Merge branch 'fix-hardcoded-getcategory-geom' into release-v-1.0.2-preview
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commit
f22854b4e9
@ -393,7 +393,6 @@ DECLARE
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colname TEXT;
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measure_val NUMERIC;
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data_geoid_colname TEXT;
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test_query TEXT;
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BEGIN
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EXECUTE
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@ -434,27 +433,61 @@ CREATE OR REPLACE FUNCTION cdb_observatory.OBS_GetCategory(
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RETURNS TEXT
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AS $$
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DECLARE
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denominator_id TEXT;
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categories TEXT[];
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data_table TEXT;
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geom_table TEXT;
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colname TEXT;
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data_geomref_colname TEXT;
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geom_geomref_colname TEXT;
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geom_colname TEXT;
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category_val TEXT;
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category_share NUMERIC;
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BEGIN
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IF boundary_id IS NULL THEN
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-- TODO we should determine best boundary for this geom
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boundary_id := 'us.census.tiger.census_tract';
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EXECUTE
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$query$
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SELECT numer_colname, numer_geomref_colname, numer_tablename,
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geom_geomref_colname, geom_colname, geom_tablename
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FROM observatory.obs_meta
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WHERE (geom_id = $1 OR ($1 = ''))
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AND numer_id = $2
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AND (numer_timespan = $3 OR ($3 = ''))
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ORDER BY geom_weight DESC, numer_timespan DESC
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LIMIT 1
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$query$
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INTO colname, data_geomref_colname, data_table,
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geom_geomref_colname, geom_colname, geom_table
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USING COALESCE(boundary_id, ''), category_id, COALESCE(time_span, '');
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IF ST_GeometryType(geom) = 'ST_Point' THEN
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EXECUTE format(
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'SELECT %I
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FROM observatory.%I data, observatory.%I geom
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WHERE data.%I = geom.%I
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AND ST_WITHIN(%L, geom.%I) ',
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colname, data_table, geom_table, data_geomref_colname,
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geom_geomref_colname, geom, geom_colname)
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INTO category_val;
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ELSE
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-- favor the category with the most area
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EXECUTE format(
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'SELECT %I category, SUM(overlap_fraction) category_share
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FROM observatory.%I data, (
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SELECT ST_Area(
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ST_Intersection(%L, a.%I)
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) / ST_Area(%L) AS overlap_fraction, %I geomref
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FROM observatory.%I as a
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WHERE %L && a.%I) _overlaps
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WHERE data.%I = _overlaps.geomref
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GROUP BY category
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ORDER BY SUM(overlap_fraction) DESC
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LIMIT 1',
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colname, data_table,
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geom, geom_colname, geom, geom_geomref_colname,
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geom_table, geom, geom_colname, data_geomref_colname)
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INTO category_val, category_share;
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END IF;
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IF time_span IS NULL THEN
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-- TODO we should determine latest timespan for this measure
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time_span := '2010 - 2014';
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END IF;
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EXECUTE '
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SELECT ARRAY_AGG(val) FROM (SELECT (cdb_observatory._OBS_GetCategories($1, $2, $3, $4))->>''category'' val LIMIT 1) b
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'
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INTO categories
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USING geom, ARRAY[category_id], boundary_id, time_span;
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RETURN (categories)[1];
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RETURN category_val;
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END;
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$$ LANGUAGE plpgsql;
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@ -172,7 +172,7 @@ SELECT cdb_observatory.OBS_GetCategory(
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-- Poly-based OBS_GetCategory
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SELECT cdb_observatory.OBS_GetCategory(
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cdb_observatory._TestArea(), 'us.census.spielman_singleton_segments.X10') = 'Low income, mix of minorities' As obs_getcategory_polygon;
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cdb_observatory._TestArea(), 'us.census.spielman_singleton_segments.X10') = 'Wealthy, urban without Kids' As obs_getcategory_polygon;
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-- Point-based OBS_GetPopulation, default normalization (area)
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SELECT (abs(OBS_GetPopulation - 10923.093200390833950) / 10923.093200390833950) < 0.001 As OBS_GetPopulation FROM
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@ -201,7 +201,7 @@ SELECT cdb_observatory.OBS_GetUSCensusCategory(
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-- Area-based OBS_GetUSCensusCategory
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SELECT cdb_observatory.OBS_GetUSCensusCategory(
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cdb_observatory._testarea(), 'Spielman-Singleton Segments: 10 Clusters') = 'Low income, mix of minorities' As OBS_GetUSCensusCategory_polygon;
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cdb_observatory._testarea(), 'Spielman-Singleton Segments: 10 Clusters') = 'Wealthy, urban without Kids' As OBS_GetUSCensusCategory_polygon;
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-- OBS_GetMeasureById tests
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