| 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 |