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bearboto3
This project provides support for using the boto3 library (AWS Python SDK) and associated stub libraries such as boto3-stubs together with beartype for runtime type-checking.
Since boto3 uses a data-driven factory model to create class types at runtime, you cannot annotate them without support of stub libraries such as boto3-stubs. However, if you are using a runtime type-checker such as beartype, type validation will fail since the types technically do not match (even though they represent the same object schema).
Behold...
this project makes use of the typing.TYPE_CHECKING constant found in the python typing module to conditionally load either static types from a stub library (in this case boto3-stubs), or custom annotated types that can be checked with beartype.
Installation/Use
See the list of services to see what is currently implemented.
Supported python versions:
>= 3.7
Install with pip:
pip3 install bearboto3
or with whatever dependency management tool you use (like poetry):
poetry add bearboto3
Then in your code, import the specific types you need:
from beartype import beartype
from bearboto3.s3 import S3Client, Bucket
import boto3
@beartype
def example(s3: S3Client) -> Bucket:
return s3.create_bucket(Bucket='mybucket')
s3_client = boto3.client('s3')
bucket = example(s3_client)
You will be able to have your salmon and eat it too!
Installing the type stubs
At present, there does not appear to be a way in pyproject.toml to specify extra/optional packages that should be installed as dev dependencies. The type stubs for each service (which allow for IDE integration courtsey of boto3-stubs) can be installed as extras such as:
poetry install bearboto3[s3]
but NOTE this will install the type stubs as runtime dependencies given the limitations above. The type stub libraries are not needed to run any code you use this package with, so the recommended approach is to install whatever type stubs you need yourself in your project's dev-dependencies section.
Future work includes being able to isolate installing bearboto3 runtime type definitions per service, like you are able to specify with moto and boto3-stubs.
Versioning
For the most part this project will try to adhere to semantic versioning. The first 1.0.0 release will come when type checking for all of the AWS services have been finished. 0.x.0 releases will contain type checking for new services, and 0.x.x releases will contain any fixes on the existing implemented services.
If the community disagrees with this approach and would like to propose an alternative, please feel free to start a discussion or open an issue.
Contributing
See contributing
Acknowledgements
- @leycec For being an avid supporter and welcoming me to the
beartypefamily
Metadata
Release files for bearboto3 0.1.3
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| bearboto3-0.1.3.tar.gz | 13.9 kB | Without provenance | Details for bearboto3-0.1.3.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| bearboto3-0.1.3-py3-none-any.whl | Python 3 | none | any | Details for bearboto3-0.1.3-py3-none-any.whl |
Total release size: 27.7 kB
Release files / bearboto3-0.1.3.tar.gz
| Download URL | bearboto3-0.1.3.tar.gz |
|---|---|
| Size | 13.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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poetry/1.1.13 CPython/3.10.2 Linux/5.13.0-1023-azure
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Release files / bearboto3-0.1.3-py3-none-any.whl
| Download URL | bearboto3-0.1.3-py3-none-any.whl |
|---|---|
| Size | 13.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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poetry/1.1.13 CPython/3.10.2 Linux/5.13.0-1023-azure
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