open-webui/backend/open_webui/apps/ollama/main.py

import asyncio
import json
import logging
import os
import random
import re
import time
from typing import Optional, Union
from urllib.parse import urlparse

import aiohttp
from aiocache import cached

import requests
from open_webui.apps.webui.models.models import Models
from open_webui.config import (
    CORS_ALLOW_ORIGIN,
    ENABLE_OLLAMA_API,
    OLLAMA_BASE_URLS,
    OLLAMA_API_CONFIGS,
    UPLOAD_DIR,
    AppConfig,
)
from open_webui.env import (
    AIOHTTP_CLIENT_TIMEOUT,
    AIOHTTP_CLIENT_TIMEOUT_OPENAI_MODEL_LIST,
    BYPASS_MODEL_ACCESS_CONTROL,
)


from open_webui.constants import ERROR_MESSAGES
from open_webui.env import ENV, SRC_LOG_LEVELS
from fastapi import Depends, FastAPI, File, HTTPException, Request, UploadFile
from fastapi.middleware.cors import CORSMiddleware
from fastapi.responses import StreamingResponse
from pydantic import BaseModel, ConfigDict
from starlette.background import BackgroundTask


from open_webui.utils.misc import (
    calculate_sha256,
)
from open_webui.utils.payload import (
    apply_model_params_to_body_ollama,
    apply_model_params_to_body_openai,
    apply_model_system_prompt_to_body,
)
from open_webui.utils.auth import get_admin_user, get_verified_user
from open_webui.utils.access_control import has_access

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


app = FastAPI(
    docs_url="/docs" if ENV == "dev" else None,
    openapi_url="/openapi.json" if ENV == "dev" else None,
    redoc_url=None,
)

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

app.state.config = AppConfig()

app.state.config.ENABLE_OLLAMA_API = ENABLE_OLLAMA_API
app.state.config.OLLAMA_BASE_URLS = OLLAMA_BASE_URLS
app.state.config.OLLAMA_API_CONFIGS = OLLAMA_API_CONFIGS


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


class ConnectionVerificationForm(BaseModel):
    url: str
    key: Optional[str] = None


@app.post("/verify")
async def verify_connection(
    form_data: ConnectionVerificationForm, user=Depends(get_admin_user)
):
    url = form_data.url
    key = form_data.key

    headers = {}
    if key:
        headers["Authorization"] = f"Bearer {key}"

    timeout = aiohttp.ClientTimeout(total=AIOHTTP_CLIENT_TIMEOUT_OPENAI_MODEL_LIST)
    async with aiohttp.ClientSession(timeout=timeout) as session:
        try:
            async with session.get(f"{url}/api/version", headers=headers) as r:
                if r.status != 200:
                    # Extract response error details if available
                    error_detail = f"HTTP Error: {r.status}"
                    res = await r.json()
                    if "error" in res:
                        error_detail = f"External Error: {res['error']}"
                    raise Exception(error_detail)

                response_data = await r.json()
                return response_data

        except aiohttp.ClientError as e:
            # ClientError covers all aiohttp requests issues
            log.exception(f"Client error: {str(e)}")
            # Handle aiohttp-specific connection issues, timeout etc.
            raise HTTPException(
                status_code=500, detail="Open WebUI: Server Connection Error"
            )
        except Exception as e:
            log.exception(f"Unexpected error: {e}")
            # Generic error handler in case parsing JSON or other steps fail
            error_detail = f"Unexpected error: {str(e)}"
            raise HTTPException(status_code=500, detail=error_detail)


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


class OllamaConfigForm(BaseModel):
    ENABLE_OLLAMA_API: Optional[bool] = None
    OLLAMA_BASE_URLS: list[str]
    OLLAMA_API_CONFIGS: dict


@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
    app.state.config.OLLAMA_BASE_URLS = form_data.OLLAMA_BASE_URLS

    app.state.config.OLLAMA_API_CONFIGS = form_data.OLLAMA_API_CONFIGS

    # Remove any extra configs
    config_urls = app.state.config.OLLAMA_API_CONFIGS.keys()
    for url in list(app.state.config.OLLAMA_BASE_URLS):
        if url not in config_urls:
            app.state.config.OLLAMA_API_CONFIGS.pop(url, None)

    return {
        "ENABLE_OLLAMA_API": app.state.config.ENABLE_OLLAMA_API,
        "OLLAMA_BASE_URLS": app.state.config.OLLAMA_BASE_URLS,
        "OLLAMA_API_CONFIGS": app.state.config.OLLAMA_API_CONFIGS,
    }


async def aiohttp_get(url, key=None):
    timeout = aiohttp.ClientTimeout(total=AIOHTTP_CLIENT_TIMEOUT_OPENAI_MODEL_LIST)
    try:
        headers = {"Authorization": f"Bearer {key}"} if key else {}
        async with aiohttp.ClientSession(timeout=timeout, trust_env=True) as session:
            async with session.get(url, headers=headers) 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: Union[str, bytes], stream: bool = True, content_type=None
):
    r = None
    try:
        session = aiohttp.ClientSession(
            trust_env=True, timeout=aiohttp.ClientTimeout(total=AIOHTTP_CLIENT_TIMEOUT)
        )

        parsed_url = urlparse(url)
        base_url = f"{parsed_url.scheme}://{parsed_url.netloc}"

        api_config = app.state.config.OLLAMA_API_CONFIGS.get(base_url, {})
        key = api_config.get("key", None)

        headers = {"Content-Type": "application/json"}
        if key:
            headers["Authorization"] = f"Bearer {key}"

        r = await session.post(
            url,
            data=payload,
            headers=headers,
        )
        r.raise_for_status()

        if stream:
            response_headers = dict(r.headers)
            if content_type:
                response_headers["Content-Type"] = content_type
            return StreamingResponse(
                r.content,
                status_code=r.status,
                headers=response_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 Exception:
                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:
                id = model["model"]
                if id not in merged_models:
                    model["urls"] = [idx]
                    merged_models[id] = model
                else:
                    merged_models[id]["urls"].append(idx)

    return list(merged_models.values())


@cached(ttl=3)
async def get_all_models():
    log.info("get_all_models()")
    if app.state.config.ENABLE_OLLAMA_API:
        tasks = []
        for idx, url in enumerate(app.state.config.OLLAMA_BASE_URLS):
            if url not in app.state.config.OLLAMA_API_CONFIGS:
                tasks.append(aiohttp_get(f"{url}/api/tags"))
            else:
                api_config = app.state.config.OLLAMA_API_CONFIGS.get(url, {})
                enable = api_config.get("enable", True)
                key = api_config.get("key", None)

                if enable:
                    tasks.append(aiohttp_get(f"{url}/api/tags", key))
                else:
                    tasks.append(asyncio.ensure_future(asyncio.sleep(0, None)))

        responses = await asyncio.gather(*tasks)

        for idx, response in enumerate(responses):
            if response:
                url = app.state.config.OLLAMA_BASE_URLS[idx]
                api_config = app.state.config.OLLAMA_API_CONFIGS.get(url, {})

                prefix_id = api_config.get("prefix_id", None)
                model_ids = api_config.get("model_ids", [])

                if len(model_ids) != 0 and "models" in response:
                    response["models"] = list(
                        filter(
                            lambda model: model["model"] in model_ids,
                            response["models"],
                        )
                    )

                if prefix_id:
                    for model in response.get("models", []):
                        model["model"] = f"{prefix_id}.{model['model']}"

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

    else:
        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)
):
    models = []
    if url_idx is None:
        models = await get_all_models()
    else:
        url = app.state.config.OLLAMA_BASE_URLS[url_idx]

        parsed_url = urlparse(url)
        base_url = f"{parsed_url.scheme}://{parsed_url.netloc}"

        api_config = app.state.config.OLLAMA_API_CONFIGS.get(base_url, {})
        key = api_config.get("key", None)

        headers = {}
        if key:
            headers["Authorization"] = f"Bearer {key}"

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

            models = 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 Exception:
                    error_detail = f"Ollama: {e}"

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

    if user.role == "user" and not BYPASS_MODEL_ACCESS_CONTROL:
        # Filter models based on user access control
        filtered_models = []
        for model in models.get("models", []):
            model_info = Models.get_model_by_id(model["model"])
            if model_info:
                if user.id == model_info.user_id or has_access(
                    user.id, type="read", access_control=model_info.access_control
                ):
                    filtered_models.append(model)
        models["models"] = filtered_models

    return models


@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 is None:
            # returns lowest version
            tasks = [
                aiohttp_get(
                    f"{url}/api/version",
                    app.state.config.OLLAMA_API_CONFIGS.get(url, {}).get("key", None),
                )
                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 Exception:
                        error_detail = f"Ollama: {e}"

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


@app.get("/api/ps")
async def get_ollama_loaded_models(user=Depends(get_verified_user)):
    """
    List models that are currently loaded into Ollama memory, and which node they are loaded on.
    """
    if app.state.config.ENABLE_OLLAMA_API:
        tasks = [
            aiohttp_get(
                f"{url}/api/ps",
                app.state.config.OLLAMA_API_CONFIGS.get(url, {}).get("key", None),
            )
            for url in app.state.config.OLLAMA_BASE_URLS
        ]
        responses = await asyncio.gather(*tasks)

        return dict(zip(app.state.config.OLLAMA_BASE_URLS, responses))
    else:
        return {}


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}")

    # 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 is None:
        model_list = await get_all_models()
        models = {model["model"]: model for model in model_list["models"]}

        if form_data.name in models:
            url_idx = 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 is None:
        model_list = await get_all_models()
        models = {model["model"]: model for model in model_list["models"]}

        if form_data.source in models:
            url_idx = 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}")

    parsed_url = urlparse(url)
    base_url = f"{parsed_url.scheme}://{parsed_url.netloc}"

    api_config = app.state.config.OLLAMA_API_CONFIGS.get(base_url, {})
    key = api_config.get("key", None)

    headers = {"Content-Type": "application/json"}
    if key:
        headers["Authorization"] = f"Bearer {key}"

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

    try:
        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 Exception:
                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 is None:
        model_list = await get_all_models()
        models = {model["model"]: model for model in model_list["models"]}

        if form_data.name in models:
            url_idx = 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}")

    parsed_url = urlparse(url)
    base_url = f"{parsed_url.scheme}://{parsed_url.netloc}"

    api_config = app.state.config.OLLAMA_API_CONFIGS.get(base_url, {})
    key = api_config.get("key", None)

    headers = {"Content-Type": "application/json"}
    if key:
        headers["Authorization"] = f"Bearer {key}"

    r = requests.request(
        method="DELETE",
        url=f"{url}/api/delete",
        data=form_data.model_dump_json(exclude_none=True).encode(),
        headers=headers,
    )
    try:
        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 Exception:
                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)):
    model_list = await get_all_models()
    models = {model["model"]: model for model in model_list["models"]}

    if form_data.name not in models:
        raise HTTPException(
            status_code=400,
            detail=ERROR_MESSAGES.MODEL_NOT_FOUND(form_data.name),
        )

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

    parsed_url = urlparse(url)
    base_url = f"{parsed_url.scheme}://{parsed_url.netloc}"

    api_config = app.state.config.OLLAMA_API_CONFIGS.get(base_url, {})
    key = api_config.get("key", None)

    headers = {"Content-Type": "application/json"}
    if key:
        headers["Authorization"] = f"Bearer {key}"

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


class GenerateEmbedForm(BaseModel):
    model: str
    input: list[str] | str
    truncate: Optional[bool] = None
    options: Optional[dict] = None
    keep_alive: Optional[Union[int, str]] = None


@app.post("/api/embed")
@app.post("/api/embed/{url_idx}")
async def generate_embeddings(
    form_data: GenerateEmbedForm,
    url_idx: Optional[int] = None,
    user=Depends(get_verified_user),
):
    return await generate_ollama_batch_embeddings(form_data, url_idx)


@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),
):
    return await generate_ollama_embeddings(form_data=form_data, url_idx=url_idx)


async def generate_ollama_embeddings(
    form_data: GenerateEmbeddingsForm,
    url_idx: Optional[int] = None,
):
    log.info(f"generate_ollama_embeddings {form_data}")

    if url_idx is None:
        model_list = await get_all_models()
        models = {model["model"]: model for model in model_list["models"]}

        model = form_data.model

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

        if model in models:
            url_idx = random.choice(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}")

    parsed_url = urlparse(url)
    base_url = f"{parsed_url.scheme}://{parsed_url.netloc}"

    api_config = app.state.config.OLLAMA_API_CONFIGS.get(base_url, {})
    key = api_config.get("key", None)

    headers = {"Content-Type": "application/json"}
    if key:
        headers["Authorization"] = f"Bearer {key}"

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

        data = r.json()

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

        if "embedding" in data:
            return data
        else:
            raise Exception("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 Exception:
                error_detail = f"Ollama: {e}"

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


async def generate_ollama_batch_embeddings(
    form_data: GenerateEmbedForm,
    url_idx: Optional[int] = None,
):
    log.info(f"generate_ollama_batch_embeddings {form_data}")

    if url_idx is None:
        model_list = await get_all_models()
        models = {model["model"]: model for model in model_list["models"]}

        model = form_data.model

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

        if model in models:
            url_idx = random.choice(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}")

    parsed_url = urlparse(url)
    base_url = f"{parsed_url.scheme}://{parsed_url.netloc}"

    api_config = app.state.config.OLLAMA_API_CONFIGS.get(base_url, {})
    key = api_config.get("key", None)

    headers = {"Content-Type": "application/json"}
    if key:
        headers["Authorization"] = f"Bearer {key}"

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

        data = r.json()

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

        if "embeddings" in data:
            return data
        else:
            raise Exception("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 Exception:
                error_detail = f"Ollama: {e}"

        raise Exception(error_detail)


class GenerateCompletionForm(BaseModel):
    model: str
    prompt: str
    suffix: Optional[str] = None
    images: Optional[list[str]] = None
    format: Optional[str] = None
    options: Optional[dict] = None
    system: Optional[str] = None
    template: Optional[str] = None
    context: Optional[list[int]] = 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 is None:
        model_list = await get_all_models()
        models = {model["model"]: model for model in model_list["models"]}

        model = form_data.model

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

        if model in models:
            url_idx = random.choice(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]
    api_config = app.state.config.OLLAMA_API_CONFIGS.get(url, {})
    prefix_id = api_config.get("prefix_id", None)
    if prefix_id:
        form_data.model = form_data.model.replace(f"{prefix_id}.", "")
    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] = True
    keep_alive: Optional[Union[int, str]] = None


async def get_ollama_url(url_idx: Optional[int], model: str):
    if url_idx is None:
        model_list = await get_all_models()
        models = {model["model"]: model for model in model_list["models"]}

        if model not in models:
            raise HTTPException(
                status_code=400,
                detail=ERROR_MESSAGES.MODEL_NOT_FOUND(model),
            )
        url_idx = random.choice(models[model]["urls"])
    url = app.state.config.OLLAMA_BASE_URLS[url_idx]
    return url


@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),
    bypass_filter: Optional[bool] = False,
):
    if BYPASS_MODEL_ACCESS_CONTROL:
        bypass_filter = True

    payload = {**form_data.model_dump(exclude_none=True)}
    log.debug(f"generate_chat_completion() - 1.payload = {payload}")
    if "metadata" in payload:
        del payload["metadata"]

    model_id = payload["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

        params = model_info.params.model_dump()

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

            payload["options"] = apply_model_params_to_body_ollama(
                params, payload["options"]
            )
            payload = apply_model_system_prompt_to_body(params, payload, user)

        # Check if user has access to the model
        if not bypass_filter and user.role == "user":
            if not (
                user.id == model_info.user_id
                or has_access(
                    user.id, type="read", access_control=model_info.access_control
                )
            ):
                raise HTTPException(
                    status_code=403,
                    detail="Model not found",
                )
    elif not bypass_filter:
        if user.role != "admin":
            raise HTTPException(
                status_code=403,
                detail="Model not found",
            )

    if ":" not in payload["model"]:
        payload["model"] = f"{payload['model']}:latest"

    url = await get_ollama_url(url_idx, payload["model"])
    log.info(f"url: {url}")
    log.debug(f"generate_chat_completion() - 2.payload = {payload}")

    parsed_url = urlparse(url)
    base_url = f"{parsed_url.scheme}://{parsed_url.netloc}"

    api_config = app.state.config.OLLAMA_API_CONFIGS.get(base_url, {})
    prefix_id = api_config.get("prefix_id", None)
    if prefix_id:
        payload["model"] = payload["model"].replace(f"{prefix_id}.", "")

    return await post_streaming_url(
        f"{url}/api/chat",
        json.dumps(payload),
        stream=form_data.stream,
        content_type="application/x-ndjson",
    )


# 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, list[OpenAIChatMessageContent]]

    model_config = ConfigDict(extra="allow")


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

    model_config = ConfigDict(extra="allow")


class OpenAICompletionForm(BaseModel):
    model: str
    prompt: str

    model_config = ConfigDict(extra="allow")


@app.post("/v1/completions")
@app.post("/v1/completions/{url_idx}")
async def generate_openai_completion(
    form_data: dict, url_idx: Optional[int] = None, user=Depends(get_verified_user)
):
    try:
        form_data = OpenAICompletionForm(**form_data)
    except Exception as e:
        log.exception(e)
        raise HTTPException(
            status_code=400,
            detail=str(e),
        )

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

    model_id = form_data.model
    if ":" not in model_id:
        model_id = f"{model_id}:latest"

    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
        params = model_info.params.model_dump()

        if params:
            payload = apply_model_params_to_body_openai(params, payload)

        # Check if user has access to the model
        if user.role == "user":
            if not (
                user.id == model_info.user_id
                or has_access(
                    user.id, type="read", access_control=model_info.access_control
                )
            ):
                raise HTTPException(
                    status_code=403,
                    detail="Model not found",
                )
    else:
        if user.role != "admin":
            raise HTTPException(
                status_code=403,
                detail="Model not found",
            )

    if ":" not in payload["model"]:
        payload["model"] = f"{payload['model']}:latest"

    url = await get_ollama_url(url_idx, payload["model"])
    log.info(f"url: {url}")

    api_config = app.state.config.OLLAMA_API_CONFIGS.get(url, {})
    prefix_id = api_config.get("prefix_id", None)

    if prefix_id:
        payload["model"] = payload["model"].replace(f"{prefix_id}.", "")

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


@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),
):
    try:
        completion_form = OpenAIChatCompletionForm(**form_data)
    except Exception as e:
        log.exception(e)
        raise HTTPException(
            status_code=400,
            detail=str(e),
        )

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

    model_id = completion_form.model
    if ":" not in model_id:
        model_id = f"{model_id}:latest"

    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

        params = model_info.params.model_dump()

        if params:
            payload = apply_model_params_to_body_openai(params, payload)
            payload = apply_model_system_prompt_to_body(params, payload, user)

        # Check if user has access to the model
        if user.role == "user":
            if not (
                user.id == model_info.user_id
                or has_access(
                    user.id, type="read", access_control=model_info.access_control
                )
            ):
                raise HTTPException(
                    status_code=403,
                    detail="Model not found",
                )
    else:
        if user.role != "admin":
            raise HTTPException(
                status_code=403,
                detail="Model not found",
            )

    if ":" not in payload["model"]:
        payload["model"] = f"{payload['model']}:latest"

    url = await get_ollama_url(url_idx, payload["model"])
    log.info(f"url: {url}")

    api_config = app.state.config.OLLAMA_API_CONFIGS.get(url, {})
    prefix_id = api_config.get("prefix_id", None)
    if prefix_id:
        payload["model"] = payload["model"].replace(f"{prefix_id}.", "")

    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),
):

    models = []
    if url_idx is None:
        model_list = await get_all_models()
        models = [
            {
                "id": model["model"],
                "object": "model",
                "created": int(time.time()),
                "owned_by": "openai",
            }
            for model in model_list["models"]
        ]

    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()

            model_list = r.json()

            models = [
                {
                    "id": model["model"],
                    "object": "model",
                    "created": int(time.time()),
                    "owned_by": "openai",
                }
                for model in models["models"]
            ]
        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 Exception:
                    error_detail = f"Ollama: {e}"

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

    if user.role == "user" and not BYPASS_MODEL_ACCESS_CONTROL:
        # Filter models based on user access control
        filtered_models = []
        for model in models:
            model_info = Models.get_model_by_id(model["id"])
            if model_info:
                if user.id == model_info.user_id or has_access(
                    user.id, type="read", access_control=model_info.access_control
                ):
                    filtered_models.append(model)
        models = filtered_models

    return {
        "data": models,
        "object": "list",
    }


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
        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 is 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 is 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")