from fastapi import (
    FastAPI,
    Request,
    Response,
    HTTPException,
    Depends,
    status,
    UploadFile,
    File,
    BackgroundTasks,
)
from fastapi.middleware.cors import CORSMiddleware
from fastapi.responses import StreamingResponse
from fastapi.concurrency import run_in_threadpool

from pydantic import BaseModel, ConfigDict

import os
import re
import copy
import random
import requests
import json
import uuid
import aiohttp
import asyncio
import logging
import time
from urllib.parse import urlparse
from typing import Optional, List, Union

from starlette.background import BackgroundTask

from apps.webui.models.models import Models
from apps.webui.models.users import Users
from constants import ERROR_MESSAGES
from utils.utils import (
    decode_token,
    get_current_user,
    get_verified_user,
    get_admin_user,
)
from utils.task import prompt_template


from config import (
    SRC_LOG_LEVELS,
    OLLAMA_BASE_URLS,
    ENABLE_OLLAMA_API,
    AIOHTTP_CLIENT_TIMEOUT,
    ENABLE_MODEL_FILTER,
    MODEL_FILTER_LIST,
    UPLOAD_DIR,
    AppConfig,
)
from utils.misc import calculate_sha256, add_or_update_system_message

log = logging.getLogger(__name__)
log.setLevel(SRC_LOG_LEVELS["OLLAMA"])

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

app.state.config = AppConfig()

app.state.config.ENABLE_MODEL_FILTER = ENABLE_MODEL_FILTER
app.state.config.MODEL_FILTER_LIST = MODEL_FILTER_LIST

app.state.config.ENABLE_OLLAMA_API = ENABLE_OLLAMA_API
app.state.config.OLLAMA_BASE_URLS = OLLAMA_BASE_URLS
app.state.MODELS = {}


# TODO: Implement a more intelligent load balancing mechanism for distributing requests among multiple backend instances.
# Current implementation uses a simple round-robin approach (random.choice). Consider incorporating algorithms like weighted round-robin,
# least connections, or least response time for better resource utilization and performance optimization.


@app.middleware("http")
async def check_url(request: Request, call_next):
    if len(app.state.MODELS) == 0:
        await get_all_models()
    else:
        pass

    response = await call_next(request)
    return response


@app.head("/")
@app.get("/")
async def get_status():
    return {"status": True}


@app.get("/config")
async def get_config(user=Depends(get_admin_user)):
    return {"ENABLE_OLLAMA_API": app.state.config.ENABLE_OLLAMA_API}


class OllamaConfigForm(BaseModel):
    enable_ollama_api: Optional[bool] = None


@app.post("/config/update")
async def update_config(form_data: OllamaConfigForm, user=Depends(get_admin_user)):
    app.state.config.ENABLE_OLLAMA_API = form_data.enable_ollama_api
    return {"ENABLE_OLLAMA_API": app.state.config.ENABLE_OLLAMA_API}


@app.get("/urls")
async def get_ollama_api_urls(user=Depends(get_admin_user)):
    return {"OLLAMA_BASE_URLS": app.state.config.OLLAMA_BASE_URLS}


class UrlUpdateForm(BaseModel):
    urls: List[str]


@app.post("/urls/update")
async def update_ollama_api_url(form_data: UrlUpdateForm, user=Depends(get_admin_user)):
    app.state.config.OLLAMA_BASE_URLS = form_data.urls

    log.info(f"app.state.config.OLLAMA_BASE_URLS: {app.state.config.OLLAMA_BASE_URLS}")
    return {"OLLAMA_BASE_URLS": app.state.config.OLLAMA_BASE_URLS}


async def fetch_url(url):
    timeout = aiohttp.ClientTimeout(total=5)
    try:
        async with aiohttp.ClientSession(timeout=timeout, trust_env=True) as session:
            async with session.get(url) as response:
                return await response.json()
    except Exception as e:
        # Handle connection error here
        log.error(f"Connection error: {e}")
        return None


async def cleanup_response(
    response: Optional[aiohttp.ClientResponse],
    session: Optional[aiohttp.ClientSession],
):
    if response:
        response.close()
    if session:
        await session.close()


async def post_streaming_url(url: str, payload: str, stream: bool = True):
    r = None
    try:
        session = aiohttp.ClientSession(
            trust_env=True, timeout=aiohttp.ClientTimeout(total=AIOHTTP_CLIENT_TIMEOUT)
        )
        r = await session.post(url, data=payload)
        r.raise_for_status()

        if stream:
            return StreamingResponse(
                r.content,
                status_code=r.status,
                headers=dict(r.headers),
                background=BackgroundTask(
                    cleanup_response, response=r, session=session
                ),
            )
        else:
            res = await r.json()
            await cleanup_response(r, session)
            return res

    except Exception as e:
        error_detail = "Open WebUI: Server Connection Error"
        if r is not None:
            try:
                res = await r.json()
                if "error" in res:
                    error_detail = f"Ollama: {res['error']}"
            except:
                error_detail = f"Ollama: {e}"

        raise HTTPException(
            status_code=r.status if r else 500,
            detail=error_detail,
        )


def merge_models_lists(model_lists):
    merged_models = {}

    for idx, model_list in enumerate(model_lists):
        if model_list is not None:
            for model in model_list:
                digest = model["digest"]
                if digest not in merged_models:
                    model["urls"] = [idx]
                    merged_models[digest] = model
                else:
                    merged_models[digest]["urls"].append(idx)

    return list(merged_models.values())


async def get_all_models():
    log.info("get_all_models()")

    if app.state.config.ENABLE_OLLAMA_API:
        tasks = [
            fetch_url(f"{url}/api/tags") for url in app.state.config.OLLAMA_BASE_URLS
        ]
        responses = await asyncio.gather(*tasks)

        models = {
            "models": merge_models_lists(
                map(
                    lambda response: response["models"] if response else None, responses
                )
            )
        }

    else:
        models = {"models": []}

    app.state.MODELS = {model["model"]: model for model in models["models"]}

    return models


@app.get("/api/tags")
@app.get("/api/tags/{url_idx}")
async def get_ollama_tags(
    url_idx: Optional[int] = None, user=Depends(get_verified_user)
):
    if url_idx == None:
        models = await get_all_models()

        if app.state.config.ENABLE_MODEL_FILTER:
            if user.role == "user":
                models["models"] = list(
                    filter(
                        lambda model: model["name"]
                        in app.state.config.MODEL_FILTER_LIST,
                        models["models"],
                    )
                )
                return models
        return models
    else:
        url = app.state.config.OLLAMA_BASE_URLS[url_idx]

        r = None
        try:
            r = requests.request(method="GET", url=f"{url}/api/tags")
            r.raise_for_status()

            return r.json()
        except Exception as e:
            log.exception(e)
            error_detail = "Open WebUI: Server Connection Error"
            if r is not None:
                try:
                    res = r.json()
                    if "error" in res:
                        error_detail = f"Ollama: {res['error']}"
                except:
                    error_detail = f"Ollama: {e}"

            raise HTTPException(
                status_code=r.status_code if r else 500,
                detail=error_detail,
            )


@app.get("/api/version")
@app.get("/api/version/{url_idx}")
async def get_ollama_versions(url_idx: Optional[int] = None):
    if app.state.config.ENABLE_OLLAMA_API:
        if url_idx == None:

            # returns lowest version
            tasks = [
                fetch_url(f"{url}/api/version")
                for url in app.state.config.OLLAMA_BASE_URLS
            ]
            responses = await asyncio.gather(*tasks)
            responses = list(filter(lambda x: x is not None, responses))

            if len(responses) > 0:
                lowest_version = min(
                    responses,
                    key=lambda x: tuple(
                        map(int, re.sub(r"^v|-.*", "", x["version"]).split("."))
                    ),
                )

                return {"version": lowest_version["version"]}
            else:
                raise HTTPException(
                    status_code=500,
                    detail=ERROR_MESSAGES.OLLAMA_NOT_FOUND,
                )
        else:
            url = app.state.config.OLLAMA_BASE_URLS[url_idx]

            r = None
            try:
                r = requests.request(method="GET", url=f"{url}/api/version")
                r.raise_for_status()

                return r.json()
            except Exception as e:
                log.exception(e)
                error_detail = "Open WebUI: Server Connection Error"
                if r is not None:
                    try:
                        res = r.json()
                        if "error" in res:
                            error_detail = f"Ollama: {res['error']}"
                    except:
                        error_detail = f"Ollama: {e}"

                raise HTTPException(
                    status_code=r.status_code if r else 500,
                    detail=error_detail,
                )
    else:
        return {"version": False}


class ModelNameForm(BaseModel):
    name: str


@app.post("/api/pull")
@app.post("/api/pull/{url_idx}")
async def pull_model(
    form_data: ModelNameForm, url_idx: int = 0, user=Depends(get_admin_user)
):
    url = app.state.config.OLLAMA_BASE_URLS[url_idx]
    log.info(f"url: {url}")

    r = None

    # Admin should be able to pull models from any source
    payload = {**form_data.model_dump(exclude_none=True), "insecure": True}

    return await post_streaming_url(f"{url}/api/pull", json.dumps(payload))


class PushModelForm(BaseModel):
    name: str
    insecure: Optional[bool] = None
    stream: Optional[bool] = None


@app.delete("/api/push")
@app.delete("/api/push/{url_idx}")
async def push_model(
    form_data: PushModelForm,
    url_idx: Optional[int] = None,
    user=Depends(get_admin_user),
):
    if url_idx == None:
        if form_data.name in app.state.MODELS:
            url_idx = app.state.MODELS[form_data.name]["urls"][0]
        else:
            raise HTTPException(
                status_code=400,
                detail=ERROR_MESSAGES.MODEL_NOT_FOUND(form_data.name),
            )

    url = app.state.config.OLLAMA_BASE_URLS[url_idx]
    log.debug(f"url: {url}")

    return await post_streaming_url(
        f"{url}/api/push", form_data.model_dump_json(exclude_none=True).encode()
    )


class CreateModelForm(BaseModel):
    name: str
    modelfile: Optional[str] = None
    stream: Optional[bool] = None
    path: Optional[str] = None


@app.post("/api/create")
@app.post("/api/create/{url_idx}")
async def create_model(
    form_data: CreateModelForm, url_idx: int = 0, user=Depends(get_admin_user)
):
    log.debug(f"form_data: {form_data}")
    url = app.state.config.OLLAMA_BASE_URLS[url_idx]
    log.info(f"url: {url}")

    return await post_streaming_url(
        f"{url}/api/create", form_data.model_dump_json(exclude_none=True).encode()
    )


class CopyModelForm(BaseModel):
    source: str
    destination: str


@app.post("/api/copy")
@app.post("/api/copy/{url_idx}")
async def copy_model(
    form_data: CopyModelForm,
    url_idx: Optional[int] = None,
    user=Depends(get_admin_user),
):
    if url_idx == None:
        if form_data.source in app.state.MODELS:
            url_idx = app.state.MODELS[form_data.source]["urls"][0]
        else:
            raise HTTPException(
                status_code=400,
                detail=ERROR_MESSAGES.MODEL_NOT_FOUND(form_data.source),
            )

    url = app.state.config.OLLAMA_BASE_URLS[url_idx]
    log.info(f"url: {url}")

    try:
        r = requests.request(
            method="POST",
            url=f"{url}/api/copy",
            data=form_data.model_dump_json(exclude_none=True).encode(),
        )
        r.raise_for_status()

        log.debug(f"r.text: {r.text}")

        return True
    except Exception as e:
        log.exception(e)
        error_detail = "Open WebUI: Server Connection Error"
        if r is not None:
            try:
                res = r.json()
                if "error" in res:
                    error_detail = f"Ollama: {res['error']}"
            except:
                error_detail = f"Ollama: {e}"

        raise HTTPException(
            status_code=r.status_code if r else 500,
            detail=error_detail,
        )


@app.delete("/api/delete")
@app.delete("/api/delete/{url_idx}")
async def delete_model(
    form_data: ModelNameForm,
    url_idx: Optional[int] = None,
    user=Depends(get_admin_user),
):
    if url_idx == None:
        if form_data.name in app.state.MODELS:
            url_idx = app.state.MODELS[form_data.name]["urls"][0]
        else:
            raise HTTPException(
                status_code=400,
                detail=ERROR_MESSAGES.MODEL_NOT_FOUND(form_data.name),
            )

    url = app.state.config.OLLAMA_BASE_URLS[url_idx]
    log.info(f"url: {url}")

    try:
        r = requests.request(
            method="DELETE",
            url=f"{url}/api/delete",
            data=form_data.model_dump_json(exclude_none=True).encode(),
        )
        r.raise_for_status()

        log.debug(f"r.text: {r.text}")

        return True
    except Exception as e:
        log.exception(e)
        error_detail = "Open WebUI: Server Connection Error"
        if r is not None:
            try:
                res = r.json()
                if "error" in res:
                    error_detail = f"Ollama: {res['error']}"
            except:
                error_detail = f"Ollama: {e}"

        raise HTTPException(
            status_code=r.status_code if r else 500,
            detail=error_detail,
        )


@app.post("/api/show")
async def show_model_info(form_data: ModelNameForm, user=Depends(get_verified_user)):
    if form_data.name not in app.state.MODELS:
        raise HTTPException(
            status_code=400,
            detail=ERROR_MESSAGES.MODEL_NOT_FOUND(form_data.name),
        )

    url_idx = random.choice(app.state.MODELS[form_data.name]["urls"])
    url = app.state.config.OLLAMA_BASE_URLS[url_idx]
    log.info(f"url: {url}")

    try:
        r = requests.request(
            method="POST",
            url=f"{url}/api/show",
            data=form_data.model_dump_json(exclude_none=True).encode(),
        )
        r.raise_for_status()

        return r.json()
    except Exception as e:
        log.exception(e)
        error_detail = "Open WebUI: Server Connection Error"
        if r is not None:
            try:
                res = r.json()
                if "error" in res:
                    error_detail = f"Ollama: {res['error']}"
            except:
                error_detail = f"Ollama: {e}"

        raise HTTPException(
            status_code=r.status_code if r else 500,
            detail=error_detail,
        )


class GenerateEmbeddingsForm(BaseModel):
    model: str
    prompt: str
    options: Optional[dict] = None
    keep_alive: Optional[Union[int, str]] = None


@app.post("/api/embeddings")
@app.post("/api/embeddings/{url_idx}")
async def generate_embeddings(
    form_data: GenerateEmbeddingsForm,
    url_idx: Optional[int] = None,
    user=Depends(get_verified_user),
):
    if url_idx == None:
        model = form_data.model

        if ":" not in model:
            model = f"{model}:latest"

        if model in app.state.MODELS:
            url_idx = random.choice(app.state.MODELS[model]["urls"])
        else:
            raise HTTPException(
                status_code=400,
                detail=ERROR_MESSAGES.MODEL_NOT_FOUND(form_data.model),
            )

    url = app.state.config.OLLAMA_BASE_URLS[url_idx]
    log.info(f"url: {url}")

    try:
        r = requests.request(
            method="POST",
            url=f"{url}/api/embeddings",
            data=form_data.model_dump_json(exclude_none=True).encode(),
        )
        r.raise_for_status()

        return r.json()
    except Exception as e:
        log.exception(e)
        error_detail = "Open WebUI: Server Connection Error"
        if r is not None:
            try:
                res = r.json()
                if "error" in res:
                    error_detail = f"Ollama: {res['error']}"
            except:
                error_detail = f"Ollama: {e}"

        raise HTTPException(
            status_code=r.status_code if r else 500,
            detail=error_detail,
        )


def generate_ollama_embeddings(
    form_data: GenerateEmbeddingsForm,
    url_idx: Optional[int] = None,
):

    log.info(f"generate_ollama_embeddings {form_data}")

    if url_idx == None:
        model = form_data.model

        if ":" not in model:
            model = f"{model}:latest"

        if model in app.state.MODELS:
            url_idx = random.choice(app.state.MODELS[model]["urls"])
        else:
            raise HTTPException(
                status_code=400,
                detail=ERROR_MESSAGES.MODEL_NOT_FOUND(form_data.model),
            )

    url = app.state.config.OLLAMA_BASE_URLS[url_idx]
    log.info(f"url: {url}")

    try:
        r = requests.request(
            method="POST",
            url=f"{url}/api/embeddings",
            data=form_data.model_dump_json(exclude_none=True).encode(),
        )
        r.raise_for_status()

        data = r.json()

        log.info(f"generate_ollama_embeddings {data}")

        if "embedding" in data:
            return data["embedding"]
        else:
            raise "Something went wrong :/"
    except Exception as e:
        log.exception(e)
        error_detail = "Open WebUI: Server Connection Error"
        if r is not None:
            try:
                res = r.json()
                if "error" in res:
                    error_detail = f"Ollama: {res['error']}"
            except:
                error_detail = f"Ollama: {e}"

        raise error_detail


class GenerateCompletionForm(BaseModel):
    model: str
    prompt: str
    images: Optional[List[str]] = None
    format: Optional[str] = None
    options: Optional[dict] = None
    system: Optional[str] = None
    template: Optional[str] = None
    context: Optional[str] = None
    stream: Optional[bool] = True
    raw: Optional[bool] = None
    keep_alive: Optional[Union[int, str]] = None


@app.post("/api/generate")
@app.post("/api/generate/{url_idx}")
async def generate_completion(
    form_data: GenerateCompletionForm,
    url_idx: Optional[int] = None,
    user=Depends(get_verified_user),
):

    if url_idx == None:
        model = form_data.model

        if ":" not in model:
            model = f"{model}:latest"

        if model in app.state.MODELS:
            url_idx = random.choice(app.state.MODELS[model]["urls"])
        else:
            raise HTTPException(
                status_code=400,
                detail=ERROR_MESSAGES.MODEL_NOT_FOUND(form_data.model),
            )

    url = app.state.config.OLLAMA_BASE_URLS[url_idx]
    log.info(f"url: {url}")

    return await post_streaming_url(
        f"{url}/api/generate", form_data.model_dump_json(exclude_none=True).encode()
    )


class ChatMessage(BaseModel):
    role: str
    content: str
    images: Optional[List[str]] = None


class GenerateChatCompletionForm(BaseModel):
    model: str
    messages: List[ChatMessage]
    format: Optional[str] = None
    options: Optional[dict] = None
    template: Optional[str] = None
    stream: Optional[bool] = None
    keep_alive: Optional[Union[int, str]] = None


@app.post("/api/chat")
@app.post("/api/chat/{url_idx}")
async def generate_chat_completion(
    form_data: GenerateChatCompletionForm,
    url_idx: Optional[int] = None,
    user=Depends(get_verified_user),
):

    log.debug(
        "form_data.model_dump_json(exclude_none=True).encode(): {0} ".format(
            form_data.model_dump_json(exclude_none=True).encode()
        )
    )

    payload = {
        **form_data.model_dump(exclude_none=True, exclude=["metadata"]),
    }
    if "metadata" in payload:
        del payload["metadata"]

    model_id = form_data.model
    model_info = Models.get_model_by_id(model_id)

    if model_info:
        if model_info.base_model_id:
            payload["model"] = model_info.base_model_id

        model_info.params = model_info.params.model_dump()

        if model_info.params:
            if payload.get("options") is None:
                payload["options"] = {}

            if (
                model_info.params.get("mirostat", None)
                and payload["options"].get("mirostat") is None
            ):
                payload["options"]["mirostat"] = model_info.params.get("mirostat", None)

            if (
                model_info.params.get("mirostat_eta", None)
                and payload["options"].get("mirostat_eta") is None
            ):
                payload["options"]["mirostat_eta"] = model_info.params.get(
                    "mirostat_eta", None
                )

            if (
                model_info.params.get("mirostat_tau", None)
                and payload["options"].get("mirostat_tau") is None
            ):
                payload["options"]["mirostat_tau"] = model_info.params.get(
                    "mirostat_tau", None
                )

            if (
                model_info.params.get("num_ctx", None)
                and payload["options"].get("num_ctx") is None
            ):
                payload["options"]["num_ctx"] = model_info.params.get("num_ctx", None)

            if (
                model_info.params.get("num_batch", None)
                and payload["options"].get("num_batch") is None
            ):
                payload["options"]["num_batch"] = model_info.params.get(
                    "num_batch", None
                )

            if (
                model_info.params.get("num_keep", None)
                and payload["options"].get("num_keep") is None
            ):
                payload["options"]["num_keep"] = model_info.params.get("num_keep", None)

            if (
                model_info.params.get("repeat_last_n", None)
                and payload["options"].get("repeat_last_n") is None
            ):
                payload["options"]["repeat_last_n"] = model_info.params.get(
                    "repeat_last_n", None
                )

            if (
                model_info.params.get("frequency_penalty", None)
                and payload["options"].get("frequency_penalty") is None
            ):
                payload["options"]["repeat_penalty"] = model_info.params.get(
                    "frequency_penalty", None
                )

            if (
                model_info.params.get("temperature", None)
                and payload["options"].get("temperature") is None
            ):
                payload["options"]["temperature"] = model_info.params.get(
                    "temperature", None
                )

            if (
                model_info.params.get("seed", None)
                and payload["options"].get("seed") is None
            ):
                payload["options"]["seed"] = model_info.params.get("seed", None)

            if (
                model_info.params.get("stop", None)
                and payload["options"].get("stop") is None
            ):
                payload["options"]["stop"] = (
                    [
                        bytes(stop, "utf-8").decode("unicode_escape")
                        for stop in model_info.params["stop"]
                    ]
                    if model_info.params.get("stop", None)
                    else None
                )

            if (
                model_info.params.get("tfs_z", None)
                and payload["options"].get("tfs_z") is None
            ):
                payload["options"]["tfs_z"] = model_info.params.get("tfs_z", None)

            if (
                model_info.params.get("max_tokens", None)
                and payload["options"].get("max_tokens") is None
            ):
                payload["options"]["num_predict"] = model_info.params.get(
                    "max_tokens", None
                )

            if (
                model_info.params.get("top_k", None)
                and payload["options"].get("top_k") is None
            ):
                payload["options"]["top_k"] = model_info.params.get("top_k", None)

            if (
                model_info.params.get("top_p", None)
                and payload["options"].get("top_p") is None
            ):
                payload["options"]["top_p"] = model_info.params.get("top_p", None)

            if (
                model_info.params.get("use_mmap", None)
                and payload["options"].get("use_mmap") is None
            ):
                payload["options"]["use_mmap"] = model_info.params.get("use_mmap", None)

            if (
                model_info.params.get("use_mlock", None)
                and payload["options"].get("use_mlock") is None
            ):
                payload["options"]["use_mlock"] = model_info.params.get(
                    "use_mlock", None
                )

            if (
                model_info.params.get("num_thread", None)
                and payload["options"].get("num_thread") is None
            ):
                payload["options"]["num_thread"] = model_info.params.get(
                    "num_thread", None
                )

        system = model_info.params.get("system", None)
        if system:
            system = prompt_template(
                system,
                **(
                    {
                        "user_name": user.name,
                        "user_location": (
                            user.info.get("location") if user.info else None
                        ),
                    }
                    if user
                    else {}
                ),
            )

            if payload.get("messages"):
                payload["messages"] = add_or_update_system_message(
                    system, payload["messages"]
                )

    if url_idx == None:
        if ":" not in payload["model"]:
            payload["model"] = f"{payload['model']}:latest"

        if payload["model"] in app.state.MODELS:
            url_idx = random.choice(app.state.MODELS[payload["model"]]["urls"])
        else:
            raise HTTPException(
                status_code=400,
                detail=ERROR_MESSAGES.MODEL_NOT_FOUND(form_data.model),
            )

    url = app.state.config.OLLAMA_BASE_URLS[url_idx]
    log.info(f"url: {url}")
    log.debug(payload)

    return await post_streaming_url(f"{url}/api/chat", json.dumps(payload))


# TODO: we should update this part once Ollama supports other types
class OpenAIChatMessageContent(BaseModel):
    type: str
    model_config = ConfigDict(extra="allow")


class OpenAIChatMessage(BaseModel):
    role: str
    content: Union[str, OpenAIChatMessageContent]

    model_config = ConfigDict(extra="allow")


class OpenAIChatCompletionForm(BaseModel):
    model: str
    messages: List[OpenAIChatMessage]

    model_config = ConfigDict(extra="allow")


@app.post("/v1/chat/completions")
@app.post("/v1/chat/completions/{url_idx}")
async def generate_openai_chat_completion(
    form_data: dict,
    url_idx: Optional[int] = None,
    user=Depends(get_verified_user),
):
    form_data = OpenAIChatCompletionForm(**form_data)
    payload = {**form_data.model_dump(exclude_none=True, exclude=["metadata"])}

    if "metadata" in payload:
        del payload["metadata"]

    model_id = form_data.model
    model_info = Models.get_model_by_id(model_id)

    if model_info:
        if model_info.base_model_id:
            payload["model"] = model_info.base_model_id

        model_info.params = model_info.params.model_dump()

        if model_info.params:
            payload["temperature"] = model_info.params.get("temperature", None)
            payload["top_p"] = model_info.params.get("top_p", None)
            payload["max_tokens"] = model_info.params.get("max_tokens", None)
            payload["frequency_penalty"] = model_info.params.get(
                "frequency_penalty", None
            )
            payload["seed"] = model_info.params.get("seed", None)
            payload["stop"] = (
                [
                    bytes(stop, "utf-8").decode("unicode_escape")
                    for stop in model_info.params["stop"]
                ]
                if model_info.params.get("stop", None)
                else None
            )

        system = model_info.params.get("system", None)

        if system:
            system = prompt_template(
                system,
                **(
                    {
                        "user_name": user.name,
                        "user_location": (
                            user.info.get("location") if user.info else None
                        ),
                    }
                    if user
                    else {}
                ),
            )
            # Check if the payload already has a system message
            # If not, add a system message to the payload
            if payload.get("messages"):
                for message in payload["messages"]:
                    if message.get("role") == "system":
                        message["content"] = system + message["content"]
                        break
                else:
                    payload["messages"].insert(
                        0,
                        {
                            "role": "system",
                            "content": system,
                        },
                    )

    if url_idx == None:
        if ":" not in payload["model"]:
            payload["model"] = f"{payload['model']}:latest"

        if payload["model"] in app.state.MODELS:
            url_idx = random.choice(app.state.MODELS[payload["model"]]["urls"])
        else:
            raise HTTPException(
                status_code=400,
                detail=ERROR_MESSAGES.MODEL_NOT_FOUND(form_data.model),
            )

    url = app.state.config.OLLAMA_BASE_URLS[url_idx]
    log.info(f"url: {url}")

    return await post_streaming_url(
        f"{url}/v1/chat/completions",
        json.dumps(payload),
        stream=payload.get("stream", False),
    )


@app.get("/v1/models")
@app.get("/v1/models/{url_idx}")
async def get_openai_models(
    url_idx: Optional[int] = None,
    user=Depends(get_verified_user),
):
    if url_idx == None:
        models = await get_all_models()

        if app.state.config.ENABLE_MODEL_FILTER:
            if user.role == "user":
                models["models"] = list(
                    filter(
                        lambda model: model["name"]
                        in app.state.config.MODEL_FILTER_LIST,
                        models["models"],
                    )
                )

        return {
            "data": [
                {
                    "id": model["model"],
                    "object": "model",
                    "created": int(time.time()),
                    "owned_by": "openai",
                }
                for model in models["models"]
            ],
            "object": "list",
        }

    else:
        url = app.state.config.OLLAMA_BASE_URLS[url_idx]
        try:
            r = requests.request(method="GET", url=f"{url}/api/tags")
            r.raise_for_status()

            models = r.json()

            return {
                "data": [
                    {
                        "id": model["model"],
                        "object": "model",
                        "created": int(time.time()),
                        "owned_by": "openai",
                    }
                    for model in models["models"]
                ],
                "object": "list",
            }

        except Exception as e:
            log.exception(e)
            error_detail = "Open WebUI: Server Connection Error"
            if r is not None:
                try:
                    res = r.json()
                    if "error" in res:
                        error_detail = f"Ollama: {res['error']}"
                except:
                    error_detail = f"Ollama: {e}"

            raise HTTPException(
                status_code=r.status_code if r else 500,
                detail=error_detail,
            )


class UrlForm(BaseModel):
    url: str


class UploadBlobForm(BaseModel):
    filename: str


def parse_huggingface_url(hf_url):
    try:
        # Parse the URL
        parsed_url = urlparse(hf_url)

        # Get the path and split it into components
        path_components = parsed_url.path.split("/")

        # Extract the desired output
        user_repo = "/".join(path_components[1:3])
        model_file = path_components[-1]

        return model_file
    except ValueError:
        return None


async def download_file_stream(
    ollama_url, file_url, file_path, file_name, chunk_size=1024 * 1024
):
    done = False

    if os.path.exists(file_path):
        current_size = os.path.getsize(file_path)
    else:
        current_size = 0

    headers = {"Range": f"bytes={current_size}-"} if current_size > 0 else {}

    timeout = aiohttp.ClientTimeout(total=600)  # Set the timeout

    async with aiohttp.ClientSession(timeout=timeout, trust_env=True) as session:
        async with session.get(file_url, headers=headers) as response:
            total_size = int(response.headers.get("content-length", 0)) + current_size

            with open(file_path, "ab+") as file:
                async for data in response.content.iter_chunked(chunk_size):
                    current_size += len(data)
                    file.write(data)

                    done = current_size == total_size
                    progress = round((current_size / total_size) * 100, 2)

                    yield f'data: {{"progress": {progress}, "completed": {current_size}, "total": {total_size}}}\n\n'

                if done:
                    file.seek(0)
                    hashed = calculate_sha256(file)
                    file.seek(0)

                    url = f"{ollama_url}/api/blobs/sha256:{hashed}"
                    response = requests.post(url, data=file)

                    if response.ok:
                        res = {
                            "done": done,
                            "blob": f"sha256:{hashed}",
                            "name": file_name,
                        }
                        os.remove(file_path)

                        yield f"data: {json.dumps(res)}\n\n"
                    else:
                        raise "Ollama: Could not create blob, Please try again."


# url = "https://huggingface.co/TheBloke/stablelm-zephyr-3b-GGUF/resolve/main/stablelm-zephyr-3b.Q2_K.gguf"
@app.post("/models/download")
@app.post("/models/download/{url_idx}")
async def download_model(
    form_data: UrlForm,
    url_idx: Optional[int] = None,
    user=Depends(get_admin_user),
):

    allowed_hosts = ["https://huggingface.co/", "https://github.com/"]

    if not any(form_data.url.startswith(host) for host in allowed_hosts):
        raise HTTPException(
            status_code=400,
            detail="Invalid file_url. Only URLs from allowed hosts are permitted.",
        )

    if url_idx == None:
        url_idx = 0
    url = app.state.config.OLLAMA_BASE_URLS[url_idx]

    file_name = parse_huggingface_url(form_data.url)

    if file_name:
        file_path = f"{UPLOAD_DIR}/{file_name}"

        return StreamingResponse(
            download_file_stream(url, form_data.url, file_path, file_name),
        )
    else:
        return None


@app.post("/models/upload")
@app.post("/models/upload/{url_idx}")
def upload_model(
    file: UploadFile = File(...),
    url_idx: Optional[int] = None,
    user=Depends(get_admin_user),
):
    if url_idx == None:
        url_idx = 0
    ollama_url = app.state.config.OLLAMA_BASE_URLS[url_idx]

    file_path = f"{UPLOAD_DIR}/{file.filename}"

    # Save file in chunks
    with open(file_path, "wb+") as f:
        for chunk in file.file:
            f.write(chunk)

    def file_process_stream():
        nonlocal ollama_url
        total_size = os.path.getsize(file_path)
        chunk_size = 1024 * 1024
        try:
            with open(file_path, "rb") as f:
                total = 0
                done = False

                while not done:
                    chunk = f.read(chunk_size)
                    if not chunk:
                        done = True
                        continue

                    total += len(chunk)
                    progress = round((total / total_size) * 100, 2)

                    res = {
                        "progress": progress,
                        "total": total_size,
                        "completed": total,
                    }
                    yield f"data: {json.dumps(res)}\n\n"

                if done:
                    f.seek(0)
                    hashed = calculate_sha256(f)
                    f.seek(0)

                    url = f"{ollama_url}/api/blobs/sha256:{hashed}"
                    response = requests.post(url, data=f)

                    if response.ok:
                        res = {
                            "done": done,
                            "blob": f"sha256:{hashed}",
                            "name": file.filename,
                        }
                        os.remove(file_path)
                        yield f"data: {json.dumps(res)}\n\n"
                    else:
                        raise Exception(
                            "Ollama: Could not create blob, Please try again."
                        )

        except Exception as e:
            res = {"error": str(e)}
            yield f"data: {json.dumps(res)}\n\n"

    return StreamingResponse(file_process_stream(), media_type="text/event-stream")
