1'''
2AI - AI_continuous.py with synchronous mode.
3
4This example demonstrates the process of obtaining AI data in continuous mode with 8 channels from WifiDAQE3AOD.
5
6To begin with, it demonstrates the steps to open the AI and configure the AI parameters.
7Next, it outlines the procedure for reading the streaming AI data.
8Finally, it concludes by explaining how to close the AI.
9
10-------------------------------------------------------------------------------------
11Please change correct serial number or IP and port number BEFORE you run example code.
12
13For other examples please check:
14 https://github.com/WPC-Systems-Ltd/WPC_Python_driver_release/tree/main/examples
15See README.md file to get detailed usage of this example.
16
17Copyright (c) 2022-2025 WPC Systems Ltd. All rights reserved.
18'''
19
20## WPC
21from wpcsys import pywpc
22
23## Python
24import time
25
26
27
28def main():
29 ## Get Python driver version
30 print(f'{pywpc.PKG_FULL_NAME} - Version {pywpc.__version__}')
31
32 ## Create device handle
33 dev = pywpc.WifiDAQE3AOD()
34
35 ## Connect to device
36 try:
37 dev.connect("192.168.5.38") ## Depend on your device
38 except Exception as err:
39 pywpc.printGenericError(err)
40 ## Release device handle
41 dev.close()
42 return
43
44 try:
45 ## Parameters setting
46 port = 0 ## Depend on your device
47 mode = 2 ## 0: On demand, 1: N-samples, 2: Continuous
48 sampling_rate = 200
49 read_points = 200
50 read_delay = 0.2 ## [sec]
51 timeout = 3 ## [sec]
52
53 ## Get firmware model & version
54 driver_info = dev.Sys_getDriverInfo(timeout)
55 print("Model name: " + driver_info[0])
56 print("Firmware version: " + driver_info[-1])
57
58 ## Open AI
59 err = dev.AI_open(port, timeout)
60 print(f"AI_open in port {port}, status: {err}")
61
62
63 ## Set AI acquisition mode to continuous mode (2)
64 err = dev.AI_setMode(port, mode, timeout)
65 print(f"AI_setMode {mode} in port {port}, status: {err}")
66
67 ## Set AI sampling rate
68 err = dev.AI_setSamplingRate(port, sampling_rate, timeout)
69 print(f"AI_setSamplingRate {sampling_rate} in port {port}, status: {err}")
70
71 ## Open AI streaming
72 err = dev.AI_openStreaming(port, timeout)
73 print(f"AI_openStreaming in port {port}, status: {err}")
74
75 ## Start AI streaming
76 err = dev.AI_startStreaming(port, timeout)
77 print(f"AI_startStreaming in port {port}, status: {err}")
78
79 ## Wait a while for data acquisition
80 time.sleep(1) ## delay [sec]
81
82 ## Close AI streaming
83 err = dev.AI_closeStreaming(port, timeout)
84 print(f"AI_closeStreaming in port {port}, status: {err}")
85
86 data_len = 1
87 while data_len > 0:
88 ## Read data acquisition
89 ai_2Dlist = dev.AI_readStreaming(port, read_points, read_delay)
90 print(f"Number of samples: {len(ai_2Dlist)}")
91
92 ## Update data len
93 data_len = len(ai_2Dlist)
94
95 ## Close AI
96 err = dev.AI_close(port, timeout)
97 print(f"AI_close in port {port}, status: {err}")
98 except Exception as err:
99 pywpc.printGenericError(err)
100
101 finally:
102 ## Disconnect device
103 dev.disconnect()
104
105 ## Release device handle
106 dev.close()
107
108
109if __name__ == '__main__':
110 main()