Adapted autotest to to work with SQL directly instead of over HTTP SQL API
This commit is contained in:
248
src/python/test/autotest.py
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248
src/python/test/autotest.py
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from nose.tools import assert_equal, assert_is_not_none
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from nose.plugins.skip import SkipTest
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from nose_parameterized import parameterized
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from util import query
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USE_SCHEMA = True
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MEASURE_COLUMNS = query('''
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SELECT distinct numer_id, numer_aggregate NOT ILIKE 'sum' as point_only
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FROM observatory.obs_meta
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WHERE numer_type ILIKE 'numeric'
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AND numer_weight > 0
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''').fetchall()
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CATEGORY_COLUMNS = query('''
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SELECT distinct numer_id
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FROM observatory.obs_meta
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WHERE numer_type ILIKE 'text'
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AND numer_weight > 0
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''').fetchall()
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BOUNDARY_COLUMNS = query('''
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SELECT id FROM observatory.obs_column
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WHERE type ILIKE 'geometry'
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AND weight > 0
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''').fetchall()
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US_CENSUS_MEASURE_COLUMNS = query('''
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SELECT distinct numer_name
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FROM observatory.obs_meta
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WHERE numer_type ILIKE 'numeric'
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AND 'us.census.acs.acs' = ANY (subsection_tags)
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AND numer_weight > 0
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''').fetchall()
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SKIP_COLUMNS = set([
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u'mx.inegi_columns.INDI18',
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u'mx.inegi_columns.ECO40',
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u'mx.inegi_columns.POB34',
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u'mx.inegi_columns.POB63',
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u'mx.inegi_columns.INDI7',
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u'mx.inegi_columns.EDU28',
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u'mx.inegi_columns.SCONY10',
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u'mx.inegi_columns.EDU31',
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u'mx.inegi_columns.POB7',
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u'mx.inegi_columns.VIV30',
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u'mx.inegi_columns.INDI12',
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u'mx.inegi_columns.EDU13',
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u'mx.inegi_columns.ECO43',
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u'mx.inegi_columns.VIV9',
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u'mx.inegi_columns.HOGAR25',
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u'mx.inegi_columns.POB32',
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u'mx.inegi_columns.ECO7',
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u'mx.inegi_columns.INDI19',
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u'mx.inegi_columns.INDI16',
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u'mx.inegi_columns.POB65',
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u'mx.inegi_columns.INDI3',
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u'mx.inegi_columns.INDI9',
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u'mx.inegi_columns.POB36',
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u'mx.inegi_columns.POB33',
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u'mx.inegi_columns.POB58',
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])
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def default_geometry_id(column_id):
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'''
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Returns default test point for the column_id.
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'''
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if column_id == 'whosonfirst.wof_disputed_geom':
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return 'ST_SetSRID(ST_MakePoint(76.57, 33.78), 4326)'
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elif column_id == 'whosonfirst.wof_marinearea_geom':
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return 'ST_SetSRID(ST_MakePoint(-68.47, 43.33), 4326)'
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elif column_id in ('us.census.tiger.school_district_elementary',
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'us.census.tiger.school_district_secondary',
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'us.census.tiger.school_district_elementary_clipped',
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'us.census.tiger.school_district_secondary_clipped'):
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return 'ST_SetSRID(ST_MakePoint(-73.7067, 40.7025), 4326)'
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elif column_id.startswith('es.ine'):
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return 'ST_SetSRID(ST_MakePoint(-2.51141249535454, 42.8226119029222), 4326)'
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elif column_id.startswith('us.zillow'):
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return 'ST_SetSRID(ST_MakePoint(-81.3544048197256, 28.3305906291771), 4326)'
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else:
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return 'ST_SetSRID(ST_MakePoint(-73.9, 40.7), 4326)'
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def default_point(column_id):
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'''
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Returns default test point for the column_id.
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'''
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if column_id == 'whosonfirst.wof_disputed_geom':
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return 'ST_SetSRID(ST_MakePoint(76.57, 33.78), 4326)'
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elif column_id == 'whosonfirst.wof_marinearea_geom':
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return 'ST_SetSRID(ST_MakePoint(-68.47, 43.33), 4326)'
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elif column_id in ('us.census.tiger.school_district_elementary',
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'us.census.tiger.school_district_secondary',
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'us.census.tiger.school_district_elementary_clipped',
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'us.census.tiger.school_district_secondary_clipped'):
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return 'ST_SetSRID(ST_MakePoint(-73.7067, 40.7025), 4326)'
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elif column_id.startswith('uk'):
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if 'WA' in column_id:
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return 'ST_SetSRID(ST_MakePoint(-3.184833526611328, 51.46844551219723), 4326)'
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else:
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return 'ST_SetSRID(ST_MakePoint(-0.08883476257324219, 51.51461834694225), 4326)'
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elif column_id.startswith('es'):
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return 'ST_SetSRID(ST_MakePoint(-2.51141249535454, 42.8226119029222), 4326)'
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elif column_id.startswith('us.zillow'):
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return 'ST_SetSRID(ST_MakePoint(-81.3544048197256, 28.3305906291771), 4326)'
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elif column_id.startswith('mx.'):
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return 'ST_SetSRID(ST_MakePoint(-99.17019367218018, 19.41347699386547), 4326)'
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else:
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return 'ST_SetSRID(ST_MakePoint(-73.9, 40.7), 4326)'
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def default_area(column_id):
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'''
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Returns default test area for the column_id
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'''
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point = default_point(column_id)
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area = 'ST_Transform(ST_Buffer(ST_Transform({point}, 3857), 1000), 4326)'.format(
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point=point)
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return area
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@parameterized(US_CENSUS_MEASURE_COLUMNS)
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def test_get_us_census_measure_points(name):
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resp = query('''
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SELECT * FROM {schema}OBS_GetUSCensusMeasure({point}, '{name}')
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'''.format(name=name.replace("'", "''"),
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schema='cdb_observatory.' if USE_SCHEMA else '',
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point=default_point('')))
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rows = resp.fetchall()
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assert_equal(1, len(rows))
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assert_is_not_none(rows[0][0])
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@parameterized(MEASURE_COLUMNS)
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def test_get_measure_areas(column_id, point_only):
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if column_id in SKIP_COLUMNS:
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raise SkipTest('Column {} should be skipped'.format(column_id))
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if point_only:
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return
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resp = query('''
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SELECT * FROM {schema}OBS_GetMeasure({area}, '{column_id}')
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'''.format(column_id=column_id,
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schema='cdb_observatory.' if USE_SCHEMA else '',
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area=default_area(column_id)))
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rows = resp.fetchall()
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assert_equal(1, len(rows))
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assert_is_not_none(rows[0][0])
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@parameterized(MEASURE_COLUMNS)
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def test_get_measure_points(column_id, point_only):
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if column_id in SKIP_COLUMNS:
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raise SkipTest('Column {} should be skipped'.format(column_id))
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resp = query('''
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SELECT * FROM {schema}OBS_GetMeasure({point}, '{column_id}')
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'''.format(column_id=column_id,
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schema='cdb_observatory.' if USE_SCHEMA else '',
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point=default_point(column_id)))
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rows = resp.fetchall()
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assert_equal(1, len(rows))
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assert_is_not_none(rows[0][0])
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#@parameterized(CATEGORY_COLUMNS)
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#def test_get_category_areas(column_id):
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# resp = query('''
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#SELECT * FROM {schema}OBS_GetCategory({area}, '{column_id}')
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# '''.format(column_id=column_id,
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# schema='cdb_observatory.' if USE_SCHEMA else '',
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# area=default_area(column_id)))
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# assert_equal(resp.status_code, 200)
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# rows = resp.json()['rows']
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# assert_equal(1, len(rows))
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# assert_is_not_none(rows[0][0])
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@parameterized(CATEGORY_COLUMNS)
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def test_get_category_points(column_id):
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if column_id in SKIP_COLUMNS:
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raise SkipTest('Column {} should be skipped'.format(column_id))
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resp = query('''
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SELECT * FROM {schema}OBS_GetCategory({point}, '{column_id}')
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'''.format(column_id=column_id,
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schema='cdb_observatory.' if USE_SCHEMA else '',
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point=default_point(column_id)))
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rows = resp.fetchall()
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assert_equal(1, len(rows))
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assert_is_not_none(rows[0][0])
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#@parameterized(BOUNDARY_COLUMNS)
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#def test_get_boundaries_by_geometry(column_id):
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# resp = query('''
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#SELECT * FROM {schema}OBS_GetBoundariesByGeometry({area}, '{column_id}')
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# '''.format(column_id=column_id,
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# schema='cdb_observatory.' if USE_SCHEMA else '',
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# area=default_area(column_id)))
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# assert_equal(resp.status_code, 200)
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# rows = resp.json()['rows']
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# assert_equal(1, len(rows))
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# assert_is_not_none(rows[0][0])
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#@parameterized(BOUNDARY_COLUMNS)
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#def test_get_points_by_geometry(column_id):
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# resp = query('''
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#SELECT * FROM {schema}OBS_GetPointsByGeometry({area}, '{column_id}')
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# '''.format(column_id=column_id,
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# schema='cdb_observatory.' if USE_SCHEMA else '',
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# area=default_area(column_id)))
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# assert_equal(resp.status_code, 200)
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# rows = resp.json()['rows']
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# assert_equal(1, len(rows))
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# assert_is_not_none(rows[0][0])
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#@parameterized(BOUNDARY_COLUMNS)
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#def test_get_boundary_points(column_id):
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# resp = query('''
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#SELECT * FROM {schema}OBS_GetBoundary({point}, '{column_id}')
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# '''.format(column_id=column_id,
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# schema='cdb_observatory.' if USE_SCHEMA else '',
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# point=default_point(column_id)))
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# assert_equal(resp.status_code, 200)
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# rows = resp.json()['rows']
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# assert_equal(1, len(rows))
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# assert_is_not_none(rows[0][0])
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#@parameterized(BOUNDARY_COLUMNS)
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#def test_get_boundary_id(column_id):
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# resp = query('''
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#SELECT * FROM {schema}OBS_GetBoundaryId({point}, '{column_id}')
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# '''.format(column_id=column_id,
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# schema='cdb_observatory.' if USE_SCHEMA else '',
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# point=default_point(column_id)))
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# assert_equal(resp.status_code, 200)
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# rows = resp.json()['rows']
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# assert_equal(1, len(rows))
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# assert_is_not_none(rows[0][0])
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#@parameterized(BOUNDARY_COLUMNS)
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#def test_get_boundary_by_id(column_id):
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# resp = query('''
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#SELECT * FROM {schema}OBS_GetBoundaryById({geometry_id}, '{column_id}')
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# '''.format(column_id=column_id,
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# schema='cdb_observatory.' if USE_SCHEMA else '',
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# geometry_id=default_geometry_id(column_id)))
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# assert_equal(resp.status_code, 200)
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# rows = resp.json()['rows']
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# assert_equal(1, len(rows))
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# assert_is_not_none(rows[0][0])
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