.. rst-class:: emphasize-children
- check
default
for notNone
on pydantic model creation - propagate default to pydantic model
- Make
F
expression work withQuerySet.filter()
. - Include
py.typed
in source distribution. - Added
datetime
parsing fromint
forfields.DatetimeField
. get_or_create
passes theusing_db=
on if provided.- Allow custom
loop
andconnection_class
parameters to be passed on to asyncpg.
- Default install of
tortoise-orm
now installs with no C-dependencies, if you want to use the C accelerators, please do apip install tortoise-orm[accel]
instead. - Added
<instance>.clone()
method that will create a cloned instance in memory. To persist it you still need to call.save()
.clone()
will raise aParamsError
if tortoise can't generate a primary key. In that case do a.clone(pk=<newval>)
- If manually setting the primary key value to
None
and the primary key can be automatically generated, this will create a new record. We however still recommend the.clone()
method instead. .save()
can be forced to do a create by settingforce_create=True
.save()
can be forced to do an update by settingforce_update=True
- Setting
update_fields
for a.save()
operation will strongly prefer to do an update if possible
- Make
Field.default
effect on db level when generate table - Add converters instead of importing from pymysql
- Fix postgres BooleanField default value convent
- Fix
JSONField
typed inpydantic_model_creator
- Add
.sql()
method onQuerySet
- fix:
sqlite://:memory:
in Windows thrownOSError: [WinError 123]
- Support
bulk_create()
insertion of records with overridden primary key when the primary key is DB-generated - Add
queryset.exists()
andModel.exists()
. - Add model subscription lookup,
Model[<pkval>]
that will return the object or raiseKeyError
- Fix bad import of
basestring
- Better handling of NULL characters in strings. Fixes SQLite, raises better error for PostgreSQL.
- Support
.group_by()
with join now
- Support
F
expression in.save()
now IntEnumField
accept valid int value andCharEnumField
accept valid str value- Pydantic models get created with globally unique identifier
- Leaf-detection to minimize duplicate Pydantic model creation
- Pydantic models with a Primary Key that is also a raw field of a relation is now not hidden when
exclude_raw_fields=True
as it is a critically important field - Raise an informative error when a field is set as nullable and primary key at the same time
- Foreign key id's are now described to have the positive-integer range of the field it is related to
- Fixed prefetching over OneToOne relations
- Fixed
__contains
for non-text fields (e.g.JSONB
)
- Allow
Q
expression to function with_filter
parameter on aggregations - Add manual
.group_by()
support - Fixed regression where
GROUP BY
class is missing for an aggregate with a specified order.
- Added preliminary support for Python 3.9
TruncationTestCase
now properly quotes table names when it clears them out.- Add model signals support
- Added
app_label
totest initializer(...)
andTORTOISE_TEST_APP
as test environment variable.
Warning
This is a security fix release. We recommend everyone update.
- Fixed SQL injection issue in MySQL
- Fixed SQL injection issues in MySQL when using
contains
,starts_with
orends_with
filters (and their case-insensitive counterparts) - Fixed malformed SQL for PostgreSQL and SQLite when using
contains
,starts_with
orends_with
filters (and their case-insensitive counterparts)
Added support for partial models:
To create a partial model, one can do a
.only(<fieldnames-as-strings>)
as part of the QuerySet. This will create model instances that only have those values fetched.Persisting changes on the model is allowed only when:
- All the fields you want to update is specified in
<model>.save(update_fields=[...])
- You included the Model primary key in the
.only(...)
To protect against common mistakes we ensure that errors get raised:
- If you access a field that is not specified, you will get an
AttributeError
. - If you do a
<model>.save()
aIncompleteInstanceError
will be raised as the model is, as requested, incomplete. - If you do a
<model>.save(update_fields=[...])
and you didn't include the primary key in the.only(...)
, thenIncompleteInstanceError
will be raised indicating that updates can't be done without the primary key being known. - If you do a
<model>.save(update_fields=[...])
and one of the fields inupdate_fields
was not in the.only(...)
, thenIncompleteInstanceError
as that field is not available to be updated.
- All the fields you want to update is specified in
- Fixed bad SQL generation when doing a
.values()
query over a Foreign Key - Added <model>.update_from_dict({...}) that will mass update values safely from a dictionary
- Fixed processing URL encoded password in connection string
- Moved
Tortoise.describe_model(<MODEL>, ...)
to<MODEL>.describe(...)
- Deprecated
Tortoise.describe_model()
- Fix for
generate_schemas
param being ignored intortoise.contrib.quart.register_tortoise
- Fix join query with source_field param
- More consistent escaping of db columns, fixes using SQL reserved keywords as field names with a function.
- Fix the aggregates using the wrong side of the join when doing a self-referential aggregation.
- Fix
F
funtions wrapped forgetting aboutdistinct=True
- Fixed invalid
var IN ()
SQL generated using__in=
and__not_in
filters. - Fix bug with order_by on nested fields
- Fix joining with self by reverse-foreign-key for filtering and annotation
- Default
values()
&values_list()
now includes annotations. - Annotations over joins now work correctly with
values()
&values_list()
- Ensure
GROUP BY
precedesHAVING
to ensure that filtering by aggregates work correctly. - Fix bug with join query with aggregation
- Cast
BooleanField
values correctly on SQLite & MySQL
QuerySetSingle
now has better code completionCreated Pydantic models will now have the basic validation elements:
required
is correctly populated for required fieldsnullable
is added to the schema where nulls are acceptedmaxLength
for CharFieldsminimum
&maximum
values for integer fields
To get Pydantic to handle nullable/default fields correctly one should do a
**user.dict(exclude_unset=True)
when passing values to a Model class.Added
FastAPI
helper that is based on thestarlette
helper but optionally adds helpers to catch and report with proper errorDoesNotExist
andIntegrityError
Tortoise exceptions.Allows a Pydantic model to exclude all read-only fields by setting
exclude_readonly=True
when callingpydantic_model_creator
.a Tortoise
PydanticModel
now provides two extra helper functions:from_queryset
: Returns aList[PydanticModel]
which is the format that e.g. FastAPI expectsfrom_queryset_single
: allows one to avoid callingawait
multiple times to get the object and all its related items.
Caution!
This release drops support for Python 3.6:
Tortoise ORM now requires a minimum of CPython 3.7
Model docstrings and
#:
comments directly preceding Field definitions are now used as docstrings and DDL descriptions.This is now cleaned and carried as part of the
docstring
parameter indescribe_model(...)
If one doesn't explicitly specify a Field
description=
or ModelMeta.table_description=
then we default to the first line as the description. This is done because a description is submitted to the DB, and needs to be short (depending on DB, 63 chars) in size.Usage example:
class Something(Model): """ A Docstring. Some extra info. """ # A regular comment name = fields.CharField(max_length=50) #: A docstring comment chars = fields.CharField(max_length=50, description="Some chars") #: A docstring comment #: Some more detail blip = fields.CharField(max_length=50) # When looking at the describe model: { "description": "A Docstring.", "docstring": "A Docstring.\n\nSome extra info.", ... "data_fields": [ { "name": "name", ... "description": null, "docstring": null }, { "name": "chars", ... "description": "Some chars", "docstring": "A docstring comment" }, { "name": "blip", ... "description": "A docstring comment", "docstring": "A docstring comment\nSome more detail" } ] }
Early Partial Init of models.
We now have an early init of models, which can be useful when needing Models that are not bound to a DB, but otherwise complete. e.g. Schema generation without needing to be properly set up.
Usage example:
# Lets say you defined your models in "some/models.py", and "other/ddef.py" # And you are going to use them in the "model" namespace: Tortoise.init_models(["some.models", "other.ddef"], "models") # Now the models will have relationships built, so introspection of schema will be comprehensive
Pydantic serialisation.
We now include native support for automatically building a Pydantic model from Tortoise ORM models. This will correctly model:
- Data Fields
- Relationships (FK/O2O/M2M)
- Callables
At this stage we only suport serialisation, not deserialisation.
For mode information, please see :ref:`contrib_pydantic`
- Allow usage of
F
expressions to in annotations. (#301) - Now negative number with
limit(...)
andoffset(...)
raiseParamsError
. (#306) - Allow usage of Function to
queryset.update()
. (#308) - Add ability to supply
distinct
flag to Aggregate (#312)
- Fix default type of
JSONField
Removed
tortoise.aggregation
as this was deprecated since 0.14.0Removed
start_transaction
as it has been broken since 0.15.0Removed support for Python 3.6 / PyPy-3.6, as it has been broken since 0.15.0
If you still need Python 3.6 support, you can install
tortoise-orm<0.16
as we will still backport critical bugfixes to the 0.15 branch for a while.
.. rst-class:: emphasize-children
- Fixed regression where
GROUP BY
class is missing for an aggregate with a specified order.
- Fixed SQL injection issue in MySQL
- Fixed SQL injection issues in MySQL when using
contains
,starts_with
orends_with
filters (and their case-insensitive counterparts) - Fixed malformed SQL for PostgreSQL and SQLite when using
contains
,starts_with
orends_with
filters (and their case-insensitive counterparts)
- Fix the aggregates using the wrong side of the join when doing a self-referential aggregation.
- Fix for
generate_schemas
param being ignored intortoise.contrib.quart.register_tortoise
- Fixed invalid
var IN ()
SQL generated using__in=
and__not_in
filters. - Fix bug with order_by on nested fields
- Fix joining with self by reverse-foreign-key for filtering and annotation
- Default
values()
&values_list()
now includes annotations. - Annotations over joins now work correctly with
values()
&values_list()
- Ensure
GROUP BY
precedesHAVING
to ensure that filtering by aggregates work correctly. - Cast
BooleanField
values correctly on SQLite & MySQL
- Fix Function with
source_field
option. (#311)
- Install on Windows does not require a C compiler any more.
- Fix
IntegrityError
with unique field andget_or_create
- Now
get_or_none(...)
, classmethod ofModel
class, works in the same way asqueryset
get_or_none(...)
now raisesMultipleObjectsReturned
if multiple object fetched. (#298)
- Add ability to suppply a
to_field=
parameter for FK/O2O to a non-PK but still uniquely indexed remote field. (#287)
- add F expression support in
queryset.update()
- This allows for atomic updates of data in the database. (#294)
- Applies default ordering on related queries
- Fix post-ManyToMany related queries not being evaluated correctly
- Ordering is now preserved on ManyToMany related fetches
- Fix aggregate function on joined table to use correct primary key
- Fix filtering by backwards FK to use correct primary key
- Added
range
filter to supportbetween and
syntax
- Added
ordering
option for modelMeta
class to apply default ordering
- Bumped requirements to cater for newer feature use (#282)
- Alias Foreign Key joins as we can have both self-referencing and duplicate joins to the same table. This generates SQL that differentiates between which instance of the table to work with.
TextField
now recommends usage ofCharField
if wanting unique indexing instead of just saying "indexing not supported".count()
now honours offset and limit- Testing un-awaited
ForeignKeyField
as a boolean expression will automatically resolve asFalse
if it is None - Awaiting a nullable
ForeignKeyField
won't touch the DB if it isNone
QuerySet.Update()
now returns the count of the no of rows affected. Note, thatQuerySet.Delete()
now returns the count of the no of rows deleted.- Note that internal API of
db_connection.execute_query()
now returnsrows_affected, results
. (This is informational only) - Added
get_or_none(...)
as syntactic sugar forfilter(...).first()
- Added
BinaryField
for storing binary objects (bytes
). - Changed
TextField
to useLONGTEXT
for MySQL to allow for larger than 64KB of text. - De-duplicate index if specified on both
index=true
and as part ofindexes
- Primary Keyed
TextField
is marked as deprecated. We can't guarnatee that it will be properly indexed or unique in all cases. - One can now disable the backwards relation for FK/O2O relations by passing
related_name=False
- One can now pass a PK value to a generated field, and Tortoise ORM will use that as the PK as expected. This allows one to have a model that has a autonumber PK, but setting it explicitly if required.
Refactored Fields:
Fields have been refactored, for better maintenance. There should be no change for most users.
- More accurate auto-completion.
- Fields now contain their own SQL schema by dialect, which significantly simplifies adding field types.
describe_model()
now returns the DB type, and dialect overrides.
JSONField
will now automatically usepython-rapidjson
as an accelerator if it is available.DecimalField
and aggregations on it, now behaves much more like expected on SQLite (#256)- Check whether charset name is valid for the MySQL connection (#261)
- Default DB driver parameters are now applied consistently, if you use the URI schema or manual.
- Don't generate a schema if there is no models (#254)
- Emit a
RuntimeWarning
when a module has no models to import (#254) - Allow passing in a custom SSL context (#255)
Added
OneToOneField
implementation:OneToOneField
describes a one to one relation between two models. It can be set from the primary side only, but resolved from both sides in the same way.describe_model(...)
now also reports OneToOne relations in both directions.Usage example:
event: fields.OneToOneRelation[Event] = fields.OneToOneField( "models.Event", on_delete=fields.CASCADE, related_name="address" )
- Prefetching is done concurrently now, sending all prefetch requests at the same time instead of in sequence.
- Enabe foreign key enforcement on SQLite for builds where it was optional.
- The
auto_now_add
argument ofDatetimeField
is handled correctly in the SQLite backend. unique_together
now creates named constrains, to prevent the DB from auto-assigning a potentially non-unique constraint name.- Filtering by an
auto_now
field doesn't replace the filter value withnow()
anymore.
- Handle OR'ing a blank
Q()
correctly (#240)
- Pooling has been implemented, allowing for multiple concurrent databases and all the benefits that comes with it.
- Enabled by default for databases that support it (mysql and postgres) with a minimum pool size of 1, and a maximum of 5
- Not supported by sqlite
- Can be changed by passing the
minsize
andmaxsize
connection parameters
- Many small performance tweaks:
- Overhead of query generation has been reduced by about 6%
- Bulk inserts are ensured to be wrapped in a transaction for >50% speedup
- PostgreSQL prepared queries now use a LRU cache for significant >2x speedup on inserts/updates/deletes
DateField
&DatetimeField
deserializes faster on PostgreSQL & MySQL.- Optimized
.values()
to do less copying, resulting in a slight speedup. - One can now pass kwargs and
Q()
objects as parameters toQ()
objects simultaneously.
indexes
will correctly map the foreign key if referenced by name.- Setting DB generated PK in constructor/create generates exception instead of silently being ignored.
start_transaction
is deprecated, please use@atomic()
orasync with in_transaction():
instead.This release brings with it, deprecation of Python 3.6 / PyPy-3.6:
This is due to small differences with how the backported
aiocontextvars
behaves in comparison to the built-in in Python 3.7+.There is a known context confusion, specifically regarding nested transactions.
.. rst-class:: emphasize-children
- A Field name of
alias
is now no longer reserved. - Restored support for inheriting from Abstract classes. Order is now also deterministic, with the inherited classes' fields being placed before the current.
ManyToManyField
is now a function that has the type of the relation for autocomplete, this allows for better type hinting at less effort.- Added section on adding better autocomplete for relations in editors.
Caution!
This release drops support of Python 3.5:
Tortoise ORM now requires a minimum of CPython 3.6 or PyPy3.6-7.1
- Models, Fields & QuerySets have significant type annotation improvements, leading to better IDE integration and more comprehensive static analysis.
- Fetching records from the DB is now up to 25% faster.
- Database functions
Trim()
,Length()
,Coalesce()
,Lower()
,Upper()
added to tortoise.functions module. - Annotations can be selected inside
Queryset.values()
andQueryset.values_list()
expressions. - Added support for Python 3.8
- The Foreign Key property is now
await
-able as long as one didn't populate it via.prefetch_related()
- One can now specify compound indexes in the
Meta:
class usingindexes
. It works just likeunique_toghether
.
- The generated index name now has significantly lower chance of collision.
- The compiled SQL query contains HAVING and GROUP BY only for aggregation functions.
- Fields for FK relations are quoted properly.
- Fields are quoted properly in
UNIQUE
statements. - Fields are quoted properly in
KEY
statements. - Comment Fields are quoted properly in PostgreSQL dialect.
unique_together
will correctly map the foreign key if referenced by name.
import from tortoise.aggregation
is deprecated, please doimport from tortoise.functions
instead.
- The hash used to make generated indexes unique has changed. The old algorithm had a very high chance of collisions, the new hash algorithm is much better in this regard.
- Dropped support for Python 3.5
.. rst-class:: emphasize-children
- Reverted "The
Field
class now callssuper().__init__
, so mixins are properly initialised." as it was causing issues on Python 3.6.
- Fixed the
_FieldMeta
class not to checking if the 1st base class was Field, so would break with mixins. - The
Field
class now callssuper().__init__
, so mixins are properly initialised.
- Names ForeignKey constraints in a consistent way
- Fields can have 2nd base class which makes IDEs know python type (str, int, datetime...) of the field.
- The
type
parameter ofField.__init__
is removed, instead we use the 2nd base class - Foreign keys and indexes are now defined correctly in MySQL so that they take effect as expected
- MySQL now doesn't warn of unsafe index creation anymore
- Fixed bug in schema creation for MySQL where non-int PK did not get declared properly (#195)
iexact
filter modifier was implemented. Queries like«queryset».filter(name__iexact=...)
will perform case-insensitive search.
- Fix minor bug in
Model.__init__
where we raise the wrong error on setting RFK/M2M values directly. - Fields in
Queryset.values_list()
is now in the defined Model order. - Fields in
Queryset.values()
is now in the defined Model order.
- Sample Starlette integration
- Relational fields are now lazily constructed via properties instead of in the constructor, this results in a significant overhead reduction for Model instantiation with many relationships.
- Assigning to the FK field will correctly set the associated db-field
- Reading a nullalble FK field can now be None
- Nullalble FK fields reverse-FK is now also nullable
- Deleting a nullable FK field sets it to None
- Fixed installing Tortoise-ORM in non-unicode systems. (#180)
«queryset».update(…)
now correctly uses the DB-specificto_db_value()
fetch_related(…)
now correctly encodes non-integer keys.ForeignKey
fields of typeUUIDField
are now escaped consistently.- Pre-generated ForeignKey fields (e.g. UUIDField) is now checked for persistence correctly.
- Duplicate M2M
.add(…)
now checks using consistent field encoding. source_field
Fields are now handled correctly for ordering.source_field
Fields are now handled correctly for updating.
Security fixes for
«model».save()
&«model».delete()
:This is now fully parametrized, and these operations are no longer susceptible to escaping issues.
Performance improvements:
- Simple update is now ~3-6× faster
- Partial update is now ~3× faster
- Delete is now ~2.7x faster
- Fix generated Schema Primary Key for
BigIntField
for MySQL and PostgreSQL. - Added support for using a
SmallIntField
as a auto-gen Primary Key. - Ensure that default PK is added to the top of the attrs.
Model schema now has a discovery API:
One can call
Tortoise.describe_models()
orTortoise.describe_model(<Model>)
to get a full description of the model(s).Please see :meth:`tortoise.Tortoise.describe_model` and :meth:`tortoise.Tortoise.describe_models` for more info.
- Fix in generating comments for Foreign Keys in
MySQL
- Added schema support for PostgreSQL. Either set
"schema": "custom"
var incredentials
or as a query parameter?schema=custom
- Default MySQL charset to
utf8mb4
. If a charset is provided it will also force the TABLE charset to the same.
Warning
This release brings with it, deprecation of Python 3.5:
We will increase the minimum supported version of Python to 3.6, as 3.5 is reaching end-of-life, and is missing many useful features for async applications.
We will discontinue Python 3.5 support on the next major release (Likely 0.14.0)
- Example Sanic integration along with register_tortoise hook in contrib (#163)
.values()
and.values_list()
now default to all fields if none are specified.generate_schema()
now generates well-formatted DDL SQL statements.- Added
TruncationTestCase
testing class that truncates tables to allow faster testing of transactions. - Partial saves are now supported (#157):
obj.save(update_fields=['model','field','names'])
- Fixed state leak between database drivers which could cause incorrect DDL generation.
- Fixed missing table/column comment generation for
ForeignKeyField
andManyToManyField
- Fixed comment generation to escape properly for
SQLite
- Fixed comment generation for
PostgreSQL
to not duplicate comments - Fixed generation of schema for fields that defined custom
source_field
values defined - Fixed working with Models that have fields with custom
source_field
values defined - Fixed safe creation of M2M tables for MySQL dialect (#168)
- Examples have been reworked:
- Simplified init of many examples
- Re-did
generate_schema.py
example - A new
relations_recirsive.py
example (turned into test case)
- Lots of small documentation cleanups
.. rst-class:: emphasize-children
- Support connecting to PostgreSQL via Unix domain socket (simple case).
- Self-referential Foreign and Many-to-Many keys are now allowed
Handle a
__models__
variable within modules to override the model discovery mechanism.If you define the
__models__
variable inyourapp.models
(or wherever you specify to load your models from),generate_schema()
will use that list, rather than automatically finding all models for you.
- Split model consructor into from-Python and from-DB paths, leading to 15-25% speedup for large fetch operations.
- More efficient queryset manipulation, 5-30% speedup for small fetches.
- Using non registered models or wrong references causes an ConfigurationError with a helpful message.
- Inherit fields from Mixins, together with abstract model classes.
- Added description attribute to Field class. (#124)
- Added the ability to leverage field description from (#124) to generate table column comments and ability to add table level comments
- Fix accidental double order-by for
.values()
based queries. (#143)
Bulk insert operation:
Note
The bulk insert operation will do the minimum to ensure that the object created in the DB has all the defaults and generated fields set, this may result in incomplete references in Python.
e.g.
IntField
primary keys will not be populated.This is recommend only for throw away inserts where you want to ensure optimal insert performance.
User.bulk_create([ User(name="...", email="..."), User(name="...", email="...") ])
- Notable efficiency improvement for regular inserts
Tortoise ORM now supports non-autonumber primary keys.
Note
This is a big feature change. It should not break any existing implementations.
That primary key will be accesible through a reserved field
pk
which will be an alias of whichever field has been nominated as a primary key. That alias field can be used as a field name when doing filtering e.g..filter(pk=...)
etc…We currently support single (non-composite) primary keys of any indexable field type, but only these field types are recommended:
IntField BigIntField CharField UUIDField
One must define a primary key by setting a
pk
parameter toTrue
.If you don't define a primary key, we will create a primary key of type
IntField
with name ofid
for you.Any of these are valid primary key definitions in a Model:
id = fields.IntField(pk=True) checksum = fields.CharField(pk=True) guid = fields.UUIDField(pk=True)
.. rst-class:: emphasize-children
- Fixed connection retry to work with transactions
- Added broader PostgreSQL connection failiure detection
- Added automatic PostgreSQL connection retry
- Extra parameters now get passed through to the MySQL & PostgreSQL drivers
- Fixed SQLite handling of DatetimeField
- Code has been reformatted using
black
, and minor code cleanups (#120 #123) - Sample Quart integration (#121)
- Better isolation of connection handling — Allows more dynamic connections so we can do pooling & reconnections.
- Added automatic MySQL connection retry
- Fixed
.count()
when a join happens (#109)
- Fixed
unique_together
for foreign keys (#114) - Fixed Field.to_db_value method to handle Enum (#113 #115 #116)
- Added ability to use
unique_together
meta Model option
- Fixed concurrency isolation when attempting to do multiple concurrent operations on a single connection.
- Fixed several convenience issues with foreign relations:
- FIXED:
.all()
actually returns the _query property as was documented. - New models with FK don't automatically fail to resolve any data. They can now be evaluated lazily.
- FIXED:
- Some DB's don't support OFFSET without Limit, added caps to signal workaround, which is to automatically add limit of 1000000
- Pylint plugin to know about default
related_name
for ForeignKey fields. - Simplified capabilities to be static, and defined at class level.
Added basic DB driver Capabilities.
Test runner now has the ability to skip tests conditionally, based on the DB driver Capabilities:
@requireCapability(dialect='sqlite') async def test_run_sqlite_only(self): ...
Added per-field indexes.
When setting
index=True
on a field, Tortoise will now generate an index for it.Note
Due to MySQL limitation of not supporting conditional index creation, if
safe=True
(the default) is set, it won't create the index and emit a warning about it.We plan to work around this limitation in a future release.
- Performance fix with PyPika for small fetch queries
- Remove parameter hack now that PyPika support Parametrized queries
- Fix typos in JSONField docstring
- Added
.explain()
method onQuerySet
. - Add
required
read-only property to fields
- Added "safe" schema generation
- Correctly convert values to their db representation when using the "in" filter
- Added some common missing field types:
BigIntField
TimeDeltaField
BigIntField
can also be used as a primary key field.
- Test class isolation fixes & contextvars update
- Turned on autocommit for MySQL
- db_url now supports defaults and casting parameters to the right types
- Added
.exclude()
method for QuerySet - Q objects can now be negated for
NOT
query (~Q(...)
) - Support subclassing on existing fields
- Numerous bug fixes
- Removed known broken connection pooling
.. rst-class:: emphasize-children
- Pre-build some query & filters statically, 15-30% speed up for smaller queries.
- Required field params are now positional, so Python and IDE linters will pick up on it easier.
- Filtering also applies DB-specific transforms, Fixes #62
- Fixed recursion error on m2m management with big lists
- Refactor
Tortoise.init()
and test runner to not re-create connections per test, so now tests pass when using an SQLite in-memory database - Can pass event loop to test initializer function:
initializer(loop=loop)
- Fix relative URI for SQLite
- Better error message for invalid filter param.
- Better error messages for missing/bad field params.
nose2
plugin- Test utilities compatible with
py.test
- Uses macros on SQLite driver to minimise syncronisation.
aiosqlite>=0.7.0
- Uses prepared statements for insert, large insert performance increase.
- Pre-generate base pypika query object per model, providing general purpose speedup.
- Performance fixes from
pypika>=0.15.6
- Significant reduction in object creation time
- Fixed SQLite relative db path and :memory: now also works
- Removed confusing error message for missing db driver dependency
- Added
aiosqlite
as a required dependency execute_script()
now annotates errors just likeexecute_query()
, to reduce confusion- Bumped
aiosqlite>=0.6.0
for performance fix - Added
tortoise.run_async()
helper function to make smaller scripts easier to run. It cleans up connections automatically. - SQLite does autocommit by default.
- Fixed atomic decorator to get connection only on function call
- Fixed pre-init queryset objects creation
- Added support for running separate transactions in multidb config
- Changed default app label from 'models' to None
- Fixed ConfigurationError message for wrong connection name
- Set single_connection to True by default, as there is known issues with conection pooling
- Updated documentation
- Fixed M2M manager methods to correctly work with transactions
- Fixed mutating of queryset on select queries
Refactored
Tortoise.init()
to init all connections and discover models from config passed as argument.Caution!
This is a breaking change.
You no longer need to import the models module for discovery, instead you need to provide an app ⇒ modules map with the init call:
async def init(): # Here we create a SQLite DB using file "db.sqlite3" # also specify the app name of "models" # which contain models from "app.models" await Tortoise.init( db_url='sqlite://db.sqlite3', modules={'models': ['app.models']} ) # Generate the schema await Tortoise.generate_schemas()
For more info, please have a look at :ref:`init_app`
- New
transactions
module for implicit working with transactions - Test frameworks overhauled:
- Better performance for test runner, using transactions to keep tests isolated.
- Now depends on an
initializer()
andfinalizer()
to set up and tear down DB state. - Exceptions have been further clarified
- Support for CPython 3.7
- Added support for MySQL/MariaDB
.. rst-class:: emphasize-children
- No more asserts, only Tortoise Exceptions
- Fixed PyLint plugin to work with pylint>=2.0.0
- Formalised unittest classes & documented them.
__slots__
where it was easy to do. (Changes class instances from dicts into tuples, memory savings)
- Fixed backward incompatibility for Python 3.7
JSONField
is now promoted to a standard field.- Fixed
DecimalField
andBooleanField
to work as expected on SQLite. - Added
FloatField
. - Minimum supported version of PostgreSQL is 9.4
- Added
.get(...)
shortcut on query set. values()
andvalues_list()
now converts field values to python types
- Fixed
through
parameter honouring forManyToManyField
Added support for nested queries for
values
andvalues_list
:result = await Event.filter(id=event.id).values('id', 'name', tournament='tournament__name') result = await Event.filter(id=event.id).values_list('id', 'participants__name')
- Fixed
DatetimeField
andDateField
to work as expected on SQLite. - Added
PyLint
plugin. - Added test class to mange DB state for testing isolation.
- Added PostgreSQL
JSONField
- Added
.annotate()
method and basic aggregation funcs
- Added
Prefetch
object
- Added
contains
and other filter modifiers. - Field kwarg
default
now accepts functions.
- Immutable QuerySet.
unique
flag for fields
Added schema generation and more options for fields:
from tortoise import Tortoise from tortoise.backends.sqlite.client import SqliteClient from tortoise.utils import generate_schema client = SqliteClient(db_name) await client.create_connection() Tortoise.init(client) await generate_schema(client)
Added filtering and ordering by related models fields:
await Tournament.filter( events__name__in=['1', '3'] ).order_by('-events__participants__name').distinct()