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Function get_text_units

database_utils.py:351–386  ·  view source on GitHub ↗
(working_dir,chunks_set,chunks_file,k=5)

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349 res.append(ret[0])
350 return res
351def get_text_units(working_dir,chunks_set,chunks_file,k=5):
352 db_name=os.path.basename(working_dir)
353 chunks_list=[]
354 for chunks in chunks_set:
355 if "|" in chunks:
356 temp_chunks=chunks.split("|")
357 else:
358 temp_chunks=[chunks]
359 chunks_list+=temp_chunks
360 counter = Counter(chunks_list)
361
362 # 筛选出出现多次的元素
363 # duplicates = [item for item, count in counter.items() if count > 2]
364 duplicates = [item for item, _ in sorted(
365 [(item, count) for item, count in counter.items() if count > 1],
366 key=lambda x: x[1],
367 reverse=True
368 )[:k]]
369 if len(duplicates)< k:
370 used = set(duplicates)
371 for item, _ in counter.items():
372 if item not in used:
373 duplicates.append(item)
374 used.add(item)
375 if len(duplicates) == k:
376 break
377
378 chunks_dict={}
379 text_units=""
380 with open (chunks_file,'r')as f:
381 chunks_dict= json.load(f)
382 chunks_dict={item["hash_code"]: item["text"] for item in chunks_dict}
383
384 for chunks in duplicates:
385 text_units+=chunks_dict[chunks]+"\n"
386 return text_units
387
388def search_community(entity_name,working_dir):
389 db = pymysql.connect(host='localhost',port=4321, user='root',

Callers 1

query_graphFunction · 0.90

Calls

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Tested by

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