import sys
import os
sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), '..')))

from fastapi import FastAPI, Request, Form
from fastapi.responses import PlainTextResponse
from pydantic import BaseModel, Field
from agents.session import ask_jarvis, reset_cache
from enums.core_enums import ModelEnum
from config import DEFAULT_MODEL
import uvicorn

app = FastAPI(
    title="Jarvis API",
    description="API backend for Jarvis, an intelligent chatbot with support for multiple models and conversation memory.",
    version="1.0.0"
)

class AskInput(BaseModel):
    """
    Input data to make a query to the Jarvis assistant.
    """
    message: str = Field(..., description="Text message sent to Jarvis.")
    model_name: str = Field(default=DEFAULT_MODEL.name, description="Name of the model to use. Must match a valid value from the ModelEnum.")
    thread_id: str = Field(..., description="Conversation thread identifier to maintain context.")

@app.post("/ask", summary="Ask Jarvis", tags=["Main Interaction"])
async def ask_json(input_data: AskInput):
    """
    Send a question or message to Jarvis.

    This route processes a textual query and returns the response generated by the assistant.
    """
    model_enum = ModelEnum[input_data.model_name]
    answer = ask_jarvis(input_data.message, model_enum, input_data.thread_id)
    return {"response": answer}

@app.post("/whatsapp", summary="WhatsApp Webhook", tags=["Integrations"])
async def whatsapp_webhook(
    request: Request,
    Body: str = Form(..., description="Message received from WhatsApp."),
    From: str = Form(..., description="Sender's phone number."),
    ProfileName: str = Form(None, description="User profile name (optional).")
):
    """
    Incoming webhook for messages from WhatsApp.

    Uses the sender's number as the thread identifier to maintain the conversation.
    """
    model_enum = DEFAULT_MODEL
    thread_id = From
    responses = ask_jarvis(Body, model_enum, thread_id)
    response_text = "\n".join(responses)
    return PlainTextResponse(response_text)

@app.post("/reset", summary="Reset Memory", tags=["Utilities"])
async def reset_memory():
    """
    Clears the assistant's temporary memory.

    Useful to restart the context or begin a new conversation from scratch.
    """
    reset_cache()
    return {"status": "ok", "message": "Memory reset"}

if __name__ == "__main__":
    uvicorn.run("api.main_api:app", host="0.0.0.0", port=8000, reload=True)