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 USBDAQF1AOD.
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.USBDAQF1AOD()
35
36 ## Connect to device
37 try:
38 dev.connect("default") ## 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 channel = 8
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 ## Set AI channel
72 err = dev.AI_enableChannel(port, channel, timeout)
73 print(f"AI_enableChannel in port {port}, status: {err}")
74
75 ## Set AI acquisition mode to continuous mode (2)
76 err = dev.AI_setMode(port, mode, timeout)
77 print(f"AI_setMode {mode} in port {port}, status: {err}")
78
79 ## Set AI sampling rate
80 err = dev.AI_setSamplingRate(port, sampling_rate, timeout)
81 print(f"AI_setSamplingRate {sampling_rate} in port {port}, status: {err}")
82
83 ## Open AI streaming
84 err = dev.AI_openStreaming(port, timeout)
85 print(f"AI_openStreaming in port {port}, status: {err}")
86
87 ## Start AI streaming
88 err = dev.AI_startStreaming(port, timeout)
89 print(f"AI_startStreaming in port {port}, status: {err}")
90
91 ## Wait a while for data acquisition
92 time.sleep(1) ## delay [sec]
93
94 ## Close AI streaming
95 err = dev.AI_closeStreaming(port, timeout)
96 print(f"AI_closeStreaming in port {port}, status: {err}")
97
98 data_len = 1
99 while data_len > 0:
100 ## Read data acquisition
101 ai_2Dlist = dev.AI_readStreaming(port, read_points, read_delay)
102 print(f"Number of samples: {len(ai_2Dlist)}")
103
104 ## Write data into CSV file
105 dev.Logger_write2DList(ai_2Dlist)
106
107 ## Update data len
108 data_len = len(ai_2Dlist)
109
110 ## Close AI
111 err = dev.AI_close(port, timeout)
112 print(f"AI_close in port {port}, status: {err}")
113 except Exception as err:
114 pywpc.printGenericError(err)
115
116 finally:
117 ## Disconnect device
118 dev.disconnect()
119
120 ## Release device handle
121 dev.close()
122
123
124if __name__ == '__main__':
125 main()