1'''
2AI - AI_N_samples_once.py with asynchronous mode.
3
4This example demonstrates the process of obtaining AI data in N-sample mode.
5Additionally, it gets AI data with points in once from USBDAQF1AOD.
6
7To begin with, it demonstrates the steps to open the AI and configure the AI parameters.
8Next, it outlines the procedure for reading 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 asyncio
23
24## WPC
25
26from wpcsys import pywpc
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.USBDAQF1AOD()
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 = 1 ## 0 : On demand, 1 : N-samples, 2 : Continuous
49 channel = 8
50 sampling_rate = 1000
51 samples = 200
52 read_points = 200
53 read_delay = 0.5 ## second
54
55 ## Get firmware model & version
56 driver_info = await dev.Sys_getDriverInfo_async()
57 print("Model name: " + driver_info[0])
58 print("Firmware version: " + driver_info[-1])
59
60 ## Open AI
61 err = await dev.AI_open_async(port)
62 print(f"AI_open_async in port {port}, status: {err}")
63
64 ## Set AI channel
65 err = await dev.AI_enableChannel_async(port, channel)
66 print(f"AI_enableChannel_async in port {port}, status: {err}")
67 ## Set AI acquisition mode to N-samples mode (1)
68 err = await dev.AI_setMode_async(port, mode)
69 print(f"AI_setMode_async {mode} in port {port}, status: {err}")
70
71 ## Set AI sampling rate
72 err = await dev.AI_setSamplingRate_async(port, sampling_rate)
73 print(f"AI_setSamplingRate_async {sampling_rate} in port {port}, status: {err}")
74
75 ## Set AI # of samples
76 err = await dev.AI_setNumSamples_async(port, samples)
77 print(f"AI_setNumSamples_async {samples} 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 ## Read AI
88 ai_2Dlist = await dev.AI_readStreaming_async(port, read_points, read_delay)
89 print(f"number of samples = {len(ai_2Dlist)}" )
90
91 ok = True
92 for i, ai_list in enumerate(ai_2Dlist):
93 ## Check for any missing data
94 if len(ai_list) != channel:
95 print(i, ai_list)
96 ok = False
97 if ok:
98 print('OK')
99 else:
100 print('NG')
101
102 ## Close AI streaming
103 err = await dev.AI_closeStreaming_async(port)
104 print(f"AI_closeStreaming_async in port {port}, status: {err}")
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 ## Disconnect device
113 dev.disconnect()
114
115 ## Release device handle
116 dev.close()
117
118 return
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))
125if __name__ == '__main__':
126 asyncio.run(main()) ## Use terminal
127 # await main() ## Use Jupyter or IPython(>=7.0)
128 # main_for_spyder() ## Use Spyder