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Description:

pypane 0.8.2

pane
pane is a modern Python library for dataclasses and data conversion, aiming
for speed and expressiveness.

pane draws heavy inspiration from Pydantic (among others), but its goals
are quite different. For example, pane has first-class conversion to and from
all JSON datatypes, not just mappings (and no 'root' hacks necessary).
In this sense pane is a library for general data conversion & validation,
while Pydantic is a dataclass-first library. In addition, pane is stricter
than Pydantic in several cases. For instance, pane will not attempt to coerce
3.14 or "3" to an integer.
pane is designed to be used to create complex declarative configuration languages
in formats like JSON, TOML, and YAML. This requires full support for complex, nested
types like t.Union[int, t.Tuple[int, str], list[int]]. It also requires
useful error messages:
>>> pane.convert('fail', t.Union[int, t.Tuple[int, str], list[int]])
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "pane/convert.py", line 489, in convert
return from_data(data, ty)
^^^^^^^^^^^^^^^^^^^
File "pane/convert.py", line 484, in from_data
return converter.convert(val)
^^^^^^^^^^^^^^^^^^^^^^
File "pane/convert.py", line 128, in convert
raise ConvertError(node)
pane.convert.ConvertError: Expected one of:
- an int
- tuple of length 2
- sequence
Instead got `fail` of type `str`

Features
pane is a work in progress. The following is a roadmap of features:

Feature
State

Basic type conversions
Done

Numeric array types (numpy)
Done

Sum & product type support
Done

Tagged unions
Partial

'Flattened' fields
Planned

Basic dataclasses
Done

Dataclass helpers
Partial

Generic & inherited dataclasses
Done

Parameter aliases & renaming
Done

Arbitrary validation logic
Done

Schema import/export
Not planned