# The AIConsole Project
#
# Copyright 2023 10Clouds
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import logging

import openai
from openai import OpenAI

_log = logging.getLogger(__name__)

from aiconsole.core.gpt.consts import (
    GPT_MODE_COST_MODEL,
    GPT_MODE_QUALITY_MODEL,
    GPT_MODE_SPEED_MODEL,
)

MODELS_TO_CHECK_WHILE_VERIFYING_KEY = [
    GPT_MODE_COST_MODEL,
    GPT_MODE_QUALITY_MODEL,
    GPT_MODE_SPEED_MODEL,
]

cached_good_keys = set()


# Verify the OpenAI key has access to the required models
def check_key(key: str) -> bool:
    try:
        if key in cached_good_keys:
            return True

        client = OpenAI(api_key=key)
        models = client.models.list()
        available_models = [model.id for model in models]

        good = set(MODELS_TO_CHECK_WHILE_VERIFYING_KEY).issubset(set(available_models))

        if good:
            cached_good_keys.add(key)
    except openai.AuthenticationError:
        good = False

    return good
