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) 2022-2024 WPC Systems Ltd. All rights reserved.
18'''
19
20## Python
21import asyncio
22
23## WPC
24
25from wpcsys import pywpc
26
27
28async def main():
29 ## Get Python driver version
30 print(f'{pywpc.PKG_FULL_NAME} - Version {pywpc.__version__}')
31
32 ## Create device handle
33 dev = pywpc.WifiDAQF4A()
34
35 ## Connect to device
36 try:
37 dev.connect("192.168.5.38") ## Depend on your device
38 except Exception as err:
39 pywpc.printGenericError(err)
40 ## Release device handle
41 dev.close()
42 return
43
44 try:
45 ## Parameters setting
46 port = 0 ## Depend on your device
47 mode = 2 ## 0 : On demand, 1 : N-samples, 2 : Continuous.
48 sampling_rate = 200
49 read_points = 200
50 read_delay = 0.2 ## second
51
52
53 ## Get firmware model & version
54 driver_info = await dev.Sys_getDriverInfo_async()
55 print("Model name: " + driver_info[0])
56 print("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 [s]
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 ## Disconnect device
102 dev.disconnect()
103
104 ## Release device handle
105 dev.close()
106
107 return
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))
114if __name__ == '__main__':
115 asyncio.run(main()) ## Use terminal
116 # await main() ## Use Jupyter or IPython(>=7.0)
117 # main_for_spyder() ## Use Spyder