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update documentation
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Hrishikesh-Kalyanaraman authored Sep 25, 2024
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3 changes: 2 additions & 1 deletion .github/workflows/main.yml
Original file line number Diff line number Diff line change
Expand Up @@ -87,11 +87,12 @@ jobs:
# The script that runs the html script outputs if any tests are failed and that is stored as an environment variable
# Paths to master and gh-pages are passed as sys args to the scripts, so their files can be accessed
- name: Run build and test script
run: |
run: |
cd scripts
chmod +x build-and-test.sh
./build-and-test.sh --master $GITHUB_WORKSPACE/master --ghpages $GITHUB_WORKSPACE/gh-pages
python3 logpage.py --master $GITHUB_WORKSPACE/master --ghpages $GITHUB_WORKSPACE/gh-pages
# Push the files from gh-pages that need to be preserved for future use
- name: Add index.html and previous logs from gh-pages
run: |
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116 changes: 90 additions & 26 deletions README.md
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Expand Up @@ -11,6 +11,9 @@
- [logparser](#logparser)
- [store](#store)
- [logpage](#logpage)
- [regenerate](#regenerate)
- [create_csv](#create_csv)
- [i-frames and badge](#sidebar.html)

## Introduction

Expand Down Expand Up @@ -42,10 +45,12 @@ master:

scripts:
- `build-and-test.sh` - Compiles and runs the tests
- `parser.py` - Parses the log files
- `logparser.py` - Parses the log files
- `logpage.py` - Generates the HTML pages
- `store.py` - Stores logs for future use
- `mail.py` - Send email each time tests are run
- `regenerate.py` - Used to regenerate all HTML pages when new design is created
- `create_csv.py` - Used to recreate CSV files when new columns are added

gh-pages:
- `test_nums.csv` - Stores summary stats from logs
Expand All @@ -62,54 +67,56 @@ and pushes all the generated log and html files to the repository.

The workflow is run on each push and can also be run manually

The first part of the workflow is checking if there is already a
workflow run in progress, and if that is true, this new run is not
performed. This uses this plugin: https://github.com/fkirc/skip-duplicate-actions
The first part of the workflow is checking if there is already a workflow run in progress, and if that is true, this new run is put into a pending state. If there exists a pending run and the workflow is triggered, the pending workflow is cancelled, and the new workflow has pending status.
We use github concurrency to acheive this: https://docs.github.com/en/actions/using-jobs/using-concurrency

![skipping-code](https://github.com/mojamil/einsteintoolkit/blob/gh-pages/images/skip.png)

The second workflow run in this picture ends in 18s as the
third one was running at the same time
![skipping-result](https://github.com/mojamil/einsteintoolkit/blob/gh-pages/images/skip2.png)
![skipping-code](https://github.com/EinsteinToolkit/tests/blob/gh-pages/images/conc-manual.png)

The CI runner checks-out both the scripts branch (contains the scripts are to parse and output the data) and the gh-pages branch (contains test log files and HTML output).

Then all the required libraries are installed, after which a clone of the master branch is created and the files from the gh-pages and scripts
![check-out](https://github.com/EinsteinToolkit/tests/blob/gh-pages/images/check-out.png)

It is important to note that for every workflow run, a link to the master branch and gh-pages branch have to be passed. This done to minimize hardcoding of the workflow and help improve transferability of the testing framework.

Then, all the required libraries are installed, after which a clone of the master branch is created and the files from the gh-pages and scripts
branches are copied over into a new repository on GitHub's cloud and run:

![copy](https://github.com/mojamil/einsteintoolkit/blob/gh-pages/images/copy.png)
![copy](https://github.com/EinsteinToolkit/tests/blob/gh-pages/images/libraries.png)

Then the files with the data that needs to be stored are copied back and pushed to the remote gh-pages branch.

In order check if there was a workflow run that was cancelled the workflow
checks if there were in any changes made to the repository and if so it runs
the workflow again. This workflow would be run again using this plugin: https://github.com/benc-uk/workflow-dispatch

![check](https://github.com/mojamil/einsteintoolkit/blob/gh-pages/images/check.png)
![check](https://github.com/EinsteinToolkit/tests/blob/gh-pages/images/check.png)

### parser
### logparser

This python script is used to parse the log files for required data.
The parsing is done by using regex expression matching to find the
necessary information. A brief description of what each function
does
necessary information. Initially, logparser looks through the arguments provided for the master and gh-pages branch.

A brief description of what each function does:

`create_summary(file)` This function looks for the summary of the tests stored in log files such
as build__2_1.log or build__1_2.log:

![summary](https://github.com/mojamil/einsteintoolkit/blob/gh-pages/images/summary.png)
![summary](https://github.com/EinsteinToolkit/tests/blob/gh-pages/images/summary.png)

`get_tests(file)` Gets the name of the test that passed and failed as listed in log files such
as build__2_1.log or build__1_2.log:

![pass-fail](https://github.com/mojamil/einsteintoolkit/blob/gh-pages/images/pass-fail.png)
![pass-fail](https://github.com/EinsteinToolkit/tests/blob/gh-pages/images/pass-fail.png)

`test_comp(file1,file2)` Compares the passed and failed tests from file1 and file2 and returns
which files are newly passing,newly failing, newly added and removed.

`get_times(file)` This function finds the times taken for each test in the log
file and then stores that in a dictionary and then sorts those tests in descending order by time

`exceed_thresh(time_dict,thresh)` This function finds tests that exceed a certain time threshhold

`longest_tests(time_dict,num_tests)` This function uses output from get_times i.e. time_dict to find
num_tests number of the longest test

Expand All @@ -127,42 +134,99 @@ and outputs the number of warnings per thorn:

`get_compile(file)` Gets the total number of compilation warnings

`get_warning_type(file)` Compiles of counts of what types of warnings are produced the most
during compilation

`get_warning_thorns(file)` This code finds how many compile time warnings are related each thorn

### store

`copy_tests(test_dir,version,procs)` copies logs and diffs for each test. test_dir is where the test logs
and diffs are.The version number and number of procs is used to store the files as shown below:
`copy_tests(test_dir,version,procs)` copies logs and diffs for each test. test_dir is where the test logs and diffs are.The version number and number of procs is used to store the files as shown below:

![vers_proc](https://github.com/mojamil/einsteintoolkit/blob/gh-pages/images/vers_proc.png)

`copy_logs(version)` This copies the test logs for future use
`copy_logs(test_dir, version)` This copies the test logs for future use

`copy_build(version, test_results, store = None)` This copies the old html build files showing test results for future use

`copy_compile_log(version)` This copies the compilation logs for future use

`copy_index(version)` This copies the old html files showing test results for future use
`store_commit_id(version)` This stores the current git HEAD hash for future use

`get_version(store = None)` Gets the version based on the stored files if there are no stored files returns 1

`get_version()` Gets the version based on the stored files if there are no stored files
returns 1
`store_version(next_build)` This stores the version of the current build in the list of build numbers file.

`get_commit_id(version, store = None)` This returns the code commit id that this version corresponds to.

### logpage

Logpage.py generates tables for the html report page and outputs as an html page as
shown here:
https://einsteintoolkit.github.io/tests/


This file gets the last few commits using githubs REST API for commits and workflow runs as
shown in these documentation links: https://docs.github.com/en/rest/reference/repos#commits and https://docs.github.com/en/rest/reference/actions

`gen_commits()` This function generates a list of commits that have been made since the last run. If the workflow was run manually it will say so.

![commit_table](https://github.com/EinsteinToolkit/tests/blob/gh-pages/images/commits.png)

`gen_diffs(readfile)` This function generates the html table that shows the comparison of test logs from last version generated by test_comp in logparser

`get_first_failure(test_name)` This function returns the first version number when this test failed

This table shows the table generated by gen_diffs and get_first_failure:

![gen_diffs](https://github.com/EinsteinToolkit/tests/blob/gh-pages/images/gen_diffs.png)

`gen_time(readfile)` This function generates a table with the tests that took the longest time

Before you look into the functions that generate plots, it is important to understand bokeh

This file uses bokeh, a python library, to generate plots. The plots are created using python code and bokeh
then converts to javascript and html.

![bokeh](https://github.com/mojamil/einsteintoolkit/blob/gh-pages/images/bokeh.png)
![plot](https://github.com/mojamil/einsteintoolkit/blob/gh-pages/images/plot.PNG)
![bokeh](https://github.com/EinsteinToolkit/tests/blob/gh-pages/images/bokeh.png)
![plot](https://github.com/EinsteinToolkit/tests/blob/gh-pages/images/plot.PNG)

Bokeh's plotting works similar to other plotting libraries. First a figure is generated and attributes can
be added such as tools to zoom, labels, axis ranges, etc. Bokeh plots using glyphs i.e. given data it will
plot it in the format specified for example p.line shown above generates a line graph and p.circle can be
used for scatter plots. Bokeh can show its plot locally and save it as a file or generate html and javascript
for the plot as shown below:

![bokeh2](https://github.com/mojamil/einsteintoolkit/blob/gh-pages/images/bokeh2.png)
![bokeh2](https://github.com/EinsteinToolkit/tests/blob/gh-pages/images/bokeh2.png)

`plot_test_data(readfile)` This gets data from the csv and creates lists for each field

`gen_unrunnable(readfile)` This function generates a html showing which tests could not be run and the reason

![unrunnable](https://github.com/EinsteinToolkit/tests/blob/gh-pages/images/unrunnable.png)

`create_sidebar()` This creates sidebar.html containing all build numbers that gets injected into the HTML page created in summary_to_html

#there is a badge on the einstein toolkit website. Document on how to add this
# Put in i-frames and version.js (change extension to HTML)

![sidebar](https://github.com/EinsteinToolkit/tests/blob/gh-pages/images/sidebar.png)

`create_test_results(readfile)` This creates test results for the given log file, which gets displayed to the right of the sidebar

`summary_to_html(readfile,writefile)` This function reads the log file and outputs and html page with the summary in a table

`write_to_csv(readfile)` This function is used to store data between builds into a csv

### regenerate

This python script is used to regenerate all HTML builds in the case of design changes. This file is similar to logpage. These functions are slightly modified so that the design changes can be run in a for-loop, and hence affect all builds up to date

### create_csv

This python script is used to add columns and automate the creation of a new csv file with previous and newly added data. This file is also similar to logpage. However, since we are only modifying the CSV file, we do not use logpage functions that modify the HTML site.





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