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trycast
Trycast helps parses JSON-like values whose shape is defined by typed dictionaries (TypedDicts) and other standard Python type hints.
You can use the trycast()
, checkcast()
, or isassignable()
functions below
for parsing:
trycast()
Here is an example of parsing a Point2D
object defined as a TypedDict
using trycast()
:
from bottle import HTTPResponse, request, route # Bottle is a web framework
from trycast import trycast
from typing import TypedDict
class Point2D(TypedDict):
x: float
y: float
name: str
@route('/draw_point')
def draw_point_endpoint() -> HTTPResponse:
request_json = request.json # type: object
if (point := trycast(Point2D, request_json)) is None:
return HTTPResponse(status=400) # Bad Request
draw_point(point) # type is narrowed to Point2D
return HTTPResponse(status=200)
def draw_point(point: Point2D) -> None:
...
In this example the trycast
function is asked to parse a request_json
into a Point2D
object, returning the original object (with its type narrowed
appropriately) if parsing was successful.
More complex types can be parsed as well, such as the Shape
in the following
example, which is a tagged union that can be either a Circle
or Rect
value:
from bottle import HTTPResponse, request, route
from trycast import trycast
from typing import Literal, TypedDict
class Point2D(TypedDict):
x: float
y: float
class Circle(TypedDict):
type: Literal['circle']
center: Point2D # a nested TypedDict!
radius: float
class Rect(TypedDict):
type: Literal['rect']
x: float
y: float
width: float
height: float
Shape = Circle | Rect # a Tagged Union!
@route('/draw_shape')
def draw_shape_endpoint() -> HTTPResponse:
request_json = request.json # type: object
if (shape := trycast(Shape, request_json)) is None:
return HTTPResponse(status=400) # Bad Request
draw_shape(shape) # type is narrowed to Shape
return HTTPResponse(status=200) # OK
Important: Current limitations in the mypy typechecker require that you add an extra
cast(Optional[Shape], ...)
around the call totrycast
in the example so that it is accepted by the typechecker without complaining:shape = cast(Optional[Shape], trycast(Shape, request_json)) if shape is None: ...These limitations are in the process of being resolved by introducing TypeForm support to mypy.
checkcast()
checkcast()
is similar to trycast()
but instead of returning None
when parsing fails it raises an exception explaining why and where the
parsing failed.
Here is an example of parsing a Circle
object using checkcast()
:
>>> from typing import Literal, TypedDict
>>> from trycast import checkcast
>>>
>>> class Point2D(TypedDict):
... x: float
... y: float
...
>>> class Circle(TypedDict):
... type: Literal['circle']
... center: Point2D # a nested TypedDict!
... radius: float
...
>>> checkcast(Circle, {"type": "circle", "center": {"x": 1}, "radius": 10})
Traceback (most recent call last):
...
trycast.ValidationError: Expected Circle but found {'type': 'circle', 'center': {'x': 1}, 'radius': 10}
At key 'center': Expected Point2D but found {'x': 1}
Required key 'y' is missing
>>>
ValidationError
only spends time generating a message if you try to print it
or stringify it, so can be cheaply caught if you only want to use it for
control flow purposes.
isassignable()
Here is an example of parsing a Shape
object defined as a union of
TypedDict
s using isassignable()
:
class Circle(TypedDict):
type: Literal['circle']
...
class Rect(TypedDict):
type: Literal['rect']
...
Shape = Circle | Rect # a Tagged Union!
@route('/draw_shape')
def draw_shape_endpoint() -> HTTPResponse:
request_json = request.json # type: object
if not isassignable(request_json, Shape):
return HTTPResponse(status=400) # Bad Request
draw_shape(request_json) # type is narrowed to Shape
return HTTPResponse(status=200) # OK
Important: Current limitations in the mypy typechecker prevent the automatic narrowing of the type of
request_json
in the above example toShape
, so you must add an additionalcast()
to narrow the type manually:if not isassignable(request_json, Shape): ... shape = cast(Shape, request_json) # type is manually narrowed to Shape draw_shape(shape)These limitations are in the process of being resolved by introducing TypeForm support to mypy.
A better isinstance()
isassignable(value, T)
is similar to Python's builtin isinstance()
but
additionally supports checking against arbitrary type annotation objects
including TypedDicts, Unions, Literals, and many others.
Formally, isassignable(value, T)
checks whether value
is consistent with a
variable of type T
(using PEP 484 static
typechecking rules), but at runtime.
Motivation & Alternatives
Why use trycast?
The trycast module is primarily designed for recognizing JSON-like structures that can be described by Python's typing system. Secondarily, it can be used for recognizing arbitrary structures that can be described by Python's typing system.
Please see Philosophy for more information about how trycast differs from similar libraries like pydantic.
Why use TypedDict?
Typed dictionaries are the natural form that JSON data comes in over the wire. They can be trivially serialized and deserialized without any additional logic. For applications that use a lot of JSON data - such as web applications - using typed dictionaries is very convenient for representing data structures.
If you just need a lightweight class structure that doesn't need excellent support for JSON-serialization you might consider other alternatives for representing data structures in Python such as dataclasses (recommended), named tuples, attrs, or plain classes.
Installation
python -m pip install trycast
Recommendations while using trycast
- So that
trycast()
can recognize TypedDicts with mixed required and not-required keys correctly:- Use Python 3.9+ if possible.
- Prefer using
typing.TypedDict
, unless you must use Python 3.8. In Python 3.8 prefertyping_extensions.TypedDict
instead. - Avoid using
mypy_extensions.TypedDict
in general.
Presentations & Videos
A presentation about using trycast to parse JSON was given at the 2021 PyCon US Typing Summit:
A presentation describing tools that use Python type annotations at runtime, including trycast, was given at the 2022 PyCon US Typing Summit:
Contributing
Pull requests are welcome! The Python Community Code of Conduct does apply.
You can checkout the code locally using:
git clone git@github.com:davidfstr/trycast.git
cd trycast
Create your local virtual environment to develop in using Poetry:
poetry shell
poetry install
You can run the existing automated tests in the current version of Python with:
make test
You can also run the tests against all supported Python versions with:
make testall
See additional development commands by running:
make help
License
Feature Reference
Typing Features Supported
- Scalars
- bool
- int
- float
- None, type(None)
- Strings
- str
- Raw Collections
- list, List
- tuple, Tuple
- Sequence, MutableSequence
- dict, Dict
- Mapping, MutableMapping
- Generic Collections
(including PEP 585)
- list[T], List[T]
- tuple[T, ...], Tuple[T, ...]
- Sequence[T], MutableSequence[T]
- dict[K, V], Dict[K, V]
- Mapping[K, V], MutableMapping[K, V]
- TypedDict
- Tuples (Heterogeneous)
- tuple[T1], tuple[T1, T2], tuple[T1, T2, T3], etc
- Tuple[T1], Tuple[T1, T2], Tuple[T1, T2, T3], etc
- Unions
- Union[X, Y]
- Optional[T]
- X | Y (PEP 604)
- Literals
- Literal[value] (PEP 586)
- Callables
- Callable
- Callable[P, R] (where P=[Any]*N and R=Any)
- NewTypes (when strict=False)
- Special Types
- Any
- Never
- NoReturn
Type Checkers Supported
Trycast does type check successfully with the following type checkers:
API Reference
trycast API
def trycast(
tp: TypeForm[T]† | TypeFormString[T]‡,
value: object,
/, failure: F = None,
*, strict: bool = True,
eval: bool = True
) -> T | F: ...
If value
is in the shape of tp
(as accepted by a Python typechecker
conforming to PEP 484 "Type Hints") then returns it, otherwise returns
failure
(which is None by default).
This method logically performs an operation similar to:
return value if isinstance(tp, value) else failure
except that it supports many more types than isinstance
, including:
- List[T]
- Dict[K, V]
- Optional[T]
- Union[T1, T2, ...]
- Literal[...]
- T extends TypedDict
Similar to isinstance(), this method considers every bool value to also be a valid int value, as consistent with Python typecheckers:
trycast(int, True) -> True
isinstance(True, int) -> True
Note that unlike isinstance(), this method considers every int value to also be a valid float or complex value, as consistent with Python typecheckers:
trycast(float, 1) -> 1
trycast(complex, 1) -> 1
isinstance(1, float) -> False
isinstance(1, complex) -> False
Note that unlike isinstance(), this method considers every float value to also be a valid complex value, as consistent with Python typecheckers:
trycast(complex, 1.0) -> 1
isinstance(1.0, complex) -> False
Parameters:
- strict --
- If strict=False then this function will additionally accept
mypy_extensions.TypedDict instances and Python 3.8 typing.TypedDict
instances for the
tp
parameter. Normally these kinds of types are rejected with a TypeNotSupportedError because these types do not preserve enough information at runtime to reliably determine which keys are required and which are potentially-missing. - If strict=False then
NewType("Foo", T)
will be treated the same asT
. Normally NewTypes are rejected with a TypeNotSupportedError because values of NewTypes at runtime are indistinguishable from their wrapped supertype.
- If strict=False then this function will additionally accept
mypy_extensions.TypedDict instances and Python 3.8 typing.TypedDict
instances for the
- eval -- If eval=False then this function will not attempt to resolve string type references, which requires the use of the eval() function. Otherwise string type references will be accepted.
Raises:
- TypeNotSupportedError --
- If strict=True and either mypy_extensions.TypedDict or a
Python 3.8 typing.TypedDict is found within the
tp
argument. - If strict=True and a NewType is found within the
tp
argument. - If a TypeVar is found within the
tp
argument. - If an unrecognized Generic type is found within the
tp
argument.
- If strict=True and either mypy_extensions.TypedDict or a
Python 3.8 typing.TypedDict is found within the
- UnresolvedForwardRefError --
If
tp
is a type form which contains a ForwardRef. - UnresolvableTypeError --
If
tp
is a string that could not be resolved to a type.
Footnotes:
-
† TypeForm[T] is a type annotation object. For example:
list[str]
-
‡ TypeFormString[T] is a stringified type annotation object. For example:
"list[str]"
checkcast API
def checkcast(
tp: TypeForm[T]† | TypeFormString[T]‡,
value: object,
/, *, strict: bool = True,
eval: bool = True
) -> T: ...
If value
is in the shape of tp
(as accepted by a Python typechecker
conforming to PEP 484 "Type Hints") then returns it, otherwise
raises ValidationError.
This method logically performs an operation similar to:
if isinstance(tp, value):
return value
else:
raise ValidationError(tp, value)
except that it supports many more types than isinstance
, including:
- List[T]
- Dict[K, V]
- Optional[T]
- Union[T1, T2, ...]
- Literal[...]
- T extends TypedDict
See trycast.trycast() for information about parameters, raised exceptions, and other details.
Raises:
- ValidationError -- If
value
is not in the shape oftp
. - TypeNotSupportedError
- UnresolvedForwardRefError
- UnresolvableTypeError
isassignable API
def isassignable(
value: object,
tp: TypeForm[T]† | TypeFormString[T]‡,
/, *, eval: bool = True
) -> TypeGuard[T]: ...
Returns whether value
is in the shape of tp
(as accepted by a Python typechecker conforming to PEP 484 "Type Hints").
This method logically performs an operation similar to:
return isinstance(value, tp)
except that it supports many more types than isinstance
, including:
- List[T]
- Dict[K, V]
- Optional[T]
- Union[T1, T2, ...]
- Literal[...]
- T extends TypedDict
See trycast.trycast(..., strict=True) for information about parameters, raised exceptions, and other details.
Changelog
Future
- See the Roadmap.
v1.2.0
- Add
checkcast()
, an alternative totrycast()
which raises aValidationError
upon failure instead of returningNone
. (#16) - Add support for Python 3.13.
- Recognize
ReadOnly[]
from PEP 705. (#25)
- Recognize
- Add support for Python 3.12.
- Recognize
type
statements from PEP 695. (#29)
- Recognize
- Enhance support for Python 3.11:
- Recognize special
Never
values. (#26)
- Recognize special
- Drop support for Python 3.7. (#21)
- Enforce that calls to
trycast()
andisassignable()
pass the first 2 arguments in positional fashion and not in a named fashion: (#18) (Breaking change)- Yes:
trycast(T, value)
,isassignable(value, T)
- No:
trycast(tp=T, value=value)
,isassignable(value=value, tp=T)
- Yes:
v1.1.0
- Fix
trycast()
to recognize TypedDicts with extra keys. (#19)- This new behavior helps recognize JSON structures with arbitrary additional keys and is consistent with how static typecheckers treat additional keys.
- Fix magic wand in logo to look more like a magic wand. (#20)
v1.0.0
- Extend
trycast()
to recognize more kinds of types:- Extend
trycast()
to recognizeset[T]
andSet[T]
values. - Extend
trycast()
to recognizefrozenset[T]
andFrozenSet[T]
values. - Extend
trycast()
to recognizeCallable
andCallable[P, R]
types whenP
andR
only containAny
. - Extend
trycast()
to recognizeNewType
types when strict=False. - Extend
trycast()
to explicitly disallowTypeVar
types. - Extend
trycast()
to explicitly disallow unrecognizedGeneric
types.
- Extend
- Fix issues with PEP 484 conformance: (Breaking change)
bool
values are now correctly treated as assignable toint
.bool
,int
, andfloat
values are now correctly treated as assignable tocomplex
.
- Add support for Python 3.11.
- Documentation improvements:
- Add installation instructions.
- Improve differentiation from similar libraries.
- Document supported typing features & type checkers.
- Mention that trycast() and isassignable() accept TypeFormString[T] in addition to TypeForm[T].
- Add developer documentation.
v0.7.3
- Support X|Y syntax for Union types from PEP 604.
- Documentation improvements:
- Improve introduction.
- Add API reference.
v0.7.2
- Add logo.
v0.7.1
- Upgrade development status from Beta to Production/Stable: 🎉
- trycast is thoroughly tested.
- trycast has high code coverage (98%, across Python 3.7-3.10).
- trycast has been in production use for over a year at at least one company without issues.
- trycast supports all major Python type checkers (Mypy, Pyright/Pylance, Pyre, Pytype).
- trycast's initial API is finalized.
- Fix
coverage
to be a dev-dependency rather than a regular dependency.
v0.7.0
- Finalize the initial API:
- Alter
trycast()
to usestrict=True
by default rather thanstrict=False
. (Breaking change) - Define trycast's
__all__
to export only thetrycast
andisassignable
functions.
- Alter
- Add support for additional type checkers, in addition to Mypy:
- Extend
trycast()
to recognize specialAny
andNoReturn
values. - Fix
trycast()
to provide better diagnostic error when given a tuple of types as itstp
argument. Was broken in v0.6.0.
v0.6.1
- Fix
trycast(..., eval=False)
to not usetyping.get_type_hints()
, which internally callseval()
. - Fix
trycast()
andisassignable()
to avoid swallowing KeyboardInterrupt and other non-Exception BaseExceptions.
v0.6.0
- Extend
trycast()
to recognize a stringified type argument. - Extend
trycast()
to report a better error message when given a type argument with an unresolved forward reference (ForwardRef
). - Fix
strict
argument totrycast
to be passed to inner calls oftrycast
correctly.- This also fixes
isassignable()
's use of strict matching to be correct.
- This also fixes
- Alter
trycast()
to interpret a type argument ofNone
or"None"
as an alias fortype(None)
, as consistent with PEP 484. - Alter
TypeNotSupportedError
to extendTypeError
rather thanValueError
. (Breaking change)- This is consistent with
trycast
's andisinstance
's behavior of using aTypeError
rather than aValueError
when there is a problem with itstp
argument.
- This is consistent with
- Drop support for Python 3.6. (Breaking change)
- Python 3.6 is end-of-life.
v0.5.0
isassignable()
is introduced to the API:isassignable()
leveragestrycast()
to enable type-checking of values against type objects (i.e. type forms) provided at runtime, using the same PEP 484 typechecking rules used by typecheckers such as mypy.
- Extend
trycast()
to recognizeRequired[]
andNotRequired[]
from PEP 655, as imported fromtyping_extensions
. - Extend
trycast()
to support astrict
parameter that controls whether it acceptsmypy_extensions.TypedDict
or Python 3.8typing.TypedDict
instances (which lack certain runtime type information necessary for accurate runtime typechecking).- For now
strict=False
by default for backward compatibility with earlier versions oftrycast()
, but this default is expected to be altered tostrict=True
when/before trycast v1.0.0 is released.
- For now
- Rename primary development branch from
master
tomain
.
v0.4.0
- Upgrade development status from Alpha to Beta:
- trycast is thoroughly tested.
- trycast has high code coverage (92% on Python 3.9).
- trycast has been in production use for over a year at at least one company without issues.
- Add support for Python 3.10.
- Setup continuous integration with GitHub Actions, against Python 3.6 - 3.10.
- Migrate to the Black code style.
- Introduce Black and isort code formatters.
- Introduce flake8 linter.
- Introduce coverage.py code coverage reports.
v0.3.0
- TypedDict improvements & fixes:
- Fix
trycast()
to recognize custom Mapping subclasses as TypedDicts.
- Fix
- Extend
trycast()
to recognize more JSON-like values:- Extend
trycast()
to recognizeMapping
andMutableMapping
values. - Extend
trycast()
to recognizetuple[T, ...]
andTuple[T, ...]
values. - Extend
trycast()
to recognizeSequence
andMutableSequence
values.
- Extend
- Extend
trycast()
to recognizetuple[T1, T2, etc]
andTuple[T1, T2, etc]
values. - Documentation improvements:
- Improve introduction.
- Outline motivation to use trycast and note alternatives.
v0.2.0
- TypedDict improvements & fixes:
- Fix
trycast()
to recognize TypedDicts frommypy_extensions
. - Extend
trycast()
to recognize TypedDicts that contain forward-references to other types.- Unfortunately there appears to be no easy way to support arbitrary kinds of types that contain forward-references.
- In particular {Union, Optional} types and collection types (List, Dict)
with forward-references remain unsupported by
trycast()
.
- Recognize TypedDicts that have mixed required and not-required keys correctly.
- Exception: Does not work for mypy_extensions.TypedDict or Python 3.8's typing.TypedDict due to insufficient runtime type annotation information.
- Fix recognition of a total=False TypedDict so that extra keys are disallowed.
- Fix
- Alter
typing_extensions
to be an optional dependency oftrycast
.
v0.1.0
- Add support for Python 3.6, 3.7, and 3.9, in addition to 3.8.
v0.0.2
- Fix README to appear on PyPI.
- Add other package metadata, such as the supported Python versions.
v0.0.1a
- Initial release.
- Supports typechecking all types found in JSON.
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