IslandT: Create an application with python to record sales

In the previous article, I have created an application with python to record sales for various items. In this article, I have slightly modified the previous program to remove some errors in the code as well as included a button that will plot the graph for all the item sales during the month of January.

Below is the manual to use this application.

The application used to record sales

Submit the sale amount:

• Select the item in either the shoe or the shirt category under the Shoe Sale or Shirt Sale section.
• Select the earning and location.
• Press either the Shirt Sale or the Shoe Sale’s submit button to submit the sale amount to the database.

Plotting the sale amount:

• Press any of the three buttons under the Plotting Graph section to plot the graph for shoe, shirt or all those items.

These are the line of codes for the application user interface.

import tkinter as tk
from tkinter import ttk

from Input import Input

win = tk.Tk()

win.title("Earn Great")

def submit(cc): # commit the data into earning table
    if(cc=="Shoe"):
        sub_mit.submit(shoe_type.get(), earning.get(), location.get(), cc)
    elif(cc=='Shirt'):
        sub_mit.submit(shirt_type.get(), earning.get(), location.get(), cc)
    else:
        print("You need to enter a value!")

#create label frame for the shoe ui
shoe_frame= ttk.Labelframe(win, text ="Shoe Sale")
shoe_frame.grid(column=0, row=0, padx=4, pady=4, sticky='w')
# create combo box for the shoe type
shoe_type = tk.StringVar()
shoe_combo = ttk.Combobox(shoe_frame, width=9, textvariable = shoe_type)
shoe_combo['values']  = ('Baby Girl', 'Baby Boy', 'Boy', 'Girl', 'Man', 'Woman')
shoe_combo.current(0)
shoe_combo.grid(column=0, row=0)
# create the submit button for shoe type
action_shoe = ttk.Button(shoe_frame, text="submit", command= lambda: submit("Shoe"))
action_shoe.grid(column=1, row=0)

#create label frame for the shirt ui
shirt_frame= ttk.Labelframe(win, text ="Shirt Sale")
shirt_frame.grid(column=0, row=1, padx=4, pady=4, sticky='w')
# create combo box for the shirt type
shirt_type = tk.StringVar()
shirt_combo = ttk.Combobox(shirt_frame, width=16, textvariable = shirt_type)
shirt_combo['values']  = ('T-Shirt', 'School Uniform', 'Baby Cloth', 'Jacket', 'Blouse', 'Pajamas')
shirt_combo.current(0)
shirt_combo.grid(column=0, row=0)
# create the submit button for shirt type
action_shirt = ttk.Button(shirt_frame, text="submit", command= lambda: submit("Shirt"))
action_shirt.grid(column=1, row=0)

#create label frame for the earning ui
earning_frame= ttk.Labelframe(win, text ="Earning")
earning_frame.grid(column=1, row=0, padx=4, pady=4, sticky='w')

# create combo box for the shoe earning
earning = tk.StringVar()
earn_combo = ttk.Combobox(earning_frame, width=9, textvariable = earning)
earn_combo['values']  = ('1.00', '2.00', '3.00', '4.00', '5.00', '6.00', '7.00', '8.00', '9.00', '10.00')
earn_combo.current(0)
earn_combo.grid(column=0, row=0)

#create label frame for the location ui
location_frame= ttk.Labelframe(win, text ="Location")
location_frame.grid(column=1, row=1, padx=4, pady=4, sticky='w')

# create combo box for the sale location
location = tk.StringVar()
location_combo = ttk.Combobox(location_frame, width=13, textvariable = location)
location_combo['values']  = ('Down Town', 'Market', 'Bus Station', 'Beach', 'Tea House')
location_combo.current(0)
location_combo.grid(column=0, row=0)


def plot(cc): # plotting the bar chart of total sales
    sub_mit.plot(location.get(), cc)

#create label frame for the plot graph ui
plot_frame= ttk.Labelframe(win, text ="Plotting Graph")
plot_frame.grid(column=0, row=2, padx=4, pady=4, sticky='w')

# create the plot button for shoe type
action_pshoe = ttk.Button(plot_frame, text="Shoe", command= lambda: plot("Shoe"))
action_pshoe.grid(column=1, row=0)
# create the plot button for shirt type
action_pshirt = ttk.Button(plot_frame, text="Shirt", command= lambda: plot("Shirt"))
action_pshirt.grid(column=2, row=0)
# create the plot button for all items
action_p_loc = ttk.Button(plot_frame, text="All Items", command= lambda: plot("All Items"))
action_p_loc.grid(column=3, row=0)

win.resizable(0,0)

sub_mit = Input()
sub_mit.setting()

win.mainloop()

Here are the codes for the database part.

import sqlite3
import pandas as pd
import matplotlib.pyplot as plt

class Input:
    def __init__(self):
        pass

    def setting(self):

        conn = sqlite3.connect('daily_earning.db')
        print("Opened database successfully")
        try:
            conn.execute('''CREATE TABLE DAILY_EARNING_CHART
                 (ID INTEGER PRIMARY KEY AUTOINCREMENT,
                 DESCRIPTION    TEXT (50)   NOT NULL,
                 EARNING    TEXT  NOT NULL,
                 TYPE TEXT NOT NULL,
                 LOCATION TEXT NOT NULL,
                 TIME   TEXT NOT NULL);''')
        except:
            pass

        conn.close()

    def submit(self,description, earning, location, cc): # Insert values into earning table

        self.description = description
        self.earning = earning
        self.location = location
        self.cc = cc
        try:
            sqliteConnection = sqlite3.connect('daily_earning.db')
            cursor = sqliteConnection.cursor()
            print("Successfully Connected to SQLite")
            sqlite_insert_query = "INSERT INTO DAILY_EARNING_CHART (DESCRIPTION,EARNING,TYPE, LOCATION, TIME) VALUES ('" + self.description + "','"+ self.earning +  "','" + self.cc +  "','" + self.location + "',datetime('now', 'localtime'))"
            count = cursor.execute(sqlite_insert_query)
            sqliteConnection.commit()
            print("Record inserted successfully into DAILY_EARNING_CHART table", cursor.rowcount)
            cursor.close()

        except sqlite3.Error as error:
            print("Failed to insert earning data into sqlite table", error)
        finally:
            if (sqliteConnection):
                sqliteConnection.close()

    def plot(self, location, cc): # plotting the bar chart
        try:
            shoe_dict = {'Baby Girl' : 0.00, 'Baby Boy' : 0.00, 'Boy':0.00, 'Girl':0.00, 'Man':0.00, 'Woman':0.00}
            shirt_dict = {'T-Shirt':0.00, 'School Uniform':0.00, 'Baby Cloth':0.00, 'Jacket':0.00, 'Blouse':0.00, 'Pajamas':0.00}
            sqliteConnection = sqlite3.connect('daily_earning.db')
            cursor = sqliteConnection.cursor()
            print("Successfully Connected to SQLite")
            if cc=='All Items':
                cursor.execute("SELECT * FROM DAILY_EARNING_CHART WHERE LOCATION=?", (location,))
            else:
                cursor.execute("SELECT * FROM DAILY_EARNING_CHART WHERE TYPE=? AND LOCATION=?", (cc, location))
            rows = cursor.fetchall()

            for row in rows:
                if cc=="Shoe":
                    shoe_dict[row[1]] += float(row[2])
                elif cc=="Shirt":
                    shirt_dict[row[1]] += float(row[2])
                elif cc=="All Items":
                    if row[1] in shoe_dict:
                        shoe_dict[row[1]] += float(row[2])
                    else:
                        shirt_dict[row[1]] += float(row[2])
            # dictionary for the graph axis
            label_x = []
            label_y = []

            if cc=="Shoe":
                for key, value in shoe_dict.items():
                    label_x.append(key)
                    label_y.append(value)
            elif cc=="Shirt":
                for key, value in shirt_dict.items():
                    label_x.append(key)
                    label_y.append(value)
            else:
                for key, value in shirt_dict.items():
                    label_x.append(key)
                    label_y.append(value)
                for key, value in shoe_dict.items():
                    label_x.append(key)
                    label_y.append(value)
            # begin plotting the bar chart
            s = pd.Series(index=label_x, data=label_y)
            s.plot(color="green", kind="bar", title = cc + " Sales for January at " + location)
            plt.show()

        except sqlite3.Error as error:
            print("Failed to plot earning data", error)
        finally:
            if (sqliteConnection):
                sqliteConnection.close()

You can also read the entire program on this Github page.

In the next article, we will create a combo box for the date selection or perhaps we don’t even need to do that because we can directly use the date which has already existed in the earning table, we will see.

The graph for all item sales in the month of January

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