[GitHub] [airflow] mariotaddeucci commented on a change in pull request #17887: New google operator: SQLToGoogleSheetsOperator

[GitBox <gi...@apache.org>]

mariotaddeucci commented on a change in pull request #17887:
URL: https://github.com/apache/airflow/pull/17887#discussion_r698676249



##########
File path: airflow/providers/google/suite/transfers/sql_to_sheets.py
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@@ -0,0 +1,140 @@
+# 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 decimal
+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_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 type(item) is datetime.date:
+                    item = item.strftime("%Y-%m-%d")
+                elif type(item) is datetime.datetime:
+                    item = item.strftime("%Y-%m-%d")
+                elif type(item) is decimal.Decimal:
+                    item = float(item)

Review comment:
       The dropped time was a mistake, fixed it now with your suggestion :)




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