"""
main.py
────────
Entry point — runs the CLI chat loop.
Gradio frontend will replace this file in the next phase.
"""

from langchain_core.messages import HumanMessage
from app.graph.builder import build_graph
from app.state import AgentState


def main():
    graph = build_graph()
    thread_config = {"configurable": {"thread_id": "session-001"}}
    conversation_history = []

    print("\n🚀  LangGraph Agent ready. Type 'quit' to exit.")
    print("─" * 50)
    print("Try:")
    print("  • 'What is RAG?'              → RAG route")
    print("  • 'Calculate 15 * 8'          → Tool route")
    print("  • 'Weather in Pune'           → Tool route")
    print("  • 'Tell me a joke'            → General route")
    print("─" * 50 + "\n")

    while True:
        user_input = input("You: ").strip()
        if not user_input:
            continue
        if user_input.lower() in ("quit", "exit", "q"):
            print("Goodbye! 👋")
            break

        conversation_history.append(HumanMessage(content=user_input))

        initial_state: AgentState = {
            "messages":         conversation_history.copy(),
            "query":            user_input,
            "route":            "",
            "rag_context":      "",
            "tool_calls":       [],
            "tool_results":     [],
            "response":         "",
            "retry_count":      0,
            "hitl_approved":    False,
            "evaluation_score": 0.0,
            "guardrail_passed": True,
            "memory_summary":   "",
        }

        final_state = graph.invoke(initial_state, config=thread_config)
        conversation_history = final_state["messages"]


if __name__ == "__main__":
    main()