def fulltext(self):
"""obtain error counts from elasticsearch """
u = conf['ELASTICSEARCH_URL']
es = elasticsearch2.Elasticsearch(u)
pipeline = 'backoffice-fulltext_pipeline'
# get start time
start = Search(using=es, index='_all') \
.query('match', **{'@message': 'Loading records from: /proj/ads/abstracts/config/links/fulltext/all.links'}) \
.filter('match', **{'_type': pipeline}) \
.execute() \
.hits[0] \
.timestamp
# convert to datetime object
start = datetime.strptime(start.split('.')[0], '%Y-%m-%dT%H:%M:%S')
self.values['ft_start'] = start
# fulltext pipeline runs for ~15 hours without forcing extraction
if (datetime.now() - start) < timedelta(hours=15):
print("fulltext pipeline is most likely not done processing.")
else:
total_num_errors = 0
for err in conf['FULLTEXT_ERRORS']:
bibs = []
s = Search(using=es, index='_all') \
.filter('range', **{'@timestamp': {'gte': start, 'lt': 'now'}}) \
.query('query_string', query=err) \
.filter('match', **{'_type': pipeline})
err_str = "_".join(err.split('"')[1].split()).replace(
'-', '_').replace(']', '').replace('[', '')
filename = str(start).split()[0] + "_" + err_str + ".txt"
dir = "data/ft/" + err_str + '/' + filename
#if not os.path.isfile(dir):
with open(dir, "w") as f:
for hit in s.scan():
if "Retrying" in hit.message:
continue
if (re.findall(r"'(.*?)'", hit.message)[0]
== 'bibcode') or (re.findall(
r"'(.*?)'", hit.message)[0] == 'UPDATE'):
bib = re.search(r"u'bibcode': u'(.*?)'",
hit.message).group(1)
f.write(bib + '\n')
bibs.append(bib)
else:
bib = re.findall(r"'(.*?)'", hit.message)[0]
f.write(bib + '\n')
bibs.append(bib)
count = len(set(bibs))
self.values[err_str + "_total"] = count
total_num_errors += count
self.values['total_fulltext_errors'] = total_num_errors
def post(self, request):
es = Elasticsearch([{'host': ELASTICSEARCH_HOST, 'port': '9200'}])
req = JSONParser().parse(request)
data = req['search']
if not data:
return Response(status=status.HTTP_400_BAD_REQUEST,
data={'message': 'search word param is missing'})
# 검색어 전처리
# : 기준 split
data_list = []
search_words = data.split(":")
# 전체검색
if len(search_words) <= 1:
m = MultiMatch(query=search_words[0],
fields=[
"category",
"region",
"distance",
"transportation",
"_explain",
"point_name",
])
s = Search(using=es, index='walkingtrails-index').query(m)[:10000]
res = s.execute()
for data in res:
data_list.append(data.to_dict())
return Response(data_list)
# 쿼리별 검색
key = None
for s in search_words:
key = transkey(key)
words = s.split(' ')
if key == None:
key = words[0]
continue
try:
value = " ".join(words[:len(words) -
1]) if len(words) > 2 else words[0]
if "'" in value:
value = re.sub("\'", "", value)
s = Search(using=es, index='walkingtrails-index').query(
'term', point_name=value)[:10000]
else:
# if key == 'dog_ok':
m = MultiMatch(query=value, fields=[key])
s = Search(using=es,
index='walkingtrails-index').query(m)[:10000]
res = s.execute()
d_list = []
for data in res:
d_list.append(data.to_dict())
data_list.append(d_list)
key = words[-1]
except:
return Response(status=status.HTTP_400_BAD_REQUEST,
data={'message': 'wrong query'})
# s = Search(using=es, index='walkingtrails-index').query(
# 'multi_match',
# query=data,
# fuzziness='auto',
# fields=['region']
# )[:10000]
result = data_list[0]
for data_li in data_list:
result = list(
map(
dict,
set(tuple(sorted(d.items())) for d in result)
& set(tuple(sorted(d.items())) for d in data_li)))
return Response(result)