我应该写哪个 Django ORM 或 raw SQL 来得到我需要的

Which Django ORM or raw SQL should I write to get exactly what I need

我正在使用 Postgresql。我有型号:

class EventsList(CreatedUpdatedMixin):
    start = models.DateTimeField()
    end = models.DateTimeField()
    is_inner = models.BooleanField()

假设我有那些数据库条目:

start end is_inner
2021-12-09 14:30:12 2021-12-09 15:00:21 true
2021-12-09 14:00:05 2021-12-10 21:00:15 false
2021-12-10 09:00:39 2021-12-10 09:30:50 true
2021-12-10 14:00:00 2021-12-11 15:00:00 true
2021-12-14 10:00:00 2021-12-14 11:00:00 true
2021-12-13 13:30:00 2021-12-16 14:30:00 false
2021-12-14 13:10:00 2021-12-15 00:30:00 true
2021-12-14 10:30:00 2021-12-16 13:34:00 false
2021-12-15 13:30:00 2021-12-15 18:30:00 true

这就是我需要的结果:

[
    {"2021-12-09": {"external_events": 1, "internal_events": 1}},
    {"2021-12-10": {"external_events": 0, "internal_events": 2}},
    {"2021-12-11": {"external_events": 0, "internal_events": 1}},
    {"2021-12-13": {"external_events": 1, "internal_events": 0}},
    {"2021-12-14": {"external_events": 2, "internal_events": 2}},
    {"2021-12-15": {"external_events": 2, "internal_events": 2}},
    {"2021-12-16": {"external_events": 2, "internal_events": 0}},
]

所以我想获取所有现有日期,并为每个日期获取外部事件的计数(其中 is_inner == False)和内部事件的计数(其中 is_inner == True ). 我如何使用 Django ORM 或原始 SQL 来完成? 现在,我想出了

EventsList.objects.annotate(
    start_day=Cast("start", output_field=DateField())
).values("start_day").annotate(
    external_events=Count("id", filter=Q(is_inner=False)),
    internal_events=Count("id", filter=Q(is_inner=True)),
).values(
    "start_day", "external_events", "internal_events"
)

此代码 returns 几乎是正确的结果(但仅适用于“开始”日期)。我需要包括所有日期(开始日期、结束日期以及它们之间的所有日期)。将不胜感激。

首先,要获取所有不在您的数据库中的日期,您需要在最大日期和最小日期之间循环以获取所有日期,并针对每个日期 运行 查询以匹配您想要的过滤器。

使用原始 SQL,首先使用 generate_serieslateral join 扩展日期列表,然后进行条件聚合。所以就在这里,有点冗长,但我希望易于阅读。 SQL Fiddle

with t as
(
 select is_inner, d::date from the_table 
 cross join lateral generate_series
 (
  date_trunc('day', "start"), 
  date_trunc('day', "end"),  
  interval '1 day'
 ) as d
)
select d as event_date, 
       count(*) filter (where not is_inner) external_events,   
       count(*) filter (where is_inner) internal_events
from t
group by d order by d; 

您也可以像这样使用 jsonb_build_object 塑造问题中的 JSON 结构:

with t as
(
 select is_inner, d::date from the_table 
 cross join lateral generate_series
 (
  date_trunc('day', "start"), 
  date_trunc('day', "end"),  
  interval '1 day'
 ) as d
)
select jsonb_build_object
(
  d::text, 
  jsonb_build_object('external_events', count(*) filter (where not is_inner),   
                     'internal_events', count(*) filter (where is_inner))
) as date_info   
from t
group by d order by d; 
date_info
{"2021-12-09": {"external_events": 1, "internal_events": 1}}
{"2021-12-10": {"external_events": 1, "internal_events": 2}}
{"2021-12-11": {"external_events": 0, "internal_events": 1}}
{"2021-12-13": {"external_events": 1, "internal_events": 0}}
{"2021-12-14": {"external_events": 2, "internal_events": 2}}
{"2021-12-15": {"external_events": 2, "internal_events": 2}}
{"2021-12-16": {"external_events": 2, "internal_events": 0}}