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 WifiDAQF4A.
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) 2022-2024 WPC Systems Ltd. All rights reserved.
19'''
20
21## Python
22import time
23
24## WPC
25
26from wpcsys import pywpc
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.WifiDAQF4A()
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 ## second
52 timeout = 3 ## second
53
54
55 ## Get firmware model & version
56 driver_info = dev.Sys_getDriverInfo(timeout)
57 print("Model name: " + driver_info[0])
58 print("Firmware version: " + driver_info[-1])
59
60 ## Open file with WPC_test.csv
61 err = dev.Logger_openFile("WPC_test.csv")
62 print(f"Logger_openFile, status: {err}")
63
64 ## Write header into CSV file
65 err = dev.Logger_writeHeader(["CH0","CH1","CH2","CH3","CH4","CH5","CH6","CH7"])
66 print(f"Logger_writeHeader, status: {err}")
67
68 ## Open AI
69 err = dev.AI_open(port, timeout)
70 print(f"AI_open in port {port}, status: {err}")
71
72
73 ## Set AI acquisition mode to continuous mode (2)
74 err = dev.AI_setMode(port, mode, timeout)
75 print(f"AI_setMode {mode} in port {port}, status: {err}")
76
77 ## Set AI sampling rate
78 err = dev.AI_setSamplingRate(port, sampling_rate, timeout)
79 print(f"AI_setSamplingRate {sampling_rate} in port {port}, status: {err}")
80
81 ## Open AI streaming
82 err = dev.AI_openStreaming(port, timeout)
83 print(f"AI_openStreaming in port {port}, status: {err}")
84
85 ## Start AI streaming
86 err = dev.AI_startStreaming(port, timeout)
87 print(f"AI_startStreaming in port {port}, status: {err}")
88
89 ## Wait a while for data acquisition
90 time.sleep(1) ## delay [s]
91
92 ## Close AI streaming
93 err = dev.AI_closeStreaming(port, timeout)
94 print(f"AI_closeStreaming in port {port}, status: {err}")
95
96 data_len = 1
97 while data_len > 0:
98 ## Read data acquisition
99 ai_2Dlist = dev.AI_readStreaming(port, read_points, read_delay)
100 print(f"Number of samples: {len(ai_2Dlist)}" )
101
102 ## Write data into CSV file
103 dev.Logger_write2DList(ai_2Dlist)
104
105 ## Update data len
106 data_len = len(ai_2Dlist)
107
108 ## Close AI
109 err = dev.AI_close(port, timeout)
110 print(f"AI_close in port {port}, status: {err}")
111 except Exception as err:
112 pywpc.printGenericError(err)
113
114 ## Disconnect device
115 dev.disconnect()
116
117 ## Release device handle
118 dev.close()
119
120 return
121
122if __name__ == '__main__':
123 main()