[英]Django elasticsearch dsl term and phrase search is not working
我使用了兩個包(即django-elasticsearch-dsl==7.1.4
和django-elasticsearch-dsl-drf==0.20.8
)將搜索引擎添加到我的 Django 項目中。 我用彈性索引的模型是:
class Article(models.Model):
created_time = models.DateTimeField(_('created time'), auto_now_add=True)
updated_time = models.DateTimeField(_('updated time'), auto_now=True)
profile = models.ForeignKey('accounts.UserProfile', verbose_name=_('profile'), on_delete=models.PROTECT)
approved_user = models.ForeignKey(settings.AUTH_USER_MODEL, verbose_name=_('approved user'), blank=True, null=True, editable=False, on_delete=models.CASCADE, related_name='article_approved_users')
approved_time = models.DateTimeField(_('approved time'), blank=True, null=True, db_index=True, editable=False)
title = models.CharField(_('title'), max_length=50)
image = models.ImageField(_('image'), blank=True, upload_to=article_directory_path)
slug = models.SlugField(_('slug'), max_length=50, unique=True)
content = models.TextField(_('content'))
summary = models.TextField(_('summary'))
views_count = models.PositiveIntegerField(verbose_name=_('views count'), default=int, editable=False)
is_free = models.BooleanField(_('is free'), default=True)
is_enable = models.BooleanField(_('is enable'), default=True)
tags = TaggableManager(verbose_name=_('tags'), related_name='articles')
categories = models.ManyToManyField('Category', verbose_name=_('categories'), related_name='articles')
namads = models.ManyToManyField('namads.Namad', verbose_name=_('namads'), related_name='articles', blank=True)
我使用以下文檔來索引我的Article
模型:
html_strip = analyzer(
'html_strip',
tokenizer="whitespace",
filter=["lowercase", "stop", "snowball"],
char_filter=["html_strip"]
)
@registry.register_document
class ArticleDocument(Document):
title = fields.TextField(
analyzer=html_strip,
fields={
'raw': fields.TextField(analyzer='keyword'),
'suggest': fields.CompletionField(),
}
)
tags = fields.ObjectField(
properties={
"name": fields.TextField(
analyzer=html_strip,
fields={
'raw': fields.TextField(analyzer='keyword'),
'suggest': fields.CompletionField(),
}
)
}
)
categories = fields.ObjectField(
properties={
'id': fields.IntegerField(),
'title': fields.TextField(
analyzer=html_strip,
fields={
'raw': fields.TextField(analyzer='keyword'),
'suggest': fields.CompletionField(),
}
)
}
)
namads = fields.ObjectField(
properties={
"id": fields.IntegerField(),
"name": fields.TextField(
analyzer=html_strip,
fields={
'raw': fields.TextField(analyzer='keyword'),
'suggest': fields.CompletionField(),
}
),
"group_name": fields.TextField(
analyzer=html_strip,
fields={
'raw': fields.TextField(analyzer='keyword'),
'suggest': fields.CompletionField(),
}
)
}
)
class Index:
name = settings.ARTICLE_INDEX_NAME
settings = {
"number_of_shards": 1,
"number_of_replicas": 0
}
def get_queryset(self):
return super(ArticleDocument, self).get_queryset().filter(
approved_user__isnull=False,
is_enable=True
).prefetch_related(
'tags',
'categories',
'namads'
)
class Django:
model = Article
fields = ['id', 'summary']
最后使用以下視圖集對其結果進行搜索(基於此文檔。)
class ArticleSearchViewSet(DocumentViewSet):
"""
list:
Search on all articles, ordered by most recently added.
query parameters
- Search fields: 'title', 'summary', 'tags.name', 'categories.title', 'namads.name',
'namads.group_name' . Ex: ?search=some random name.
retrieve:
Return a specific article details.
"""
serializer_class = ArticleDocumentSerializer
document = ArticleDocument
pagination_class = PageNumberPagination
lookup_field = 'id'
filter_backends = [
FilteringFilterBackend,
IdsFilterBackend,
OrderingFilterBackend,
DefaultOrderingFilterBackend,
CompoundSearchFilterBackend,
SuggesterFilterBackend,
]
search_fields = (
'title',
'summary',
'tags.name',
'categories.title',
'namads.name',
'namads.group_name'
)
filter_fields = {
'id': {
'field': 'id',
# Note, that we limit the lookups of id field in this example,
# to `range`, `in`, `gt`, `gte`, `lt` and `lte` filters.
'lookups': [
LOOKUP_FILTER_RANGE,
LOOKUP_QUERY_IN,
LOOKUP_QUERY_GT,
LOOKUP_QUERY_GTE,
LOOKUP_QUERY_LT,
LOOKUP_QUERY_LTE,
],
},
'namads': {
'field': 'namads',
# Note, that we limit the lookups of `pages` field in this
# example, to `range`, `gt`, `gte`, `lt` and `lte` filters.
'lookups': [
LOOKUP_FILTER_RANGE,
LOOKUP_QUERY_GT,
LOOKUP_QUERY_GTE,
LOOKUP_QUERY_LT,
LOOKUP_QUERY_LTE,
],
},
'title': "title.raw",
'summary': 'summary',
'categories': {
'field': 'categories',
# Note, that we limit the lookups of `pages` field in this
# example, to `range`, `gt`, `gte`, `lt` and `lte` filters.
'lookups': [
LOOKUP_FILTER_RANGE,
LOOKUP_QUERY_GT,
LOOKUP_QUERY_GTE,
LOOKUP_QUERY_LT,
LOOKUP_QUERY_LTE,
],
},
'tags': {
'field': 'tags',
# Note, that we limit the lookups of `tags` field in
# this example, to `terms, `prefix`, `wildcard`, `in` and
# `exclude` filters.
'lookups': [
LOOKUP_FILTER_TERMS,
LOOKUP_FILTER_PREFIX,
LOOKUP_FILTER_WILDCARD,
LOOKUP_QUERY_IN,
LOOKUP_QUERY_EXCLUDE,
],
},
}
# Suggester fields
suggester_fields = {
'title_suggest': {
'field': 'title.suggest',
'suggesters': [
SUGGESTER_TERM,
SUGGESTER_COMPLETION,
SUGGESTER_PHRASE,
],
'default_suggester': SUGGESTER_COMPLETION,
'options': {
'size': 10, # Number of suggestions to retrieve.
'skip_duplicates': True, # Whether duplicate suggestions should be filtered out.
},
},
'tags_suggest': {
'field': 'tags.name.suggest',
'suggesters': [
SUGGESTER_COMPLETION,
],
# 'options': {
# 'size': 20, # Override default number of suggestions
# },
},
'categories_suggest': {
'field': 'categories.title.suggest',
'suggesters': [
SUGGESTER_TERM,
SUGGESTER_COMPLETION,
SUGGESTER_PHRASE,
],
},
'namads_name_suggest': {
'field': 'namads.name.suggest',
'suggesters': [
SUGGESTER_COMPLETION,
],
},
'namad_group_name_suggest': {
'field': 'namads.group_name.suggest',
'suggesters': [
SUGGESTER_COMPLETION,
],
},
}
ordering_fields = {
'id': 'id',
'title': 'title',
'summary': 'summary',
}
# Specify default ordering
ordering = ('-id', )
我的文檔序列化程序是:
class ArticleDocumentSerializer(DocumentSerializer):
class Meta:
document = ArticleDocument
fields = ['id', 'title', 'summary', 'namads', 'categories', 'tags']
一切正常,除非我使用帶有以下查詢參數的term
和phrase
搜索:
?title_suggest__phrase=fi
?title_suggest__term=fi
在 url localhost/api/v1/blog/articles-search/suggest/
但在這兩種情況下,結果都相同,如下所示:
{
"title_suggest__term": [
{
"text": "fi",
"offset": 0,
"length": 2,
"options": []
}
]
}.
而且我很確定我的索引中有First article
,當我使用完成建議器時,一切正常(即?title_suggest__completion=fi
)並返回結果。 我錯過了什么嗎? 我想在我的項目中添加術語和短語搜索。 如何解決此問題(術語和短語結果為 0)?
問題出在我的建議者配置中。 首先, term
和phrase
建議我們不需要完成字段(即'suggest': fields.CompletionField()
),我們只需要在我們的Index
聲明我們的字段,例如:
title = fields.TextField(
fields={
'raw': fields.TextField(analyzer=html_strip)
}
) # which goes in documents.py
只需將以下內容添加到任何字段即可啟用term
和phrase
建議:
suggester_fields = {
'title_suggest': {
'field': 'title',
'suggesters': [
SUGGESTER_TERM,
SUGGESTER_PHRASE,
],
},
} # Which goes in views.py and search view suggester_fields
並查看相關的建議結果,我們應該發送查詢參數,如?title_suggest__term=something
或?title_suggest__phrase=something
。 最后,如果我們也需要向建議字段添加完成,我們應該使用其他一些鍵添加它,例如:
suggester_fields = {
'title_suggest': {
'field': 'title',
'suggesters': [
SUGGESTER_TERM,
SUGGESTER_PHRASE,
],
},
'title': {
'field': 'title',
'suggesters': [
SUGGESTER_COMPLETION,
],
},
}
現在有了這個配置,我們有關於標題字段的三種類型的建議(即term
, phrase
和completion
)。 因此,如果我們想要基於這三個建議器的整個結果,我們應該使用三個查詢參數,例如:
localhost/api/v1/blog/articles-search/suggest/?title_suggest__term=something&title_suggest__phrase=something&title__completion=something
並且不要忘記更改Index
的字段配置(以防我們需要完成建議):
title = fields.TextField(
fields={
'raw': fields.TextField(analyzer=html_strip),
'suggest': fields.CompletionField(),
}
) # Which goes in documents.py
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