From edbefad6b01b62fb6e43e3be45cfc301cd5f7a07 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Jes=C3=BAs=20Arroyo=20Torrens?= Date: Fri, 5 Mar 2021 10:44:09 +0100 Subject: [PATCH] Remove DO Python code and SQL tests --- NEWS.md | 3 +- client/renderer/interface.yaml | 384 -------------- client/sql/16_custom_types.sql | 13 +- client/sql/20_table_augmentation.sql | 279 ---------- client/sql/35_precheck_functions.sql | 54 -- client/sql/95_grant_execute_manual.sql | 3 - .../expected/90_data_observatory_test.out | 481 ------------------ .../95_data_observatory_tables_test.out | 77 --- client/test/sql/90_data_observatory_test.sql | 309 ----------- .../sql/95_data_observatory_tables_test.sql | 60 --- .../reference/08-demographic-functions.md | 5 - .../reference/09-segmentation-functions.md | 5 - .../support/03-quota-information.md | 4 +- docs/internal/quota_management.md | 2 +- server/extension/carto-package.json | 3 +- server/extension/sql/200_quotas.sql | 3 +- .../test/expected/00_install_test.out | 8 +- server/extension/test/sql/00_install_test.sql | 1 - .../cartodb_services/metrics/__init__.py | 2 +- .../cartodb_services/metrics/config.py | 72 --- .../cartodb_services/metrics/log.py | 2 - .../cartodb_services/metrics/quota.py | 18 - .../cartodb_services/metrics/user.py | 16 - server/lib/python/cartodb_services/setup.py | 2 +- .../test/metrics/test_config.py | 96 ---- .../cartodb_services/test/test_helper.py | 7 - .../test/test_quota_service.py | 22 - test/README.md | 3 +- .../test_data_observatory_functions.py | 329 ------------ 29 files changed, 11 insertions(+), 2252 deletions(-) delete mode 100644 client/sql/20_table_augmentation.sql delete mode 100644 client/sql/35_precheck_functions.sql delete mode 100644 client/test/expected/90_data_observatory_test.out delete mode 100644 client/test/expected/95_data_observatory_tables_test.out delete mode 100644 client/test/sql/90_data_observatory_test.sql delete mode 100644 client/test/sql/95_data_observatory_tables_test.sql delete mode 100644 docs/developer-center/reference/08-demographic-functions.md delete mode 100644 docs/developer-center/reference/09-segmentation-functions.md delete mode 100644 test/integration/test_data_observatory_functions.py diff --git a/NEWS.md b/NEWS.md index 2e6bb34..5ea4746 100644 --- a/NEWS.md +++ b/NEWS.md @@ -1,7 +1,8 @@ Mar 4th, 2021 ============= * Version `0.39.4` of the server extension - * Remove Data Observatory v1 +* Version `0.23.6` of the Python library + * Remove Data Observatory Jan 26th, 2021 ============== diff --git a/client/renderer/interface.yaml b/client/renderer/interface.yaml index 22585c0..2b54eb5 100644 --- a/client/renderer/interface.yaml +++ b/client/renderer/interface.yaml @@ -311,390 +311,6 @@ - { name: options, type: "text[]", default: 'ARRAY[]::text[]' } - { name: units, type: "text", default: "'kilometers'"} -- name: obs_get_demographic_snapshot - return_type: json - requires_permission: true - permission_name: observatory - permission_error: Data Observatory permission denied - params: - - { name: geom, type: "public.geometry(Geometry, 4326)" } - - { name: time_span, type: "text", default: "'2009 - 2013'::text" } - - { name: geometry_level, type: text, default: 'NULL' } - -- name: obs_get_segment_snapshot - return_type: json - requires_permission: true - permission_name: observatory - permission_error: Data Observatory permission denied - params: - - { name: geom, type: "public.geometry(Geometry, 4326)" } - - { name: geometry_level, type: text, default: 'NULL' } - -- name: obs_getdemographicsnapshot - return_type: SETOF JSON - multi_row: true - requires_permission: true - permission_name: observatory - permission_error: Data Observatory permission denied - params: - - { name: geom, type: "public.geometry(Geometry, 4326)" } - - { name: time_span, type: "text", default: 'NULL' } - - { name: geometry_level, type: text, default: 'NULL' } - -- name: obs_getsegmentsnapshot - return_type: SETOF JSON - multi_row: true - requires_permission: true - permission_name: observatory - permission_error: Data Observatory permission denied - params: - - { name: geom, type: "public.geometry(Geometry, 4326)" } - - { name: geometry_level, type: text, default: 'NULL' } - -- name: obs_getboundary - return_type: public.Geometry - requires_permission: true - permission_name: observatory - permission_error: Data Observatory permission denied - params: - - { name: geom, type: "public.geometry(Geometry, 4326)" } - - { name: boundary_id, type: text } - - { name: time_span, type: text, default: 'NULL'} - -- name: obs_getboundaryid - return_type: text - requires_permission: true - permission_name: observatory - permission_error: Data Observatory permission denied - params: - - { name: geom, type: "public.geometry(Geometry, 4326)" } - - { name: boundary_id, type: text } - - { name: time_span, type: text, default: 'NULL'} - -- name: obs_getboundarybyid - return_type: public.Geometry - requires_permission: true - permission_name: observatory - permission_error: Data Observatory permission denied - params: - - { name: geometry_id, type: text } - - { name: boundary_id, type: text } - - { name: time_span, type: text, default: 'NULL'} - -- name: obs_getboundariesbygeometry - return_type: TABLE(the_geom geometry, geom_refs text) - multi_row: true - multi_field: true - requires_permission: true - permission_name: observatory - permission_error: Data Observatory permission denied - table_fields: - - { name: the_geom, type: geometry } - - { name: geom_refs, type: text } - params: - - { name: geom, type: "public.geometry(Geometry, 4326)" } - - { name: boundary_id, type: text } - - { name: time_span, type: text, default: 'NULL'} - - { name: overlap_type, type: text, default: 'NULL'} - -- name: obs_getboundariesbypointandradius - return_type: TABLE(the_geom geometry, geom_refs text) - multi_row: true - multi_field: true - requires_permission: true - permission_name: observatory - permission_error: Data Observatory permission denied - table_fields: - - { name: the_geom, type: geometry } - - { name: geom_refs, type: text } - params: - - { name: geom, type: "public.geometry(Geometry, 4326)" } - - { name: radius, type: numeric } - - { name: boundary_id, type: text } - - { name: time_span, type: text, default: 'NULL'} - - { name: overlap_type, type: text, default: 'NULL'} - -- name: obs_getpointsbygeometry - return_type: TABLE(the_geom geometry, geom_refs text) - multi_row: true - multi_field: true - requires_permission: true - permission_name: observatory - permission_error: Data Observatory permission denied - table_fields: - - { name: the_geom, type: geometry } - - { name: geom_refs, type: text } - params: - - { name: geom, type: "public.geometry(Geometry, 4326)" } - - { name: boundary_id, type: text } - - { name: time_span, type: text, default: 'NULL'} - - { name: overlap_type, type: text, default: 'NULL'} - -- name: obs_getpointsbypointandradius - return_type: TABLE(the_geom geometry, geom_refs text) - multi_row: true - multi_field: true - requires_permission: true - permission_name: observatory - permission_error: Data Observatory permission denied - table_fields: - - { name: the_geom, type: geometry } - - { name: geom_refs, type: text } - params: - - { name: geom, type: "public.geometry(Geometry, 4326)" } - - { name: radius, type: numeric } - - { name: boundary_id, type: text } - - { name: time_span, type: text, default: 'NULL'} - - { name: overlap_type, type: text, default: 'NULL'} - -- name: obs_getmeasure - return_type: numeric - requires_permission: true - permission_name: observatory - permission_error: Data Observatory permission denied - params: - - { name: geom, type: public.Geometry } - - { name: measure_id, type: text } - - { name: normalize, type: text, default: 'NULL'} - - { name: boundary_id, type: text, default: 'NULL' } - - { name: time_span, type: text, default: 'NULL'} - -- name: obs_getmeasurebyid - return_type: numeric - requires_permission: true - permission_name: observatory - permission_error: Data Observatory permission denied - params: - - { name: geom_ref, type: text } - - { name: measure_id, type: text } - - { name: boundary_id, type: text} - - { name: time_span, type: text, default: 'NULL'} - -- name: obs_getdata - return_type: TABLE(id int, data json) - multi_row: true - multi_field: true - requires_permission: true - permission_name: observatory - permission_error: Data Observatory permission denied - table_fields: - - { name: id, type: integer } - - { name: data, type: json } - params: - - { name: geomvals, type: "geomval[]" } - - { name: params, type: json } - - { name: merge, type: boolean, default: true } - -- name: obs_getdata - return_type: TABLE(id text, data json) - multi_row: true - multi_field: true - requires_permission: true - permission_name: observatory - permission_error: Data Observatory permission denied - table_fields: - - { name: id, type: text } - - { name: data, type: json } - params: - - { name: geomrefs, type: "text[]" } - - { name: params, type: json } - -- name: obs_getmeta - return_type: json - requires_permission: true - permission_name: observatory - permission_error: Data Observatory permission denied - params: - - { name: geom_ref, type: "public.Geometry(Geometry, 4326)" } - - { name: params, type: json } - - { name: max_timespan_rank, type: integer, default: 'NULL' } - - { name: max_score_rank, type: integer, default: 'NULL' } - - { name: target_geoms, type: integer, default: 'NULL' } - -- name: obs_metadatavalidation - return_type: TABLE(valid boolean, errors text[]) - multi_row: true - multi_field: true - requires_permission: true - permission_name: observatory - permission_error: Data Observatory permission denied - params: - - { name: geom_extent, type: "public.Geometry(Geometry, 4326)" } - - { name: geom_type, type: text } - - { name: params, type: json } - - { name: target_geoms, type: integer, default: 'NULL' } - -- name: obs_getcategory - return_type: text - requires_permission: true - permission_name: observatory - permission_error: Data Observatory permission denied - params: - - { name: geom, type: public.Geometry } - - { name: category_id, type: text } - - { name: boundary_id, type: text, default: 'NULL' } - - { name: time_span, type: text, default: 'NULL'} - -- name: obs_getuscensusmeasure - return_type: numeric - requires_permission: true - permission_name: observatory - permission_error: Data Observatory permission denied - params: - - { name: geom, type: public.Geometry } - - { name: name, type: text } - - { name: normalize, type: text, default: 'NULL'} - - { name: boundary_id, type: text, default: 'NULL' } - - { name: time_span, type: text, default: 'NULL'} - -- name: obs_getuscensuscategory - return_type: text - requires_permission: true - permission_name: observatory - permission_error: Data Observatory permission denied - params: - - { name: geom, type: public.Geometry } - - { name: name, type: text } - - { name: boundary_id, type: text, default: 'NULL' } - - { name: time_span, type: text, default: 'NULL'} - -- name: obs_getpopulation - return_type: numeric - requires_permission: true - permission_name: observatory - permission_error: Data Observatory permission denied - params: - - { name: geom, type: public.Geometry } - - { name: normalize, type: text, default: 'NULL'} - - { name: boundary_id, type: text, default: 'NULL' } - - { name: time_span, type: text, default: 'NULL'} - -- name: obs_search - return_type: TABLE(id text, description text, name text, aggregate text, source text) - multi_row: true - multi_field: true - requires_permission: true - permission_name: observatory - permission_error: Data Observatory permission denied - table_fields: - - { name: id, type: text } - - { name: description, type: text } - - { name: name, type: text } - - { name: aggregate, type: text } - - { name: source, type: text } - params: - - { name: search_term, type: text } - - { name: relevant_boundary, type: text, default: 'NULL' } - -- name: obs_getavailableboundaries - return_type: TABLE(boundary_id text, description text, time_span text, tablename text) - multi_row: true - multi_field: true - requires_permission: true - permission_name: observatory - permission_error: Data Observatory permission denied - table_fields: - - { name: boundary_id, type: text } - - { name: description, type: text } - - { name: time_span, type: text } - - { name: tablename, type: text } - params: - - { name: geom, type: public.Geometry } - - { name: timespan, type: text, default: 'NULL'} - -- name: obs_dumpversion - return_type: text - requires_permission: true - permission_name: observatory - permission_error: Data Observatory permission denied - params: - - {} - -- name: obs_getavailablenumerators - return_type: SETOF cdb_dataservices_client.obs_meta_numerator - multi_row: true - multi_field: true - requires_permission: true - permission_name: observatory - permission_error: Data Observatory permission denied - params: - - { name: bounds, type: "public.geometry(Geometry, 4326)", default: 'NULL' } - - { name: filter_tags, type: "text[]", default: 'NULL' } - - { name: denom_id, type: text, default: 'NULL' } - - { name: geom_id, type: text, default: 'NULL' } - - { name: timespan, type: text, default: 'NULL'} - -- name: _obs_getnumerators - return_type: SETOF cdb_dataservices_client.obs_meta_numerator - multi_row: true - multi_field: true - requires_permission: true - permission_name: observatory - permission_error: Data Observatory permission denied - params: - - { name: bounds, type: "public.geometry(Geometry, 4326)", default: 'NULL' } - - { name: section_tags, type: "text[]", default: 'ARRAY[]::TEXT[]' } - - { name: subsection_tags, type: "text[]", default: 'ARRAY[]::TEXT[]' } - - { name: other_tags, type: "text[]", default: 'ARRAY[]::TEXT[]' } - - { name: ids, type: "text[]", default: 'ARRAY[]::TEXT[]' } - - { name: name, type: text, default: 'NULL' } - - { name: denom_id, type: text, default: "''" } - - { name: geom_id, type: text, default: "''" } - - { name: timespan, type: text, default: "''"} - -- name: obs_getavailabledenominators - return_type: SETOF cdb_dataservices_client.obs_meta_denominator - multi_row: true - multi_field: true - requires_permission: true - permission_name: observatory - permission_error: Data Observatory permission denied - params: - - { name: bounds, type: "public.geometry(Geometry, 4326)", default: 'NULL' } - - { name: filter_tags, type: "text[]", default: 'NULL' } - - { name: numer_id, type: text, default: 'NULL' } - - { name: geom_id, type: text, default: 'NULL' } - - { name: timespan, type: text, default: 'NULL'} - -- name: obs_getavailablegeometries - return_type: SETOF cdb_dataservices_client.obs_meta_geometry - multi_row: true - multi_field: true - requires_permission: true - permission_name: observatory - permission_error: Data Observatory permission denied - params: - - { name: bounds, type: "public.geometry(Geometry, 4326)", default: 'NULL' } - - { name: filter_tags, type: "text[]", default: 'NULL' } - - { name: numer_id, type: text, default: 'NULL' } - - { name: denom_id, type: text, default: 'NULL' } - - { name: timespan, type: text, default: 'NULL'} - - { name: number_geometries, type: integer, default: 'NULL'} - -- name: obs_getavailabletimespans - return_type: SETOF cdb_dataservices_client.obs_meta_timespan - multi_row: true - multi_field: true - requires_permission: true - permission_name: observatory - permission_error: Data Observatory permission denied - params: - - { name: bounds, type: "public.geometry(Geometry, 4326)", default: 'NULL' } - - { name: filter_tags, type: "text[]", default: 'NULL' } - - { name: numer_id, type: text, default: 'NULL' } - - { name: denom_id, type: text, default: 'NULL' } - - { name: geom_id, type: text, default: 'NULL'} - -- name: obs_legacybuildermetadata - return_type: TABLE(name text, subsection json) - multi_row: true - multi_field: true - requires_permission: true - permission_name: observatory - permission_error: Data Observatory permission denied - params: - - { name: aggregate_type, type: text, default: 'NULL' } - - name: cdb_service_quota_info return_type: SETOF service_quota_info multi_row: true diff --git a/client/sql/16_custom_types.sql b/client/sql/16_custom_types.sql index bb13ee7..ce4582d 100644 --- a/client/sql/16_custom_types.sql +++ b/client/sql/16_custom_types.sql @@ -16,22 +16,11 @@ CREATE TYPE cdb_dataservices_client.simple_route AS ( duration integer ); --- For the OBS_Meta functions -CREATE TYPE cdb_dataservices_client.obs_meta_numerator AS (numer_id text, numer_name text, numer_description text, numer_weight text, numer_license text, numer_source text, numer_type text, numer_aggregate text, numer_extra jsonb, numer_tags jsonb, valid_denom boolean, valid_geom boolean, valid_timespan boolean); - -CREATE TYPE cdb_dataservices_client.obs_meta_denominator AS (denom_id text, denom_name text, denom_description text, denom_weight text, denom_license text, denom_source text, denom_type text, denom_aggregate text, denom_extra jsonb, denom_tags jsonb, valid_numer boolean, valid_geom boolean, valid_timespan boolean); - -CREATE TYPE cdb_dataservices_client.obs_meta_geometry AS (geom_id text, geom_name text, geom_description text, geom_weight text, geom_aggregate text, geom_license text, geom_source text, valid_numer boolean, valid_denom boolean, valid_timespan boolean, score numeric, numtiles bigint, notnull_percent numeric, numgeoms numeric, percentfill numeric, estnumgeoms numeric, meanmediansize numeric, geom_type text, geom_extra jsonb, geom_tags jsonb); - -CREATE TYPE cdb_dataservices_client.obs_meta_timespan AS (timespan_id text, timespan_name text, timespan_description text, timespan_weight text, timespan_aggregate text, timespan_license text, timespan_source text, valid_numer boolean, valid_denom boolean, valid_geom boolean, timespan_type text, timespan_extra jsonb, timespan_tags jsonb); - - -- For quotas and services configuration CREATE TYPE cdb_dataservices_client.service_type AS ENUM ( 'isolines', 'hires_geocoder', - 'routing', - 'observatory' + 'routing' ); CREATE TYPE cdb_dataservices_client.service_quota_info AS ( diff --git a/client/sql/20_table_augmentation.sql b/client/sql/20_table_augmentation.sql deleted file mode 100644 index 7dd48e8..0000000 --- a/client/sql/20_table_augmentation.sql +++ /dev/null @@ -1,279 +0,0 @@ -CREATE TYPE cdb_dataservices_client.ds_fdw_metadata as (schemaname text, tabname text, servername text); -CREATE TYPE cdb_dataservices_client.ds_return_metadata as (colnames text[], coltypes text[]); - -CREATE OR REPLACE FUNCTION cdb_dataservices_client._DST_PrepareTableOBS_GetMeasure( - output_table_name text, - params json -) RETURNS boolean AS $$ -DECLARE - username text; - user_db_role text; - orgname text; - user_schema text; - result boolean; -BEGIN - IF session_user = 'publicuser' OR session_user ~ 'cartodb_publicuser_*' THEN - RAISE EXCEPTION 'The api_key must be provided'; - END IF; - - SELECT session_user INTO user_db_role; - - SELECT u, o INTO username, orgname FROM cdb_dataservices_client._cdb_entity_config() AS (u text, o text, p json); - -- JSON value stored "" is taken as literal - IF username IS NULL OR username = '' OR username = '""' THEN - RAISE EXCEPTION 'Username is a mandatory argument'; - END IF; - - IF orgname IS NULL OR orgname = '' OR orgname = '""' THEN - user_schema := 'public'; - ELSE - user_schema := username; - END IF; - - SELECT cdb_dataservices_client.__DST_PrepareTableOBS_GetMeasure( - username, - orgname, - user_db_role, - user_schema, - output_table_name, - params - ) INTO result; - - RETURN result; -END; -$$ LANGUAGE 'plpgsql' SECURITY DEFINER VOLATILE PARALLEL UNSAFE - SET search_path = pg_temp; - - -CREATE OR REPLACE FUNCTION cdb_dataservices_client._DST_PopulateTableOBS_GetMeasure( - table_name text, - output_table_name text, - params json -) RETURNS boolean AS $$ -DECLARE - username text; - user_db_role text; - orgname text; - dbname text; - user_schema text; - result boolean; -BEGIN - IF session_user = 'publicuser' OR session_user ~ 'cartodb_publicuser_*' THEN - RAISE EXCEPTION 'The api_key must be provided'; - END IF; - - SELECT session_user INTO user_db_role; - - SELECT u, o INTO username, orgname FROM cdb_dataservices_client._cdb_entity_config() AS (u text, o text, p json); - -- JSON value stored "" is taken as literal - IF username IS NULL OR username = '' OR username = '""' THEN - RAISE EXCEPTION 'Username is a mandatory argument'; - END IF; - - IF orgname IS NULL OR orgname = '' OR orgname = '""' THEN - user_schema := 'public'; - ELSE - user_schema := username; - END IF; - - SELECT current_database() INTO dbname; - - SELECT cdb_dataservices_client.__DST_PopulateTableOBS_GetMeasure( - username, - orgname, - user_db_role, - user_schema, - dbname, - table_name, - output_table_name, - params - ) INTO result; - - RETURN result; -END; -$$ LANGUAGE 'plpgsql' SECURITY DEFINER VOLATILE PARALLEL UNSAFE - SET search_path = pg_temp; - - - -CREATE OR REPLACE FUNCTION cdb_dataservices_client.__DST_PrepareTableOBS_GetMeasure( - username text, - orgname text, - user_db_role text, - user_schema text, - output_table_name text, - params json -) RETURNS boolean AS $$ - function_name = 'OBS_GetMeasure' - # Obtain return types for augmentation procedure - ds_return_metadata = plpy.execute("SELECT colnames, coltypes " - "FROM cdb_dataservices_client._DST_GetReturnMetadata({username}::text, {orgname}::text, {function_name}::text, {params}::json);" - .format( - username=plpy.quote_nullable(username), - orgname=plpy.quote_nullable(orgname), - function_name=plpy.quote_literal(function_name), - params=plpy.quote_literal(params) - ) - ) - if ds_return_metadata[0]["colnames"]: - colnames_arr = ds_return_metadata[0]["colnames"] - coltypes_arr = ds_return_metadata[0]["coltypes"] - else: - raise Exception('Error retrieving OBS_GetMeasure metadata') - - - # Prepare column and type strings required in the SQL queries - columns_with_types_arr = [colnames_arr[i] + ' ' + coltypes_arr[i] for i in range(0,len(colnames_arr))] - columns_with_types = ','.join(columns_with_types_arr) - - # Create a new table with the required columns - plpy.execute('CREATE TABLE "{schema}".{table_name} ( ' - 'cartodb_id int, the_geom public.geometry, {columns_with_types} ' - ');' - .format(schema=user_schema, table_name=output_table_name, columns_with_types=columns_with_types) - ) - - plpy.execute('ALTER TABLE "{schema}".{table_name} OWNER TO "{user}";' - .format(schema=user_schema, table_name=output_table_name, user=user_db_role) - ) - - return True -$$ LANGUAGE @@plpythonu@@ VOLATILE PARALLEL UNSAFE; - -CREATE OR REPLACE FUNCTION cdb_dataservices_client.__DST_PopulateTableOBS_GetMeasure( - username text, - orgname text, - user_db_role text, - user_schema text, - dbname text, - table_name text, - output_table_name text, - params json -) RETURNS boolean AS $$ - function_name = 'OBS_GetMeasure' - # Obtain return types for augmentation procedure - ds_return_metadata = plpy.execute( - "SELECT colnames, coltypes " - "FROM cdb_dataservices_client._DST_GetReturnMetadata({username}::text, {orgname}::text, {function_name}::text, {params}::json);" .format( - username=plpy.quote_nullable(username), - orgname=plpy.quote_nullable(orgname), - function_name=plpy.quote_literal(function_name), - params=plpy.quote_literal(params))) - - if ds_return_metadata[0]["colnames"]: - colnames_arr = ds_return_metadata[0]["colnames"] - coltypes_arr = ds_return_metadata[0]["coltypes"] - else: - raise Exception('Error retrieving OBS_GetMeasure metadata') - - # Prepare column and type strings required in the SQL queries - columns_with_types_arr = [ - colnames_arr[i] + - ' ' + - coltypes_arr[i] for i in range( - 0, - len(colnames_arr))] - columns_with_types = ','.join(columns_with_types_arr) - aliased_colname_list = ','.join( - ['result.' + name for name in colnames_arr]) - - # Instruct the OBS server side to establish a FDW - # The metadata is obtained as well in order to: - # - (a) be able to write the query to grab the actual data to be executed in the remote server via pl/proxy, - # - (b) be able to tell OBS to free resources when done. - ds_fdw_metadata = plpy.execute( - "SELECT schemaname, tabname, servername " - "FROM cdb_dataservices_client._DST_ConnectUserTable({username}::text, {orgname}::text, {user_db_role}::text, " - "{schema}::text, {dbname}::text, {table_name}::text);" .format( - username=plpy.quote_nullable(username), - orgname=plpy.quote_nullable(orgname), - user_db_role=plpy.quote_literal(user_db_role), - schema=plpy.quote_literal(user_schema), - dbname=plpy.quote_literal(dbname), - table_name=plpy.quote_literal(table_name))) - - if ds_fdw_metadata[0]["schemaname"]: - server_schema = ds_fdw_metadata[0]["schemaname"] - server_table_name = ds_fdw_metadata[0]["tabname"] - server_name = ds_fdw_metadata[0]["servername"] - else: - raise Exception('Error connecting dataset via FDW') - - # Create a new table with the required columns - plpy.execute( - 'INSERT INTO "{schema}".{analysis_table_name} ' - 'SELECT ut.cartodb_id, ut.the_geom, {colname_list} ' - 'FROM "{schema}".{table_name} ut ' - 'LEFT JOIN cdb_dataservices_client._DST_FetchJoinFdwTableData({username}::text, {orgname}::text, {server_schema}::text, {server_table_name}::text, ' - '{function_name}::text, {params}::json) ' - 'AS result ({columns_with_types}, cartodb_id int) ' - 'ON result.cartodb_id = ut.cartodb_id;' .format( - schema=user_schema, - analysis_table_name=output_table_name, - colname_list=aliased_colname_list, - table_name=table_name, - username=plpy.quote_nullable(username), - orgname=plpy.quote_nullable(orgname), - server_schema=plpy.quote_literal(server_schema), - server_table_name=plpy.quote_literal(server_table_name), - function_name=plpy.quote_literal(function_name), - params=plpy.quote_literal(params), - columns_with_types=columns_with_types)) - - # Wipe user FDW data from the server - wiped = plpy.execute( - "SELECT cdb_dataservices_client._DST_DisconnectUserTable({username}::text, {orgname}::text, {server_schema}::text, " - "{server_table_name}::text, {fdw_server}::text)" .format( - username=plpy.quote_nullable(username), - orgname=plpy.quote_nullable(orgname), - server_schema=plpy.quote_literal(server_schema), - server_table_name=plpy.quote_literal(server_table_name), - fdw_server=plpy.quote_literal(server_name))) - - return True -$$ LANGUAGE @@plpythonu@@ VOLATILE PARALLEL UNSAFE; - -CREATE OR REPLACE FUNCTION cdb_dataservices_client._DST_ConnectUserTable( - username text, - orgname text, - user_db_role text, - user_schema text, - dbname text, - table_name text -)RETURNS cdb_dataservices_client.ds_fdw_metadata AS $$ - CONNECT cdb_dataservices_client._server_conn_str(); - TARGET cdb_dataservices_server._DST_ConnectUserTable; -$$ LANGUAGE plproxy VOLATILE PARALLEL UNSAFE; - -CREATE OR REPLACE FUNCTION cdb_dataservices_client._DST_GetReturnMetadata( - username text, - orgname text, - function_name text, - params json -) RETURNS cdb_dataservices_client.ds_return_metadata AS $$ - CONNECT cdb_dataservices_client._server_conn_str(); - TARGET cdb_dataservices_server._DST_GetReturnMetadata; -$$ LANGUAGE plproxy VOLATILE PARALLEL UNSAFE; - -CREATE OR REPLACE FUNCTION cdb_dataservices_client._DST_FetchJoinFdwTableData( - username text, - orgname text, - table_schema text, - table_name text, - function_name text, - params json -) RETURNS SETOF record AS $$ - CONNECT cdb_dataservices_client._server_conn_str(); - TARGET cdb_dataservices_server._DST_FetchJoinFdwTableData; -$$ LANGUAGE plproxy VOLATILE PARALLEL UNSAFE; - -CREATE OR REPLACE FUNCTION cdb_dataservices_client._DST_DisconnectUserTable( - username text, - orgname text, - table_schema text, - table_name text, - server_name text -) RETURNS boolean AS $$ - CONNECT cdb_dataservices_client._server_conn_str(); - TARGET cdb_dataservices_server._DST_DisconnectUserTable; -$$ LANGUAGE plproxy VOLATILE PARALLEL UNSAFE; diff --git a/client/sql/35_precheck_functions.sql b/client/sql/35_precheck_functions.sql deleted file mode 100644 index 92f4520..0000000 --- a/client/sql/35_precheck_functions.sql +++ /dev/null @@ -1,54 +0,0 @@ -CREATE OR REPLACE FUNCTION cdb_dataservices_client._OBS_PreCheck( - source_query text, - parameters json -) RETURNS boolean AS $$ -DECLARE - errors text[]; - validator_errors text[]; - validator_error text; - valid boolean; - geoms record; -BEGIN - errors := (ARRAY[])::TEXT[]; - FOR geoms IN EXECUTE format('SELECT ST_GeometryType(the_geom) as geom_type, - bool_and(st_isvalid(the_geom)) as valid, - avg(st_npoints(the_geom)) as avg_vertex, - ST_SetSRID(ST_Extent(the_geom), 4326) as extent, - count(*)::INT as numgeoms - FROM (%s) as _source - GROUP BY ST_GeometryType(the_geom)', source_query) - LOOP - IF geoms.geom_type NOT IN ('ST_Polygon', 'ST_MultiPolygon', 'ST_Point') THEN - errors := array_append(errors, format($data$'Geometry type %s not supported'$data$, geoms.geom_type)); - END IF; - - IF geoms.valid IS FALSE THEN - errors := array_append(errors, 'There are invalid geometries in the input data, please try to fix them'); - END IF; - - -- 1000 vertex for a geometry is a limit we have in the obs_getdata function. You can check here - -- https://github.com/CartoDB/observatory-extension/blob/1.6.0/src/pg/sql/41_observatory_augmentation.sql#L813 - IF geoms.avg_vertex > 1000 THEN - errors := array_append(errors, 'The average number of vertices per geometry is greater than 1000, please try to simplify them'); - END IF; - - -- OBS specific part - EXECUTE 'SELECT valid, errors - FROM cdb_dataservices_client.OBS_MetadataValidation($1, $2, $3, $4)' - INTO valid, validator_errors - USING geoms.extent, geoms.geom_type, parameters, geoms.numgeoms; - IF valid is FALSE THEN - FOR validator_error IN EXECUTE 'SELECT unnest($1)' USING validator_errors - LOOP - errors := array_append(errors, validator_error); - END LOOP; - END IF; - END LOOP; - - IF CARDINALITY(errors) > 0 THEN - RAISE EXCEPTION '%', errors; - END IF; - - RETURN TRUE; -END; -$$ LANGUAGE 'plpgsql' VOLATILE PARALLEL UNSAFE; diff --git a/client/sql/95_grant_execute_manual.sql b/client/sql/95_grant_execute_manual.sql index 099c8df..288c594 100644 --- a/client/sql/95_grant_execute_manual.sql +++ b/client/sql/95_grant_execute_manual.sql @@ -1,6 +1,3 @@ -GRANT EXECUTE ON FUNCTION cdb_dataservices_client._DST_PrepareTableOBS_GetMeasure(output_table_name text, params json) TO publicuser; -GRANT EXECUTE ON FUNCTION cdb_dataservices_client._DST_PopulateTableOBS_GetMeasure(table_name text, output_table_name text, params json) TO publicuser; -GRANT EXECUTE ON FUNCTION cdb_dataservices_client._OBS_PreCheck(source_query text, params JSON) TO publicuser; GRANT EXECUTE ON FUNCTION cdb_dataservices_client.cdb_bulk_geocode_street_point(query text, street_column text, city_column text, state_column text, country_column text, batch_size integer) TO publicuser; GRANT EXECUTE ON FUNCTION cdb_dataservices_client.cdb_count_estimate(query text) TO publicuser; diff --git a/client/test/expected/90_data_observatory_test.out b/client/test/expected/90_data_observatory_test.out deleted file mode 100644 index f10e1a0..0000000 --- a/client/test/expected/90_data_observatory_test.out +++ /dev/null @@ -1,481 +0,0 @@ -\set VERBOSITY terse --- Add to the search path the schema -SET search_path TO public,cartodb,cdb_dataservices_client; --- Mock the server functions -CREATE OR REPLACE FUNCTION cdb_dataservices_server.obs_get_demographic_snapshot (username text, orgname text, geom geometry(Geometry, 4326), time_span text DEFAULT '2009 - 2013', geometry_level text DEFAULT '"us.census.tiger".block_group') -RETURNS json AS $$ -DECLARE - ret json; -BEGIN - RAISE NOTICE 'cdb_dataservices_server.obs_get_demographic_snapshot invoked with params (%, %, %, %, %)', username, orgname, geom, time_span, geometry_level; - SELECT '{"total_pop":9516.27915900609,"male_pop":6152.51885204623,"female_pop":3363.76030695986,"median_age":28.8,"white_pop":5301.51624447348,"black_pop":149.500458087105,"asian_pop":230.000704749392,"hispanic_pop":3835.26175169611,"amerindian_pop":0,"other_race_pop":0,"two_or_more_races_pop":0,"not_hispanic_pop":5681.01740730998,"households":3323.51018362871,"pop_25_years_over":7107.02177675621,"high_school_diploma":1040.753188991,"less_one_year_college":69.0002114248176,"one_year_more_college":793.502431385402,"associates_degree":327.751004267883,"bachelors_degree":2742.7584041365,"masters_degree":931.502854235037,"median_income":66304,"gini_index":0.3494,"income_per_capita":28291,"housing_units":3662.76122313407,"vacant_housing_units":339.251039505353,"vacant_housing_units_for_rent":120.750369993431,"vacant_housing_units_for_sale":0,"median_rent":1764,"percent_income_spent_on_rent":35.3,"owner_occupied_housing_units":339.251039505353,"million_dollar_housing_units":0,"mortgaged_housing_units":224.250687130657,"commuters_16_over":6549.27006773893,"commute_less_10_mins":327.751004267883,"commute_10_14_mins":28.750088093674,"commute_15_19_mins":201.250616655718,"commute_20_24_mins":621.001902823358,"commute_25_29_mins":373.751145217762,"commute_30_34_mins":1851.5056732326,"commute_35_44_mins":1414.50433420876,"commute_45_59_mins":1115.50341803455,"commute_60_more_mins":615.251885204623,"aggregate_travel_time_to_work":null,"income_less_10000":57.500176187348,"income_10000_14999":0,"income_15000_19999":212.750651893187,"income_20000_24999":408.251250930171,"income_25000_29999":0,"income_30000_34999":155.25047570584,"income_35000_39999":109.250334755961,"income_40000_44999":92.0002818997568,"income_45000_49999":63.2501938060828,"income_50000_59999":184.000563799514,"income_60000_74999":621.001902823358,"income_75000_99999":552.001691398541,"income_100000_124999":327.751004267883,"income_125000_149999":333.501021886618,"income_150000_199999":126.500387612166,"income_200000_or_more":null,"land_area":null}'::json INTO ret; - RETURN ret; -END; -$$ LANGUAGE 'plpgsql'; -CREATE OR REPLACE FUNCTION cdb_dataservices_server.obs_get_segment_snapshot (username text, orgname text, geom geometry(Geometry, 4326), geometry_level text DEFAULT '"us.census.tiger".census_tract') -RETURNS json AS $$ -DECLARE - ret json; -BEGIN - RAISE NOTICE 'cdb_dataservices_server.obs_get_segment_snapshot invoked with params (%, %, %, %)', username, orgname, geom, geometry_level; - SELECT '{"total_pop":9516.27915900609,"male_pop":6152.51885204623,"female_pop":3363.76030695986,"median_age":28.8,"white_pop":5301.51624447348,"black_pop":149.500458087105,"asian_pop":230.000704749392,"hispanic_pop":3835.26175169611,"amerindian_pop":0,"other_race_pop":0,"two_or_more_races_pop":0,"not_hispanic_pop":5681.01740730998,"households":3323.51018362871,"pop_25_years_over":7107.02177675621,"high_school_diploma":1040.753188991,"less_one_year_college":69.0002114248176,"one_year_more_college":793.502431385402,"associates_degree":327.751004267883,"bachelors_degree":2742.7584041365,"masters_degree":931.502854235037,"median_income":66304,"gini_index":0.3494,"income_per_capita":28291,"housing_units":3662.76122313407,"vacant_housing_units":339.251039505353,"vacant_housing_units_for_rent":120.750369993431,"vacant_housing_units_for_sale":0,"median_rent":1764,"percent_income_spent_on_rent":35.3,"owner_occupied_housing_units":339.251039505353,"million_dollar_housing_units":0,"mortgaged_housing_units":224.250687130657,"commuters_16_over":6549.27006773893,"commute_less_10_mins":327.751004267883,"commute_10_14_mins":28.750088093674,"commute_15_19_mins":201.250616655718,"commute_20_24_mins":621.001902823358,"commute_25_29_mins":373.751145217762,"commute_30_34_mins":1851.5056732326,"commute_35_44_mins":1414.50433420876,"commute_45_59_mins":1115.50341803455,"commute_60_more_mins":615.251885204623,"aggregate_travel_time_to_work":null,"income_less_10000":57.500176187348,"income_10000_14999":0,"income_15000_19999":212.750651893187,"income_20000_24999":408.251250930171,"income_25000_29999":0,"income_30000_34999":155.25047570584,"income_35000_39999":109.250334755961,"income_40000_44999":92.0002818997568,"income_45000_49999":63.2501938060828,"income_50000_59999":184.000563799514,"income_60000_74999":621.001902823358,"income_75000_99999":552.001691398541,"income_100000_124999":327.751004267883,"income_125000_149999":333.501021886618,"income_150000_199999":126.500387612166,"income_200000_or_more":null,"land_area":null}'::json INTO ret; - RETURN ret; -END; -$$ LANGUAGE 'plpgsql'; -CREATE OR REPLACE FUNCTION cdb_dataservices_server.obs_getdemographicsnapshot (username text, orgname text, geom geometry(Geometry, 4326), time_span text DEFAULT '2009 - 2013', geometry_level text DEFAULT '"us.census.tiger".block_group') -RETURNS json AS $$ -DECLARE - ret json; -BEGIN - RAISE NOTICE 'cdb_dataservices_server.obs_getdemographicsnapshot invoked with params (%, %, %, %, %)', username, orgname, geom, time_span, geometry_level; - SELECT '{"total_pop":9516.27915900609,"male_pop":6152.51885204623,"female_pop":3363.76030695986,"median_age":28.8,"white_pop":5301.51624447348,"black_pop":149.500458087105,"asian_pop":230.000704749392,"hispanic_pop":3835.26175169611,"amerindian_pop":0,"other_race_pop":0,"two_or_more_races_pop":0,"not_hispanic_pop":5681.01740730998,"households":3323.51018362871,"pop_25_years_over":7107.02177675621,"high_school_diploma":1040.753188991,"less_one_year_college":69.0002114248176,"one_year_more_college":793.502431385402,"associates_degree":327.751004267883,"bachelors_degree":2742.7584041365,"masters_degree":931.502854235037,"median_income":66304,"gini_index":0.3494,"income_per_capita":28291,"housing_units":3662.76122313407,"vacant_housing_units":339.251039505353,"vacant_housing_units_for_rent":120.750369993431,"vacant_housing_units_for_sale":0,"median_rent":1764,"percent_income_spent_on_rent":35.3,"owner_occupied_housing_units":339.251039505353,"million_dollar_housing_units":0,"mortgaged_housing_units":224.250687130657,"commuters_16_over":6549.27006773893,"commute_less_10_mins":327.751004267883,"commute_10_14_mins":28.750088093674,"commute_15_19_mins":201.250616655718,"commute_20_24_mins":621.001902823358,"commute_25_29_mins":373.751145217762,"commute_30_34_mins":1851.5056732326,"commute_35_44_mins":1414.50433420876,"commute_45_59_mins":1115.50341803455,"commute_60_more_mins":615.251885204623,"aggregate_travel_time_to_work":null,"income_less_10000":57.500176187348,"income_10000_14999":0,"income_15000_19999":212.750651893187,"income_20000_24999":408.251250930171,"income_25000_29999":0,"income_30000_34999":155.25047570584,"income_35000_39999":109.250334755961,"income_40000_44999":92.0002818997568,"income_45000_49999":63.2501938060828,"income_50000_59999":184.000563799514,"income_60000_74999":621.001902823358,"income_75000_99999":552.001691398541,"income_100000_124999":327.751004267883,"income_125000_149999":333.501021886618,"income_150000_199999":126.500387612166,"income_200000_or_more":null,"land_area":null}'::json INTO ret; - RETURN ret; -END; -$$ LANGUAGE 'plpgsql'; -CREATE OR REPLACE FUNCTION cdb_dataservices_server.obs_getsegmentsnapshot (username text, orgname text, geom geometry(Geometry, 4326), geometry_level text DEFAULT '"us.census.tiger".census_tract') -RETURNS json AS $$ -DECLARE - ret json; -BEGIN - RAISE NOTICE 'cdb_dataservices_server.obs_getsegmentsnapshot invoked with params (%, %, %, %)', username, orgname, geom, geometry_level; - SELECT '{"total_pop":9516.27915900609,"male_pop":6152.51885204623,"female_pop":3363.76030695986,"median_age":28.8,"white_pop":5301.51624447348,"black_pop":149.500458087105,"asian_pop":230.000704749392,"hispanic_pop":3835.26175169611,"amerindian_pop":0,"other_race_pop":0,"two_or_more_races_pop":0,"not_hispanic_pop":5681.01740730998,"households":3323.51018362871,"pop_25_years_over":7107.02177675621,"high_school_diploma":1040.753188991,"less_one_year_college":69.0002114248176,"one_year_more_college":793.502431385402,"associates_degree":327.751004267883,"bachelors_degree":2742.7584041365,"masters_degree":931.502854235037,"median_income":66304,"gini_index":0.3494,"income_per_capita":28291,"housing_units":3662.76122313407,"vacant_housing_units":339.251039505353,"vacant_housing_units_for_rent":120.750369993431,"vacant_housing_units_for_sale":0,"median_rent":1764,"percent_income_spent_on_rent":35.3,"owner_occupied_housing_units":339.251039505353,"million_dollar_housing_units":0,"mortgaged_housing_units":224.250687130657,"commuters_16_over":6549.27006773893,"commute_less_10_mins":327.751004267883,"commute_10_14_mins":28.750088093674,"commute_15_19_mins":201.250616655718,"commute_20_24_mins":621.001902823358,"commute_25_29_mins":373.751145217762,"commute_30_34_mins":1851.5056732326,"commute_35_44_mins":1414.50433420876,"commute_45_59_mins":1115.50341803455,"commute_60_more_mins":615.251885204623,"aggregate_travel_time_to_work":null,"income_less_10000":57.500176187348,"income_10000_14999":0,"income_15000_19999":212.750651893187,"income_20000_24999":408.251250930171,"income_25000_29999":0,"income_30000_34999":155.25047570584,"income_35000_39999":109.250334755961,"income_40000_44999":92.0002818997568,"income_45000_49999":63.2501938060828,"income_50000_59999":184.000563799514,"income_60000_74999":621.001902823358,"income_75000_99999":552.001691398541,"income_100000_124999":327.751004267883,"income_125000_149999":333.501021886618,"income_150000_199999":126.500387612166,"income_200000_or_more":null,"land_area":null}'::json INTO ret; - RETURN ret; -END; -$$ LANGUAGE 'plpgsql'; -CREATE OR REPLACE FUNCTION cdb_dataservices_server.obs_getboundary (username text, orgname text, geom geometry(Geometry, 4326), boundary_id text, time_span text DEFAULT NULL) -RETURNS Geometry(Geometry, 4326) AS $$ -DECLARE - ret Geometry; -BEGIN - RAISE NOTICE 'cdb_dataservices_server.obs_getboundary invoked with params (%, %, %, %, %)', username, orgname, geom, boundary_id, time_span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geometry INTO ret; - RETURN ret; -END; -$$ LANGUAGE 'plpgsql'; -CREATE OR REPLACE FUNCTION cdb_dataservices_server.obs_getboundaryid (username text, orgname text, geom geometry(Geometry, 4326), boundary_id text, time_span text DEFAULT NULL) -RETURNS text AS $$ -DECLARE - ret text; -BEGIN - RAISE NOTICE 'cdb_dataservices_server.obs_getboundaryid invoked with params (%, %, %, %, %)', username, orgname, geom, boundary_id, time_span; - SELECT '36047048500'::text INTO ret; - RETURN ret; -END; -$$ LANGUAGE 'plpgsql'; -CREATE OR REPLACE FUNCTION cdb_dataservices_server.obs_getboundarybyid (username text, orgname text, geometry_id text, boundary_id text, time_span text DEFAULT NULL) -RETURNS Geometry(Geometry, 4326) AS $$ -DECLARE - ret Geometry; -BEGIN - RAISE NOTICE 'cdb_dataservices_server.obs_getboundarybyid invoked with params (%, %, %, %, %)', username, orgname, geometry_id, boundary_id, time_span; - SELECT '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'::geometry INTO ret; - RETURN ret; -END; -$$ LANGUAGE 'plpgsql'; -CREATE OR REPLACE FUNCTION cdb_dataservices_server.obs_getboundariesbypointandradius (username text, orgname text, geom geometry(Geometry, 4326), radius numeric, boundary_id text, time_span text DEFAULT NULL, overlap_type text DEFAULT NULL) -RETURNS TABLE(the_geom geometry, geom_refs text) AS $$ -BEGIN - RAISE NOTICE 'cdb_dataservices_server.obs_getboundariesbypointandradius invoked with params (%, %, %, %, %, %, %)', username, orgname, geom, radius, boundary_id, time_span, overlap_type; - RETURN QUERY SELECT '0106000020E6100000010000000103000000010000001500000083A3E4D5397C52C09946938B315A44404AED45B41D7C52C0785DBF60375A444099F221A81A7C52C0D0EFFB372F5A4440B9C15087157C52C034643C4A255A4440BB438A01127C52C0DE1CAED51E5A44400FECF82F107C52C0876D8B321B5A4440510FD1E80E7C52C0C4D32B65195A44407FDAA84E077C52C0E0675C38105A444092AD2EA7047C52C08E75711B0D5A4440CF2D7425027C52C0A86DC328085A4440EFFCA204FD7B52C07E384888F259444034BC5983F77B52C0205ED72FD8594440E76F4221027C52C0F3A96395D259444081AD122C0E7C52C00ED6FF39CC594440CB63CDC8207C52C031276893C359444047205ED72F7C52C0287D21E4BC594440BD1C76DF317C52C0F8325184D4594440CD1FD3DA347C52C0B0A9F3A8F8594440C72E51BD357C52C0C3651536035A444043024697377C52C028999CDA195A444083A3E4D5397C52C09946938B315A4440'::geometry as the_geom, '36047048900'::text as geom_refs; -END; -$$ LANGUAGE 'plpgsql'; -CREATE OR REPLACE FUNCTION cdb_dataservices_server.obs_getpointsbygeometry (username text, orgname text, geom geometry(Geometry, 4326), boundary_id text, time_span text DEFAULT NULL, overlap_type text DEFAULT NULL) -RETURNS TABLE(the_geom geometry, geom_refs text) AS $$ -BEGIN - RAISE NOTICE 'cdb_dataservices_server.obs_getpointsbygeometry invoked with params (%, %, %, %, %, %)', username, orgname, geom, boundary_id, time_span, overlap_type; - RETURN QUERY SELECT '0101000020E610000037CB75821A7C52C0BA8784EFFD594440'::geometry as the_geom, '36047048900'::text as geom_refs; -END; -$$ LANGUAGE 'plpgsql'; -CREATE OR REPLACE FUNCTION cdb_dataservices_server.obs_getpointsbypointandradius (username text, orgname text, geom geometry(Geometry, 4326), radius numeric, boundary_id text, time_span text DEFAULT NULL, overlap_type text DEFAULT NULL) -RETURNS TABLE(the_geom geometry, geom_refs text) AS $$ -BEGIN - RAISE NOTICE 'cdb_dataservices_server.obs_getpointsbypointandradius invoked with params (%, %, %, %, %, %, %)', username, orgname, geom, radius, boundary_id, time_span, overlap_type; - RETURN QUERY SELECT '0101000020E610000037CB75821A7C52C0BA8784EFFD594440'::geometry as the_geom, '36047048900'::text as geom_refs; -END; -$$ LANGUAGE 'plpgsql'; -CREATE OR REPLACE FUNCTION cdb_dataservices_server.obs_getmeasure (username text, orgname text, geom Geometry, measure_id text, normalize text DEFAULT NULL, boundary_id text DEFAULT NULL, time_span text DEFAULT NULL) -RETURNS numeric AS $$ -DECLARE - ret numeric; -BEGIN - RAISE NOTICE 'cdb_dataservices_server.obs_getmeasure invoked with params (%, %, %, %, %, %, %)', username, orgname, geom, measure_id, normalize, boundary_id, time_span; - SELECT 10923.093200390833950::numeric INTO ret; - RETURN ret; -END; -$$ LANGUAGE 'plpgsql'; -CREATE OR REPLACE FUNCTION cdb_dataservices_server.obs_getmeasurebyid (username text, orgname text, geom_ref text, measure_id text, boundary_id text, time_span text DEFAULT NULL) -RETURNS numeric AS $$ -DECLARE - ret numeric; -BEGIN - RAISE NOTICE 'cdb_dataservices_server.obs_getmeasurebyid invoked with params (%, %, %, %, %, %)', username, orgname, geom_ref, measure_id, boundary_id, time_span; - SELECT 10923.093200390833950::numeric INTO ret; - RETURN ret; -END; -$$ LANGUAGE 'plpgsql'; -CREATE OR REPLACE FUNCTION cdb_dataservices_server.obs_getcategory (username text, orgname text, geom Geometry, category_id text, boundary_id text DEFAULT NULL, time_span text DEFAULT NULL) -RETURNS text AS $$ -DECLARE - ret text; -BEGIN - RAISE NOTICE 'cdb_dataservices_server.obs_getcategory invoked with params (%, %, %, %, %, %)', username, orgname, geom, category_id, boundary_id, time_span; - SELECT 'Wealthy, urban without Kids'::text INTO ret; - RETURN ret; -END; -$$ LANGUAGE 'plpgsql'; -CREATE OR REPLACE FUNCTION cdb_dataservices_server.obs_getuscensusmeasure (username text, orgname text, geom Geometry, name text, normalize text DEFAULT NULL, boundary_id text DEFAULT NULL, time_span text DEFAULT NULL) -RETURNS numeric AS $$ -DECLARE - ret numeric; -BEGIN - RAISE NOTICE 'cdb_dataservices_server.obs_getuscensusmeasure invoked with params (%, %, %, %, %, %, %)', username, orgname, geom, name, normalize, boundary_id, time_span; - SELECT 6789.5647735060920500::numeric INTO ret; - RETURN ret; -END; -$$ LANGUAGE 'plpgsql'; -CREATE OR REPLACE FUNCTION cdb_dataservices_server.obs_getuscensuscategory (username text, orgname text, geom Geometry, name text, boundary_id text DEFAULT NULL, time_span text DEFAULT NULL) -RETURNS text AS $$ -DECLARE - ret text; -BEGIN - RAISE NOTICE 'cdb_dataservices_server.obs_getuscensuscategory invoked with params (%, %, %, %, %, %)', username, orgname, geom, name, boundary_id, time_span; - SELECT 'Wealthy, urban without Kids'::text INTO ret; - RETURN ret; -END; -$$ LANGUAGE 'plpgsql'; -CREATE OR REPLACE FUNCTION cdb_dataservices_server.obs_getpopulation (username text, orgname text, geom Geometry, normalize text DEFAULT NULL, boundary_id text DEFAULT NULL, time_span text DEFAULT NULL) -RETURNS numeric AS $$ -DECLARE - ret numeric; -BEGIN - RAISE NOTICE 'cdb_dataservices_server.obs_getpopulation invoked with params (%, %, %, %, %, %)', username, orgname, geom, normalize, boundary_id, time_span; - SELECT 10923.093200390833950::numeric INTO ret; - RETURN ret; -END; -$$ LANGUAGE 'plpgsql'; -CREATE OR REPLACE FUNCTION cdb_dataservices_server.obs_search (username text, orgname text, search_term text, relevant_boundary text DEFAULT NULL) -RETURNS TABLE(id text, description text, name text, aggregate text, source text) AS $$ -BEGIN - RAISE NOTICE 'cdb_dataservices_server.obs_search invoked with params (%, %, %, %)', username, orgname, search_term, relevant_boundary; - RETURN QUERY SELECT 'es.ine.total_pop'::text as id, 'The total number of all people living in a geographic area.'::text as description, 'Total Population'::text as name, 'sum'::text as aggregate, NULL::text as source; -END; -$$ LANGUAGE 'plpgsql'; -CREATE OR REPLACE FUNCTION cdb_dataservices_server.obs_getavailableboundaries (username text, orgname text, geom geometry(Geometry, 4326), timespan text DEFAULT NULL) -RETURNS TABLE(boundary_id text, description text, time_span text, tablename text) AS $$ -BEGIN - RAISE NOTICE 'cdb_dataservices_server.obs_getavailableboundaries invoked with params (%, %, %, %)', username, orgname, geom, timespan; - RETURN QUERY SELECT 'us.census.tiger.place'::text as boundary_id, 'Incorporated places are those reported to the Census Bureau as legally in existence as of January 1, 2010, as reported in the latest Boundary and Annexation Survey (BAS), under the laws of their respective states.'::text as description, '2014'::text as timespan, 'obs_7c9493c41fa8f4bd178ab993ea3d5891c1977667'::text as tablename; -END; -$$ LANGUAGE 'plpgsql'; -CREATE OR REPLACE FUNCTION cdb_dataservices_server.obs_getboundariesbygeometry (username text, orgname text, geom geometry(Geometry, 4326), boundary_id text, time_span text DEFAULT NULL, overlap_type text DEFAULT NULL) -RETURNS TABLE(the_geom geometry, geom_refs text) AS $$ -BEGIN - RAISE NOTICE 'cdb_dataservices_server.obs_getboundariesbygeometry invoked with params (%, %, %, %, %, %)', username, orgname, geom, boundary_id, time_span, overlap_type; - RETURN QUERY SELECT '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'::geometry as the_geom, '36047049300'::text as geom_refs; -END; -$$ LANGUAGE 'plpgsql'; -CREATE OR REPLACE FUNCTION cdb_dataservices_server.obs_getmeta(username text, orgname text, geom geometry(Geometry, 4326), params JSON, max_timespan_rank INTEGER DEFAULT NULL, max_score_rank INTEGER DEFAULT NULL, target_geoms INTEGER DEFAULT NULL) -RETURNS JSON AS $$ -BEGIN - RAISE NOTICE 'cdb_dataservices_server.obs_getmeta invoked with params (%, %, %, %, %, %, %)', username, orgname, geom, params, max_timespan_rank, max_score_rank, target_geoms; - RETURN '[{"id" : 1, "numer_id" : "us.census.acs.B01003001", "timespan_rank" : 1, "score_rank" : 1, "score" : 19.9580760018781868330120152747832081562684, "numer_aggregate" : "sum", "numer_colname" : "total_pop", "numer_geomref_colname" : "geoid", "numer_tablename" : "obs_209d3476ef8eaaa18e597cabcf1bdb627f37aa5e", "numer_type" : "Numeric", "denom_aggregate" : null, "denom_colname" : null, "denom_geomref_colname" : null, "denom_tablename" : null, "denom_type" : null, "geom_colname" : "the_geom", "geom_geomref_colname" : "geoid", "geom_tablename" : "obs_78fb6c1d6ff6505225175922c2c389ce48d7632c", "geom_type" : "Geometry", "geom_timespan" : "2015", "numer_timespan" : "2011 - 2015", "numer_name" : "Total Population", "denom_name" : null, "geom_name" : "US Census Block Groups", "normalization" : null, "denom_id" : null, "geom_id" : "us.census.tiger.block_group"}]'::JSON; -END; -$$ LANGUAGE 'plpgsql'; -CREATE OR REPLACE FUNCTION cdb_dataservices_server.obs_getdata(username text, orgname text, geomrefs text[], params json) -RETURNS TABLE (id TEXT, data JSON) AS $$ -BEGIN - RAISE NOTICE 'cdb_dataservices_server.obs_getdata invoked with params (%, %, %, %)', username, orgname, geomrefs, params; - RETURN QUERY SELECT '36047'::TEXT AS id, '[{"value" : 10349.1547875017}]'::JSON AS data; -END; -$$ LANGUAGE 'plpgsql'; -CREATE OR REPLACE FUNCTION cdb_dataservices_server.obs_getdata(username text, orgname text, geomvals geomval[], params json, merge boolean default true) -RETURNS TABLE (id TEXT, data JSON) AS $$ -BEGIN - RAISE NOTICE 'cdb_dataservices_server.obs_getdata invoked with params (%, %, %, %, %)', username, orgname, geomvals, params, merge; - RETURN QUERY SELECT '36047'::TEXT AS id, '[{"value" : 10349.1547875017}]'::JSON AS data; -END; -$$ LANGUAGE 'plpgsql'; -CREATE OR REPLACE FUNCTION cdb_dataservices_server.obs_metadatavalidation(username text, orgname text, geom_extent geometry(Geometry, 4326), geom_type text, params JSON, target_geoms INTEGER DEFAULT NULL) -RETURNS TABLE (valid boolean, errors text[]) AS $$ -BEGIN - RAISE NOTICE 'cdb_dataservices_server.obs_metadatavalidation invoked with params (%, %, %, %, %, %)', username, orgname, geom_extent, geom_type, params, target_geoms; - RETURN QUERY SELECT true AS valid, ARRAY[]::TEXT[] AS errors; -END; -$$ LANGUAGE 'plpgsql'; --- -- Exercise the public and the proxied function --- No permissions granted -SELECT obs_get_demographic_snapshot(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326), '2009 - 2013'::text, '"us.census.tiger".block_group'::text); -ERROR: Data Observatory permission denied -SELECT obs_get_segment_snapshot(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326), '"us.census.tiger".block_group'::text); -ERROR: Data Observatory permission denied -SELECT obs_getdemographicsnapshot(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326), '2009 - 2013', '"us.census.tiger".block_group'::text); -ERROR: Data Observatory permission denied -SELECT obs_getsegmentsnapshot(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326), '"us.census.tiger".block_group'::text); -ERROR: Data Observatory permission denied -SELECT obs_getboundary(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326), 'us.census.tiger.census_tract'::text); -ERROR: Data Observatory permission denied -SELECT obs_getboundaryid(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326), 'us.census.tiger.census_tract'::text); -ERROR: Data Observatory permission denied -SELECT obs_getboundarybyid('36047'::text, 'us.census.tiger.county'::text); -ERROR: Data Observatory permission denied -SELECT obs_getboundariesbygeometry(ST_MakeEnvelope(-73.9452409744, 40.6988851644, -73.9280319214, 40.7101254524, 4326), 'us.census.tiger.census_tract'::text); -ERROR: Data Observatory permission denied -SELECT obs_getboundariesbypointandradius(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326), 500, 'us.census.tiger.census_tract'::text); -ERROR: Data Observatory permission denied -SELECT obs_getpointsbygeometry(ST_MakeEnvelope(-73.9452409744, 40.6988851644, -73.9280319214, 40.7101254524, 4326), 'us.census.tiger.census_tract'::text); -ERROR: Data Observatory permission denied -SELECT obs_getpointsbypointandradius(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326), 500::numeric, 'us.census.tiger.census_tract'::text); -ERROR: Data Observatory permission denied -SELECT obs_getmeasure(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326), 'us.census.acs.B01001001'::text); -ERROR: Data Observatory permission denied -SELECT obs_getmeasurebyid('36047'::text, 'us.census.acs.B01001001'::text, 'us.census.tiger.county'::text); -ERROR: Data Observatory permission denied -SELECT obs_getcategory(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326), 'us.census.spielman_singleton_segments.X10'::text); -ERROR: Data Observatory permission denied -SELECT obs_getuscensusmeasure(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326), 'male population'::text); -ERROR: Data Observatory permission denied -SELECT obs_getuscensuscategory(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326), 'Spielman-Singleton Segments: 10 Clusters'::text); -ERROR: Data Observatory permission denied -SELECT obs_getpopulation(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326)); -ERROR: Data Observatory permission denied -SELECT obs_search('total_pop'::text); -ERROR: Data Observatory permission denied -SELECT obs_getavailableboundaries(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326)); -ERROR: Data Observatory permission denied -SELECT obs_getmeta(ST_SetSRID(ST_Point(-73.9, 40.7), 4326), '[{"numer_id": "us.census.acs.B01003001"}]', 1, 1, 1000); -ERROR: Data Observatory permission denied -SELECT obs_getdata(ARRAY['36047'], obs_getmeta(st_setsrid(st_point(-73.9, 40.7), 4326), '[{"numer_id": "us.census.acs.B01003001", "geom_id": "us.census.tiger.county"}]', 1, 1, 1000)); -ERROR: Data Observatory permission denied -SELECT obs_getdata(ARRAY[(ST_SetSRID(ST_Point(-73.9, 40.7), 4326), 1)::geomval], obs_getmeta(st_setsrid(st_point(-73.9, 40.7), 4326), '[{"numer_id": "us.census.acs.B01003001"}]')); -ERROR: Data Observatory permission denied -SELECT obs_metadatavalidation(ST_SetSRID(ST_Point(-73.9, 40.7), 4326), 'ST_Polygon', '[{"numer_id": "us.census.acs.B01003001"}]', 1000); -ERROR: Data Observatory permission denied --- Grant other permissions but DO -SELECT CDB_Conf_SetConf('api_keys_postgres', '{"username": "test_user", "permissions": ["routing", "isolines"]}'); - cdb_conf_setconf ------------------- - -(1 row) - -SELECT obs_get_demographic_snapshot(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326), '2009 - 2013'::text, '"us.census.tiger".block_group'::text); -ERROR: Data Observatory permission denied -SELECT obs_get_segment_snapshot(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326), '"us.census.tiger".block_group'::text); -ERROR: Data Observatory permission denied -SELECT obs_getdemographicsnapshot(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326), '2009 - 2013', '"us.census.tiger".block_group'::text); -ERROR: Data Observatory permission denied -SELECT obs_getsegmentsnapshot(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326), '"us.census.tiger".block_group'::text); -ERROR: Data Observatory permission denied -SELECT obs_getboundary(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326), 'us.census.tiger.census_tract'::text); -ERROR: Data Observatory permission denied -SELECT obs_getboundaryid(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326), 'us.census.tiger.census_tract'::text); -ERROR: Data Observatory permission denied -SELECT obs_getboundarybyid('36047'::text, 'us.census.tiger.county'::text); -ERROR: Data Observatory permission denied -SELECT obs_getboundariesbygeometry(ST_MakeEnvelope(-73.9452409744, 40.6988851644, -73.9280319214, 40.7101254524, 4326), 'us.census.tiger.census_tract'::text); -ERROR: Data Observatory permission denied -SELECT obs_getboundariesbypointandradius(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326), 500, 'us.census.tiger.census_tract'::text); -ERROR: Data Observatory permission denied -SELECT obs_getpointsbygeometry(ST_MakeEnvelope(-73.9452409744, 40.6988851644, -73.9280319214, 40.7101254524, 4326), 'us.census.tiger.census_tract'::text); -ERROR: Data Observatory permission denied -SELECT obs_getpointsbypointandradius(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326), 500::numeric, 'us.census.tiger.census_tract'::text); -ERROR: Data Observatory permission denied -SELECT obs_getmeasure(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326), 'us.census.acs.B01001001'::text); -ERROR: Data Observatory permission denied -SELECT obs_getmeasurebyid('36047'::text, 'us.census.acs.B01001001'::text, 'us.census.tiger.county'::text); -ERROR: Data Observatory permission denied -SELECT obs_getcategory(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326), 'us.census.spielman_singleton_segments.X10'::text); -ERROR: Data Observatory permission denied -SELECT obs_getuscensusmeasure(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326), 'male population'::text); -ERROR: Data Observatory permission denied -SELECT obs_getuscensuscategory(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326), 'Spielman-Singleton Segments: 10 Clusters'::text); -ERROR: Data Observatory permission denied -SELECT obs_getpopulation(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326)); -ERROR: Data Observatory permission denied -SELECT obs_search('total_pop'::text); -ERROR: Data Observatory permission denied -SELECT obs_getavailableboundaries(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326)); -ERROR: Data Observatory permission denied -SELECT obs_getmeta(ST_SetSRID(ST_Point(-73.9, 40.7), 4326), '[{"numer_id": "us.census.acs.B01003001"}]', 1, 1, 1000); -ERROR: Data Observatory permission denied -SELECT obs_getdata(ARRAY['36047'], obs_getmeta(st_setsrid(st_point(-73.9, 40.7), 4326), '[{"numer_id": "us.census.acs.B01003001", "geom_id": "us.census.tiger.county"}]', 1, 1, 1000)); -ERROR: Data Observatory permission denied -SELECT obs_getdata(ARRAY[(ST_SetSRID(ST_Point(-73.9, 40.7), 4326), 1)::geomval], obs_getmeta(st_setsrid(st_point(-73.9, 40.7), 4326), '[{"numer_id": "us.census.acs.B01003001"}]')); -ERROR: Data Observatory permission denied -SELECT obs_metadatavalidation(ST_SetSRID(ST_Point(-73.9, 40.7), 4326), 'ST_Polygon', '[{"numer_id": "us.census.acs.B01003001"}]', 1000); -ERROR: Data Observatory permission denied --- Grant DO permissions -SELECT CDB_Conf_SetConf('api_keys_postgres', '{"username": "test_user", "permissions": ["observatory"]}'); - cdb_conf_setconf ------------------- - -(1 row) - -SELECT obs_get_demographic_snapshot(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326), '2009 - 2013'::text, '"us.census.tiger".block_group'::text); -NOTICE: cdb_dataservices_client._obs_get_demographic_snapshot(5): [contrib_regression] REMOTE NOTICE: cdb_dataservices_server.obs_get_demographic_snapshot invoked with params (test_user, , 0101000020E6100000548B8862F27B52C0DDD1FF722D5A4440, 2009 - 2013, "us.census.tiger".block_group) - obs_get_demographic_snapshot -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- - {"total_pop":9516.27915900609,"male_pop":6152.51885204623,"female_pop":3363.76030695986,"median_age":28.8,"white_pop":5301.51624447348,"black_pop":149.500458087105,"asian_pop":230.000704749392,"hispanic_pop":3835.26175169611,"amerindian_pop":0,"other_race_pop":0,"two_or_more_races_pop":0,"not_hispanic_pop":5681.01740730998,"households":3323.51018362871,"pop_25_years_over":7107.02177675621,"high_school_diploma":1040.753188991,"less_one_year_college":69.0002114248176,"one_year_more_college":793.502431385402,"associates_degree":327.751004267883,"bachelors_degree":2742.7584041365,"masters_degree":931.502854235037,"median_income":66304,"gini_index":0.3494,"income_per_capita":28291,"housing_units":3662.76122313407,"vacant_housing_units":339.251039505353,"vacant_housing_units_for_rent":120.750369993431,"vacant_housing_units_for_sale":0,"median_rent":1764,"percent_income_spent_on_rent":35.3,"owner_occupied_housing_units":339.251039505353,"million_dollar_housing_units":0,"mortgaged_housing_units":224.250687130657,"commuters_16_over":6549.27006773893,"commute_less_10_mins":327.751004267883,"commute_10_14_mins":28.750088093674,"commute_15_19_mins":201.250616655718,"commute_20_24_mins":621.001902823358,"commute_25_29_mins":373.751145217762,"commute_30_34_mins":1851.5056732326,"commute_35_44_mins":1414.50433420876,"commute_45_59_mins":1115.50341803455,"commute_60_more_mins":615.251885204623,"aggregate_travel_time_to_work":null,"income_less_10000":57.500176187348,"income_10000_14999":0,"income_15000_19999":212.750651893187,"income_20000_24999":408.251250930171,"income_25000_29999":0,"income_30000_34999":155.25047570584,"income_35000_39999":109.250334755961,"income_40000_44999":92.0002818997568,"income_45000_49999":63.2501938060828,"income_50000_59999":184.000563799514,"income_60000_74999":621.001902823358,"income_75000_99999":552.001691398541,"income_100000_124999":327.751004267883,"income_125000_149999":333.501021886618,"income_150000_199999":126.500387612166,"income_200000_or_more":null,"land_area":null} -(1 row) - -SELECT obs_get_segment_snapshot(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326), '"us.census.tiger".block_group'::text); -NOTICE: cdb_dataservices_client._obs_get_segment_snapshot(4): [contrib_regression] REMOTE NOTICE: cdb_dataservices_server.obs_get_segment_snapshot invoked with params (test_user, , 0101000020E6100000548B8862F27B52C0DDD1FF722D5A4440, "us.census.tiger".block_group) - obs_get_segment_snapshot -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- - {"total_pop":9516.27915900609,"male_pop":6152.51885204623,"female_pop":3363.76030695986,"median_age":28.8,"white_pop":5301.51624447348,"black_pop":149.500458087105,"asian_pop":230.000704749392,"hispanic_pop":3835.26175169611,"amerindian_pop":0,"other_race_pop":0,"two_or_more_races_pop":0,"not_hispanic_pop":5681.01740730998,"households":3323.51018362871,"pop_25_years_over":7107.02177675621,"high_school_diploma":1040.753188991,"less_one_year_college":69.0002114248176,"one_year_more_college":793.502431385402,"associates_degree":327.751004267883,"bachelors_degree":2742.7584041365,"masters_degree":931.502854235037,"median_income":66304,"gini_index":0.3494,"income_per_capita":28291,"housing_units":3662.76122313407,"vacant_housing_units":339.251039505353,"vacant_housing_units_for_rent":120.750369993431,"vacant_housing_units_for_sale":0,"median_rent":1764,"percent_income_spent_on_rent":35.3,"owner_occupied_housing_units":339.251039505353,"million_dollar_housing_units":0,"mortgaged_housing_units":224.250687130657,"commuters_16_over":6549.27006773893,"commute_less_10_mins":327.751004267883,"commute_10_14_mins":28.750088093674,"commute_15_19_mins":201.250616655718,"commute_20_24_mins":621.001902823358,"commute_25_29_mins":373.751145217762,"commute_30_34_mins":1851.5056732326,"commute_35_44_mins":1414.50433420876,"commute_45_59_mins":1115.50341803455,"commute_60_more_mins":615.251885204623,"aggregate_travel_time_to_work":null,"income_less_10000":57.500176187348,"income_10000_14999":0,"income_15000_19999":212.750651893187,"income_20000_24999":408.251250930171,"income_25000_29999":0,"income_30000_34999":155.25047570584,"income_35000_39999":109.250334755961,"income_40000_44999":92.0002818997568,"income_45000_49999":63.2501938060828,"income_50000_59999":184.000563799514,"income_60000_74999":621.001902823358,"income_75000_99999":552.001691398541,"income_100000_124999":327.751004267883,"income_125000_149999":333.501021886618,"income_150000_199999":126.500387612166,"income_200000_or_more":null,"land_area":null} -(1 row) - -SELECT obs_getdemographicsnapshot(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326), '2009 - 2013', '"us.census.tiger".block_group'::text); -NOTICE: cdb_dataservices_client._obs_getdemographicsnapshot(5): [contrib_regression] REMOTE NOTICE: cdb_dataservices_server.obs_getdemographicsnapshot invoked with params (test_user, , 0101000020E6100000548B8862F27B52C0DDD1FF722D5A4440, 2009 - 2013, "us.census.tiger".block_group) - obs_getdemographicsnapshot -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- - {"total_pop":9516.27915900609,"male_pop":6152.51885204623,"female_pop":3363.76030695986,"median_age":28.8,"white_pop":5301.51624447348,"black_pop":149.500458087105,"asian_pop":230.000704749392,"hispanic_pop":3835.26175169611,"amerindian_pop":0,"other_race_pop":0,"two_or_more_races_pop":0,"not_hispanic_pop":5681.01740730998,"households":3323.51018362871,"pop_25_years_over":7107.02177675621,"high_school_diploma":1040.753188991,"less_one_year_college":69.0002114248176,"one_year_more_college":793.502431385402,"associates_degree":327.751004267883,"bachelors_degree":2742.7584041365,"masters_degree":931.502854235037,"median_income":66304,"gini_index":0.3494,"income_per_capita":28291,"housing_units":3662.76122313407,"vacant_housing_units":339.251039505353,"vacant_housing_units_for_rent":120.750369993431,"vacant_housing_units_for_sale":0,"median_rent":1764,"percent_income_spent_on_rent":35.3,"owner_occupied_housing_units":339.251039505353,"million_dollar_housing_units":0,"mortgaged_housing_units":224.250687130657,"commuters_16_over":6549.27006773893,"commute_less_10_mins":327.751004267883,"commute_10_14_mins":28.750088093674,"commute_15_19_mins":201.250616655718,"commute_20_24_mins":621.001902823358,"commute_25_29_mins":373.751145217762,"commute_30_34_mins":1851.5056732326,"commute_35_44_mins":1414.50433420876,"commute_45_59_mins":1115.50341803455,"commute_60_more_mins":615.251885204623,"aggregate_travel_time_to_work":null,"income_less_10000":57.500176187348,"income_10000_14999":0,"income_15000_19999":212.750651893187,"income_20000_24999":408.251250930171,"income_25000_29999":0,"income_30000_34999":155.25047570584,"income_35000_39999":109.250334755961,"income_40000_44999":92.0002818997568,"income_45000_49999":63.2501938060828,"income_50000_59999":184.000563799514,"income_60000_74999":621.001902823358,"income_75000_99999":552.001691398541,"income_100000_124999":327.751004267883,"income_125000_149999":333.501021886618,"income_150000_199999":126.500387612166,"income_200000_or_more":null,"land_area":null} -(1 row) - -SELECT obs_getsegmentsnapshot(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326), '"us.census.tiger".block_group'::text); -NOTICE: cdb_dataservices_client._obs_getsegmentsnapshot(4): [contrib_regression] REMOTE NOTICE: cdb_dataservices_server.obs_getsegmentsnapshot invoked with params (test_user, , 0101000020E6100000548B8862F27B52C0DDD1FF722D5A4440, "us.census.tiger".block_group) - obs_getsegmentsnapshot -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- - {"total_pop":9516.27915900609,"male_pop":6152.51885204623,"female_pop":3363.76030695986,"median_age":28.8,"white_pop":5301.51624447348,"black_pop":149.500458087105,"asian_pop":230.000704749392,"hispanic_pop":3835.26175169611,"amerindian_pop":0,"other_race_pop":0,"two_or_more_races_pop":0,"not_hispanic_pop":5681.01740730998,"households":3323.51018362871,"pop_25_years_over":7107.02177675621,"high_school_diploma":1040.753188991,"less_one_year_college":69.0002114248176,"one_year_more_college":793.502431385402,"associates_degree":327.751004267883,"bachelors_degree":2742.7584041365,"masters_degree":931.502854235037,"median_income":66304,"gini_index":0.3494,"income_per_capita":28291,"housing_units":3662.76122313407,"vacant_housing_units":339.251039505353,"vacant_housing_units_for_rent":120.750369993431,"vacant_housing_units_for_sale":0,"median_rent":1764,"percent_income_spent_on_rent":35.3,"owner_occupied_housing_units":339.251039505353,"million_dollar_housing_units":0,"mortgaged_housing_units":224.250687130657,"commuters_16_over":6549.27006773893,"commute_less_10_mins":327.751004267883,"commute_10_14_mins":28.750088093674,"commute_15_19_mins":201.250616655718,"commute_20_24_mins":621.001902823358,"commute_25_29_mins":373.751145217762,"commute_30_34_mins":1851.5056732326,"commute_35_44_mins":1414.50433420876,"commute_45_59_mins":1115.50341803455,"commute_60_more_mins":615.251885204623,"aggregate_travel_time_to_work":null,"income_less_10000":57.500176187348,"income_10000_14999":0,"income_15000_19999":212.750651893187,"income_20000_24999":408.251250930171,"income_25000_29999":0,"income_30000_34999":155.25047570584,"income_35000_39999":109.250334755961,"income_40000_44999":92.0002818997568,"income_45000_49999":63.2501938060828,"income_50000_59999":184.000563799514,"income_60000_74999":621.001902823358,"income_75000_99999":552.001691398541,"income_100000_124999":327.751004267883,"income_125000_149999":333.501021886618,"income_150000_199999":126.500387612166,"income_200000_or_more":null,"land_area":null} -(1 row) - -SELECT obs_getboundary(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326), 'us.census.tiger.census_tract'::text); -NOTICE: cdb_dataservices_client._obs_getboundary(5): [contrib_regression] REMOTE NOTICE: cdb_dataservices_server.obs_getboundary invoked with params (test_user, , 0101000020E6100000548B8862F27B52C0DDD1FF722D5A4440, us.census.tiger.census_tract, ) - obs_getboundary ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- - 0106000020E6100000010000000103000000010000003500000056EF703B347C52C054FF2092215B44401B9AB2D30F7C52C03FE1ECD6325B4440B14B546F0D7C52C0BBCE86FC335B4440730F09DFFB7B52C0B796C9703C5B4440108FC4CBD37B52C0B96C74CE4F5B444001C0B167CF7B52C0ED0BE8853B5B4440C843DFDDCA7B52C05DDDB1D8265B4440A73D25E7C47B52C0D53BDC0E0D5B4440BB5E9A22C07B52C0F8A3A833F75A4440355F251FBB7B52C0B64604E3E05A444008910C39B67B52C098BF42E6CA5A44405227A089B07B52C0F204C24EB15A444024F1F274AE7B52C069E4F38AA75A44402B4A09C1AA7B52C06B63EC84975A4440E199D024B17B52C0546F0D6C955A44403C873254C57B52C02EAC1BEF8E5A44402593533BC37B52C0588AE42B815A4440973AC8EBC17B52C087890629785A44407A6F0C01C07B52C0E1EB6B5D6A5A44401B9B1DA9BE7B52C03F6F2A52615A444088855AD3BC7B52C088669E5C535A4440E1EA0088BB7B52C0E6E95C514A5A44400CE6AF90B97B52C070D05E7D3C5A44401E85EB51B87B52C0B03A72A4335A4440BAF3C473B67B52C09929ADBF255A4440CD920035B57B52C0454AB3791C5A4440F78DAF3DB37B52C0E09BA6CF0E5A4440DBC2F352B17B52C0703FE081015A444015C440D7BE7B52C05E83BEF4F659444041446ADAC57B52C0EFDFBC38F15944405FB1868BDC7B52C0C03E3A75E559444034BC5983F77B52C0205ED72FD8594440EFFCA204FD7B52C07E384888F25944403ACAC16C027C52C00876FC17085A444056478E74067C52C00FECF82F105A44400FECF82F107C52C0876D8B321B5A4440BB438A01127C52C0DE1CAED51E5A4440B9C15087157C52C034643C4A255A444099F221A81A7C52C0D0EFFB372F5A44404AED45B41D7C52C0785DBF60375A4440373465A71F7C52C065A71FD4455A4440C558A65F227C52C0D80DDB16655A4440F92EA52E197C52C09BA73AE4665A4440DEE522BE137C52C00664AF777F5A44405698BED7107C52C04759BF99985A444012D90759167C52C09430D3F6AF5A444044679945287C52C01F680586AC5A444049F086342A7C52C09CC3B5DAC35A44401FF5D72B2C7C52C0CB811E6ADB5A4440247EC51A2E7C52C0548B8862F25A4440FF59F3E32F7C52C0CB290131095B4440F96871C6307C52C09605137F145B444056EF703B347C52C054FF2092215B4440 -(1 row) - -SELECT obs_getboundaryid(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326), 'us.census.tiger.census_tract'::text); -NOTICE: cdb_dataservices_client._obs_getboundaryid(5): [contrib_regression] REMOTE NOTICE: cdb_dataservices_server.obs_getboundaryid invoked with params (test_user, , 0101000020E6100000548B8862F27B52C0DDD1FF722D5A4440, us.census.tiger.census_tract, ) - obs_getboundaryid -------------------- - 36047048500 -(1 row) - -SELECT obs_getboundarybyid('36047'::text, 'us.census.tiger.county'::text); -NOTICE: cdb_dataservices_client._obs_getboundarybyid(5): [contrib_regression] REMOTE NOTICE: cdb_dataservices_server.obs_getboundarybyid invoked with params (test_user, , 36047, us.census.tiger.county, ) - obs_getboundarybyid ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- - 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 -(1 row) - -SELECT obs_getboundariesbygeometry(ST_MakeEnvelope(-73.9452409744, 40.6988851644, -73.9280319214, 40.7101254524, 4326), 'us.census.tiger.census_tract'::text); -NOTICE: cdb_dataservices_client._obs_getboundariesbygeometry(6): [contrib_regression] REMOTE NOTICE: cdb_dataservices_server.obs_getboundariesbygeometry invoked with params (test_user, , 0103000020E61000000100000005000000C7F8FFD37E7C52C0F860AE1175594440C7F8FFD37E7C52C0BF0E0D64E55A4440A70300E0647B52C0BF0E0D64E55A4440A70300E0647B52C0F860AE1175594440C7F8FFD37E7C52C0F860AE1175594440, us.census.tiger.census_tract, , ) - obs_getboundariesbygeometry ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- - (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,36047049300) -(1 row) - -SELECT obs_getboundariesbypointandradius(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326), 500, 'us.census.tiger.census_tract'::text); -NOTICE: cdb_dataservices_client._obs_getboundariesbypointandradius(7): [contrib_regression] REMOTE NOTICE: cdb_dataservices_server.obs_getboundariesbypointandradius invoked with params (test_user, , 0101000020E6100000548B8862F27B52C0DDD1FF722D5A4440, 500, us.census.tiger.census_tract, , ) - obs_getboundariesbypointandradius --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- - (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,36047048900) -(1 row) - -SELECT obs_getpointsbygeometry(ST_MakeEnvelope(-73.9452409744, 40.6988851644, -73.9280319214, 40.7101254524, 4326), 'us.census.tiger.census_tract'::text); -NOTICE: cdb_dataservices_client._obs_getpointsbygeometry(6): [contrib_regression] REMOTE NOTICE: cdb_dataservices_server.obs_getpointsbygeometry invoked with params (test_user, , 0103000020E61000000100000005000000C7F8FFD37E7C52C0F860AE1175594440C7F8FFD37E7C52C0BF0E0D64E55A4440A70300E0647B52C0BF0E0D64E55A4440A70300E0647B52C0F860AE1175594440C7F8FFD37E7C52C0F860AE1175594440, us.census.tiger.census_tract, , ) - obs_getpointsbygeometry ------------------------------------------------------------------- - (0101000020E610000037CB75821A7C52C0BA8784EFFD594440,36047048900) -(1 row) - -SELECT obs_getpointsbypointandradius(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326), 500::numeric, 'us.census.tiger.census_tract'::text); -NOTICE: cdb_dataservices_client._obs_getpointsbypointandradius(7): [contrib_regression] REMOTE NOTICE: cdb_dataservices_server.obs_getpointsbypointandradius invoked with params (test_user, , 0101000020E6100000548B8862F27B52C0DDD1FF722D5A4440, 500, us.census.tiger.census_tract, , ) - obs_getpointsbypointandradius ------------------------------------------------------------------- - (0101000020E610000037CB75821A7C52C0BA8784EFFD594440,36047048900) -(1 row) - -SELECT obs_getmeasure(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326), 'us.census.acs.B01001001'::text); -NOTICE: cdb_dataservices_client._obs_getmeasure(7): [contrib_regression] REMOTE NOTICE: cdb_dataservices_server.obs_getmeasure invoked with params (test_user, , 0101000020E6100000548B8862F27B52C0DDD1FF722D5A4440, us.census.acs.B01001001, , , ) - obs_getmeasure ------------------------ - 10923.093200390833950 -(1 row) - -SELECT obs_getmeasurebyid('36047'::text, 'us.census.acs.B01001001'::text, 'us.census.tiger.county'::text); -NOTICE: cdb_dataservices_client._obs_getmeasurebyid(6): [contrib_regression] REMOTE NOTICE: cdb_dataservices_server.obs_getmeasurebyid invoked with params (test_user, , 36047, us.census.acs.B01001001, us.census.tiger.county, ) - obs_getmeasurebyid ------------------------ - 10923.093200390833950 -(1 row) - -SELECT obs_getcategory(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326), 'us.census.spielman_singleton_segments.X10'::text); -NOTICE: cdb_dataservices_client._obs_getcategory(6): [contrib_regression] REMOTE NOTICE: cdb_dataservices_server.obs_getcategory invoked with params (test_user, , 0101000020E6100000548B8862F27B52C0DDD1FF722D5A4440, us.census.spielman_singleton_segments.X10, , ) - obs_getcategory ------------------------------ - Wealthy, urban without Kids -(1 row) - -SELECT obs_getuscensusmeasure(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326), 'male population'::text); -NOTICE: cdb_dataservices_client._obs_getuscensusmeasure(7): [contrib_regression] REMOTE NOTICE: cdb_dataservices_server.obs_getuscensusmeasure invoked with params (test_user, , 0101000020E6100000548B8862F27B52C0DDD1FF722D5A4440, male population, , , ) - obs_getuscensusmeasure ------------------------- - 6789.5647735060920500 -(1 row) - -SELECT obs_getuscensuscategory(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326), 'Spielman-Singleton Segments: 10 Clusters'::text); -NOTICE: cdb_dataservices_client._obs_getuscensuscategory(6): [contrib_regression] REMOTE NOTICE: cdb_dataservices_server.obs_getuscensuscategory invoked with params (test_user, , 0101000020E6100000548B8862F27B52C0DDD1FF722D5A4440, Spielman-Singleton Segments: 10 Clusters, , ) - obs_getuscensuscategory ------------------------------ - Wealthy, urban without Kids -(1 row) - -SELECT obs_getpopulation(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326)); -NOTICE: cdb_dataservices_client._obs_getpopulation(6): [contrib_regression] REMOTE NOTICE: cdb_dataservices_server.obs_getpopulation invoked with params (test_user, , 0101000020E6100000548B8862F27B52C0DDD1FF722D5A4440, , , ) - obs_getpopulation ------------------------ - 10923.093200390833950 -(1 row) - -SELECT obs_search('total_pop'::text); -NOTICE: cdb_dataservices_client._obs_search(4): [contrib_regression] REMOTE NOTICE: cdb_dataservices_server.obs_search invoked with params (test_user, , total_pop, ) - obs_search ----------------------------------------------------------------------------------------------------------- - (es.ine.total_pop,"The total number of all people living in a geographic area.","Total Population",sum,) -(1 row) - -SELECT obs_getavailableboundaries(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326)); -NOTICE: cdb_dataservices_client._obs_getavailableboundaries(4): [contrib_regression] REMOTE NOTICE: cdb_dataservices_server.obs_getavailableboundaries invoked with params (test_user, , 0101000020E6100000548B8862F27B52C0DDD1FF722D5A4440, ) - obs_getavailableboundaries ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- - (us.census.tiger.place,"Incorporated places are those reported to the Census Bureau as legally in existence as of January 1, 2010, as reported in the latest Boundary and Annexation Survey (BAS), under the laws of their respective states.",2014,obs_7c9493c41fa8f4bd178ab993ea3d5891c1977667) -(1 row) - -SELECT obs_getmeta(ST_SetSRID(ST_Point(-73.9, 40.7), 4326), '[{"numer_id": "us.census.acs.B01003001"}]', 1, 1, 1000); -NOTICE: cdb_dataservices_client._obs_getmeta(7): [contrib_regression] REMOTE NOTICE: cdb_dataservices_server.obs_getmeta invoked with params (test_user, , 0101000020E61000009A999999997952C09A99999999594440, [{"numer_id": "us.census.acs.B01003001"}], 1, 1, 1000) - obs_getmeta ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- - [{"id" : 1, "numer_id" : "us.census.acs.B01003001", "timespan_rank" : 1, "score_rank" : 1, "score" : 19.9580760018781868330120152747832081562684, "numer_aggregate" : "sum", "numer_colname" : "total_pop", "numer_geomref_colname" : "geoid", "numer_tablename" : "obs_209d3476ef8eaaa18e597cabcf1bdb627f37aa5e", "numer_type" : "Numeric", "denom_aggregate" : null, "denom_colname" : null, "denom_geomref_colname" : null, "denom_tablename" : null, "denom_type" : null, "geom_colname" : "the_geom", "geom_geomref_colname" : "geoid", "geom_tablename" : "obs_78fb6c1d6ff6505225175922c2c389ce48d7632c", "geom_type" : "Geometry", "geom_timespan" : "2015", "numer_timespan" : "2011 - 2015", "numer_name" : "Total Population", "denom_name" : null, "geom_name" : "US Census Block Groups", "normalization" : null, "denom_id" : null, "geom_id" : "us.census.tiger.block_group"}] -(1 row) - -SELECT obs_getdata(ARRAY['36047'], obs_getmeta(st_setsrid(st_point(-73.9, 40.7), 4326), '[{"numer_id": "us.census.acs.B01003001", "geom_id": "us.census.tiger.county"}]', 1, 1, 1000)); -NOTICE: cdb_dataservices_client._obs_getmeta(7): [contrib_regression] REMOTE NOTICE: cdb_dataservices_server.obs_getmeta invoked with params (test_user, , 0101000020E61000009A999999997952C09A99999999594440, [{"numer_id": "us.census.acs.B01003001", "geom_id": "us.census.tiger.county"}], 1, 1, 1000) -NOTICE: cdb_dataservices_client._obs_getdata(4): [contrib_regression] REMOTE NOTICE: cdb_dataservices_server.obs_getdata invoked with params (test_user, , {36047}, [{"id" : 1, "numer_id" : "us.census.acs.B01003001", "timespan_rank" : 1, "score_rank" : 1, "score" : 19.9580760018781868330120152747832081562684, "numer_aggregate" : "sum", "numer_colname" : "total_pop", "numer_geomref_colname" : "geoid", "numer_tablename" : "obs_209d3476ef8eaaa18e597cabcf1bdb627f37aa5e", "numer_type" : "Numeric", "denom_aggregate" : null, "denom_colname" : null, "denom_geomref_colname" : null, "denom_tablename" : null, "denom_type" : null, "geom_colname" : "the_geom", "geom_geomref_colname" : "geoid", "geom_tablename" : "obs_78fb6c1d6ff6505225175922c2c389ce48d7632c", "geom_type" : "Geometry", "geom_timespan" : "2015", "numer_timespan" : "2011 - 2015", "numer_name" : "Total Population", "denom_name" : null, "geom_name" : "US Census Block Groups", "normalization" : null, "denom_id" : null, "geom_id" : "us.census.tiger.block_group"}]) - obs_getdata --------------------------------------------- - (36047,"[{""value"" : 10349.1547875017}]") -(1 row) - -SELECT obs_getdata(ARRAY[(ST_SetSRID(ST_Point(-73.9, 40.7), 4326), 1)::geomval], obs_getmeta(st_setsrid(st_point(-73.9, 40.7), 4326), '[{"numer_id": "us.census.acs.B01003001"}]')); -NOTICE: cdb_dataservices_client._obs_getmeta(7): [contrib_regression] REMOTE NOTICE: cdb_dataservices_server.obs_getmeta invoked with params (test_user, , 0101000020E61000009A999999997952C09A99999999594440, [{"numer_id": "us.census.acs.B01003001"}], , , ) -NOTICE: cdb_dataservices_client._obs_getdata(5): [contrib_regression] REMOTE NOTICE: cdb_dataservices_server.obs_getdata invoked with params (test_user, , {"(0101000020E61000009A999999997952C09A99999999594440,1)"}, [{"id" : 1, "numer_id" : "us.census.acs.B01003001", "timespan_rank" : 1, "score_rank" : 1, "score" : 19.9580760018781868330120152747832081562684, "numer_aggregate" : "sum", "numer_colname" : "total_pop", "numer_geomref_colname" : "geoid", "numer_tablename" : "obs_209d3476ef8eaaa18e597cabcf1bdb627f37aa5e", "numer_type" : "Numeric", "denom_aggregate" : null, "denom_colname" : null, "denom_geomref_colname" : null, "denom_tablename" : null, "denom_type" : null, "geom_colname" : "the_geom", "geom_geomref_colname" : "geoid", "geom_tablename" : "obs_78fb6c1d6ff6505225175922c2c389ce48d7632c", "geom_type" : "Geometry", "geom_timespan" : "2015", "numer_timespan" : "2011 - 2015", "numer_name" : "Total Population", "denom_name" : null, "geom_name" : "US Census Block Groups", "normalization" : null, "denom_id" : null, "geom_id" : "us.census.tiger.block_group"}], t) - obs_getdata --------------------------------------------- - (36047,"[{""value"" : 10349.1547875017}]") -(1 row) - -SELECT obs_metadatavalidation(ST_SetSRID(ST_Point(-73.9, 40.7), 4326), 'ST_Polygon', '[{"numer_id": "us.census.acs.B01003001"}]', 1000); -NOTICE: cdb_dataservices_client._obs_metadatavalidation(6): [contrib_regression] REMOTE NOTICE: cdb_dataservices_server.obs_metadatavalidation invoked with params (test_user, , 0101000020E61000009A999999997952C09A99999999594440, ST_Polygon, [{"numer_id": "us.census.acs.B01003001"}], 1000) - obs_metadatavalidation ------------------------- - (t,{}) -(1 row) - -SELECT CDB_Conf_RemoveConf('api_keys_postgres'); - cdb_conf_removeconf ---------------------- - -(1 row) - diff --git a/client/test/expected/95_data_observatory_tables_test.out b/client/test/expected/95_data_observatory_tables_test.out deleted file mode 100644 index 594305e..0000000 --- a/client/test/expected/95_data_observatory_tables_test.out +++ /dev/null @@ -1,77 +0,0 @@ --- Add to the search path the schema -SET search_path TO public,cartodb,cdb_dataservices_client; -CREATE TABLE my_table(cartodb_id int); -INSERT INTO my_table (cartodb_id) VALUES (1); --- Mock the server functions -CREATE OR REPLACE FUNCTION cdb_dataservices_server._DST_ConnectUserTable(username text, orgname text, user_db_role text, input_schema text, dbname text, table_name text) -RETURNS cdb_dataservices_client.ds_fdw_metadata AS $$ -BEGIN - RETURN ('dummy_schema'::text, 'dummy_table'::text, 'dummy_server'::text); -END; -$$ LANGUAGE 'plpgsql'; -CREATE OR REPLACE FUNCTION cdb_dataservices_server._DST_GetReturnMetadata(username text, orgname text, function_name text, params json) -RETURNS cdb_dataservices_client.ds_return_metadata AS $$ -BEGIN - RETURN (Array['total_pop'], Array['double precision']); -END; -$$ LANGUAGE 'plpgsql'; -CREATE OR REPLACE FUNCTION cdb_dataservices_server._DST_FetchJoinFdwTableData(username text, orgname text, table_schema text, table_name text, function_name text, params json) -RETURNS RECORD AS $$ -BEGIN - RETURN (23.4::double precision, 1::int); -END; -$$ LANGUAGE 'plpgsql'; -CREATE OR REPLACE FUNCTION cdb_dataservices_server._DST_DisconnectUserTable(username text, orgname text, table_schema text, table_name text, servername text) -RETURNS boolean AS $$ -BEGIN - RETURN true; -END; -$$ LANGUAGE 'plpgsql'; -SELECT CDB_Conf_SetConf('api_keys_postgres', '{"username": "test_user", "permissions": [""]}'); - cdb_conf_setconf ------------------- - -(1 row) - --- Create a sample user table -CREATE TABLE user_table (cartodb_id int, the_geom geometry); -INSERT INTO user_table(cartodb_id, the_geom) VALUES (1, '0101000020E6100000F74FC902E07D52C05FE24CC7654B4440'); -INSERT INTO user_table(cartodb_id, the_geom) VALUES (2, '0101000020E6100000F74FC902E07D52C05FE24CC7654B4440'); -INSERT INTO user_table(cartodb_id, the_geom) VALUES (3, '0101000020E6100000F74FC902E07D52C05FE24CC7654B4440'); --- Prepare a table with the total_pop column -SELECT cdb_dataservices_client._DST_PrepareTableOBS_GetMeasure('my_table_dst', '{"dummy":"dummy"}'::json); - _dst_preparetableobs_getmeasure ---------------------------------- - t -(1 row) - --- The table should now exist and be empty -SELECT * FROM my_table_dst; - cartodb_id | the_geom | total_pop -------------+----------+----------- -(0 rows) - --- Populate the table with measurement data -SELECT cdb_dataservices_client._DST_PopulateTableOBS_GetMeasure('user_table', 'my_table_dst', '{"dummy":"dummy"}'::json); - _dst_populatetableobs_getmeasure ----------------------------------- - t -(1 row) - --- The table should now show the results -SELECT * FROM my_table_dst; - cartodb_id | the_geom | total_pop -------------+----------------------------------------------------+----------- - 1 | 0101000020E6100000F74FC902E07D52C05FE24CC7654B4440 | 23.4 - 2 | 0101000020E6100000F74FC902E07D52C05FE24CC7654B4440 | - 3 | 0101000020E6100000F74FC902E07D52C05FE24CC7654B4440 | -(3 rows) - --- Clean tables -DROP TABLE my_table_dst; -SELECT CDB_Conf_RemoveConf('api_keys_postgres'); - cdb_conf_removeconf ---------------------- - -(1 row) - diff --git a/client/test/sql/90_data_observatory_test.sql b/client/test/sql/90_data_observatory_test.sql deleted file mode 100644 index c46c2bd..0000000 --- a/client/test/sql/90_data_observatory_test.sql +++ /dev/null @@ -1,309 +0,0 @@ -\set VERBOSITY terse --- Add to the search path the schema -SET search_path TO public,cartodb,cdb_dataservices_client; - --- Mock the server functions - -CREATE OR REPLACE FUNCTION cdb_dataservices_server.obs_get_demographic_snapshot (username text, orgname text, geom geometry(Geometry, 4326), time_span text DEFAULT '2009 - 2013', geometry_level text DEFAULT '"us.census.tiger".block_group') -RETURNS json AS $$ -DECLARE - ret json; -BEGIN - RAISE NOTICE 'cdb_dataservices_server.obs_get_demographic_snapshot invoked with params (%, %, %, %, %)', username, orgname, geom, time_span, geometry_level; - SELECT '{"total_pop":9516.27915900609,"male_pop":6152.51885204623,"female_pop":3363.76030695986,"median_age":28.8,"white_pop":5301.51624447348,"black_pop":149.500458087105,"asian_pop":230.000704749392,"hispanic_pop":3835.26175169611,"amerindian_pop":0,"other_race_pop":0,"two_or_more_races_pop":0,"not_hispanic_pop":5681.01740730998,"households":3323.51018362871,"pop_25_years_over":7107.02177675621,"high_school_diploma":1040.753188991,"less_one_year_college":69.0002114248176,"one_year_more_college":793.502431385402,"associates_degree":327.751004267883,"bachelors_degree":2742.7584041365,"masters_degree":931.502854235037,"median_income":66304,"gini_index":0.3494,"income_per_capita":28291,"housing_units":3662.76122313407,"vacant_housing_units":339.251039505353,"vacant_housing_units_for_rent":120.750369993431,"vacant_housing_units_for_sale":0,"median_rent":1764,"percent_income_spent_on_rent":35.3,"owner_occupied_housing_units":339.251039505353,"million_dollar_housing_units":0,"mortgaged_housing_units":224.250687130657,"commuters_16_over":6549.27006773893,"commute_less_10_mins":327.751004267883,"commute_10_14_mins":28.750088093674,"commute_15_19_mins":201.250616655718,"commute_20_24_mins":621.001902823358,"commute_25_29_mins":373.751145217762,"commute_30_34_mins":1851.5056732326,"commute_35_44_mins":1414.50433420876,"commute_45_59_mins":1115.50341803455,"commute_60_more_mins":615.251885204623,"aggregate_travel_time_to_work":null,"income_less_10000":57.500176187348,"income_10000_14999":0,"income_15000_19999":212.750651893187,"income_20000_24999":408.251250930171,"income_25000_29999":0,"income_30000_34999":155.25047570584,"income_35000_39999":109.250334755961,"income_40000_44999":92.0002818997568,"income_45000_49999":63.2501938060828,"income_50000_59999":184.000563799514,"income_60000_74999":621.001902823358,"income_75000_99999":552.001691398541,"income_100000_124999":327.751004267883,"income_125000_149999":333.501021886618,"income_150000_199999":126.500387612166,"income_200000_or_more":null,"land_area":null}'::json INTO ret; - RETURN ret; -END; -$$ LANGUAGE 'plpgsql'; - -CREATE OR REPLACE FUNCTION cdb_dataservices_server.obs_get_segment_snapshot (username text, orgname text, geom geometry(Geometry, 4326), geometry_level text DEFAULT '"us.census.tiger".census_tract') -RETURNS json AS $$ -DECLARE - ret json; -BEGIN - RAISE NOTICE 'cdb_dataservices_server.obs_get_segment_snapshot invoked with params (%, %, %, %)', username, orgname, geom, geometry_level; - SELECT '{"total_pop":9516.27915900609,"male_pop":6152.51885204623,"female_pop":3363.76030695986,"median_age":28.8,"white_pop":5301.51624447348,"black_pop":149.500458087105,"asian_pop":230.000704749392,"hispanic_pop":3835.26175169611,"amerindian_pop":0,"other_race_pop":0,"two_or_more_races_pop":0,"not_hispanic_pop":5681.01740730998,"households":3323.51018362871,"pop_25_years_over":7107.02177675621,"high_school_diploma":1040.753188991,"less_one_year_college":69.0002114248176,"one_year_more_college":793.502431385402,"associates_degree":327.751004267883,"bachelors_degree":2742.7584041365,"masters_degree":931.502854235037,"median_income":66304,"gini_index":0.3494,"income_per_capita":28291,"housing_units":3662.76122313407,"vacant_housing_units":339.251039505353,"vacant_housing_units_for_rent":120.750369993431,"vacant_housing_units_for_sale":0,"median_rent":1764,"percent_income_spent_on_rent":35.3,"owner_occupied_housing_units":339.251039505353,"million_dollar_housing_units":0,"mortgaged_housing_units":224.250687130657,"commuters_16_over":6549.27006773893,"commute_less_10_mins":327.751004267883,"commute_10_14_mins":28.750088093674,"commute_15_19_mins":201.250616655718,"commute_20_24_mins":621.001902823358,"commute_25_29_mins":373.751145217762,"commute_30_34_mins":1851.5056732326,"commute_35_44_mins":1414.50433420876,"commute_45_59_mins":1115.50341803455,"commute_60_more_mins":615.251885204623,"aggregate_travel_time_to_work":null,"income_less_10000":57.500176187348,"income_10000_14999":0,"income_15000_19999":212.750651893187,"income_20000_24999":408.251250930171,"income_25000_29999":0,"income_30000_34999":155.25047570584,"income_35000_39999":109.250334755961,"income_40000_44999":92.0002818997568,"income_45000_49999":63.2501938060828,"income_50000_59999":184.000563799514,"income_60000_74999":621.001902823358,"income_75000_99999":552.001691398541,"income_100000_124999":327.751004267883,"income_125000_149999":333.501021886618,"income_150000_199999":126.500387612166,"income_200000_or_more":null,"land_area":null}'::json INTO ret; - RETURN ret; -END; -$$ LANGUAGE 'plpgsql'; - -CREATE OR REPLACE FUNCTION cdb_dataservices_server.obs_getdemographicsnapshot (username text, orgname text, geom geometry(Geometry, 4326), time_span text DEFAULT '2009 - 2013', geometry_level text DEFAULT '"us.census.tiger".block_group') -RETURNS json AS $$ -DECLARE - ret json; -BEGIN - RAISE NOTICE 'cdb_dataservices_server.obs_getdemographicsnapshot invoked with params (%, %, %, %, %)', username, orgname, geom, time_span, geometry_level; - SELECT '{"total_pop":9516.27915900609,"male_pop":6152.51885204623,"female_pop":3363.76030695986,"median_age":28.8,"white_pop":5301.51624447348,"black_pop":149.500458087105,"asian_pop":230.000704749392,"hispanic_pop":3835.26175169611,"amerindian_pop":0,"other_race_pop":0,"two_or_more_races_pop":0,"not_hispanic_pop":5681.01740730998,"households":3323.51018362871,"pop_25_years_over":7107.02177675621,"high_school_diploma":1040.753188991,"less_one_year_college":69.0002114248176,"one_year_more_college":793.502431385402,"associates_degree":327.751004267883,"bachelors_degree":2742.7584041365,"masters_degree":931.502854235037,"median_income":66304,"gini_index":0.3494,"income_per_capita":28291,"housing_units":3662.76122313407,"vacant_housing_units":339.251039505353,"vacant_housing_units_for_rent":120.750369993431,"vacant_housing_units_for_sale":0,"median_rent":1764,"percent_income_spent_on_rent":35.3,"owner_occupied_housing_units":339.251039505353,"million_dollar_housing_units":0,"mortgaged_housing_units":224.250687130657,"commuters_16_over":6549.27006773893,"commute_less_10_mins":327.751004267883,"commute_10_14_mins":28.750088093674,"commute_15_19_mins":201.250616655718,"commute_20_24_mins":621.001902823358,"commute_25_29_mins":373.751145217762,"commute_30_34_mins":1851.5056732326,"commute_35_44_mins":1414.50433420876,"commute_45_59_mins":1115.50341803455,"commute_60_more_mins":615.251885204623,"aggregate_travel_time_to_work":null,"income_less_10000":57.500176187348,"income_10000_14999":0,"income_15000_19999":212.750651893187,"income_20000_24999":408.251250930171,"income_25000_29999":0,"income_30000_34999":155.25047570584,"income_35000_39999":109.250334755961,"income_40000_44999":92.0002818997568,"income_45000_49999":63.2501938060828,"income_50000_59999":184.000563799514,"income_60000_74999":621.001902823358,"income_75000_99999":552.001691398541,"income_100000_124999":327.751004267883,"income_125000_149999":333.501021886618,"income_150000_199999":126.500387612166,"income_200000_or_more":null,"land_area":null}'::json INTO ret; - RETURN ret; -END; -$$ LANGUAGE 'plpgsql'; - -CREATE OR REPLACE FUNCTION cdb_dataservices_server.obs_getsegmentsnapshot (username text, orgname text, geom geometry(Geometry, 4326), geometry_level text DEFAULT '"us.census.tiger".census_tract') -RETURNS json AS $$ -DECLARE - ret json; -BEGIN - RAISE NOTICE 'cdb_dataservices_server.obs_getsegmentsnapshot invoked with params (%, %, %, %)', username, orgname, geom, geometry_level; - SELECT '{"total_pop":9516.27915900609,"male_pop":6152.51885204623,"female_pop":3363.76030695986,"median_age":28.8,"white_pop":5301.51624447348,"black_pop":149.500458087105,"asian_pop":230.000704749392,"hispanic_pop":3835.26175169611,"amerindian_pop":0,"other_race_pop":0,"two_or_more_races_pop":0,"not_hispanic_pop":5681.01740730998,"households":3323.51018362871,"pop_25_years_over":7107.02177675621,"high_school_diploma":1040.753188991,"less_one_year_college":69.0002114248176,"one_year_more_college":793.502431385402,"associates_degree":327.751004267883,"bachelors_degree":2742.7584041365,"masters_degree":931.502854235037,"median_income":66304,"gini_index":0.3494,"income_per_capita":28291,"housing_units":3662.76122313407,"vacant_housing_units":339.251039505353,"vacant_housing_units_for_rent":120.750369993431,"vacant_housing_units_for_sale":0,"median_rent":1764,"percent_income_spent_on_rent":35.3,"owner_occupied_housing_units":339.251039505353,"million_dollar_housing_units":0,"mortgaged_housing_units":224.250687130657,"commuters_16_over":6549.27006773893,"commute_less_10_mins":327.751004267883,"commute_10_14_mins":28.750088093674,"commute_15_19_mins":201.250616655718,"commute_20_24_mins":621.001902823358,"commute_25_29_mins":373.751145217762,"commute_30_34_mins":1851.5056732326,"commute_35_44_mins":1414.50433420876,"commute_45_59_mins":1115.50341803455,"commute_60_more_mins":615.251885204623,"aggregate_travel_time_to_work":null,"income_less_10000":57.500176187348,"income_10000_14999":0,"income_15000_19999":212.750651893187,"income_20000_24999":408.251250930171,"income_25000_29999":0,"income_30000_34999":155.25047570584,"income_35000_39999":109.250334755961,"income_40000_44999":92.0002818997568,"income_45000_49999":63.2501938060828,"income_50000_59999":184.000563799514,"income_60000_74999":621.001902823358,"income_75000_99999":552.001691398541,"income_100000_124999":327.751004267883,"income_125000_149999":333.501021886618,"income_150000_199999":126.500387612166,"income_200000_or_more":null,"land_area":null}'::json INTO ret; - RETURN ret; -END; -$$ LANGUAGE 'plpgsql'; - -CREATE OR REPLACE FUNCTION cdb_dataservices_server.obs_getboundary (username text, orgname text, geom geometry(Geometry, 4326), boundary_id text, time_span text DEFAULT NULL) -RETURNS Geometry(Geometry, 4326) AS $$ -DECLARE - ret Geometry; -BEGIN - RAISE NOTICE 'cdb_dataservices_server.obs_getboundary invoked with params (%, %, %, %, %)', username, orgname, geom, boundary_id, time_span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geometry INTO ret; - RETURN ret; -END; -$$ LANGUAGE 'plpgsql'; - -CREATE OR REPLACE FUNCTION cdb_dataservices_server.obs_getboundaryid (username text, orgname text, geom geometry(Geometry, 4326), boundary_id text, time_span text DEFAULT NULL) -RETURNS text AS $$ -DECLARE - ret text; -BEGIN - RAISE NOTICE 'cdb_dataservices_server.obs_getboundaryid invoked with params (%, %, %, %, %)', username, orgname, geom, boundary_id, time_span; - SELECT '36047048500'::text INTO ret; - RETURN ret; -END; -$$ LANGUAGE 'plpgsql'; - -CREATE OR REPLACE FUNCTION cdb_dataservices_server.obs_getboundarybyid (username text, orgname text, geometry_id text, boundary_id text, time_span text DEFAULT NULL) -RETURNS Geometry(Geometry, 4326) AS $$ -DECLARE - ret Geometry; -BEGIN - RAISE NOTICE 'cdb_dataservices_server.obs_getboundarybyid invoked with params (%, %, %, %, %)', username, orgname, geometry_id, boundary_id, time_span; - SELECT '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'::geometry INTO ret; - RETURN ret; -END; -$$ LANGUAGE 'plpgsql'; - -CREATE OR REPLACE FUNCTION cdb_dataservices_server.obs_getboundariesbypointandradius (username text, orgname text, geom geometry(Geometry, 4326), radius numeric, boundary_id text, time_span text DEFAULT NULL, overlap_type text DEFAULT NULL) -RETURNS TABLE(the_geom geometry, geom_refs text) AS $$ -BEGIN - RAISE NOTICE 'cdb_dataservices_server.obs_getboundariesbypointandradius invoked with params (%, %, %, %, %, %, %)', username, orgname, geom, radius, boundary_id, time_span, overlap_type; - RETURN QUERY SELECT '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'::geometry as the_geom, '36047048900'::text as geom_refs; -END; -$$ LANGUAGE 'plpgsql'; - -CREATE OR REPLACE FUNCTION cdb_dataservices_server.obs_getpointsbygeometry (username text, orgname text, geom geometry(Geometry, 4326), boundary_id text, time_span text DEFAULT NULL, overlap_type text DEFAULT NULL) -RETURNS TABLE(the_geom geometry, geom_refs text) AS $$ -BEGIN - RAISE NOTICE 'cdb_dataservices_server.obs_getpointsbygeometry invoked with params (%, %, %, %, %, %)', username, orgname, geom, boundary_id, time_span, overlap_type; - RETURN QUERY SELECT '0101000020E610000037CB75821A7C52C0BA8784EFFD594440'::geometry as the_geom, '36047048900'::text as geom_refs; -END; -$$ LANGUAGE 'plpgsql'; - -CREATE OR REPLACE FUNCTION cdb_dataservices_server.obs_getpointsbypointandradius (username text, orgname text, geom geometry(Geometry, 4326), radius numeric, boundary_id text, time_span text DEFAULT NULL, overlap_type text DEFAULT NULL) -RETURNS TABLE(the_geom geometry, geom_refs text) AS $$ -BEGIN - RAISE NOTICE 'cdb_dataservices_server.obs_getpointsbypointandradius invoked with params (%, %, %, %, %, %, %)', username, orgname, geom, radius, boundary_id, time_span, overlap_type; - RETURN QUERY SELECT '0101000020E610000037CB75821A7C52C0BA8784EFFD594440'::geometry as the_geom, '36047048900'::text as geom_refs; -END; -$$ LANGUAGE 'plpgsql'; - -CREATE OR REPLACE FUNCTION cdb_dataservices_server.obs_getmeasure (username text, orgname text, geom Geometry, measure_id text, normalize text DEFAULT NULL, boundary_id text DEFAULT NULL, time_span text DEFAULT NULL) -RETURNS numeric AS $$ -DECLARE - ret numeric; -BEGIN - RAISE NOTICE 'cdb_dataservices_server.obs_getmeasure invoked with params (%, %, %, %, %, %, %)', username, orgname, geom, measure_id, normalize, boundary_id, time_span; - SELECT 10923.093200390833950::numeric INTO ret; - RETURN ret; -END; -$$ LANGUAGE 'plpgsql'; - -CREATE OR REPLACE FUNCTION cdb_dataservices_server.obs_getmeasurebyid (username text, orgname text, geom_ref text, measure_id text, boundary_id text, time_span text DEFAULT NULL) -RETURNS numeric AS $$ -DECLARE - ret numeric; -BEGIN - RAISE NOTICE 'cdb_dataservices_server.obs_getmeasurebyid invoked with params (%, %, %, %, %, %)', username, orgname, geom_ref, measure_id, boundary_id, time_span; - SELECT 10923.093200390833950::numeric INTO ret; - RETURN ret; -END; -$$ LANGUAGE 'plpgsql'; - -CREATE OR REPLACE FUNCTION cdb_dataservices_server.obs_getcategory (username text, orgname text, geom Geometry, category_id text, boundary_id text DEFAULT NULL, time_span text DEFAULT NULL) -RETURNS text AS $$ -DECLARE - ret text; -BEGIN - RAISE NOTICE 'cdb_dataservices_server.obs_getcategory invoked with params (%, %, %, %, %, %)', username, orgname, geom, category_id, boundary_id, time_span; - SELECT 'Wealthy, urban without Kids'::text INTO ret; - RETURN ret; -END; -$$ LANGUAGE 'plpgsql'; - -CREATE OR REPLACE FUNCTION cdb_dataservices_server.obs_getuscensusmeasure (username text, orgname text, geom Geometry, name text, normalize text DEFAULT NULL, boundary_id text DEFAULT NULL, time_span text DEFAULT NULL) -RETURNS numeric AS $$ -DECLARE - ret numeric; -BEGIN - RAISE NOTICE 'cdb_dataservices_server.obs_getuscensusmeasure invoked with params (%, %, %, %, %, %, %)', username, orgname, geom, name, normalize, boundary_id, time_span; - SELECT 6789.5647735060920500::numeric INTO ret; - RETURN ret; -END; -$$ LANGUAGE 'plpgsql'; - -CREATE OR REPLACE FUNCTION cdb_dataservices_server.obs_getuscensuscategory (username text, orgname text, geom Geometry, name text, boundary_id text DEFAULT NULL, time_span text DEFAULT NULL) -RETURNS text AS $$ -DECLARE - ret text; -BEGIN - RAISE NOTICE 'cdb_dataservices_server.obs_getuscensuscategory invoked with params (%, %, %, %, %, %)', username, orgname, geom, name, boundary_id, time_span; - SELECT 'Wealthy, urban without Kids'::text INTO ret; - RETURN ret; -END; -$$ LANGUAGE 'plpgsql'; - -CREATE OR REPLACE FUNCTION cdb_dataservices_server.obs_getpopulation (username text, orgname text, geom Geometry, normalize text DEFAULT NULL, boundary_id text DEFAULT NULL, time_span text DEFAULT NULL) -RETURNS numeric AS $$ -DECLARE - ret numeric; -BEGIN - RAISE NOTICE 'cdb_dataservices_server.obs_getpopulation invoked with params (%, %, %, %, %, %)', username, orgname, geom, normalize, boundary_id, time_span; - SELECT 10923.093200390833950::numeric INTO ret; - RETURN ret; -END; -$$ LANGUAGE 'plpgsql'; - -CREATE OR REPLACE FUNCTION cdb_dataservices_server.obs_search (username text, orgname text, search_term text, relevant_boundary text DEFAULT NULL) -RETURNS TABLE(id text, description text, name text, aggregate text, source text) AS $$ -BEGIN - RAISE NOTICE 'cdb_dataservices_server.obs_search invoked with params (%, %, %, %)', username, orgname, search_term, relevant_boundary; - RETURN QUERY SELECT 'es.ine.total_pop'::text as id, 'The total number of all people living in a geographic area.'::text as description, 'Total Population'::text as name, 'sum'::text as aggregate, NULL::text as source; -END; -$$ LANGUAGE 'plpgsql'; - -CREATE OR REPLACE FUNCTION cdb_dataservices_server.obs_getavailableboundaries (username text, orgname text, geom geometry(Geometry, 4326), timespan text DEFAULT NULL) -RETURNS TABLE(boundary_id text, description text, time_span text, tablename text) AS $$ -BEGIN - RAISE NOTICE 'cdb_dataservices_server.obs_getavailableboundaries invoked with params (%, %, %, %)', username, orgname, geom, timespan; - RETURN QUERY SELECT 'us.census.tiger.place'::text as boundary_id, 'Incorporated places are those reported to the Census Bureau as legally in existence as of January 1, 2010, as reported in the latest Boundary and Annexation Survey (BAS), under the laws of their respective states.'::text as description, '2014'::text as timespan, 'obs_7c9493c41fa8f4bd178ab993ea3d5891c1977667'::text as tablename; -END; -$$ LANGUAGE 'plpgsql'; - -CREATE OR REPLACE FUNCTION cdb_dataservices_server.obs_getboundariesbygeometry (username text, orgname text, geom geometry(Geometry, 4326), boundary_id text, time_span text DEFAULT NULL, overlap_type text DEFAULT NULL) -RETURNS TABLE(the_geom geometry, geom_refs text) AS $$ -BEGIN - RAISE NOTICE 'cdb_dataservices_server.obs_getboundariesbygeometry invoked with params (%, %, %, %, %, %)', username, orgname, geom, boundary_id, time_span, overlap_type; - RETURN QUERY SELECT '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'::geometry as the_geom, '36047049300'::text as geom_refs; -END; -$$ LANGUAGE 'plpgsql'; - -CREATE OR REPLACE FUNCTION cdb_dataservices_server.obs_getmeta(username text, orgname text, geom geometry(Geometry, 4326), params JSON, max_timespan_rank INTEGER DEFAULT NULL, max_score_rank INTEGER DEFAULT NULL, target_geoms INTEGER DEFAULT NULL) -RETURNS JSON AS $$ -BEGIN - RAISE NOTICE 'cdb_dataservices_server.obs_getmeta invoked with params (%, %, %, %, %, %, %)', username, orgname, geom, params, max_timespan_rank, max_score_rank, target_geoms; - RETURN '[{"id" : 1, "numer_id" : "us.census.acs.B01003001", "timespan_rank" : 1, "score_rank" : 1, "score" : 19.9580760018781868330120152747832081562684, "numer_aggregate" : "sum", "numer_colname" : "total_pop", "numer_geomref_colname" : "geoid", "numer_tablename" : "obs_209d3476ef8eaaa18e597cabcf1bdb627f37aa5e", "numer_type" : "Numeric", "denom_aggregate" : null, "denom_colname" : null, "denom_geomref_colname" : null, "denom_tablename" : null, "denom_type" : null, "geom_colname" : "the_geom", "geom_geomref_colname" : "geoid", "geom_tablename" : "obs_78fb6c1d6ff6505225175922c2c389ce48d7632c", "geom_type" : "Geometry", "geom_timespan" : "2015", "numer_timespan" : "2011 - 2015", "numer_name" : "Total Population", "denom_name" : null, "geom_name" : "US Census Block Groups", "normalization" : null, "denom_id" : null, "geom_id" : "us.census.tiger.block_group"}]'::JSON; -END; -$$ LANGUAGE 'plpgsql'; - -CREATE OR REPLACE FUNCTION cdb_dataservices_server.obs_getdata(username text, orgname text, geomrefs text[], params json) -RETURNS TABLE (id TEXT, data JSON) AS $$ -BEGIN - RAISE NOTICE 'cdb_dataservices_server.obs_getdata invoked with params (%, %, %, %)', username, orgname, geomrefs, params; - RETURN QUERY SELECT '36047'::TEXT AS id, '[{"value" : 10349.1547875017}]'::JSON AS data; -END; -$$ LANGUAGE 'plpgsql'; - -CREATE OR REPLACE FUNCTION cdb_dataservices_server.obs_getdata(username text, orgname text, geomvals geomval[], params json, merge boolean default true) -RETURNS TABLE (id TEXT, data JSON) AS $$ -BEGIN - RAISE NOTICE 'cdb_dataservices_server.obs_getdata invoked with params (%, %, %, %, %)', username, orgname, geomvals, params, merge; - RETURN QUERY SELECT '36047'::TEXT AS id, '[{"value" : 10349.1547875017}]'::JSON AS data; -END; -$$ LANGUAGE 'plpgsql'; - -CREATE OR REPLACE FUNCTION cdb_dataservices_server.obs_metadatavalidation(username text, orgname text, geom_extent geometry(Geometry, 4326), geom_type text, params JSON, target_geoms INTEGER DEFAULT NULL) -RETURNS TABLE (valid boolean, errors text[]) AS $$ -BEGIN - RAISE NOTICE 'cdb_dataservices_server.obs_metadatavalidation invoked with params (%, %, %, %, %, %)', username, orgname, geom_extent, geom_type, params, target_geoms; - RETURN QUERY SELECT true AS valid, ARRAY[]::TEXT[] AS errors; -END; -$$ LANGUAGE 'plpgsql'; - --- -- Exercise the public and the proxied function - --- No permissions granted -SELECT obs_get_demographic_snapshot(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326), '2009 - 2013'::text, '"us.census.tiger".block_group'::text); -SELECT obs_get_segment_snapshot(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326), '"us.census.tiger".block_group'::text); -SELECT obs_getdemographicsnapshot(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326), '2009 - 2013', '"us.census.tiger".block_group'::text); -SELECT obs_getsegmentsnapshot(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326), '"us.census.tiger".block_group'::text); -SELECT obs_getboundary(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326), 'us.census.tiger.census_tract'::text); -SELECT obs_getboundaryid(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326), 'us.census.tiger.census_tract'::text); -SELECT obs_getboundarybyid('36047'::text, 'us.census.tiger.county'::text); -SELECT obs_getboundariesbygeometry(ST_MakeEnvelope(-73.9452409744, 40.6988851644, -73.9280319214, 40.7101254524, 4326), 'us.census.tiger.census_tract'::text); -SELECT obs_getboundariesbypointandradius(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326), 500, 'us.census.tiger.census_tract'::text); -SELECT obs_getpointsbygeometry(ST_MakeEnvelope(-73.9452409744, 40.6988851644, -73.9280319214, 40.7101254524, 4326), 'us.census.tiger.census_tract'::text); -SELECT obs_getpointsbypointandradius(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326), 500::numeric, 'us.census.tiger.census_tract'::text); -SELECT obs_getmeasure(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326), 'us.census.acs.B01001001'::text); -SELECT obs_getmeasurebyid('36047'::text, 'us.census.acs.B01001001'::text, 'us.census.tiger.county'::text); -SELECT obs_getcategory(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326), 'us.census.spielman_singleton_segments.X10'::text); -SELECT obs_getuscensusmeasure(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326), 'male population'::text); -SELECT obs_getuscensuscategory(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326), 'Spielman-Singleton Segments: 10 Clusters'::text); -SELECT obs_getpopulation(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326)); -SELECT obs_search('total_pop'::text); -SELECT obs_getavailableboundaries(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326)); -SELECT obs_getmeta(ST_SetSRID(ST_Point(-73.9, 40.7), 4326), '[{"numer_id": "us.census.acs.B01003001"}]', 1, 1, 1000); -SELECT obs_getdata(ARRAY['36047'], obs_getmeta(st_setsrid(st_point(-73.9, 40.7), 4326), '[{"numer_id": "us.census.acs.B01003001", "geom_id": "us.census.tiger.county"}]', 1, 1, 1000)); -SELECT obs_getdata(ARRAY[(ST_SetSRID(ST_Point(-73.9, 40.7), 4326), 1)::geomval], obs_getmeta(st_setsrid(st_point(-73.9, 40.7), 4326), '[{"numer_id": "us.census.acs.B01003001"}]')); -SELECT obs_metadatavalidation(ST_SetSRID(ST_Point(-73.9, 40.7), 4326), 'ST_Polygon', '[{"numer_id": "us.census.acs.B01003001"}]', 1000); - --- Grant other permissions but DO -SELECT CDB_Conf_SetConf('api_keys_postgres', '{"username": "test_user", "permissions": ["routing", "isolines"]}'); -SELECT obs_get_demographic_snapshot(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326), '2009 - 2013'::text, '"us.census.tiger".block_group'::text); -SELECT obs_get_segment_snapshot(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326), '"us.census.tiger".block_group'::text); -SELECT obs_getdemographicsnapshot(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326), '2009 - 2013', '"us.census.tiger".block_group'::text); -SELECT obs_getsegmentsnapshot(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326), '"us.census.tiger".block_group'::text); -SELECT obs_getboundary(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326), 'us.census.tiger.census_tract'::text); -SELECT obs_getboundaryid(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326), 'us.census.tiger.census_tract'::text); -SELECT obs_getboundarybyid('36047'::text, 'us.census.tiger.county'::text); -SELECT obs_getboundariesbygeometry(ST_MakeEnvelope(-73.9452409744, 40.6988851644, -73.9280319214, 40.7101254524, 4326), 'us.census.tiger.census_tract'::text); -SELECT obs_getboundariesbypointandradius(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326), 500, 'us.census.tiger.census_tract'::text); -SELECT obs_getpointsbygeometry(ST_MakeEnvelope(-73.9452409744, 40.6988851644, -73.9280319214, 40.7101254524, 4326), 'us.census.tiger.census_tract'::text); -SELECT obs_getpointsbypointandradius(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326), 500::numeric, 'us.census.tiger.census_tract'::text); -SELECT obs_getmeasure(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326), 'us.census.acs.B01001001'::text); -SELECT obs_getmeasurebyid('36047'::text, 'us.census.acs.B01001001'::text, 'us.census.tiger.county'::text); -SELECT obs_getcategory(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326), 'us.census.spielman_singleton_segments.X10'::text); -SELECT obs_getuscensusmeasure(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326), 'male population'::text); -SELECT obs_getuscensuscategory(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326), 'Spielman-Singleton Segments: 10 Clusters'::text); -SELECT obs_getpopulation(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326)); -SELECT obs_search('total_pop'::text); -SELECT obs_getavailableboundaries(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326)); -SELECT obs_getmeta(ST_SetSRID(ST_Point(-73.9, 40.7), 4326), '[{"numer_id": "us.census.acs.B01003001"}]', 1, 1, 1000); -SELECT obs_getdata(ARRAY['36047'], obs_getmeta(st_setsrid(st_point(-73.9, 40.7), 4326), '[{"numer_id": "us.census.acs.B01003001", "geom_id": "us.census.tiger.county"}]', 1, 1, 1000)); -SELECT obs_getdata(ARRAY[(ST_SetSRID(ST_Point(-73.9, 40.7), 4326), 1)::geomval], obs_getmeta(st_setsrid(st_point(-73.9, 40.7), 4326), '[{"numer_id": "us.census.acs.B01003001"}]')); -SELECT obs_metadatavalidation(ST_SetSRID(ST_Point(-73.9, 40.7), 4326), 'ST_Polygon', '[{"numer_id": "us.census.acs.B01003001"}]', 1000); - --- Grant DO permissions -SELECT CDB_Conf_SetConf('api_keys_postgres', '{"username": "test_user", "permissions": ["observatory"]}'); -SELECT obs_get_demographic_snapshot(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326), '2009 - 2013'::text, '"us.census.tiger".block_group'::text); -SELECT obs_get_segment_snapshot(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326), '"us.census.tiger".block_group'::text); -SELECT obs_getdemographicsnapshot(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326), '2009 - 2013', '"us.census.tiger".block_group'::text); -SELECT obs_getsegmentsnapshot(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326), '"us.census.tiger".block_group'::text); -SELECT obs_getboundary(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326), 'us.census.tiger.census_tract'::text); -SELECT obs_getboundaryid(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326), 'us.census.tiger.census_tract'::text); -SELECT obs_getboundarybyid('36047'::text, 'us.census.tiger.county'::text); -SELECT obs_getboundariesbygeometry(ST_MakeEnvelope(-73.9452409744, 40.6988851644, -73.9280319214, 40.7101254524, 4326), 'us.census.tiger.census_tract'::text); -SELECT obs_getboundariesbypointandradius(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326), 500, 'us.census.tiger.census_tract'::text); -SELECT obs_getpointsbygeometry(ST_MakeEnvelope(-73.9452409744, 40.6988851644, -73.9280319214, 40.7101254524, 4326), 'us.census.tiger.census_tract'::text); -SELECT obs_getpointsbypointandradius(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326), 500::numeric, 'us.census.tiger.census_tract'::text); -SELECT obs_getmeasure(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326), 'us.census.acs.B01001001'::text); -SELECT obs_getmeasurebyid('36047'::text, 'us.census.acs.B01001001'::text, 'us.census.tiger.county'::text); -SELECT obs_getcategory(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326), 'us.census.spielman_singleton_segments.X10'::text); -SELECT obs_getuscensusmeasure(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326), 'male population'::text); -SELECT obs_getuscensuscategory(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326), 'Spielman-Singleton Segments: 10 Clusters'::text); -SELECT obs_getpopulation(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326)); -SELECT obs_search('total_pop'::text); -SELECT obs_getavailableboundaries(ST_SetSRID(ST_Point(-73.936669 , 40.704512), 4326)); -SELECT obs_getmeta(ST_SetSRID(ST_Point(-73.9, 40.7), 4326), '[{"numer_id": "us.census.acs.B01003001"}]', 1, 1, 1000); -SELECT obs_getdata(ARRAY['36047'], obs_getmeta(st_setsrid(st_point(-73.9, 40.7), 4326), '[{"numer_id": "us.census.acs.B01003001", "geom_id": "us.census.tiger.county"}]', 1, 1, 1000)); -SELECT obs_getdata(ARRAY[(ST_SetSRID(ST_Point(-73.9, 40.7), 4326), 1)::geomval], obs_getmeta(st_setsrid(st_point(-73.9, 40.7), 4326), '[{"numer_id": "us.census.acs.B01003001"}]')); -SELECT obs_metadatavalidation(ST_SetSRID(ST_Point(-73.9, 40.7), 4326), 'ST_Polygon', '[{"numer_id": "us.census.acs.B01003001"}]', 1000); - -SELECT CDB_Conf_RemoveConf('api_keys_postgres'); diff --git a/client/test/sql/95_data_observatory_tables_test.sql b/client/test/sql/95_data_observatory_tables_test.sql deleted file mode 100644 index 6cf401c..0000000 --- a/client/test/sql/95_data_observatory_tables_test.sql +++ /dev/null @@ -1,60 +0,0 @@ --- Add to the search path the schema -SET search_path TO public,cartodb,cdb_dataservices_client; - -CREATE TABLE my_table(cartodb_id int); - -INSERT INTO my_table (cartodb_id) VALUES (1); - --- Mock the server functions -CREATE OR REPLACE FUNCTION cdb_dataservices_server._DST_ConnectUserTable(username text, orgname text, user_db_role text, input_schema text, dbname text, table_name text) -RETURNS cdb_dataservices_client.ds_fdw_metadata AS $$ -BEGIN - RETURN ('dummy_schema'::text, 'dummy_table'::text, 'dummy_server'::text); -END; -$$ LANGUAGE 'plpgsql'; - -CREATE OR REPLACE FUNCTION cdb_dataservices_server._DST_GetReturnMetadata(username text, orgname text, function_name text, params json) -RETURNS cdb_dataservices_client.ds_return_metadata AS $$ -BEGIN - RETURN (Array['total_pop'], Array['double precision']); -END; -$$ LANGUAGE 'plpgsql'; - -CREATE OR REPLACE FUNCTION cdb_dataservices_server._DST_FetchJoinFdwTableData(username text, orgname text, table_schema text, table_name text, function_name text, params json) -RETURNS RECORD AS $$ -BEGIN - RETURN (23.4::double precision, 1::int); -END; -$$ LANGUAGE 'plpgsql'; - -CREATE OR REPLACE FUNCTION cdb_dataservices_server._DST_DisconnectUserTable(username text, orgname text, table_schema text, table_name text, servername text) -RETURNS boolean AS $$ -BEGIN - RETURN true; -END; -$$ LANGUAGE 'plpgsql'; - -SELECT CDB_Conf_SetConf('api_keys_postgres', '{"username": "test_user", "permissions": [""]}'); - --- Create a sample user table -CREATE TABLE user_table (cartodb_id int, the_geom geometry); -INSERT INTO user_table(cartodb_id, the_geom) VALUES (1, '0101000020E6100000F74FC902E07D52C05FE24CC7654B4440'); -INSERT INTO user_table(cartodb_id, the_geom) VALUES (2, '0101000020E6100000F74FC902E07D52C05FE24CC7654B4440'); -INSERT INTO user_table(cartodb_id, the_geom) VALUES (3, '0101000020E6100000F74FC902E07D52C05FE24CC7654B4440'); - --- Prepare a table with the total_pop column -SELECT cdb_dataservices_client._DST_PrepareTableOBS_GetMeasure('my_table_dst', '{"dummy":"dummy"}'::json); - --- The table should now exist and be empty -SELECT * FROM my_table_dst; - --- Populate the table with measurement data -SELECT cdb_dataservices_client._DST_PopulateTableOBS_GetMeasure('user_table', 'my_table_dst', '{"dummy":"dummy"}'::json); - --- The table should now show the results -SELECT * FROM my_table_dst; - --- Clean tables -DROP TABLE my_table_dst; - -SELECT CDB_Conf_RemoveConf('api_keys_postgres'); diff --git a/docs/developer-center/reference/08-demographic-functions.md b/docs/developer-center/reference/08-demographic-functions.md deleted file mode 100644 index 4dc513a..0000000 --- a/docs/developer-center/reference/08-demographic-functions.md +++ /dev/null @@ -1,5 +0,0 @@ -### Demographic Functions - -
-

We will no longer support these demographic functions from the 1st of January 2021. If you want to collect demographic reports around a point location, we recommend using Data Observatory from our Python library CARTOframes instead.

-
diff --git a/docs/developer-center/reference/09-segmentation-functions.md b/docs/developer-center/reference/09-segmentation-functions.md deleted file mode 100644 index e3cab03..0000000 --- a/docs/developer-center/reference/09-segmentation-functions.md +++ /dev/null @@ -1,5 +0,0 @@ -## Segmentation Functions - -
-

We will no longer support these segmentations functions from the 1st of January 2021. For a similar functionality, we recommend using Data Observatory from our Python library CARTOframes instead.

-
diff --git a/docs/developer-center/support/03-quota-information.md b/docs/developer-center/support/03-quota-information.md index 1a50dc9..74d29d1 100644 --- a/docs/developer-center/support/03-quota-information.md +++ b/docs/developer-center/support/03-quota-information.md @@ -39,7 +39,6 @@ Service Types: * `'isolines'` [Isoline/Isochrones (isochrone/isodistance lines) service]({{site.dataservicesapi_docs}}/reference/#isoline_functions/) * `'hires_geocoder'` [Street level geocoding]({{site.dataservicesapi_docs}}/reference/#street-level-geocoder) * `'routing'` [Routing functions]({{site.dataservicesapi_docs}}/reference/#routing_functions/) -* `'observatory'` Data Observatory services ([demographic]({{site.dataservicesapi_docs}}/reference/#demographic_functions/) and [segmentation]({{site.dataservicesapi_docs}}/reference/#segmentation_functions/) functions) **Notes** @@ -62,12 +61,11 @@ Result: isolines | 100 | 0 | f | tomtom hires_geocoder | 100 | 0 | f | tomtom routing | 50 | 0 | f | tomtom - observatory | 0 | 0 | f | data observatory (4 rows) ``` -In this case, notice that the user has no access to the observatory services. All quotas are *hard-limited* (no soft limits), and no quota has been used in the present period. +All quotas are *hard-limited* (no soft limits), and no quota has been used in the present period. ### cdb_enough_quota(service text ,input_size numeric) diff --git a/docs/internal/quota_management.md b/docs/internal/quota_management.md index 59ea137..f0ecf52 100644 --- a/docs/internal/quota_management.md +++ b/docs/internal/quota_management.md @@ -59,6 +59,6 @@ This operation could be done through the rails console: ### How is the quota spent?### -Almost in all the services: geocoding, data observatory snapshot and general the number of spent credits is calculated per request made (either successful or empty request). +Almost in all the services: geocoding and general the number of spent credits is calculated per request made (either successful or empty request). In the case of the isolines service, the number of credits is calculated based on the number of isolines generated by the request. Ie. If your query generates 3 isolines for the request, you've spent 3 isolines credits. \ No newline at end of file diff --git a/server/extension/carto-package.json b/server/extension/carto-package.json index 2091a1a..68f3168 100644 --- a/server/extension/carto-package.json +++ b/server/extension/carto-package.json @@ -7,8 +7,7 @@ "carto_postgresql_ext": "^0.36.0" }, "works_with": { - "dataservices-api-server-python-lib": "^0.23.1", - "observatory-server-extension": "^1.9.0" + "dataservices-api-server-python-lib": "^0.23.1" } } } \ No newline at end of file diff --git a/server/extension/sql/200_quotas.sql b/server/extension/sql/200_quotas.sql index 5232fbf..dbde577 100644 --- a/server/extension/sql/200_quotas.sql +++ b/server/extension/sql/200_quotas.sql @@ -6,8 +6,7 @@ BEGIN CREATE TYPE cdb_dataservices_server.service_type AS ENUM ( 'isolines', 'hires_geocoder', - 'routing', - 'observatory' + 'routing' ); END IF; END $$; diff --git a/server/extension/test/expected/00_install_test.out b/server/extension/test/expected/00_install_test.out index 8bc5c36..ca687fa 100644 --- a/server/extension/test/expected/00_install_test.out +++ b/server/extension/test/expected/00_install_test.out @@ -50,13 +50,7 @@ SELECT cartodb.cdb_conf_setconf('geocodio_conf', '{"geocoder": {"api_keys": ["ge SELECT cartodb.cdb_conf_setconf('logger_conf', '{"geocoder_log_path": "/dev/null"}'); cdb_conf_setconf ------------------ - -(1 row) - -SELECT cartodb.cdb_conf_setconf('data_observatory_conf', '{"connection": {"whitelist": ["ethervoid"], "production": "host=localhost port=5432 dbname=contrib_regression user=geocoder_api", "staging": "host=localhost port=5432 dbname=dataservices_db user=geocoder_api"}, "monthly_quota": 100000}'); - cdb_conf_setconf ------------------- - + (1 row) -- Mock the varnish invalidation function diff --git a/server/extension/test/sql/00_install_test.sql b/server/extension/test/sql/00_install_test.sql index c8e41eb..37093b7 100644 --- a/server/extension/test/sql/00_install_test.sql +++ b/server/extension/test/sql/00_install_test.sql @@ -15,7 +15,6 @@ SELECT cartodb.cdb_conf_setconf('mapbox_conf', '{"routing": {"api_keys": ["routi SELECT cartodb.cdb_conf_setconf('tomtom_conf', '{"routing": {"api_keys": ["routing_dummy_api_key"], "monthly_quota": 1500000}, "geocoder": {"api_keys": ["geocoder_dummy_api_key"], "monthly_quota": 1500000}, "isolines": {"api_keys": ["isolines_dummy_api_key"], "monthly_quota": 1500000}}'); SELECT cartodb.cdb_conf_setconf('geocodio_conf', '{"geocoder": {"api_keys": ["geocoder_dummy_api_key"], "monthly_quota": 1500000}}'); SELECT cartodb.cdb_conf_setconf('logger_conf', '{"geocoder_log_path": "/dev/null"}'); -SELECT cartodb.cdb_conf_setconf('data_observatory_conf', '{"connection": {"whitelist": ["ethervoid"], "production": "host=localhost port=5432 dbname=contrib_regression user=geocoder_api", "staging": "host=localhost port=5432 dbname=dataservices_db user=geocoder_api"}, "monthly_quota": 100000}'); -- Mock the varnish invalidation function -- (used by cdb_geocoder tests) diff --git a/server/lib/python/cartodb_services/cartodb_services/metrics/__init__.py b/server/lib/python/cartodb_services/cartodb_services/metrics/__init__.py index 52cf7f3..55a3203 100644 --- a/server/lib/python/cartodb_services/cartodb_services/metrics/__init__.py +++ b/server/lib/python/cartodb_services/cartodb_services/metrics/__init__.py @@ -1,4 +1,4 @@ -from cartodb_services.metrics.config import GeocoderConfig, IsolinesRoutingConfig, InternalGeocoderConfig, RoutingConfig, ConfigException, ObservatoryConfig +from cartodb_services.metrics.config import GeocoderConfig, IsolinesRoutingConfig, InternalGeocoderConfig, RoutingConfig, ConfigException from cartodb_services.metrics.quota import QuotaService from cartodb_services.metrics.user import UserMetricsService from cartodb_services.metrics.log import metrics, MetricsDataGatherer, Traceable diff --git a/server/lib/python/cartodb_services/cartodb_services/metrics/config.py b/server/lib/python/cartodb_services/cartodb_services/metrics/config.py index 0c323f8..7b2b8be 100644 --- a/server/lib/python/cartodb_services/cartodb_services/metrics/config.py +++ b/server/lib/python/cartodb_services/cartodb_services/metrics/config.py @@ -57,57 +57,6 @@ class ServiceConfig(object): return None -class DataObservatoryConfig(ServiceConfig): - - METRICS_LOG_KEY = 'do_log_path' - - def __init__(self, redis_connection, db_conn, username, orgname=None): - super(DataObservatoryConfig, self).__init__(redis_connection, db_conn, - username, orgname) - - @property - def monthly_quota(self): - return self._monthly_quota - - @property - def period_end_date(self): - return self._period_end_date - - @property - def soft_limit(self): - return self._soft_limit - - @property - def connection_str(self): - return self._connection_str - - @property - def provider(self): - return 'data observatory' - - -class ObservatoryConfig(DataObservatoryConfig): - - SOFT_LIMIT_KEY = 'soft_obs_general_limit' - QUOTA_KEY = 'obs_general_quota' - PERIOD_END_DATE = 'period_end_date' - - def __init__(self, redis_connection, db_conn, username, orgname=None): - super(ObservatoryConfig, self).__init__(redis_connection, db_conn, - username, orgname) - self._period_end_date = date_parse(self._redis_config[self.PERIOD_END_DATE]) - if self.SOFT_LIMIT_KEY in self._redis_config and self._redis_config[self.SOFT_LIMIT_KEY].lower() == 'true': - self._soft_limit = True - else: - self._soft_limit = False - self._monthly_quota = self._get_effective_monthly_quota(self.QUOTA_KEY) - self._connection_str = self._db_config.data_observatory_connection_str - - @property - def service_type(self): - return 'obs_general' - - class RoutingConfig(ServiceConfig): PERIOD_END_DATE = 'period_end_date' @@ -624,7 +573,6 @@ class ServicesDBConfig: self._get_mapbox_config() self._get_tomtom_config() self._get_geocodio_config() - self._get_data_observatory_config() def _get_server_config(self): server_config_json = self._get_conf('server_conf') @@ -716,19 +664,6 @@ class ServicesDBConfig: self._geocodio_geocoder_quota = geocodio_conf['geocoder']['monthly_quota'] self._geocodio_geocoder_service_params = geocodio_conf['geocoder'].get('service', {}) - def _get_data_observatory_config(self): - do_conf_json = self._get_conf('data_observatory_conf') - if not do_conf_json: - raise ConfigException('Data Observatory configuration missing') - else: - do_conf = json.loads(do_conf_json) - if self._orgname and self._orgname in do_conf['connection']['whitelist']: - self._data_observatory_connection_str = do_conf['connection']['staging'] - elif self._username in do_conf['connection']['whitelist']: - self._data_observatory_connection_str = do_conf['connection']['staging'] - else: - self._data_observatory_connection_str = do_conf['connection']['production'] - def _get_conf(self, key): try: sql = "SELECT cdb_dataservices_server.CDB_Conf_GetConf('{0}') as conf".format(key) @@ -897,10 +832,6 @@ class ServicesDBConfig: def geocodio_geocoder_service_params(self): return self._geocodio_geocoder_service_params - @property - def data_observatory_connection_str(self): - return self._data_observatory_connection_str - @property def logger_config(self): logger_conf_json = self._get_conf('logger_conf') @@ -917,7 +848,6 @@ class ServicesRedisConfig: QUOTA_KEY = 'geocoding_quota' ISOLINES_QUOTA_KEY = 'here_isolines_quota' ROUTING_QUOTA_KEY = 'mapzen_routing_quota' - OBS_GENERAL_QUOTA_KEY = 'obs_general_quota' PERIOD_END_DATE = 'period_end_date' GEOCODER_PROVIDER_KEY = 'geocoder_provider' ISOLINES_PROVIDER_KEY = 'isolines_provider' @@ -960,8 +890,6 @@ class ServicesRedisConfig: user_config[self.ISOLINES_QUOTA_KEY] = org_config[self.ISOLINES_QUOTA_KEY] if self.ROUTING_QUOTA_KEY in org_config: user_config[self.ROUTING_QUOTA_KEY] = org_config[self.ROUTING_QUOTA_KEY] - if self.OBS_GENERAL_QUOTA_KEY in org_config: - user_config[self.OBS_GENERAL_QUOTA_KEY] = org_config[self.OBS_GENERAL_QUOTA_KEY] if self.PERIOD_END_DATE in org_config: user_config[self.PERIOD_END_DATE] = org_config[self.PERIOD_END_DATE] if self.GOOGLE_GEOCODER_CLIENT_ID in org_config: diff --git a/server/lib/python/cartodb_services/cartodb_services/metrics/log.py b/server/lib/python/cartodb_services/cartodb_services/metrics/log.py index bf66d18..aff8ea7 100644 --- a/server/lib/python/cartodb_services/cartodb_services/metrics/log.py +++ b/server/lib/python/cartodb_services/cartodb_services/metrics/log.py @@ -127,8 +127,6 @@ class MetricsServiceLoggerFactory: return MetricsGenericLogger(service_config, logger) elif re.search('_isolines$', service_config.service_type): return MetricsIsolinesLogger(service_config, logger) - elif re.search('^obs_*', service_config.service_type): - return MetricsGenericLogger(service_config, logger) else: return None diff --git a/server/lib/python/cartodb_services/cartodb_services/metrics/quota.py b/server/lib/python/cartodb_services/cartodb_services/metrics/quota.py index c532abb..6339166 100644 --- a/server/lib/python/cartodb_services/cartodb_services/metrics/quota.py +++ b/server/lib/python/cartodb_services/cartodb_services/metrics/quota.py @@ -78,9 +78,6 @@ class QuotaChecker: elif re.match('^routing_', self._user_service_config.service_type) is not None: return self.__check_routing_quota() - elif re.match('^obs_', - self._user_service_config.service_type) is not None: - return self.__check_data_observatory_quota() else: return False @@ -123,18 +120,3 @@ class QuotaChecker: return True else: return False - - def __check_data_observatory_quota(self): - user_quota = self._user_service_config.monthly_quota - soft_limit = self._user_service_config.soft_limit - today = date.today() - service_type = self._user_service_config.service_type - current_used = self._user_service.used_quota(service_type, today) - - # Quick workaround so we don't take into account numer of credits - # spent for users that have defined the quota. - # See https://github.com/CartoDB/bigmetadata/issues/215 - if soft_limit or (user_quota > 0): - return True - else: - return False diff --git a/server/lib/python/cartodb_services/cartodb_services/metrics/user.py b/server/lib/python/cartodb_services/cartodb_services/metrics/user.py index 70bc9a3..2a79ecd 100644 --- a/server/lib/python/cartodb_services/cartodb_services/metrics/user.py +++ b/server/lib/python/cartodb_services/cartodb_services/metrics/user.py @@ -26,7 +26,6 @@ class UserMetricsService: SERVICE_MAPZEN_ROUTING = 'routing_mapzen' SERVICE_MAPBOX_ROUTING = 'routing_mapbox' SERVICE_TOMTOM_ROUTING = 'routing_tomtom' - SERVICE_OBSERVATORY = 'obs_general' DAY_OF_MONTH_ZERO_PADDED = '%d' def __init__(self, user_geocoder_config, redis_connection): @@ -45,8 +44,6 @@ class UserMetricsService: self.SERVICE_MAPBOX_ROUTING, self.SERVICE_TOMTOM_ROUTING]: return self.__used_routing_quota(service_type, date) - elif service_type == self.SERVICE_OBSERVATORY: - return self.__used_observatory_quota(service_type, date) else: return self.__used_geocoding_quota(service_type, date) @@ -97,19 +94,6 @@ class UserMetricsService: return current_use - def __used_observatory_quota(self, service_type, date): - date_from, date_to = self.__current_billing_cycle() - current_use = 0 - success_responses = self.get_metrics(service_type, - 'success_responses', date_from, - date_to) - empty_responses = self.get_metrics(service_type, - 'empty_responses', date_from, - date_to) - current_use += (success_responses + empty_responses) - - return current_use - def increment_service_use(self, service_type, metric, date=date.today(), amount=1): """ Increment the services uses in monthly and daily basis""" diff --git a/server/lib/python/cartodb_services/setup.py b/server/lib/python/cartodb_services/setup.py index b47b393..6103140 100644 --- a/server/lib/python/cartodb_services/setup.py +++ b/server/lib/python/cartodb_services/setup.py @@ -10,7 +10,7 @@ from setuptools import setup, find_packages setup( name='cartodb_services', - version='0.23.5', + version='0.23.6', description='CartoDB Services API Python Library', diff --git a/server/lib/python/cartodb_services/test/metrics/test_config.py b/server/lib/python/cartodb_services/test/metrics/test_config.py index a933a66..e423949 100644 --- a/server/lib/python/cartodb_services/test/metrics/test_config.py +++ b/server/lib/python/cartodb_services/test/metrics/test_config.py @@ -344,102 +344,6 @@ class TestRoutingConfig(TestCase): assert config.soft_limit == True -class TestDataObservatoryUserConfig(TestCase): - - def setUp(self): - self.redis_conn = MockRedis() - plpy_mock_config() - - def test_should_return_config_for_obs_config(self): - yesterday = datetime.today() - timedelta(days=1) - build_redis_user_config(self.redis_conn, 'test_user', 'data_observatory', - quota=100, end_date=yesterday) - do_config = ObservatoryConfig(self.redis_conn, plpy_mock, - 'test_user') - assert do_config.monthly_quota == 100 - assert do_config.soft_limit is False - assert do_config.period_end_date.date() == yesterday.date() - - def test_should_return_0_if_quota_is_0_in_redis(self): - yesterday = datetime.today() - timedelta(days=1) - build_redis_user_config(self.redis_conn, 'test_user', 'data_observatory', - quota=0, end_date=yesterday) - do_config = ObservatoryConfig(self.redis_conn, plpy_mock, - 'test_user') - assert do_config.monthly_quota == 0 - - def test_should_return_0_if_quota_is_empty_in_redis(self): - yesterday = datetime.today() - timedelta(days=1) - build_redis_user_config(self.redis_conn, 'test_user', 'data_observatory', - quota='', end_date=yesterday) - do_config = ObservatoryConfig(self.redis_conn, plpy_mock, - 'test_user') - assert do_config.monthly_quota == 0 - - def test_should_return_true_if_soft_limit_is_true_in_redis(self): - yesterday = datetime.today() - timedelta(days=1) - build_redis_user_config(self.redis_conn, 'test_user', 'data_observatory', - quota=0, soft_limit=True, end_date=yesterday) - do_config = ObservatoryConfig(self.redis_conn, plpy_mock, - 'test_user') - assert do_config.soft_limit is True - - def test_should_return_true_if_soft_limit_is_empty_string_in_redis(self): - yesterday = datetime.today() - timedelta(days=1) - build_redis_user_config(self.redis_conn, 'test_user', 'data_observatory', - quota=0, soft_limit='', end_date=yesterday) - do_config = ObservatoryConfig(self.redis_conn, plpy_mock, - 'test_user') - assert do_config.soft_limit is False - -class TestDataObservatoryOrgConfig(TestCase): - - def setUp(self): - self.redis_conn = MockRedis() - plpy_mock_config() - - def test_should_return_organization_config(self): - yesterday = datetime.today() - timedelta(days=1) - build_redis_user_config(self.redis_conn, 'test_user', 'data_observatory', - quota=100, end_date=yesterday) - build_redis_org_config(self.redis_conn, 'test_org', 'data_observatory', - quota=200, end_date=yesterday) - do_config = ObservatoryConfig(self.redis_conn, plpy_mock, - 'test_user', 'test_org') - assert do_config.monthly_quota == 200 - assert do_config.period_end_date.date() == yesterday.date() - - def test_should_return_quota_0_for_0_in_org_quota_config(self): - yesterday = datetime.today() - timedelta(days=1) - build_redis_user_config(self.redis_conn, 'test_user', 'data_observatory', - quota=100) - build_redis_org_config(self.redis_conn, 'test_org', 'data_observatory', - quota=0, end_date=yesterday) - do_config = ObservatoryConfig(self.redis_conn, plpy_mock, - 'test_user', 'test_org') - assert do_config.monthly_quota == 0 - - def test_should_return_quota_0_for_empty_in_org_quota_config(self): - yesterday = datetime.today() - timedelta(days=1) - build_redis_user_config(self.redis_conn, 'test_user', 'data_observatory', - quota=100) - build_redis_org_config(self.redis_conn, 'test_org', 'data_observatory', - quota='', end_date=yesterday) - do_config = ObservatoryConfig(self.redis_conn, plpy_mock, - 'test_user', 'test_org') - assert do_config.monthly_quota == 0 - - def test_should_return_user_config_when_org_quota_is_not_defined(self): - yesterday = datetime.today() - timedelta(days=1) - build_redis_user_config(self.redis_conn, 'test_user', 'data_observatory', - quota=100) - build_redis_org_config(self.redis_conn, 'test_org', 'data_observatory', - quota=None, end_date=yesterday) - do_config = ObservatoryConfig(self.redis_conn, plpy_mock, - 'test_user', 'test_org') - assert do_config.monthly_quota == 100 - - class TestServicesRedisConfig(TestCase): def test_it_picks_mapzen_routing_quota_from_redis(self): redis_conn = MockRedis() diff --git a/server/lib/python/cartodb_services/test/test_helper.py b/server/lib/python/cartodb_services/test/test_helper.py index 79ec6e2..b8fa4d7 100644 --- a/server/lib/python/cartodb_services/test/test_helper.py +++ b/server/lib/python/cartodb_services/test/test_helper.py @@ -27,9 +27,6 @@ def build_redis_user_config(redis_conn, username, service, quota=100, redis_conn.hset(user_redis_name, 'routing_provider', provider) redis_conn.hset(user_redis_name, 'mapzen_routing_quota', str(quota)) redis_conn.hset(user_redis_name, 'soft_mapzen_routing_limit', str(soft_limit).lower()) - elif service is 'data_observatory': - redis_conn.hset(user_redis_name, 'obs_general_quota', str(quota)) - redis_conn.hset(user_redis_name, 'soft_obs_general_limit', str(soft_limit).lower()) redis_conn.hset(user_redis_name, 'google_maps_client_id', '') redis_conn.hset(user_redis_name, 'google_maps_api_key', '') @@ -53,9 +50,6 @@ def build_redis_org_config(redis_conn, orgname, service, quota=100, redis_conn.hset(org_redis_name, 'routing_provider', provider) if quota is not None: redis_conn.hset(org_redis_name, 'mapzen_routing_quota', str(quota)) - elif service is 'data_observatory': - if quota is not None: - redis_conn.hset(org_redis_name, 'obs_general_quota', str(quota)) redis_conn.hset(org_redis_name, 'google_maps_client_id', '') redis_conn.hset(org_redis_name, 'google_maps_api_key', '') @@ -80,6 +74,5 @@ def plpy_mock_config(): plpy_mock._define_result("CDB_Conf_GetConf\('tomtom_conf'\)", [{'conf': '{"routing": {"api_keys": ["api_key_rou"], "monthly_quota": 1500000}, "geocoder": {"api_keys": ["api_key_geo"], "monthly_quota": 1500000}, "isolines": {"api_keys": ["api_key_mat"], "monthly_quota": 1500000}}'}]) plpy_mock._define_result("CDB_Conf_GetConf\('geocodio_conf'\)", [{'conf': '{"geocoder": {"api_keys": ["api_key_geo"], "monthly_quota": 1500000}}'}]) plpy_mock._define_result("CDB_Conf_GetConf\('logger_conf'\)", [{'conf': '{"geocoder_log_path": "/dev/null"}'}]) - plpy_mock._define_result("CDB_Conf_GetConf\('data_observatory_conf'\)", [{'conf': '{"connection": {"whitelist": ["ethervoid"], "production": "host=localhost port=5432 dbname=dataservices_db user=geocoder_api", "staging": "host=localhost port=5432 dbname=dataservices_db user=geocoder_api"}}'}]) plpy_mock._define_result("CDB_Conf_GetConf\('server_conf'\)", [{'conf': '{"environment": "testing"}'}]) plpy_mock._define_result("select txid_current", [{'txid': random.randint(0, 1000)}]) diff --git a/server/lib/python/cartodb_services/test/test_quota_service.py b/server/lib/python/cartodb_services/test/test_quota_service.py index ce1ca21..844ca86 100644 --- a/server/lib/python/cartodb_services/test/test_quota_service.py +++ b/server/lib/python/cartodb_services/test/test_quota_service.py @@ -178,17 +178,6 @@ class TestQuotaService(TestCase): qs.increment_isolines_service_use(amount=1500000) assert qs.check_user_quota() is False - # Quick workaround so we don't take into account numer of credits - # spent for users that have defined the quota. - # See https://github.com/CartoDB/bigmetadata/issues/215 - def test_should_check_org_obs_quota_correctly(self): - qs = self.__build_obs_quota_service('test_user', - orgname='testorg') - qs.increment_success_service_use() - assert qs.check_user_quota() is True - qs.increment_success_service_use(amount=100000) - assert qs.check_user_quota() is True - def __prepare_quota_service(self, username, service, quota, provider, orgname, soft_limit, end_date): build_redis_user_config(self.redis_conn, username, service, @@ -226,14 +215,3 @@ class TestQuotaService(TestCase): isolines_config = IsolinesRoutingConfig(self.redis_conn, plpy_mock, username, orgname) return QuotaService(isolines_config, redis_connection=self.redis_conn) - - def __build_obs_quota_service(self, username, quota=100, - provider='obs_general', - orgname=None, - soft_limit=False, - end_date=datetime.today()): - self.__prepare_quota_service(username, 'data_observatory', quota, - None, orgname, soft_limit, end_date) - do_config = ObservatoryConfig(self.redis_conn, plpy_mock, - username, orgname) - return QuotaService(do_config, redis_connection=self.redis_conn) diff --git a/test/README.md b/test/README.md index d88fb52..1a0d5f7 100644 --- a/test/README.md +++ b/test/README.md @@ -23,7 +23,6 @@ This suite of tests test the following parts of the geocoding API through the SQ - Street address functions (This will call Heremaps or Google so it will cost you 2 credits) - Routing functions - Isolines functions -- Data Observatory functions ### How to debug the tests @@ -46,7 +45,7 @@ GEOCODER_API_TEST_USERNAME=your_username \ GEOCODER_API_TEST_API_KEY=your_api_key \ GEOCODER_API_TEST_TABLE_NAME=your_test_table \ GEOCODER_API_TEST_HOST=your_target_test_host \ -nosetests --where=integration/ test_data_observatory_functions.py:TestDataObservatoryFunctions.test_if_obs_search_is_ok +nosetests --where=integration/ test_admin1_functions.py:TestAdmin1Functions.test_if_select_with_admin1_without_country_is_ok ``` (replace the environment variables, test file, class and function according to your needs) diff --git a/test/integration/test_data_observatory_functions.py b/test/integration/test_data_observatory_functions.py deleted file mode 100644 index 23305bf..0000000 --- a/test/integration/test_data_observatory_functions.py +++ /dev/null @@ -1,329 +0,0 @@ -from unittest import TestCase -from nose.tools import assert_raises -from nose.tools import assert_not_equal, assert_in -from ..helpers.integration_test_helper import IntegrationTestHelper - - -class TestDataObservatoryFunctions(TestCase): - - def setUp(self): - self.env_variables = IntegrationTestHelper.get_environment_variables() - self.sql_api_url = "{0}://{1}.{2}/api/v1/sql".format( - self.env_variables['schema'], - self.env_variables['username'], - self.env_variables['host'], - ) - - def test_if_get_demographic_snapshot_is_ok(self): - query = "SELECT obs_GetDemographicSnapshot(CDB_LatLng(40.704512, -73.936669)) as snapshot;&api_key={0}".format(self.env_variables['api_key']) - result = IntegrationTestHelper.execute_query(self.sql_api_url, query) - assert_not_equal(result['snapshot'], None) - - def test_if_get_demographic_snapshot_without_api_key_raise_error(self): - query = "SELECT obs_GetDemographicSnapshot(CDB_LatLng(40.704512, -73.936669));" - try: - IntegrationTestHelper.execute_query(self.sql_api_url, query) - except Exception as e: - assert_in(e.message[0], ["Data Observatory permission denied", "function obs_getdemographicsnapshot(geometry) does not exist"]) - - def test_if_get_segment_snapshot_is_ok(self): - query = "SELECT OBS_GetSegmentSnapshot(CDB_LatLng(40.704512, -73.936669)) as snapshot;&api_key={0}".format(self.env_variables['api_key']) - result = IntegrationTestHelper.execute_query(self.sql_api_url, query) - assert_not_equal(result['snapshot'], None) - - def test_if_get_segment_snapshot_without_api_key_raise_error(self): - query = "SELECT OBS_GetSegmentSnapshot(CDB_LatLng(40.704512, -73.936669));" - try: - IntegrationTestHelper.execute_query(self.sql_api_url, query) - except Exception as e: - assert_in(e.message[0], ["Data Observatory permission denied", "function obs_getsegmentsnapshot(geometry) does not exist"]) - - def test_if_get_measure_with_point_is_ok(self): - query = "SELECT OBS_GetMeasure(CDB_LatLng(40.704512, -73.936669), 'us.census.acs.B01003001') as measure;&api_key={0}".format(self.env_variables['api_key']) - result = IntegrationTestHelper.execute_query(self.sql_api_url, query) - assert_not_equal(result['measure'], None) - - def test_if_get_measure_with_area_is_ok(self): - query = "SELECT OBS_GetMeasure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geometry, 'us.census.acs.B01003001') as measure;&api_key={0}".format(self.env_variables['api_key']) - result = IntegrationTestHelper.execute_query(self.sql_api_url, query) - assert_not_equal(result['measure'], None) - - def test_if_get_measure_without_api_key_raise_error(self): - query = "SELECT OBS_GetMeasure(CDB_LatLng(40.704512, -73.936669), 'us.census.acs.B01003001');" - try: - IntegrationTestHelper.execute_query(self.sql_api_url, query) - except Exception as e: - assert_in(e.message[0], ["Data Observatory permission denied", "function obs_getmeasure(geometry, unknown) does not exist"]) - - def test_if_get_measure_by_id_ok(self): - query = "SELECT OBS_GetMeasureById('36047048500', 'us.census.acs.B01003001', 'us.census.tiger.census_tract', '2010 - 2014') as measure;&api_key={0}".format(self.env_variables['api_key']) - result = IntegrationTestHelper.execute_query(self.sql_api_url, query) - assert_not_equal(result['measure'], None) - - def test_if_get_measure_by_id_without_api_key_raise_error(self): - query = "SELECT OBS_GetMeasureById('36047048500', 'us.census.acs.B01003001', 'us.census.tiger.census_tract', '2010 - 2014') as measure" - try: - IntegrationTestHelper.execute_query(self.sql_api_url, query) - except Exception as e: - assert_in(e.message[0], ["Data Observatory permission denied", "function obs_getmeasurebyid(unknown, unknown, unknown, unknown) does not exist"]) - - def test_if_get_category_is_ok(self): - query = "SELECT OBS_GetCategory(CDB_LatLng(40.704512, -73.936669), 'us.census.spielman_singleton_segments.X10', 'us.census.tiger.census_tract', '2010 - 2014') as category;&api_key={0}".format(self.env_variables['api_key']) - result = IntegrationTestHelper.execute_query(self.sql_api_url, query) - assert_not_equal(result['category'], None) - - def test_if_get_category_without_api_key_raise_error(self): - query = "SELECT OBS_GetCategory(CDB_LatLng(40.704512, -73.936669), 'us.census.spielman_singleton_segments.X10', 'us.census.tiger.census_tract', '2010 - 2014');" - try: - IntegrationTestHelper.execute_query(self.sql_api_url, query) - except Exception as e: - assert_in(e.message[0], ["Data Observatory permission denied", "function obs_getcategory(geometry, unknown, unknown, unknown) does not exist"]) - - def test_if_get_us_census_measure_with_point_is_ok(self): - query = "SELECT OBS_GetUSCensusMeasure(CDB_LatLng(40.704512, -73.936669), 'male population') as measure;&api_key={0}".format(self.env_variables['api_key']) - result = IntegrationTestHelper.execute_query(self.sql_api_url, query) - assert_not_equal(result['measure'], None) - - def test_if_get_us_census_measure_with_area_is_ok(self): - query = "SELECT OBS_GetUSCensusMeasure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geometry, 'male population') as measure;&api_key={0}".format(self.env_variables['api_key']) - result = IntegrationTestHelper.execute_query(self.sql_api_url, query) - assert_not_equal(result['measure'], None) - - def test_if_get_us_census_measure_without_api_key_raise_error(self): - query = "SELECT OBS_GetUSCensusMeasure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geometry, 'male population');" - try: - IntegrationTestHelper.execute_query(self.sql_api_url, query) - except Exception as e: - assert_in(e.message[0], ["Data Observatory permission denied", "function obs_getuscensusmeasure(geometry, unknown) does not exist"]) - - def test_if_get_us_census_category_is_ok(self): - query = "SELECT OBS_GetUSCensusCategory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geometry, 'Spielman-Singleton Segments: 10 Clusters') as category;&api_key={0}".format(self.env_variables['api_key']) - result = IntegrationTestHelper.execute_query(self.sql_api_url, query) - assert_not_equal(result['category'], None) - - def test_if_get_us_census_category_without_api_key_raise_error(self): - query = "SELECT OBS_GetUSCensusCategory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geometry, 'Spielman-Singleton Segments: 10 Clusters');" - try: - IntegrationTestHelper.execute_query(self.sql_api_url, query) - except Exception as e: - assert_in(e.message[0], ["Data Observatory permission denied", "function obs_getuscensuscategory(geometry, unknown) does not exist"]) - - def test_if_get_population_is_ok(self): - query = "SELECT OBS_GetPopulation(CDB_LatLng(40.704512, -73.936669)) as population;&api_key={0}".format(self.env_variables['api_key']) - result = IntegrationTestHelper.execute_query(self.sql_api_url, query) - assert_not_equal(result['population'], None) - - def test_if_get_population_without_api_key_raise_error(self): - query = "SELECT OBS_GetPopulation(CDB_LatLng(40.704512, -73.936669));" - try: - IntegrationTestHelper.execute_query(self.sql_api_url, query) - except Exception as e: - assert_in(e.message[0], ["Data Observatory permission denied", "function obs_getpopulation(geometry) does not exist"]) - - def test_if_obs_search_is_ok(self): - sql = "SELECT id FROM OBS_Search('total_pop') WHERE id LIKE 'es.ine%' LIMIT 1;" - import urllib - query = "{0}&api_key={1}".format(urllib.quote(sql), self.env_variables['api_key']) - result = IntegrationTestHelper.execute_query(self.sql_api_url, query) - assert_not_equal(result['id'], None) - - def test_if_obs_search_without_api_key_raise_error(self): - query = "SELECT id FROM OBS_Search('total_pop') LIMIT 1;" - try: - IntegrationTestHelper.execute_query(self.sql_api_url, query) - except Exception as e: - assert_in(e.message[0], ["Data Observatory permission denied", "function obs_search(unknown) does not exist"]) - - def test_if_obs_get_available_boundaries_is_ok(self): - query = "SELECT boundary_id FROM OBS_GetAvailableBoundaries(CDB_LatLng(40.704512, -73.936669)) LIMIT 1;&api_key={0}".format(self.env_variables['api_key']) - result = IntegrationTestHelper.execute_query(self.sql_api_url, query) - assert_not_equal(result['boundary_id'], None) - - def test_if_obs_get_available_boundaries_without_api_key_raise_error(self): - query = "SELECT boundary_id FROM OBS_GetAvailableBoundaries(CDB_LatLng(40.704512, -73.936669)) LIMIT 1;" - try: - IntegrationTestHelper.execute_query(self.sql_api_url, query) - except Exception as e: - assert_in(e.message[0], ["Data Observatory permission denied", "function obs_getavailableboundaries(geometry) does not exist"]) - - def test_if_obs_get_boundary_is_ok(self): - query = "SELECT OBS_GetBoundary(CDB_LatLng(40.704512, -73.936669), 'us.census.tiger.census_tract') as boundary;&api_key={0}".format(self.env_variables['api_key']) - result = IntegrationTestHelper.execute_query(self.sql_api_url, query) - assert_not_equal(result['boundary'], None) - - def test_if_obs_get_boundary_without_api_key_raise_error(self): - query = "SELECT OBS_GetBoundary(CDB_LatLng(40.704512, -73.936669), 'us.census.tiger.census_tract') as boundary;" - try: - IntegrationTestHelper.execute_query(self.sql_api_url, query) - except Exception as e: - assert_in(e.message[0], ["Data Observatory permission denied", "function obs_getboundary(geometry, unknown) does not exist"]) - - def test_if_obs_get_boundary_id_is_ok(self): - query = "SELECT OBS_GetBoundaryId(CDB_LatLng(40.704512, -73.936669), 'us.census.tiger.census_tract', '2015') as boundary_id;&api_key={0}".format(self.env_variables['api_key']) - result = IntegrationTestHelper.execute_query(self.sql_api_url, query) - assert_not_equal(result['boundary_id'], None) - - def test_if_obs_get_boundary_id_without_api_key_raise_error(self): - query = "SELECT OBS_GetBoundaryId(CDB_LatLng(40.704512, -73.936669), 'us.census.tiger.census_tract', '2015') as boundary_id;" - try: - IntegrationTestHelper.execute_query(self.sql_api_url, query) - except Exception as e: - assert_in(e.message[0], ["Data Observatory permission denied", "function obs_getboundaryid(geometry, unknown, unknown) does not exist"]) - - def test_if_obs_get_boundary_by_id_is_ok(self): - query = "SELECT OBS_GetBoundaryById('36047', 'us.census.tiger.county', '2014') as boundary;&api_key={0}".format(self.env_variables['api_key']) - result = IntegrationTestHelper.execute_query(self.sql_api_url, query) - assert_not_equal(result['boundary'], None) - - def test_if_obs_get_boundary_by_id_without_api_key_raise_error(self): - query = "SELECT OBS_GetBoundaryById('36047', 'us.census.tiger.county', '2014') as boundary_id;" - try: - IntegrationTestHelper.execute_query(self.sql_api_url, query) - except Exception as e: - assert_in(e.message[0], ["Data Observatory permission denied", "function obs_getboundarybyid(unknown, unknown, unknown) does not exist"]) - - def test_if_obs_get_boundaries_by_geometry_is_ok(self): - query = "SELECT geom_refs FROM OBS_GetBoundariesByGeometry(ST_MakeEnvelope(-73.9452409744,40.6988851644,-73.9280319214,40.7101254524,4326), 'us.census.tiger.census_tract') ORDER BY geom_refs ASC LIMIT 1;&api_key={0}".format(self.env_variables['api_key']) - result = IntegrationTestHelper.execute_query(self.sql_api_url, query) - assert_not_equal(result['geom_refs'], None) - - def test_if_obs_get_boundaries_by_geometry_without_api_key_raise_error(self): - query = "SELECT geom_refs FROM OBS_GetBoundariesByGeometry(ST_MakeEnvelope(-73.9452409744,40.6988851644,-73.9280319214,40.7101254524,4326), 'us.census.tiger.census_tract') ORDER BY geom_refs ASC LIMIT 1;" - try: - IntegrationTestHelper.execute_query(self.sql_api_url, query) - except Exception as e: - assert_in(e.message[0], ["Data Observatory permission denied", "function obs_getboundariesbygeometry(geometry, unknown) does not exist"]) - - def test_if_obs_get_boundaries_by_point_and_radius_is_ok(self): - query = "SELECT geom_refs FROM OBS_GetBoundariesByPointAndRadius(CDB_LatLng(40.704512, -73.936669), 500, 'us.census.tiger.census_tract') ORDER BY geom_refs ASC LIMIT 1;&api_key={0}".format(self.env_variables['api_key']) - result = IntegrationTestHelper.execute_query(self.sql_api_url, query) - assert_not_equal(result['geom_refs'], None) - - def test_if_obs_get_boundaries_by_point_and_radius_without_api_key_raise_error(self): - query = "SELECT geom_refs FROM OBS_GetBoundariesByPointAndRadius(CDB_LatLng(40.704512, -73.936669), 500, 'us.census.tiger.census_tract') ORDER BY geom_refs ASC LIMIT 1;" - try: - IntegrationTestHelper.execute_query(self.sql_api_url, query) - except Exception as e: - assert_in(e.message[0], ["Data Observatory permission denied", "function obs_getboundariesbypointandradius(geometry, integer, unknown) does not exist"]) - - def test_if_obs_get_points_by_geometry_is_ok(self): - query = "SELECT geom_refs FROM OBS_GetPointsByGeometry(ST_MakeEnvelope(-73.9452409744,40.6988851644,-73.9280319214,40.7101254524,4326), 'us.census.tiger.census_tract') ORDER BY geom_refs ASC LIMIT 1;&api_key={0}".format(self.env_variables['api_key']) - result = IntegrationTestHelper.execute_query(self.sql_api_url, query) - assert_not_equal(result['geom_refs'], None) - - def test_if_obs_get_points_by_geometry_without_api_key_raise_error(self): - query = "SELECT geom_refs FROM OBS_GetPointsByGeometry(ST_MakeEnvelope(-73.9452409744,40.6988851644,-73.9280319214,40.7101254524,4326), 'us.census.tiger.census_tract') ORDER BY geom_refs ASC LIMIT 1;" - try: - IntegrationTestHelper.execute_query(self.sql_api_url, query) - except Exception as e: - assert_in(e.message[0], ["Data Observatory permission denied", "function obs_getpointsbygeometry(geometry, unknown) does not exist"]) - - def test_if_obs_get_points_by_point_and_radius_is_ok(self): - query = "SELECT geom_refs FROM OBS_GetPointsByPointAndRadius(CDB_LatLng(40.704512, -73.936669), 500, 'us.census.tiger.census_tract', '2014') ORDER BY geom_refs ASC LIMIT 1;&api_key={0}".format(self.env_variables['api_key']) - result = IntegrationTestHelper.execute_query(self.sql_api_url, query) - assert_not_equal(result['geom_refs'], None) - - def test_if_obs_get_points_by_point_and_radius_without_api_key_raise_error(self): - query = "SELECT geom_refs FROM OBS_GetPointsByPointAndRadius(CDB_LatLng(40.704512, -73.936669), 500, 'us.census.tiger.census_tract', '2014') ORDER BY geom_refs ASC LIMIT 1;" - try: - IntegrationTestHelper.execute_query(self.sql_api_url, query) - except Exception as e: - assert_in(e.message[0], ["Data Observatory permission denied", "function obs_getpointsbypointandradius(geometry, integer, unknown, unknown) does not exist"]) - - def test_if_obs_get_legacy_builder_metadata_is_ok(self): - query = "SELECT name FROM OBS_LegacyBuilderMetadata() LIMIT 1;&api_key={0}".format(self.env_variables['api_key']) - result = IntegrationTestHelper.execute_query(self.sql_api_url, query) - assert_not_equal(result['name'], None) - - def test_if_legacy_builder_metadata_without_api_key_raise_error(self): - query = "SELECT name FROM OBS_LegacyBuilderMetadata() LIMIT 1;" - try: - IntegrationTestHelper.execute_query(self.sql_api_url, query) - except Exception as e: - assert_in(e.message[0], ["Data Observatory permission denied", "function obs_legacybuildermetadata() does not exist"]) - - def test_if_obs_get_available_numerators_is_ok(self): - query = "SELECT numer_id FROM OBS_GetAvailableNumerators() LIMIT 1;&api_key={0}".format(self.env_variables['api_key']) - result = IntegrationTestHelper.execute_query(self.sql_api_url, query) - assert_not_equal(result['numer_id'], None) - - def test_if_obs_get_available_numerators_without_api_key_raise_error(self): - query = "SELECT numer_id FROM OBS_GetAvailableNumerators() LIMIT 1;" - try: - IntegrationTestHelper.execute_query(self.sql_api_url, query) - except Exception as e: - assert_in(e.message[0], ["Data Observatory permission denied", "function obs_getavailablenumerators() does not exist"]) - - def test_if_obs_get_available_denominators_is_ok(self): - query = "SELECT denom_id FROM OBS_GetAvailableDenominators() LIMIT 1;&api_key={0}".format(self.env_variables['api_key']) - result = IntegrationTestHelper.execute_query(self.sql_api_url, query) - assert_not_equal(result['denom_id'], None) - - def test_if_obs_get_available_denominators_without_api_key_raise_error(self): - query = "SELECT denom_id FROM OBS_GetAvailableDenominators() LIMIT 1;" - try: - IntegrationTestHelper.execute_query(self.sql_api_url, query) - except Exception as e: - assert_in(e.message[0], ["Data Observatory permission denied", "function obs_getavailabledenominators() does not exist"]) - - def test_if_obs_get_available_geometries_is_ok(self): - query = "SELECT geom_id FROM OBS_GetAvailableGeometries() LIMIT 1;&api_key={0}".format(self.env_variables['api_key']) - result = IntegrationTestHelper.execute_query(self.sql_api_url, query) - assert_not_equal(result['geom_id'], None) - - def test_if_obs_get_available_geometries_without_api_key_raise_error(self): - query = "SELECT geom_id FROM OBS_GetAvailableGeometries() LIMIT 1;" - try: - IntegrationTestHelper.execute_query(self.sql_api_url, query) - except Exception as e: - assert_in(e.message[0], ["Data Observatory permission denied", "function obs_getavailablegeometries() does not exist"]) - - def test_if_obs_get_available_timespans_is_ok(self): - query = "SELECT timespan_id FROM OBS_GetAvailableTimespans() LIMIT 1;&api_key={0}".format(self.env_variables['api_key']) - result = IntegrationTestHelper.execute_query(self.sql_api_url, query) - assert_not_equal(result['timespan_id'], None) - - def test_if_obs_get_available_timespans_without_api_key_raise_error(self): - query = "SELECT timespan_id FROM OBS_GetAvailableTimespans() LIMIT 1;" - try: - IntegrationTestHelper.execute_query(self.sql_api_url, query) - except Exception as e: - assert_in(e.message[0], ["Data Observatory permission denied", "function obs_getavailabletimespans() does not exist"]) - - def test_if_obs_get_meta_is_ok(self): - params = '\'[{\"numer_id\": \"us.census.acs.B01003001\"}]\'' - query = "SELECT obs_getmeta(ST_SetSRID(ST_Point(-73.9, 40.7), 4326), {0}, 1, 1, 1000) as metadata LIMIT 1;&api_key={1}".format(params, self.env_variables['api_key']) - result = IntegrationTestHelper.execute_query(self.sql_api_url, query) - assert_not_equal(result['metadata'], None) - - def test_if_obs_get_meta_without_api_key_raise_error(self): - params = '\'[{\"numer_id\": \"us.census.acs.B01003001\"}]\'' - query = "SELECT obs_getmeta(ST_SetSRID(ST_Point(-73.9, 40.7), 4326), {0}, 1, 1, 1000) LIMIT 1;".format(params) - try: - IntegrationTestHelper.execute_query(self.sql_api_url, query) - except Exception as e: - assert_in(e.message[0], ["Data Observatory permission denied", "function obs_getmeta(geometry, unknown, integer, integer, integer) does not exist"]) - - def test_if_obs_get_data_is_ok(self): - params_1 = '\'[{\"numer_id\": \"us.census.acs.B01003001\", \"geom_id\": \"us.census.tiger.county\"}]\'' - params_2 = '\'[{\"numer_id\": \"us.census.acs.B01003001\"}]\'' - query_1 = "SELECT id as data_id FROM obs_getdata(ARRAY['36047'], obs_getmeta(st_setsrid(st_point(-73.9, 40.7), 4326), {0}, 1, 1, 1000)) LIMIT 1;&api_key={1}".format(params_1, self.env_variables['api_key']) - query_2 = "SELECT id as data_id FROM obs_getdata(ARRAY[(ST_SetSRID(ST_Point(-73.9, 40.7), 4326), 1)::geomval], obs_getmeta(st_setsrid(st_point(-73.9, 40.7), 4326), {0})) LIMIT 1;&api_key={1}".format(params_2,self.env_variables['api_key']) - result_1 = IntegrationTestHelper.execute_query(self.sql_api_url, query_1) - assert_not_equal(result_1['data_id'], None) - result_2 = IntegrationTestHelper.execute_query(self.sql_api_url, query_2) - assert_not_equal(result_2['data_id'], None) - - def test_if_obs_get_data_without_api_key_raise_error(self): - params_1 = '\'[{\"numer_id\": \"us.census.acs.B01003001\", \"geom_id\": \"us.census.tiger.county\"}]\''; - params_2 = '\'[{\"numer_id\": \"us.census.acs.B01003001\"}]\'' - query_1 = "SELECT id as data_id FROM obs_getdata(ARRAY['36047'], obs_getmeta(st_setsrid(st_point(-73.9, 40.7), 4326), {0}, 1, 1, 1000)) LIMIT 1;".format(params_1) - query_2 = "SELECT id as data_id FROM obs_getdata(ARRAY[(ST_SetSRID(ST_Point(-73.9, 40.7), 4326), 1)::geomval], obs_getmeta(st_setsrid(st_point(-73.9, 40.7), 4326), {0})) LIMIT 1;".format(params_2) - try: - IntegrationTestHelper.execute_query(self.sql_api_url, query_1) - except Exception as e: - assert_in(e.message[0], ["Data Observatory permission denied", "function obs_getmeta(geometry, unknown, integer, integer, integer) does not exist"]) - try: - IntegrationTestHelper.execute_query(self.sql_api_url, query_2) - except Exception as e: - assert_in(e.message[0], ["Data Observatory permission denied", "function obs_getmeta(geometry, unknown) does not exist"])