KD/FINAL

import csv
import matplotlib.pyplot as plt
from datetime import datetime
import tkinter as tk
from tkinter import filedialog, ttk, messagebox

data = []

def create_tab(notebook, title):
    tab = ttk.Frame(notebook)
    notebook.add(tab, text=title)
    return tab

def load_csv():
    global data
    filepath = filedialog.askopenfilename(filetypes=[("CSV files", "*.csv")])
    if filepath:
        data = []
        try:
            with open(filepath, newline='', encoding='utf-8') as csvfile:
                reader = csv.DictReader(csvfile)
                for row in reader:
                    row['Datums'] = datetime.strptime(row['Datums'], '%Y-%m-%d')
                    row['Ieņēmumi'] = float(row['Ieņēmumi'])
                    row['Izdevumi'] = float(row['Izdevumi'])
                    data.append(row)
            display_data()
        except Exception as e:
            messagebox.showerror("Kļūda", f"Nevar nolasīt failu: {e}")
    else:
        messagebox.showerror("Kļūda", "Netika izvēlēts fails.")

def display_data():
    for row in table.get_children():
        table.delete(row)
    categories = set()
    
    for row in data:
        table.insert("", "end", values=(row["Datums"].strftime('%Y-%m-%d'), row["Kategorija"], row["Ieņēmumi"], row["Izdevumi"], row["Komentārs"]))
        categories.add(row["Kategorija"])

    category_combo["values"] = list(categories)
    if categories:
        category_combo.current(0)

def analyze_data():
    selected_category = category_combo.get()
    category_data = [row for row in data if row["Kategorija"] == selected_category]

    if not category_data:
        result_label.config(text="Nav datu šai kategorijai.")
        return
    
    avg_income = sum(row["Ieņēmumi"] for row in category_data) / len(category_data)
    avg_expense = sum(row["Izdevumi"] for row in category_data) / len(category_data)
    max_income = max(row["Ieņēmumi"] for row in category_data)
    min_income = min(row["Ieņēmumi"] for row in category_data)
    max_expense = max(row["Izdevumi"] for row in category_data)
    min_expense = min(row["Izdevumi"] for row in category_data)
    total_income = sum(row["Ieņēmumi"] for row in category_data)
    total_expense = sum(row["Izdevumi"] for row in category_data)

    analysis_result = (
        f"Vidējie ieņēmumi: {avg_income:.2f}\n"
        f"Vidējie izdevumi: {avg_expense:.2f}\n"
        f"Maksimālie ieņēmumi: {max_income}\n"
        f"Minimālie ieņēmumi: {min_income}\n"
        f"Maksimālie izdevumi: {max_expense}\n"
        f"Minimālie izdevumi: {min_expense}\n"
        f"Kopējie ieņēmumi: {total_income}\n"
        f"Kopējie izdevumi: {total_expense}"
    )
    
    result_label.config(text=analysis_result)

def plot_data():
    selected_category = category_combo.get()
    category_data = [row for row in data if row["Kategorija"] == selected_category]
    
    if not category_data:
        messagebox.showinfo("Grafiks", "Nav datu šai kategorijai.")
        return

    yearly_data = {}
    for row in category_data:
        year = row["Datums"].year
        if year not in yearly_data:
            yearly_data[year] = {"Ieņēmumi": 0, "Izdevumi": 0}
        yearly_data[year]["Ieņēmumi"] += row["Ieņēmumi"]
        yearly_data[year]["Izdevumi"] += row["Izdevumi"]

    years = sorted(yearly_data.keys())
    income = [yearly_data[year]["Ieņēmumi"] for year in years]
    expense = [yearly_data[year]["Izdevumi"] for year in years]

    plt.figure(figsize=(10, 6))
    plt.plot(years, income, label="Ieņēmumi", color="green", marker="o")
    plt.plot(years, expense, label="Izdevumi", color="red", marker="o")
    plt.title(f"{selected_category} - Ieņēmumi un izdevumi pa gadiem")
    plt.xlabel("Gads")
    plt.ylabel("Summa")
    plt.legend()
    plt.grid(True)
    plt.show()

root = tk.Tk()
root.title("Finanšu datu analīze pēc kategorijām")

notebook = ttk.Notebook(root)
notebook.pack(fill='both', expand=True)

tab1 = create_tab(notebook, "Datu ielāde")
table = ttk.Treeview(tab1, columns=("Datums", "Kategorija", "Ieņēmumi", "Izdevumi", "Komentārs"), show="headings")
table.heading("Datums", text="Datums")
table.heading("Kategorija", text="Kategorija")
table.heading("Ieņēmumi", text="Ieņēmumi")
table.heading("Izdevumi", text="Izdevumi")
table.heading("Komentārs", text="Komentārs")
table.pack(fill='both', expand=True)

load_button = tk.Button(tab1, text="Ielādēt failu", command=load_csv)
load_button.pack()

category_label = tk.Label(tab1, text="Izvēlieties kategoriju:")
category_label.pack()

category_combo = ttk.Combobox(tab1)
category_combo.pack()

tab2 = create_tab(notebook, "Datu analīze")

selected_category_label = tk.Label(tab2, text="", justify="left")
selected_category_label.pack(pady=10)

analyze_button = tk.Button(tab2, text="Analizēt", command=lambda: analyze_data())
analyze_button.pack(pady=20)

result_label = tk.Label(tab2, text="", justify="left")
result_label.pack(pady=10)

def update_selected_category():
    selected_category = category_combo.get()
    selected_category_label.config(text=f"Izvēlētā kategorija: {selected_category}")

category_combo.bind("<<ComboboxSelected>>", lambda _: update_selected_category())

tab3 = create_tab(notebook, "Grafiks")
plot_button = tk.Button(tab3, text="Zīmēt grafiku", command=plot_data)
plot_button.pack(pady=20)

root.mainloop()