prefect-slack 0.3.1
pip install prefect-slack
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Prefect integrations with Slack
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- License: Apache Software License (Apache License 2.0)
- Author: Prefect Technologies, Inc.
- Tags prefect
- Requires: Python >=3.9
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dev
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Project description
prefect-slack
Welcome!
prefect-slack
is a collection of prebuilt Prefect tasks that can be used to quickly construct Prefect flows.
Getting Started
Python setup
Requires an installation of Python 3.9+
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-slack
pip install prefect-slack
Slack setup
In order to use tasks in the collection, you'll first need to create an Slack app and install it in your Slack workspace. You can create a Slack app by navigating to the apps page for your Slack account and selecting 'Create New App'.
For tasks that require a Bot user OAuth token, you can get a token for your app by navigating to your apps OAuth & Permissions page.
For tasks that require and Webhook URL, you get generate new Webhook URLs by navigating to you apps Incoming Webhooks page.
Slack's Basic app setup guide provides additional details on setting up a Slack app.
Write and run a flow
from prefect import flow
from prefect.context import get_run_context
from prefect_slack import SlackCredentials
from prefect_slack.messages import send_chat_message
@flow
def example_send_message_flow():
context = get_run_context()
# Run other tasks and subflows here
token = "xoxb-your-bot-token-here"
send_chat_message(
slack_credentials=SlackCredentials(token),
channel="#prefect",
text=f"Flow run {context.flow_run.name} completed :tada:"
)
example_send_message_flow()
Project details
Unverified details
These details have not been verified by PyPIProject links
Meta
- License: Apache Software License (Apache License 2.0)
- Author: Prefect Technologies, Inc.
- Tags prefect
- Requires: Python >=3.9
-
Provides-Extra:
dev
Classifiers
- Intended Audience
- License
- Natural Language
- Programming Language
- Topic
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