def _download_results(self, job_id):
result_r = self.session.get("{}/{}/all".format(self.BATCH_URL, job_id),
params=self.credentials_params,
timeout=(self.connect_timeout, self.read_timeout))
root_zip = zipfile.ZipFile(io.BytesIO(result_r.content))
results = []
for name in root_zip.namelist():
if name.endswith('_out.txt'):
reader = csv.DictReader(root_zip.open(name), delimiter='|')
for row in reader:
if row['SeqNumber'] == '1': # First per requested data
precision = self.PRECISION_BY_MATCH_TYPE.get(
row.get('matchType'), PRECISION_INTERPOLATED)
match_type = self.MATCH_TYPE_BY_MATCH_LEVEL.get(row['matchLevel'], None)
results.append((row['recId'],
[row['displayLongitude'], row['displayLatitude']],
geocoder_metadata(
float(row['relevance']),
precision,
[match_type] if match_type else []
)))
elif row['matchLevel'] == 'NOMATCH':
results.append((row['recId'], [], {}))
elif row['matchLevel'] == 'FAILED':
results.append((row['recId'], [], {'error': 'Bulk geocoder failed'}))
return results
def _extract_metadata_from_result(self, result):
# See https://stackoverflow.com/questions/51285622/missing-matchtype-at-here-geocoding-responses
precision = self.PRECISION_BY_MATCH_TYPE.get(result.get('MatchType'),
PRECISION_INTERPOLATED)
match_type = self.MATCH_TYPE_BY_MATCH_LEVEL.get(
result['MatchLevel'], None)
return geocoder_metadata(result['Relevance'], precision,
[match_type] if match_type else [])
def _extract_metadata_from_result(self, result):
score = self._normalize_score(result['score'])
match_type = MATCH_TYPE_BY_MATCH_LEVEL.get(result['type'], None)
return geocoder_metadata(
score,
self._precision_from_score(score),
[match_type] if match_type else []
)
def _extract_metadata_from_result(self, result):
location_type = result['geometry']['location_type']
base_relevance = RELEVANCE_BY_LOCATION_TYPE[location_type]
partial_match = result.get('partial_match', False)
partial_factor = PARTIAL_FACTOR if partial_match else 1
match_types = [
MATCH_TYPE_BY_MATCH_LEVEL.get(match_level, None)
for match_level in result['types']
]
return geocoder_metadata(base_relevance * partial_factor,
PRECISION_BY_LOCATION_TYPE[location_type],
filter(None, match_types))
def _extract_metadata_from_result(self, result):
if result[ENTRY_GEOMETRY].get('interpolated', False):
precision = PRECISION_INTERPOLATED
else:
precision = PRECISION_PRECISE
match_types = [MATCH_TYPE_BY_MATCH_LEVEL.get(match_level, None)
for match_level in result['place_type']]
return geocoder_metadata(
self._normalize_relevance(float(result['relevance'])),
precision,
filter(None, match_types)
)
