本文整理汇总了Python中elasticsearch_dsl.Index.close方法的典型用法代码示例。如果您正苦于以下问题：Python Index.close方法的具体用法？Python Index.close怎么用？Python Index.close使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类elasticsearch_dsl.Index的用法示例。
在下文中一共展示了Index.close方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: __init__
# 需要导入模块: from elasticsearch_dsl import Index [as 别名]
# 或者: from elasticsearch_dsl.Index import close [as 别名]
class ElasticSearchIndex:
def __init__(self, name='qb', similarity='default', bm25_b=None, bm25_k1=None):
self.name = name
self.ix = Index(self.name)
self.answer_doc = create_doctype(self.name, similarity)
if bm25_b is None:
bm25_b = .75
if bm25_k1 is None:
bm25_k1 = 1.2
self.bm25_b = bm25_b
self.bm25_k1 = bm25_k1
def delete(self):
try:
self.ix.delete()
except elasticsearch.exceptions.NotFoundError:
log.info('Could not delete non-existent index.')
def exists(self):
return self.ix.exists()
def init(self):
self.ix.create()
self.ix.close()
self.ix.put_settings(body={'similarity': {
'qb_bm25': {'type': 'BM25', 'b': self.bm25_b, 'k1': self.bm25_k1}}
})
self.ix.open()
self.answer_doc.init(index=self.name)
def build_large_docs(self, documents: Dict[str, str], use_wiki=True, use_qb=True, rebuild_index=False):
if rebuild_index or bool(int(os.getenv('QB_REBUILD_INDEX', 0))):
log.info(f'Deleting index: {self.name}')
self.delete()
if self.exists():
log.info(f'Index {self.name} exists')
else:
log.info(f'Index {self.name} does not exist')
self.init()
wiki_lookup = Wikipedia()
log.info('Indexing questions and corresponding wikipedia pages as large docs...')
for page in tqdm.tqdm(documents):
if use_wiki and page in wiki_lookup:
wiki_content = wiki_lookup[page].text
else:
wiki_content = ''
if use_qb:
qb_content = documents[page]
else:
qb_content = ''
answer = self.answer_doc(
page=page,
wiki_content=wiki_content, qb_content=qb_content
)
answer.save(index=self.name)
def build_many_docs(self, pages, documents, use_wiki=True, use_qb=True, rebuild_index=False):
if rebuild_index or bool(int(os.getenv('QB_REBUILD_INDEX', 0))):
log.info(f'Deleting index: {self.name}')
self.delete()
if self.exists():
log.info(f'Index {self.name} exists')
else:
log.info(f'Index {self.name} does not exist')
self.init()
log.info('Indexing questions and corresponding pages as many docs...')
if use_qb:
log.info('Indexing questions...')
for page, doc in tqdm.tqdm(documents):
self.answer_doc(page=page, qb_content=doc).save()
if use_wiki:
log.info('Indexing wikipedia...')
wiki_lookup = Wikipedia()
for page in tqdm.tqdm(pages):
if page in wiki_lookup:
content = word_tokenize(wiki_lookup[page].text)
for i in range(0, len(content), 200):
chunked_content = content[i:i + 200]
if len(chunked_content) > 0:
self.answer_doc(page=page, wiki_content=' '.join(chunked_content)).save()
def search(self, text: str, max_n_guesses: int,
normalize_score_by_length=False,
wiki_boost=1, qb_boost=1):
if not self.exists():
raise ValueError('The index does not exist, you must create it before searching')
if wiki_boost != 1:
wiki_field = 'wiki_content^{}'.format(wiki_boost)
else:
wiki_field = 'wiki_content'
if qb_boost != 1:
qb_field = 'qb_content^{}'.format(qb_boost)
else:
#.........这里部分代码省略.........