def api_similar_places_helper(dcid, stats_var):
triples = dc.get_triples([stats_var])[stats_var]
population_type = None
measured_property = None
stat_type = None
measurement_method = None
pvs = {}
for t in triples:
if t[1] in ["provenance", "typeOf"]:
continue
if t[1] == "statType":
stat_type = t[2]
elif t[1] == "populationType":
population_type = t[2]
elif t[1] == "measurementMethod":
measurement_method = t[2]
elif t[1] == "measuredProperty":
measured_property = t[2]
else:
pvs[t[1]] = t[2]
return dc.get_related_place([dcid],
population_type,
measured_property,
stat_type,
pvs=pvs,
measurement_method=measurement_method,
same_place_type=True).get(dcid, {})
def get_related_place(dcid,
stat_vars_string,
within_place=None,
is_per_capita=None):
stat_vars = stat_vars_string.split('^')
return dc.get_related_place(dcid,
stat_vars,
within_place=within_place,
is_per_capita=is_per_capita)
def get_related_place(dcid,
population_type,
measured_property,
stat_type,
pvs_string='',
measurement_method=None,
same_place_type=None,
within_place=None,
is_per_capita=None):
pv_tokens = pvs_string.split('^')
pvs = {}
for i in range(len(pv_tokens) // 2):
pvs[pv_tokens[i * 2]] = pv_tokens[i * 2 + 1]
return dc.get_related_place([dcid],
population_type,
measured_property,
stat_type,
pvs=pvs,
measurement_method=measurement_method,
same_place_type=same_place_type,
within_place=within_place,
is_per_capita=is_per_capita).get(dcid, {})
def api_similar_places(stats_var, dcid):
"""
Get the similar places for a given place by stats var.
"""
return dc.get_related_place(dcid, [stats_var],
same_place_type=True).get(stats_var, {})