本文整理汇总了Python中factual.Factual.raw_read方法的典型用法代码示例。如果您正苦于以下问题：Python Factual.raw_read方法的具体用法？Python Factual.raw_read怎么用？Python Factual.raw_read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.raw_read方法的4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 raw_read [as 别名]
#.........这里部分代码省略.........
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()
for row in rows:
self.assertIn(10, row['category_ids'])
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))
def test_raw_read_with_map(self):
response = self.factual.raw_read('t/places/read', {'limit':15,'filters':{"name":"Starbucks"}})
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))
def test_raw_write(self):
uuid = '1007462b-dd79-44f5-a69f-e0b6041fa8bd'
params = {'problem':'other','user':'python_driver_tester','debug':True}
response = self.factual.raw_write('t/us-sandbox/' + uuid + '/flag', params)
payload = json.loads(response)
self.assertEqual('ok', payload['status'])
def test_facets1(self):
q = self.facets.search("starbucks").select("country")
results = q.data()['country']
self.assertTrue(results['us'] > 5000)
self.assertTrue(results['ca'] > 200)
def test_facets2(self):
q = self.facets.search("starbucks").select("locality,region").filters({"country":"US"})
locality = q.data()['locality']
region = q.data()['region']
self.assertTrue(locality['chicago'] > 50)示例2: FactualAPITestSuite
# 需要导入模块: from factual import Factual [as 别名]
# 或者: from factual.Factual import raw_read [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3: FactualAPITestSuite
# 需要导入模块: from factual import Factual [as 别名]
# 或者: from factual.Factual import raw_read [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_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": {"$blank": False}}]})
row = q.data()[0]
self.assertEqual("US", row["country"])
self.assertRegexpMatches(row["website"], "http")
def test_raw_read(self):
# filters here is url encoded {"name":"Starbucks"}
response = self.factual.raw_read("t/places/read", "limit=15&filters=%7B%22name%22%3A%22Starbucks%22%7D")
payload = json.loads(response)
data = payload["response"]["data"]
self.assertEqual(15, payload["response"]["included_rows"])
self.assertTrue(all(row["name"] == "Starbucks" for row in data))
def test_facets1(self):
q = self.facets.search("starbucks").select("country")
results = q.data()["country"]
self.assertTrue(results["us"] > 5000)
self.assertTrue(results["ca"] > 200)
#.........这里部分代码省略.........
示例4: FactualAPITestSuite
# 需要导入模块: from factual import Factual [as 别名]
# 或者: from factual.Factual import raw_read [as 别名]
#.........这里部分代码省略.........
schema = self.places.schema()
self.assertGreater(len(schema['fields']),20)
self.assertIn('title', schema)
self.assertIn('locality', set(f['name'] for f in schema['fields']))
# full text search for things where locality equals 大阪市 (Osaka: test unicode)
def test_unicode(self):
q = self.places.filters({'locality': u'大阪市'})
for r in q.data():
self.assertEqual(u'大阪市', r['locality'])
def test_bw_encoding(self):
q = self.places.filters({'name': {"$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()
for row in rows:
self.assertIn(10, row['category_ids'])
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))
def test_raw_read_with_map(self):
response = self.factual.raw_read('t/places/read', {'limit':15,'filters':{"name":"Starbucks"}})
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))
def test_raw_write(self):
uuid = SANDBOX_UUID
params = {'problem':'other','user':'python_driver_tester','debug':True}
response = self.factual.raw_write('t/us-sandbox/' + uuid + '/flag', params)
payload = json.loads(response)
self.assertEqual('ok', payload['status'])
def test_facets1(self):
q = self.facets.search("starbucks").select("country")
results = q.data()['country']
self.assertTrue(results['us'] > 5000)
self.assertTrue(results['ca'] > 200)
def test_facets2(self):
q = self.facets.search("starbucks").select("locality,region").filters({"country":"US"})
locality = q.data()['locality']
region = q.data()['region']
self.assertTrue(locality['chicago'] > 50)