A Google Sheets manager for Python
Project description
GSheetManager
GSheetManager is a Python package that provides a convenient interface for managing Google Sheets. It offers features like batch updates, local caching, and automatic worksheet refreshing to optimize interactions with Google Sheets.
Installation
You can install GSheetManager using pip:
pip install gsheet-manager
Requirements
- Python 3.6+
- gspread library
Usage
Here's a basic example of how to use GSheetManager:
from gsheet_manager import GSheetManager
class MySheetManager(GSheetManager):
@GSheetManager.batch_sync_with_remote
def update_sales_data(self, product, quantity, price):
# Find the row for the product
product_column = 0
quantity_column = 1
price_column = 2
total_column = 3
for row, row_data in enumerate(self.local_sheet_values):
if row_data[product_column] == product:
# Update quantity
self._set_buffer_cells(row, quantity_column, quantity)
# Update price
self._set_buffer_cells(row, price_column, price)
# Calculate and update total
total = quantity * price
self._set_buffer_cells(row, total_column, total)
print(f"Updated {product}: Quantity={quantity}, Price=${price}, Total=${total}")
return
# If product not found, add a new row
new_row = len(self.local_sheet_values)
self._set_buffer_cells(new_row, product_column, product)
self._set_buffer_cells(new_row, quantity_column, quantity)
self._set_buffer_cells(new_row, price_column, price)
self._set_buffer_cells(new_row, total_column, quantity * price)
print(f"Added new product {product}: Quantity={quantity}, Price=${price}, Total=${quantity * price}")
# Usage
manager = MySheetManager('path/to/key_file.json', 'Sales Sheet', 'Product Data')
manager.update_sales_data('Widget A', 100, 19.99)
manager.update_sales_data('Gadget B', 50, 24.99)
Features
- Batch updates to minimize API calls
- Local caching of sheet values
- Automatic worksheet refreshing
- Decorator for syncing operations with remote
API Reference
GSheetManager(key_file, doc_name, sheet_name)
Creates a new GSheetManager instance.
key_file: Path to your Google Service Account key filedoc_name: Name of your Google Sheetsheet_name: Name of the worksheet
Methods
refresh_worksheet(): Refreshes the worksheet if the timeout has passedsync_from_remote(): Syncs local values from the remote sheetbatch_update_remote(): Sends batched updates to the remote sheet_set_buffer_cells(python_row_idx, python_col_idx, value): Sets a value in the local buffer
Decorators
@batch_sync_with_remote: Decorator for methods that need to sync with the remote sheet
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
License
This project is licensed under the MIT License - see the LICENSE file for details.
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