Merge pull request #244 from liangliangyy/es

update elasticsearch
且听风吟 7 years ago committed by GitHub
commit bbc0f6ee07
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@ -3,7 +3,7 @@
"""
@version: ??
@author: liangliangyy
@license: MIT Licence
@license: MIT Licence
@contact: liangliangyy@gmail.com
@site: https://www.lylinux.net/
@software: PyCharm
@ -22,6 +22,8 @@ from django.utils import six
from django.utils.datetime_safe import datetime
from django.utils.encoding import force_text
from elasticsearch_dsl import Q
from haystack.backends import BaseEngine, BaseSearchBackend, BaseSearchQuery, EmptyResults, log_query
from haystack.constants import DJANGO_CT, DJANGO_ID, ID
from haystack.exceptions import MissingDependency, SearchBackendError, SkipDocument
@ -70,7 +72,7 @@ class ElasticSearchBackend(BaseSearchBackend):
def update(self, index, iterable, commit=True):
models = self._get_models()
#self._rebuild(models)
# self._rebuild(models)
def remove(self, obj_or_string):
models = self._get_models()
@ -85,83 +87,38 @@ class ElasticSearchBackend(BaseSearchBackend):
start_offset = kwargs.get('start_offset')
end_offset = kwargs.get('end_offset')
q = Q('bool',
must=[Q('match', body=query_string)],
minimum_should_match="70%"
)
search = ArticleDocument.search() \
.query("match", body=query_string) \
.query('bool', filter=[q]) \
.filter('term', status='p') \
.filter('term', type='a') \
[start_offset: end_offset]
results = search.execute()
return self._process_results(raw_results=results)
def _process_results(self, raw_results, highlight=False,
result_class=None, distance_point=None,
geo_sort=False):
from haystack import connections
results = []
hits = raw_results['hits'].total
facets = {}
spelling_suggestion = None
.source(False)[start_offset: end_offset]
if result_class is None:
result_class = SearchResult
if 'facets' in raw_results:
facets = {
'fields': {},
'dates': {},
'queries': {},
}
# ES can return negative timestamps for pre-1970 data. Handle it.
def from_timestamp(tm):
if tm >= 0:
return datetime.utcfromtimestamp(tm)
else:
return datetime(1970, 1, 1) + timedelta(seconds=tm)
for facet_fieldname, facet_info in raw_results['facets'].items():
if facet_info.get('_type', 'terms') == 'terms':
facets['fields'][facet_fieldname] = [(individual['term'], individual['count']) for individual in
facet_info['terms']]
elif facet_info.get('_type', 'terms') == 'date_histogram':
# Elasticsearch provides UTC timestamps with an extra three
# decimals of precision, which datetime barfs on.
facets['dates'][facet_fieldname] = [(from_timestamp(individual['time'] / 1000),
individual['count'])
for individual in facet_info['entries']]
elif facet_info.get('_type', 'terms') == 'query':
facets['queries'][facet_fieldname] = facet_info['count']
unified_index = connections[self.connection_alias].get_unified_index()
content_field = unified_index.document_field
# articleids = list(map(lambda x: x['_id'], raw_results['hits']['hits']))
# article_results = list(Article.objects.filter(id__in=articleids))
for raw_result in raw_results['hits']['hits']:
results = search.execute()
hits = results['hits'].total
raw_results = []
for raw_result in results['hits']['hits']:
app_label = 'blog'
model_name = 'Article'
additional_fields = {}
if 'highlight' in raw_result:
additional_fields['highlighted'] = raw_result['highlight'].get(content_field, '')
if distance_point:
additional_fields['_point_of_origin'] = distance_point
# if 'highlight' in raw_result:
# additional_fields['highlighted'] = raw_result['highlight'].get(content_field, '')
if geo_sort and raw_result.get('sort'):
from haystack.utils.geo import Distance
additional_fields['_distance'] = Distance(km=float(raw_result['sort'][0]))
else:
additional_fields['_distance'] = None
result_class = SearchResult
result = result_class(app_label, model_name, raw_result['_id'], raw_result['_score'],
**additional_fields)
results.append(result)
raw_results.append(result)
facets = {}
spelling_suggestion = None
return {
'results': results,
'results': raw_results,
'hits': hits,
'facets': facets,
'spelling_suggestion': spelling_suggestion,

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