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_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
