A library created to aid students of ISCTE-IUL, in Portugal, to build performance tests for their app. This is the first version, so it is very limited and the plotting functionality is not as functional as I wish but improvements are comming soon. I am open to suggestions of features I can add and improvements to my code.
The library uses the Builder pattern to offer a simple and easy to use API to build performance tests. It uses pandas to store the results of the tests, Seaborn to plot the results and matplotlib to show the plot. To build a test you just need to excute the following steps:
- Import the TestStackBuilder from the tests module
- Add targets which are functions that you want to execute during the test (you can add multiple but keep in mind that they should contain the same parameters)
- (Optional) If you want to repeat the test multiple times use the repeat method to pass the number of repetitions
- (Optional) If you want to let the TestStackBuilder plot your data you can add the flag to the builder using the do_show_plot. Keep in mind that this feature doesn't work very well and
- Use build to generated a TestStack
- Finally, run the test using the run method
- (Optional) if the plot representation doesn't suit you you can use the output of the run method which is a dataframe of results from the tests to build your own plot using Seaborn or Matplotlib.
The steps described above are exemplified in the code below
from sp_algopyformancelib.tests import TestStackBuilder
new_stack = TestStackBuilder()\
.add_target(my_func_recur)\
.add_target(my_func_iter)\
.add_param_combinations([(x,) for x in range(20, 51, 5)])\
.do_show_plot()\
.build()
results = new_stack.run()
print(results)Copyright © 2022 Stefan Postolache
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