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Documentation | butterdb on PyPi

butterdb is a library to help you work with Google Spreadsheet data. It lets you model your data as Python objects, to be easily manipulated or created.

import butterdb
import json

# For getting OAuth Credential JSON file see http://gspread.readthedocs.org/en/latest/oauth2.html
# Ensure that the client_email has been granted privileges to any workbooks you wish to access.

with open('SomeGoogleProject-2a31d827b2a9.json') as credentials_file:
   json_key = json.load(credentials_file)

client_email = json_key['client_email']
private_key = str(json_key['private_key']).encode('utf-8')

database = butterdb.Database(name="MyDatabaseSheet", client_email=client_email, private_key=private_key)

@butterdb.register(database)
class User(butterdb.Model):
    def __init__(self, name, password):
        self.name = self.field(name)
        self.password = self.field(password)

users = User.get_instances()

marianne = users[1]

print(marianne.password) # rainbow_trout

marianne.password = "hunter2"
marianne.commit()

bob = User("bob", "BestPassword!")
bob.commit()

pip install butterdb

Yep! butterdb is a simple interface around gspread. Just .commit() your objects when you want to update the spreadsheet!

nosetests

• Store data in Google Spreadsheets (the cloud!!!)
• Models from classes
• Fields as attributes. decimals, ints and strings only (as far as I know)
• Commits
• Mocked unit tests, mock database
• Arbitrary cell execution with =blah() (free stored procedures?)
• Auto backup/bad patch control

• Spreadsheets must exist before connecting
• References
• Collections
• Customizable fields
• Customizable table size (arbitrarily hardcoded)

Comments, concerns, issues and pull requests welcomed. Reddit /u/Widdershiny or email me at ncwjohnstone@gmail.com.

MIT License. See LICENSE file for full text.