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New google operator: SQLToGoogleSheetsOperator (#17887)
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mariotaddeucci authored Sep 1, 2021
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4 changes: 4 additions & 0 deletions airflow/providers/google/provider.yaml
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Expand Up @@ -719,6 +719,10 @@ transfers:
target-integration-name: Google Spreadsheet
how-to-guide: /docs/apache-airflow-providers-google/operators/transfer/gcs_to_sheets.rst
python-module: airflow.providers.google.suite.transfers.gcs_to_sheets
- source-integration-name: SQL
target-integration-name: Google Spreadsheet
how-to-guide: /docs/apache-airflow-providers-google/operators/transfer/sql_to_sheets.rst
python-module: airflow.providers.google.suite.transfers.sql_to_sheets
- source-integration-name: Local
target-integration-name: Google Cloud Storage (GCS)
how-to-guide: /docs/apache-airflow-providers-google/operators/transfer/local_to_gcs.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.

from airflow import models
from airflow.providers.google.suite.transfers.sql_to_sheets import SQLToGoogleSheetsOperator
from airflow.utils.dates import days_ago

SQL = "select 1 as my_col"
NEW_SPREADSHEET_ID = "123"

with models.DAG(
"example_sql_to_sheets",
start_date=days_ago(1),
schedule_interval=None, # Override to match your needs
tags=["example"],
) as dag:

# [START upload_sql_to_sheets]
upload_gcs_to_sheet = SQLToGoogleSheetsOperator(
task_id="upload_sql_to_sheet",
sql=SQL,
sql_conn_id="database_conn_id",
spreadsheet_id=NEW_SPREADSHEET_ID,
)
# [END upload_sql_to_sheets]
138 changes: 138 additions & 0 deletions airflow/providers/google/suite/transfers/sql_to_sheets.py
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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.


import datetime
import numbers
from contextlib import closing
from typing import Any, Iterable, Mapping, Optional, Sequence, Union

from airflow.operators.sql import BaseSQLOperator
from airflow.providers.google.suite.hooks.sheets import GSheetsHook


class SQLToGoogleSheetsOperator(BaseSQLOperator):
"""
Copy data from SQL results to provided Google Spreadsheet.
:param sql: The SQL to execute.
:type sql: str
:param spreadsheet_id: The Google Sheet ID to interact with.
:type spreadsheet_id: str
:param conn_id: the connection ID used to connect to the database.
:type sql_conn_id: str
:param parameters: The parameters to render the SQL query with.
:type parameters: dict or iterable
:param database: name of database which overwrite the defined one in connection
:type database: str
:param spreadsheet_range: The A1 notation of the values to retrieve.
:type spreadsheet_range: str
:param gcp_conn_id: The connection ID to use when fetching connection info.
:type gcp_conn_id: str
:param delegate_to: The account to impersonate using domain-wide delegation of authority,
if any. For this to work, the service account making the request must have
domain-wide delegation enabled.
:type delegate_to: str
:param impersonation_chain: Optional service account to impersonate using short-term
credentials, or chained list of accounts required to get the access_token
of the last account in the list, which will be impersonated in the request.
If set as a string, the account must grant the originating account
the Service Account Token Creator IAM role.
If set as a sequence, the identities from the list must grant
Service Account Token Creator IAM role to the directly preceding identity, with first
account from the list granting this role to the originating account (templated).
:type impersonation_chain: Union[str, Sequence[str]]
"""

template_fields = (
"sql",
"spreadsheet_id",
"spreadsheet_range",
"impersonation_chain",
)

template_fields_renderers = {"sql": "sql"}
template_ext = (".sql",)

ui_color = "#a0e08c"

def __init__(
self,
*,
sql: str,
spreadsheet_id: str,
sql_conn_id: str,
parameters: Optional[Union[Mapping, Iterable]] = None,
database: str = None,
spreadsheet_range: str = "Sheet1",
gcp_conn_id: str = "google_cloud_default",
delegate_to: Optional[str] = None,
impersonation_chain: Optional[Union[str, Sequence[str]]] = None,
**kwargs,
) -> None:
super().__init__(**kwargs)

self.sql = sql
self.conn_id = sql_conn_id
self.database = database
self.parameters = parameters
self.gcp_conn_id = gcp_conn_id
self.spreadsheet_id = spreadsheet_id
self.spreadsheet_range = spreadsheet_range
self.delegate_to = delegate_to
self.impersonation_chain = impersonation_chain

def _data_prep(self, data):
for row in data:
item_list = []
for item in row:
if isinstance(item, (datetime.date, datetime.datetime)):
item = item.isoformat()
elif isinstance(item, int): # To exclude int from the number check.
pass
elif isinstance(item, numbers.Number):
item = float(item)
item_list.append(item)
yield item_list

def _get_data(self):
hook = self.get_db_hook()
with closing(hook.get_conn()) as conn, closing(conn.cursor()) as cur:
self.log.info("Executing query")
cur.execute(self.sql, self.parameters or ())

yield [field[0] for field in cur.description]
yield from self._data_prep(cur.fetchall())

def execute(self, context: Any) -> None:
self.log.info("Getting data")
values = list(self._get_data())

self.log.info("Connecting to Google")
sheet_hook = GSheetsHook(
gcp_conn_id=self.gcp_conn_id,
delegate_to=self.delegate_to,
impersonation_chain=self.impersonation_chain,
)

self.log.info(f"Uploading data to https://docs.google.com/spreadsheets/d/{self.spreadsheet_id}")

sheet_hook.update_values(
spreadsheet_id=self.spreadsheet_id,
range_=self.spreadsheet_range,
values=values,
)
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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.
SQL to Google Sheets Transfer Operators
========================================================

With `Google Sheets <https://www.google.pl/intl/en/sheets/about/>`__, everyone can work together in the same
spreadsheet at the same time. Use formulas functions, and formatting options to save time and simplify
common spreadsheet tasks.

.. contents::
:depth: 1
:local:

Prerequisite Tasks
^^^^^^^^^^^^^^^^^^

.. include::/operators/_partials/prerequisite_tasks.rst
.. _howto/operator:SQLToGoogleSheets:

Upload data from SQL to Google Sheets
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

To upload data from and Database using SQL to Google Spreadsheet you can use the
:class:`~airflow.providers.google.suite.transfers.sql_to_sheets.SQLToGoogleSheetsOperator`.

.. exampleinclude:: /../../airflow/providers/google/suite/example_dags/example_sql_to_sheets.py
:language: python
:dedent: 4
:start-after: [START upload_sql_to_sheets]
:end-before: [END upload_sql_to_sheets]

You can use :ref:`Jinja templating <concepts:jinja-templating>` with
:template-fields:`airflow.providers.google.suite.transfers.sql_to_sheets.SQLToGoogleSheetsOperator`.
65 changes: 65 additions & 0 deletions tests/providers/google/suite/transfers/test_sql_to_sheets.py
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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.

import unittest
from unittest.mock import Mock, patch

from airflow.providers.google.suite.transfers.sql_to_sheets import SQLToGoogleSheetsOperator


class TestSQLToGoogleSheets(unittest.TestCase):
"""
Test class for SQLToGoogleSheetsOperator
"""

def setUp(self):
"""
setup
"""

self.gcp_conn_id = "test"
self.sql_conn_id = "test"
self.sql = "select 1 as my_col"
self.spreadsheet_id = "1234567890"
self.values = [[1, 2, 3]]

@patch("airflow.providers.google.suite.transfers.sql_to_sheets.GSheetsHook")
def test_execute(self, mock_sheet_hook):

op = SQLToGoogleSheetsOperator(
task_id="test_task",
spreadsheet_id=self.spreadsheet_id,
gcp_conn_id=self.gcp_conn_id,
sql_conn_id=self.sql_conn_id,
sql=self.sql,
)

op._get_data = Mock(return_value=self.values)

op.execute(None)

mock_sheet_hook.assert_called_once_with(
gcp_conn_id=self.gcp_conn_id,
delegate_to=None,
impersonation_chain=None,
)

mock_sheet_hook.return_value.update_values.assert_called_once_with(
spreadsheet_id=self.spreadsheet_id,
range_="Sheet1",
values=self.values,
)

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