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* Add `PrestoToSlackOperator` Adding the funcitonality to run a single query against presto and send the result as slack message. Similar to `SnowflakeToSlackOperator`
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"amazon" | ||
], | ||
"presto": [ | ||
"google" | ||
"google", | ||
"slack" | ||
], | ||
"salesforce": [ | ||
"tableau" | ||
|
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# Licensed to the Apache Software Foundation (ASF) under one | ||
# or more contributor license agreements. See the NOTICE file | ||
# distributed with this work for additional information | ||
# regarding copyright ownership. The ASF licenses this file | ||
# to you under the Apache License, Version 2.0 (the | ||
# "License"); you may not use this file except in compliance | ||
# with the License. You may obtain a copy of the License at | ||
# | ||
# http://www.apache.org/licenses/LICENSE-2.0 | ||
# | ||
# Unless required by applicable law or agreed to in writing, | ||
# software distributed under the License is distributed on an | ||
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY | ||
# KIND, either express or implied. See the License for the | ||
# specific language governing permissions and limitations | ||
# under the License. | ||
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from typing import TYPE_CHECKING, Iterable, Mapping, Optional, Sequence, Union | ||
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from pandas import DataFrame | ||
from tabulate import tabulate | ||
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from airflow.exceptions import AirflowException | ||
from airflow.models import BaseOperator | ||
from airflow.providers.presto.hooks.presto import PrestoHook | ||
from airflow.providers.slack.hooks.slack_webhook import SlackWebhookHook | ||
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if TYPE_CHECKING: | ||
from airflow.utils.context import Context | ||
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class PrestoToSlackOperator(BaseOperator): | ||
""" | ||
Executes a single SQL statement in Presto and sends the results to Slack. The results of the query are | ||
rendered into the 'slack_message' parameter as a Pandas dataframe using a JINJA variable called '{{ | ||
results_df }}'. The 'results_df' variable name can be changed by specifying a different | ||
'results_df_name' parameter. The Tabulate library is added to the JINJA environment as a filter to | ||
allow the dataframe to be rendered nicely. For example, set 'slack_message' to {{ results_df | | ||
tabulate(tablefmt="pretty", headers="keys") }} to send the results to Slack as an ascii rendered table. | ||
.. seealso:: | ||
For more information on how to use this operator, take a look at the guide: | ||
:ref:`howto/operator:PrestoToSlackOperator` | ||
:param sql: The SQL statement to execute on Presto (templated) | ||
:param slack_message: The templated Slack message to send with the data returned from Presto. | ||
You can use the default JINJA variable {{ results_df }} to access the pandas dataframe containing the | ||
SQL results | ||
:param presto_conn_id: destination presto connection | ||
:param slack_conn_id: The connection id for Slack | ||
:param results_df_name: The name of the JINJA template's dataframe variable, default is 'results_df' | ||
:param parameters: The parameters to pass to the SQL query | ||
:param slack_token: The token to use to authenticate to Slack. If this is not provided, the | ||
'webhook_token' attribute needs to be specified in the 'Extra' JSON field against the slack_conn_id | ||
:param slack_channel: The channel to send message. Override default from Slack connection. | ||
""" | ||
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template_fields: Sequence[str] = ('sql', 'slack_message', 'slack_channel') | ||
template_ext: Sequence[str] = ('.sql', '.jinja', '.j2') | ||
template_fields_renderers = {"sql": "sql", "slack_message": "jinja"} | ||
times_rendered = 0 | ||
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def __init__( | ||
self, | ||
*, | ||
sql: str, | ||
slack_message: str, | ||
presto_conn_id: str = 'presto_default', | ||
slack_conn_id: str = 'slack_default', | ||
results_df_name: str = 'results_df', | ||
parameters: Optional[Union[Iterable, Mapping]] = None, | ||
slack_token: Optional[str] = None, | ||
slack_channel: Optional[str] = None, | ||
**kwargs, | ||
) -> None: | ||
super().__init__(**kwargs) | ||
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self.presto_conn_id = presto_conn_id | ||
self.sql = sql | ||
self.parameters = parameters | ||
self.slack_conn_id = slack_conn_id | ||
self.slack_token = slack_token | ||
self.slack_message = slack_message | ||
self.results_df_name = results_df_name | ||
self.slack_channel = slack_channel | ||
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def _get_query_results(self) -> DataFrame: | ||
presto_hook = self._get_presto_hook() | ||
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self.log.info('Running SQL query: %s', self.sql) | ||
df = presto_hook.get_pandas_df(self.sql, parameters=self.parameters) | ||
return df | ||
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def _render_and_send_slack_message(self, context, df) -> None: | ||
# Put the dataframe into the context and render the JINJA template fields | ||
context[self.results_df_name] = df | ||
self.render_template_fields(context) | ||
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slack_hook = self._get_slack_hook() | ||
self.log.info('Sending slack message: %s', self.slack_message) | ||
slack_hook.execute() | ||
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def _get_presto_hook(self) -> PrestoHook: | ||
return PrestoHook(presto_conn_id=self.presto_conn_id) | ||
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def _get_slack_hook(self) -> SlackWebhookHook: | ||
return SlackWebhookHook( | ||
http_conn_id=self.slack_conn_id, | ||
message=self.slack_message, | ||
webhook_token=self.slack_token, | ||
slack_channel=self.slack_channel, | ||
) | ||
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def render_template_fields(self, context, jinja_env=None) -> None: | ||
# If this is the first render of the template fields, exclude slack_message from rendering since | ||
# the presto results haven't been retrieved yet. | ||
if self.times_rendered == 0: | ||
fields_to_render: Iterable[str] = filter(lambda x: x != 'slack_message', self.template_fields) | ||
else: | ||
fields_to_render = self.template_fields | ||
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if not jinja_env: | ||
jinja_env = self.get_template_env() | ||
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# Add the tabulate library into the JINJA environment | ||
jinja_env.filters['tabulate'] = tabulate | ||
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self._do_render_template_fields(self, fields_to_render, context, jinja_env, set()) | ||
self.times_rendered += 1 | ||
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def execute(self, context: 'Context') -> None: | ||
if not self.sql.strip(): | ||
raise AirflowException("Expected 'sql' parameter is missing.") | ||
if not self.slack_message.strip(): | ||
raise AirflowException("Expected 'slack_message' parameter is missing.") | ||
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df = self._get_query_results() | ||
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self._render_and_send_slack_message(context, df) | ||
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self.log.debug('Finished sending Presto data to Slack') |
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38
docs/apache-airflow-providers-presto/operators/transfer/presto_to_slack.rst
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.. Licensed to the Apache Software Foundation (ASF) under one | ||
or more contributor license agreements. See the NOTICE file | ||
distributed with this work for additional information | ||
regarding copyright ownership. The ASF licenses this file | ||
to you under the Apache License, Version 2.0 (the | ||
"License"); you may not use this file except in compliance | ||
with the License. You may obtain a copy of the License at | ||
.. http://www.apache.org/licenses/LICENSE-2.0 | ||
.. Unless required by applicable law or agreed to in writing, | ||
software distributed under the License is distributed on an | ||
"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY | ||
KIND, either express or implied. See the License for the | ||
specific language governing permissions and limitations | ||
under the License. | ||
.. _howto/operator:PrestoToSlackOperator: | ||
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PrestoToSlackOperator | ||
======================== | ||
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Use the :class:`~airflow.providers.presto.transfers.presto_to_slack.presto_to_slack` to post messages to predefined Slack | ||
channels. | ||
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Using the Operator | ||
^^^^^^^^^^^^^^^^^^ | ||
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This operator will execute a custom query in Presto and publish a Slack message that can be formatted | ||
and contain the resulting dataset (e.g. ASCII formatted dataframe). | ||
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An example usage of the PrestoToSlackOperator is as follows: | ||
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.. exampleinclude:: /../../tests/system/providers/presto/example_presto_to_slack.py | ||
:language: python | ||
:dedent: 4 | ||
:start-after: [START howto_operator_presto_to_slack] | ||
:end-before: [END howto_operator_presto_to_slack] |
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# Licensed to the Apache Software Foundation (ASF) under one | ||
# or more contributor license agreements. See the NOTICE file | ||
# distributed with this work for additional information | ||
# regarding copyright ownership. The ASF licenses this file | ||
# to you under the Apache License, Version 2.0 (the | ||
# "License"); you may not use this file except in compliance | ||
# with the License. You may obtain a copy of the License at | ||
# | ||
# http://www.apache.org/licenses/LICENSE-2.0 | ||
# | ||
# Unless required by applicable law or agreed to in writing, | ||
# software distributed under the License is distributed on an | ||
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY | ||
# KIND, either express or implied. See the License for the | ||
# specific language governing permissions and limitations | ||
# under the License. | ||
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from unittest import mock | ||
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from airflow.models import DAG | ||
from airflow.providers.presto.transfers.presto_to_slack import PrestoToSlackOperator | ||
from airflow.utils import timezone | ||
from tests.test_utils.db import clear_db_runs | ||
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TEST_DAG_ID = 'presto_to_slack_unit_test' | ||
DEFAULT_DATE = timezone.datetime(2022, 1, 1) | ||
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class TestPrestoToSlackOperator: | ||
def setup_class(self): | ||
clear_db_runs() | ||
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def setup_method(self): | ||
self.example_dag = DAG('unit_test_dag_presto_to_slack', start_date=DEFAULT_DATE) | ||
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def teardown_method(self): | ||
clear_db_runs() | ||
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@staticmethod | ||
def _construct_operator(**kwargs): | ||
operator = PrestoToSlackOperator(task_id=TEST_DAG_ID, **kwargs) | ||
return operator | ||
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@mock.patch('airflow.providers.presto.transfers.presto_to_slack.PrestoHook') | ||
@mock.patch('airflow.providers.presto.transfers.presto_to_slack.SlackWebhookHook') | ||
def test_hooks_and_rendering(self, mock_slack_hook_class, mock_presto_hook_class): | ||
operator_args = { | ||
'presto_conn_id': 'presto_connection', | ||
'slack_conn_id': 'slack_connection', | ||
'sql': "sql {{ ds }}", | ||
'results_df_name': 'xxxx', | ||
'parameters': ['1', '2', '3'], | ||
'slack_message': 'message: {{ ds }}, {{ xxxx }}', | ||
'slack_token': 'test_token', | ||
'slack_channel': 'my_channel', | ||
'dag': self.example_dag, | ||
} | ||
presto_to_slack_operator = self._construct_operator(**operator_args) | ||
presto_hook = mock_presto_hook_class.return_value | ||
presto_hook.get_pandas_df.return_value = '1234' | ||
slack_webhook_hook = mock_slack_hook_class.return_value | ||
presto_to_slack_operator.run(start_date=DEFAULT_DATE, end_date=DEFAULT_DATE, ignore_ti_state=True) | ||
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mock_presto_hook_class.assert_called_once_with( | ||
presto_conn_id='presto_connection', | ||
) | ||
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presto_hook.get_pandas_df.assert_called_once_with('sql 2022-01-01', parameters=['1', '2', '3']) | ||
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mock_slack_hook_class.assert_called_once_with( | ||
http_conn_id='slack_connection', | ||
message='message: 2022-01-01, 1234', | ||
webhook_token='test_token', | ||
slack_channel='my_channel', | ||
) | ||
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slack_webhook_hook.execute.assert_called_once() |
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# | ||
# Licensed to the Apache Software Foundation (ASF) under one | ||
# or more contributor license agreements. See the NOTICE file | ||
# distributed with this work for additional information | ||
# regarding copyright ownership. The ASF licenses this file | ||
# to you under the Apache License, Version 2.0 (the | ||
# "License"); you may not use this file except in compliance | ||
# with the License. You may obtain a copy of the License at | ||
# | ||
# http://www.apache.org/licenses/LICENSE-2.0 | ||
# | ||
# Unless required by applicable law or agreed to in writing, | ||
# software distributed under the License is distributed on an | ||
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY | ||
# KIND, either express or implied. See the License for the | ||
# specific language governing permissions and limitations | ||
# under the License. | ||
""" | ||
Example DAG using PrestoToSlackOperator. | ||
""" | ||
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import os | ||
from datetime import datetime | ||
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from airflow import models | ||
from airflow.providers.presto.transfers.presto_to_slack import PrestoToSlackOperator | ||
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PRESTO_TABLE = os.environ.get("PRESTO_TABLE", "test_table") | ||
ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID") | ||
DAG_ID = "example_presto_to_slack" | ||
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with models.DAG( | ||
dag_id=DAG_ID, | ||
schedule_interval='@once', # Override to match your needs | ||
start_date=datetime(2022, 1, 1), | ||
catchup=False, | ||
tags=["example"], | ||
) as dag: | ||
# [START howto_operator_presto_to_slack] | ||
PrestoToSlackOperator( | ||
task_id="presto_to_slack", | ||
sql=f"SELECT col FROM {PRESTO_TABLE}", | ||
slack_channel="my_channel", | ||
slack_message="message: {{ ds }}, {{ results_df }}", | ||
) | ||
# [END howto_operator_presto_to_slack] | ||
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from tests.system.utils import get_test_run # noqa: E402 | ||
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# Needed to run the example DAG with pytest (see: tests/system/README.md#run_via_pytest) | ||
test_run = get_test_run(dag) |