import os
import asyncio
import httpx
from fastapi import FastAPI, Request, Response, Header
from fastapi.responses import StreamingResponse
from dotenv import load_dotenv

load_dotenv()

app = FastAPI()

# Configuration from environment variables
MAIN_PC_URL = os.getenv("MAIN_PC_URL", "http://10.0.4.x:8080/v1")
LOCAL_SLM_URL = os.getenv("LOCAL_SLM_URL", "http://llama-slm:8080/v1")
OPENAI_URL = "https://api.openai.com/v1"
OPENAI_API_KEY = os.getenv("OPENAI_API_KEY", "")

# Health check endpoint for the Main PC
async def check_main_pc_health():
    try:
        # We check a simple endpoint or just attempt a connection to the base URL
        async with httpx.AsyncClient(timeout=2.0) as client:
            response = await client.get(f"{MAIN_PC_URL}/models")
            return response.status_code == 200
    except Exception:
        return False

@app.api_route("/{path:path}", methods=["GET", "POST", "PUT", "DELETE"])
async def proxy(
    request: Request, 
    path: str, 
    x_intelligence_level: str = Header(None)
):
    """
    Smart Proxy: Routes requests based on target availability and intelligence requirements.
    """
    target_url = None
    
    # 1. Check for "Turbo" (High Intelligence) request
    if x_intelligence_level == "High" and OPENAI_API_KEY:
        target_url = f"{OPENAI_URL}/{path}"
    
    # 2. Try Primary (Main PC)
    else:
        is_main_pc_online = await check_main_pc_health()
        if is_main_pc_online:
            target_url = f"{MAIN_PC_URL}/{path}"
        else:
            # 3. Fallback to Local SLM (on Docker host)
            target_url = f"{LOCAL_SLM_URL}/{path}"

    if not target_url:
        return Response(content="No valid target available (Main PC offline, SLM unavailable, and no OpenAI key)", status_code=503)

    # Prepare request for proxying
    body = await request.body()
    headers = dict(request.headers)
    
    # Update headers for the target
    headers.pop("host", None)
    headers.pop("content-length", None)
    if target_url.startswith("https://api.openai.com"):
        headers["Authorization"] = f"Bearer {OPENAI_API_KEY}"

    # Execute the request
    async def stream_generator():
        async with httpx.AsyncClient(timeout=60.0) as client:
            async with client.stream(
                request.method,
                target_url,
                content=body,
                headers=headers,
            ) as resp:
                async for chunk in resp.aiter_bytes():
                    yield chunk

    # Handle streaming responses (essential for LLM)
    accept_header = request.headers.get("accept", "")
    if "text/event-stream" in accept_header or "application/x-ndjson" in accept_header:
        return StreamingResponse(stream_generator(), status_code=200, background=None)
    
    # For non-streaming, we'll just use a simple proxy logic
    async with httpx.AsyncClient(timeout=60.0) as client:
        try:
            resp = await client.request(
                method=request.method,
                url=target_url,
                content=body,
                headers=headers,
            )
            return Response(
                content=resp.content,
                status_code=resp.status_code,
                headers=dict(resp.headers)
            )
        except Exception as e:
            return Response(content=str(e), status_code=500)

@app.get("/health")
async def health():
    return {"status": "router_online"}