import os
from pathlib import Path

import requests

from repository.repository_abc import Repository, Model, ModelRoles


class OndemandRepository(Repository):
    session_url = "https://api.on-demand.io/chat/v1/sessions"
    def __init__(self, model_info: Model, system_message: str = None, log_to_file:Path=None):
        self.model_info = model_info
        self.system_message = system_message
        self.log_to_file = log_to_file
        self.session_id = None

    def init(self):
        if not self.session_id:
            headers = {"apiKey": os.getenv("API_KEY")}
            session_body = {"pluginIds": [], "externalUserId": "virtualDAM"}
            response = requests.post(self.session_url, headers=headers, json=session_body)
            response_data = response.json()
            self.session_id = response_data["data"]["id"]

    def get_model_roles(self) -> ModelRoles:
        return self.model_info.roles

    def get_model_info(self) -> Model:
        return self.model_info

    def send_prompt(self, prompt: str, add_to_history: bool = None) -> dict[str, str]:
        headers = {"apiKey": os.getenv("API_KEY")}
        body = {'endpointId': 'predefined-openai-gpt3.5turbo', 'query': prompt, 'pluginIds': [], 'responseMode': 'sync'}
        url = f'https://api.on-demand.io/chat/v1/sessions/{self.session_id}/query'
        response = requests.post(url, headers=headers, json=body)
        return {"content": response.json()["data"]["answer"]}

    def get_message_history(self) -> list[dict[str, str]]:
        return []