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#!/usr/bin/env python3
"""Simple CLI for AI-powered task extraction and printing."""
import os
from dotenv import load_dotenv
from src.task_card_generator import (
create_task_image,
create_task_pdf,
get_task_from_ai,
parse_ai_response,
print_to_thermal_printer,
)
from src.task_card_generator.html_generator import create_task_html_image
# Load environment variables
load_dotenv()
def main():
"""Main CLI entry point for task generation."""
print("=" * 50)
print("AI TASK GENERATOR")
print("Turn your thoughts into actionable tasks")
print("=" * 50)
# Get user task description
print("\nDescribe the task you need to complete:")
task_description = input(">> ")
if not task_description.strip():
print("ERROR: Please enter a valid task description!")
return
# Get AI response
print("\n🤖 Processing with AI...")
ai_response = get_task_from_ai(task_description)
if not ai_response or ai_response.startswith("Error"):
print(f"ERROR: {ai_response or 'Failed to get response'}")
return
# Parse AI response
task_data = parse_ai_response(ai_response)
print(f"\n✅ Generated Task: {task_data['title']}")
print(f"📌 Priority: {task_data['priority']}")
print(f"📅 Due: {task_data.get('due_date', 'Today')}")
# Create outputs
print("\n📄 Creating outputs...")
# Create PDF for viewing
pdf_path = create_task_pdf(task_data)
if pdf_path:
print(f" PDF saved: {pdf_path}")
# Create image for printing
image_path = create_task_html_image(task_data)
if not image_path:
# Fallback to PIL method
image_path = create_task_image(task_data)
if image_path:
print(f" Image saved: {image_path}")
# Print if printer is available
try:
print("\n🖨️ Sending to printer...")
print_to_thermal_printer(image_path)
print(" ✅ Printed successfully!")
except Exception as e:
print(f" ⚠️ Printing failed: {e}")
else:
print(" ❌ Could not create image")
print("\n" + "=" * 50)
print("Task generation complete!")
print("=" * 50)
if __name__ == "__main__":
main()