Discovery mode works. Still working on normal sync.
--- /dev/null
+/.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
--- /dev/null
+# Changelog
+
+## 0.0.1
+ * Initial commit
--- /dev/null
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+DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD
+PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS),
+EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF
+SUCH DAMAGES.
+
+ 17. Interpretation of Sections 15 and 16.
+
+ If the disclaimer of warranty and limitation of liability provided
+above cannot be given local legal effect according to their terms,
+reviewing courts shall apply local law that most closely approximates
+an absolute waiver of all civil liability in connection with the
+Program, unless a warranty or assumption of liability accompanies a
+copy of the Program in return for a fee.
+
+ END OF TERMS AND CONDITIONS
+
+ How to Apply These Terms to Your New Programs
+
+ If you develop a new program, and you want it to be of the greatest
+possible use to the public, the best way to achieve this is to make it
+free software which everyone can redistribute and change under these terms.
+
+ To do so, attach the following notices to the program. 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.
+
+ <one line to give the program's name and a brief idea of what it does.>
+ Copyright (C) <year> <name of author>
+
+ 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 <https://www.gnu.org/licenses/>.
+
+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
+<https://www.gnu.org/licenses/>.
--- /dev/null
+include LICENSE
+include tap_google_sheets/schemas/*.json
-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 <api_user_email@example.com>"
+ }
+ ```
+
+ 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
--- /dev/null
+{
+ "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 <api_user_email@example.com>"
+}
--- /dev/null
+#!/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'
+ ]
+ })
--- /dev/null
+{
+ "currently_syncing": "spreadsheets",
+ "bookmarks": {
+ "file": "2019-09-27T22:34:39.000000Z"
+ }
+}
--- /dev/null
+#!/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()
--- /dev/null
+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)
--- /dev/null
+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
--- /dev/null
+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
--- /dev/null
+{
+ "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"]
+ }
+ }
+ }
+ }
+}
--- /dev/null
+{
+ "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"
+ }
+ ]
+ }
+ }
+}
--- /dev/null
+{
+ "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"]
+ }
+ }
+}
--- /dev/null
+{
+ "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"]
+ }
+ }
+}
--- /dev/null
+from collections import OrderedDict
+
+# streams: API URL endpoints to be called
+# properties:
+# <root node>: 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
--- /dev/null
+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)
projects / github / fretlink / tap-google-sheets.git / commitdiff
