1'''
2AI - AI_continuous_with_logger.py with synchronous mode.
3
4This example demonstrates the process of obtaining AI data in continuous mode with 8 channels from WifiDAQE3A.
5Then, save data into CSV file.
6
7To begin with, it demonstrates the steps to open the AI and configure the AI parameters.
8Next, it outlines the procedure for reading and saving the streaming AI data.
9Finally, it concludes by explaining how to close the AI.
10
11-------------------------------------------------------------------------------------
12Please change correct serial number or IP and port number BEFORE you run example code.
13
14For other examples please check:
15 https://github.com/WPC-Systems-Ltd/WPC_Python_driver_release/tree/main/examples
16See README.md file to get detailed usage of this example.
17
18Copyright (c) 2022-2025 WPC Systems Ltd. All rights reserved.
19'''
20
21## WPC
22from wpcsys import pywpc
23
24## Python
25import time
26
27
28
29def main():
30 ## Get Python driver version
31 print(f'{pywpc.PKG_FULL_NAME} - Version {pywpc.__version__}')
32
33 ## Create device handle
34 dev = pywpc.WifiDAQE3A()
35
36 ## Connect to device
37 try:
38 dev.connect("192.168.5.38") ## Depend on your device
39 except Exception as err:
40 pywpc.printGenericError(err)
41 ## Release device handle
42 dev.close()
43 return
44
45 try:
46 ## Parameters setting
47 port = 0 ## Depend on your device
48 mode = 2 ## 0: On demand, 1: N-samples, 2: Continuous
49 sampling_rate = 200
50 read_points = 200
51 read_delay = 0.2 ## [sec]
52 timeout = 3 ## [sec]
53
54
55 ## Get firmware model & version
56 driver_info = dev.Sys_getDriverInfo(timeout)
57 print(f"Model name: {driver_info[0]}, Firmware version: {driver_info[-1]} ")
58
59 ## Open file with WPC_test.csv
60 err = dev.Logger_openFile("WPC_test.csv")
61 print(f"Logger_openFile, status: {err}")
62
63 ## Write header into CSV file
64 err = dev.Logger_writeHeader(["CH0", "CH1", "CH2", "CH3", "CH4", "CH5", "CH6", "CH7"])
65 print(f"Logger_writeHeader, status: {err}")
66
67 ## Open AI
68 err = dev.AI_open(port, timeout)
69 print(f"AI_open in port {port}, status: {err}")
70
71
72 ## Set AI acquisition mode to continuous mode (2)
73 err = dev.AI_setMode(port, mode, timeout)
74 print(f"AI_setMode {mode} in port {port}, status: {err}")
75
76 ## Set AI sampling rate
77 err = dev.AI_setSamplingRate(port, sampling_rate, timeout)
78 print(f"AI_setSamplingRate {sampling_rate} in port {port}, status: {err}")
79
80 ## Open AI streaming
81 err = dev.AI_openStreaming(port, timeout)
82 print(f"AI_openStreaming in port {port}, status: {err}")
83
84 ## Start AI streaming
85 err = dev.AI_startStreaming(port, timeout)
86 print(f"AI_startStreaming in port {port}, status: {err}")
87
88 ## Wait a while for data acquisition
89 time.sleep(1) ## delay [sec]
90
91 ## Close AI streaming
92 err = dev.AI_closeStreaming(port, timeout)
93 print(f"AI_closeStreaming in port {port}, status: {err}")
94
95 data_len = 1
96 while data_len > 0:
97 ## Read data acquisition
98 ai_2Dlist = dev.AI_readStreaming(port, read_points, read_delay)
99 print(f"Number of samples: {len(ai_2Dlist)}")
100
101 ## Write data into CSV file
102 dev.Logger_write2DList(ai_2Dlist)
103
104 ## Update data len
105 data_len = len(ai_2Dlist)
106
107 ## Close AI
108 err = dev.AI_close(port, timeout)
109 print(f"AI_close in port {port}, status: {err}")
110 except Exception as err:
111 pywpc.printGenericError(err)
112
113 finally:
114 ## Disconnect device
115 dev.disconnect()
116
117 ## Release device handle
118 dev.close()
119
120
121if __name__ == '__main__':
122 main()