This is a late summary of pg performance farm in gsoc. Although it is not yet perfect, but it has began to take shape.
1. The implementation of the basic test results upload interface to ensure that the upload operation for the atomic level (including different client numbers in different modes (rw, ro) corresponding to the results of the value).
2. Implementation of the data report related to the list page. Compare each metrics whith the previous results. If any of the metrics are a 5% improvement( or regression), there is one aspect that is progressive (or regressive). This means there may be aspects of "improvement", "regression" and "status quo" in one test result.This is the report List page for an example: http://140.211.168.111/#/machineInfo/pmJEjJjSk3WREM3Q
3.The details page of the test report is implemented. The test results in the "read only" and "read & write" mode of this report are detailed in this page, as well as the link of previous report and other details.
4. A simple user center was implemented to allow users to browse the owning machine and apply for a new machine (I originally planned to access the community's user information interface at logon verification, but this seems to require some waiting...So this part is temporarily not present.)
5. Implement the action of approvaling machine and sending notification email in django admin.
We plan to add some useful features and write test cases to pg performance farm in the future. If anyone has any good ideas or opinions. Please feel free to email my mentors and me. And You are also welcome to leave a message on this issue page: https://github.com/PGPerfFarm/pgperffarm/issues