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from Utilities.CSV import csv_data_line
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from Utilities import date_formating
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def process_file(filename):
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"""
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Method that take path to crawled file and outputs date dictionary:
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Date dictionary is a dictionary where keys are dates in format ddmmYYYYhh (0804201815)
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and value is dictionary where keys are devices (specified in configuration file)
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and value is CSVDataLine.csv_data_line with device,date and occurrence
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Args:
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filename: name of processed file
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Returns:
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None if not implemented
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date_dict when implemented
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"""
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date_dict = dict()
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with open(filename, "r", encoding="utf-8") as file:
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for line in file:
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array = line.split(";")
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date = date_formating.date_time_formatter(array[4][1:-2])
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name = array[1][1:-1]
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occurrence = array[0]
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if date not in date_dict:
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date_dict[date] = dict()
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if name in date_dict[date]:
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date_dict[date][name].occurrence += max(date_dict[date][name].occurrence,int(occurrence))
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else:
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date_dict[date][name] = csv_data_line.CSVDataLine(name, date, int(occurrence))
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return date_dict
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