eladkal commented on code in PR #24663:
URL: https://github.com/apache/airflow/pull/24663#discussion_r906800914


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airflow/providers/slack/transfers/sql_to_slack.py:
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@@ -0,0 +1,166 @@
+# 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.
+
+from typing import TYPE_CHECKING, Iterable, Mapping, Optional, Sequence, Union
+
+from pandas import DataFrame
+from tabulate import tabulate
+
+from airflow.exceptions import AirflowException
+from airflow.hooks.base import BaseHook
+from airflow.hooks.dbapi import DbApiHook
+from airflow.models import BaseOperator
+from airflow.providers.slack.hooks.slack_webhook import SlackWebhookHook
+
+if TYPE_CHECKING:
+    from airflow.utils.context import Context
+
+
+class SqlToSlackOperator(BaseOperator):
+    """
+    Executes an SQL statement in a given SQL connection 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:SqlToSlackOperator`
+
+    :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 sql_conn_id: Reference to
+        :ref:`Snowflake connection id<howto/connection:snowflake>`
+    :param slack_conn_id: The connection id for Slack. Mutually exclusive with 
'slack_webhook_token'
+    :param slack_webhook_token: The token to use to authenticate to Slack. If 
this is not provided, the
+        'slack_conn_id' attribute needs to be specified in the 'Extra' JSON 
field.
+         Mutually exclusive with 'slack_conn_id'.
+    :param slack_channel: The channel to send message. Override default from 
Slack connection.
+    :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
+    """
+
+    template_fields: Sequence[str] = ('sql', 'slack_message')
+    template_ext: Sequence[str] = ('.sql', '.jinja', '.j2')
+    template_fields_renderers = {"sql": "sql", "slack_message": "jinja"}
+    times_rendered = 0
+
+    def __init__(
+        self,
+        *,
+        sql: str,
+        sql_conn_id: str,
+        slack_conn_id: Optional[str] = None,
+        slack_webhook_token: Optional[str] = None,
+        slack_channel: Optional[str] = None,
+        slack_message: str,
+        results_df_name: str = 'results_df',
+        parameters: Optional[Union[Iterable, Mapping]] = None,
+        **kwargs,

Review Comment:
   If I'm reading this right you are mixing between kwargs for BaseOperator and 
also kwargs for the underlying hook (SowflakeHook, PrestoHook, etc..) I don't 
think this is right.
   We should have a dedicated dict to pass the hook params
   similar to what we have in `SqlSensor`
   
   
https://github.com/apache/airflow/blob/37ab8fc76b4d977914ed54fc392b14cdb478d9d1/airflow/sensors/sql.py#L67-L68
   
   To give specific example:
   ```
   SqlToSlackOperator(
       ...,
       retries=3,
       hook_params= {"warehouse": "my_warehouse"}
   )
   ```
    
   Did I miss something?
   



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