZillow(
geography=self.geography,
hometype=hometype,
measure=measure,
last_month=datetime.now().month,
last_year=datetime.now().year)
return requirements
def requires(self):
requirements = {
'data': SimpleQCEW(year=self.year, qtr=self.qtr),
'geoid_cols': GeoidColumns(year=TIGER_YEAR),
'naics': OrderedDict(),
'sumlevel': SumLevel(year=TIGER_YEAR, geography='county'),
'shorelineclip': ShorelineClip(year=TIGER_YEAR,
geography='county'),
}
for naics_code in NAICS_CODES.keys():
if not is_public_administration(naics_code):
# Only include the more general NAICS codes
if is_supersector(naics_code) or is_sector(
naics_code) or naics_code == '10':
requirements['naics'][naics_code] = QCEWColumns(
naics_code=naics_code)
return requirements
def requires(self):
return {
'columns':
QuantileColumns(year=self.year,
sample=self.sample,
geography=self.geography),
'table':
Extract(year=self.year,
sample=self.sample,
geography=self.geography),
'tiger':
GeoidColumns(year=self.tiger_year()),
'sumlevel':
SumLevel(geography=self.geography, year=self.tiger_year()),
'shorelineclip':
ShorelineClip(geography=self.geography, year=self.tiger_year())
}
def requires(self):
dependencies = {
'acs':
Columns(year=self.year,
sample=self.sample,
geography=self.geography),
'tiger':
GeoidColumns(year=self.tiger_year()),
'data':
DownloadACS(year=self.year, sample=self.sample),
'sumlevel':
SumLevel(geography=self.geography, year=self.tiger_year()),
'shorelineclip':
ShorelineClip(geography=self.geography, year=self.tiger_year())
}
if self.geography == BLOCK:
dependencies['interpolation'] = TigerBlocksInterpolation(
year=self.tiger_year())
dependencies['bg_extract'] = Extract(geography=BLOCK_GROUP,
sample=self.sample,
year=self.year)
return dependencies
def test_geoid_columns_run():
runtask(GeoidColumns())
def requires(self):
return {
'data_meta': WorkplaceAreaCharacteristicsColumns(),
'tiger_meta': GeoidColumns(),
'data': DownloadWorkplaceAreaCharacteristics(year=self.year),
}
def test_geoid_columns_run():
runtask(GeoidColumns(year='2015'))