"""
Phase 1 Example: Simple single persona query

This example demonstrates the basic functionality of querying
a single persona about an urban planning topic.
"""

import sys
from pathlib import Path

# Add parent directory to path
sys.path.insert(0, str(Path(__file__).parent.parent))

from src.pipeline.query_engine import QueryEngine


def main():
    print("=" * 70)
    print("Phase 1 Example: Single Persona Query")
    print("=" * 70)
    print()

    # Initialize the query engine
    print("Initializing system...")
    engine = QueryEngine()

    # Test system
    print("\nTesting system components...")
    if not engine.test_system():
        print("System test failed. Please check your configuration.")
        return

    print("\n" + "=" * 70)
    print()

    # Define a planning question
    question = "What do you think about the proposed bike lane on Main Street?"

    # Query Sarah Chen (the progressive urban planner)
    print(f"Question: {question}")
    print("\nQuerying persona: Sarah Chen (Urban Planner)")
    print("-" * 70)

    response = engine.query(
        persona_id="sarah_chen",
        question=question,
        context_id="downtown_district",
    )

    print(f"\n{response.persona_name} responds:")
    print(f"\n{response.response}")
    print()
    print("-" * 70)
    print(f"Generated at: {response.timestamp}")
    print(f"Model: {response.model_used}")
    print()


if __name__ == "__main__":
    main()