Source code for dagster_slack.sensors

from typing import Any, Callable, Dict, List, Optional, Tuple, Union

from slack_sdk import WebClient

from dagster import DefaultSensorStatus
from dagster.core.definitions import GraphDefinition, PipelineDefinition
from dagster.core.definitions.run_status_sensor_definition import (
    PipelineFailureSensorContext,
    RunFailureSensorContext,
    pipeline_failure_sensor,
    run_failure_sensor,
)


def _build_slack_blocks_and_text(
    context: RunFailureSensorContext,
    text_fn: Callable[[RunFailureSensorContext], str],
    blocks_fn: Optional[Callable[[RunFailureSensorContext], List[Dict]]],
    dagit_base_url: Optional[str],
) -> Tuple[List[Dict[str, Any]], str]:
    blocks: List[Dict[str, Any]] = [
        {
            "type": "section",
            "text": {
                "type": "mrkdwn",
                "text": f'*Job "{context.pipeline_run.pipeline_name}" failed. `{context.pipeline_run.run_id.split("-")[0]}`*',
            },
        },
    ]
    main_body_text = text_fn(context)

    if blocks_fn:
        blocks.extend(blocks_fn(context))
    else:
        blocks.append(
            {
                "type": "section",
                "text": {"type": "mrkdwn", "text": main_body_text},
            },
        )

    if dagit_base_url:
        blocks.append(
            {
                "type": "actions",
                "elements": [
                    {
                        "type": "button",
                        "text": {"type": "plain_text", "text": "View in Dagit"},
                        "url": f"{dagit_base_url}/instance/runs/{context.pipeline_run.run_id}",
                    }
                ],
            }
        )
    return blocks, main_body_text


def _default_failure_message_text_fn(context: PipelineFailureSensorContext) -> str:
    return f"Error: ```{context.failure_event.message}```"


[docs]def make_slack_on_pipeline_failure_sensor( channel: str, slack_token: str, text_fn: Callable[[PipelineFailureSensorContext], str] = _default_failure_message_text_fn, blocks_fn: Optional[Callable[[PipelineFailureSensorContext], List[Dict]]] = None, pipeline_selection: Optional[List[str]] = None, name: Optional[str] = None, dagit_base_url: Optional[str] = None, default_status: DefaultSensorStatus = DefaultSensorStatus.STOPPED, ): """Create a sensor on pipeline failures that will message the given Slack channel. Args: channel (str): The channel to send the message to (e.g. "#my_channel") slack_token (str): The slack token. Tokens are typically either user tokens or bot tokens. More in the Slack API documentation here: https://api.slack.com/docs/token-types text_fn (Optional(Callable[[PipelineFailureSensorContext], str])): Function which takes in the ``PipelineFailureSensorContext`` and outputs the message you want to send. Defaults to a text message that contains error message, pipeline name, and run ID. The usage of the `text_fn` changes depending on whether you're using `blocks_fn`. If you are using `blocks_fn`, this is used as a fallback string to display in notifications. If you aren't, this is the main body text of the message. It can be formatted as plain text, or with mrkdwn. See more details in https://api.slack.com/methods/chat.postMessage#text_usage blocks_fn (Callable[[PipelineFailureSensorContext], List[Dict]]): Function which takes in the ``PipelineFailureSensorContext`` and outputs the message blocks you want to send. See information about Blocks in https://api.slack.com/reference/block-kit/blocks pipeline_selection (Optional[List[str]]): Names of the pipelines that will be monitored by this failure sensor. Defaults to None, which means the alert will be sent when any pipeline in the repository fails. name: (Optional[str]): The name of the sensor. Defaults to "slack_on_pipeline_failure". dagit_base_url: (Optional[str]): The base url of your Dagit instance. Specify this to allow messages to include deeplinks to the failed pipeline run. default_status (DefaultSensorStatus): Whether the sensor starts as running or not. The default status can be overridden from Dagit or via the GraphQL API. Examples: .. code-block:: python slack_on_pipeline_failure = make_slack_on_pipeline_failure_sensor( "#my_channel", os.getenv("MY_SLACK_TOKEN") ) @repository def my_repo(): return [my_pipeline + slack_on_pipeline_failure] .. code-block:: python def my_message_fn(context: PipelineFailureSensorContext) -> str: return "Pipeline {pipeline_name} failed! Error: {error}".format( pipeline_name=context.pipeline_run.pipeline_name, error=context.failure_event.message, ) slack_on_pipeline_failure = make_slack_on_pipeline_failure_sensor( channel="#my_channel", slack_token=os.getenv("MY_SLACK_TOKEN"), message_fn=my_message_fn, dagit_base_url="http://mycoolsite.com", ) """ slack_client = WebClient(token=slack_token) @pipeline_failure_sensor( name=name, pipeline_selection=pipeline_selection, default_status=default_status ) def slack_on_pipeline_failure(context: PipelineFailureSensorContext): blocks, main_body_text = _build_slack_blocks_and_text( context=context, text_fn=text_fn, blocks_fn=blocks_fn, dagit_base_url=dagit_base_url ) slack_client.chat_postMessage(channel=channel, blocks=blocks, text=main_body_text) return slack_on_pipeline_failure
[docs]def make_slack_on_run_failure_sensor( channel: str, slack_token: str, text_fn: Callable[[RunFailureSensorContext], str] = _default_failure_message_text_fn, blocks_fn: Optional[Callable[[RunFailureSensorContext], List[Dict]]] = None, name: Optional[str] = None, dagit_base_url: Optional[str] = None, job_selection: Optional[List[Union[PipelineDefinition, GraphDefinition]]] = None, default_status: DefaultSensorStatus = DefaultSensorStatus.STOPPED, ): """Create a sensor on job failures that will message the given Slack channel. Args: channel (str): The channel to send the message to (e.g. "#my_channel") slack_token (str): The slack token. Tokens are typically either user tokens or bot tokens. More in the Slack API documentation here: https://api.slack.com/docs/token-types text_fn (Optional(Callable[[RunFailureSensorContext], str])): Function which takes in the ``RunFailureSensorContext`` and outputs the message you want to send. Defaults to a text message that contains error message, job name, and run ID. The usage of the `text_fn` changes depending on whether you're using `blocks_fn`. If you are using `blocks_fn`, this is used as a fallback string to display in notifications. If you aren't, this is the main body text of the message. It can be formatted as plain text, or with mrkdwn. See more details in https://api.slack.com/methods/chat.postMessage#text_usage blocks_fn (Callable[[RunFailureSensorContext], List[Dict]]): Function which takes in the ``RunFailureSensorContext`` and outputs the message blocks you want to send. See information about Blocks in https://api.slack.com/reference/block-kit/blocks name: (Optional[str]): The name of the sensor. Defaults to "slack_on_run_failure". dagit_base_url: (Optional[str]): The base url of your Dagit instance. Specify this to allow messages to include deeplinks to the failed job run. job_selection (Optional[List[Union[PipelineDefinition, GraphDefinition]]]): The jobs that will be monitored by this failure sensor. Defaults to None, which means the alert will be sent when any job in the repository fails. default_status (DefaultSensorStatus): Whether the sensor starts as running or not. The default status can be overridden from Dagit or via the GraphQL API. Examples: .. code-block:: python slack_on_run_failure = make_slack_on_run_failure_sensor( "#my_channel", os.getenv("MY_SLACK_TOKEN") ) @repository def my_repo(): return [my_job + slack_on_run_failure] .. code-block:: python def my_message_fn(context: RunFailureSensorContext) -> str: return ( f"Job {context.pipeline_run.pipeline_name} failed!" f"Error: {context.failure_event.message}" ) slack_on_run_failure = make_slack_on_run_failure_sensor( channel="#my_channel", slack_token=os.getenv("MY_SLACK_TOKEN"), message_fn=my_message_fn, dagit_base_url="http://mycoolsite.com", ) """ slack_client = WebClient(token=slack_token) @run_failure_sensor(name=name, job_selection=job_selection, default_status=default_status) def slack_on_run_failure(context: RunFailureSensorContext): blocks, main_body_text = _build_slack_blocks_and_text( context=context, text_fn=text_fn, blocks_fn=blocks_fn, dagit_base_url=dagit_base_url ) slack_client.chat_postMessage(channel=channel, blocks=blocks, text=main_body_text) return slack_on_run_failure