Universum integrates various CI systems and provides additional features, such as: customized downloading sources from VCS, running tests described in configuration file and reporting the results to code review systems.
Full documentation can be found here: https://universum.readthedocs.io/
Please check out our code of conduct and contribution policy
Project is executed with python3.7 -m universum
command.
Independent analyzers are executed with their module name, e.g. python3.7 -m universum.analyzers.pylint
.
Other Universum modes, such as poller or submitter, are called via command line, e.g.
python3.7 -m universum poll
Minimum prerequisites (see documentation for details):
- OS Linux
- Python version 3.7 or greater
- Pip version 9.0 or greater
sudo pip3.7 install -U universum
or
pip3.7 install --user -U universum
Can also be installed with extras for using VCS, but they also require installing respective command-line tools, such as git or p4.
In order to prepare the development environment for the Universum, please fulfill the prerequisites,
and then use the commands listed below. Please note we use venv
to properly select
python interpreter version and to isolate development environment from the system.
Prerequisites:
-
Install all of the VCS extras as described in the Universum installation manual, (including installation of Git and P4 CLI)
-
Install Docker (
docker-ce
,docker-ce-cli
) as described in the official installation manual- Also add current user to 'docker' group (use
sudo usermod -a -G docker $USER
and then relogin)
- Also add current user to 'docker' group (use
-
Install Mozilla WebDriver:
sudo apt install firefox-geckodriver
Further commands:
python3.7 -m venv virtual-environment-python3.7
source ./virtual-environment-python3.7/bin/activate
git clone https://github.com/Samsung/Universum.git universum-working-dir
cd universum-working-dir
git checkout master
pip install -U .[test]
make images
And after this the pytest
or make test
commands can be executed (see below).
The [test]
extra will install/update the following additional Python modules:
* `sphinx`
* `sphinx-argparse` (extension for `Sphinx`)
* `sphinx_rtd_theme` (extension for `Sphinx`)
* `docker`
* `httpretty`
* `mock`
* `pytest`
* `pylint`
* `pytest-pylint`
* `teamcity-messages` (is not actually used in manual testing, but is there for CI)
* `pytest-cov`
* `coverage`
* `mypy`
* `types-requests`
* `selenium`
Although it is possible to get these modules via pip3.7 install -U universum[test]
, it might be more convenient
to checkout the Universum branch you are currently working on, change working directory to project root and
run a pip3.7 install -U .[test]
command from there for more flexibility. Using virtual environment (via venv
command) allows to separate test environment from system and provides even more control over additional modules.
Uninstalling Universum via pip uninstall universum
will not uninstall all the dependencies installed along with it.
Simply deleting the directory with virtual environment will leave the system completely cleaned of all changes.
Docker images used in tests can be built manually or using the make images
command.
Also make rebuild
command can be used to update images ignoring cache (e.g. to rerun apt update
).
Commands make images
and make rebuild
use Python version set in execution environment; to build images
for another supported Python version, please use environment variable PYTHON
, e.g.:
PYTHON=python3.8 make images
Currently the following values of the PYTHON
environment variable are supported:
'python3.6', 'python3.7' and 'python3.8'.
The make test
command runs all the tests (including the doctests) and collects coverage. Tests can also be launched
manually via pytest
command with any required options (such as -k
for running tests based on keywords
or -s
for showing the suppressed output).
To test Univesrum for all supported Python versions, please run:
pip install -U nox
cd universum-working-dir
nox
This will launch the testing scenario, described in noxfile.py
. This scenario includes rebuilding docker images
for every supported Python version and running all the tests for corresponding Python.
Also, setting up "REUSE_DOCKER_CONTAINERS" environment variable (or running tests in PyCharm) will let tests reuse already created and initialized containers, which speeds up the testing process. But do note that this is recommended for development purposes only. Without recreating containers, the remnants of previous test runs may affect the current test run.
universum
is main project folder, that is being copied to Python libraries location
(e.g. dist-packages
or site-packages
) when installed.
It contains __main__.py
script, that is the main entry point to the whole project.
It also contains the following modules:
-
main
/poll
/submit
/api
/nonci
- managing modules for different Universum modes -
configuration_support
- special module for configuring the project -
analyzers
directory is not quite a part of Universum itself. It contains independent scripts compatible with Universum for implementing static (and other types of) analysis support. -
lib
- utility functions librariesci_exception
- internal exceptionsmodule_arguments
- handles command line and other parametersgravity
- inter-module communicationutils
- miscellaneous
-
modules
- independent packagesapi_support
- 'main' mode module to answer API requestsautomation_server
- drivers for CI systems (e.g. Jenkins)artifact_collector
- implements build artifactscode_report_collector
- support for external 'code report' moduleslauncher
- executes build scenario, described in project configuration fileoutput
- drivers for environment-based logsproject_directory
- interaction with host file systemreporter
- interaction with code review systemsstructure_handler
- execution 'blocks' isolation, order, reporting, etc.vcs
- CI target sources preparation
Also there are 'base' modules/classes for driver implementation standardization, and 'main' modules/classes for automated driver choosing based on environment and settings.
doc
directory contains sources for project documentation. It can be generated
locally with running make
from root directory using Sphinx.
tests
directory contains test system, based on PyTest. Full tests can be started
from root directory via make tests
command, otherwise use standard PyTest syntax.
Commits failing any of project tests should not be merged into 'master' branch!
examples
contains various examples of project configuration files. Usage of such files
is illustrated in run_basic_example.sh
script.
setup.py
is 'setuptools' configuration file, and shouldn't be executed on its own.
-
Project only entry point (except 'analyzers') is
universum.py
. Based on chosen execution mode (default, submitting, polling, etc.) it calls one of 'main' modules, passing them all parameters -
Universum is a set of separate modules, each implementing its own piece of functionality. They are connected using special
gravity
library -
All classes, inherited from
Module
(defined ingravity
), automatically can:- use
Dependency
mechanism to use other modules - describe any module parameters in
define_arguments()
and receive them parsed viaself.settings
- use
-
configuration_support
is, in fact, an 'external' module, used not only by Universum, but by user configuration file for generating project configuration -
'Base' classes are virtual, not implementing any actual functionality, but describing the structure of inherited classes and ensuring they have all required functions that will be called by modules using them
Some additional details on how project is developed could be found in project review slides
Further versions of this README file should include:
- Notification on mandatory code review for all commits to master
- Notification on mandatory documenting of the newly added features
- Description of CI process, links to configurations/logs/build results/etc.