import traceback

import requests
from flask import jsonify

from llm_server.custom_redis import ONE_MONTH_SECONDS, flask_cache, redis
from . import openai_bp
from ..stats import server_start_time
from ...cluster.cluster_config import get_a_cluster_backend, cluster_config
from ...config.global_config import GlobalConfig
from ...helpers import jsonify_pretty
from ...llm.openai.transform import generate_oai_string


@openai_bp.route('/models', methods=['GET'])
@flask_cache.cached(timeout=60, query_string=True)
def openai_list_models():
    model_name = cluster_config.get_backend(get_a_cluster_backend()).get('model')
    if not model_name:
        response = jsonify({
            'code': 502,
            'msg': 'failed to reach backend',
        }), 500  # return 500 so Cloudflare doesn't intercept us
    else:
        running_model = redis.get('running_model', 'ERROR', dtype=str)
        oai = fetch_openai_models()
        r = {
            "object": "list",
            "data": oai
        }
        # TODO: verify this works
        if GlobalConfig.get().openai_expose_our_model:
            r["data"].insert(0, {
                "id": running_model,
                "object": "model",
                "created": int(server_start_time.timestamp()),
                "owned_by": GlobalConfig.get().llm_middleware_name,
                "permission": [
                    {
                        "id": running_model,
                        "object": "model_permission",
                        "created": int(server_start_time.timestamp()),
                        "allow_create_engine": False,
                        "allow_sampling": False,
                        "allow_logprobs": False,
                        "allow_search_indices": False,
                        "allow_view": True,
                        "allow_fine_tuning": False,
                        "organization": "*",
                        "group": None,
                        "is_blocking": False
                    }
                ],
                "root": None,
                "parent": None
            })
        response = jsonify_pretty(r), 200
    return response


@flask_cache.memoize(timeout=ONE_MONTH_SECONDS)
def fetch_openai_models():
    if GlobalConfig.get().openai_api_key:
        try:
            response = requests.get('https://api.openai.com/v1/models', headers={'Authorization': f"Bearer {GlobalConfig.get().openai_api_key}"}, timeout=10)
            j = response.json()['data']

            # The "modelperm" string appears to be user-specific, so we'll
            # randomize it just to be safe.
            for model in range(len(j)):
                for p in range(len(j[model]['permission'])):
                    j[model]['permission'][p]['id'] = f'modelperm-{generate_oai_string(24)}'
            return j
        except:
            traceback.print_exc()
            return []
    else:
        return []