AI continuous

  1'''
  2AI - AI_continuous.py with synchronous mode.
  3
  4This example demonstrates the process of obtaining AI data in continuous mode with 8 channels from USBDAQF1AOD.
  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 time
 25
 26
 27
 28def main():
 29    ## Get Python driver version
 30    print(f'{pywpc.PKG_FULL_NAME} - Version {pywpc.__version__}')
 31
 32    ## Create device handle
 33    dev = pywpc.USBDAQF1AOD()
 34
 35    ## Connect to device
 36    try:
 37        dev.connect("default")  ## 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  ## [sec]
 51        timeout = 3  ## [sec]
 52        channel = 8
 53        ## Get firmware model & version
 54        driver_info = dev.Sys_getDriverInfo(timeout)
 55        print("Model name: " + driver_info[0])
 56        print("Firmware version: " + driver_info[-1])
 57
 58        ## Open AI
 59        err = dev.AI_open(port, timeout)
 60        print(f"AI_open in port {port}, status: {err}")
 61        
 62        ## Set AI channel
 63        err = dev.AI_enableChannel(port, channel, timeout)
 64        print(f"AI_enableChannel in port {port}, status: {err}")
 65
 66        ## Set AI acquisition mode to continuous mode (2)
 67        err = dev.AI_setMode(port, mode, timeout)
 68        print(f"AI_setMode {mode} in port {port}, status: {err}")
 69
 70        ## Set AI sampling rate
 71        err = dev.AI_setSamplingRate(port, sampling_rate, timeout)
 72        print(f"AI_setSamplingRate {sampling_rate} in port {port}, status: {err}")
 73
 74        ## Open AI streaming
 75        err = dev.AI_openStreaming(port, timeout)
 76        print(f"AI_openStreaming in port {port}, status: {err}")
 77
 78        ## Start AI streaming
 79        err = dev.AI_startStreaming(port, timeout)
 80        print(f"AI_startStreaming in port {port}, status: {err}")
 81
 82        ## Wait a while for data acquisition
 83        time.sleep(1)  ## delay [sec]
 84
 85        ## Close AI streaming
 86        err = dev.AI_closeStreaming(port, timeout)
 87        print(f"AI_closeStreaming in port {port}, status: {err}")
 88
 89        data_len = 1
 90        while data_len > 0:
 91            ## Read data acquisition
 92            ai_2Dlist = dev.AI_readStreaming(port, read_points, read_delay)
 93            print(f"Number of samples: {len(ai_2Dlist)}")
 94
 95            ## Update data len
 96            data_len = len(ai_2Dlist)
 97
 98        ## Close AI
 99        err = dev.AI_close(port, timeout)
100        print(f"AI_close in port {port}, status: {err}")
101    except Exception as err:
102        pywpc.printGenericError(err)
103
104    finally:
105        ## Disconnect device
106        dev.disconnect()
107
108        ## Release device handle
109        dev.close()
110
111
112if __name__ == '__main__':
113    main()