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import warnings
from typing import Iterable, Mapping, Optional, Sequence, Union
from airflow.providers.slack.transfers.sql_to_slack import SqlToSlackOperator
[docs]class SnowflakeToSlackOperator(SqlToSlackOperator):
"""
Executes an SQL statement in Snowflake 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:SnowflakeToSlackOperator`
:param sql: The SQL statement to execute on Snowflake (templated)
:param slack_message: The templated Slack message to send with the data returned from Snowflake.
You can use the default JINJA variable {{ results_df }} to access the pandas dataframe containing the
SQL results
:param snowflake_conn_id: Reference to
:ref:`Snowflake connection id<howto/connection:snowflake>`
: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 warehouse: The Snowflake virtual warehouse to use to run the SQL query
:param database: The Snowflake database to use for the SQL query
:param schema: The schema to run the SQL against in Snowflake
:param role: The role to use when connecting to Snowflake
: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.
"""
[docs] template_fields: Sequence[str] = ('sql', 'slack_message')
[docs] template_ext: Sequence[str] = ('.sql', '.jinja', '.j2')
[docs] template_fields_renderers = {"sql": "sql", "slack_message": "jinja"}
def __init__(
self,
*,
sql: str,
slack_message: str,
snowflake_conn_id: str = 'snowflake_default',
slack_conn_id: str = 'slack_default',
results_df_name: str = 'results_df',
parameters: Optional[Union[Iterable, Mapping]] = None,
warehouse: Optional[str] = None,
database: Optional[str] = None,
schema: Optional[str] = None,
role: Optional[str] = None,
slack_token: Optional[str] = None,
**kwargs,
) -> None:
self.snowflake_conn_id = snowflake_conn_id
self.sql = sql
self.parameters = parameters
self.warehouse = warehouse
self.database = database
self.schema = schema
self.role = role
self.slack_conn_id = slack_conn_id
self.slack_token = slack_token
self.slack_message = slack_message
self.results_df_name = results_df_name
warnings.warn(
"""
SnowflakeToSlackOperator is deprecated.
Please use `airflow.providers.slack.transfers.sql_to_slack.SqlToSlackOperator`.
""",
DeprecationWarning,
stacklevel=2,
)
hook_params = {
"schema": self.schema,
"role": self.role,
"database": self.database,
"warehouse": self.warehouse,
}
cleaned_hook_params = {k: v for k, v in hook_params.items() if v is not None}
super().__init__(
sql=self.sql,
sql_conn_id=self.snowflake_conn_id,
slack_conn_id=self.slack_conn_id,
slack_webhook_token=self.slack_token,
slack_message=self.slack_message,
results_df_name=self.results_df_name,
parameters=self.parameters,
sql_hook_params=cleaned_hook_params,
**kwargs,
)
