acrcustom.py

#!/usr/bin/env python
#-*- coding:utf-8 -*-

import os
import sys
import json
from acrcloud_scan_files_libary import ACRCloud_Scan_Files

if __name__ == "__main__":

    #ACRCloud Scan File Example
    is_debug = 0   #display the log info, or is_debug=0
    start_time = 0 #scan file start time(seconds)
    stop_time = 0  #scan file end time(seconds), or you can set it to the duration of file
    step = 30      #the length of each identified fragment (seconds)
    rec_length = step

    #your acrcloud project host, access_key, access_secret
    config = {
        "host": "identify-eu-west-1.acrcloud.com",
        "access_key":"YourKeyHere",
        "access_secret": "YourSecretHere"
    }
    #export dir
    export_dir = "./"

    filepath = sys.argv[1]

    acr_sfile = ACRCloud_Scan_Files(config, is_debug)

    stop_time = acr_sfile.get_duration_by_file(filepath)


    #get a list of recognition results
    result_list = acr_sfile.recognize_file(filepath, start_time, stop_time, step, rec_length)
    #export to csv
    export_filename_csv = filepath + ".csv"
    acr_sfile.export_to_csv(result_list, export_filename_csv, export_dir)
    #export to xlsx
    #export_filename_xlsx = filepath + ".xlsx"
    #acr_sfile.export_to_xlsx(result_list, export_filename_xlsx, export_dir)


    #iterator to get the result of each fragment
    result_list2 = []
    with open(filepath+"_raw_result.lst", "wb") as wfile:
        for item in acr_sfile.for_recognize_file(filepath, start_time, stop_time, step, rec_length):
            result_list2.append(item)
            filename = item["file"]
            timestamp = item["timestamp"]
            res = acr_sfile.parse_data(item["result"])
            title = item["title"]
            #title = res[2]
            print filename, timestamp, title
            wfile.write("{0}\n".format(json.dumps(item)))

    #get results with played-duration
    #filter_results = acr_sfile.apply_filter(result_list2)
    #export the results to xlsx
    #export_filtername_xlsx = filepath + "_with_duration.xlsx"
    #acr_sfile.export_to_xlsx(filter_results, export_filtername_xlsx, export_dir)