提交 777696ef 编写于 作者: X xj.lin

basic function pass

上级 675b5317
......@@ -42,7 +42,7 @@ class Scheduler(metaclass=Singleton):
result_list.append(searcher.search_by_vectors(vectors, k))
if len(result_list) == 1:
return result_list[0].vectors
return result_list[0].vectors[0].tolist() # TODO(linxj): fix hard code
return result_list; # TODO(linxj): add topk
......
......@@ -6,10 +6,10 @@ import numpy as np
class TestScheduler(unittest.TestCase):
def test_schedule(self):
def test_single_query(self):
d = 64
nb = 10000
nq = 2
nq = 1
nt = 5000
xt, xb, xq = get_dataset(d, nb, nt, nq)
ids_xb = np.arange(xb.shape[0])
......
......@@ -159,9 +159,8 @@ class VectorEngine(object):
vectors.append(vector)
result = scheduler_instance.search(index_map, vectors, limit)
vector_id = [0]
vector_ids_str = []
for int_id in vector_id:
for int_id in result:
vector_ids_str.append(group_id + '.' + str(int_id))
return VectorEngine.SUCCESS_CODE, vector_ids_str
......@@ -201,7 +200,7 @@ class VectorEngine(object):
VectorEngine.group_vector_dict[group_id].append(vector)
VectorEngine.group_vector_id_dict[group_id].append(vector_id)
print('InsertVectorIntoRawFile: ', VectorEngine.group_vector_dict[group_id], VectorEngine.group_vector_id_dict[group_id])
# print('InsertVectorIntoRawFile: ', VectorEngine.group_vector_dict[group_id], VectorEngine.group_vector_id_dict[group_id])
print("cache size: ", len(VectorEngine.group_vector_dict[group_id]))
return filename
......@@ -209,8 +208,8 @@ class VectorEngine(object):
@staticmethod
def GetVectorListFromRawFile(group_id, filename="todo"):
print("GetVectorListFromRawFile, vectors: ", serialize.to_array(VectorEngine.group_vector_dict[group_id]))
print("GetVectorListFromRawFile, vector_ids: ", serialize.to_int_array(VectorEngine.group_vector_id_dict[group_id]))
# print("GetVectorListFromRawFile, vectors: ", serialize.to_array(VectorEngine.group_vector_dict[group_id]))
# print("GetVectorListFromRawFile, vector_ids: ", serialize.to_int_array(VectorEngine.group_vector_id_dict[group_id]))
return serialize.to_array(VectorEngine.group_vector_dict[group_id]), serialize.to_int_array(VectorEngine.group_vector_id_dict[group_id])
@staticmethod
......
import unittest
import numpy as np
import requests
import pytest
import logging
import json
......@@ -8,34 +8,38 @@ url = "http://127.0.0.1:5000"
# TODO: LOG and Assert
class TestEngineFunction(unittest.TestCase):
class TestEngineFunction():
def test_1m_add(self):
d = 4
nb = 120
nb = 100
nq = 1
k = 10
_, xb, xq = get_dataset(d, nb, 1, nq)
groupid = "5m"
groupid = "test_search_3"
# 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)
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()
# print(data)
r = requests.post(vector_add_route, json=data)
print(r.json())
# 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)
for i in xq:
data['vector'] = i.tolist()
data['limit'] = k
# print(data)
r = requests.get(vector_search_route, json=data)
print(r.json())
print("finish")
def get_dataset(d, nb, nt, nq):
d1 = 10 # intrinsic dimension (more or less)
......@@ -47,7 +51,3 @@ def get_dataset(d, nb, nt, nq):
x = np.sin(x)
x = x.astype('float32')
return x[:nt], x[nt:-nq], x[-nq:]
if __name__ == "__main__":
unittest.main()
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