def tables(request):
try:
table_data = minority_aggregation_as_json(request)
context = {'table_data': table_data}
return HttpResponse(json.dumps(context),
content_type='application/json')
except:
return HttpResponseBadRequest("the following request failed: %s" %
request)
def test_minority_aggregation_as_json(self):
"""should return a dict of 5 dicts returning minority values"""
keys = ['counties', 'msa']
lender_keys = ['hma_pct', 'lma_pct', 'mma_pct', 'lma', 'mma', 'hma', 'lar_total', 'peer_hma_pct', 'peer_lma_pct', 'peer_mma_pct', 'peer_lma', 'peer_mma', 'peer_hma', 'peer_lar_total', 'odds_lma', 'odds_mma', 'odds_hma']
result_dict = minority_aggregation_as_json(request)
self.assertTrue(isinstance(result_dict, dict))
for key in keys:
self.assertTrue(key in result_dict.keys())
for key in lender_keys:
self.assertTrue(key in result_dict['msa'].keys())
self.assertTrue(len(result_dict['msa']) > 0)
self.assertEqual(result_dict['msa']['lar_total'], 0)
self.assertIsNone(result_dict['msa']['odds_lma'])
def tables_csv(request):
institution_id = request.GET.get('lender')
metro = request.GET.get('metro')
year = request.GET.get('year')
file_name = 'HMDA-Summary-Table_Year%s_Lender%s_MSA%s.csv' % (year, institution_id, metro)
response = HttpResponse(content_type='text/csv')
response['Content-Disposition'] = 'attachment; filename=%s' % file_name
aggregation = minority_aggregation_as_json(request)
msa = aggregation['msa']
counties = aggregation['counties']
input_keys = ['msa_or_county_id', 'peer_lar_total', 'name']
lender_keys = ['hma_pct', 'lma_pct', 'mma_pct', 'lma', 'mma', 'hma', 'lar_total',
'peer_hma_pct', 'peer_lma_pct', 'peer_mma_pct', 'peer_lma', 'peer_mma',
'peer_hma', 'peer_lar_total', 'odds_lma', 'odds_mma', 'odds_hma']
keys = input_keys + lender_keys
header_dict = {"msa_or_county_id":"MSA or County ID",
"peer_lar_total":"Total LAR of Peers","name":"County Name",
"hma_pct":"Pct in HMA","lma_pct":"Pct in LMA","mma_pct":"Pct in MMA",
"lma":"LAR Count in LMA","mma":"LAR Count in MMA","hma":"LAR Count in HMA",
"lar_total":"Total LAR in MSA","peer_hma_pct":"Odds Ratio in HMA",
"peer_mma_pct":"Odds Ratio in MMA","peer_lma_pct":"Odds Ratio in LMA",
"peer_lma":"Total Peer LAR in LMA" ,"peer_mma":"Total Peer LAR in MMA",
"peer_hma":"Total Peer LAR in HMA",
"odds_lma":"Odds LMA", "odds_mma":"Odds MMA", "odds_hma":"Odds HMA"}
msa['msa_or_county_id'] = institution_id
# MSA has no county name so insert the word "MSA"
msa['name'] = 'MSA'
writer = csv.writer(response, csv.excel)
writer.writerow([header_dict[k] for k in keys])
writer.writerow([msa[k] for k in keys])
for id,county in counties.iteritems():
county = counties[id]
county['msa_or_county_id'] = id
writer.writerow([county[k] for k in keys])
return response
def tables(request):
table_data = minority_aggregation_as_json(request)
return HttpResponse(json.dumps(table_data), content_type='application/json')
def tables(request):
table_data = minority_aggregation_as_json(request)
return HttpResponse(json.dumps(table_data), content_type='application/json')