add python sample

Former-commit-id: 2c0825ad6ed774eb5ad1999b1439f840dc602bf1

cpp/src/thrift/gen-py/py_sample.py

+import time
+import struct
+
+from test_proj_env.zilliz import VecService
+
+from thrift import Thrift
+from thrift.transport import TSocket
+from thrift.transport import TTransport
+from thrift.protocol import TBinaryProtocol, TCompactProtocol, TJSONProtocol
+
+def print_time_cost(desc, t):
+    time_now = time.time()
+    print(desc + ' cost ', time_now - t, ' sec')
+    return time_now
+
+def test_vecwise():
+    try:
+        time_start = time.time()
+
+        #connect
+        transport = TSocket.TSocket('localhost', 33001)
+        transport = TTransport.TBufferedTransport(transport)
+        protocol = TJSONProtocol.TJSONProtocol(transport)
+        client = VecService.Client(protocol)
+        transport.open()
+
+        time_start = print_time_cost('connection', time_start)
+
+        #add group
+        group = VecService.VecGroup("py_group_" + time.strftime('%H%M%S'), 256)
+        client.add_group(group)
+
+        time_start = print_time_cost('add group', time_start)
+
+        #build vectors
+        # vec_list = VecService.VecTensorList([])
+        # for i in range(10000):
+        #     vec = VecService.VecTensor("normal_"+str(i), [])
+        #     for k in range(group.dimension):
+        #         vec.tensor.append(k)
+        #     vec_list.tensor_list.append(vec)
+        #time_start = print_time_cost('build normal vectors', time_start)
+
+        #add vectors
+        #client.add_vector_batch(group.id, vec_list)
+        #time_start = print_time_cost('add normal vectors', time_start))
+
+        # build binary vectors
+        bin_vec_list = VecService.VecBinaryTensorList([])
+        for i in range(10000):
+            a=[]
+            for k in range(group.dimension):
+                a.append(i + k)
+            bin_vec = VecService.VecBinaryTensor("binary_" + str(i), bytes())
+            bin_vec.tensor = struct.pack(str(group.dimension)+"d", *a)
+            bin_vec_list.tensor_list.append(bin_vec)
+
+        time_start = print_time_cost('build binary vectors', time_start)
+
+        # add vectors
+        client.add_binary_vector_batch(group.id, bin_vec_list)
+        time_start = print_time_cost('add binary vectors', time_start)
+
+        time.sleep(5)
+        time_start = print_time_cost('sleep 5 seconds', time_start)
+
+        # search vector
+        a = []
+        for k in range(group.dimension):
+            a.append(300 + k)
+        bin_vec = VecService.VecBinaryTensor("binary_search", bytes())
+        bin_vec.tensor = struct.pack(str(group.dimension) + "d", *a)
+        filter = VecService.VecSearchFilter()
+        res = VecService.VecSearchResult()
+        res = client.search_binary_vector(group.id, 5, bin_vec, filter)
+        time_start = print_time_cost('search binary vectors', time_start)
+
+        print('result count: ' + str(len(res.result_list)))
+        for item in res.result_list:
+            print(item.uid)
+
+        transport.close()
+        time_start = print_time_cost('close connection', time_start)
+
+    except Thrift.TException as ex:
+        print(ex.message)
+
+
+test_vecwise()
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