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If pytest-steps is installed, the step ids will be extracted and the dataframe index will be multi-level It is basically just a transformation of the session_results_dct fixture into a pandas DataFrame. It includes contents from the default fixture_store, including results_bag. This fixture contains a synthesis dataframe for all tests completed "so far" in the module of the caller, Same than session_results_dct but with module scope. This fixture has a function scope because we want its contents to be refreshed every time it is needed. It includes contents from the default fixture_store, including results_bag.īehind the scenes it relies on get_session_synthesis_dct. This fixture contains a synthesis dictionary for all tests completed "so far", with 'full' id format. This fixture has session scope so it is unique across the whole session.

access this fixture from the request fixture using the get_fixture_value helper method.

access this fixture from a dependent fixture and read its value in the setup or teardown script.

create a test using this fixture and make sure that it is executed after all others.

To retrieve the contents of the store, you can:

the results_bag fixture is also saved in this store.

all fixtures decorated with are saved in this store.

fixture_store ¶Ī 'fixture store' fixture: a dictionary where fixture instances can be saved. See basic and advanced documentation for details. If you wish to create custom results bags similar to this one (for example to create several with different names), use create_results_bag_fixture. Use the get_session_synthesis_dct(session) helper method to create a similar synthesis than the above with more customization capabilities. They contain all available information, in a nicely summarized way. Use one of the session_results_dct, module_results_dct, session_results_df or module_results_df fixtures. If you are interested in both the stored results AND some stored fixture values (through you might rather wish to leverage the following helpers:

To get the raw stored results, use the fixture_store fixture: fixture_store will contain all result bags for all tests. There are several ways to gather all results after they have been stored. This fixture has function-scope so a new, empty instance is injected in each test node. It offers a "much"-like api: you can access all entries using the object protocol such as in results_bag.a = 1. results_bag ¶Ī "results bag" fixture: a dictionary where you can store anything (results, context, etc.) during your tests execution.

The following fixtures can be used in your tests as soon as the library is installed (no explicit plugin activation is required).