Use explicit functions for query construction and metadata
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@ -37,26 +37,34 @@ AS $$
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DECLARE
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colnames text[];
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coltypes text[];
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requested_measures text[];
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measure text;
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BEGIN
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-- Simple mock, there should be real logic in here.
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IF $3 NOT ILIKE 'GetMeasure' OR $3 IS NULL THEN
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RAISE 'This function is not supported yet: %', $3;
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IF $3 ILIKE 'OBS_GetMeasure' THEN
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SELECT r.colnames::text[], r.coltypes::text[] INTO colnames, coltypes
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FROM cdb_observatory._OBS_GetMeasureResultMetadata(params) r
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LIMIT 1;
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ELSE
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RAISE 'This function is not supported yet: %', $3;
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END IF;
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RETURN (colnames::text[], coltypes::text[]);
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END;
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$$ LANGUAGE plpgsql;
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SELECT translate($4::json->>'tag_name','[]', '{}')::text[] INTO requested_measures;
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CREATE OR REPLACE FUNCTION cdb_observatory._OBS_GetMeasureResultMetadata(params json)
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RETURNS cdb_observatory.ds_return_metadata
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AS $$
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DECLARE
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colnames text[]; -- Array to store the name of the measures to be returned
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coltypes text[]; -- Array to store the type of the measures to be returned
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requested_measures text[];
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measure_id text;
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BEGIN
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-- By definition, all the measure results for the OBS_GetMeasure API are numeric values
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SELECT translate($1::json->>'measure_id','[]', '{}')::text[] INTO requested_measures;
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FOREACH measure IN ARRAY requested_measures
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FOREACH measure_id IN ARRAY requested_measures
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LOOP
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IF NOT measure ILIKE ANY (Array['total_pop', 'pop_16_over']::text[]) THEN
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RAISE 'This measure is not supported yet: %', measure;
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END IF;
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SELECT array_append(colnames, measure) INTO colnames;
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SELECT array_append(coltypes, 'double precision'::text) INTO coltypes;
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SELECT array_append(colnames, measure_id) INTO colnames;
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SELECT array_append(coltypes, 'numeric'::text) INTO coltypes;
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END LOOP;
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RETURN (colnames::text[], coltypes::text[]);
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@ -68,45 +76,71 @@ RETURNS SETOF record
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AS $$
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DECLARE
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data_query text;
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tag_name text[];
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tag text;
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tags_list text;
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tags_query text;
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rec RECORD;
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BEGIN
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SELECT translate($6::json->>'tag_name','[]', '{}')::text[] INTO tag_name;
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SELECT array_to_string(tag_name, ',') INTO tags_list;
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tags_query := '';
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FOREACH tag IN ARRAY tag_name
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LOOP
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SELECT tags_query || ' sum(' || tag || '/fraction)::double precision as ' || tag || ', ' INTO tags_query;
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END LOOP;
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-- Simple mock, there should be real logic in here.
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data_query := '(WITH _areas AS(SELECT ST_Area(a.the_geom::geography)'
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|| '/ (1000 * 1000) as fraction, a.geoid, b.cartodb_id FROM '
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|| 'observatory.obs_c6fb99c47d61289fbb8e561ff7773799d3fcc308 as a, '
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|| table_schema || '.' || table_name || ' AS b '
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|| 'WHERE b.the_geom && a.the_geom ), values AS (SELECT geoid, '
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|| tags_list
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|| ' FROM observatory.obs_1a098da56badf5f32e336002b0a81708c40d29cd ) '
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|| 'SELECT '
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|| tags_query
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|| ' cartodb_id::int FROM _areas, values '
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|| 'WHERE values.geoid = _areas.geoid GROUP BY cartodb_id);';
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SELECT cdb_observatory._OBS_GetMeasureQuery(table_schema, table_name, params) INTO data_query;
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FOR rec IN EXECUTE data_query
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LOOP
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RETURN NEXT rec;
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END LOOP;
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RETURN;
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RETURN;
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END;
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$$ LANGUAGE plpgsql SECURITY DEFINER;
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CREATE OR REPLACE FUNCTION cdb_observatory._OBS_GetMeasureQuery(table_schema text, table_name text, params json)
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RETURNS text
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AS $$
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DECLARE
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data_query text;
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measure_ids_arr text[];
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measure_id text;
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measures_list text;
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measures_query text;
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normalize text;
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boundary_id text;
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time_span text;
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geom_table_name text;
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data_table_name text;
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BEGIN
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measures_query := '';
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-- SELECT table_name from obs_meta WHERE boundary_id = {bound} AND [...] INTO geom_table_name
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geom_table_name := 'observatory.obs_c6fb99c47d61289fbb8e561ff7773799d3fcc308';
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-- SELECT table_name from obs_meta WHERE time_span = {time} AND [...] INTO data_table_name
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data_table_name := 'observatory.obs_1a098da56badf5f32e336002b0a81708c40d29cd';
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-- Get measure_ids array from JSON
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SELECT translate($3::json->>'measure_id','[]', '{}')::text[] INTO measure_ids_arr;
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-- Get a comma-separated list of measures ("total_pop, over_16_pop") to be used in SELECTs
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SELECT array_to_string(measure_ids_arr, ',') INTO measures_list;
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FOREACH measure_id IN ARRAY measure_ids_arr
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LOOP
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-- Build query to compute each value and normalize
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-- Assumes the default normalization method, the normalize parameter given in the JSON
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-- should be checked in order to build the final query
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SELECT measures_query || ' sum(' || measure_id || '/fraction)::numeric as ' || measure_id || ', ' INTO measures_query;
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END LOOP;
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-- Data query should select the measures and the cartodb_id of the user table, in that order.
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data_query := '(WITH _areas AS(SELECT ST_Area(a.the_geom::geography)'
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|| '/ (1000 * 1000) as fraction, a.geoid, b.cartodb_id FROM '
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|| geom_table_name || ' as a, '
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|| table_schema || '.' || table_name || ' AS b '
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|| 'WHERE b.the_geom && a.the_geom ), values AS (SELECT geoid, '
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|| measures_list
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|| ' FROM ' || data_table_name || ' ) '
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|| 'SELECT '
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|| measures_query
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|| ' cartodb_id::int FROM _areas, values '
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|| 'WHERE values.geoid = _areas.geoid GROUP BY cartodb_id);';
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RETURN data_query;
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END;
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$$ LANGUAGE plpgsql;
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CREATE OR REPLACE FUNCTION cdb_observatory._OBS_DisconnectUserTable(username text, orgname text, table_schema text, table_name text, servername text)
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RETURNS boolean
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AS $$
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