Skip to main content

Woodlark runtime adapters

Project description

woodlark

PyPI - Version PyPI - Python Version

Woodlark runtime adapters.

Installation

pip install woodlark

Usage

from woodlark.adapters.psycopg import PsycopgAdapter, PsycopgAsyncAdapter
from generated.queries import GetUser, GetUserParams, CountUsers

def get_user(adapter: PsycopgAdapter, user_id: int) -> GetUserRow:
    return adapter.execute(GetUser, GetUserParams(id=user_id))

async def count_users(adapter: PsycopgAsyncAdapter) -> int:
    return await adapter.execute(CountUsers)

License

woodlark is distributed under the terms of the Apache-2.0 license.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

woodlark-0.1.1.tar.gz (16.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

woodlark-0.1.1-py3-none-any.whl (9.2 kB view details)

Uploaded Python 3

File details

Details for the file woodlark-0.1.1.tar.gz.

File metadata

  • Download URL: woodlark-0.1.1.tar.gz
  • Upload date:
  • Size: 16.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for woodlark-0.1.1.tar.gz
Algorithm Hash digest
SHA256 e4f389767bb7216ba62949d0ef55c1e5a55f86473046534c3e56aadc54cdc75b
MD5 7f7e1fccaaec58e39bbc16e065e5cdf4
BLAKE2b-256 16dda7b1aed35f803d5ec55fe11789045f919cbe63ea4e7f98f41d9d1ea4676d

See more details on using hashes here.

Provenance

The following attestation bundles were made for woodlark-0.1.1.tar.gz:

Publisher: release.yml on xoudini/woodlark

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file woodlark-0.1.1-py3-none-any.whl.

File metadata

  • Download URL: woodlark-0.1.1-py3-none-any.whl
  • Upload date:
  • Size: 9.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for woodlark-0.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 84fd4e2c5c467ae45fd0a0b29670870cb7d4c243a40158280700b158876c71d1
MD5 cd8df4edcdb54ca0a3a9c5cb483ac4b2
BLAKE2b-256 5ce205d0af7d320e0597309d723e6760528732defd28b7776e78f853ad5c3714

See more details on using hashes here.

Provenance

The following attestation bundles were made for woodlark-0.1.1-py3-none-any.whl:

Publisher: release.yml on xoudini/woodlark

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page