import requests
import json
from gradio_client import Client
import os
from mistralai import Mistral

class API:
    @staticmethod
    def process_text_mistralai(prompt, model, system):
        with open("token.txt", "r") as f:
            token = f.readlines()[0].strip()

        api_key = token

        client = Mistral(api_key=api_key)

        chat_response = client.chat.complete(
            model=model,
            messages=[
                {
                    "role": "user",
                    "content": prompt,
                }, {
                    "role": "system",
                    "content": system,
                },
            ]
        )
        return chat_response.choices[0].message.content
    @staticmethod
    def process_text_gradio(prompt, model, system):
        client = Client(model)
        result = client.predict(
            message=prompt,
            system_message=system,
            max_tokens=512,
            temperature=0.7,
            top_p=0.95,
            api_name="/chat"
        )
        return result;

    # This method processes a message via ollama
    @staticmethod
    def process_text_local(prompt, model, system):
        ollama_url = "http://localhost:11434"

        response = requests.post(
            f"{ollama_url}/api/generate", json={"model": model, "prompt": prompt, "system": system}
        )

        if response.status_code == 200:
            response_data = []
            for line in response.iter_lines():
                line_decoded = line.decode("utf-8")
                line_raw = json.loads(line_decoded)
                response_data.append(line_raw["response"])

            final_response = "".join(response_data)
            return final_response
        else:
            return "Error: " + response.text

    # This method sends a message to a certain AI.

    def send_message(self, message, model, system):
        if model == 1:
            answer = self.process_text_local(message, "phi3.5", system)
        elif model == 2:
            answer = self.process_text_local(message, "gemma2:9b", system)
        elif model == 3:
            answer = self.process_text_local(message, "codegemma:2b", system)
        elif model == 4:
            answer = self.process_text_gradio(message, "PatrickPluto/InterstellarAIChatbot", system)
        elif model == 5:
            answer = self.process_text_mistralai(message, "mistral-large-latest", system)
        elif model == 6:
            answer = self.process_text_mistralai(message, "codestral-latest", system)
        else:
            return "Invalid choice"
        return answer
