-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathzeromq_client.py
60 lines (49 loc) · 1.68 KB
/
zeromq_client.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
import zmq
import pandas as pd
import time
from tqdm import tqdm
context = zmq.Context()
socket = context.socket(zmq.REQ)
socket.connect("tcp://localhost:5555")
df = pd.read_feather(r"B:\Dropbox\Data\BT_Data\stock\min\volume_20240401.arrow")
df = df.fillna(-1)
serialization_times = []
send_times = []
receive_times = []
deserialization_times = []
for attempt in tqdm(range(10)):
# 직렬화 시간 측정
start_time = time.time()
data = df.to_json()
serialize_time = time.time() - start_time
# 데이터 전송 시간 측정
start_time = time.time()
socket.send_json({'action': 'send', 'data': data})
socket.recv_string()
send_time = time.time() - start_time
# 데이터 수신 시간 측정
start_time = time.time()
socket.send_json({'action': 'get'})
received_data = socket.recv_json()
receive_time = time.time() - start_time
# 역직렬화 시간 측정
start_time = time.time()
received_df = pd.read_json(received_data)
deserialize_time = time.time() - start_time
serialization_times.append(serialize_time)
send_times.append(send_time)
receive_times.append(receive_time)
deserialization_times.append(deserialize_time)
# 결과를 pandas DataFrame으로 변환
results = {
"attempt": list(range(1, 11)),
"serialization": serialization_times,
"deserialization": deserialization_times,
"sending": send_times,
"receiving": receive_times
}
df_results = pd.DataFrame(results)
print(df_results)
# CSV 파일로 저장
df_results.to_csv("zeromq_performance_log.csv", index=False)
print("Performance log saved to zeromq_performance_log.csv")