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update docs and readme

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collerek
2021-04-21 11:28:49 +02:00
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45
docs/index.md
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@ -220,7 +220,10 @@ async def create():
async def read():
# Fetch an instance, without loading a foreign key relationship on it.
# Django style
book = await Book.objects.get(title="The Hobbit")
# or python style
book = await Book.objects.get(Book.title == "The Hobbit")
book2 = await Book.objects.first()
# first() fetch the instance with lower primary key value
@ -334,20 +337,30 @@ async def filter_and_sort():
# get(), all() etc.
# to use special methods or access related model fields use double
# underscore like to filter by the name of the author use author__name
# Django style
books = await Book.objects.all(author__name="J.R.R. Tolkien")
# python style
books = await Book.objects.all(Book.author.name == "J.R.R. Tolkien")
assert len(books) == 3
# filter can accept special methods also separated with double underscore
# to issue sql query ` where authors.name like "%tolkien%"` that is not
# case sensitive (hence small t in Tolkien)
# Django style
books = await Book.objects.filter(author__name__icontains="tolkien").all()
# python style
books = await Book.objects.filter(Book.author.name.icontains("tolkien")).all()
assert len(books) == 3
# to sort use order_by() function of queryset
# to sort decreasing use hyphen before the field name
# same as with filter you can use double underscores to access related fields
# Django style
books = await Book.objects.filter(author__name__icontains="tolkien").order_by(
"-year").all()
# python style
books = await Book.objects.filter(Book.author.name.icontains("tolkien")).order_by(
Book.year.desc()).all()
assert len(books) == 3
assert books[0].title == "The Silmarillion"
assert books[2].title == "The Hobbit"
@ -417,12 +430,24 @@ async def pagination():
async def aggregations():
# ormar currently supports count:
# count:
assert 2 == await Author.objects.count()
# and exists
# exists:
assert await Book.objects.filter(title="The Hobbit").exists()
# max:
assert 1990 == await Book.objects.max(columns=["year"])
# min:
assert 1937 == await Book.objects.min(columns=["year"])
# avg:
assert 1964.75 == await Book.objects.avg(columns=["year"])
# sum:
assert 7859 == await Book.objects.sum(columns=["year"])
# to read more about aggregated functions
# visit: https://collerek.github.io/ormar/queries/aggregations/
@ -448,16 +473,16 @@ metadata.drop_all(engine)
### QuerySet methods
* `create(**kwargs): -> Model`
* `get(**kwargs): -> Model`
* `get_or_none(**kwargs): -> Optional[Model]`
* `get_or_create(**kwargs) -> Model`
* `first(): -> Model`
* `get(*args, **kwargs): -> Model`
* `get_or_none(*args, **kwargs): -> Optional[Model]`
* `get_or_create(*args, **kwargs) -> Model`
* `first(*args, **kwargs): -> Model`
* `update(each: bool = False, **kwargs) -> int`
* `update_or_create(**kwargs) -> Model`
* `bulk_create(objects: List[Model]) -> None`
* `bulk_update(objects: List[Model], columns: List[str] = None) -> None`
* `delete(each: bool = False, **kwargs) -> int`
* `all(**kwargs) -> List[Optional[Model]]`
* `delete(*args, each: bool = False, **kwargs) -> int`
* `all(*args, **kwargs) -> List[Optional[Model]]`
* `filter(*args, **kwargs) -> QuerySet`
* `exclude(*args, **kwargs) -> QuerySet`
* `select_related(related: Union[List, str]) -> QuerySet`
@ -466,6 +491,10 @@ metadata.drop_all(engine)
* `offset(offset: int) -> QuerySet`
* `count() -> int`
* `exists() -> bool`
* `max(columns: List[str]) -> Any`
* `min(columns: List[str]) -> Any`
* `avg(columns: List[str]) -> Any`
* `sum(columns: List[str]) -> Any`
* `fields(columns: Union[List, str, set, dict]) -> QuerySet`
* `exclude_fields(columns: Union[List, str, set, dict]) -> QuerySet`
* `order_by(columns:Union[List, str]) -> QuerySet`

307
docs/queries/filter-and-sort.md
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@ -2,27 +2,27 @@
You can use following methods to filter the data (sql where clause).
* `filter(**kwargs) -> QuerySet`
* `exclude(**kwargs) -> QuerySet`
* `get(**kwargs) -> Model`
* `get_or_none(**kwargs) -> Optional[Model]`
* `get_or_create(**kwargs) -> Model`
* `all(**kwargs) -> List[Optional[Model]]`
* `filter(*args, **kwargs) -> QuerySet`
* `exclude(*args, **kwargs) -> QuerySet`
* `get(*args, **kwargs) -> Model`
* `get_or_none(*args, **kwargs) -> Optional[Model]`
* `get_or_create(*args, **kwargs) -> Model`
* `all(*args, **kwargs) -> List[Optional[Model]]`
* `QuerysetProxy`
* `QuerysetProxy.filter(**kwargs)` method
* `QuerysetProxy.exclude(**kwargs)` method
* `QuerysetProxy.get(**kwargs)` method
* `QuerysetProxy.get_or_none(**kwargs)` method
* `QuerysetProxy.get_or_create(**kwargs)` method
* `QuerysetProxy.all(**kwargs)` method
* `QuerysetProxy.filter(*args, **kwargs)` method
* `QuerysetProxy.exclude(*args, **kwargs)` method
* `QuerysetProxy.get(*args, **kwargs)` method
* `QuerysetProxy.get_or_none(*args, **kwargs)` method
* `QuerysetProxy.get_or_create(*args, **kwargs)` method
* `QuerysetProxy.all(*args, **kwargs)` method
And following methods to sort the data (sql order by clause).
* `order_by(columns:Union[List, str]) -> QuerySet`
* `order_by(columns:Union[List, str, OrderAction]) -> QuerySet`
* `QuerysetProxy`
* `QuerysetProxy.order_by(columns:Union[List, str])` method
* `QuerysetProxy.order_by(columns:Union[List, str, OrderAction])` method
## Filtering
@ -65,24 +65,107 @@ tracks = Track.objects.filter(album__name="Fantasies").all()
# will return all tracks where the columns album name = 'Fantasies'
```
### Django style filters
You can use special filter suffix to change the filter operands:
* exact - like `album__name__exact='Malibu'` (exact match)
* iexact - like `album__name__iexact='malibu'` (exact match case insensitive)
* contains - like `album__name__contains='Mal'` (sql like)
* icontains - like `album__name__icontains='mal'` (sql like case insensitive)
* in - like `album__name__in=['Malibu', 'Barclay']` (sql in)
* isnull - like `album__name__isnull=True` (sql is null)
(isnotnull `album__name__isnull=False` (sql is not null))
* gt - like `position__gt=3` (sql >)
* gte - like `position__gte=3` (sql >=)
* lt - like `position__lt=3` (sql <)
* lte - like `position__lte=3` (sql <=)
* startswith - like `album__name__startswith='Mal'` (exact start match)
* istartswith - like `album__name__istartswith='mal'` (exact start match case
insensitive)
* endswith - like `album__name__endswith='ibu'` (exact end match)
* iendswith - like `album__name__iendswith='IBU'` (exact end match case insensitive)
* exact - exact match to value, sql `column = <VALUE>`
* can be written as`album__name__exact='Malibu'`
* iexact - exact match sql `column = <VALUE>` (case insensitive)
* can be written as`album__name__iexact='malibu'`
* contains - sql `column LIKE '%<VALUE>%'`
* can be written as`album__name__contains='Mal'`
* icontains - sql `column LIKE '%<VALUE>%'` (case insensitive)
* can be written as`album__name__icontains='mal'`
* in - sql ` column IN (<VALUE1>, <VALUE2>, ...)`
* can be written as`album__name__in=['Malibu', 'Barclay']`
* isnull - sql `column IS NULL` (and sql `column IS NOT NULL`)
* can be written as`album__name__isnull=True` (isnotnull `album__name__isnull=False`)
* gt - sql `column > <VALUE>` (greater than)
* can be written as`position__gt=3`
* gte - sql `column >= <VALUE>` (greater or equal than)
* can be written as`position__gte=3`
* lt - sql `column < <VALUE>` (lower than)
* can be written as`position__lt=3`
* lte - sql `column <= <VALUE>` (lower equal than)
* can be written as`position__lte=3`
* startswith - sql `column LIKE '<VALUE>%'` (exact start match)
* can be written as`album__name__startswith='Mal'`
* istartswith - sql `column LIKE '<VALUE>%'` (case insensitive)
* can be written as`album__name__istartswith='mal'`
* endswith - sql `column LIKE '%<VALUE>'` (exact end match)
* can be written as`album__name__endswith='ibu'`
* iendswith - sql `column LIKE '%<VALUE>'` (case insensitive)
* can be written as`album__name__iendswith='IBU'`
Some samples:
```python
# sql: ( product.name = 'Test' AND product.rating >= 3.0 )
Product.objects.filter(name='Test', rating__gte=3.0).get()
# sql: ( product.name = 'Test' AND product.rating >= 3.0 )
# OR (categories.name IN ('Toys', 'Books'))
Product.objects.filter(
ormar.or_(
ormar.and_(name='Test', rating__gte=3.0),
categories__name__in=['Toys', 'Books'])
).get()
# note: to read more about and_ and or_ read complex filters section below
```
### Python style filters
* exact - exact match to value, sql `column = <VALUE>`
* can be written as `Track.album.name == 'Malibu`
* iexact - exact match sql `column = <VALUE>` (case insensitive)
* can be written as `Track.album.name.iexact('malibu')`
* contains - sql `column LIKE '%<VALUE>%'`
* can be written as `Track.album.name % 'Mal')`
* can be written as `Track.album.name.contains('Mal')`
* icontains - sql `column LIKE '%<VALUE>%'` (case insensitive)
* can be written as `Track.album.name.icontains('mal')`
* in - sql ` column IN (<VALUE1>, <VALUE2>, ...)`
* can be written as `Track.album.name << ['Malibu', 'Barclay']`
* can be written as `Track.album.name.in_(['Malibu', 'Barclay'])`
* isnull - sql `column IS NULL` (and sql `column IS NOT NULL`)
* can be written as `Track.album.name >> None`
* can be written as `Track.album.name.is_null(True)`
* not null can be written as `Track.album.name.is_null(False)`
* not null can be written as `~(Track.album.name >> None)`
* not null can be written as `~(Track.album.name.is_null(True))`
* gt - sql `column > <VALUE>` (greater than)
* can be written as `Track.album.name > 3`
* gte - sql `column >= <VALUE>` (greater or equal than)
* can be written as `Track.album.name >= 3`
* lt - sql `column < <VALUE>` (lower than)
* can be written as `Track.album.name < 3`
* lte - sql `column <= <VALUE>` (lower equal than)
* can be written as `Track.album.name <= 3`
* startswith - sql `column LIKE '<VALUE>%'` (exact start match)
* can be written as `Track.album.name.startswith('Mal')`
* istartswith - sql `column LIKE '<VALUE>%'` (case insensitive)
* can be written as `Track.album.name.istartswith('mal')`
* endswith - sql `column LIKE '%<VALUE>'` (exact end match)
* can be written as `Track.album.name.endswith('ibu')`
* iendswith - sql `column LIKE '%<VALUE>'` (case insensitive)
* can be written as `Track.album.name.iendswith('IBU')`
Some samples:
```python
# sql: ( product.name = 'Test' AND product.rating >= 3.0 )
Product.objects.filter(
(Product.name == 'Test') & (Product.rating >=3.0)
).get()
# sql: ( product.name = 'Test' AND product.rating >= 3.0 )
# OR (categories.name IN ('Toys', 'Books'))
Product.objects.filter(
((Product.name='Test') & (Product.rating >= 3.0)) |
(Product.categories.name << ['Toys', 'Books'])
).get()
```
!!!note
All methods that do not return the rows explicitly returns a QueySet instance so
@ -155,7 +238,7 @@ In order to build `OR` and nested conditions ormar provides two functions that c
`filter()` and `exclude()` in `QuerySet` and `QuerysetProxy`.
!!!note
Note that you cannot provide those methods in any other method like `get()` or `all()` which accepts only keyword arguments.
Note that you can provide those methods in any other method like `get()` or `all()` that accepts `*args`.
Call to `or_` and `and_` can be nested in each other, as well as combined with keyword arguments.
Since it sounds more complicated than it is, let's look at some examples.
@ -208,6 +291,7 @@ Let's select books of Tolkien **OR** books written after 1970
sql:
`WHERE ( authors.name = 'J.R.R. Tolkien' OR books.year > 1970 )`
### Django style
```python
books = (
await Book.objects.select_related("author")
@ -217,11 +301,22 @@ books = (
assert len(books) == 5
```
### Python style
```python
books = (
await Book.objects.select_related("author")
.filter((Book.author.name=="J.R.R. Tolkien") | (Book.year > 1970))
.all()
)
assert len(books) == 5
```
Now let's select books written after 1960 or before 1940 which were written by Tolkien.
sql:
`WHERE ( books.year > 1960 OR books.year < 1940 ) AND authors.name = 'J.R.R. Tolkien'`
### Django style
```python
# OPTION 1 - split and into separate call
books = (
@ -249,11 +344,38 @@ assert books[0].title == "The Hobbit"
assert books[1].title == "The Silmarillion"
```
### Python style
```python
books = (
await Book.objects.select_related("author")
.filter((Book.year > 1960) | (Book.year < 1940))
.filter(Book.author.name == "J.R.R. Tolkien")
.all()
)
assert len(books) == 2
# OPTION 2 - all in one
books = (
await Book.objects.select_related("author")
.filter(
(
(Book.year > 1960) | (Book.year < 1940)
) & (Book.author.name == "J.R.R. Tolkien")
)
.all()
)
assert len(books) == 2
assert books[0].title == "The Hobbit"
assert books[1].title == "The Silmarillion"
```
Books of Sapkowski from before 2000 or books of Tolkien written after 1960
sql:
`WHERE ( ( books.year > 1960 AND authors.name = 'J.R.R. Tolkien' ) OR ( books.year < 2000 AND authors.name = 'Andrzej Sapkowski' ) ) `
### Django style
```python
books = (
await Book.objects.select_related("author")
@ -268,7 +390,20 @@ books = (
assert len(books) == 2
```
Of course those functions can have more than 2 conditions, so if we for example want also
### Python style
```python
books = (
await Book.objects.select_related("author")
.filter(
((Book.year > 1960) & (Book.author.name == "J.R.R. Tolkien")) |
((Book.year < 2000) & (Book.author.name == "Andrzej Sapkowski"))
)
.all()
)
assert len(books) == 2
```
Of course those functions can have more than 2 conditions, so if we for example want
books that contains 'hobbit':
sql:
@ -276,6 +411,7 @@ sql:
( books.year < 2000 AND os0cec_authors.name = 'Andrzej Sapkowski' ) OR
books.title LIKE '%hobbit%' )`
### Django style
```python
books = (
await Book.objects.select_related("author")
@ -290,6 +426,19 @@ books = (
)
```
### Python style
```python
books = (
await Book.objects.select_related("author")
.filter(
((Book.year > 1960) & (Book.author.name == "J.R.R. Tolkien")) |
((Book.year < 2000) & (Book.author.name == "Andrzej Sapkowski")) |
(Book.title.icontains("hobbit"))
)
.all()
)
```
If you want or need to you can nest deeper conditions as deep as you want, in example to
achieve a query like this:
@ -301,6 +450,28 @@ AND authors.name = 'J.R.R. Tolkien' ) OR
```
You can construct a query as follows:
### Django style
```python
books = (
await Book.objects.select_related("author")
.filter(
ormar.or_(
ormar.and_(
ormar.or_(year__gt=1960, year__lt=1940),
author__name="J.R.R. Tolkien",
),
ormar.and_(year__lt=2000, author__name="Andrzej Sapkowski"),
)
)
.all()
)
assert len(books) == 3
assert books[0].title == "The Hobbit"
assert books[1].title == "The Silmarillion"
assert books[2].title == "The Witcher"
```
```python
books = (
await Book.objects.select_related("author")
@ -339,10 +510,12 @@ assert len(books) == 1
assert books[0].title == "The Witcher"
```
Same applies to python style chaining and nesting.
!!!note
Note that you cannot provide the same keyword argument several times so queries like `filter(ormar.or_(name='Jack', name='John'))` are not allowed. If you want to check the same
column for several values simply use `in` operator: `filter(name__in=['Jack','John'])`.
### Django style
Note that with django style you cannot provide the same keyword argument several times so queries like `filter(ormar.or_(name='Jack', name='John'))` are not allowed. If you want to check the same
column for several values simply use `in` operator: `filter(name__in=['Jack','John'])`.
If you pass only one parameter to `or_` or `and_` functions it's simply wrapped in parenthesis and
has no effect on actual query, so in the end all 3 queries are identical:
@ -386,13 +559,28 @@ books = (
assert len(books) == 5
```
### Python style
Note that with python style you can perfectly use the same fields as many times as you want.
```python
books = (
await Book.objects.select_related("author")
.filter(
(Book.author.name.icontains("tolkien")) |
(Book.author.name.icontains("sapkowski"))
))
.all()
)
```
## get
`get(**kwargs) -> Model`
`get(*args, **kwargs) -> Model`
Get's the first row from the db meeting the criteria set by kwargs.
When any kwargs are passed it's a shortcut equivalent to calling `filter(**kwargs).get()`
When any args and/or kwargs are passed it's a shortcut equivalent to calling `filter(*args, **kwargs).get()`
!!!tip
To read more about `filter` go to [filter](./#filter).
@ -403,14 +591,13 @@ When any kwargs are passed it's a shortcut equivalent to calling `filter(**kwarg
Exact equivalent of get described above but instead of raising the exception returns `None` if no db record matching the criteria is found.
## get_or_create
`get_or_create(**kwargs) -> Model`
`get_or_create(*args, **kwargs) -> Model`
Combination of create and get methods.
When any kwargs are passed it's a shortcut equivalent to calling `filter(**kwargs).get_or_create()`
When any args and/or kwargs are passed it's a shortcut equivalent to calling `filter(*args, **kwargs).get_or_create()`
!!!tip
To read more about `filter` go to [filter](./#filter).
@ -423,11 +610,11 @@ When any kwargs are passed it's a shortcut equivalent to calling `filter(**kwarg
## all
`all(**kwargs) -> List[Optional["Model"]]`
`all(*args, **kwargs) -> List[Optional["Model"]]`
Returns all rows from a database for given model for set filter options.
When any kwargs are passed it's a shortcut equivalent to calling `filter(**kwargs).all()`
When any kwargs are passed it's a shortcut equivalent to calling `filter(*args, **kwargs).all()`
!!!tip
To read more about `filter` go to [filter](./#filter).
@ -493,7 +680,7 @@ objects from other side of the relation.
### order_by
`order_by(columns: Union[List, str]) -> QuerySet`
`order_by(columns: Union[List, str, OrderAction]) -> QuerySet`
With `order_by()` you can order the results from database based on your choice of
fields.
@ -534,6 +721,7 @@ Given sample Models like following:
To order by main model field just provide a field name
### Django style
```python
toys = await Toy.objects.select_related("owner").order_by("name").all()
assert [x.name.replace("Toy ", "") for x in toys] == [
@ -543,11 +731,23 @@ assert toys[0].owner == zeus
assert toys[1].owner == aphrodite
```
### Python style
```python
toys = await Toy.objects.select_related("owner").order_by(Toy.name.asc()).all()
assert [x.name.replace("Toy ", "") for x in toys] == [
str(x + 1) for x in range(6)
]
assert toys[0].owner == zeus
assert toys[1].owner == aphrodite
```
To sort on nested models separate field names with dunder '__'.
You can sort this way across all relation types -> `ForeignKey`, reverse virtual FK
and `ManyToMany` fields.
### Django style
```python
toys = await Toy.objects.select_related("owner").order_by("owner__name").all()
assert toys[0].owner.name == toys[1].owner.name == "Aphrodite"
@ -555,8 +755,17 @@ assert toys[2].owner.name == toys[3].owner.name == "Hermes"
assert toys[4].owner.name == toys[5].owner.name == "Zeus"
```
### Python style
```python
toys = await Toy.objects.select_related("owner").order_by(Toy.owner.name.asc()).all()
assert toys[0].owner.name == toys[1].owner.name == "Aphrodite"
assert toys[2].owner.name == toys[3].owner.name == "Hermes"
assert toys[4].owner.name == toys[5].owner.name == "Zeus"
```
To sort in descending order provide a hyphen in front of the field name
### Django style
```python
owner = (
await Owner.objects.select_related("toys")
@ -568,6 +777,18 @@ assert owner.toys[0].name == "Toy 4"
assert owner.toys[1].name == "Toy 1"
```
### Python style
```python
owner = (
await Owner.objects.select_related("toys")
.order_by(Owner.toys.name.desc())
.filter(Owner.name == "Zeus")
.get()
)
assert owner.toys[0].name == "Toy 4"
assert owner.toys[1].name == "Toy 1"
```
!!!note
All methods that do not return the rows explicitly returns a QueySet instance so
you can chain them together

30
docs/queries/read.md
View File

@ -2,10 +2,10 @@
Following methods allow you to load data from the database.
* `get(**kwargs) -> Model`
* `get_or_create(**kwargs) -> Model`
* `first() -> Model`
* `all(**kwargs) -> List[Optional[Model]]`
* `get(*args, **kwargs) -> Model`
* `get_or_create(*args, **kwargs) -> Model`
* `first(*args, **kwargs) -> Model`
* `all(*args, **kwargs) -> List[Optional[Model]]`
* `Model`
@ -13,20 +13,20 @@ Following methods allow you to load data from the database.
* `QuerysetProxy`
* `QuerysetProxy.get(**kwargs)` method
* `QuerysetProxy.get_or_create(**kwargs)` method
* `QuerysetProxy.first()` method
* `QuerysetProxy.all(**kwargs)` method
* `QuerysetProxy.get(*args, **kwargs)` method
* `QuerysetProxy.get_or_create(*args, **kwargs)` method
* `QuerysetProxy.first(*args, **kwargs)` method
* `QuerysetProxy.all(*args, **kwargs)` method
## get
`get(**kwargs) -> Model`
`get(*args, **kwargs) -> Model`
Get's the first row from the db meeting the criteria set by kwargs.
If no criteria set it will return the last row in db sorted by pk column.
Passing a criteria is actually calling filter(**kwargs) method described below.
Passing a criteria is actually calling filter(*args, **kwargs) method described below.
```python
class Track(ormar.Model):
@ -57,14 +57,14 @@ track == track2
## get_or_none
`get_or_none(**kwargs) -> Model`
`get_or_none(*args, **kwargs) -> Model`
Exact equivalent of get described above but instead of raising the exception returns `None` if no db record matching the criteria is found.
## get_or_create
`get_or_create(**kwargs) -> Model`
`get_or_create(*args, **kwargs) -> Model`
Combination of create and get methods.
@ -102,7 +102,7 @@ assert album == album2
## first
`first() -> Model`
`first(*args, **kwargs) -> Model`
Gets the first row from the db ordered by primary key column ascending.
@ -127,11 +127,11 @@ assert album.name == 'The Cat'
## all
`all(**kwargs) -> List[Optional["Model"]]`
`all(*args, **kwargs) -> List[Optional["Model"]]`
Returns all rows from a database for given model for set filter options.
Passing kwargs is a shortcut and equals to calling `filter(**kwrags).all()`.
Passing kwargs is a shortcut and equals to calling `filter(*args, **kwargs).all()`.
If there are no rows meeting the criteria an empty list is returned.

10
docs/releases.md
View File

@ -2,7 +2,7 @@
## ✨ Features
* Add possibility to `filter` and `order_by` with field access instead of dunder separated strings. [#51](https://github.com/collerek/ormar/issues/51)
* Add **Python style** to `filter` and `order_by` with field access instead of dunder separated strings. [#51](https://github.com/collerek/ormar/issues/51)
* Accessing a field with attribute access (chain of dot notation) can be used to construct `FilterGroups` (`ormar.and_` and `ormar.or_`)
* Field access overloads set of python operators and provide a set of functions to allow same functionality as with dunder separated param names in `**kwargs`, that means that querying from sample model `Track` related to model `Album` now you have more options:
* exact - exact match to value, sql `column = <VALUE>`
@ -102,7 +102,7 @@
(Product.categories.name << ['Toys', 'Books'])
).get()
```
* Now you can alos use field access to provide OrderActions to `order_by()`
* Now you can also use field access to provide OrderActions to `order_by()`
* Order ascending:
* OLD: `Product.objects.order_by("name").all()`
* NEW: `Product.objects.order_by(Product.name.asc()).all()`
@ -112,6 +112,12 @@
* You can of course also combine different models and many order_bys:
`Product.objects.order_by([Product.category.name.asc(), Product.name.desc()]).all()`
## 🐛 Fixes
* Not really a bug but rather inconsistency. Providing a filter with nested model i.e. `album__category__name = 'AA'`
is checking if album and category models are included in `select_related()` and if not it's auto-adding them there.
The same functionality was not working for `FilterGroups` (`and_` and `or_`), now it works (also for python style filters which return `FilterGroups`).
# 0.10.3
## ✨ Features