def requires(self):
return {
'level':
CALevelHierarchy(year=self.year,
current_geography=self.current_geography,
parent_geographies=self.parent_geographies),
'current_geom':
Geography(year=self.year, resolution=self.current_geography),
'parent_geoms': [
Geography(year=self.year, resolution=parent_geography)
for parent_geography in self.parent_geographies
]
}
def requires(self):
return {
'current_info':
CALevelInfo(year=self.year, geography=self.current_geography),
'current_geom':
Geography(year=self.year, resolution=self.current_geography),
'parents_infos': [
CALevelInfo(year=self.year, geography=parent_geography)
for parent_geography in self.parent_geographies
],
'parents_geoms': [
Geography(year=self.year, resolution=parent_geography)
for parent_geography in self.parent_geographies
]
}
def requires(self):
return {
'data': CopyDataToTable(resolution=self.resolution, survey=SURVEY_CEN, topic=self.topic),
'geo': Geography(resolution=self.resolution, year=2011),
'geometa': GeographyColumns(resolution=self.resolution, year=2011),
'meta': CensusColumns(resolution=self.resolution, survey=self.survey, topic=self.topic),
}
def requires(self):
requires = {
'geo': Geography(resolution=self.resolution, year=2011),
'geometa': GeographyColumns(resolution=self.resolution, year=2011),
'meta': NHSColumns(),
}
# DA interpolate data and there is no data for DA in NHS so we should
# avoid this step for DA resolution
if self.resolution == GEO_DA:
requires['geo_source'] = Geography(resolution=GEO_CD, year=2011)
requires['data_source'] = NHS(resolution=GEO_CD, survey=self.survey, topic=self.topic)
elif self.resolution == GEO_FSA:
requires['data_source'] = NHS(resolution=GEO_CSD, survey=self.survey, topic=self.topic)
requires['geo_interpolation'] = InterpolateFSAFromCSD()
else:
requires['data'] = CopyDataToTable(resolution=self.resolution, survey=SURVEY_NHS, topic=self.topic)
return requires
def requires(self):
deps = {
'source_geom_columns':
GeographyColumns(resolution=GEO_DA, year=2016),
'source_geom':
Geography(resolution=GEO_DA, year=2016),
'source_data_columns':
CensusColumns(resolution=GEO_DA, topic=self.topic),
'source_data':
CensusData(resolution=GEO_DA,
topic=self.topic,
segment=self.segment),
'target_geom_columns':
GeographyColumns(resolution=GEO_DB, year=2016),
'target_geom':
Geography(resolution=GEO_DB, year=2016),
'target_data_columns':
CensusColumns(resolution=GEO_DB, topic=self.topic),
}
return deps
def requires(self):
return {
'data':
CopyDataToTable(resolution=self.resolution,
survey=SURVEY_NHS,
topic=self.topic),
'geo':
Geography(resolution=self.resolution),
'geometa':
GeographyColumns(resolution=self.resolution),
'meta':
NHSColumns(),
}
def requires(self):
return {
'meta':
CensusColumns(resolution=self.resolution, topic=self.topic),
'data':
ImportData(resolution=self.resolution,
topic=self.topic,
segment=self.segment),
'geometa':
GeographyColumns(resolution=self.resolution, year=2016),
'geo':
Geography(resolution=self.resolution, year=2016),
}
def tables(self):
yield Geography(resolution=self.resolution, year=2011)
yield NHS(resolution=self.resolution, topic=self.topic, survey=SURVEY_NHS)
def requires(self):
return {
'geo_fsa': Geography(resolution=GEO_FSA, year=2011),
'geo_csd': Geography(resolution=GEO_CSD, year=2011),
}
def requires(self):
return {
'nhs': NHS(resolution=GEO_CD, topic=self.topic, survey=SURVEY_NHS),
'geo_cd': Geography(resolution='GEO_CD', year=2011),
'geo_da': Geography(resolution='GEO_DA', year=2011)
}
def requires(self):
return Geography(year=self.year, resolution=self.geography)