'''Functions for summarizing and formatting job calls.'''

import os
import logging
from openai import OpenAI
from configuration import JOB_CALL_EXTRACTION_PROMPT

# pylint: disable=broad-exception-caught

# Set up logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)


def summarize_job_call(job_call: str) -> str:
    '''Extracts and summarizes key information from job call.'''

    client = OpenAI(api_key=os.environ['MODAL_API_KEY'])

    client.base_url = (
        'https://gperdrizet--vllm-openai-compatible-summarization-serve.modal.run/v1'
    )

    # Default to first available model
    model = client.models.list().data[0]
    model_id = model.id

    messages = [
        {
            'role': 'system',
            'content': f'{JOB_CALL_EXTRACTION_PROMPT}{job_call}'
        }
    ]

    completion_args = {
        'model': model_id,
        'messages': messages,
        # "frequency_penalty": args.frequency_penalty,
        # "max_tokens": 128,
        # "n": args.n,
        # "presence_penalty": args.presence_penalty,
        # "seed": args.seed,
        # "stop": args.stop,
        # "stream": args.stream,
        # "temperature": args.temperature,
        # "top_p": args.top_p,
    }

    try:
        response = client.chat.completions.create(**completion_args)

    except Exception as e:
        response = None
        logger.error('Error during Modal API call: %s', e)

    if response is not None:
        summary = response.choices[0].message.content

    else:
        summary = None

    return summary