本文整理汇总了Python中factual.Factual.crosswalk方法的典型用法代码示例。如果您正苦于以下问题：Python Factual.crosswalk方法的具体用法？Python Factual.crosswalk怎么用？Python Factual.crosswalk使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类factual.Factual的用法示例。
在下文中一共展示了Factual.crosswalk方法的3个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: FactualAPITestSuite
# 需要导入模块: from factual import Factual [as 别名]
# 或者: from factual.Factual import crosswalk [as 别名]
class FactualAPITestSuite(unittest.TestCase):
def setUp(self):
self.factual = Factual(KEY, SECRET)
self.places = self.factual.table('places')
self.facets = self.factual.facets('global')
def test_search(self):
q = self.places.search('factual')
row = q.data()[0]
self.assertRegexpMatches(row['name'], 'Factual')
# full text search for "Mcdonald's, Santa Monica" (test spaces, commas, and apostrophes)
def test_search2(self):
q = self.places.search("McDonald's,Santa Monica").limit(20)
included_rows = q.included_rows()
self.assertEqual(20, included_rows)
def test_limit(self):
q = self.places.search('sushi').limit(3)
self.assertEqual(3, len(q.data()))
def test_select(self):
q = self.places.select('name,address')
row = q.data()[0]
self.assertEqual(2, len(row.keys()))
def test_sort(self):
q1 = self.places.sort_asc('name')
self.assertTrue(q1.data()[0]['name'] < q1.data()[1]['name'])
q2 = self.places.sort_desc('name')
self.assertTrue(q2.data()[0]['name'] > q2.data()[1]['name'])
def test_paging(self):
q1 = self.places.offset(30)
r1 = q1.data()[0]
q2 = self.places.page(3, 15)
r2 = q2.data()[0]
self.assertEqual(r1['name'], r2['name'])
def test_filters(self):
q = self.places.filters({'region': 'NV'})
for r in q.data():
self.assertEqual('NV', r['region'])
def test_geo(self):
q = self.places.search('factual').geo(circle(34.06021, -118.41828, 1000))
row = q.data()[0]
self.assertEqual('Factual', row['name'])
self.assertEqual('1801 Avenue Of The Stars', row['address'])
def test_resolve(self):
q = self.factual.resolve({'name': 'factual inc', 'locality': 'los angeles'})
row = q.data()[0]
self.assertTrue(row['resolved'])
self.assertEqual('1801 Avenue Of The Stars', row['address'])
def test_crosswalk(self):
q = self.factual.crosswalk()
result = q.filters({'factual_id':'03c26917-5d66-4de9-96bc-b13066173c65','namespace':'simplegeo'}).data()
self.assertEqual(1, len(result))
self.assertEqual('SG_3ueEyOH4YN3ob9ryHjV1ey', result[0]['namespace_id'])
def test_schema(self):
schema = self.places.schema()
self.assertEqual(21, len(schema['fields']))
self.assertIn('title', schema)
self.assertIn('locality', set(f['name'] for f in schema['fields']))
# full text search for things where locality equals 大阪市 (Osaka: test unicode)
def test_unicode(self):
q = self.places.filters({'locality': '大阪市'})
for r in q.data():
self.assertEqual('大阪市', r['locality'])
def test_bw_encoding(self):
q = self.places.filters({'category': {"$bw":"Arts, Entertainment & Nightlife > Bars"}})
row = q.data()[0]
self.assertRegexpMatches(row['category'], "Arts, Entertainment & Nightlife > Bars")
def test_in(self):
q = self.places.filters({"locality":{"$in":["Santa Monica","Los Angeles","Culver City"]}})
row = q.data()[0]
self.assertIn(row['locality'], ["Santa Monica","Los Angeles","Culver City"])
def test_and(self):
q = self.places.filters({"$and":[{"country":"US"},{"website":{"$blank":False}}]})
row = q.data()[0]
self.assertEqual('US', row['country'])
self.assertRegexpMatches(row['website'], 'http')
def test_raw_read(self):
# filters here is url encoded {"name":"Starbucks"}
response = self.factual.raw_read('t/places/read', 'limit=15&filters=%7B%22name%22%3A%22Starbucks%22%7D')
payload = json.loads(response)
data = payload['response']['data']
self.assertEqual(15, payload['response']['included_rows'])
self.assertTrue(all(row['name'] == 'Starbucks' for row in data))
#.........这里部分代码省略.........
示例2: FactualAPITestSuite
# 需要导入模块: from factual import Factual [as 别名]
# 或者: from factual.Factual import crosswalk [as 别名]
class FactualAPITestSuite(unittest.TestCase):
def setUp(self):
self.factual = Factual(KEY, SECRET)
self.places = self.factual.table('places')
self.facets = self.factual.facets('global')
def test_search(self):
q = self.places.search('factual')
row = q.data()[0]
self.assertRegexpMatches(row['name'], 'Factual')
# full text search for "Mcdonald's, Santa Monica" (test spaces, commas, and apostrophes)
def test_search2(self):
q = self.places.search("McDonald's,Santa Monica").limit(20)
included_rows = q.included_rows()
self.assertEqual(20, included_rows)
def test_limit(self):
q = self.places.search('sushi').limit(3)
self.assertEqual(3, len(q.data()))
def test_select(self):
q = self.places.select('name,address')
row = q.data()[0]
self.assertEqual(2, len(row.keys()))
def test_sort(self):
q1 = self.places.sort_asc('name')
self.assertTrue(q1.data()[0]['name'] < q1.data()[1]['name'])
q2 = self.places.sort_desc('name')
self.assertTrue(q2.data()[0]['name'] > q2.data()[1]['name'])
def test_paging(self):
q1 = self.places.offset(30)
r1 = q1.data()[0]
q2 = self.places.page(3, 15)
r2 = q2.data()[0]
self.assertEqual(r1['name'], r2['name'])
def test_filters(self):
q = self.places.filters({'region': 'NV'})
for r in q.data():
self.assertEqual('NV', r['region'])
def test_geo(self):
q = self.places.search('factual').geo(circle(34.06021, -118.41828, 1000))
row = q.data()[0]
self.assertEqual('Factual', row['name'])
self.assertEqual('1801 Avenue Of The Stars', row['address'])
def test_read_user(self):
q = self.places.search('sushi').user('python_driver_tester')
included_rows = q.included_rows()
self.assertEqual(20, included_rows)
def test_resolve(self):
q = self.factual.resolve('places-v3', {'name': 'factual inc', 'locality': 'los angeles'})
row = q.data()[0]
self.assertTrue(row['resolved'])
self.assertEqual('1801 Avenue Of The Stars', row['address'])
def test_crosswalk(self):
q = self.factual.crosswalk()
result = q.filters({'factual_id':'03c26917-5d66-4de9-96bc-b13066173c65','namespace':'simplegeo'}).data()
self.assertEqual(1, len(result))
self.assertEqual('SG_3ueEyOH4YN3ob9ryHjV1ey', result[0]['namespace_id'])
def test_schema(self):
schema = self.places.schema()
self.assertGreater(len(schema['fields']),20)
self.assertIn('title', schema)
self.assertIn('locality', set(f['name'] for f in schema['fields']))
# full text search for things where locality equals 大阪市 (Osaka: test unicode)
def test_unicode(self):
q = self.places.filters({'locality': u'大阪市'})
for r in q.data():
self.assertEqual(u'大阪市', r['locality'])
def test_bw_encoding(self):
q = self.places.filters({'name': {"$bw":"Star"}})
row = q.data()[0]
self.assertRegexpMatches(row['name'], "Star")
def test_in(self):
q = self.places.filters({"locality":{"$in":["Santa Monica","Los Angeles","Culver City"]}})
row = q.data()[0]
self.assertIn(row['locality'], ["Santa Monica","Los Angeles","Culver City"])
def test_and(self):
q = self.places.filters({"$and":[{"country":"US"},{"website":{"$blank":False}}]})
row = q.data()[0]
self.assertEqual('US', row['country'].upper())
self.assertRegexpMatches(row['website'], 'http')
def test_includes(self):
q = self.places.filters({'category_ids':{'$includes':10}})
rows = q.data()
#.........这里部分代码省略.........
示例3: FactualAPITestSuite
# 需要导入模块: from factual import Factual [as 别名]
# 或者: from factual.Factual import crosswalk [as 别名]
class FactualAPITestSuite(unittest.TestCase):
def setUp(self):
self.factual = Factual(KEY, SECRET)
self.places = self.factual.table('places')
self.facets = self.factual.facets('global')
def test_search(self):
q = self.places.search('factual')
row = q.data()[0]
self.assertRegexpMatches(row['name'], 'Factual')
# full text search for "Mcdonald's, Santa Monica" (test spaces, commas, and apostrophes)
def test_search2(self):
q = self.places.search("McDonald's,Santa Monica").limit(20)
included_rows = q.included_rows()
self.assertEqual(20, included_rows)
def test_limit(self):
q = self.places.search('sushi').limit(3)
self.assertEqual(3, len(q.data()))
def test_select(self):
q = self.places.select('name,address')
row = q.data()[0]
self.assertEqual(2, len(row.keys()))
def test_sort(self):
q1 = self.places.sort_asc('name')
self.assertTrue(q1.data()[0]['name'] < q1.data()[1]['name'])
q2 = self.places.sort_desc('name')
self.assertTrue(q2.data()[0]['name'] > q2.data()[1]['name'])
def test_paging(self):
q1 = self.places.offset(30)
r1 = q1.data()[0]
q2 = self.places.page(3, 15)
r2 = q2.data()[0]
self.assertEqual(r1['name'], r2['name'])
def test_filters(self):
q = self.places.filters({'region': 'NV'})
for r in q.data():
self.assertEqual('NV', r['region'])
def test_geo(self):
q = self.places.search('factual').geo(circle(34.06021, -118.41828, 1000))
row = q.data()[0]
self.assertEqual('Factual', row['name'])
self.assertEqual('1999 Avenue Of The Stars', row['address'])
def test_read_user(self):
q = self.places.search('sushi').user('python_driver_tester')
included_rows = q.included_rows()
self.assertEqual(20, included_rows)
def test_resolve(self):
q = self.factual.resolve('places-us', {"name": "factual inc", "locality": "los angeles","postcode":"90067"})
row = q.data()[0]
self.assertTrue(row['resolved'])
self.assertEqual('1999 Avenue Of The Stars', row['address'])
def test_resolve_debug(self):
q = self.factual.resolve('places-v3', {'name': 'factual inc', 'locality': 'los angeles'}, debug=True)
row = q.data()[0]
self.assertIn('similarity', row)
def test_crosswalk(self):
q = self.factual.crosswalk()
result = q.filters({'factual_id':FACTUAL_UUID,'namespace':'facebook'}).data()
self.assertGreaterEqual(len(result), 1)
self.assertEqual('151202829333', result[0]['namespace_id'])
def test_schema(self):
schema = self.places.schema()
self.assertGreater(len(schema['fields']),20)
self.assertIn('title', schema)
self.assertIn('locality', set(f['name'] for f in schema['fields']))
# full text search for things where locality equals 大阪市 (Osaka: test unicode)
def test_unicode(self):
q = self.places.filters({'locality': u'大阪市'})
for r in q.data():
self.assertEqual(u'大阪市', r['locality'])
def test_bw_encoding(self):
q = self.places.filters({'name': {"$bw":"Star"}})
row = q.data()[0]
self.assertRegexpMatches(row['name'], "Star")
def test_in(self):
q = self.places.filters({"locality":{"$in":["Santa Monica","Los Angeles","Culver City"]}})
row = q.data()[0]
self.assertIn(row['locality'], ["Santa Monica","Los Angeles","Culver City"])
def test_and(self):
q = self.places.filters({"$and":[{"country":"US"},{"website":{"$blank":False}}]})
row = q.data()[0]
self.assertEqual('US', row['country'].upper())
#.........这里部分代码省略.........