Send optimal batch size
This commit is contained in:
@@ -1861,7 +1861,8 @@ BEGIN
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monthly_quota NUMERIC,
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used_quota NUMERIC,
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soft_limit BOOLEAN,
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provider TEXT
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provider TEXT,
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max_batch_size NUMERIC
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);
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END IF;
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END $$;
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@@ -1872,6 +1873,7 @@ CREATE OR REPLACE FUNCTION cdb_dataservices_server.cdb_service_quota_info(
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RETURNS SETOF cdb_dataservices_server.service_quota_info AS $$
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from cartodb_services.metrics.user import UserMetricsService
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from datetime import date
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from cartodb_services.bulk_geocoders import BATCH_GEOCODER_CLASS_BY_PROVIDER
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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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@@ -1889,7 +1891,7 @@ RETURNS SETOF cdb_dataservices_server.service_quota_info AS $$
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used_quota = user_service.used_quota(user_isolines_config.service_type, today)
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soft_limit = user_isolines_config.soft_isolines_limit
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provider = user_isolines_config.provider
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ret += [[service, monthly_quota, used_quota, soft_limit, provider]]
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ret += [[service, monthly_quota, used_quota, soft_limit, provider, 1]]
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#-- Hires Geocoder
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service = 'hires_geocoder'
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@@ -1901,7 +1903,12 @@ RETURNS SETOF cdb_dataservices_server.service_quota_info AS $$
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used_quota = user_service.used_quota(user_geocoder_config.service_type, today)
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soft_limit = user_geocoder_config.soft_geocoding_limit
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provider = user_geocoder_config.provider
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ret += [[service, monthly_quota, used_quota, soft_limit, provider]]
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batch_geocoder_class = BATCH_GEOCODER_CLASS_BY_PROVIDER.get(provider, None)
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if batch_geocoder_class and hasattr(batch_geocoder_class, 'MAX_BATCH_SIZE'):
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max_batch_size = batch_geocoder_class.MAX_BATCH_SIZE
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else:
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max_batch_size = 1
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ret += [[service, monthly_quota, used_quota, soft_limit, provider, max_batch_size]]
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#-- Routing
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service = 'routing'
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@@ -1913,7 +1920,7 @@ RETURNS SETOF cdb_dataservices_server.service_quota_info AS $$
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used_quota = user_service.used_quota(user_routing_config.service_type, today)
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soft_limit = user_routing_config.soft_limit
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provider = user_routing_config.provider
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ret += [[service, monthly_quota, used_quota, soft_limit, provider]]
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ret += [[service, monthly_quota, used_quota, soft_limit, provider, 1]]
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#-- Observatory
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service = 'observatory'
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@@ -1925,7 +1932,7 @@ RETURNS SETOF cdb_dataservices_server.service_quota_info AS $$
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used_quota = user_service.used_quota(user_obs_config.service_type, today)
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soft_limit = user_obs_config.soft_limit
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provider = user_obs_config.provider
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ret += [[service, monthly_quota, used_quota, soft_limit, provider]]
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ret += [[service, monthly_quota, used_quota, soft_limit, provider, 1]]
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return ret
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$$ LANGUAGE plpythonu STABLE PARALLEL RESTRICTED;
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@@ -22,7 +22,8 @@ BEGIN
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monthly_quota NUMERIC,
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used_quota NUMERIC,
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soft_limit BOOLEAN,
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provider TEXT
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provider TEXT,
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max_batch_size NUMERIC
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);
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END IF;
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END $$;
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@@ -33,6 +34,7 @@ CREATE OR REPLACE FUNCTION cdb_dataservices_server.cdb_service_quota_info(
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RETURNS SETOF cdb_dataservices_server.service_quota_info AS $$
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from cartodb_services.metrics.user import UserMetricsService
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from datetime import date
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from cartodb_services.bulk_geocoders import BATCH_GEOCODER_CLASS_BY_PROVIDER
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plpy.execute("SELECT cdb_dataservices_server._connect_to_redis('{0}')".format(username))
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redis_conn = GD["redis_connection_{0}".format(username)]['redis_metrics_connection']
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@@ -50,7 +52,7 @@ RETURNS SETOF cdb_dataservices_server.service_quota_info AS $$
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used_quota = user_service.used_quota(user_isolines_config.service_type, today)
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soft_limit = user_isolines_config.soft_isolines_limit
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provider = user_isolines_config.provider
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ret += [[service, monthly_quota, used_quota, soft_limit, provider]]
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ret += [[service, monthly_quota, used_quota, soft_limit, provider, 1]]
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#-- Hires Geocoder
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service = 'hires_geocoder'
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@@ -62,7 +64,12 @@ RETURNS SETOF cdb_dataservices_server.service_quota_info AS $$
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used_quota = user_service.used_quota(user_geocoder_config.service_type, today)
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soft_limit = user_geocoder_config.soft_geocoding_limit
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provider = user_geocoder_config.provider
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ret += [[service, monthly_quota, used_quota, soft_limit, provider]]
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batch_geocoder_class = BATCH_GEOCODER_CLASS_BY_PROVIDER.get(provider, None)
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if batch_geocoder_class and hasattr(batch_geocoder_class, 'MAX_BATCH_SIZE'):
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max_batch_size = batch_geocoder_class.MAX_BATCH_SIZE
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else:
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max_batch_size = 1
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ret += [[service, monthly_quota, used_quota, soft_limit, provider, max_batch_size]]
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#-- Routing
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service = 'routing'
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@@ -74,7 +81,7 @@ RETURNS SETOF cdb_dataservices_server.service_quota_info AS $$
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used_quota = user_service.used_quota(user_routing_config.service_type, today)
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soft_limit = user_routing_config.soft_limit
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provider = user_routing_config.provider
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ret += [[service, monthly_quota, used_quota, soft_limit, provider]]
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ret += [[service, monthly_quota, used_quota, soft_limit, provider, 1]]
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#-- Observatory
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service = 'observatory'
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@@ -86,7 +93,7 @@ RETURNS SETOF cdb_dataservices_server.service_quota_info AS $$
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used_quota = user_service.used_quota(user_obs_config.service_type, today)
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soft_limit = user_obs_config.soft_limit
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provider = user_obs_config.provider
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ret += [[service, monthly_quota, used_quota, soft_limit, provider]]
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ret += [[service, monthly_quota, used_quota, soft_limit, provider, 1]]
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return ret
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$$ LANGUAGE plpythonu STABLE PARALLEL RESTRICTED;
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@@ -0,0 +1,11 @@
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from google import GoogleMapsBulkGeocoder
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from here import HereMapsBulkGeocoder
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from tomtom import TomTomBulkGeocoder
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from mapbox import MapboxBulkGeocoder
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BATCH_GEOCODER_CLASS_BY_PROVIDER = {
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'google': GoogleMapsBulkGeocoder,
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'heremaps': HereMapsBulkGeocoder,
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'tomtom': TomTomBulkGeocoder,
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'mapbox': MapboxBulkGeocoder
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}
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@@ -16,7 +16,7 @@ HereJobStatus = namedtuple('HereJobStatus', 'total_count processed_count status'
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class HereMapsBulkGeocoder(HereMapsGeocoder, StreetPointBulkGeocoder):
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MAX_BATCH_SIZE = 1000000 # From the docs
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MIN_BATCHED_SEARCH = 100 # Under this, serial will be used
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MIN_BATCHED_SEARCH = 1000 # Under this, serial will be used
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BATCH_URL = 'https://batch.geocoder.cit.api.here.com/6.2/jobs'
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# https://developer.here.com/documentation/batch-geocoder/topics/read-batch-request-output.html
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META_COLS = ['relevance', 'matchType', 'matchCode', 'matchLevel', 'matchQualityStreet']
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@@ -55,14 +55,17 @@ class HereMapsBulkGeocoder(HereMapsGeocoder, StreetPointBulkGeocoder):
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while True:
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job_info = self._job_status(request_id)
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if job_info.processed_count == last_processed:
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self._logger.debug('--> no progress ({})'.format(last_processed))
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stalled_retries += 1
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if stalled_retries > self.MAX_STALLED_RETRIES:
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raise Exception('Too many retries for job {}'.format(request_id))
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else:
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self._logger.debug('--> progress ({} != {})'.format(job_info.processed_count, last_processed))
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stalled_retries = 0
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last_processed = job_info.processed_count
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self._logger.debug('--> Job poll check: {}'.format(job_info))
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self._logger.debug('--> Job poll check ({}): {}'.format(
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stalled_retries, job_info))
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if job_info.status in self.JOB_FINAL_STATES:
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break
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else:
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@@ -95,7 +98,7 @@ class HereMapsBulkGeocoder(HereMapsGeocoder, StreetPointBulkGeocoder):
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request_params.update({
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'gen': 8,
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'action': 'run',
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#'mailto': 'juanignaciosl@carto.com',
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# 'mailto': 'juanignaciosl@carto.com',
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'header': 'true',
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'inDelim': '|',
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'outDelim': '|',
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@@ -121,8 +124,8 @@ class HereMapsBulkGeocoder(HereMapsGeocoder, StreetPointBulkGeocoder):
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timeout=(self.connect_timeout, self.read_timeout))
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polling_root = ET.fromstring(polling_r.text)
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return HereJobStatus(
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total_count=polling_root.find('./Response/TotalCount').text,
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processed_count=polling_root.find('./Response/ProcessedCount').text,
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total_count=int(polling_root.find('./Response/TotalCount').text),
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processed_count=int(polling_root.find('./Response/ProcessedCount').text),
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status=polling_root.find('./Response/Status').text)
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def _download_results(self, job_id):
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