Metadata attributes constant extraction
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@ -35,6 +35,3 @@ def _reset():
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GD = None
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from geocoder import run_street_point_geocoder, StreetPointBulkGeocoder
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PRECISION_PRECISE = 'precise'
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PRECISION_INTERPOLATED = 'interpolated'
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@ -6,6 +6,13 @@ from collections import namedtuple
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import json
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METADATA_RELEVANCE = 'relevance'
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METADATA_PRECISION = 'precision'
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METADATA_MATCH_TYPES = 'match_types'
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PRECISION_PRECISE = 'precise'
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PRECISION_INTERPOLATED = 'interpolated'
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def compose_address(street, city=None, state=None, country=None):
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return ', '.join(filter(None, [street, city, state, country]))
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@ -4,8 +4,7 @@
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from urlparse import parse_qs
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from exceptions import MalformedResult
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from cartodb_services import PRECISION_PRECISE, PRECISION_INTERPOLATED
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from cartodb_services.geocoder import compose_address
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from cartodb_services.geocoder import compose_address, METADATA_RELEVANCE, METADATA_PRECISION, METADATA_MATCH_TYPES, PRECISION_PRECISE, PRECISION_INTERPOLATED
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from cartodb_services.google.exceptions import InvalidGoogleCredentials
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from client_factory import GoogleMapsClientFactory
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@ -84,9 +83,9 @@ class GoogleMapsGeocoder():
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match_types = [MATCH_TYPE_BY_MATCH_LEVEL.get(match_level, None)
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for match_level in result['types']]
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return {
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'relevance': base_relevance * partial_factor,
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'precision': PRECISION_BY_LOCATION_TYPE[location_type],
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'match_types': filter(None, match_types)
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METADATA_RELEVANCE: base_relevance * partial_factor,
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METADATA_PRECISION: PRECISION_BY_LOCATION_TYPE[location_type],
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METADATA_MATCH_TYPES: filter(None, match_types)
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}
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@ -8,6 +8,7 @@ from collections import namedtuple
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from requests.adapters import HTTPAdapter
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from cartodb_services import StreetPointBulkGeocoder
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from cartodb_services.here import HereMapsGeocoder
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from cartodb_services.geocoder import METADATA_RELEVANCE, METADATA_PRECISION, METADATA_MATCH_TYPES
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from cartodb_services.metrics import Traceable
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from cartodb_services.tools.exceptions import ServiceException
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@ -138,9 +139,9 @@ class HereMapsBulkGeocoder(HereMapsGeocoder, StreetPointBulkGeocoder):
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results.append((row['recId'],
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[row['displayLongitude'], row['displayLatitude']],
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{
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'relevance': float(row['relevance']),
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'precision': precision,
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'match_types': [match_type] if match_type else []
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METADATA_RELEVANCE: float(row['relevance']),
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METADATA_PRECISION: precision,
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METADATA_MATCH_TYPES: [match_type] if match_type else []
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}))
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return results
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@ -6,7 +6,7 @@ import requests
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from requests.adapters import HTTPAdapter
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from exceptions import *
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from cartodb_services import PRECISION_PRECISE, PRECISION_INTERPOLATED
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from cartodb_services.geocoder import METADATA_RELEVANCE, METADATA_PRECISION, METADATA_MATCH_TYPES, PRECISION_PRECISE, PRECISION_INTERPOLATED
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from cartodb_services.metrics import Traceable
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class HereMapsGeocoder(Traceable):
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@ -147,7 +147,7 @@ class HereMapsGeocoder(Traceable):
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result.get('MatchType', 'pointAddress')]
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match_type = self.MATCH_TYPE_BY_MATCH_LEVEL.get(result['MatchLevel'], None)
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return {
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'relevance': result['Relevance'],
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'precision': precision,
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'match_types': [match_type] if match_type else []
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METADATA_RELEVANCE: result['Relevance'],
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METADATA_PRECISION: precision,
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METADATA_MATCH_TYPES: [match_type] if match_type else []
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}
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@ -5,7 +5,7 @@ Python client for the Mapbox Geocoder service.
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import json
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import requests
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from mapbox import Geocoder
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from cartodb_services import PRECISION_PRECISE, PRECISION_INTERPOLATED
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from cartodb_services.geocoder import METADATA_RELEVANCE, METADATA_PRECISION, METADATA_MATCH_TYPES, PRECISION_PRECISE, PRECISION_INTERPOLATED
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from cartodb_services.metrics import Traceable
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from cartodb_services.tools.exceptions import ServiceException
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from cartodb_services.tools.qps import qps_retry
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@ -93,9 +93,9 @@ class MapboxGeocoder(Traceable):
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match_types = [MATCH_TYPE_BY_MATCH_LEVEL.get(match_level, None)
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for match_level in result['place_type']]
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return {
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'relevance': self._normalize_relevance(float(result['relevance'])),
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'precision': precision,
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'match_types': filter(None, match_types)
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METADATA_RELEVANCE: self._normalize_relevance(float(result['relevance'])),
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METADATA_PRECISION: precision,
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METADATA_MATCH_TYPES: filter(None, match_types)
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}
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def _normalize_relevance(self, relevance):
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@ -5,7 +5,7 @@ import json
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import requests
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from uritemplate import URITemplate
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from math import tanh
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from cartodb_services import PRECISION_PRECISE, PRECISION_INTERPOLATED
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from cartodb_services.geocoder import METADATA_RELEVANCE, METADATA_PRECISION, METADATA_MATCH_TYPES, PRECISION_PRECISE, PRECISION_INTERPOLATED
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from cartodb_services.metrics import Traceable
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from cartodb_services.tools.exceptions import ServiceException
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from cartodb_services.tools.qps import qps_retry
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@ -145,9 +145,9 @@ class TomTomGeocoder(Traceable):
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score = self._normalize_score(result['score'])
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match_type = MATCH_TYPE_BY_MATCH_LEVEL.get(result['type'], None)
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return {
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'relevance': score,
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'precision': self._precision_from_score(score),
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'match_types': [match_type] if match_type else []
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METADATA_RELEVANCE: score,
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METADATA_PRECISION: self._precision_from_score(score),
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METADATA_MATCH_TYPES: [match_type] if match_type else []
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}
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def _normalize_score(self, score):
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@ -384,6 +384,7 @@ class TestBulkStreetFunctions(TestStreetFunctionsSetUp):
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self.metadata['Plaza España, Barcelona'],
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self.metadata['Santiago Rusiñol 123, Valladolid']
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]
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assert_equal(len(response['rows']), len(expected))
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for r, e in zip(response['rows'], expected):
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self.assert_metadata(r['metadata'], e)
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