Merge branch 'master' of https://git.wmi.amu.edu.pl/s478989/Projekt_wyceny_mieszkan
This commit is contained in:
commit
6feee7a0ce
@ -1,7 +1,32 @@
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from tkinter import *
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import joblib
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import pandas as pd
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root = Tk()
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def calculate_price():
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# Get the selected values and entry input
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stan = selected_stan.get()
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liczba_pokoi = selected_liczba_pokoi.get()
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metraz = entry1.get()
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rynek = selected_rynek.get()
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# Create a dictionary with the data
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data = {'stan': [stan], 'l pokoi': [liczba_pokoi], 'metraż': [metraz], 'rynek': [rynek]}
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# Create a DataFrame from the dictionary
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X = pd.DataFrame(data)
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# Load the model and make predictions
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loaded_model = joblib.load('ridge_model.sav')
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result = loaded_model.predict(X)
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result = result / float(metraz)
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# Display the result
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result_label.config(text=f"Predicted Price: {result[0]:.2f} PLN")
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result_label.grid(row=6, column=1, padx=10, pady=5)
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root.geometry("500x500")
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root.title("Mieszkaneo")
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@ -15,7 +40,7 @@ entry1.grid(row=1, column=0, padx=10, pady=5)
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label2 = Label(root, text="Rynek", font=('Arial', 18))
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label2.grid(row=0, column=1, padx=10, pady=5)
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rynek_options = ["Pierwotny", "Wtórny"]
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rynek_options = ["pierwotny", "wtórny"]
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selected_rynek = StringVar()
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selected_rynek.set(rynek_options[0])
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@ -25,7 +50,7 @@ rynek_menu.grid(row=1, column=1, padx=10, pady=5)
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label3 = Label(root, text="Stan", font=('Arial', 18))
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label3.grid(row=2, column=0, padx=10, pady=5)
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stan_options = ["Do remontu", "Wykończone"]
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stan_options = ["do zamieszkania", "do wykończenia","do remontu"]
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selected_stan = StringVar()
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selected_stan.set(stan_options[0])
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@ -43,8 +68,12 @@ liczba_pokoi_menu = OptionMenu(root, selected_liczba_pokoi, *liczba_pokoi_option
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liczba_pokoi_menu.config(font=('Arial', 18), bg='white', fg='black') # Kolory tła i tekstu
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liczba_pokoi_menu.grid(row=3, column=1, padx=10, pady=5)
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button = Button(root, text="Oblicz cenę mieszkania", font=('Arial', 18))
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button = Button(root, text="Oblicz cenę mieszkania", font=('Arial', 18), command=calculate_price)
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button.config(bg='green', fg='white') # Kolory tła i tekstu
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button.grid(row=4, columnspan=2, padx=10, pady=10)
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result_label = Label(root, text="", font=('Arial', 18))
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result_label.grid(row=5, columnspan=2, padx=10, pady=5)
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root.mainloop()
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23
Jenkinsfile
vendored
Normal file
23
Jenkinsfile
vendored
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@ -0,0 +1,23 @@
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pipeline {
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agent {
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docker { image 'python:3.10.6-slim-bullseye' }
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}
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stages {
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stage('Build') {
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steps {
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echo 'Building..'
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}
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}
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stage('Test') {
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steps {
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sh 'check_flat_price.py'
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}
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}
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stage('Deploy') {
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steps {
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echo 'Deploying....'
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}
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}
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}
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}
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8
check_flat_price.py
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8
check_flat_price.py
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import pandas as pd
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import numpy as np
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ceny = pd.read_csv('expected.tsv', sep='\t', header=None)
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for cena in ceny:
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if cena < 0:
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print("cena ujemna, sprawdz cene")
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