import base64
from datetime import datetime
import os
import uuid
from typing import List, Literal

import openai
from PIL import Image

from chatchat.settings import Settings
from chatchat.server.pydantic_v1 import Field
from chatchat.server.utils import MsgType, get_tool_config, get_model_info

from .tools_registry import BaseToolOutput, regist_tool


# @regist_tool(title="文生图", return_direct=True)
def text2images(
    prompt: str,
    n: int = Field(1, description="需生成图片的数量"),
    width: Literal[256, 512, 1024] = Field(512, description="生成图片的宽度"),
    height: Literal[256, 512, 1024] = Field(512, description="生成图片的高度"),
) -> List[str]:
    """根据用户的描述生成图片"""

    tool_config = get_tool_config("text2images")
    model_config = get_model_info(tool_config["model"])
    assert model_config, "请正确配置文生图模型"

    client = openai.Client(
        base_url=model_config["api_base_url"],
        api_key=model_config["api_key"],
        timeout=600,
    )
    resp = client.images.generate(
        prompt=prompt,
        n=n,
        size=f"{width}*{height}",
        response_format="b64_json",
        model=model_config["model_name"],
    )
    images = []
    for x in resp.data:
        uid = uuid.uuid4().hex
        today = datetime.now().strftime("%Y-%m-%d")
        path = os.path.join(Settings.basic_settings.MEDIA_PATH, "image", today)
        os.makedirs(path, exist_ok=True)
        filename = f"image/{today}/{uid}.png"
        with open(os.path.join(Settings.basic_settings.MEDIA_PATH, filename), "wb") as fp:
            fp.write(base64.b64decode(x.b64_json))
        images.append(filename)
    return BaseToolOutput(
        {"message_type": MsgType.IMAGE, "images": images}, format="json"
    )


if __name__ == "__main__":
    import sys
    from io import BytesIO
    from pathlib import Path

    from matplotlib import pyplot as plt

    sys.path.append(str(Path(__file__).parent.parent.parent.parent))

    prompt = "draw a house with trees and river"
    prompt = "画一个带树、草、河流的山中小屋"
    params = text2images.args_schema.parse_obj({"prompt": prompt}).dict()
    print(params)
    image = text2images.invoke(params)[0]
    buffer = BytesIO(base64.b64decode(image))
    image = Image.open(buffer)
    plt.imshow(image)
    plt.show()