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Release notes

0.20.1

✨ Breaking changes

  • Note that this is the first non-beta release of ormar with support for Pydantic v2. Check release notes for 0.20.0 and https://collerek.github.io/ormar/0.20.0b1/migration/

🐛 Fixes

  • Fix merging same target models when using select_related with prefetch_related #906
  • Fix saving related with pk only models #812
  • Fix adding the same relation multiple times corrupting relation cache #1335

✨ Features

  • Allow adding indexed on foreign keys by @cmflynn #1276

💬 Other

  • Some docs fixes by @Chaoyingz, thanks!

0.20.0

✨ Breaking changes

  • ormar Model configuration

    Instead of defining a Meta class now each of the ormar models require an ormar_config parameter that is an instance of the OrmarConfig class. Note that the attribute must be named ormar_config and be an instance of the config class.

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    import databases
    import ormar
    import sqlalchemy
    
    database = databases.Database("sqlite:///db.sqlite")
    metadata = sqlalchemy.MetaData()
    
    # ormar < 0.20
    class Album(ormar.Model):
        class Meta:
            database = database
            metadata = metadata
            tablename = "albums"
    
    
        id: int = ormar.Integer(primary_key=True)
        name: str = ormar.String(max_length=100)
        favorite: bool = ormar.Boolean(default=False)
    
    # ormar >= 0.20
    class AlbumV20(ormar.Model):
        ormar_config = ormar.OrmarConfig(
            database=database,
            metadata=metadata,
            tablename="albums_v20"
        )
    
        id: int = ormar.Integer(primary_key=True)
        name: str = ormar.String(max_length=100)
        favorite: bool = ormar.Boolean(default=False)
    
  • OrmarConfig api/ parameters

    The ormar_config expose the same set of settings as Meta class used to provide. That means that you can use any of the following parameters initializing the config:

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    metadata: Optional[sqlalchemy.MetaData]
    database: Optional[databases.Database]
    engine: Optional[sqlalchemy.engine.Engine]
    tablename: Optional[str]
    order_by: Optional[List[str]]
    abstract: bool
    exclude_parent_fields: Optional[List[str]]
    queryset_class: Type[QuerySet]
    extra: Extra
    constraints: Optional[List[ColumnCollectionConstraint]]
    
  • BaseMeta equivalent - best practice

    Note that to reduce the duplication of code and ease of development it's still recommended to create a base config and provide each of the models with a copy. OrmarConfig provides a convenient copy method for that purpose.

    The copy method accepts the same parameters as OrmarConfig init, so you can overwrite if needed, but by default it will return already existing attributes, except for: tablename, order_by and constraints which by default are cleared.

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    import databases
    import ormar
    import sqlalchemy
    
    base_ormar_config = ormar.OrmarConfig(
        database=databases.Database("sqlite:///db.sqlite"),
        metadata=sqlalchemy.MetaData()
    )
    
    class AlbumV20(ormar.Model):
        ormar_config = base_ormar_config.copy(
            tablename="albums_v20"
        )
    
        id: int = ormar.Integer(primary_key=True)
        name: str = ormar.String(max_length=100)
    
    
    class TrackV20(ormar.Model):
        ormar_config = base_ormar_config.copy(
            tablename="tracks_v20"
        )
    
        id: int = ormar.Integer(primary_key=True)
        name: str = ormar.String(max_length=100)
    
  • choices Field parameter is no longer supported.

    Before version 0.20 you could provide choices parameter to any existing ormar Field to limit the accepted values. This functionality was dropped, and you should use ormar.Enum field that was designed for this purpose. If you want to keep the database field type (i.e. an Integer field) you can always write a custom validator.

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    import databases
    import ormar
    import sqlalchemy
    
    database = databases.Database("sqlite:///db.sqlite")
    metadata = sqlalchemy.MetaData()
    
    # ormar < 0.20
    class Artist(ormar.Model):
        class Meta:
            database = database
            metadata = metadata
    
    
        id: int = ormar.Integer(primary_key=True)
        name: str = ormar.String(max_length=100)
        country: str = ormar.String(default=False, max_length=50, choices=["UK", "US", "Vietnam", "Colombia"])
    
    # ormar >= 0.20
    from enum import Enum
    
    class Country(str, Enum):
        UK = "UK"
        US = "US"
        VIETNAM = "Vietnam"
        COLOMBIA = "Colombia"
    
    class ArtistV20(ormar.Model):
        ormar_config = ormar.OrmarConfig(
            database=database,
            metadata=metadata,
            tablename="artists_v20"
        )
    
        id: int = ormar.Integer(primary_key=True)
        name: str = ormar.String(max_length=100)
        country: Country = ormar.Enum(enum_class=Country)
    
  • pydantic_only Field parameter is no longer supported

    pydantic_only fields were already deprecated and are removed in v 0.20. Ormar allows defining pydantic fields as in ordinary pydantic model.

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    import databases
    import ormar
    import sqlalchemy
    
    database = databases.Database("sqlite:///db.sqlite")
    metadata = sqlalchemy.MetaData()
    
    # ormar < 0.20
    class Dish(ormar.Model):
        class Meta:
            database = database
            metadata = metadata
            tablename = "dishes"
    
    
        id: int = ormar.Integer(primary_key=True)
        name: str = ormar.String(max_length=100)
        cook: str = ormar.String(max_length=40, pydantic_only=True, default="sam")
    
    # ormar >= 0.20
    class DishV20(ormar.Model):
        ormar_config = ormar.OrmarConfig(
            database=database,
            metadata=metadata,
            tablename="dishes_v20"
        )
    
        id: int = ormar.Integer(primary_key=True)
        name: str = ormar.String(max_length=100)
        cook: str = "sam"  # this is normal pydantic field
    
  • property_field decorator is no longer supported

    property_field decorator was used to provide a way to pass calculated fields that were included in dictionary/ serialized json representation of the model. Version 2.X of pydantic introduced such a possibility, so you should now switch to the one native to the pydantic.

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    import databases
    import ormar
    import sqlalchemy
    import pydantic
    
    database = databases.Database("sqlite:///db.sqlite")
    metadata = sqlalchemy.MetaData()
    
    # ormar < 0.20
    class Employee(ormar.Model):
        class Meta:
            database = database
            metadata = metadata
    
    
        id: int = ormar.Integer(primary_key=True)
        first_name: str = ormar.String(max_length=100)
        last_name: str = ormar.String(max_length=100)
    
        @ormar.property_field()
        def full_name(self) -> str:
            return f"{self.first_name} {self.last_name}"
    
    # ormar >= 0.20
    class EmployeeV20(ormar.Model):
        ormar_config = ormar.OrmarConfig(
            database=database,
            metadata=metadata,
        )
    
        id: int = ormar.Integer(primary_key=True)
        first_name: str = ormar.String(max_length=100)
        last_name: str = ormar.String(max_length=100)
    
        @pydantic.computed_field()
        def full_name(self) -> str:
            return f"{self.first_name} {self.last_name}"
    
  • Deprecated methods

    All methods listed below are deprecated and will be removed in version 0.30 of ormar.

    • dict() becomes the model_dump()
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    import databases
    import ormar
    import sqlalchemy
    
    database = databases.Database("sqlite:///db.sqlite")
    metadata = sqlalchemy.MetaData()
    
    class Album(ormar.Model):
        ormar_config = ormar.OrmarConfig(
            database=database,
            metadata=metadata,
            tablename="albums"
        )
    
        id: int = ormar.Integer(primary_key=True)
        name: str = ormar.String(max_length=100)
        favorite: bool = ormar.Boolean(default=False)
    
    album = Album(name="Dark Side of the Moon")
    
    # ormar < 0.20
    album_dict = album.dict()
    
    # ormar >= 0.20
    new_album_dict = album.model_dump() 
    

    Note that parameters remain the same i.e. include, exclude etc.

    • json() becomes the model_dump_json()
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    import databases
    import ormar
    import sqlalchemy
    
    database = databases.Database("sqlite:///db.sqlite")
    metadata = sqlalchemy.MetaData()
    
    class Album(ormar.Model):
        ormar_config = ormar.OrmarConfig(
            database=database,
            metadata=metadata,
            tablename="albums"
        )
    
        id: int = ormar.Integer(primary_key=True)
        name: str = ormar.String(max_length=100)
        favorite: bool = ormar.Boolean(default=False)
    
    album = Album(name="Dark Side of the Moon")
    
    # ormar < 0.20
    album_json= album.json()
    
    # ormar >= 0.20
    new_album_dict = album.model_dump_json() 
    

    Note that parameters remain the same i.e. include, exclude etc.

    • construct() becomes the model_construct()
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    import databases
    import ormar
    import sqlalchemy
    
    database = databases.Database("sqlite:///db.sqlite")
    metadata = sqlalchemy.MetaData()
    
    class Album(ormar.Model):
        ormar_config = ormar.OrmarConfig(
            database=database,
            metadata=metadata,
            tablename="albums"
        )
    
        id: int = ormar.Integer(primary_key=True)
        name: str = ormar.String(max_length=100)
        favorite: bool = ormar.Boolean(default=False)
    
    params = {
        "name": "Dark Side of the Moon",
        "favorite": True,
    }
    # ormar < 0.20
    album = Album.construct(**params)
    
    # ormar >= 0.20
    album = Album.model_construct(**params)
    

    To read more about construct please refer to pydantic documentation.

0.12.2

✨ Features

  • Bump support for FastAPI up to the newest version (0.97.0) #1110
  • Add support and tests for Python 3.11 #1110

0.12.1

✨ Features

  • Massive performance improvements in area of loading the models due to recursive loads and caching of the models and related models. (by @erichaydel - thanks!) #853

💬 Internals

  • Benchmarks for comparing performance effect of implemented changes in regard of trends (again, by @erichaydel - thanks!) #853

0.12.0

✨ Breaking Changes

  • Queryset.bulk_create will now raise ModelListEmptyError on empty list of models (by @ponytailer - thanks!) #853

✨ Features

  • Model.upsert() now handles a flag __force_save__: bool that allow upserting the models regardless of the fact if they have primary key set or not. Note that setting this flag will cause two queries for each upserted model -> get to check if model exists and later update/insert accordingly. #889

🐛 Fixes

  • Fix for empty relations breaking construct method (by @Abdeldjalil-H - thanks!) #870
  • Fix save related not saving models with already set pks (including uuid) #885
  • Fix for wrong relations exclusions depending on the order of exclusions #779
  • Fix property_fields not being inherited properly #774

0.11.3

✨ Features

  • Document onupdate and ondelete referential actions in ForeignKey and provide ReferentialAction enum to specify the behavior of the relationship (by @SepehrBazyar - thanks!) #724
  • Add CheckColumn to supported constraints in models Meta (by @SepehrBazyar - thanks!) #729

🐛 Fixes

  • Fix limiting query result to 0 should return empty list (by @SepehrBazyar - thanks!) #766

💬 Other

  • Add dark mode to docs (by @SepehrBazyar - thanks!) #717
  • Update aiomysql dependency #778

0.11.2

🐛 Fixes

  • Fix database drivers being required, while they should be optional #713
  • Fix boolean field problem in limit queries in postgres without limit_raw_sql flag #704
  • Fix enum_class spilling to schema causing errors in OpenAPI #699

0.11.1

🐛 Fixes

  • Fix deepcopy issues introduced in pydantic 1.9 #685

0.11.0

✨ Breaking Changes

  • Dropped support for python 3.6
  • Queryset.get_or_create returns now a tuple with model and bool value indicating if the model was created (by @MojixCoder - thanks!) #554
  • Queryset.count() now counts the number of distinct parent model rows by default, counting all rows is possible by setting distinct=False (by @erichaydel - thanks) #588

✨ Features

  • Added support for python 3.10

🐛 Fixes

  • Fix inconsistent JSON fields behaviour in save and bulk_create #584
  • Fix maximum recursion error #580

0.10.25

✨ Features

  • Add queryset_class option to Model.Meta that allows you to easily swap QuerySet for your Model (by @ponytailer - thanks!) #538
  • Allow passing extra kwargs to IndexColumns that will be passed to sqlalchemy Index (by @zevisert - thanks) #575

🐛 Fixes

  • Fix nullable setting on JSON fields #529
  • Fix bytes/str mismatch in bulk operations when using orjson instead of json (by @ponytailer - thanks!) #538

0.10.24

✨ Features

  • Add post_bulk_update signal (by @ponytailer - thanks!) #524

🐛 Fixes

💬 Other

  • Improve performance of bulk_create by bypassing databases execute_many suboptimal implementation. (by @Mng-dev-ai thanks!) #520
  • Bump min. required databases version to >=5.4.

0.10.23

✨ Features

  • Add ability to pass comment to sqlalchemy when creating a column #485

🐛 Fixes

  • Fix LargeBinary fields that can be nullable #409
  • Make ormar.Model pickable #413
  • Make first() and get() without arguments respect ordering of main model set by user, fallback to primary key (asc, and desc respectively) #453
  • Fix improper quoting of non-aliased join on clauses in postgress #455

0.10.22

🐛 Fixes

  • Hot fix for validators not being inherited when parent ormar model was set #365

0.10.21

🐛 Fixes

  • Add ormar implementation of construct classmethod that allows to build Model instances without validating the input to speed up the whole flow, if your data is already validated #318
  • Fix for "inheriting" field validators from ormar model when newly created pydanic model is generated with get_pydantic #365

0.10.20

✨ Features

  • Add extra parameter in Model.Meta that accepts Extra.ignore and Extra.forbid (default) and either ignores the extra fields passed to ormar model or raises an exception if one is encountered #358

🐛 Fixes

  • Allow None if field is nullable and have choices set #354
  • Always set primary_key to not null regardless of autoincrement and explicit nullable setting to avoid problems with migrations #348

0.10.19

✨ Features

  • Add support for multi-column non-unique IndexColumns in Meta.constraints #307
  • Add sql_nullable field attribute that allows to set different nullable setting for pydantic model and for underlying sql column #308

🐛 Fixes

  • Enable caching of relation map to increase performance #337
  • Clarify and fix documentation in regard of nullable fields #339

💬 Other

  • Bump supported databases version to <=5.2.

0.10.18

🐛 Fixes

  • Fix order of fields in pydantic models #328
  • Fix databases 0.5.0 support #142

0.10.17

✨ Features

  • Allow overwriting the default pydantic type for model fields #312
  • Add support for sqlalchemy >=1.4 (requires databases >= 0.5.0) #142

0.10.16

✨ Features

  • Allow passing your own pydantic Config to ormar.Model that will be merged with the default one by @naturalethic (thanks!) #285
  • Add SmallInteger field type by @ProgrammerPlus1998 (thanks!) #297

🐛 Fixes

  • Fix generating openapi schema by removing obsolete pydantic field parameters that were directly exposed in schema #291
  • Fix unnecessary warning for auto generated through models #295

0.10.15

🐛 Fixes

  • Fix generating pydantic models tree with nested models (by @pawamoy - thanks!) #278
  • Fix missing f-string in warning about missing primary key field #274
  • Fix passing foreign key value as relation (additional guard, fixed already in the latest release) #270

0.10.14

✨ Features

  • Allow passing timezone:bool = False parameter to DateTime and Time fields for timezone aware database columns #264
  • Allow passing datetime, date and time for filter on DateTime, Time and Date fields to allow filtering by datetimes instead of converting the value to string #79

🐛 Fixes

  • Fix dependencies from psycopg2 to psycopg2-binary #255

0.10.13

✨ Features

  • Allow passing field accessors in select_related and prefetch_related aka. python style select_related #225.
  • Previously:
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      await Post.objects.select_related(["author", "categories"]).get()
      await Author.objects.prefetch_related("posts__categories").get()
    
  • Now also:
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      await Post.objects.select_related([Post.author, Post.categories]).get()
      await Author.objects.prefetch_related(Author.posts.categories).get()
    

🐛 Fixes

  • Fix overwriting default value for inherited primary key #253

0.10.12

🐛 Fixes

  • Fix QuerySet.create method not using init (if custom provided) #245
  • Fix ForwardRef ManyToMany relation setting wrong pydantic type #250

0.10.11

✨ Features

  • Add values and values_list to QuerySet and QuerysetProxy that allows to return raw data from query #223.
  • Allow returning list of tuples or list of dictionaries from a query
  • Skips parsing the data to ormar model so skips also the validation
  • Allow excluding models in between in chain of relations, so you can extract only needed columns
  • values_list allows you to flatten the result if you extract only one column.

🐛 Fixes

  • Fix creation of auto through model for m2m relation with ForwardRef #226

0.10.10

✨ Features

  • Add get_pydantic flag that allows you to auto generate equivalent pydantic models tree from ormar.Model. This newly generated model tree can be used in requests and responses to exclude fields you do not want to include in the data.
  • Add exclude_parent_fields parameter to model Meta that allows you to exclude fields from parent models during inheritance. Note that best practice is to combine models and mixins but if you have many similar models and just one that differs it might be useful tool to achieve that.

🐛 Fixes

  • Fix is null filter with pagination and relations (by @erichaydel) #214
  • Fix not saving child object on reverse side of the relation if not saved before #216

💬 Other

  • Expand fastapi part of the documentation to show samples of using ormar in requests and responses in fastapi.
  • Improve the docs in regard of default, ForeignKey.add etc.

0.10.9

Important security fix

  • Update pin for pydantic to fix security vulnerability CVE-2021-29510

You are advised to update to version of pydantic that was patched. In 0.10.9 ormar excludes versions with vulnerability in pinned dependencies.

🐛 Fixes

  • Fix OpenAPi schema for LargeBinary #204

0.10.8

🐛 Fixes

  • Fix populating default values in pk_only child models #202
  • Fix mypy for LargeBinary fields with base64 str representation #199
  • Fix OpenAPI schema format for LargeBinary fields with base64 str representation #199
  • Fix OpenAPI choices encoding for LargeBinary fields with base64 str representation

0.10.7

✨ Features

  • Add exclude_primary_keys: bool = False flag to dict() method that allows to exclude all primary key columns in the resulting dictionaru. #164
  • Add exclude_through_models: bool = False flag to dict() that allows excluding all through models from ManyToMany relations #164
  • Add represent_as_base64_str: bool = False parameter that allows conversion of bytes LargeBinary field to base64 encoded string. String is returned in dict(), on access to attribute and string is converted to bytes on setting. Data in database is stored as bytes. #187
  • Add pk alias to allow field access by Model.pk in filters and order by clauses (python style)

🐛 Fixes

  • Remove default None option for max_length for LargeBinary field #186
  • Remove default None option for max_length for String field

💬 Other

  • Provide a guide and samples of dict() parameters in the docs
  • Major refactor of getting/setting attributes from magic methods into descriptors -> noticeable performance improvement

0.10.6

✨ Features

  • Add LargeBinary(max_length) field type #166
  • Add support for normal pydantic fields (including Models) instead of pydantic_only attribute which is now deprecated #160. Pydantic fields should be declared normally as in pydantic model next to ormar fields, note that (obviously) ormar does not save and load the value for this field in database that mean that ONE of the following has to be true:

    • pydantic field declared on ormar model has to be Optional (defaults to None)
    • pydantic field has to have a default value set
    • pydantic field has default_factory function set
    • ormar.Model with pydantic field has to overwrite __init__() and provide the value there

    If none of the above ormar (or rather pydantic) will fail during loading data from the database, with missing required value for declared pydantic field. * Ormar provides now a meaningful examples in openapi schema, including nested models. The same algorithm is used to iterate related models without looks as with dict() and select/load_all. Examples appear also in fastapi. #157

🐛 Fixes

  • By default pydantic is not validating fields during assignment, which is not a desirable setting for an ORM, now all ormar.Models have validation turned-on during assignment (like model.column = 'value')

💬 Other

  • Add connecting to the database in QuickStart in readme #180
  • OpenAPI schema does no longer include ormar.Model docstring as description, instead just model name is provided if you do not provide your own docstring.
  • Some performance improvements.

0.10.5

🐛 Fixes

  • Fix bug in fastapi-pagination #73
  • Remove unnecessary Optional in List[Optional[T]] in return value for QuerySet.all() and Querysetproxy.all() return values #174
  • Run tests coverage publish only on internal prs instead of all in github action.

0.10.4

✨ Features

  • Add Python style to filter and order_by with field access instead of dunder separated strings. #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>
    • OLD: album__name__exact='Malibu'
    • NEW: can be also written as Track.album.name == 'Malibu
    • iexact - exact match sql column = <VALUE> (case insensitive)
    • OLD: album__name__iexact='malibu'
    • NEW: can be also written as Track.album.name.iexact('malibu')
    • contains - sql column LIKE '%<VALUE>%'
    • OLD: album__name__contains='Mal'
    • NEW: can be also written as Track.album.name % 'Mal')
    • NEW: can be also written as Track.album.name.contains('Mal')
    • icontains - sql column LIKE '%<VALUE>%' (case insensitive)
    • OLD: album__name__icontains='mal'
    • NEW: can be also written as Track.album.name.icontains('mal')
    • in - sql column IN (<VALUE1>, <VALUE2>, ...)
    • OLD: album__name__in=['Malibu', 'Barclay']
    • NEW: can be also written as Track.album.name << ['Malibu', 'Barclay']
    • NEW: can be also written as Track.album.name.in_(['Malibu', 'Barclay'])
    • isnull - sql column IS NULL (and sql column IS NOT NULL)
    • OLD: album__name__isnull=True (isnotnull album__name__isnull=False)
    • NEW: can be also written as Track.album.name >> None
    • NEW: can be also written as Track.album.name.isnull(True)
    • NEW: not null can be also written as Track.album.name.isnull(False)
    • NEW: not null can be also written as ~(Track.album.name >> None)
    • NEW: not null can be also written as ~(Track.album.name.isnull(True))
    • gt - sql column > <VALUE> (greater than)
    • OLD: position__gt=3
    • NEW: can be also written as Track.album.name > 3
    • gte - sql column >= <VALUE> (greater or equal than)
    • OLD: position__gte=3
    • NEW: can be also written as Track.album.name >= 3
    • lt - sql column < <VALUE> (lower than)
    • OLD: position__lt=3
    • NEW: can be also written as Track.album.name < 3
    • lte - sql column <= <VALUE> (lower equal than)
    • OLD: position__lte=3
    • NEW: can be also written as Track.album.name <= 3
    • startswith - sql column LIKE '<VALUE>%' (exact start match)
    • OLD: album__name__startswith='Mal'
    • NEW: can be also written as Track.album.name.startswith('Mal')
    • istartswith - sql column LIKE '<VALUE>%' (case insensitive)
    • OLD: album__name__istartswith='mal'
    • NEW: can be also written as Track.album.name.istartswith('mal')
    • endswith - sql column LIKE '%<VALUE>' (exact end match)
    • OLD: album__name__endswith='ibu'
    • NEW: can be also written as Track.album.name.endswith('ibu')
    • iendswith - sql column LIKE '%<VALUE>' (case insensitive)
    • OLD: album__name__iendswith='IBU'
    • NEW: can be also written as Track.album.name.iendswith('IBU')
  • You can provide FilterGroups not only in filter() and exclude() but also in:
  • get()
  • get_or_none()
  • get_or_create()
  • first()
  • all()
  • delete()
  • With FilterGroups (ormar.and_ and ormar.or_) you can now use:
  • & - as and_ instead of next level of nesting
  • | - as `or_' instead of next level of nesting
  • ~ - as negation of the filter group
  • To combine groups of filters into one set of conditions use & (sql AND) and | (sql OR)
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    # Following queries are equivalent:
    # sql: ( product.name = 'Test'  AND  product.rating >= 3.0 ) 
    
    # ormar OPTION 1 - OLD one
    Product.objects.filter(name='Test', rating__gte=3.0).get()
    
    # ormar OPTION 2 - OLD one
    Product.objects.filter(ormar.and_(name='Test', rating__gte=3.0)).get()
    
    # ormar OPTION 3 - NEW one (field access)
    Product.objects.filter((Product.name == 'Test') & (Product.rating >=3.0)).get()
    
  • Same applies to nested complicated filters
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    # Following queries are equivalent:
    # sql: ( product.name = 'Test' AND product.rating >= 3.0 ) 
    #       OR (categories.name IN ('Toys', 'Books'))
    
    # ormar OPTION 1 - OLD one
    Product.objects.filter(ormar.or_(
                              ormar.and_(name='Test', rating__gte=3.0), 
                              categories__name__in=['Toys', 'Books'])
                          ).get()
    
    # ormar OPTION 2 - NEW one (instead of nested or use `|`)
    Product.objects.filter(
                          ormar.and_(name='Test', rating__gte=3.0) | 
                          ormar.and_(categories__name__in=['Toys', 'Books'])
                          ).get()
    
    # ormar OPTION 3 - NEW one (field access)
    Product.objects.filter(
                          ((Product.name='Test') & (Product.rating >= 3.0)) | 
                          (Product.categories.name << ['Toys', 'Books'])
                          ).get()
    
  • 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()
  • Order descending:
    • OLD: Product.objects.order_by("-name").all()
    • NEW: Product.objects.order_by(Product.name.desc()).all()
  • 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

  • ForeignKey and ManyToMany now support skip_reverse: bool = False flag #118. If you set skip_reverse flag internally the field is still registered on the other side of the relationship so you can:
  • filter by related models fields from reverse model
  • order_by by related models fields from reverse model

But you cannot: * access the related field from reverse model with related_name * even if you select_related from reverse side of the model the returned models won't be populated in reversed instance (the join is not prevented so you still can filter and order_by) * the relation won't be populated in dict() and json() * you cannot pass the nested related objects when populating from dict() or json() (also through fastapi). It will be either ignored or raise error depending on extra setting in pydantic Config. * Model.save_related() now can save whole data tree in once #148 meaning: * it knows if it should save main Model or related Model first to preserve the relation * it saves main Model if * it's not saved, * has no pk value * or save_all=True flag is set

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in those cases you don't have to split save into two calls (`save()` and `save_related()`)
  • it supports also ManyToMany relations
  • it supports also optional Through model values for m2m relations
  • Add possibility to customize Through model relation field names.
  • By default Through model relation names default to related model name in lowercase. So in example like this: python ... ## course declaration omitted class Student(ormar.Model): class Meta: database = database metadata = metadata id: int = ormar.Integer(primary_key=True) name: str = ormar.String(max_length=100) courses = ormar.ManyToMany(Course) ## will produce default Through model like follows (example simplified) class StudentCourse(ormar.Model): class Meta: database = database metadata = metadata tablename = "students_courses" id: int = ormar.Integer(primary_key=True) student = ormar.ForeignKey(Student) ## default name course = ormar.ForeignKey(Course) # default name
  • To customize the names of fields/relation in Through model now you can use new parameters to ManyToMany:

    • through_relation_name - name of the field leading to the model in which ManyToMany is declared
    • through_reverse_relation_name - name of the field leading to the model to which ManyToMany leads to

    Example:

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    ... # course declaration omitted
    class Student(ormar.Model):
        class Meta:
            database = database
            metadata = metadata
    
        id: int = ormar.Integer(primary_key=True)
        name: str = ormar.String(max_length=100)
        courses = ormar.ManyToMany(Course,
                                   through_relation_name="student_id",
                                   through_reverse_relation_name="course_id")
    
    # will produce default Through model like follows (example simplified)
    class StudentCourse(ormar.Model):
        class Meta:
            database = database
            metadata = metadata
            tablename = "students_courses"
    
        id: int = ormar.Integer(primary_key=True)
        student_id = ormar.ForeignKey(Student) # set by through_relation_name
        course_id = ormar.ForeignKey(Course)  # set by through_reverse_relation_name
    

🐛 Fixes

  • Fix weakref ReferenceError error #118
  • Fix error raised by Through fields when pydantic Config.extra="forbid" is set
  • Fix bug with pydantic.PrivateAttr not being initialized at __init__ #149
  • Fix bug with pydantic-type exclude in dict() with __all__ key not working

💬 Other

  • Introduce link to sqlalchemy-to-ormar auto-translator for models
  • Provide links to fastapi ecosystem libraries that support ormar
  • Add transactions to docs (supported with databases)

0.10.2

✨ Features

  • Model.save_related(follow=False) now accept also two additional arguments: Model.save_related(follow=False, save_all=False, exclude=None).
  • save_all:bool -> By default (so with save_all=False) ormar only upserts models that are not saved (so new or updated ones), with save_all=True all related models are saved, regardless of saved status, which might be useful if updated models comes from api call, so are not changed in the backend.
  • exclude: Union[Set, Dict, None] -> set/dict of relations to exclude from save, those relation won't be saved even with follow=True and save_all=True. To exclude nested relations pass a nested dictionary like: exclude={"child":{"sub_child": {"exclude_sub_child_realtion"}}}. The allowed values follow the fields/exclude_fields (from QuerySet) methods schema so when in doubt you can refer to docs in queries -> selecting subset of fields -> fields.
  • Model.update() method now accepts _columns: List[str] = None parameter, that accepts list of column names to update. If passed only those columns will be updated in database. Note that update() does not refresh the instance of the Model, so if you change more columns than you pass in _columns list your Model instance will have different values than the database!
  • Model.model_dump() method previously included only directly related models or nested models if they were not nullable and not virtual, now all related models not previously visited without loops are included in dict(). This should be not breaking as just more data will be dumped to dict, but it should not be missing.
  • QuerySet.delete(each=False, **kwargs) previously required that you either pass a filter (by **kwargs or as a separate filter() call) or set each=True now also accepts exclude() calls that generates NOT filter. So either each=True needs to be set to delete whole table or at least one of filter/exclude clauses.
  • Same thing applies to QuerySet.update(each=False, **kwargs) which also previously required that you either pass a filter (by **kwargs or as a separate filter() call) or set each=True now also accepts exclude() calls that generates NOT filter. So either each=True needs to be set to update whole table or at least one of filter/exclude clauses.
  • Same thing applies to QuerysetProxy.update(each=False, **kwargs) which also previously required that you either pass a filter (by **kwargs or as a separate filter() call) or set each=True now also accepts exclude() calls that generates NOT filter. So either each=True needs to be set to update whole table or at least one of filter/exclude clauses.

🐛 Fixes

  • Fix improper relation field resolution in QuerysetProxy if fk column has different database alias.
  • Fix hitting recursion error with very complicated models structure with loops when calling dict().
  • Fix bug when two non-relation fields were merged (appended) in query result when they were not relation fields (i.e. JSON)
  • Fix bug when during translation to dict from list the same relation name is used in chain but leads to different models
  • Fix bug when bulk_create would try to save also property_field decorated methods and pydantic fields
  • Fix wrong merging of deeply nested chain of reversed relations

💬 Other

  • Performance optimizations
  • Split tests into packages based on tested area

0.10.1

Features

  • add get_or_none(**kwargs) method to QuerySet and QuerysetProxy. It is exact equivalent of get(**kwargs) but instead of raising ormar.NoMatch exception if there is no db record matching the criteria, get_or_none simply returns None.

Fixes

  • Fix dialect dependent quoting of column and table names in order_by clauses not working properly in postgres.

0.10.0

Breaking

  • Dropped supported for long deprecated notation of field definition in which you use ormar fields as type hints i.e. test_field: ormar.Integger() = None
  • Improved type hints -> mypy can properly resolve related models fields (ForeignKey and ManyToMany) as well as return types of QuerySet methods. Those mentioned are now returning proper model (i.e. Book) instead or ormar.Model type. There is still problem with reverse sides of relation and QuerysetProxy methods, to ease type hints now those return Any. Partially fixes #112.

Features

  • add select_all(follow: bool = False) method to QuerySet and QuerysetProxy. It is kind of equivalent of the Model's load_all() method but can be used directly in a query. By default select_all() adds only directly related models, with follow=True also related models of related models are added without loops in relations. Note that it's not and end async model so you still have to issue get(), all() etc. as select_all() returns a QuerySet (or proxy) like fields() or order_by().

Internals

  • ormar fields are no longer stored as classes in Meta.model_fields dictionary but instead they are stored as instances.

0.9.9

Features

  • Add possibility to change default ordering of relations and models.
    • To change model sorting pass orders_by = [columns] where columns: List[str] to model Meta class
    • To change relation order_by pass orders_by = [columns] where columns: List[str]
    • To change reverse relation order_by pass related_orders_by = [columns] where columns: List[str]
    • Arguments can be column names or -{col_name} to sort descending
    • In relations you can sort only by directly related model columns or for ManyToMany columns also Through model columns "{through_field_name}__{column_name}"
    • Order in which order_by clauses are applied is as follows:
    • Explicitly passed order_by() calls in query
    • Relation passed orders_by if exists
    • Model Meta class orders_by
    • Model primary key column asc (fallback, used if none of above provided)
  • Add 4 new aggregated functions -> min, max, sum and avg that are their corresponding sql equivalents.
    • You can pass one or many column names including related columns.
    • As of now each column passed is aggregated separately (so sum(col1+col2) is not possible, you can have sum(col1, col2) and later add 2 returned sums in python)
    • You cannot sum and avg non numeric columns
    • If you aggregate on one column, the single value is directly returned as a result
    • If you aggregate on multiple columns a dictionary with column: result pairs is returned
  • Add 4 new signals -> pre_relation_add, post_relation_add, pre_relation_remove and post_relation_remove
    • The newly added signals are emitted for ManyToMany relations (both sides) and reverse side of ForeignKey relation (same as QuerysetProxy is exposed).
    • Signals receive following args: sender: Type[Model] - sender class, instance: Model - instance to which related model is added, child: Model - model being added, relation_name: str - name of the relation to which child is added, for add signals also passed_kwargs: Dict - dict of kwargs passed to add()

Changes

  • Through models for ManyToMany relations are now instantiated on creation, deletion and update, so you can provide not only autoincrement int as a primary key but any column type with default function provided.
  • Since Through models are now instantiated you can also subscribe to Through model pre/post save/update/delete signals
  • pre_update signals receivers now get also passed_args argument which is a dict of values passed to update function if any (else empty dict)

Fixes

  • pre_update signal now is sent before the extraction of values so you can modify the passed instance in place and modified fields values will be reflected in database
  • bulk_update now works correctly also with UUID primary key column type

0.9.8

Features

  • Add possibility to encrypt the selected field(s) in the database
  • As minimum you need to provide encrypt_secret and encrypt_backend
  • encrypt_backend can be one of the ormar.EncryptBackends enum (NONE, FERNET, HASH, CUSTOM) - default: NONE
  • When custom backend is selected you need to provide your backend class that subclasses ormar.fields.EncryptBackend
  • You cannot encrypt primary_key column and relation columns (FK and M2M).
  • Provided are 2 backends: HASH and FERNET
    • HASH is a one-way hash (like for password), never decrypted on retrieval
    • FERNET is a two-way encrypt/decrypt backend
  • Note that in FERNET backend you loose filtering possibility altogether as part of the encrypted value is a timestamp.
  • Note that in HASH backend you can filter by full value but filters like contain will not work as comparison is make on encrypted values
  • Note that adding encrypt_backend changes the database column type to TEXT, which needs to be reflected in db either by migration or manual change

Fixes

  • (Advanced/ Internal) Restore custom sqlalchemy types (by types.TypeDecorator subclass) functionality that ceased to working so process_result_value was never called

0.9.7

Features

  • Add isnull operator to filter and exclude methods.
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    album__name__isnull=True #(sql: album.name is null)
    album__name__isnull=False #(sql: album.name is not null))
    
  • Add ormar.or_ and ormar.and_ functions that can be used to compose complex queries with nested conditions. Sample query:
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    books = (
        await Book.objects.select_related("author")
        .filter(
            ormar.and_(
                ormar.or_(year__gt=1960, year__lt=1940),
                author__name="J.R.R. Tolkien",
            )
        )
        .all()
    )
    
    Check the updated docs in Queries -> Filtering and sorting -> Complex filters

Other

  • Setting default on ForeignKey or ManyToMany raises and ModelDefinition exception as it is (and was) not supported

0.9.6

Important

  • Through model for ManyToMany relations now becomes optional. It's not a breaking change since if you provide it everything works just fine as it used to. So if you don't want or need any additional fields on Through model you can skip it. Note that it's going to be created for you automatically and still has to be included in example in alembic migrations. If you want to delete existing one check the default naming convention to adjust your existing database structure.

Note that you still need to provide it if you want to customize the Through model name or the database table name.

Features

  • Add update method to QuerysetProxy so now it's possible to update related models directly from parent model in ManyToMany relations and in reverse ForeignKey relations. Note that update like in QuerySet update returns number of updated models and does not update related models in place on parent model. To get the refreshed data on parent model you need to refresh the related models (i.e. await model_instance.related.all())
  • Add load_all(follow=False, exclude=None) model method that allows to load current instance of the model with all related models in one call. By default it loads only directly related models but setting follow=True causes traversing the tree (avoiding loops). You can also pass exclude parameter that works the same as QuerySet.exclude_fields() method.
  • Added possibility to add more fields on Through model for ManyToMany relationships:
    • name of the through model field is the lowercase name of the Through class
    • you can pass additional fields when calling add(child, **kwargs) on relation (on QuerysetProxy)
    • you can pass additional fields when calling create(**kwargs) on relation (on QuerysetProxy) when one of the keyword arguments should be the through model name with a dict of values
    • you can order by on through model fields
    • you can filter on through model fields
    • you can include and exclude fields on through models
    • through models are attached only to related models (i.e. if you query from A to B -> only on B)
    • note that through models are explicitly loaded without relations -> relation is already populated in ManyToMany field.
    • note that just like before you cannot declare the relation fields on through model, they will be populated for you by ormar, but now if you try to do so ModelDefinitionError will be thrown
    • check the updated ManyToMany relation docs for more information

Other

  • Updated docs and api docs
  • Refactors and optimisations mainly related to filters, exclusions and order bys

0.9.5

Fixes

  • Fix creation of pydantic FieldInfo after update of pydantic to version >=1.8
  • Pin required dependency versions to avoid such situations in the future

0.9.4

Fixes

  • Fix fastapi OpenAPI schema generation for automatic docs when multiple models refer to the same related one

0.9.3

Fixes

  • Fix JSON field being double escaped when setting value after initialization
  • Fix JSON field not respecting nullable field setting due to pydantic internals
  • Fix choices verification for JSON field
  • Fix choices not being verified when setting the attribute after initialization
  • Fix choices not being verified during update call from QuerySet

0.9.2

Other

  • Updated the Quick Start in docs/readme
  • Updated docs with links to queries subpage
  • Added badges for code climate and pepy downloads

0.9.1

Features

  • Add choices values to OpenAPI specs, so it looks like native Enum field in the result schema.

Fixes

  • Fix choices behavior with fastapi usage when special fields can be not initialized yet but passed as strings etc.

0.9.0

Important

  • Braking Fix: Version 0.8.0 introduced a bug that prevents generation of foreign_keys constraint in the database, both in alembic and during creation through sqlalchemy.engine, this is fixed now.
  • THEREFORE IF YOU USE VERSION >=0.8.0 YOU ARE STRONGLY ADVISED TO UPDATE cause despite that most of the ormar functions are working your database CREATED with ormar (or ormar + alembic) does not have relations and suffer from perspective of performance and data integrity.
  • If you were using ormar to connect to existing database your performance and integrity should be fine nevertheless you should update to reflect all future schema updates in your models.

Breaking

  • Breaking: All foreign_keys and unique constraints now have a name so alembic can identify them in db and not depend on db
  • Breaking: During model construction if Meta class of the Model does not include metadata or database now ModelDefinitionError will be raised instead of generic AttributeError.
  • Breaking: encode/databases used for running the queries does not have a connection pool for sqlite backend, meaning that each query is run with a new connection and there is no way to enable enforcing ForeignKeys constraints as those are by default turned off on every connection. This is changed in ormar since >=0.9.0 and by default each sqlite3 query has "PRAGMA foreign_keys=1;" run so now each sqlite3 connection by default enforces ForeignKey constraints including cascades.

Other

  • Update api docs.
  • Add tests for fk creation in db and for cascades in db

0.8.1

Features

  • Introduce processing of ForwardRef in relations. Now you can create self-referencing models - both ForeignKey and ManyToMany relations. ForwardRef can be used both for to and through Models.
  • Introduce the possibility to perform two same relation joins in one query, so to process complex relations like:
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        B = X = Y
      //
     A 
      \
        C = X = Y <= before you could link from X to Y only once in one query
                     unless two different relation were used 
                     (two relation fields with different names)
    
  • Introduce the paginate method that allows to limit/offset by page and page_size. Available for QuerySet and QuerysetProxy.

Other

  • Refactoring and performance optimization in queries and joins.
  • Add python 3.9 to tests and pypi setup.
  • Update API docs and docs -> i.e. split of queries documentation.

0.8.0

Breaking

  • Breaking: remove() parent from child side in reverse ForeignKey relation now requires passing a relation name, as the same model can be registered multiple times and ormar needs to know from which relation on the parent you want to remove the child.
  • Breaking: applying limit and offset with select_related is by default applied only on the main table before the join -> meaning that not the total number of rows is limited but just number of main models (first one in the query, the one used to construct it). You can still limit all rows from db response with limit_raw_sql=True flag on either limit or offset (or both)
  • Breaking: issuing first() now fetches the first row ordered by the primary key asc (so first one inserted (can be different for non number primary keys - i.e. alphabetical order of string))
  • Breaking: issuing get() without any filters now fetches the first row ordered by the primary key desc (so should be last one inserted (can be different for non number primary keys - i.e. alphabetical order of string))
  • Breaking (internal): sqlalchemy columns kept at Meta.columns are no longer bind to table, so you cannot get the column straight from there

Features

  • Introduce inheritance. For now two types of inheritance are possible:
    • Mixins - don't subclass ormar.Model, just define fields that are later used on different models (like created_date and updated_date on each child model), only actual models create tables, but those fields from mixins are added
    • Concrete table inheritance - means that parent is marked as abstract=True in Meta class and each child has its own table with columns from the parent and own child columns, kind of similar to Mixins but parent also is a (an abstract) Model
    • To read more check the docs on models -> inheritance section.
  • QuerySet first() can be used with prefetch_related

Fixes

  • Fix minor bug in order_by for primary model order bys
  • Fix in prefetch_query for multiple related_names for the same model.
  • Fix using same related_name on different models leading to the same related Model overwriting each other, now ModelDefinitionError is raised and you need to change the name.
  • Fix order_by overwriting conditions when multiple joins to the same table applied.

Docs

  • Split and cleanup in docs:
    • Divide models section into subsections
    • Divide relations section into subsections
    • Divide fields section into subsections
  • Add model inheritance section
  • Add API (BETA) documentation

0.7.5

  • Fix for wrong relation column name in many_to_many relation joins (fix #73)

0.7.4

  • Allow multiple relations to the same related model/table.
  • Fix for wrong relation column used in many_to_many relation joins (fix #73)
  • Fix for wrong relation population for m2m relations when also fk relation present for same model.
  • Add check if user provide related_name if there are multiple relations to same table on one model.
  • More eager cleaning of the dead weak proxy models.

0.7.3

  • Fix for setting fetching related model with UUDI pk, which is a string in raw (fix #71)

0.7.2

  • Fix for overwriting related models with pk only in Model.update() with fields passed as parameters (fix #70)

0.7.1

  • Fix for overwriting related models with pk only in Model.save() (fix #68)

0.7.0

  • Breaking: QuerySet bulk_update method now raises ModelPersistenceError for unsaved models passed instead of QueryDefinitionError
  • Breaking: Model initialization with unknown field name now raises ModelError instead of KeyError
  • Added Signals, with pre-defined list signals and decorators: post_delete, post_save, post_update, pre_delete, pre_save, pre_update
  • Add py.typed and modify setup.py for mypy support
  • Performance optimization
  • Updated docs

0.6.2

  • Performance optimization
  • Fix for bug with pydantic_only fields being required
  • Add property_field decorator that registers a function as a property that will be included in Model.model_dump() and in fastapi response
  • Update docs

0.6.1

  • Explicitly set None to excluded nullable fields to avoid pydantic setting a default value (fix #60).

0.6.0

  • Breaking: calling instance.load() when the instance row was deleted from db now raises NoMatch instead of ValueError
  • Breaking: calling add and remove on ReverseForeignKey relation now updates the child model in db setting/removing fk column
  • Breaking: ReverseForeignKey relation now exposes QuerySetProxy API like ManyToMany relation
  • Breaking: querying related models from ManyToMany cleans list of related models loaded on parent model:
    • Example: post.categories.first() will set post.categories to list of 1 related model -> the one returned by first()
    • Example 2: if post has 4 categories so len(post.categories) == 4 calling post.categories.limit(2).all() -> will load only 2 children and now assert len(post.categories) == 2
  • Added get_or_create, update_or_create, fields, exclude_fields, exclude, prefetch_related and order_by to QuerySetProxy so now you can use those methods directly from relation
  • Update docs

0.5.5

  • Fix for alembic autogenaration of migration UUID columns. It should just produce sqlalchemy CHAR(32) or CHAR(36)
  • In order for this to work you have to set user_module_prefix='sa.' (must be equal to sqlalchemy_module_prefix option (default 'sa.'))

0.5.4

  • Allow to pass uuid_format (allowed 'hex'(default) or 'string') to UUID field to change the format in which it's saved. By default field is saved in hex format (trimmed to 32 chars (without dashes)), but you can pass format='string' to use 36 (with dashes) instead to adjust to existing db or other libraries.

Sample: * hex value = c616ab438cce49dbbf4380d109251dce * string value = c616ab43-8cce-49db-bf43-80d109251dce

0.5.3

  • Fixed bug in Model.model_dump() method that was ignoring exclude parameter and not include dictionary argument.

0.5.2

  • Added prefetch_related method to load subsequent models in separate queries.
  • Update docs

0.5.1

  • Switched to github actions instead of travis
  • Update badges in the docs

0.5.0

  • Added save status -> you can check if model is saved with ModelInstance.saved property
    • Model is saved after save/update/load/upsert method on model
    • Model is saved after create/get/first/all/get_or_create/update_or_create method
    • Model is saved when passed to bulk_update and bulk_create
    • Model is saved after adding/removing ManyToMany related objects (through model instance auto saved/deleted)
    • Model is not saved after change of any own field (including pk as Model.pk alias)
    • Model is not saved after adding/removing ForeignKey related object (fk column not saved)
    • Model is not saved after instantiation with __init__ (w/o QuerySet.create or before calling save)
  • Added Model.upsert(**kwargs) that performs save() if pk not set otherwise update(**kwargs)
  • Added Model.save_related(follow=False) that iterates all related objects in all relations and checks if they are saved. If not it calls upsert() on each of them.
  • Breaking: added raising exceptions if add-ing/remove-ing not saved (pk is None) models to ManyToMany relation
  • Allow passing dictionaries and sets to fields and exclude_fields
  • Auto translate str and lists to dicts for fields and exclude_fields
  • Breaking: passing nested models to fields and exclude_fields is now by related ForeignKey name and not by target model name
  • Performance optimizations - in modelproxy, newbasemodel - > less queries, some properties are cached on models
  • Cleanup of unused relations code
  • Optional performance dependency orjson added (strongly recommended)
  • Updated docs

0.4.4

  • add exclude_fields() method to exclude fields from sql
  • refactor column names setting (aliases)
  • fix ordering by for column with aliases
  • additional tests for fields and exclude_fields
  • update docs

0.4.3

  • include properties in models.model_dump() and model.model_dump_json()

0.4.2

  • modify creation of pydantic models to allow returning related models with only pk populated

0.4.1

  • add order_by method to queryset to allow sorting
  • update docs

0.4.0

  • Changed notation in Model definition -> now use name = ormar.Field() not name: ormar.Field()
    • Note that old notation is still supported but deprecated and will not play nice with static checkers like mypy and pydantic pycharm plugin
  • Type hint docs and test
  • Use mypy for tests also not, only ormar package
  • Fix scale and precision translation with max_digits and decimal_places pydantic Decimal field
  • Update docs - add best practices for dependencies
  • Refactor metaclass and model_fields to play nice with type hints
  • Add mypy and pydantic plugin to docs
  • Expand the docs on ManyToMany relation

0.3.11

  • Fix setting server_default as default field value in python

0.3.10

  • Fix postgresql check to avoid exceptions with drivers not installed if using different backend

0.3.9

  • Fix json schema generation as of #19
  • Fix for not initialized ManyToMany relations in fastapi copies of ormar.Models
  • Update docs in regard of fastapi use
  • Add tests to verify fastapi/docs proper generation

0.3.8

  • Added possibility to provide alternative database column names with name parameter to all fields.
  • Fix bug with selecting related ManyToMany fields with fields() if they are empty.
  • Updated documentation

0.3.7

  • Publish documentation and update readme

0.3.6

  • Add fields() method to limit the selected columns from database - only nullable columns can be excluded.
  • Added UniqueColumns and constraints list in model Meta to build unique constraints on list of columns.
  • Added UUID field type based on Char(32) column type.

0.3.5

  • Added bulk_create and bulk_update for operations on multiple objects.

0.3.4

Add queryset level methods * delete * update * get_or_create * update_or_create

0.3.3

  • Add additional filters - startswith and endswith

0.3.2

  • Add choices parameter to all fields - limiting the accepted values to ones provided

0.3.1

  • Added exclude to filter where not conditions.
  • Added tests for mysql and postgres with fixes for postgres.
  • Rafactors and cleanup.

0.3.0

  • Added ManyToMany field and support for many to many relations