Package: binubuo
BinubuoBinubuo python library is a powerful client to the Binubuo Synthetic Data API fromhttps://binubuo.com. The API can be used to create dynamic an realistic looking synthetic data that can be used very easily for functional and performance testing as well as validating database design. One major strength of the Binubuo client, is that it integrates tightly with your database, and can use your existing design and data to create new synthetic data. This means that you can very quickly create test data from production data, that can be used by everyone in your organisation without worrying about data protection and other legal or regulatory requirements. The data will look like your production data, except it will be randomly created.Highlighted Features150+ Reeal life data generatorsPre made dataset creators for very quick prototypingPostgres and Oracle integrationCreate synthetic dataset creators directly from your table definitionInstalling Binubuo client and supported versionsBinubuo is available and installable from PyPI:$ python -m pip install binubuoBinubuo officially supports Python 2.7 & 3.6+.Registering an accountYou can register an account on the website; just click the "Sign up" link in the menu bar or click the "Create account now!" button on the front page, or you can create an account from the client itself. Just run thecreate_accountfunction and supply an account name and email for the registration.:>>>frombinubuoimportbinubuo>>>b=binubuo()>>>b.create_account("my_account_name","my_email@example.com")Pleasegotothisurlinyourbrowser:https://binubuo.com/ords/r/binubuo_ui/binubuo/challenge-response?p_sha=1311FE507E555130581C2E70000PleaseinputthecodedisplayedintheaboveURL:468039YourAPIkeyforBinubuois(pleasesaveit.):2C48D11E2BCE3731DD0E22E8EEA584A6F756BED5>>>b.key("2C48D11E2BCE3731DD0E22E8EEA584A6F756BED5")That is it. You are now ready to use the Binubuo client.DocumentationClient documentationAvailable hereBinubuo includes more than 150+ real life data generators:Data Generators Documentation and API ReferenceQuick exampleYou can go ahead and use the client without an account using a temporary access key, although your data rate and ability to store settings and datasets are limited. Simply start the client and start generating data:>>>frombinubuoimportbinubuo>>>b=binubuo()>>>print(b.generate('person','full_name'))AndrewHoward>>>print(b.generate('finance','bank_account_id'))GE02Pu5783332775138823>>>print(b.generate('consumer','food_item'))PumpkinSpice,AtlanticSalmon,2BonlessFillets>>>print(b.generate('time','date'))1945-02-10T17:37:09ZUsing the client with a databaseOne of the strengths ofBinubuois that you can use your existing tables and data to very quickly create synthetic data creators, enabling you to create the perfect test data that matches your real data, both the way it looks (data domain) but equally important, also the way the data is distributed and formatted.Databases currently supported:Oracle(cx_Oracle library required)Postgres(psycopg2 library required)Yugabyte(psycopg2 library required)Here is a quick postgres example, that will create a copy of the sample schema table customer, called customer_copy with 100 rows of synthetic data:>>>frombinubuoimportbinubuoPostgres>>>bo=binubuoPostgres('394129D632B0A4E9913E491286EB428DD80CEFF0','binu','postgres','mypassword')>>>bo.copy_table(source_table='customer',target_table='customer_copy',copy_method='dataset',drop_target_if_exist=True,alternate_dataset_name=False,use_comments=False,use_infer=True,use_sample_data=True,data_rows=100)That is how quickly you can create test data. For detailed documentation and reference commands, take a look at thedocs online