import openai
import os
import gradio as gr
from llama_index.core.base.llms.types import ChatResponse


def on_submit_openai_key(openai_key):
    os.environ["OPENAI_API_KEY"] = openai_key
    # Test openai key
    try:
        client = openai.OpenAI()
        response = client.chat.completions.create(
            messages=[
                {"role": "user", "content": "What is the capital of France?"},
            ],
            model="gpt-4o-mini",
            max_tokens=3,
        )
        assert isinstance(response.choices[0].message.content, str)
        gr.Info("OpenAI API key submitted.", duration=3)
        return "Setting complete."
    except openai.AuthenticationError as e:
        gr.Error("OpenAI API key is invalid.", duration=3)
        return "Not Set"
    except AssertionError as e:
        gr.Error("OpenAI server is not working properly.", duration=3)
        return "Not Set"

def on_submit_llama_cloud_key(llama_cloud_key):
    from llama_parse import LlamaParse
    os.environ["LLAMA_CLOUD_API_KEY"] = llama_cloud_key
    # Test llama cloud key
    try:
        parser = LlamaParse(
            result_type="markdown"  # "markdown" and "text" are available
        )
        return "Setting complete."
    except:
        gr.Error("LLAMA Cloud API key is invalid.", duration=3)
        return "Not Set"


def on_submit_upstage_key(upstage_key):
    os.environ["UPSTAGE_API_KEY"] = upstage_key
    # Test upstage key
    try:
        from llama_index.llms.upstage import Upstage
        from llama_index.core.llms import ChatMessage

        llm = Upstage()

        response: ChatResponse = llm.chat(messages=[
            ChatMessage(role="system", content="You are a helpful assistant."),
            ChatMessage(role="user", content="Hi, how are you?")
        ], max_tokens=3)

        assert isinstance(response.message.content, str)
        assert bool(response.message.content)
        return "Setting complete."
    except:
        gr.Error("Upstage API key is invalid.", duration=3)
        return "Not Set"