add function test

pyengine/engine/controller/vector_engine.py

@@ -108,7 +108,8 @@ class VectorEngine(object):
                 FileTable.query.filter(FileTable.group_name == group_id).filter(FileTable.type == 'raw').update({'row_number':file.row_number + 1,
                                                                                                                  'type': 'index',
                                                                                                                  'filename': index_filename})
-                pass
+                db.session.commit()
+                VectorEngine.group_dict = None
 
             else:
                 # we still can insert into exist raw file, update database
@@ -152,9 +153,9 @@ class VectorEngine(object):
         vectors.append(vector)
         result = scheduler_instance.search(index_map, vectors, limit)
 
-        vector_id = 0
+        # vector_id = 0
 
-        return VectorEngine.SUCCESS_CODE, vector_id
+        return VectorEngine.SUCCESS_CODE, result
 
 
     @staticmethod
@@ -184,7 +185,8 @@ class VectorEngine(object):
 
         VectorEngine.group_dict[group_id].append(vector)
 
-        print('InsertVectorIntoRawFile: ', VectorEngine.group_dict[group_id])
+        # print('InsertVectorIntoRawFile: ', VectorEngine.group_dict[group_id])
+        print("cache size: ", len(VectorEngine.group_dict[group_id]))
         return filename
 
 

pyengine/engine/controller/views.py

@@ -16,6 +16,7 @@ class Vector(Resource):
         self.__parser.add_argument('vector', type=float, action='append', location=['json'])
 
     def post(self, group_id):
+        print(request.json)
         args = self.__parser.parse_args()
         vector = args['vector']
         code = VectorEngine.AddVector(group_id, vector)

pyengine/engine/settings.py

@@ -5,5 +5,5 @@ SQLALCHEMY_TRACK_MODIFICATIONS = False
 # SECRET_KEY='A0Zr98j/3yX R~XHH!jmN]LWX/,?RT'
 SQLALCHEMY_DATABASE_URI = "mysql+pymysql://vecwise@127.0.0.1:3306/vecdata"
 
-ROW_LIMIT = 10000000
+ROW_LIMIT = 1000000
 DATABASE_DIRECTORY = '/tmp'
\ No newline at end of file

pyengine/tests/test_function.py

+import unittest
+import numpy as np
+import requests
+import logging
+import json
+
+url = "http://127.0.0.1:5000"
+
+
+# TODO: LOG and Assert
+class TestEngineFunction(unittest.TestCase):
+    def test_1m_add(self):
+        d = 4
+        nb = 120
+        nq = 1
+        k = 10
+        _, xb, xq = get_dataset(d, nb, 1, nq)
+
+        groupid = "5m"
+
+        # route_group = url + "/vector/group/" + groupid
+        # r = requests.post(route_group, json={"dimension": d})
+        #
+        # # import dataset
+        # vector_add_route = url + "/vector/add/" + groupid
+        # for i in xb:
+        #     data = dict()
+        #     data['vector'] = i.tolist()
+        #     r = requests.post(vector_add_route, json=data)
+
+        # search dataset
+        vector_search_route = url + "/vector/search/" + groupid
+        data = dict()
+        data['vector'] = xq.tolist()
+        data['limit'] = k
+        r = requests.get(vector_search_route, json=data)
+
+        print("finish")
+
+def get_dataset(d, nb, nt, nq):
+    d1 = 10  # intrinsic dimension (more or less)
+    n = nb + nt + nq
+    rs = np.random.RandomState(1338)
+    x = rs.normal(size=(n, d1))
+    x = np.dot(x, rs.rand(d1, d))
+    x = x * (rs.rand(d) * 4 + 0.1)
+    x = np.sin(x)
+    x = x.astype('float32')
+    return x[:nt], x[nt:-nq], x[-nq:]
+
+
+if __name__ == "__main__":
+    unittest.main()