106 lines
3.8 KiB
Python
106 lines
3.8 KiB
Python
from nose.tools import assert_equal, assert_is_not_none
|
|
from nose_parameterized import parameterized
|
|
|
|
import os
|
|
import re
|
|
import requests
|
|
|
|
HOSTNAME = os.environ['OBS_HOSTNAME']
|
|
API_KEY = os.environ['OBS_API_KEY']
|
|
META_HOSTNAME = os.environ.get('OBS_META_HOSTNAME', HOSTNAME)
|
|
META_API_KEY = os.environ.get('OBS_META_API_KEY', API_KEY)
|
|
USE_SCHEMA = 'OBS_USE_SCHEMA' in os.environ
|
|
|
|
|
|
def query(q, is_meta=False, **options):
|
|
'''
|
|
Query the account. Returned is the response, wrapped by the requests
|
|
library.
|
|
'''
|
|
url = 'https://{hostname}/api/v2/sql'.format(
|
|
hostname=META_HOSTNAME if is_meta else HOSTNAME)
|
|
params = options.copy()
|
|
params['q'] = re.sub(r'\s+', ' ', q)
|
|
params['api_key'] = META_API_KEY if is_meta else API_KEY
|
|
return requests.get(url, params=params)
|
|
|
|
MEASURE_COLUMNS = [(r['id'], ) for r in query('''
|
|
SELECT id FROM obs_column
|
|
WHERE type ILIKE 'numeric'
|
|
AND weight > 0
|
|
''', is_meta=True).json()['rows']]
|
|
|
|
CATEGORY_COLUMNS = [(r['id'], ) for r in query('''
|
|
SELECT id FROM obs_column
|
|
WHERE type ILIKE 'text'
|
|
AND weight > 0
|
|
''', is_meta=True).json()['rows']]
|
|
|
|
BOUNDARY_COLUMNS = [(r['id'], ) for r in query('''
|
|
SELECT id FROM obs_column
|
|
WHERE type ILIKE 'geometry'
|
|
AND weight > 0
|
|
''', is_meta=True).json()['rows']]
|
|
|
|
def default_point(column_id):
|
|
'''
|
|
Returns default test point for the column_id.
|
|
'''
|
|
if column_id == 'whosonfirst.wof_disputed_geom':
|
|
return 'CDB_LatLng(33.78, 76.57)'
|
|
elif column_id == 'whosonfirst.wof_marinearea_geom':
|
|
return 'CDB_LatLng(43.33, -68.47)'
|
|
elif column_id in ('us.census.tiger.school_district_elementary',
|
|
'us.census.tiger.school_district_secondary',
|
|
'us.census.tiger.school_district_elementary_clipped',
|
|
'us.census.tiger.school_district_secondary_clipped'):
|
|
return 'CDB_LatLng(40.7025, -73.7067)'
|
|
elif column_id.startswith('uk'):
|
|
if 'WA' in column_id:
|
|
return 'CDB_LatLng(51.46844551219723, -3.184833526611328)'
|
|
else:
|
|
return 'CDB_LatLng(51.51461834694225, -0.08883476257324219)'
|
|
elif column_id.startswith('es'):
|
|
return 'CDB_LatLng(42.8226119029222, -2.51141249535454)'
|
|
elif column_id.startswith('us.zillow'):
|
|
return 'CDB_LatLng(28.3305906291771, -81.3544048197256)'
|
|
else:
|
|
return 'CDB_LatLng(40.7, -73.9)'
|
|
|
|
|
|
@parameterized(MEASURE_COLUMNS)
|
|
def test_measure_points(column_id):
|
|
resp = query('''
|
|
SELECT * FROM {schema}OBS_GetMeasure({point}, '{column_id}')
|
|
'''.format(column_id=column_id,
|
|
schema='cdb_observatory.' if USE_SCHEMA else '',
|
|
point=default_point(column_id)))
|
|
assert_equal(resp.status_code, 200)
|
|
rows = resp.json()['rows']
|
|
assert_equal(1, len(rows))
|
|
assert_is_not_none(rows[0].values()[0])
|
|
|
|
@parameterized(CATEGORY_COLUMNS)
|
|
def test_category_points(column_id):
|
|
resp = query('''
|
|
SELECT * FROM {schema}OBS_GetCategory({point}, '{column_id}')
|
|
'''.format(column_id=column_id,
|
|
schema='cdb_observatory.' if USE_SCHEMA else '',
|
|
point=default_point(column_id)))
|
|
assert_equal(resp.status_code, 200)
|
|
rows = resp.json()['rows']
|
|
assert_equal(1, len(rows))
|
|
assert_is_not_none(rows[0].values()[0])
|
|
|
|
@parameterized(BOUNDARY_COLUMNS)
|
|
def test_boundary_points(column_id):
|
|
resp = query('''
|
|
SELECT * FROM {schema}OBS_GetBoundary({point}, '{column_id}')
|
|
'''.format(column_id=column_id,
|
|
schema='cdb_observatory.' if USE_SCHEMA else '',
|
|
point=default_point(column_id)))
|
|
assert_equal(resp.status_code, 200)
|
|
rows = resp.json()['rows']
|
|
assert_equal(1, len(rows))
|
|
assert_is_not_none(rows[0].values()[0])
|