"""
FastAPI Learning Assistant for Maryam & Zayn educational platform
"""
import os
from fastapi import FastAPI, HTTPException
from fastapi.middleware.cors import CORSMiddleware
from pydantic import BaseModel
from typing import List, Optional
from dotenv import load_dotenv

from agent import MaryamZaynChatbot

# Load environment variables
load_dotenv()

# Initialize FastAPI app
app = FastAPI(
    title="Maryam & Zayn Learning Assistant API",
    description="AI-powered learning assistant for Maryam & Zayn — Pakistan's first character-based educational platform",
    version="1.0.0"
)

# CORS configuration for frontend access
app.add_middleware(
    CORSMiddleware,
    allow_origins=["*"],  # Configure specific origins in production
    allow_credentials=True,
    allow_methods=["*"],
    allow_headers=["*"],
)

# Request/Response models
class ChatMessage(BaseModel):
    role: str
    content: str

class ChatRequest(BaseModel):
    message: str
    history: Optional[List[ChatMessage]] = []

class ChatResponse(BaseModel):
    response: str
    success: bool

# Initialize chatbot
chatbot = MaryamZaynChatbot()

@app.get("/")
async def root():
    """Health check endpoint"""
    return {
        "status": "online",
        "message": "Maryam & Zayn Learning Assistant is running",
        "version": "1.0.0"
    }

@app.get("/health")
async def health_check():
    """Health check for deployment monitoring"""
    return {"status": "healthy"}

@app.post("/chat", response_model=ChatResponse)
async def chat(request: ChatRequest):
    """
    Chat endpoint for learning questions

    - **message**: User's question about subjects or platform features
    - **history**: Optional conversation history for context
    """
    try:
        # Get response from chatbot agent
        response = await chatbot.chat(
            message=request.message,
            history=request.history
        )

        return ChatResponse(
            response=response,
            success=True
        )
    except Exception as e:
        raise HTTPException(
            status_code=500,
            detail=f"Error processing chat: {str(e)}"
        )

@app.get("/info")
async def get_info():
    """Get platform information"""
    return {
        "platform": "Maryam & Zayn",
        "tagline": "Pakistan's first character-based learning platform",
        "target": "Pakistani children in Classes 1–8 (ages 5–13)",
        "subjects": [
            "Urdu", "English", "Mathematics",
            "Islamiat", "General Knowledge", "Basic Science"
        ],
        "availability": ["Android", "iOS", "Web"]
    }

if __name__ == "__main__":
    import uvicorn
    uvicorn.run(
        "main:app",
        host="0.0.0.0",
        port=int(os.getenv("PORT", 7860)),
        reload=True
    )