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from pathlib import Path | |
from llama_index.retrievers.bm25 import BM25Retriever | |
from main import extract_court_decision_text | |
PERSIST_PATH = Path("Save_Index_Local") | |
INDEX_NAME = "bm25_retriever" | |
# INDEX_NAME = "bm25_retriever_meta" | |
TEST_CD_URL = "https://reyestr.court.gov.ua/Review/118766467" | |
# TEST_CD_URL = "https://reyestr.court.gov.ua/Review/118763429" | |
PRINT_CD = False | |
retriever = BM25Retriever.from_persist_dir(str(PERSIST_PATH / INDEX_NAME)) | |
court_decision_text = extract_court_decision_text(TEST_CD_URL) | |
if PRINT_CD: | |
print(court_decision_text, "\n\n\n\n\n") | |
nodes_with_score = retriever.retrieve(court_decision_text) | |
for index, node_with_score in enumerate(nodes_with_score, start=1): | |
source_title = node_with_score.node.metadata.get("title", "Невідомий заголовок") | |
print(index, f"{node_with_score.score:.4f}", source_title, "\n", sep="\t") | |