File size: 1,352 Bytes
c55f25f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 | # ==============================================================================
# Project Name: RAG LLM
# Script Name: docprocessor.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 dataclasses import dataclass, field
from ..processors.processor import Processor
from ..consts.stypes import Services
from ..factories.servicefactory import ServiceFactory
from ..utils.logger import Logger
from io import BytesIO
from typing import Any
@dataclass
class DocumentProcessor(Processor):
service: Services
data: BytesIO
filename: str = field(default_factory=str)
collection: str = field(default_factory=str)
result: dict[str, Any] = field(init=False, default_factory=dict)
def run(self) -> None:
Logger.info('Processing request ⚙️ ...')
service = ServiceFactory.create(
stype=self.service, data=self.data, filename=self.filename,
collection=self.collection
)
self.result = service.execute()
Logger.info(f'Process {self.service.name} completed! ✅')
def get(self) -> Any:
return self.result
|