#!/usr/bin/env python3
"""
STARBOY PRIME Local OpenAI-Compatible Proxy Sidecar.
Exposes standard OpenAI endpoint on localhost and routes to ZeroGPU Space.
"""

import os
import sys
import json
import time
import argparse
import uvicorn
from fastapi import FastAPI, Request, HTTPException
from fastapi.middleware.cors import CORSMiddleware
from fastapi.responses import JSONResponse, StreamingResponse
from pydantic import BaseModel
from typing import List, Optional

from safe_client import SafeZeroGPUClient, ZeroGPUQuotaError, ZeroGPURateLimitError


UPSTREAM_URL = os.environ.get("STARBOY_UPSTREAM_URL", "https://starboy001-antigravity-cloud.hf.space")
UPSTREAM_KEY = os.environ.get("STARBOY_API_KEY", "starboy2026")
DEFAULT_MODEL = os.environ.get("MODEL_ID", "BlossomsAI/Qwen2.5-Coder-7B-Instruct-Uncensored")

client = SafeZeroGPUClient(base_url=UPSTREAM_URL, api_key=UPSTREAM_KEY, model=DEFAULT_MODEL)

proxy_app = FastAPI(
    title="STARBOY PRIME OpenAI Proxy",
    description="Local OpenAI-compatible sidecar for ZeroGPU Flash LLM",
    version="1.0.0"
)

proxy_app.add_middleware(
    CORSMiddleware,
    allow_origins=["*"],
    allow_credentials=True,
    allow_methods=["*"],
    allow_headers=["*"],
)


class ChatMessage(BaseModel):
    role: str
    content: str


class ChatCompletionRequest(BaseModel):
    model: Optional[str] = None
    messages: List[ChatMessage]
    max_tokens: Optional[int] = 512
    max_new_tokens: Optional[int] = None
    temperature: Optional[float] = 0.7
    top_p: Optional[float] = 0.9
    stream: Optional[bool] = False


@proxy_app.get("/health")
async def health():
    upstream_health = client.health_check()
    return {
        "status": "healthy",
        "proxy": "starboy-openai-proxy",
        "upstream_url": UPSTREAM_URL,
        "upstream_status": upstream_health.get("status", "unknown"),
        "timestamp": time.time()
    }


@proxy_app.get("/v1/models")
async def list_models():
    return {
        "object": "list",
        "data": [
            {
                "id": DEFAULT_MODEL,
                "object": "model",
                "created": 1700000000,
                "owned_by": "starboy-prime"
            }
        ]
    }


@proxy_app.post("/v1/chat/completions")
async def chat_completions(req: ChatCompletionRequest):
    max_tokens = req.max_new_tokens if req.max_new_tokens is not None else (req.max_tokens or 512)
    temp = req.temperature if req.temperature is not None else 0.7
    top_p = req.top_p if req.top_p is not None else 0.9
    messages_payload = [{"role": m.role, "content": m.content} for m in req.messages]
    model_name = req.model or DEFAULT_MODEL

    if req.stream:
        def stream_generator():
            created = int(time.time())
            req_id = f"chatcmpl-{os.urandom(6).hex()}"
            try:
                for token in client.stream_chat(messages_payload, max_tokens=max_tokens, temperature=temp, top_p=top_p):
                    chunk_obj = {
                        "id": req_id,
                        "object": "chat.completion.chunk",
                        "created": created,
                        "model": model_name,
                        "choices": [{"index": 0, "delta": {"content": token}, "finish_reason": None}]
                    }
                    yield f"data: {json.dumps(chunk_obj)}\n\n"

                final_chunk = {
                    "id": req_id,
                    "object": "chat.completion.chunk",
                    "created": created,
                    "model": model_name,
                    "choices": [{"index": 0, "delta": {}, "finish_reason": "stop"}]
                }
                yield f"data: {json.dumps(final_chunk)}\n\n"
                yield "data: [DONE]\n\n"
            except ZeroGPUQuotaError as q_err:
                err_chunk = {"error": {"message": str(q_err), "type": "quota_exceeded", "code": 402}}
                yield f"data: {json.dumps(err_chunk)}\n\n"
            except Exception as e:
                err_chunk = {"error": {"message": str(e), "type": "upstream_error", "code": 500}}
                yield f"data: {json.dumps(err_chunk)}\n\n"

        return StreamingResponse(
            stream_generator(),
            media_type="text/event-stream",
            headers={"Cache-Control": "no-cache", "X-Accel-Buffering": "no"}
        )

    try:
        content = client.chat_completion(messages_payload, max_tokens=max_tokens, temperature=temp, top_p=top_p)
        created = int(time.time())
        req_id = f"chatcmpl-{os.urandom(6).hex()}"
        return JSONResponse({
            "id": req_id,
            "object": "chat.completion",
            "created": created,
            "model": model_name,
            "choices": [
                {
                    "index": 0,
                    "message": {"role": "assistant", "content": content},
                    "finish_reason": "stop"
                }
            ],
            "usage": {
                "prompt_tokens": len(str(messages_payload)) // 4,
                "completion_tokens": len(content) // 4,
                "total_tokens": (len(str(messages_payload)) + len(content)) // 4
            }
        })
    except ZeroGPUQuotaError as q_err:
        raise HTTPException(status_code=402, detail=str(q_err))
    except ZeroGPURateLimitError as r_err:
        raise HTTPException(status_code=429, detail=str(r_err))
    except Exception as exc:
        raise HTTPException(status_code=500, detail=str(exc))


if __name__ == "__main__":
    parser = argparse.ArgumentParser(description="STARBOY PRIME OpenAI Proxy Sidecar")
    parser.add_argument("--host", default="127.0.0.1", help="Host to bind to")
    parser.add_argument("--port", type=int, default=8080, help="Port to bind to")
    args = parser.parse_args()
    uvicorn.run(proxy_app, host=args.host, port=args.port)