在撰写本文时,现有答案要么不正确(例如过滤匹配具有任何指定标签和正确标签计数的所有问题)或效率低下(例如在循环中附加过滤器)。
适用于以下型号:
class IssueTag(models.Model):
name = models.CharField(max_length=400, blank=True)
class Issue(models.Model):
label = models.CharField(max_length=50, blank=True)
tags = models.ManyToManyField(IssueTag, related_name='issues')
我建议将 Django Annotation 与这样的过滤器结合使用:
from django.db.models import Count, Q
tags_to_match = ['tag1', 'tag2']
issues_containing_all_tags = Issue.objects \
.annotate(num_correct_tags=Count('tags',
filter=Q(tags__name__in=tags_to_match))) \
.filter(num_correct_tags=2)
获取具有所有必需标签的所有问题(但可能有其他标签,如问题中所要求的那样)。
这将产生以下 SQL 查询,解析单个 IN 子句中的所有标记匹配:
SELECT "my_app_issue"."id", "my_app_issue"."label",
COUNT("my_app_issue_tags"."issuetag_id")
FILTER (WHERE "my_app_issuetag"."name" IN ('tag1', 'tag2'))
AS "num_correct_tags"
FROM "my_app_issue"
LEFT OUTER JOIN "my_app_issue_tags" ON ("my_app_issue"."id" = "my_app_issue_tags"."issue_id")
LEFT OUTER JOIN "my_app_issuetag" ON ("my_app_issue_tags"."issuetag_id" = "my_app_issuetag"."id")
GROUP BY "my_app_issue"."id", "my_app_issue"."label"
HAVING COUNT("my_app_issue_tags"."issuetag_id")
FILTER (WHERE ("my_app_issuetag"."name" IN ('tag1', 'tag2'))) = 2;
args=('tag1', 'tag2', 'tag1', 'tag2', 2)