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 USBDAQF1AD.
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.USBDAQF1AD()
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 ## second
52 timeout = 3 ## second
53 channel = 8
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 ## Set AI channel
73 err = dev.AI_enableChannel(port, channel, timeout)
74 print(f"AI_enableChannel in port {port}, status: {err}")
75
76 ## Set AI acquisition mode to continuous mode (2)
77 err = dev.AI_setMode(port, mode, timeout)
78 print(f"AI_setMode {mode} in port {port}, status: {err}")
79
80 ## Set AI sampling rate
81 err = dev.AI_setSamplingRate(port, sampling_rate, timeout)
82 print(f"AI_setSamplingRate {sampling_rate} in port {port}, status: {err}")
83
84 ## Open AI streaming
85 err = dev.AI_openStreaming(port, timeout)
86 print(f"AI_openStreaming in port {port}, status: {err}")
87
88 ## Start AI streaming
89 err = dev.AI_startStreaming(port, timeout)
90 print(f"AI_startStreaming in port {port}, status: {err}")
91
92 ## Wait a while for data acquisition
93 time.sleep(1) ## delay [s]
94
95 ## Close AI streaming
96 err = dev.AI_closeStreaming(port, timeout)
97 print(f"AI_closeStreaming in port {port}, status: {err}")
98
99 data_len = 1
100 while data_len > 0:
101 ## Read data acquisition
102 ai_2Dlist = dev.AI_readStreaming(port, read_points, read_delay)
103 print(f"Number of samples: {len(ai_2Dlist)}" )
104
105 ## Write data into CSV file
106 dev.Logger_write2DList(ai_2Dlist)
107
108 ## Update data len
109 data_len = len(ai_2Dlist)
110
111 ## Close AI
112 err = dev.AI_close(port, timeout)
113 print(f"AI_close in port {port}, status: {err}")
114 except Exception as err:
115 pywpc.printGenericError(err)
116
117 ## Disconnect device
118 dev.disconnect()
119
120 ## Release device handle
121 dev.close()
122
123 return
124
125if __name__ == '__main__':
126 main()