前端有三个参数:
State
-字符串Categories
-字符串数组。字符串可以包含几个单词。Tags
-与类别相似。所有参数都是可选的。
如果传输了几个,则需要通过AND
(和state
,和category
,和的巧合)实现它们的捆绑包tag
。如果提交categories
tags
了多个或多个,则至少匹配其中一个。
也就是说,如果带有参数的请求到达
{"state": "Alaska", "categories": ["category 1", "category 2"]}
答案将是
state = Alaska
,categories = category 1
;state = Alaska, categories = category 2
; state = Alaska, categories = [category 1, category 2]
; state = Alaska, categories = [category 1, category 3]
(具有至少一种要求的类别)。不合适
state = Alabama, categories = category 1
state = Alaska, categories = 3
state = Alaska, categories = 1 category
(类别名称应为1合1 "category 1" != "1 category"
)要elastikserch
我送从请求python
(3.7)。拿了一个库elasticsearch-dsl
通过对象(在其中使用)收集了三个过滤器。Q
match
combined_filter = state_filter & categories_filter & tags_filter
名单categories
和tags
被分成subfilters through OR
。
query = queries.pop()
for item in queries:
query |= item
为创建了这样的请求elasticsearch
。
Bool(minimum_should_match=1,
must=[Match(state='Alaska'), MatchAll()],
should=[Match(categories='category 1'), Match(categories='category 2')]
)
为什么这个逻辑找到条目不准确 category
/tag
名字?
from typing import List
from elasticsearch import Elasticsearch
from elasticsearch_dsl import Q, Search
from flask import request
from flask.views import MethodView
es = Elasticsearch()
class ArticleSearchAPIView(MethodView):
"""
Search articles using ElasticSearch
"""
@staticmethod
def filter_create(queries: List[Q]) -> Q:
"""
Creates Q.OR filter
"""
query = queries.pop()
for item in queries:
query |= item
return query
def get(self) -> dict:
"""
Search article
First request - with empty params
"""
search = Search(using=es, index=ArticleModel.__tablename__)
state_filter = categories_filter = tags_filter = Q()
result = "Articles not found."
data = request.get_json()
categories = data.get("categories")
tags = data.get("tags")
state = data.get("state")
if state:
state_filter = Q("match", state=state)
if categories:
queries = [Q("match", categories=value) for value in categories]
categories_filter = self.filter_create(queries)
if tags:
queries = [Q("match", tags=value) for value in tags]
tags_filter = self.filter_create(queries)
combined_filter = state_filter & categories_filter & tags_filter
found = (
search.filter(combined_filter)
.execute()
.to_dict()["hits"]
.get("hits")
)
if found:
result = [article["_source"] for article in found]
return {"response": result}
更新资料
Article and Category
和Article and Tag
-之间的关系MTM
制图
{
"articles": {
"mappings": {
"properties": {
...
"categories": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"state": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"tags": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
}
...
}
}
}
}
我决定elasticsearch-dsl
在这里不需要使用。
这是我做出的决定。
from typing import Dict, List, Tuple, Union
from elasticsearch import Elasticsearch
from flask import request
from flask.views import MethodView
from .models import AticleModel # ArticleModel.__tablename__ == "articles"
es = Elasticsearch()
class ArticleSearchAPIView(MethodView):
"""
Search articles using ElasticSearch
"""
def get(
self,
) -> Union[
Dict[str, Union[list, List[str]]],
Tuple[Dict[str, str], int],
Dict[str, Union[list, str]],
]:
"""
Search articles
"""
data = request.get_json()
categories = data.get("categories")
tags = data.get("tags")
state = data.get("state")
result = "Articles not found."
query = {"bool": {"must": []}}
if state:
query["bool"]["must"].append({"term": {"state.keyword": state}})
if categories:
query["bool"]["must"].append(
{"terms": {"categories.keyword": categories}}
)
if tags:
query["bool"]["must"].append({"terms": {"tags.keyword": tags}})
found = es.search(
index=ArticleModel.__tablename__, body={"query": query},
)["hits"].get("hits")
if found:
result = [article["_source"] for article in found]
return {"response": result}
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