From 89643ba6fa98db82efd3246805ef801a8bfb5c81 Mon Sep 17 00:00:00 2001 From: Jeff Huth Date: Wed, 13 Nov 2019 17:03:56 -0800 Subject: Initial commit Discovery mode works. Still working on normal sync. --- .gitignore | 22 + CHANGELOG.md | 4 + LICENSE | 661 +++++++++++++++++++++ MANIFEST.in | 2 + README.md | 173 +++++- config.json.example | 8 + setup.py | 25 + state.json.example | 6 + tap_google_sheets/__init__.py | 57 ++ tap_google_sheets/client.py | 247 ++++++++ tap_google_sheets/discover.py | 26 + tap_google_sheets/schema.py | 228 +++++++ tap_google_sheets/schemas/file_metadata.json | 44 ++ tap_google_sheets/schemas/sheet_metadata.json | 89 +++ tap_google_sheets/schemas/sheets_loaded.json | 22 + .../schemas/spreadsheet_metadata.json | 30 + tap_google_sheets/streams.py | 66 ++ tap_google_sheets/sync.py | 281 +++++++++ 18 files changed, 1990 insertions(+), 1 deletion(-) create mode 100644 .gitignore create mode 100644 CHANGELOG.md create mode 100644 LICENSE create mode 100644 MANIFEST.in create mode 100644 config.json.example create mode 100644 setup.py create mode 100644 state.json.example create mode 100644 tap_google_sheets/__init__.py create mode 100644 tap_google_sheets/client.py create mode 100644 tap_google_sheets/discover.py create mode 100644 tap_google_sheets/schema.py create mode 100644 tap_google_sheets/schemas/file_metadata.json create mode 100644 tap_google_sheets/schemas/sheet_metadata.json create mode 100644 tap_google_sheets/schemas/sheets_loaded.json create mode 100644 tap_google_sheets/schemas/spreadsheet_metadata.json create mode 100644 tap_google_sheets/streams.py create mode 100644 tap_google_sheets/sync.py diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..d9633da --- /dev/null +++ b/.gitignore @@ -0,0 +1,22 @@ +/.vscode/* +/.ipynb_checkpoints/* +config/ +virtualenvs/ +*catalog*.json +*config*.json +*state*.json +target*.json +*.sublime-* +.python-version +singer-check-tap-data +*.pyc +*.egg-info +dist/ +__pycache__/ +venv/ +build/ +tap_google_sheets/.vscode/settings.json +*.ipynb +.DS_Store +test_configuration.py +tap_target_commands.sh diff --git a/CHANGELOG.md b/CHANGELOG.md new file mode 100644 index 0000000..d58f396 --- /dev/null +++ b/CHANGELOG.md @@ -0,0 +1,4 @@ +# Changelog + +## 0.0.1 + * Initial commit diff --git a/LICENSE b/LICENSE new file mode 100644 index 0000000..0ad25db --- /dev/null +++ b/LICENSE @@ -0,0 +1,661 @@ + GNU AFFERO GENERAL PUBLIC LICENSE + Version 3, 19 November 2007 + + Copyright (C) 2007 Free Software Foundation, Inc. + Everyone is permitted to copy and distribute verbatim copies + of this license document, but changing it is not allowed. + + Preamble + + The GNU Affero General Public License is a free, copyleft license for +software and other kinds of works, specifically designed to ensure +cooperation with the community in the case of network server software. + + The licenses for most software and other practical works are designed +to take away your freedom to share and change the works. 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It is safest +to attach them to the start of each source file to most effectively +state the exclusion of warranty; and each file should have at least +the "copyright" line and a pointer to where the full notice is found. + + + Copyright (C) + + This program is free software: you can redistribute it and/or modify + it under the terms of the GNU Affero General Public License as published + by the Free Software Foundation, either version 3 of the License, or + (at your option) any later version. + + This program is distributed in the hope that it will be useful, + but WITHOUT ANY WARRANTY; without even the implied warranty of + MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + GNU Affero General Public License for more details. + + You should have received a copy of the GNU Affero General Public License + along with this program. If not, see . + +Also add information on how to contact you by electronic and paper mail. + + If your software can interact with users remotely through a computer +network, you should also make sure that it provides a way for users to +get its source. For example, if your program is a web application, its +interface could display a "Source" link that leads users to an archive +of the code. There are many ways you could offer source, and different +solutions will be better for different programs; see section 13 for the +specific requirements. + + You should also get your employer (if you work as a programmer) or school, +if any, to sign a "copyright disclaimer" for the program, if necessary. +For more information on this, and how to apply and follow the GNU AGPL, see +. diff --git a/MANIFEST.in b/MANIFEST.in new file mode 100644 index 0000000..32a5d00 --- /dev/null +++ b/MANIFEST.in @@ -0,0 +1,2 @@ +include LICENSE +include tap_google_sheets/schemas/*.json diff --git a/README.md b/README.md index db00e68..6fcb0b9 100644 --- a/README.md +++ b/README.md @@ -1 +1,172 @@ -tap-google-sheets +# tap-google-sheets + +This is a [Singer](https://singer.io) tap that produces JSON-formatted data +following the [Singer +spec](https://github.com/singer-io/getting-started/blob/master/SPEC.md). + +This tap: + +- Pulls raw data from the [Google Sheets v4 API](https://developers.google.com/sheets/api) +- Extracts the following endpoints: + - [Spreadsheet File](https://developers.google.com/drive/api/v3/reference/files/get) + - [Spreadsheet Metadata, Sheets, Headers](https://developers.google.com/sheets/api/reference/rest/v4/spreadsheets/get) + - [Spreadsheet Values](https://developers.google.com/sheets/api/reference/rest/v4/spreadsheets.values/get) +- For each Sheet: + - Outputs the schema for each resource (based on the column header and datatypes of first row of data) + - Outputs a record for all columns with column headers, and for each row of data until it reaches an empty row + +## API Endpoints +[**file (GET)**](https://developers.google.com/drive/api/v3/reference/files/get) +- Endpoint: https://www.googleapis.com/drive/v3/files/${spreadsheet_id}?fields=id,name,createdTime,modifiedTime,version +- Primary keys: id +- Replication strategy: Full (GET file audit data for spreadsheet_id in config) +- Process/Transformations: Replicate Data if Modified + +[**metadata (GET)**](https://developers.google.com/drive/api/v3/reference/files/get) +- Endpoint: https://sheets.googleapis.com/v4/spreadsheets/${spreadsheet_id}?includeGridData=true&ranges=1:2 +- This endpoint eturns spreadsheet metadata, sheet metadata, and value metadata (data type information) +- Primary keys: spreadsheetId, title, field_name +- Foreign keys: None +- Replication strategy: Full (get and replace file metadata for spreadshee_id in config) +- Process/Transformations: + - Verify Sheets: Check sheets exist (compared to catalog) and check gridProperties (available area) + - sheetId, title, index, gridProperties (rowCount, columnCount) + - Verify Field Headers (1st row): Check field headers exist (compared to catalog), missing headers (columns to skip), column order/position, and column uniqueness + - Header's field_name, position: data.rowData[0].values[i].formattedValue + - Create/Verify Datatypes (2nd row): + - Row 2's datatype, format: data.rowData[1].values[i] + - First check: + - [effectiveValue: key](https://developers.google.com/sheets/api/reference/rest/v4/spreadsheets/other#ExtendedValue) + - Valid types: numberValue, stringValue, boolValue + - Invalid types: formulaValue, errorValue + - Then check: + - [effectiveFormat.numberFormat.type](https://developers.google.com/sheets/api/reference/rest/v4/spreadsheets/cells#NumberFormatType) + - Valid types: UNEPECIFIED, TEXT, NUMBER, PERCENT, CURRENCY, DATE, TIME, DATE_TIME, SCIENTIFIC + - If DATE or DATE_TIME, set JSON schema datatype = string and format = date-time + - [effectiveFormat.numberFormat.pattern](https://developers.google.com/sheets/api/reference/rest/v4/spreadsheets/cells#NumberFormat) + +[**values (GET)**](https://developers.google.com/sheets/api/reference/rest/v4/spreadsheets.values/get) +- Endpoint: https://sheets.googleapis.com/v4/spreadsheets/${spreadsheet_id}/values/'${sheet_name}'!${row_range}?dateTimeRenderOption=SERIAL_NUMBER&valueRenderOption=UNFORMATTED_VALUE&majorDimension=ROWS +- This endpoint loops through sheets and row ranges to get the [unformatted values](https://developers.google.com/sheets/api/reference/rest/v4/ValueRenderOption) (effective values only), dates and datetimes as [serial numbers](https://developers.google.com/sheets/api/reference/rest/v4/DateTimeRenderOption) +- Primary keys: row +- Replication strategy: Full (GET file audit data for spreadsheet_id in config) +- Process/Transformations: + - Loop through sheets (compared to catalog selection) + - Send metadata for sheet + - Loop through ranges of rows until reaching empty row or area max row (from sheet metadata) + - Transform values, if necessary (dates, date-times, boolean, integer, numers) + - Process/send records + +## Authentication +The [**Google Sheets Setup & Authentication**](https://drive.google.com/open?id=1FojlvtLwS0-BzGS37R0jEXtwSHqSiO1Uw-7RKQQO-C4) Google Doc provides instructions show how to configure the Google Cloud API credentials to enable Google Drive and Google Sheets APIs, configure Google Cloud to authorize/verify your domain ownership, generate an API key (client_id, client_secret), authenticate and generate a refresh_token, and prepare your tap config.json with the necessary parameters. +- Enable Googe Drive APIs and Authorization Scope: https://www.googleapis.com/auth/drive.metadata.readonly +- Enable Google Sheets API and Authorization Scope: https://www.googleapis.com/auth/spreadsheets.readonly +- Tap config.json parameters: + - client_id: identifies your application + - client_secret: authenticates your application + - refresh_token: generates an access token to authorize your session + - spreadsheet_id: unique identifier for each spreadsheet in Google Drive + - start_date: absolute minimum start date to check file modified + - user_agent: tap-name and email address; identifies your application in the Remote API server logs + +## Quick Start + +1. Install + + Clone this repository, and then install using setup.py. We recommend using a virtualenv: + + ```bash + > virtualenv -p python3 venv + > source venv/bin/activate + > python setup.py install + OR + > cd .../tap-google-sheets + > pip install . + ``` +2. Dependent libraries + The following dependent libraries were installed. + ```bash + > pip install target-json + > pip install target-stitch + > pip install singer-tools + > pip install singer-python + ``` + - [singer-tools](https://github.com/singer-io/singer-tools) + - [target-stitch](https://github.com/singer-io/target-stitch) + +3. Create your tap's `config.json` file. Include the client_id, client_secret, refresh_token, site_urls (website URL properties in a comma delimited list; do not include the domain-level property in the list), start_date (UTC format), and user_agent (tap name with the api user email address). + + ```json + { + "client_id": "YOUR_CLIENT_ID", + "client_secret": "YOUR_CLIENT_SECRET", + "refresh_token": "YOUR_REFRESH_TOKEN", + "spreadsheet_id": "YOUR_GOOGLE_SPREADSHEET_ID", + "start_date": "2019-01-01T00:00:00Z", + "user_agent": "tap-google-sheets " + } + ``` + + Optionally, also create a `state.json` file. `currently_syncing` is an optional attribute used for identifying the last object to be synced in case the job is interrupted mid-stream. The next run would begin where the last job left off. + Only the `performance_reports` uses a bookmark. The date-time bookmark is stored in a nested structure based on the endpoint, site, and sub_type. + + ```json + { + "currently_syncing": "file_metadata", + "bookmarks": { + "file_metadata": "2019-09-27T22:34:39.000000Z", + "sheets_loaded": "2019-09-27T21:55:42.000000Z" + } + } + ``` + +4. Run the Tap in Discovery Mode + This creates a catalog.json for selecting objects/fields to integrate: + ```bash + tap-google-sheets --config config.json --discover > catalog.json + ``` + See the Singer docs on discovery mode + [here](https://github.com/singer-io/getting-started/blob/master/docs/DISCOVERY_MODE.md#discovery-mode). + +5. Run the Tap in Sync Mode (with catalog) and [write out to state file](https://github.com/singer-io/getting-started/blob/master/docs/RUNNING_AND_DEVELOPING.md#running-a-singer-tap-with-a-singer-target) + + For Sync mode: + ```bash + > tap-google-sheets --config tap_config.json --catalog catalog.json > state.json + > tail -1 state.json > state.json.tmp && mv state.json.tmp state.json + ``` + To load to json files to verify outputs: + ```bash + > tap-google-sheets --config tap_config.json --catalog catalog.json | target-json > state.json + > tail -1 state.json > state.json.tmp && mv state.json.tmp state.json + ``` + To pseudo-load to [Stitch Import API](https://github.com/singer-io/target-stitch) with dry run: + ```bash + > tap-google-sheets --config tap_config.json --catalog catalog.json | target-stitch --config target_config.json --dry-run > state.json + > tail -1 state.json > state.json.tmp && mv state.json.tmp state.json + ``` + +6. Test the Tap + + While developing the Google Search Console tap, the following utilities were run in accordance with Singer.io best practices: + Pylint to improve [code quality](https://github.com/singer-io/getting-started/blob/master/docs/BEST_PRACTICES.md#code-quality): + ```bash + > pylint tap_google_sheets -d missing-docstring -d logging-format-interpolation -d too-many-locals -d too-many-arguments + ``` + Pylint test resulted in the following score: + ```bash + TBD + ``` + + To [check the tap](https://github.com/singer-io/singer-tools#singer-check-tap) and verify working: + ```bash + > tap-google-sheets --config tap_config.json --catalog catalog.json | singer-check-tap > state.json + > tail -1 state.json > state.json.tmp && mv state.json.tmp state.json + ``` + Check tap resulted in the following: + ```bash + TBD + ``` +--- + +Copyright © 2019 Stitch diff --git a/config.json.example b/config.json.example new file mode 100644 index 0000000..159aafb --- /dev/null +++ b/config.json.example @@ -0,0 +1,8 @@ +{ + "client_id": "YOUR_CLIENT_ID", + "client_secret": "YOUR_CLIENT_SECRET", + "refresh_token": "YOUR_REFRESH_TOKEN", + "spreadsheet_id": "YOUR_GOOGLE_SPREADSHEET_ID", + "start_date": "2019-01-01T00:00:00Z", + "user_agent": "tap-google-search-console " +} diff --git a/setup.py b/setup.py new file mode 100644 index 0000000..e3c4f3e --- /dev/null +++ b/setup.py @@ -0,0 +1,25 @@ +#!/usr/bin/env python + +from setuptools import setup, find_packages + +setup(name='tap-google-sheets', + version='0.0.1', + description='Singer.io tap for extracting data from the Google Sheets v4 API', + author='jeff.huth@bytecode.io', + classifiers=['Programming Language :: Python :: 3 :: Only'], + py_modules=['tap_google_sheets'], + install_requires=[ + 'backoff==1.8.0', + 'requests==2.22.0', + 'singer-python==5.8.1' + ], + entry_points=''' + [console_scripts] + tap-google-sheets=tap_google_sheets:main + ''', + packages=find_packages(), + package_data={ + 'tap_google_sheets': [ + 'schemas/*.json' + ] + }) diff --git a/state.json.example b/state.json.example new file mode 100644 index 0000000..c33cc8f --- /dev/null +++ b/state.json.example @@ -0,0 +1,6 @@ +{ + "currently_syncing": "spreadsheets", + "bookmarks": { + "file": "2019-09-27T22:34:39.000000Z" + } +} diff --git a/tap_google_sheets/__init__.py b/tap_google_sheets/__init__.py new file mode 100644 index 0000000..f97d4b8 --- /dev/null +++ b/tap_google_sheets/__init__.py @@ -0,0 +1,57 @@ +#!/usr/bin/env python3 + +import sys +import json +import argparse +import singer +from singer import metadata, utils +from tap_google_sheets.client import GoogleClient +from tap_google_sheets.discover import discover +from tap_google_sheets.sync import sync + +LOGGER = singer.get_logger() + +REQUIRED_CONFIG_KEYS = [ + 'client_id', + 'client_secret', + 'refresh_token', + 'spreadsheet_id', + 'start_date', + 'user_agent' +] + +def do_discover(client, spreadsheet_id): + + LOGGER.info('Starting discover') + catalog = discover(client, spreadsheet_id) + json.dump(catalog.to_dict(), sys.stdout, indent=2) + LOGGER.info('Finished discover') + + +@singer.utils.handle_top_exception(LOGGER) +def main(): + + parsed_args = singer.utils.parse_args(REQUIRED_CONFIG_KEYS) + + with GoogleClient(parsed_args.config['client_id'], + parsed_args.config['client_secret'], + parsed_args.config['refresh_token'], + parsed_args.config['user_agent']) as client: + + state = {} + if parsed_args.state: + state = parsed_args.state + + config = parsed_args.config + spreadsheet_id = config.get('spreadsheet_id') + + if parsed_args.discover: + do_discover(client, spreadsheet_id) + elif parsed_args.catalog: + sync(client=client, + config=config, + catalog=parsed_args.catalog, + state=state) + +if __name__ == '__main__': + main() diff --git a/tap_google_sheets/client.py b/tap_google_sheets/client.py new file mode 100644 index 0000000..12f0811 --- /dev/null +++ b/tap_google_sheets/client.py @@ -0,0 +1,247 @@ +from datetime import datetime, timedelta +import backoff +import requests +from collections import OrderedDict + +import singer +from singer import metrics +from singer import utils + +BASE_URL = 'https://www.googleapis.com' +GOOGLE_TOKEN_URI = 'https://oauth2.googleapis.com/token' +LOGGER = singer.get_logger() + + +class Server5xxError(Exception): + pass + + +class Server429Error(Exception): + pass + + +class GoogleError(Exception): + pass + + +class GoogleBadRequestError(GoogleError): + pass + + +class GoogleUnauthorizedError(GoogleError): + pass + + +class GooglePaymentRequiredError(GoogleError): + pass + + +class GoogleNotFoundError(GoogleError): + pass + + +class GoogleMethodNotAllowedError(GoogleError): + pass + + +class GoogleConflictError(GoogleError): + pass + + +class GoogleGoneError(GoogleError): + pass + + +class GooglePreconditionFailedError(GoogleError): + pass + + +class GoogleRequestEntityTooLargeError(GoogleError): + pass + + +class GoogleRequestedRangeNotSatisfiableError(GoogleError): + pass + + +class GoogleExpectationFailedError(GoogleError): + pass + + +class GoogleForbiddenError(GoogleError): + pass + + +class GoogleUnprocessableEntityError(GoogleError): + pass + + +class GooglePreconditionRequiredError(GoogleError): + pass + + +class GoogleInternalServiceError(GoogleError): + pass + + +# Error Codes: https://developers.google.com/webmaster-tools/search-console-api-original/v3/errors +ERROR_CODE_EXCEPTION_MAPPING = { + 400: GoogleBadRequestError, + 401: GoogleUnauthorizedError, + 402: GooglePaymentRequiredError, + 403: GoogleForbiddenError, + 404: GoogleNotFoundError, + 405: GoogleMethodNotAllowedError, + 409: GoogleConflictError, + 410: GoogleGoneError, + 412: GooglePreconditionFailedError, + 413: GoogleRequestEntityTooLargeError, + 416: GoogleRequestedRangeNotSatisfiableError, + 417: GoogleExpectationFailedError, + 422: GoogleUnprocessableEntityError, + 428: GooglePreconditionRequiredError, + 500: GoogleInternalServiceError} + + +def get_exception_for_error_code(error_code): + return ERROR_CODE_EXCEPTION_MAPPING.get(error_code, GoogleError) + +def raise_for_error(response): + try: + response.raise_for_status() + except (requests.HTTPError, requests.ConnectionError) as error: + try: + content_length = len(response.content) + if content_length == 0: + # There is nothing we can do here since Google has neither sent + # us a 2xx response nor a response content. + return + response = response.json() + if ('error' in response) or ('errorCode' in response): + message = '%s: %s' % (response.get('error', str(error)), + response.get('message', 'Unknown Error')) + error_code = response.get('error', {}).get('code') + ex = get_exception_for_error_code(error_code) + raise ex(message) + else: + raise GoogleError(error) + except (ValueError, TypeError): + raise GoogleError(error) + +class GoogleClient: # pylint: disable=too-many-instance-attributes + def __init__(self, + client_id, + client_secret, + refresh_token, + user_agent=None): + self.__client_id = client_id + self.__client_secret = client_secret + self.__refresh_token = refresh_token + self.__user_agent = user_agent + self.__access_token = None + self.__expires = None + self.__session = requests.Session() + self.base_url = None + + + def __enter__(self): + self.get_access_token() + return self + + def __exit__(self, exception_type, exception_value, traceback): + self.__session.close() + + @backoff.on_exception(backoff.expo, + Server5xxError, + max_tries=5, + factor=2) + def get_access_token(self): + # The refresh_token never expires and may be used many times to generate each access_token + # Since the refresh_token does not expire, it is not included in get access_token response + if self.__access_token is not None and self.__expires > datetime.utcnow(): + return + + headers = {} + if self.__user_agent: + headers['User-Agent'] = self.__user_agent + + response = self.__session.post( + url=GOOGLE_TOKEN_URI, + headers=headers, + data={ + 'grant_type': 'refresh_token', + 'client_id': self.__client_id, + 'client_secret': self.__client_secret, + 'refresh_token': self.__refresh_token, + }) + + if response.status_code >= 500: + raise Server5xxError() + + if response.status_code != 200: + raise_for_error(response) + + data = response.json() + self.__access_token = data['access_token'] + self.__expires = datetime.utcnow() + timedelta(seconds=data['expires_in']) + LOGGER.info('Authorized, token expires = {}'.format(self.__expires)) + + + @backoff.on_exception(backoff.expo, + (Server5xxError, ConnectionError, Server429Error), + max_tries=7, + factor=3) + # Rate Limit: + # https://developers.google.com/webmaster-tools/search-console-api-original/v3/limits + @utils.ratelimit(1200, 60) + def request(self, method, path=None, url=None, api=None, **kwargs): + + self.get_access_token() + + self.base_url = 'https://sheets.googleapis.com/v4' + if api == 'files': + self.base_url = 'https://www.googleapis.com/drive/v3' + + if not url and path: + url = '{}/{}'.format(self.base_url, path) + + # endpoint = stream_name (from sync.py API call) + if 'endpoint' in kwargs: + endpoint = kwargs['endpoint'] + del kwargs['endpoint'] + else: + endpoint = None + + if 'headers' not in kwargs: + kwargs['headers'] = {} + kwargs['headers']['Authorization'] = 'Bearer {}'.format(self.__access_token) + + if self.__user_agent: + kwargs['headers']['User-Agent'] = self.__user_agent + + if method == 'POST': + kwargs['headers']['Content-Type'] = 'application/json' + + with metrics.http_request_timer(endpoint) as timer: + response = self.__session.request(method, url, **kwargs) + timer.tags[metrics.Tag.http_status_code] = response.status_code + + if response.status_code >= 500: + raise Server5xxError() + + #Use retry functionality in backoff to wait and retry if + #response code equals 429 because rate limit has been exceeded + if response.status_code == 429: + raise Server429Error() + + if response.status_code != 200: + raise_for_error(response) + + # Ensure keys and rows are ordered as received from API + return response.json(object_pairs_hook=OrderedDict) + + def get(self, path, api, **kwargs): + return self.request(method='GET', path=path, api=api, **kwargs) + + def post(self, path, api, **kwargs): + return self.request(method='POST', path=path, api=api, **kwargs) diff --git a/tap_google_sheets/discover.py b/tap_google_sheets/discover.py new file mode 100644 index 0000000..6477a5f --- /dev/null +++ b/tap_google_sheets/discover.py @@ -0,0 +1,26 @@ +from singer.catalog import Catalog, CatalogEntry, Schema +from tap_google_sheets.schema import get_schemas, STREAMS + + +def discover(client, spreadsheet_id): + schemas, field_metadata = get_schemas(client, spreadsheet_id) + catalog = Catalog([]) + + for stream_name, schema_dict in schemas.items(): + schema = Schema.from_dict(schema_dict) + mdata = field_metadata[stream_name] + key_properties = None + for md in mdata: + table_key_properties = md.get('metadata', {}).get('table-key-properties') + if table_key_properties: + key_properties = table_key_properties + + catalog.streams.append(CatalogEntry( + stream=stream_name, + tap_stream_id=stream_name, + key_properties=STREAMS.get(stream_name, {}).get('key_properties', key_properties), + schema=schema, + metadata=mdata + )) + + return catalog diff --git a/tap_google_sheets/schema.py b/tap_google_sheets/schema.py new file mode 100644 index 0000000..237ab06 --- /dev/null +++ b/tap_google_sheets/schema.py @@ -0,0 +1,228 @@ +import os +import json +from collections import OrderedDict +import singer +from singer import metadata +from tap_google_sheets.streams import STREAMS + +LOGGER = singer.get_logger() + +# Reference: +# https://github.com/singer-io/getting-started/blob/master/docs/DISCOVERY_MODE.md#Metadata + +# Convert column index to column letter +def colnum_string(n): + string = "" + while n > 0: + n, remainder = divmod(n - 1, 26) + string = chr(65 + remainder) + string + return string + + +# Create sheet_metadata_json with columns from sheet +def get_sheet_schema_columns(sheet, spreadsheet_id, client): + sheet_json_schema = OrderedDict() + data = next(iter(sheet.get('data', [])), {}) + row_data = data.get('rowData',[]) + # spreadsheet is an OrderedDict, with orderd sheets and rows in the repsonse + + headers = row_data[0].get('values', []) + first_values = row_data[1].get('values', []) + # LOGGER.info('first_values = {}'.format(json.dumps(first_values, indent=2, sort_keys=True))) + + sheet_json_schema['type'] = 'object' + sheet_json_schema['additionalProperties'] = False + sheet_json_schema = { + 'type': 'object', + 'additionalProperties': False, + 'properties': { + '__sdc_spreadsheet_id': { + 'type': ['null', 'string'] + }, + '__sdc_sheet_id': { + 'type': ['null', 'integer'] + }, + '__sdc_row': { + 'type': ['null', 'integer'] + } + } + } + + header_list = [] # used for checking uniqueness + columns = [] + prior_header = None + i = 0 + skipped = 0 + # Read column headers until end or 2 consecutive skipped headers + for header in headers: + # LOGGER.info('header = {}'.format(json.dumps(header, indent=2, sort_keys=True))) + column_index = i + 1 + column_letter = colnum_string(column_index) + header_value = header.get('formattedValue') + if header_value: # NOT skipped + column_is_skipped = False + skipped = 0 + column_name = '{}'.format(header_value) + if column_name in header_list: + raise Exception('DUPLICATE HEADER ERROR: {}'.format(column_name)) + else: + header_list.append(column_name) + + first_value = first_values[i] + # LOGGER.info('first_value[{}] = {}'.format(i, json.dumps(first_value, indent=2, sort_keys=True))) + + column_effective_value = first_value.get('effectiveValue', {}) + for key in column_effective_value.keys(): + if key in ('numberValue', 'stringValue', 'boolValue', 'errorType', 'formulaType'): + column_effective_value_type = key + + column_number_format = first_values[i].get('effectiveFormat', {}).get('numberFormat', {}) + column_number_format_type = column_number_format.get('type') + + # Determine datatype for sheet_json_schema + # + # column_effective_value_type = numberValue, stringValue, boolValue; INVALID: errorType, formulaType + # Reference: https://developers.google.com/sheets/api/reference/rest/v4/spreadsheets/other#ExtendedValue + # + # column_number_format_type = UNEPECIFIED, TEXT, NUMBER, PERCENT, CURRENCY, DATE, TIME, DATE_TIME, SCIENTIFIC + # Reference: https://developers.google.com/sheets/api/reference/rest/v4/spreadsheets/cells#NumberFormatType + # + column_format = None # Default + # column_multiple_of = None # Default + if column_effective_value_type in ('formulaValue', 'errorValue'): + raise Exception('INVALID DATA TYPE ERROR: {}, value: {}'.format(column_name)) + elif column_effective_value_type == 'stringValue': + column_type = ['null', 'string'] + column_gs_type = 'stringValue' + elif column_effective_value_type == 'boolValue': + column_type = ['null', 'boolean', 'string'] + column_gs_type = 'boolValue' + elif column_effective_value_type == 'numberValue': + if column_number_format_type == 'DATE_TIME': + column_type = ['null', 'string'] + column_format = 'date-time' + column_gs_type = 'numberType.DATE_TIME' + elif column_number_format_type == 'DATE': + column_type = ['null', 'string'] + column_format = 'date' + column_gs_type = 'numberType.DATE' + elif column_number_format_type == 'TIME': + column_type = ['null', 'string'] + column_format = 'time' + column_gs_type = 'numberType.TIME' + elif column_number_format_type == 'TEXT': + column_type = ['null', 'string'] + column_gs_type = 'stringValue' + else: + column_type = ['null', 'number', 'string'] + column_gs_type = 'numberType' + + else: # skipped + column_is_skipped = True + skipped = skipped + 1 + column_index_str = str(column_index).zfill(2) + column_name = '__sdc_skip_col_{}'.format(column_index_str) + column_type = ['null', 'string'] + column_format = None + column_gs_type = 'stringValue' + + if skipped >= 2: + # skipped = 2 consecutive skipped headers + # Remove prior_header column_name + sheet_json_schema['properties'].pop(prior_header, None) + column_count = i - 1 + break + + else: + column = {} + column = { + 'columnIndex': column_index, + 'columnLetter': column_letter, + 'columnName': column_name, + 'columnType': column_gs_type, + 'columnSkipped': column_is_skipped + } + columns.append(column) + + sheet_json_schema['properties'][column_name] = column + sheet_json_schema['properties'][column_name]['type'] = column_type + if column_format: + sheet_json_schema['properties'][column_name]['format'] = column_format + + prior_header = column_name + i = i + 1 + + return sheet_json_schema, columns + + +def get_sheet_metadata(sheet, spreadsheet_id, client): + sheet_id = sheet.get('properties', {}).get('sheetId') + sheet_title = sheet.get('properties', {}).get('title') + LOGGER.info('sheet_id = {}, sheet_title = {}'.format(sheet_id, sheet_title)) + + stream_name = 'sheet_metadata' + stream_metadata = STREAMS.get(stream_name) + api = stream_metadata.get('api', 'sheets') + params = stream_metadata.get('params', {}) + querystring = '&'.join(['%s=%s' % (key, value) for (key, value) in params.items()]).replace('{sheet_title}', sheet_title) + path = '{}?{}'.format(stream_metadata.get('path').replace('{spreadsheet_id}', spreadsheet_id), querystring) + + sheet_md_results = client.get(path=path, api=api, endpoint=stream_name) + sheet_cols = sheet_md_results.get('sheets')[0] + sheet_schema, columns = get_sheet_schema_columns(sheet_cols, spreadsheet_id, client) + + return sheet_schema, columns + + +def get_abs_path(path): + return os.path.join(os.path.dirname(os.path.realpath(__file__)), path) + +def get_schemas(client, spreadsheet_id): + schemas = {} + field_metadata = {} + + for stream_name, stream_metadata in STREAMS.items(): + schema_path = get_abs_path('schemas/{}.json'.format(stream_name)) + with open(schema_path) as file: + schema = json.load(file) + schemas[stream_name] = schema + mdata = metadata.new() + + # Documentation: + # https://github.com/singer-io/getting-started/blob/master/docs/DISCOVERY_MODE.md#singer-python-helper-functions + # Reference: + # https://github.com/singer-io/singer-python/blob/master/singer/metadata.py#L25-L44 + mdata = metadata.get_standard_metadata( + schema=schema, + key_properties=stream_metadata.get('key_properties', None), + valid_replication_keys=stream_metadata.get('replication_keys', None), + replication_method=stream_metadata.get('replication_method', None) + ) + field_metadata[stream_name] = mdata + + if stream_name == 'spreadsheet_metadata': + api = stream_metadata.get('api', 'sheets') + params = stream_metadata.get('params', {}) + querystring = '&'.join(['%s=%s' % (key, value) for (key, value) in params.items()]) + path = '{}?{}'.format(stream_metadata.get('path').replace('{spreadsheet_id}', spreadsheet_id), querystring) + + spreadsheet_md_results = client.get(path=path, params=querystring, api=api, endpoint=stream_name) + + sheets = spreadsheet_md_results.get('sheets') + if sheets: + for sheet in sheets: + sheet_schema, columns = get_sheet_metadata(sheet, spreadsheet_id, client) + # LOGGER.info('sheet_schema = {}'.format(json.dumps(sheet_schema, indent=2, sort_keys=True))) + + sheet_title = sheet.get('properties', {}).get('title') + schemas[sheet_title] = sheet_schema + sheet_mdata = metadata.new() + sheet_mdata = metadata.get_standard_metadata( + schema=sheet_schema, + key_properties=['__sdc_row'], + valid_replication_keys=None, + replication_method='FULL_TABLE' + ) + field_metadata[sheet_title] = sheet_mdata + + return schemas, field_metadata diff --git a/tap_google_sheets/schemas/file_metadata.json b/tap_google_sheets/schemas/file_metadata.json new file mode 100644 index 0000000..25c19c4 --- /dev/null +++ b/tap_google_sheets/schemas/file_metadata.json @@ -0,0 +1,44 @@ +{ + "type": "object", + "additionalProperties": false, + "properties": { + "id": { + "type": ["null", "string"] + }, + "name": { + "type": ["null", "string"] + }, + "version": { + "type": ["null", "integer"] + }, + "createdTime": { + "type": ["null", "string"], + "format": "date-time" + }, + "modifiedTime": { + "type": ["null", "string"], + "format": "date-time" + }, + "teamDriveId": { + "type": ["null", "string"] + }, + "driveId": { + "type": ["null", "string"] + }, + "lastModifyingUser": { + "type": ["null", "object"], + "additionalProperties": false, + "properties": { + "kind": { + "type": ["null", "integer"] + }, + "displayName": { + "type": ["null", "string"] + }, + "emailAdress": { + "type": ["null", "string"] + } + } + } + } +} diff --git a/tap_google_sheets/schemas/sheet_metadata.json b/tap_google_sheets/schemas/sheet_metadata.json new file mode 100644 index 0000000..c3f2ac2 --- /dev/null +++ b/tap_google_sheets/schemas/sheet_metadata.json @@ -0,0 +1,89 @@ +{ + "type": "object", + "additionalProperties": false, + "properties": { + "spreadsheetId": { + "type": ["null", "string"] + }, + "sheetId": { + "type": ["null", "integer"] + }, + "title": { + "type": ["null", "string"] + }, + "index": { + "type": ["null", "integer"] + }, + "sheetType": { + "type": ["null", "string"] + }, + "sheetUrl": { + "type": ["null", "string"] + }, + "gridProperties": { + "type": ["null", "object"], + "additionalProperties": false, + "properties": { + "rowCount": { + "type": ["null", "integer"] + }, + "columnCount": { + "type": ["null", "integer"] + }, + "frozenRowCount": { + "type": ["null", "integer"] + }, + "frozenColumnCount": { + "type": ["null", "integer"] + } + } + }, + "columns": { + "anyOf": [ + { + "type": "array", + "items": { + "type": ["null", "object"], + "additionalProperties": false, + "properties": { + "columnIndex": { + "type": ["null", "integer"] + }, + "columnLetter": { + "type": ["null", "string"] + }, + "columnName": { + "type": ["null", "string"] + }, + "columnType": { + "type": ["null", "string"] + }, + "columnSkipped": { + "type": ["null", "boolean"] + }, + "type": { + "anyOf": [ + { + "type": "array", + "items": { + "type": "string" + } + }, + { + "type": "null" + } + ] + }, + "format": { + "type": ["null", "string"] + } + } + } + }, + { + "type": "null" + } + ] + } + } +} diff --git a/tap_google_sheets/schemas/sheets_loaded.json b/tap_google_sheets/schemas/sheets_loaded.json new file mode 100644 index 0000000..12f967a --- /dev/null +++ b/tap_google_sheets/schemas/sheets_loaded.json @@ -0,0 +1,22 @@ +{ + "type": "object", + "additionalProperties": false, + "properties": { + "spreadsheetId": { + "type": ["null", "string"] + }, + "sheetId": { + "type": ["null", "integer"] + }, + "sheetTitle": { + "type": ["null", "string"] + }, + "loadDate": { + "type": ["null", "string"], + "format": "date-time" + }, + "lastRowNumber": { + "type": ["null", "integer"] + } + } +} diff --git a/tap_google_sheets/schemas/spreadsheet_metadata.json b/tap_google_sheets/schemas/spreadsheet_metadata.json new file mode 100644 index 0000000..852cb76 --- /dev/null +++ b/tap_google_sheets/schemas/spreadsheet_metadata.json @@ -0,0 +1,30 @@ +{ + "type": "object", + "additionalProperties": false, + "properties": { + "spreadsheetId": { + "type": ["null", "string"] + }, + "properties": { + "type": ["null", "object"], + "additionalProperties": false, + "properties": { + "title": { + "type": ["null", "string"] + }, + "locale": { + "type": ["null", "string"] + }, + "autoRecalc": { + "type": ["null", "string"] + }, + "timeZone": { + "type": ["null", "string"] + } + } + }, + "spreadsheetUrl": { + "type": ["null", "string"] + } + } +} diff --git a/tap_google_sheets/streams.py b/tap_google_sheets/streams.py new file mode 100644 index 0000000..299326a --- /dev/null +++ b/tap_google_sheets/streams.py @@ -0,0 +1,66 @@ +from collections import OrderedDict + +# streams: API URL endpoints to be called +# properties: +# : Plural stream name for the endpoint +# path: API endpoint relative path, when added to the base URL, creates the full path, +# default = stream_name +# key_properties: Primary key fields for identifying an endpoint record. +# replication_method: INCREMENTAL or FULL_TABLE +# replication_keys: bookmark_field(s), typically a date-time, used for filtering the results +# and setting the state +# params: Query, sort, and other endpoint specific parameters; default = {} +# data_key: JSON element containing the results list for the endpoint; default = root (no data_key) +# bookmark_query_field: From date-time field used for filtering the query +# bookmark_type: Data type for bookmark, integer or datetime + +FILE_METADATA = { + "api": "files", + "path": "files/{spreadsheet_id}", + "key_properties": ["id"], + "replication_method": "FULL_TABLE", + "params": { + "fields": "id,name,createdTime,modifiedTime,version,teamDriveId,driveId,lastModifyingUser" + } +} + +SPREADSHEET_METADATA = { + "api": "sheets", + "path": "spreadsheets/{spreadsheet_id}", + "key_properties": ["spreadsheetId"], + "replication_method": "FULL_TABLE", + "params": { + "includeGridData": "false" + } +} + +SHEET_METADATA = { + "api": "sheets", + "path": "spreadsheets/{spreadsheet_id}", + "key_properties": ["sheetId"], + "replication_method": "FULL_TABLE", + "params": { + "includeGridData": "true", + "ranges": "'{sheet_title}'!1:2" + } +} + +SHEETS_LOADED = { + "api": "sheets", + "path": "spreadsheets/{spreadsheet_id}/values/'{sheet_title}'!{range_rows}", + "data_key": "values", + "key_properties": ["spreadsheetId", "sheetId", "loadDate"], + "replication_method": "FULL_TABLE", + "params": { + "dateTimeRenderOption": "SERIAL_NUMBER", + "valueRenderOption": "UNFORMATTED_VALUE", + "majorDimension": "ROWS" + } +} + +# Ensure streams are ordered logically +STREAMS = OrderedDict() +STREAMS['file_metadata'] = FILE_METADATA +STREAMS['spreadsheet_metadata'] = SPREADSHEET_METADATA +STREAMS['sheet_metadata'] = SHEET_METADATA +STREAMS['sheets_loaded'] = SHEETS_LOADED diff --git a/tap_google_sheets/sync.py b/tap_google_sheets/sync.py new file mode 100644 index 0000000..a8b02d0 --- /dev/null +++ b/tap_google_sheets/sync.py @@ -0,0 +1,281 @@ +import time +import math +import singer +import json +from collections import OrderedDict +from singer import metrics, metadata, Transformer, utils +from singer.utils import strptime_to_utc, strftime +from tap_google_sheets.transform import transform_json +from tap_google_sheets.streams import STREAMS +from tap_google_sheets.schema import get_sheet_metadata + +LOGGER = singer.get_logger() + + +def write_schema(catalog, stream_name): + stream = catalog.get_stream(stream_name) + schema = stream.schema.to_dict() + try: + singer.write_schema(stream_name, schema, stream.key_properties) + except OSError as err: + LOGGER.info('OS Error writing schema for: {}'.format(stream_name)) + raise err + + +def write_record(stream_name, record, time_extracted): + try: + singer.messages.write_record(stream_name, record, time_extracted=time_extracted) + except OSError as err: + LOGGER.info('OS Error writing record for: {}'.format(stream_name)) + LOGGER.info('record: {}'.format(record)) + raise err + + +def get_bookmark(state, stream, default): + if (state is None) or ('bookmarks' not in state): + return default + return ( + state + .get('bookmarks', {}) + .get(stream, default) + ) + + +def write_bookmark(state, stream, value): + if 'bookmarks' not in state: + state['bookmarks'] = {} + state['bookmarks'][stream] = value + LOGGER.info('Write state for stream: {}, value: {}'.format(stream, value)) + singer.write_state(state) + + +# def transform_datetime(this_dttm): +def transform_datetime(this_dttm): + with Transformer() as transformer: + new_dttm = transformer._transform_datetime(this_dttm) + return new_dttm + + +def process_records(catalog, #pylint: disable=too-many-branches + stream_name, + records, + time_extracted, + bookmark_field=None, + bookmark_type=None, + max_bookmark_value=None, + last_datetime=None, + last_integer=None, + parent=None, + parent_id=None): + stream = catalog.get_stream(stream_name) + schema = stream.schema.to_dict() + stream_metadata = metadata.to_map(stream.metadata) + + with metrics.record_counter(stream_name) as counter: + for record in records: + # If child object, add parent_id to record + if parent_id and parent: + record[parent + '_id'] = parent_id + + # Transform record for Singer.io + with Transformer() as transformer: + transformed_record = transformer.transform( + record, + schema, + stream_metadata) + # Reset max_bookmark_value to new value if higher + if transformed_record.get(bookmark_field): + if max_bookmark_value is None or \ + transformed_record[bookmark_field] > transform_datetime(max_bookmark_value): + max_bookmark_value = transformed_record[bookmark_field] + + if bookmark_field and (bookmark_field in transformed_record): + if bookmark_type == 'integer': + # Keep only records whose bookmark is after the last_integer + if transformed_record[bookmark_field] >= last_integer: + write_record(stream_name, transformed_record, \ + time_extracted=time_extracted) + counter.increment() + elif bookmark_type == 'datetime': + last_dttm = transform_datetime(last_datetime) + bookmark_dttm = transform_datetime(transformed_record[bookmark_field]) + # Keep only records whose bookmark is after the last_datetime + if bookmark_dttm >= last_dttm: + write_record(stream_name, transformed_record, \ + time_extracted=time_extracted) + counter.increment() + else: + write_record(stream_name, transformed_record, time_extracted=time_extracted) + counter.increment() + + return max_bookmark_value, counter.value + + +# Currently syncing sets the stream currently being delivered in the state. +# If the integration is interrupted, this state property is used to identify +# the starting point to continue from. +# Reference: https://github.com/singer-io/singer-python/blob/master/singer/bookmarks.py#L41-L46 +def update_currently_syncing(state, stream_name): + if (stream_name is None) and ('currently_syncing' in state): + del state['currently_syncing'] + else: + singer.set_currently_syncing(state, stream_name) + singer.write_state(state) + + +# List selected fields from stream catalog +def get_selected_fields(catalog, stream_name): + stream = catalog.get_stream(stream_name) + mdata = metadata.to_map(stream.metadata) + mdata_list = singer.metadata.to_list(mdata) + selected_fields = [] + for entry in mdata_list: + field = None + try: + field = entry['breadcrumb'][1] + if entry.get('metadata', {}).get('selected', False): + selected_fields.append(field) + except IndexError: + pass + return selected_fields + + +def get_data(stream_name, + endpoint_config, + client, + spreadsheet_id, + range_rows=None): + if not range_rows: + range_rows = '' + path = endpoint_config.get('path', stream_name).replace( + '{spreadsheet_id}', spreadsheet_id).replace('{sheet_title}', stream_name).replace( + '{range_rows}', range_rows) + params = endpoint_config.get('params', {}) + api = endpoint_config.get('api', 'sheets') + querystring = '&'.join(['%s=%s' % (key, value) for (key, value) in params.items()]).replace( + '{sheet_title}', stream_name) + data = {} + data = client.get( + path=path, + api=api, + params=querystring, + endpoint=stream_name) + return data + + +def transform_file_metadata(file_metadata): + # Convert to dict + file_metadata_tf = json.loads(json.dumps(file_metadata)) + # Remove keys + if file_metadata_tf.get('lastModifyingUser'): + file_metadata_tf['lastModifyingUser'].pop('photoLink', None) + file_metadata_tf['lastModifyingUser'].pop('me', None) + file_metadata_tf['lastModifyingUser'].pop('permissionId', None) + # Add record to an array of 1 + file_metadata_arr = [] + file_metadata_arr.append(file_metadata_tf) + return file_metadata_arr + + +def transform_spreadsheet_metadata(spreadsheet_metadata): + # Convert to dict + spreadsheet_metadata_tf = json.loads(json.dumps(spreadsheet_metadata)) + # Remove keys + if spreadsheet_metadata_tf.get('properties'): + spreadsheet_metadata_tf['properties'].pop('defaultFormat', None) + spreadsheet_metadata_tf.pop('sheets', None) + # Add record to an array of 1 + spreadsheet_metadata_arr = [] + spreadsheet_metadata_arr.append(spreadsheet_metadata_tf) + return spreadsheet_metadata_arr + + +def transform_sheet_metadata(spreadsheet_id, sheet, columns): + # Convert to properties to dict + sheet_metadata = sheet.get('properties') + sheet_metadata_tf = json.loads(json.dumps(sheet_metadata)) + sheet_id = sheet_metadata_tf.get('sheetId') + sheet_url = 'https://docs.google.com/spreadsheets/d/{}/edit#gid={}'.format( + spreadsheet_id, sheet_id) + sheet_metadata_tf['spreadsheetId'] = spreadsheet_id + sheet_metadata_tf['sheetUrl'] = sheet_url + sheet_metadata_tf['columns'] = columns + return sheet_metadata_tf + + +def sync(client, config, catalog, state): + start_date = config.get('start_date') + spreadsheet_id = config.get('spreadsheet_id') + + # Get selected_streams from catalog, based on state last_stream + # last_stream = Previous currently synced stream, if the load was interrupted + last_stream = singer.get_currently_syncing(state) + LOGGER.info('last/currently syncing stream: {}'.format(last_stream)) + selected_streams = [] + for stream in catalog.get_selected_streams(state): + selected_streams.append(stream.stream) + LOGGER.info('selected_streams: {}'.format(selected_streams)) + + if not selected_streams: + return + + # Get file_metadata + file_metadata = {} + file_metadata_config = STREAMS.get('file_metadata') + file_metadata = get_data('file_metadata', file_metadata_config, client, spreadsheet_id) + file_metadata_tf = transform_file_metadata(file_metadata) + # LOGGER.info('file_metadata_tf = {}'.format(file_metadata_tf)) + last_datetime = strptime_to_utc(get_bookmark(state, 'file_metadata', start_date)) + this_datetime = strptime_to_utc(file_metadata.get('modifiedTime')) + LOGGER.info('last_datetime = {}, this_datetime = {}'.format(last_datetime, this_datetime)) + if this_datetime <= last_datetime: + LOGGER.info('this_datetime <= last_datetime, FILE NOT CHANGED. EXITING.') + return 0 + + # Get spreadsheet_metadata + spreadsheet_metadata = {} + spreadsheet_metadata_config = STREAMS.get('spreadsheet_metadata') + spreadsheet_metadata = get_data('spreadsheet_metadata', spreadsheet_metadata_config, client, spreadsheet_id) + spreadsheet_metadata_tf = transform_spreadsheet_metadata(spreadsheet_metadata) + # LOGGER.info('spreadsheet_metadata_tf = {}'.format(spreadsheet_metadata_tf)) + + # Get sheet_metadata + sheets = spreadsheet_metadata.get('sheets') + sheet_metadata = [] + sheets_loaded = [] + sheets_loaded_config = STREAMS['sheets_loaded'] + if sheets: + for sheet in sheets: + sheet_title = sheet.get('properties', {}).get('title') + sheet_schema, columns = get_sheet_metadata(sheet, spreadsheet_id, client) + sheet_metadata_tf = transform_sheet_metadata(spreadsheet_id, sheet, columns) + # LOGGER.info('sheet_metadata_tf = {}'.format(sheet_metadata_tf)) + sheet_metadata.append(sheet_metadata_tf) + + # Determine range of rows and columns for "paging" through batch rows of data + sheet_last_col_index = 1 + sheet_last_col_letter = 'A' + for col in columns: + col_index = col.get('columnIndex') + col_letter = col.get('columnLetter') + if col_index > sheet_last_col_index: + sheet_last_col_index = col_index + sheet_last_col_letter = col_letter + sheet_max_row = sheet.get('gridProperties', {}).get('rowCount') + is_empty_row = False + batch_rows = 200 + from_row = 2 + if sheet_max_row < batch_rows: + to_row = sheet_max_row + else: + to_row = batch_rows + + while not is_empty_row and to_row <= sheet_max_row: + range_rows = 'A2:{}{}'.format(sheet_last_col_letter, to_row) + + sheet_data = get_data( + stream_name=sheet_title, + endpoint_config=sheets_loaded_config, + client=client, + spreadsheet_id=spreadsheet_id, + range_rows=range_rows) -- cgit v1.2.3