![]() ![]() Factories Should Create Representative Mock Data ![]() It pertains to mock or fake test data, perhaps large volumes of fake test data, that you can use to confirm the usability, performance, and architectural design of a app or Salesforce implementation as your volume of production data ramps up after deployment. Note: Just to be clear, this post does not necessarily refer to test data for running unit tests. In this post, I’ll preview a sample app and related techniques that you can use to quickly create all the test data you need for a application or Salesforce implementation, and help you avoid disasters that stem from a lack of adequate testing. If only you had tested the application with a data set representing what you expect in production, you could have proactively identified these issues before deploying the app to the world and avoided this embarrassing mess. See the official documentation for more information on how to configure and run tests with pytest.How many of you have felt this kind of database-driven apps pain? You design and build what you think is a great new app, test it with a minimal amount of data to confirm that it doesn’t have any obvious bugs, and then slog through both challenging investigations of problems and architecture redesigns–your application is not as usable as you originally thought it was, and it doesn’t perform well with production data volumes. To get a more accurate execution time statistics make sure to use Nose 1.1.0 īy default, the nosetests command will generate the report nosetests.xml into a directory named nosetests created where the command is executed.Ĭommand with pytest: pytest -junitxml=pytest-report.xml every directory on the way to the sources should contain an init.py file.Ĭommand with Nose: nosetests -with-xunit To make this work, make sure to meet two prerequisites: That ensures that coverage will report zero coverage on all untouched files, as you most probably want to. Make sure to put all packages to measure into the -source parameter. Tool: Coverage Tool provided by Ned Batchelder
0 Comments
Leave a Reply. |