import streamlit as st
from datetime import datetime, timedelta, time
import calendar
import pandas as pd
# Helper function to render the calendar for the selected month
def render_calendar(month, year):
st.write(f"### {calendar.month_name[month]} {year}")
weekdays = ["Mon", "Tue", "Wed", "Thu", "Fri", "Sat", "Sun"]
month_days = calendar.monthcalendar(year, month)
table = []
for week in month_days:
row = []
for day in week:
row.append(day if day != 0 else "")
table.append(row)
df = pd.DataFrame(table, columns=weekdays)
return df
# Display and interact with the tasks for a selected date
def log_task_for_date(selected_date):
if selected_date not in st.session_state:
st.session_state[selected_date] = []
st.write(f"### Tasks for {selected_date}")
task = st.text_input("Enter a task", key=f"task_input_{selected_date}")
category = st.selectbox("Select Category", ["Work", "Personal", "Urgent", "Other"], key=f"category_select_{selected_date}")
priority = st.selectbox("Select Priority", ["High", "Medium", "Low"], key=f"priority_select_{selected_date}")
due_date = st.date_input("Select Due Date", min_value=datetime.today(), key=f"due_date_input_{selected_date}")
# Custom time selection with 24-hour dropdown
time_options = [time(hour=h, minute=m).strftime("%H:%M") for h in range(24) for m in (0, 30)]
selected_time_str = st.selectbox(
"Select Due Time",
options=time_options,
index=time_options.index("09:00"),
key=f"due_time_input_{selected_date}"
)
due_time = datetime.strptime(selected_time_str, "%H:%M").time()
if st.button("Add Task", key=f"add_task_button_{selected_date}"):
task_info = {
"task": task,
"category": category,
"priority": priority,
"due_date": str(due_date),
"due_time": str(due_time),
"completed": False,
}
if task_info not in st.session_state[selected_date]:
st.session_state[selected_date].append(task_info)
st.success("Task added!")
else:
st.warning("Task already exists!")
if st.session_state[selected_date]:
st.write("**Current Tasks:**")
task_df = pd.DataFrame(st.session_state[selected_date])
task_df = task_df.sort_values(by=["priority", "due_date", "due_time"], ascending=[True, True, True])
for idx, row in task_df.iterrows():
task_str = f"{row['task']} - Category: {row['category']} | Priority: {row['priority']} | Due: {row['due_date']} {row['due_time']}"
if row['completed']:
task_str = f"✅ {task_str}"
st.write(task_str)
mark_as_completed = st.checkbox(
f"Mark as completed",
key=f"complete_{selected_date}_{idx}",
value=row['completed']
)
if mark_as_completed and not row['completed']:
st.session_state[selected_date][idx]["completed"] = True
st.success(f"Task '{row['task']}' marked as completed!")
# Search and view tasks by date without needing to type
def view_tasks_by_date():
st.write("## 🔍 View Tasks by Date")
selected = st.date_input("Pick a Date to View Tasks", value=datetime.today())
selected_str = str(selected)
tasks = st.session_state.get(selected_str, [])
if tasks:
st.write(f"### Tasks for {selected_str}")
for idx, task in enumerate(tasks):
with st.expander(f"{'✅ ' if task['completed'] else ''}{task['task']}"):
st.write(f"**Category:** {task['category']}")
st.write(f"**Priority:** {task['priority']}")
st.write(f"**Due Date:** {task['due_date']}")
st.write(f"**Due Time:** {task['due_time']}")
st.write(f"**Completed:** {'Yes ✅' if task['completed'] else 'No ❌'}")
else:
st.info("No tasks logged for this date.")
# Highlight today's date
def highlight_today(month, year):
today = datetime.today()
if today.month == month and today.year == year:
return today.day
return None
# Generate CSV data for tasks
def get_task_csv(scope, selected_date):
tasks = []
for date, task_list in st.session_state.items():
if isinstance(task_list, list):
if scope == "day" and date == selected_date:
tasks.extend(task_list)
elif scope == "month" and date.startswith(selected_date[:7]):
tasks.extend(task_list)
elif scope == "year" and date.startswith(selected_date[:4]):
tasks.extend(task_list)
df = pd.DataFrame(tasks)
return df.to_csv(index=False)
# Main Streamlit app with sidebar
def main():
# Apply custom CSS to set light grey background
st.markdown(
"""
""",
unsafe_allow_html=True
)
st.title("📅 Dynamic Calendar & Task Logger")
# Sidebar for navigation
st.sidebar.title("Navigation")
app_mode = st.sidebar.radio("Choose an Option", ("Log Tasks", "View Tasks", "Download Task Data"))
# Connect with Me Section
st.sidebar.markdown("## 👨💻 Connect with Me")
st.sidebar.markdown("""
""", unsafe_allow_html=True)
if "initialized" not in st.session_state:
st.session_state.initialized = True
today = datetime.today()
month = st.selectbox("Select Month", list(range(1, 13)), index=today.month - 1)
year = st.selectbox("Select Year", list(range(today.year - 5, today.year + 6)), index=5)
calendar_df = render_calendar(month, year)
today_day = highlight_today(month, year)
for col in calendar_df.columns:
calendar_df[col] = calendar_df[col].apply(lambda x: f"**{x}**" if x == today_day else x)
st.table(calendar_df)
selected_date = st.date_input("Select a Date to Add Tasks", today)
if app_mode == "Log Tasks":
log_task_for_date(str(selected_date))
elif app_mode == "View Tasks":
view_tasks_by_date()
elif app_mode == "Download Task Data":
col1, col2, col3 = st.columns(3)
with col1:
st.download_button(
"Download for Day 📅",
data=get_task_csv("day", str(selected_date)),
file_name=f"tasks_day_{selected_date}.csv",
mime="text/csv"
)
with col2:
st.download_button(
"Download for Month 🗓️",
data=get_task_csv("month", str(selected_date)),
file_name=f"tasks_month_{selected_date.strftime('%Y-%m')}.csv",
mime="text/csv"
)
with col3:
st.download_button(
"Download for Year 📆",
data=get_task_csv("year", str(selected_date)),
file_name=f"tasks_year_{selected_date.strftime('%Y')}.csv",
mime="text/csv"
)
if __name__ == "__main__":
main()
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Kaggle
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