realtime-rag-pipeline / generator /document_utils.py
Gourisankar Padihary
Fix for other datasets
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from typing import List
class Document:
def __init__(self, metadata, page_content):
self.metadata = metadata
self.page_content = page_content
def apply_sentence_keys_documents(relevant_docs: List[Document]):
result = []
'''for i, doc in enumerate(relevant_docs):
doc_id = str(i)
title_passage = doc.page_content.split('\nPassage: ')
title = title_passage[0]
passages = title_passage[1].split('. ')
doc_result = []
doc_result.append([f"{doc_id}a", title])
for j, passage in enumerate(passages):
doc_result.append([f"{doc_id}{chr(98 + j)}", passage])
result.append(doc_result)'''
for relevant_doc_index, relevant_doc in enumerate(relevant_docs):
sentences = []
for sentence_index, sentence in enumerate(relevant_doc.page_content.split(".")):
sentences.append([str(relevant_doc_index)+chr(97 + sentence_index), sentence])
result.append(sentences)
return result
def apply_sentence_keys_response(input_string):
sentences = input_string.split('. ')
result = [[chr(97 + i), sentence] for i, sentence in enumerate(sentences)]
return result