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trycast
This module provides a single function trycast
which can be used to parse a
JSON-like value.
Here is an example of parsing a Point2D
object defined as a TypedDict
:
from bottle import HTTPResponse, request, route
from trycast import trycast
from typing import TypedDict
class Point2D(TypedDict):
x: float
y: float
name: str
@route('/draw_point')
def draw_point_endpoint() -> None:
request_json = request.json # type: object
if (point := trycast(Point2D, request_json)) is not None:
draw_point(point) # type is narrowed to Point2D
else:
return HTTPResponse(status=400) # Bad Request
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, Union
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 = Union[Circle, Rect] # a Tagged Union!
@route('/draw_shape')
def draw_shape_endpoint() -> None:
request_json = request.json # type: object
if (shape := trycast(Shape, request_json)) is not None:
draw_shape(shape) # type is narrowed to Shape
else:
return HTTPResponse(status=400) # Bad Request
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. These limitations are in the process of being resolved by introducing TypeForm support to mypy.
Recommendations when using trycast
- So that
trycast()
can recognize TypedDicts with mixed required and optional 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.
Release Notes
Future
- See the Roadmap.
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 optional 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.
v0.0.1
- Initial release.
- Supports typechecking all types found in JSON.
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