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from __future__ import annotations
import datetime
import logging
import numbers
from contextlib import closing
from typing import Any, Iterable, Mapping, Sequence
from airflow.providers.common.sql.operators.sql import BaseSQLOperator
from airflow.providers.google.suite.hooks.sheets import GSheetsHook
[docs]class SQLToGoogleSheetsOperator(BaseSQLOperator):
"""
Copy data from SQL results to provided Google Spreadsheet.
:param sql: The SQL to execute.
:param spreadsheet_id: The Google Sheet ID to interact with.
:param conn_id: the connection ID used to connect to the database.
:param parameters: The parameters to render the SQL query with.
:param database: name of database which overwrite the defined one in connection
:param spreadsheet_range: The A1 notation of the values to retrieve.
:param gcp_conn_id: The connection ID to use when fetching connection info.
: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.
: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).
"""
[docs] template_fields: Sequence[str] = (
"sql",
"spreadsheet_id",
"spreadsheet_range",
"impersonation_chain",
)
[docs] template_fields_renderers = {"sql": "sql"}
[docs] template_ext: Sequence[str] = (".sql",)
def __init__(
self,
*,
sql: str,
spreadsheet_id: str,
sql_conn_id: str,
parameters: Iterable | Mapping[str, Any] | None = None,
database: str | None = None,
spreadsheet_range: str = "Sheet1",
gcp_conn_id: str = "google_cloud_default",
delegate_to: str | None = None,
impersonation_chain: str | Sequence[str] | None = 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())
[docs] 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,
)
if self.log.isEnabledFor(logging.INFO):
url = f"https://docs.google.com/spreadsheets/d/{self.spreadsheet_id}"
self.log.info("Uploading data to %s", url)
sheet_hook.update_values(
spreadsheet_id=self.spreadsheet_id,
range_=self.spreadsheet_range,
values=values,
)