AI_Task_Manager / app.py
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import streamlit as st
import pandas as pd
from datetime import datetime
import database as db
import sqlite3
import llm_handler
# --- Page Configuration ---
st.set_page_config(page_title="AI Task Manager", layout="centered", initial_sidebar_state="collapsed")
# --- Helper Functions ---
def initialize_session_state():
"""Initializes session state variables."""
if "user_name" not in st.session_state: st.session_state.user_name = ""
if "user_email" not in st.session_state: st.session_state.user_email = ""
if "logged_in" not in st.session_state: st.session_state.logged_in = False
if "llm" not in st.session_state:
try:
st.session_state.llm = llm_handler.get_llm()
except ValueError as e:
st.error(f"LLM Initialization Error: {e}. Please ensure GOOGLE_API_KEY is set in .env")
st.stop()
if "last_interacted_task_details" not in st.session_state:
st.session_state.last_interacted_task_details = None
if "chat_history_for_context" not in st.session_state:
st.session_state.chat_history_for_context = []
# --- Initialize ---
initialize_session_state()
db.create_db_and_table()
if "table_info" not in st.session_state or st.session_state.get("reload_table_info", False):
st.session_state.table_info = db.get_db_info()
st.session_state.reload_table_info = False
# --- UI Sections ---
if not st.session_state.logged_in:
st.title("AI Task Manager Login")
with st.form("login_form"):
name = st.text_input("Your Name", value=st.session_state.get("user_name_input", ""))
email = st.text_input("Your Email", value=st.session_state.get("user_email_input", ""))
login_button = st.form_submit_button("Login")
if login_button:
error_messages = []
if not name:
error_messages.append("Please enter your name.")
if not email:
error_messages.append("Please enter your email.")
elif not email.strip().lower().endswith(".com"):
error_messages.append("Invalid email format.")
if not error_messages:
st.session_state.user_name = name
st.session_state.user_email = email
st.session_state.logged_in = True
st.session_state.user_name_input = name
st.session_state.user_email_input = email
st.session_state.last_interacted_task_details = None
st.session_state.reload_table_info = True
st.rerun()
else:
for msg in error_messages:
st.error(msg)
else:
st.sidebar.header("User Info")
st.sidebar.write(f"πŸ‘€ **Name:** {st.session_state.user_name}")
st.sidebar.write(f"πŸ“§ **Email:** {st.session_state.user_email}")
if st.sidebar.button("Logout"):
st.session_state.logged_in = False
st.session_state.user_name = ""
st.session_state.user_email = ""
st.session_state.last_interacted_task_details = None
st.rerun()
st.title(f"πŸ“ AI Task Manager for {st.session_state.user_name}")
st.markdown("Enter your task command (e.g., 'I have a meeting at 2pm on next Friday' , 'Show pending tasks').")
if st.session_state.last_interacted_task_details:
task_ctx = st.session_state.last_interacted_task_details
# Prepare task context display message
task_name = task_ctx.get('task_name', 'N/A')
task_id = task_ctx.get('id', 'N/A')
due_date = task_ctx.get('due_date', '')
due_time = task_ctx.get('due_time', '')
ctx_display = f"Last task: '{task_name}' (ID: {task_id})"
if due_date:
ctx_display += f" - Due: {due_date}"
if due_time:
ctx_display += f" at {due_time}"
st.caption(ctx_display)
user_input_query = st.text_input("Your command:", key="task_input", placeholder="e.g., Add task 'Submit report' due next Friday 3pm category Work")
if st.button("Process Command", type="primary"):
if not user_input_query:
st.warning("Please enter a command.")
else:
llm = st.session_state.llm
table_info = st.session_state.table_info
context_str = "None"
if st.session_state.last_interacted_task_details:
details = st.session_state.last_interacted_task_details
context_list = []
if details.get('id'): context_list.append(f"id: {details['id']}")
if details.get('task_name'): context_list.append(f"name: '{details['task_name']}'")
if details.get('due_date'): context_list.append(f"due_date: {details['due_date']}")
if details.get('due_time'): context_list.append(f"due_time: {details['due_time']}")
context_str = f"Task context - {', '.join(context_list)}"
with st.spinner("πŸ€– Thinking and generating SQL..."):
try:
generated_sql = llm_handler.generate_sql_query(
llm,
user_input_query,
table_info,
st.session_state.user_name,
st.session_state.user_email,
context_str
)
except Exception as e:
st.error(f"Error generating SQL: {e}")
generated_sql = None
if generated_sql:
st.write("βš™οΈ **Generated SQL Query:**")
st.code(generated_sql, language="sql")
is_select_query = generated_sql.strip().upper().startswith("SELECT")
is_insert_query = generated_sql.strip().upper().startswith("INSERT")
with st.spinner("πŸ’Ύ Executing query..."):
try:
summary_context_for_llm = ""
if is_select_query:
data, columns = db.execute_select_query(generated_sql)
if data:
df = pd.DataFrame(data, columns=columns)
major_display_columns = ['id', 'task_name', 'status', 'category', 'due_date', 'due_time', 'created_at']
display_cols_in_df = [col for col in major_display_columns if col in df.columns]
if not display_cols_in_df and df.columns.any():
display_cols_in_df = df.columns.tolist()
if display_cols_in_df:
st.dataframe(df[display_cols_in_df], use_container_width=True)
else:
st.info("The query ran but returned no columns to display.")
summary_context_for_llm = f"Retrieved {len(data)} task(s)."
if len(data) == 1:
st.session_state.last_interacted_task_details = dict(zip(columns, data[0]))
elif len(data) == 0:
summary_context_for_llm = "No tasks found matching your criteria."
else:
st.info("No tasks found matching your criteria.")
summary_context_for_llm = "No tasks found matching your criteria."
st.session_state.last_interacted_task_details = None
else:
result = db.execute_dml_query(generated_sql)
action = "processed"
if is_insert_query:
action = "added"
if result:
inserted_task_details = db.get_task_by_id(result, st.session_state.user_email)
if inserted_task_details:
st.session_state.last_interacted_task_details = inserted_task_details
summary_context_for_llm = f"Task '{inserted_task_details.get('task_name')}' (ID: {result}) was {action}."
else:
summary_context_for_llm = f"Task was {action}, but details couldn't be retrieved post-insertion."
else:
summary_context_for_llm = f"Task addition was attempted but may not have completed as expected (no ID returned)."
elif "UPDATE" in generated_sql.upper():
action = "updated"
summary_context_for_llm = f"Task(s) {action}. {result} row(s) affected."
elif "DELETE" in generated_sql.upper():
action = "deleted"
summary_context_for_llm = f"Task(s) {action}. {result} row(s) affected."
st.session_state.last_interacted_task_details = None
st.success(f"Task command '{action}' processed successfully.")
with st.spinner("πŸ“œ Generating friendly summary..."):
final_summary = llm_handler.summarize_query_result(
llm,
user_input_query,
generated_sql,
summary_context_for_llm
)
st.markdown(f"**πŸ€– Summary:**\n {final_summary}")
except ValueError as ve:
st.error(f"⚠️ Action failed: {ve}")
except sqlite3.Error as e:
st.error(f"❌ Database Error: {e}")
st.error(f" Failed Query: {generated_sql}")
except Exception as e:
st.error(f"❌ An unexpected error occurred: {e}")
st.error(f" Query attempted: {generated_sql}")
elif not user_input_query.strip() == "":
st.error("Could not generate an SQL query for your request. Please try rephrasing.")
st.markdown("---")
st.markdown("Example commands:")
st.caption("""
- Add: "Schedule a 'Team sync meeting' for next Tuesday at 10:00 category Work"
- Add: "I have a 'Doctor's appointment' tomorrow at 3:30 PM"
- View: "Show my tasks for this week", "What's pending?"
- Update: "Mark 'Team sync meeting' as completed" (if it was the last task discussed)
- Update: "I've finished the 'Doctor's appointment'"
- Delete: "Cancel the 'Team sync meeting'"
- Delete: "Remove task 'Old project idea'"
""")