Spaces:
Sleeping
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0919209
1
Parent(s):
f3cbe6f
Create app.py
Browse files
app.py
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import calendar # Core Python Module
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from datetime import datetime # Core Python Module
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import plotly.graph_objects as go # pip install plotly
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import streamlit as st # pip install streamlit
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from streamlit_option_menu import option_menu # pip install streamlit-option-menu
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import database as db # local import
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# # -------------- SETTINGS --------------
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incomes = ["Salary", "Blog", "Other Income"]
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expenses = ["Rent", "Utilities", "Groceries", "Car", "Other Expenses", "Saving"]
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currency = "USD"
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page_title = "Income and Expense Tracker"
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page_icon = ":money_with_wings:" # emojis: https://www.webfx.com/tools/emoji-cheat-sheet/
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layout = "centered"
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# # --------------------------------------
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st.set_page_config(page_title=page_title, page_icon=page_icon, layout=layout)
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st.title(page_title + " " + page_icon)
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# # --- DROP DOWN VALUES FOR SELECTING THE PERIOD ---
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years = [datetime.today().year, datetime.today().year + 1]
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months = list(calendar.month_name[1:])
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# # # --- DATABASE INTERFACE --- Data Key: a0yqzckztju_L4gxuEg2cSQWAsaE8digGs8pgfhNTAdn
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def get_all_periods():
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items = db.fetch_all_periods()
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periods = [item["key"] for item in items]
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return periods
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# # # --- HIDE STREAMLIT STYLE ---
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hide_st_style = """
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<style>
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#MainMenu {visibility: hidden;}
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footer {visibility: hidden;}
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header {visibility: hidden;}
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</style>
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"""
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st.markdown(hide_st_style, unsafe_allow_html=True)
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# # # --- NAVIGATION MENU ---
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selected = option_menu(
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menu_title=None,
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options=["Data Entry", "Data Visualization"],
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icons=["pencil-fill", "bar-chart-fill"], # https://icons.getbootstrap.com/
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orientation="horizontal",
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)
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# # # --- INPUT & SAVE PERIODS ---
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if selected == "Data Entry":
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st.header(f"Data Entry in {currency}")
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with st.form("entry_form", clear_on_submit=True):
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col1, col2 = st.columns(2)
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col1.selectbox("Select Month:", months, key="month")
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col2.selectbox("Select Year:", years, key="year")
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"---"
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with st.expander("Income"):
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for income in incomes:
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st.number_input(f"{income}:", min_value=0, format="%i", step=10, key=income)
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with st.expander("Expenses"):
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for expense in expenses:
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st.number_input(f"{expense}:", min_value=0, format="%i", step=10, key=expense)
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with st.expander("Comment"):
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comment = st.text_area("", placeholder="Enter a comment here ...")
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"---"
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submitted = st.form_submit_button("Save Data")
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if submitted:
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period = str(st.session_state["year"]) + "_" + str(st.session_state["month"])
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incomes = {income: st.session_state[income] for income in incomes}
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expenses = {expense: st.session_state[expense] for expense in expenses}
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db.insert_period(period, incomes, expenses, comment)
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st.success("Data saved!")
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# # --- PLOT PERIODS ---
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if selected == "Data Visualization":
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st.header("Data Visualization")
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with st.form("saved_periods"):
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period = st.selectbox("Select Period:", get_all_periods())
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submitted = st.form_submit_button("Plot Period")
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if submitted:
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# Get data from database
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period_data = db.get_period(period)
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comment = period_data.get("comment")
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expenses = period_data.get("expenses")
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incomes = period_data.get("incomes")
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# Create metrics
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total_income = sum(incomes.values())
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total_expense = sum(expenses.values())
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remaining_budget = total_income - total_expense
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col1, col2, col3 = st.columns(3)
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col1.metric("Total Income", f"{total_income} {currency}")
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col2.metric("Total Expense", f"{total_expense} {currency}")
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col3.metric("Remaining Budget", f"{remaining_budget} {currency}")
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st.text(f"Comment: {comment}")
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# # Create sankey chart
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label = list(incomes.keys()) + ["Total Income"] + list(expenses.keys())
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source = list(range(len(incomes))) + [len(incomes)] * len(expenses)
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target = [len(incomes)] * len(incomes) + [label.index(expense) for expense in expenses.keys()]
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value = list(incomes.values()) + list(expenses.values())
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# # Data to dict, dict to sankey
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link = dict(source=source, target=target, value=value)
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node = dict(label=label, pad=20, thickness=30, color="#198AAF")
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data = go.Sankey(link=link, node=node)
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# # Plot it!
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fig = go.Figure(data)
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fig.update_layout(margin=dict(l=0, r=0, t=5, b=5))
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st.plotly_chart(fig, use_container_width=True)
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