# ==============================================================================
# Project Name: RAG LLM
# Script Name: api.py
# Authors: Abraham Sánchez, Ulises Moya, Alejandro Zarate  
# Description:
#   This Python application provides an API service that retrieves answers to 
#   user queries based on the given context.
#
# License: MIT
# ==============================================================================

from typing import Final


TITLE: Final[str] = 'REST API RAG LLM'
DESCRIPTION: Final[str] = (
    'This API was developed by the Instituto de Información Estadística y Geográfica del Estado de Jalisco. '
    'It is built using FastAPI and is designed to retrieve answers based on user queries and context. '
    'Responses are generated using an LLM model that utilizes Astra DB when documents are available.'
)
DOC_ANSWER: Final[str] = 'Answer generated based on the user query.'
DOC_ANSWER_RESPONSE: Final[str] = 'Response from the REST API.'
DOC_ADD_COLLECTION: Final[str] = 'Add a document file to Astra DB.'
DOC_ANSWER_DETAILS: Final[str] = 'Message indicating any error messages encountered during execution.'
DOC_QUERY_DB: Final[str] = 'Generate a response from a user query using the LLM model.'