149 lines
5.9 KiB
Python
149 lines
5.9 KiB
Python
import os
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from flask import Flask, redirect, url_for, request, render_template
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from matplotlib import pyplot as plt
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from LabWork01.AnalysCustomers import analysCustomersDataFrame
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from LabWork01.AnalysSales import analysSalesDataFrame
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from LabWork01.AnalysSalesCustomers import analysSalesCustomersDataFrame
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from LabWork01.DataFrameAnalys import analysItemsDataFrame
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from LabWork01.FuncLoad import createDataFrame
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from LabWork01.LabWork3.AddData import addData
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from LabWork01.LabWork3.CreateGraphics import createGraphics
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from LabWork01.LabWork3.CustomGraphics import createCusGraphics
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from LabWork01.LabWork3.DeletePng import deleteAllPng
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app = Flask(__name__)
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#сразу загружаем весь док, чтобы потом просто прыгать по нему
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listShops = createDataFrame()
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#список типов данных по столбцам
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listTypes = listShops.dtypes.to_list()
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#формируем записи о кол-ве пустых ячеек в каждом столбце
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countNull = listShops.isnull().sum()
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@app.route("/")
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def home():
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return render_template('main_page.html', context=[], main_img=[], image_names=[], tableAnalys=[], titles=[''], listTypes=listTypes, countNull=countNull, firstRow=1, secondRow=4, firstColumn=1, secondColumn=4)
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@app.route("/showDiapason", methods=['GET','POST'])
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def numtext():
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data = request.args
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#получаем срез и таблицы по введёным параметрам
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newListShops = listShops.iloc[int(data['firstRow'])-1:int(data['secondRow']), int(data['firstColumn']):int(data['secondColumn'])+1]
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_range = range(int(data['firstColumn']), int(data['secondColumn'])+1)
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#список списков для шаблона
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totalList = []
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print(countNull[1])
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#формирование 4-х списков для шаблонизатора
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if 1 in _range:
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listStoreArea = newListShops['Store_Area'].to_list()
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totalList.append(listStoreArea)
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if 2 in _range:
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listItemsAvailable = newListShops['Items_Available'].to_list()
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totalList.append(listItemsAvailable)
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if 3 in _range:
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listDailyCustomerCount = newListShops['Daily_Customer_Count'].to_list()
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totalList.append(listDailyCustomerCount)
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if 4 in _range:
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listStoreSales = newListShops['Store_Sales'].to_list()
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totalList.append(listStoreSales)
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if int(data['firstRow']) and int(data['secondRow']) and int(data['firstColumn']) and int(data['secondColumn']):
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return render_template('main_page.html', context=totalList, main_img=[], image_names=[], listTypes=listTypes, countNull=countNull,
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firstColumn=int(data['firstColumn']), secondColumn=int(data['secondColumn']),
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firstRow=int(data['firstRow']), secondRow=int(data['secondRow']))
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return home()
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#функция для проведения анализа данных
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@app.route("/analysis", methods=['GET', 'POST'])
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def analysis():
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firstAnalys = analysItemsDataFrame(listShops)
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secondAnalys = analysCustomersDataFrame(listShops)
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thirdAnalys = analysSalesDataFrame(listShops)
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fourthAnalys = analysSalesCustomersDataFrame(listShops)
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# удаляем все текущие диаграммы
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deleteAllPng()
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# начинаем создавать диаграммы
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createGraphics(firstAnalys, 'firstAn')
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createGraphics(secondAnalys, 'secondAn')
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createGraphics(thirdAnalys, 'thirdAn')
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createGraphics(fourthAnalys, 'fourthAn')
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# дополняем новыми значениями
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additionListShops = addData(createDataFrame())
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# получаем новые данные
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newfirstAnalys = analysItemsDataFrame(additionListShops)
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secondAnalys = analysCustomersDataFrame(additionListShops)
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thirdAnalys = analysSalesDataFrame(additionListShops)
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fourthAnalys = analysSalesCustomersDataFrame(additionListShops)
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# создаём новые диаграммы
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createGraphics(newfirstAnalys, 'addFirstAn')
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createGraphics(secondAnalys, 'addSecondAn')
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createGraphics(thirdAnalys, 'addThirdAn')
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createGraphics(fourthAnalys, 'addFourthAn')
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createCusGraphics(firstAnalys[0], newfirstAnalys[0])
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image_names_start = ['firstAn0.jpg', 'firstAn1.jpg', 'firstAn2.jpg',
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'secondAn0.jpg', 'secondAn1.jpg', 'secondAn2.jpg',
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'thirdAn0.jpg', 'thirdAn1.jpg', 'thirdAn2.jpg',
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'fourthAn0.jpg', 'fourthAn1.jpg', 'fourthAn2.jpg']
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image_names_addition = ['addFirstAn0.jpg', 'addFirstAn1.jpg', 'addFirstAn2.jpg',
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'addSecondAn0.jpg', 'addSecondAn1.jpg', 'addSecondAn2.jpg',
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'addThirdAn0.jpg', 'addThirdAn1.jpg', 'addThirdAn2.jpg',
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'addFourthAn0.jpg', 'addFourthAn1.jpg', 'addFourthAn2.jpg']
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main_img = ['CustomJPG0.jpg']
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result = listShops[['Store_Sales']]
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# Строим boxplot с использованием Seaborn
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plt.title('Valuation Boxplot by Store Sales')
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plt.xlabel('Store Sales')
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plt.boxplot(result['Store_Sales'])
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script_dir = os.path.dirname(__file__)
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results_dir = os.path.join(script_dir, 'static/')
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plt.savefig(results_dir + 'NewCustomJPG' + str(0) + '.jpg')
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newCustomJpg = ['NewCustomJPG0.jpg']
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return render_template('main_page.html', context=[], image_names_start=image_names_start,
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image_names_addition=image_names_addition,
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tableAnalysOne=[],
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tableAnalysTwo=[],
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tableAnalysThree=[],
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tableAnalysFour=[],
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main_img=newCustomJpg,
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titles=[''],
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listTypes=listTypes, countNull=countNull, firstRow=1,
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secondRow=4, firstColumn=1, secondColumn=4)
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if __name__=="__main__":
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app.run(debug=True)
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