| Name | castfit JSON |
| Version |
0.1.0
JSON |
| download |
| home_page | |
| Summary | Basic type casting. |
| upload_time | 2023-12-15 12:15:43 |
| maintainer | |
| docs_url | None |
| author | |
| requires_python | >=3.8 |
| license | MIT |
| keywords |
type
casting
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
|
# castfit
_Basic type casting._
[](https://github.com/metaist/castfit/actions)
[](https://pypi.org/project/castfit)
[](https://pypi.org/project/castfit)
[Changelog] - [Issues] - [Documentation]
[changelog]: https://github.com/metaist/castfit/blob/main/CHANGELOG.md
[issues]: https://github.com/metaist/castfit/issues
[documentation]: https://metaist.github.io/castfit/
## Why?
I'm writing more and more type-checked code, but I often get a bunch of strings I need to convert (e.g., from [`docopt`](https://github.com/docopt/docopt)).
- [`pydantic`](https://github.com/pydantic/pydantic) feels heavy.
- [`type-docopt`](https://github.com/dreamgonfly/type-docopt) uses a new syntax.
- [`bottle`](https://github.com/bottlepy/bottle) seems like good inspiration for small, useful libraries.
## Install
```bash
python -m pip install castfit
```
## Example
```python
from pathlib import Path
from castfit import castfit
class Cat:
name: str
age: int
weight: float
logo: Path
bob = castfit(Cat, dict(name="Bob", age="4", weight="3.2", logo="./bob.png"))
assert bob.name == "Bob"
assert bob.age == 4
assert bob.weight == 3.2
assert bob.logo == Path("./bob.png")
```
## License
[MIT License](https://github.com/metaist/castfit/blob/main/LICENSE.md)
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