ASWI - Pokročilé softwarové inženýrství » ASWI 2020 » Aplikace nad otevřenými daty (KIV) – BHVS

h1. DatasetProcessing

Složka obsahuje implementace processoru pro jednotlivé datasety. Processory jsou dynamicky importovány je tedy proto nutné dodržet pojemnování *"dataset-name"_processor.py*.

Připravený date_dic naplně následovně

date_dict klíč -> datum ve formát YYYY-mm-dd-hh

date_dict hodnota -> data_dict (další dictionary)

data_dict klíč -> název zařízení

data_dict hodnota -> CSVUtils.CSVDataline

*při tvorbě CSVUtils.CSVDataline probíhá kontrola validity dat.

při exportu dat do CSV se následně kontroluje jestli objekty jsou provadu ze třídy CSVUtils.csv_data_line!!*

Po implementování metody je nutné změnit *Return None* na *Return date_dict*

h2. Generovaný Processor

<pre>

from Utilities.CSV import csv_data_line

def process_file(filename):

    """

    Method that take path to crawled file and outputs date dictionary:

    Date dictionary is a dictionary where keys are dates in format YYYY-mm-dd-hh (2018-04-08-15)

    and value is dictionary where keys are devices (specified in configuration file)

    and value is CSVDataLine.csv_data_line with device,date and occurrence

    Args:

    filename: name of processed file

    Returns:

    None if not implemented

    date_dict when implemented

    """

    date_dict = dict()

    #with open(filename, "r") as file:

    print("You must implements process_file method first!")

    return None

</pre>

h2. Vzorově implementovaný processor

<pre>

from Utilities.CSV import csv_data_line

from Utilities import date_formating

def process_file(filename):

    """

    Method that take path to crawled file and outputs date dictionary:

    Date dictionary is a dictionary where keys are dates in format YYYY-mm-dd-hh (2018-04-08-15)

    and value is dictionary where keys are devices (specified in configuration file)

    and value is CSVDataLine.csv_data_line with device,date and occurrence

    Args:

    filename: name of processed file

    Returns:

    None if not implemented

    date_dict when implemented

    """

    date_dict = dict()

    with open(filename, "r") as file:

        for line in file:

            array = line.split(";")

            date = date_formating.date_time_formatter(array[0][1:-1])

            name = array[1][1:-1]

            if date not in date_dict:

                date_dict[date] = dict()

            if name in date_dict[date]:

                date_dict[date][name].occurrence += 1

            else:

                date_dict[date][name] = csv_data_line.CSVDataLine(name, date, 1)

    return date_dict

</pre>