#
# SPDX-FileCopyrightText: Hadad <hadad@linuxmail.org>
# SPDX-License-Identifier: Apache-2.0
#

import uuid
import time
import json
import asyncio
import logging
import os
from typing import Optional, List, Union, Dict, Any, Literal
from fastapi import FastAPI, HTTPException, Request, status
from fastapi.middleware.cors import CORSMiddleware
from fastapi.responses import StreamingResponse, JSONResponse
from pydantic import BaseModel, Field, ValidationError
from gradio_client import Client
from contextlib import asynccontextmanager
import httpx

logging.basicConfig(
    level=logging.INFO,
    format="%(asctime)s | %(levelname)s | %(name)s | %(threadName)s | %(message)s",
    handlers=[logging.StreamHandler()]
)
logger = logging.getLogger("api_gateway")

class SessionData:
    def __init__(self):
        self.system: str = ""
        self.history: List[Dict[str, Any]] = []
        self.last_access: float = time.time()
        self.active_tasks: Dict[str, asyncio.Task] = {}
        self.last_request_time: float = 0.0

class SessionManager:
    def __init__(self):
        self.sessions: Dict[str, Dict[str, SessionData]] = {}
        self.lock = asyncio.Lock()

    async def cleanup(self):
        while True:
            await asyncio.sleep(60)
            async with self.lock:
                now = time.time()
                expired = []
                for user, sessions in list(self.sessions.items()):
                    for sid, data in list(sessions.items()):
                        if now - data.last_access > 300:
                            expired.append((user, sid))
                            for task_id, task in data.active_tasks.items():
                                if not task.done():
                                    task.cancel()
                for user, sid in expired:
                    if user in self.sessions and sid in self.sessions[user]:
                        del self.sessions[user][sid]
                        if not self.sessions[user]:
                            del self.sessions[user]

    async def get_session(self, user: Optional[str], session_id: Optional[str]) -> (str, str, SessionData):
        async with self.lock:
            if not user:
                user = str(uuid.uuid4())
            if user not in self.sessions:
                self.sessions[user] = {}
            if not session_id or session_id not in self.sessions[user]:
                session_id = str(uuid.uuid4())
                self.sessions[user][session_id] = SessionData()
            session = self.sessions[user][session_id]
            session.last_access = time.time()
            return user, session_id, session

session_manager = SessionManager()

async def create_gradio_client_with_retry(url: str, max_retries: int = 3, backoff_factor: float = 0.5) -> Client:
    for attempt in range(max_retries):
        try:
            client = Client(url)
            _ = client.config
            return client
        except (httpx.ReadTimeout, httpx.ConnectTimeout, httpx.HTTPError, Exception) as e:
            logger.warning(f"Attempt {attempt+1}/{max_retries} failed to create Gradio client: {e}")
            await asyncio.sleep(backoff_factor * (2 ** attempt))
    raise RuntimeError("Failed to create Gradio client after retries")

async def refresh_client(app: FastAPI):
    while True:
        await asyncio.sleep(15 * 60)
        async with app.state.client_lock:
            try:
                if app.state.client is not None:
                    old_client = app.state.client
                    app.state.client = None
                    del old_client
                app.state.client = await create_gradio_client_with_retry("https://hadadrjt-ai.hf.space/")
                logger.info("Refreshed Gradio client connection")
            except Exception as e:
                logger.error(f"Error refreshing Gradio client: {e}", exc_info=True)
                app.state.client = None

async def clear_terminal_periodically():
    while True:
        await asyncio.sleep(300)
        if os.name == "nt":
            os.system("cls")
        else:
            print("\033c", end="", flush=True)

@asynccontextmanager
async def lifespan(app: FastAPI):
    app.state.session_manager = session_manager
    app.state.client = None
    app.state.client_lock = asyncio.Lock()
    try:
        app.state.client = await create_gradio_client_with_retry("https://hadadrjt-ai.hf.space/")
    except Exception as e:
        logger.error(f"Initial Gradio client creation failed: {e}", exc_info=True)
        app.state.client = None
    app.state.refresh_task = asyncio.create_task(refresh_client(app))
    app.state.cleanup_task = asyncio.create_task(session_manager.cleanup())
    app.state.clear_log_task = asyncio.create_task(clear_terminal_periodically())
    try:
        yield
    finally:
        app.state.refresh_task.cancel()
        app.state.cleanup_task.cancel()
        app.state.clear_log_task.cancel()
        await asyncio.sleep(0.1)

app = FastAPI(
    title="J.A.R.V.I.S. OpenAI-Compatible API",
    version="2.1.3-0625",
    lifespan=lifespan,
)

app.add_middleware(
    CORSMiddleware,
    allow_origins=["*"],
    allow_methods=["GET", "POST", "OPTIONS", "HEAD"],
    allow_headers=["*"],
)

class Function(BaseModel):
    name: str
    description: Optional[str]
    parameters: Dict[str, Any]

class Tool(BaseModel):
    type: Literal["function"] = "function"
    function: Function

class ToolCall(BaseModel):
    id: str
    type: Literal["function"]
    function: Dict[str, str]

class Message(BaseModel):
    role: str = Field(..., pattern="^(system|user|assistant|tool|function)$")
    content: Optional[Union[str, List[Dict[str, Any]]]]
    name: Optional[str] = None
    tool_calls: Optional[List[ToolCall]] = None
    tool_call_id: Optional[str] = None

class CommonParams(BaseModel):
    model: str
    stream: bool = False
    user: Optional[str] = None
    session_id: Optional[str] = None
    top_p: Optional[float] = None
    top_k: Optional[int] = None
    temperature: Optional[float] = None
    max_tokens: Optional[int] = None
    max_new_tokens: Optional[int] = None
    presence_penalty: Optional[float] = None
    frequency_penalty: Optional[float] = None
    repetition_penalty: Optional[float] = None
    logit_bias: Optional[Dict[str, float]] = None
    repeat_penalty: Optional[float] = None
    seed: Optional[int] = None
    tools: Optional[List[Tool]] = None
    tool_choice: Optional[Union[str, Dict[str, str]]] = None
    functions: Optional[List[Function]] = None
    function_call: Optional[Union[str, Dict[str, str]]] = None

class ChatCompletionRequest(CommonParams):
    messages: List[Message]

class CompletionRequest(CommonParams):
    prompt: Union[str, List[str]]

class EmbeddingRequest(BaseModel):
    model: str
    input: Union[str, List[str]]
    user: Optional[str] = None

class RouterRequest(CommonParams):
    endpoint: Optional[str] = "chat/completions"
    messages: Optional[List[Message]] = None
    prompt: Optional[Union[str, List[str]]] = None
    input: Optional[Union[str, List[str]]] = None

def sanitize_messages(messages: List[Message]) -> List[Message]:
    cleaned = []
    for m in messages:
        if isinstance(m.content, list):
            texts = [c.get("text", "") for c in m.content if isinstance(c, dict) and c.get("type") == "text"]
            if texts:
                cleaned.append(Message(role=m.role, content=" ".join(texts)))
        elif isinstance(m.content, str):
            cleaned.append(m)
    return cleaned

def map_messages(system: str, history: List[Dict[str, Any]], new_msgs: List[Message]) -> str:
    msgs = []
    if system:
        msgs.append({"role": "system", "content": system})
    msgs.extend(history)
    msgs.extend([m.model_dump() for m in new_msgs if m.role != "system"])
    text = ""
    for m in msgs:
        text += f"{m.get('role','')}:{m.get('content','')}\n"
    return text.strip()

async def get_client(app: FastAPI) -> Client:
    async with app.state.client_lock:
        if app.state.client is None:
            try:
                app.state.client = await create_gradio_client_with_retry("https://hadadrjt-ai.hf.space/")
                logger.info("Created Gradio client connection on demand")
            except Exception as e:
                logger.error(f"Failed to create Gradio client: {e}", exc_info=True)
                raise HTTPException(status_code=502, detail="Failed to connect to upstream Gradio app")
        return app.state.client

async def call_gradio(client: Client, params: dict):
    for attempt in range(3):
        try:
            return await asyncio.to_thread(lambda: client.submit(**params))
        except Exception as e:
            await asyncio.sleep(0.2 * (attempt + 1))
    raise HTTPException(status_code=502, detail="Upstream Gradio app error")

async def stream_response(job, session_id: str, session_history: List[Dict[str, Any]], new_messages: List[Message], response_type: str):
    partial = ""
    try:
        chunks = await asyncio.to_thread(lambda: list(job))
    except Exception:
        chunks = []
    for chunk in chunks:
        try:
            if isinstance(chunk, list):
                response = next((item.get('content') for item in chunk if isinstance(item, dict) and 'content' in item), str(chunk))
            else:
                response = str(chunk)
            token = response[len(partial):] if response.startswith(partial) else response
            partial = response
            if response_type == "chat":
                data = {
                    "id": str(uuid.uuid4()),
                    "object": "chat.completion.chunk",
                    "choices": [{"delta": {"content": token}, "index": 0, "finish_reason": None}],
                    "session_id": session_id
                }
            else:
                data = {
                    "id": str(uuid.uuid4()),
                    "object": "text_completion.chunk",
                    "choices": [{"text": token, "index": 0, "finish_reason": None}],
                    "session_id": session_id
                }
            yield f"data: {json.dumps(data)}\n\n"
        except Exception:
            continue
    session_history.extend([m.model_dump() for m in new_messages if m.role != "system"])
    session_history.append({"role": "assistant", "content": partial})
    done_data = {
        "id": str(uuid.uuid4()),
        "object": f"{response_type}.completion.chunk",
        "choices": [{"delta" if response_type=="chat" else "text": {} if response_type=="chat" else "", "index": 0, "finish_reason": "stop"}],
        "session_id": session_id
    }
    yield f"data: {json.dumps(done_data)}\n\n"

RATE_LIMIT_SECONDS = 1.0

@app.post("/v1/chat/completions")
async def chat_completions(req: ChatCompletionRequest):
    user, session_id, session = await session_manager.get_session(req.user, req.session_id)
    now = time.time()
    if now - session.last_request_time < RATE_LIMIT_SECONDS:
        raise HTTPException(status_code=429, detail="Too many requests, please slow down")
    session.last_request_time = now
    req.messages = sanitize_messages(req.messages)
    for m in req.messages:
        if m.role == "system":
            session.system = m.content
            break
    text = map_messages(session.system, session.history, req.messages)
    params = {
        "message": text,
        "model_label": req.model,
        "api_name": "/api",
        "top_p": req.top_p,
        "top_k": req.top_k,
        "temperature": req.temperature,
        "max_tokens": req.max_tokens,
        "max_new_tokens": req.max_new_tokens,
        "presence_penalty": req.presence_penalty,
        "frequency_penalty": req.frequency_penalty,
        "repetition_penalty": req.repetition_penalty,
        "repeat_penalty": req.repeat_penalty,
        "logit_bias": req.logit_bias,
        "seed": req.seed,
        "functions": req.functions or req.tools,
        "function_call": req.function_call or req.tool_choice,
    }
    params = {k: v for k, v in params.items() if v is not None}
    client = await get_client(app)
    if req.stream:
        job = await call_gradio(client, params)
        generator = stream_response(job, session_id, session.history, req.messages, "chat")
        return StreamingResponse(generator, media_type="text/event-stream")
    else:
        loop = asyncio.get_running_loop()
        try:
            result = await loop.run_in_executor(None, lambda: client.predict(**params))
        except Exception:
            raise HTTPException(status_code=502, detail="Upstream Gradio app error")
        session.history.extend([m.model_dump() for m in req.messages if m.role != "system"])
        session.history.append({"role": "assistant", "content": result})
        return {
            "id": str(uuid.uuid4()),
            "object": "chat.completion",
            "choices": [{"message": {"role": "assistant", "content": result}}],
            "session_id": session_id
        }

@app.post("/v1/completions")
async def completions(req: CompletionRequest):
    user, session_id, session = await session_manager.get_session(req.user, req.session_id)
    now = time.time()
    if now - session.last_request_time < RATE_LIMIT_SECONDS:
        raise HTTPException(status_code=429, detail="Too many requests, please slow down")
    session.last_request_time = now
    prompt = req.prompt if isinstance(req.prompt, str) else "\n".join(req.prompt)
    params = {
        "message": prompt,
        "model_label": req.model,
        "api_name": "/api",
        "top_p": req.top_p,
        "top_k": req.top_k,
        "temperature": req.temperature,
        "max_tokens": req.max_tokens,
        "max_new_tokens": req.max_new_tokens,
        "presence_penalty": req.presence_penalty,
        "frequency_penalty": req.frequency_penalty,
        "repetition_penalty": req.repetition_penalty,
        "repeat_penalty": req.repeat_penalty,
        "logit_bias": req.logit_bias,
        "seed": req.seed,
    }
    params = {k: v for k, v in params.items() if v is not None}
    client = await get_client(app)
    if req.stream:
        job = await call_gradio(client, params)
        generator = stream_response(job, session_id, [], [], "text")
        return StreamingResponse(generator, media_type="text/event-stream")
    else:
        loop = asyncio.get_running_loop()
        try:
            result = await loop.run_in_executor(None, lambda: client.predict(**params))
        except Exception:
            raise HTTPException(status_code=502, detail="Upstream Gradio app error")
        return {"id": str(uuid.uuid4()), "object": "text_completion", "choices": [{"text": result}]}

@app.post("/v1/embeddings")
async def embeddings(req: EmbeddingRequest):
    inputs = req.input if isinstance(req.input, list) else [req.input]
    embeddings = [[0.0] * 768 for _ in inputs]
    return {"object": "list", "data": [{"embedding": emb, "index": i} for i, emb in enumerate(embeddings)]}

@app.get("/v1/models")
async def get_models():
    return {"object": "list", "data": [{"id": "Q8_K_XL", "object": "model", "owned_by": "J.A.R.V.I.S."}]}

@app.get("/v1/history")
async def get_history(user: Optional[str] = None, session_id: Optional[str] = None):
    user = user or "anonymous"
    sessions = session_manager.sessions
    if user in sessions and session_id and session_id in sessions[user]:
        return {"user": user, "session_id": session_id, "history": sessions[user][session_id].history}
    return {"user": user, "session_id": session_id, "history": []}

@app.post("/v1/responses/cancel")
async def cancel_response(user: Optional[str], session_id: Optional[str], task_id: Optional[str]):
    user = user or "anonymous"
    if not task_id:
        raise HTTPException(status_code=400, detail="Missing task_id for cancellation")
    async with session_manager.lock:
        if user in session_manager.sessions and session_id in session_manager.sessions[user]:
            session = session_manager.sessions[user][session_id]
            task = session.active_tasks.get(task_id)
            if task and not task.done():
                task.cancel()
                return {"message": f"Cancelled task {task_id}"}
    raise HTTPException(status_code=404, detail="Task not found or already completed")

@app.api_route("/v1", methods=["POST", "GET", "OPTIONS", "HEAD"])
async def router(request: Request):
    if request.method == "POST":
        try:
            body_json = await request.json()
        except Exception:
            raise HTTPException(status_code=400, detail="Invalid JSON body")
        try:
            body = RouterRequest(**body_json)
        except ValidationError as e:
            raise HTTPException(status_code=422, detail=e.errors())
        endpoint = body.endpoint or "chat/completions"
        if endpoint == "chat/completions":
            if not body.model or not body.messages:
                raise HTTPException(status_code=422, detail="Missing 'model' or 'messages'")
            req_obj = ChatCompletionRequest(**body.dict())
            return await chat_completions(req_obj)
        elif endpoint == "completions":
            if not body.model or not body.prompt:
                raise HTTPException(status_code=422, detail="Missing 'model' or 'prompt'")
            req_obj = CompletionRequest(**body.dict())
            return await completions(req_obj)
        elif endpoint == "embeddings":
            if not body.model or body.input is None:
                raise HTTPException(status_code=422, detail="Missing 'model' or 'input'")
            req_obj = EmbeddingRequest(**body.dict())
            return await embeddings(req_obj)
        elif endpoint == "models":
            return await get_models()
        elif endpoint == "history":
            return await get_history(body.user, body.session_id)
        elif endpoint == "responses/cancel":
            task_id = None
            if isinstance(body.tool_choice, str):
                task_id = body.tool_choice
            return await cancel_response(body.user, body.session_id, task_id)
        else:
            raise HTTPException(status_code=404, detail="Endpoint not found")
    else:
        return JSONResponse({"message": "Send POST request with JSON body"}, status_code=status.HTTP_405_METHOD_NOT_ALLOWED)

@app.get("/")
async def root():
    return {
        "endpoints": [
            "/v1/chat/completions",
            "/v1/completions",
            "/v1/embeddings",
            "/v1/models",
            "/v1/history",
            "/v1/responses/cancel",
            "/v1"
        ]
    }

if __name__ == "__main__":
    import uvicorn
    uvicorn.run(app, host="0.0.0.0", port=7860)