1'''
2AI - AI_continuous_with_logger.py with asynchronous 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 asyncio
26import sys
27sys.path.insert(0, 'src/')
28
29
30async def main():
31 ## Get Python driver version
32 print(f'{pywpc.PKG_FULL_NAME} - Version {pywpc.__version__}')
33
34 ## Create device handle
35 dev = pywpc.WifiDAQE3A()
36
37 ## Connect to device
38 try:
39 dev.connect("192.168.5.38") ## Depend on your device
40 except Exception as err:
41 pywpc.printGenericError(err)
42 ## Release device handle
43 dev.close()
44 return
45
46 try:
47 ## Parameters setting
48 port = 0 ## Depend on your device
49 mode = 2 ## 0: On demand, 1: N-samples, 2: Continuous
50 sampling_rate = 200
51 read_points = 200
52 read_delay = 0.2 ## [sec]
53
54
55 ## Get firmware model & version
56 driver_info = await dev.Sys_getDriverInfo_async()
57 print(f"Model name: {driver_info[0]}, Firmware version: {driver_info[-1]} ")
58 ## Open file with WPC_test.csv
59 err = dev.Logger_openFile("WPC_test.csv")
60 print(f"Logger_openFile, status: {err}")
61
62 ## Write header into CSV file
63 err = dev.Logger_writeHeader(["CH0", "CH1", "CH2", "CH3", "CH4", "CH5", "CH6", "CH7"])
64 print(f"Logger_writeHeader, status: {err}")
65
66 ## Open AI
67 err = await dev.AI_open_async(port)
68 print(f"AI_open_async in port {port}, status: {err}")
69
70
71 ## Set AI acquisition mode to continuous mode (2)
72 err = await dev.AI_setMode_async(port, mode)
73 print(f"AI_setMode_async {mode} in port {port}, status: {err}")
74
75 ## Set AI sampling rate
76 err = await dev.AI_setSamplingRate_async(port, sampling_rate)
77 print(f"AI_setSamplingRate_async {sampling_rate} in port {port}, status: {err}")
78
79 ## Open AI streaming
80 err = await dev.AI_openStreaming_async(port)
81 print(f"AI_openStreaming_async in port {port}, status: {err}")
82
83 ## Start AI streaming
84 err = await dev.AI_startStreaming_async(port)
85 print(f"AI_startStreaming_async in port {port}, status: {err}")
86
87 ## Wait for acquisition
88 await asyncio.sleep(1) ## delay [sec]
89
90 ## Close AI streaming
91 err = await dev.AI_closeStreaming_async(port)
92 print(f"AI_closeStreaming_async in port {port}, status: {err}")
93
94 data_len = 1
95 while data_len > 0:
96 ## Read data acquisition
97 ai_2Dlist = await dev.AI_readStreaming_async(port, read_points, read_delay)
98 print(f"number of samples = {len(ai_2Dlist)}")
99
100 ## Write data into CSV file
101 dev.Logger_write2DList(ai_2Dlist)
102
103 ## Update data len
104 data_len = len(ai_2Dlist)
105
106 ## Close AI
107 err = await dev.AI_close_async(port)
108 print(f"AI_close_async in port {port}, status: {err}")
109 except Exception as err:
110 pywpc.printGenericError(err)
111
112 finally:
113 ## Disconnect device
114 dev.disconnect()
115
116 ## Release device handle
117 dev.close()
118
119
120def main_for_spyder(*args):
121 if asyncio.get_event_loop().is_running():
122 return asyncio.create_task(main(*args)).result()
123 else:
124 return asyncio.run(main(*args))
125
126
127if __name__ == '__main__':
128 asyncio.run(main()) ## Use terminal
129 # await main() ## Use Jupyter or IPython(>=7.0)
130 # main_for_spyder() ## Use Spyder