208 lines
12 KiB
PL/PgSQL
208 lines
12 KiB
PL/PgSQL
-- Geocodes a street address given a searchtext and a state and/or country
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CREATE OR REPLACE FUNCTION cdb_dataservices_server.cdb_geocode_street_point(username TEXT, orgname TEXT, searchtext TEXT, city TEXT DEFAULT NULL, state_province TEXT DEFAULT NULL, country TEXT DEFAULT NULL)
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RETURNS Geometry AS $$
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plpy.execute("SELECT cdb_dataservices_server._connect_to_redis('{0}')".format(username))
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redis_conn = GD["redis_connection_{0}".format(username)]['redis_metrics_connection']
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plpy.execute("SELECT cdb_dataservices_server._get_geocoder_config({0}, {1})".format(plpy.quote_nullable(username), plpy.quote_nullable(orgname)))
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user_geocoder_config = GD["user_geocoder_config_{0}".format(username)]
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if user_geocoder_config.heremaps_geocoder:
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here_plan = plpy.prepare("SELECT cdb_dataservices_server._cdb_here_geocode_street_point($1, $2, $3, $4, $5, $6) as point; ", ["text", "text", "text", "text", "text", "text"])
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return plpy.execute(here_plan, [username, orgname, searchtext, city, state_province, country], 1)[0]['point']
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elif user_geocoder_config.google_geocoder:
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google_plan = plpy.prepare("SELECT cdb_dataservices_server._cdb_google_geocode_street_point($1, $2, $3, $4, $5, $6) as point; ", ["text", "text", "text", "text", "text", "text"])
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return plpy.execute(google_plan, [username, orgname, searchtext, city, state_province, country], 1)[0]['point']
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elif user_geocoder_config.mapzen_geocoder:
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mapzen_plan = plpy.prepare("SELECT cdb_dataservices_server._cdb_mapzen_geocode_street_point($1, $2, $3, $4, $5, $6) as point; ", ["text", "text", "text", "text", "text", "text"])
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return plpy.execute(mapzen_plan, [username, orgname, searchtext, city, state_province, country], 1)[0]['point']
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else:
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raise Exception('Requested geocoder is not available')
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$$ LANGUAGE plpythonu;
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CREATE OR REPLACE FUNCTION cdb_dataservices_server.cdb_here_geocode_street_point(username TEXT, orgname TEXT, searchtext TEXT, city TEXT DEFAULT NULL, state_province TEXT DEFAULT NULL, country TEXT DEFAULT NULL)
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RETURNS Geometry AS $$
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plpy.execute("SELECT cdb_dataservices_server._connect_to_redis('{0}')".format(username))
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redis_conn = GD["redis_connection_{0}".format(username)]['redis_metrics_connection']
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plpy.execute("SELECT cdb_dataservices_server._get_geocoder_config({0}, {1})".format(plpy.quote_nullable(username), plpy.quote_nullable(orgname)))
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user_geocoder_config = GD["user_geocoder_config_{0}".format(username)]
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if user_geocoder_config.heremaps_geocoder:
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here_plan = plpy.prepare("SELECT cdb_dataservices_server._cdb_here_geocode_street_point($1, $2, $3, $4, $5, $6) as point; ", ["text", "text", "text", "text", "text", "text"])
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return plpy.execute(here_plan, [username, orgname, searchtext, city, state_province, country], 1)[0]['point']
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else:
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raise Exception('Here geocoder is not available for your account.')
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$$ LANGUAGE plpythonu;
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CREATE OR REPLACE FUNCTION cdb_dataservices_server.cdb_google_geocode_street_point(username TEXT, orgname TEXT, searchtext TEXT, city TEXT DEFAULT NULL, state_province TEXT DEFAULT NULL, country TEXT DEFAULT NULL)
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RETURNS Geometry AS $$
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plpy.execute("SELECT cdb_dataservices_server._connect_to_redis('{0}')".format(username))
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redis_conn = GD["redis_connection_{0}".format(username)]['redis_metrics_connection']
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plpy.execute("SELECT cdb_dataservices_server._get_geocoder_config({0}, {1})".format(plpy.quote_nullable(username), plpy.quote_nullable(orgname)))
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user_geocoder_config = GD["user_geocoder_config_{0}".format(username)]
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if user_geocoder_config.google_geocoder:
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google_plan = plpy.prepare("SELECT cdb_dataservices_server._cdb_google_geocode_street_point($1, $2, $3, $4, $5, $6) as point; ", ["text", "text", "text", "text", "text", "text"])
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return plpy.execute(google_plan, [username, orgname, searchtext, city, state_province, country], 1)[0]['point']
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else:
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raise Exception('Google geocoder is not available for your account.')
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$$ LANGUAGE plpythonu;
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CREATE OR REPLACE FUNCTION cdb_dataservices_server.cdb_mapzen_geocode_street_point(username TEXT, orgname TEXT, searchtext TEXT, city TEXT DEFAULT NULL, state_province TEXT DEFAULT NULL, country TEXT DEFAULT NULL)
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RETURNS Geometry AS $$
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# The configuration is retrieved but no checks are performed on it
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plpy.execute("SELECT cdb_dataservices_server._connect_to_redis('{0}')".format(username))
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redis_conn = GD["redis_connection_{0}".format(username)]['redis_metrics_connection']
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plpy.execute("SELECT cdb_dataservices_server._get_geocoder_config({0}, {1})".format(plpy.quote_nullable(username), plpy.quote_nullable(orgname)))
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user_geocoder_config = GD["user_geocoder_config_{0}".format(username)]
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mapzen_plan = plpy.prepare("SELECT cdb_dataservices_server._cdb_mapzen_geocode_street_point($1, $2, $3, $4, $5, $6) as point; ", ["text", "text", "text", "text", "text", "text"])
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return plpy.execute(mapzen_plan, [username, orgname, searchtext, city, state_province, country], 1)[0]['point']
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$$ LANGUAGE plpythonu;
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CREATE OR REPLACE FUNCTION cdb_dataservices_server._cdb_here_geocode_street_point(username TEXT, orgname TEXT, searchtext TEXT, city TEXT DEFAULT NULL, state_province TEXT DEFAULT NULL, country TEXT DEFAULT NULL)
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RETURNS Geometry AS $$
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from cartodb_services.here import HereMapsGeocoder
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from cartodb_services.metrics import QuotaService
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from cartodb_services.tools import Logger,LoggerConfig
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redis_conn = GD["redis_connection_{0}".format(username)]['redis_metrics_connection']
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user_geocoder_config = GD["user_geocoder_config_{0}".format(username)]
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plpy.execute("SELECT cdb_dataservices_server._get_logger_config()")
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logger_config = GD["logger_config"]
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logger = Logger(logger_config)
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# -- Check the quota
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quota_service = QuotaService(user_geocoder_config, redis_conn)
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if not quota_service.check_user_quota():
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raise Exception('You have reached the limit of your quota')
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try:
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geocoder = HereMapsGeocoder(user_geocoder_config.heremaps_app_id, user_geocoder_config.heremaps_app_code, logger)
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coordinates = geocoder.geocode(searchtext=searchtext, city=city, state=state_province, country=country)
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if coordinates:
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quota_service.increment_success_service_use()
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plan = plpy.prepare("SELECT ST_SetSRID(ST_MakePoint($1, $2), 4326); ", ["double precision", "double precision"])
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point = plpy.execute(plan, [coordinates[0], coordinates[1]], 1)[0]
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return point['st_setsrid']
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else:
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quota_service.increment_empty_service_use()
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return None
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except BaseException as e:
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import sys
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quota_service.increment_failed_service_use()
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logger.error('Error trying to geocode street point using here maps', sys.exc_info(), data={"username": username, "orgname": orgname})
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raise Exception('Error trying to geocode street point using here maps')
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finally:
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quota_service.increment_total_service_use()
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$$ LANGUAGE plpythonu;
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CREATE OR REPLACE FUNCTION cdb_dataservices_server._cdb_google_geocode_street_point(username TEXT, orgname TEXT, searchtext TEXT, city TEXT DEFAULT NULL, state_province TEXT DEFAULT NULL, country TEXT DEFAULT NULL)
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RETURNS Geometry AS $$
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from cartodb_services.google import GoogleMapsGeocoder
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from cartodb_services.metrics import QuotaService
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from cartodb_services.tools import Logger,LoggerConfig
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redis_conn = GD["redis_connection_{0}".format(username)]['redis_metrics_connection']
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user_geocoder_config = GD["user_geocoder_config_{0}".format(username)]
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plpy.execute("SELECT cdb_dataservices_server._get_logger_config()")
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logger_config = GD["logger_config"]
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logger = Logger(logger_config)
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quota_service = QuotaService(user_geocoder_config, redis_conn)
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try:
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geocoder = GoogleMapsGeocoder(user_geocoder_config.google_client_id, user_geocoder_config.google_api_key, logger)
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coordinates = geocoder.geocode(searchtext=searchtext, city=city, state=state_province, country=country)
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if coordinates:
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quota_service.increment_success_service_use()
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plan = plpy.prepare("SELECT ST_SetSRID(ST_MakePoint($1, $2), 4326); ", ["double precision", "double precision"])
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point = plpy.execute(plan, [coordinates[0], coordinates[1]], 1)[0]
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return point['st_setsrid']
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else:
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quota_service.increment_empty_service_use()
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return None
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except BaseException as e:
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import sys
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quota_service.increment_failed_service_use()
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logger.error('Error trying to geocode street point using google maps', sys.exc_info(), data={"username": username, "orgname": orgname})
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raise Exception('Error trying to geocode street point using google maps')
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finally:
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quota_service.increment_total_service_use()
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$$ LANGUAGE plpythonu;
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CREATE OR REPLACE FUNCTION cdb_dataservices_server._cdb_mapzen_geocode_street_point(username TEXT, orgname TEXT, searchtext TEXT, city TEXT DEFAULT NULL, state_province TEXT DEFAULT NULL, country TEXT DEFAULT NULL)
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RETURNS Geometry AS $$
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import cartodb_services
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cartodb_services.init(plpy, GD)
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from cartodb_services.mapzen import MapzenGeocoder
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from cartodb_services.mapzen.types import country_to_iso3
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from cartodb_services.metrics import QuotaService
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from cartodb_services.tools import Logger
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from cartodb_services.refactor.storage.server_config import InDbServerConfigStorage, UserConfigStorageFactory, OrgConfigStorageFactory
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from cartodb_services.refactor.tools.logger import LoggerConfigBuilder
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from cartodb_services.refactor.tools.redis_mock import RedisConnectionMock
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from cartodb_services.refactor.storage.redis_config import RedisMetadataConnectionConfigBuilder, RedisMetricsConnectionConfigBuilder
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from cartodb_services.refactor.storage.redis_connection import RedisConnectionBuilder
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from cartodb_services.refactor.service.mapzen_geocoder import MapzenGeocoderConfigBuilder
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from cartodb_services.refactor.core.environment import Environment
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server_config_storage = InDbServerConfigStorage()
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logger_config = LoggerConfigBuilder(server_config_storage).get()
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logger = Logger(logger_config)
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# TODO encapsulate construction of user_config_storage and org_config_storage
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environment = Environment(server_config_storage).get()
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if environment == 'onpremise':
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user_config_storage = org_config_storage = server_config_storage
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else:
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redis_metadata_connection_config = RedisMetadataConnectionConfigBuilder(server_config_storage).get()
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redis_metadata_connection = RedisConnectionBuilder(redis_metadata_connection_config).get()
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user_config_storage = UserConfigStorageFactory(redis_metadata_connection, username).get()
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org_config_storage = OrgConfigStorageFactory(redis_metadata_connection, orgname).get()
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# TODO rename this variable
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user_geocoder_config = MapzenGeocoderConfigBuilder(server_config_storage, user_config_storage, org_config_storage, username, orgname).get()
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# TODO encapsulate the connection creation
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# TODO implement the RedisConnectionMock
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if environment == 'onpremise':
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redis_metrics_connection = RedisConnectionMock()
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else:
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redis_metrics_connection_config = RedisMetricsConnectionConfigBuilder(server_config_storage).get()
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redis_metrics_connection = RedisConnectionBuilder(redis_metrics_connection_config).get()
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quota_service = QuotaService(user_geocoder_config, redis_metrics_connection)
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if not quota_service.check_user_quota():
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raise Exception('You have reached the limit of your quota')
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try:
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geocoder = MapzenGeocoder(user_geocoder_config.mapzen_api_key, logger)
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country_iso3 = None
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if country:
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country_iso3 = country_to_iso3(country)
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coordinates = geocoder.geocode(searchtext=searchtext, city=city,
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state_province=state_province,
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country=country_iso3, search_type='address')
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if coordinates:
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quota_service.increment_success_service_use()
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plan = plpy.prepare("SELECT ST_SetSRID(ST_MakePoint($1, $2), 4326); ", ["double precision", "double precision"])
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point = plpy.execute(plan, [coordinates[0], coordinates[1]], 1)[0]
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return point['st_setsrid']
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else:
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quota_service.increment_empty_service_use()
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return None
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except BaseException as e:
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import sys
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quota_service.increment_failed_service_use()
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logger.error('Error trying to geocode street point using mapzen', sys.exc_info(), data={"username": username, "orgname": orgname})
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raise Exception('Error trying to geocode street point using mapzen')
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finally:
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quota_service.increment_total_service_use()
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$$ LANGUAGE plpythonu;
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