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) 2022-2024 WPC Systems Ltd. All rights reserved.
 18'''
 19
 20## Python
 21import time
 22
 23## WPC
 24
 25from wpcsys import pywpc
 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 ## second
 51        timeout = 3 ## second
 52        channel = 8
 53
 54        # Get firmware model & version
 55        driver_info = dev.Sys_getDriverInfo(timeout)
 56        print("Model name: " + driver_info[0])
 57        print("Firmware version: " + driver_info[-1])
 58
 59        ## Open AI
 60        err = dev.AI_open(port, timeout)
 61        print(f"AI_open in port {port}, status: {err}")
 62        
 63        ## Set AI channel
 64        err = dev.AI_enableChannel(port, channel, timeout)
 65        print(f"AI_enableChannel in port {port}, status: {err}")
 66
 67        ## Set AI acquisition mode to continuous mode (2)
 68        err = dev.AI_setMode(port, mode, timeout)
 69        print(f"AI_setMode {mode} in port {port}, status: {err}")
 70
 71        ## Set AI sampling rate
 72        err = dev.AI_setSamplingRate(port, sampling_rate, timeout)
 73        print(f"AI_setSamplingRate {sampling_rate} in port {port}, status: {err}")
 74
 75        ## Open AI streaming
 76        err = dev.AI_openStreaming(port, timeout)
 77        print(f"AI_openStreaming in port {port}, status: {err}")
 78
 79        ## Start AI streaming
 80        err = dev.AI_startStreaming(port, timeout)
 81        print(f"AI_startStreaming in port {port}, status: {err}")
 82
 83        ## Wait a while for data acquisition
 84        time.sleep(1) ## delay [s]
 85
 86        ## Close AI streaming
 87        err = dev.AI_closeStreaming(port, timeout)
 88        print(f"AI_closeStreaming in port {port}, status: {err}")
 89
 90        data_len = 1
 91        while data_len > 0:
 92            ## Read data acquisition
 93            ai_2Dlist = dev.AI_readStreaming(port, read_points, read_delay)
 94            print(f"Number of samples: {len(ai_2Dlist)}" )
 95
 96            ## Update data len
 97            data_len = len(ai_2Dlist)
 98
 99        ## Close AI
100        err = dev.AI_close(port, timeout)
101        print(f"AI_close in port {port}, status: {err}")
102    except Exception as err:
103        pywpc.printGenericError(err)
104
105    ## Disconnect device
106    dev.disconnect()
107
108    ## Release device handle
109    dev.close()
110
111    return
112
113if __name__ == '__main__':
114    main()