A Python3.13+ library that wraps cattrs for a modular approach to constructing objects with the ability to string data through the process.
Install from pypi:
> python -m pip install strcs
Documentation at https://strcs.readthedocs.io/
Example
from typing import Annotated, NewType
import attrs
import strcs
reg = strcs.CreateRegister()
creator = reg.make_decorator()
Number = NewType("Number", int)
Word = NewType("Word", str)
@attrs.define(frozen=True)
class Maths(strcs.MetaAnnotation):
multiply: int
def calculate(self, val: int) -> Number:
return Number(val * self.multiply)
class Thing:
pass
@attrs.define
class Config:
thing: Annotated[Thing, strcs.FromMeta("thing")]
words: list[Word]
some_number: Annotated[Number, Maths(multiply=2)]
contrived1: str
contrived2: str
some_other_number: int = 16
@creator(Number)
def create_number(val: object, /, annotation: Maths) -> strcs.ConvertResponse[Number]:
if not isinstance(val, int):
return None
return annotation.calculate(val)
@creator(Word)
def create_word(val: object, /, word_prefix: str = "") -> strcs.ConvertResponse[Word]:
if not isinstance(val, str):
return None
return Word(f"{word_prefix}{val}")
@creator(Config)
def create_config(val: object, /) -> strcs.ConvertResponse[Config]:
if not isinstance(val, dict):
return None
result = dict(val)
if "contrived" in result:
contrived = result.pop("contrived")
result["contrived1"], result["contrived2"] = contrived.split("_")
return result
thing = Thing()
meta = strcs.Meta({"thing": thing, "word_prefix": "the_prefix__"})
config = reg.create(
Config,
{"words": ["one", "two"], "some_number": 20, "contrived": "stephen_bob"},
meta=meta,
)
print(config)
assert isinstance(config, Config)
assert config.thing is thing
assert config.words == ["the_prefix__one", "the_prefix__two"]
assert config.some_number == 40
assert config.some_other_number == 16
assert config.contrived1 == "stephen"
assert config.contrived2 == "bob"
Development
To have a virtualenv that has everything needed in it:
> source run.sh activate
To run tests, linting, formatting, type checking:
> ./test.sh > ./lint > ./format > ./types
Metadata
Release files for strcs 0.5.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| strcs-0.5.0.tar.gz | 19.1 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| strcs-0.5.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 19.1 MB
Release files / strcs-0.5.0.tar.gz
| Download URL | strcs-0.5.0.tar.gz |
|---|---|
| Size | 19.1 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
3ac7b4912ac00c0ba261ab59a24b83ef5a969a0d364fa03001223d225c0c9b06
|
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| Download URL | strcs-0.5.0-py3-none-any.whl |
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| Size | 47.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.12.9
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on May 11, 2025.
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