1'''
2AI - AI_continuous.py with asynchronous mode.
3
4This example demonstrates the process of obtaining AI data in continuous mode with 8 channels from WifiDAQF4A.
5
6To begin with, it demonstrates the steps to open the AI and configure the AI parameters.
7Next, it outlines the procedure for reading the streaming AI data.
8Finally, it concludes by explaining how to close the AI.
9
10-------------------------------------------------------------------------------------
11Please change correct serial number or IP and port number BEFORE you run example code.
12
13For other examples please check:
14 https://github.com/WPC-Systems-Ltd/WPC_Python_driver_release/tree/main/examples
15See README.md file to get detailed usage of this example.
16
17Copyright (c) 2022-2025 WPC Systems Ltd. All rights reserved.
18'''
19
20## WPC
21from wpcsys import pywpc
22
23## Python
24import asyncio
25import sys
26sys.path.insert(0, 'src/')
27
28
29async def 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 ## [sec]
52
53
54 ## Get firmware model & version
55 driver_info = await dev.Sys_getDriverInfo_async()
56 print(f"Model name: {driver_info[0]}, Firmware version: {driver_info[-1]} ")
57
58 ## Open AI
59 err = await dev.AI_open_async(port)
60 print(f"AI_open_async in port {port}, status: {err}")
61
62
63 ## Set AI acquisition mode to continuous mode (2)
64 err = await dev.AI_setMode_async(port, mode)
65 print(f"AI_setMode_async {mode} in port {port}, status: {err}")
66
67 ## Set AI sampling rate
68 err = await dev.AI_setSamplingRate_async(port, sampling_rate)
69 print(f"AI_setSamplingRate_async {sampling_rate} in port {port}, status: {err}")
70
71 ## Open AI streaming
72 err = await dev.AI_openStreaming_async(port)
73 print(f"AI_openStreaming_async in port {port}, status: {err}")
74
75 ## Start AI streaming
76 err = await dev.AI_startStreaming_async(port)
77 print(f"AI_startStreaming_async in port {port}, status: {err}")
78
79 ## Wait for acquisition
80 await asyncio.sleep(1) ## delay [sec]
81
82 ## Close AI streaming
83 err = await dev.AI_closeStreaming_async(port)
84 print(f"AI_closeStreaming_async in port {port}, status: {err}")
85
86 data_len = 1
87 while data_len > 0:
88 ## Read data acquisition
89 ai_2Dlist = await dev.AI_readStreaming_async(port, read_points, read_delay)
90 print(f"number of samples = {len(ai_2Dlist)}")
91
92 ## Update data len
93 data_len = len(ai_2Dlist)
94
95 ## Close AI
96 err = await dev.AI_close_async(port)
97 print(f"AI_close_async in port {port}, status: {err}")
98 except Exception as err:
99 pywpc.printGenericError(err)
100
101 finally:
102 ## Disconnect device
103 dev.disconnect()
104
105 ## Release device handle
106 dev.close()
107
108
109def main_for_spyder(*args):
110 if asyncio.get_event_loop().is_running():
111 return asyncio.create_task(main(*args)).result()
112 else:
113 return asyncio.run(main(*args))
114
115
116if __name__ == '__main__':
117 asyncio.run(main()) ## Use terminal
118 # await main() ## Use Jupyter or IPython(>=7.0)
119 # main_for_spyder() ## Use Spyder