Skip to main content

Prefect collection to interact with Stitch

Project description

prefect-stitch

Welcome!

Prefect collection to interact with Stitch

Getting Started

Python setup

Requires an installation of Python 3.7+.

We recommend using a Python virtual environment manager such as pipenv, conda or virtualenv.

These tasks are designed to work with Prefect 2.0. For more information about how to use Prefect, please refer to the Prefect documentation.

Installation

Install prefect-stitch with pip:

pip install prefect-stitch

Write and run a flow

from prefect import flow
from prefect_stitch.tasks import (
    start_replication_job
)


@flow
def example_flow():
    start_replication_job(
        access_token="my_secret_token",
        source_id=1234
    )

example_flow()

Resources

If you encounter any bugs while using prefect-stitch, feel free to open an issue in the prefect-stitch repository.

If you have any questions or issues while using prefect-stitch, you can find help in either the Prefect Discourse forum or the Prefect Slack community.

Development

If you'd like to install a version of prefect-stitch for development, clone the repository and perform an editable install with pip:

git clone https://github.com/AlessandroLollo/prefect-stitch.git

cd prefect-stitch/

pip install -e ".[dev]"

# Install linting pre-commit hooks
pre-commit install

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

prefect-stitch-0.1.0.tar.gz (25.4 kB view details)

Uploaded Source

Built Distribution

prefect_stitch-0.1.0-py3-none-any.whl (9.2 kB view details)

Uploaded Python 3

File details

Details for the file prefect-stitch-0.1.0.tar.gz.

File metadata

  • Download URL: prefect-stitch-0.1.0.tar.gz
  • Upload date:
  • Size: 25.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for prefect-stitch-0.1.0.tar.gz
Algorithm Hash digest
SHA256 fad336f2ec0a1049defeadf391079fd6575f89db83c9913d5f89728e02dbb4b3
MD5 792ac5409ce7c6fe90bb00b9fe2d2965
BLAKE2b-256 3707cfda8f13fefe112e193c26c46580c5e0671efcbb90b19db3cef267218808

See more details on using hashes here.

File details

Details for the file prefect_stitch-0.1.0-py3-none-any.whl.

File metadata

File hashes

Hashes for prefect_stitch-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 a3e37b5758c0713bffdbd35d7d50c17d00fb451fac963057e4432b083de2e8e5
MD5 f1a305254cbb6ca407fdd2e5340ea411
BLAKE2b-256 fdfec48ad6b4f0b2baee23427255d9e5775feed31f10c2abb8f064581627f38e

See more details on using hashes here.

Supported by

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