def _stream_exposure_by_sr_id_as_csv(sr_id, occupancy, currency, taxonomy_name, taxonomy_version): copyright = copyright_csv(COPYRIGHT_HEADER) yield copyright yield _csv_currency_and_taxonomy_header(currency, taxonomy_name, taxonomy_version) for row in util._stream_exposure_by_sr_id(sr_id, occupancy): row_str = raw_to_csv_row(row) yield row_str
def _stream_exposure_as_nrml(req_pars): yield XML_HEADER copyright = copyright_nrml(COPYRIGHT_HEADER) currency = req_pars['currency'] yield copyright if currency is not None: conversions = NRML_CONVERSIONS_FMT % currency else: conversions = "" yield NRML_HEADER % dict(cat='buildings', conversions=conversions, taxonomy_name=req_pars['taxonomy_name'], taxonomy_version=req_pars['taxonomy_version']) if req_pars['filter_by_bounding_box']: exposure_data = util._stream_exposure_by_bb_and_sr_id( req_pars['lng1'], req_pars['lat1'], req_pars['lng2'], req_pars['lat2'], req_pars['sr_id'], req_pars['occupancy']) else: # no bounding box provided exposure_data = util._stream_exposure_by_sr_id( req_pars['sr_id'], req_pars['occupancy']) # discard column_names column_names = exposure_data.next() for (grid_id, lon, lat, bldg_type, occ_type, is_urban, dwelling_fraction, bldg_fraction, type_pop, day_pop, night_pop, transit_pop, bldg_count, bldg_count_quality, bldg_area, bldg_area_quality, bldg_cost, bldg_cost_quality) in exposure_data: occ = '' for tod, occupants in (('all', type_pop), ('day', day_pop), ('night', night_pop), ('transit', transit_pop)): occ += NRML_OCCUPANCY_FMT % (occupants, tod) if bldg_cost is not None: costs = NRML_COSTS_FMT % bldg_cost else: costs = "" asset_params = dict( gml_id='%s_%s' % (grid_id, bldg_type), lon=lon, lat=lat, bldg_count=bldg_count, tax=bldg_type, costs=costs, occ=occ, ) asset = NRML_ASSET_FMT % asset_params yield '%s' % asset # finalize the document: yield NRML_FOOTER
def _stream_exposure_as_nrml(req_pars): yield XML_HEADER copyright = copyright_nrml(COPYRIGHT_HEADER) currency = req_pars['currency'] yield copyright if currency is not None: conversions = NRML_CONVERSIONS_FMT % currency else: conversions = "" yield NRML_HEADER % dict(cat='buildings', conversions=conversions, taxonomy_name=req_pars['taxonomy_name'], taxonomy_version=req_pars['taxonomy_version']) if req_pars['filter_by_bounding_box']: exposure_data = util._stream_exposure_by_bb_and_sr_id( req_pars['lng1'], req_pars['lat1'], req_pars['lng2'], req_pars['lat2'], req_pars['sr_id'], req_pars['occupancy']) else: # no bounding box provided exposure_data = util._stream_exposure_by_sr_id(req_pars['sr_id'], req_pars['occupancy']) # discard column_names column_names = exposure_data.next() for (grid_id, lon, lat, bldg_type, occ_type, is_urban, dwelling_fraction, bldg_fraction, type_pop, day_pop, night_pop, transit_pop, bldg_count, bldg_count_quality, bldg_area, bldg_area_quality, bldg_cost, bldg_cost_quality) in exposure_data: occ = '' for tod, occupants in (('all', type_pop), ('day', day_pop), ('night', night_pop), ('transit', transit_pop)): occ += NRML_OCCUPANCY_FMT % (occupants, tod) if bldg_cost is not None: costs = NRML_COSTS_FMT % bldg_cost else: costs = "" asset_params = dict( gml_id='%s_%s' % (grid_id, bldg_type), lon=lon, lat=lat, bldg_count=bldg_count, tax=bldg_type, costs=costs, occ=occ, ) asset = NRML_ASSET_FMT % asset_params yield '%s' % asset # finalize the document: yield NRML_FOOTER
def _stream_exposure_as_nrml(req_pars): yield XML_HEADER copyright = copyright_nrml(COPYRIGHT_HEADER) currency = req_pars["currency"] yield copyright if currency is not None: conversions = NRML_CONVERSIONS_FMT % currency else: conversions = "" yield NRML_HEADER % dict( cat="buildings", conversions=conversions, taxonomy_name=req_pars["taxonomy_name"], taxonomy_version=req_pars["taxonomy_version"], ) if req_pars["filter_by_bounding_box"]: exposure_data = util._stream_exposure_by_bb_and_sr_id( req_pars["lng1"], req_pars["lat1"], req_pars["lng2"], req_pars["lat2"], req_pars["sr_id"], req_pars["occupancy"], ) else: # no bounding box provided exposure_data = util._stream_exposure_by_sr_id(req_pars["sr_id"], req_pars["occupancy"]) # discard column_names column_names = exposure_data.next() for ( grid_id, lon, lat, bldg_type, occ_type, is_urban, dwelling_fraction, bldg_fraction, type_pop, day_pop, night_pop, transit_pop, bldg_count, bldg_count_quality, bldg_area, bldg_area_quality, bldg_cost, bldg_cost_quality, ) in exposure_data: occ = "" for tod, occupants in (("all", type_pop), ("day", day_pop), ("night", night_pop), ("transit", transit_pop)): occ += NRML_OCCUPANCY_FMT % (occupants, tod) if bldg_cost is not None: costs = NRML_COSTS_FMT % bldg_cost else: costs = "" asset_params = dict( gml_id="%s_%s" % (grid_id, bldg_type), lon=lon, lat=lat, bldg_count=bldg_count, tax=bldg_type, costs=costs, occ=occ, ) asset = NRML_ASSET_FMT % asset_params yield "%s" % asset # finalize the document: yield NRML_FOOTER