How to Write This Documentation¶
This documentation is created using Sphinx from reStructuredText source files. To improve existing documentation or to develop the new one you need to read at least the following chapters of the Sphinx documentation:
- Defining document structure.
- Adding content.
- Running the build.
- reStructuredText Primer.
- Sphinx Markup Constructs.
- Sphinx Domains (you can omit language specific domains).
Please, follow these advises:
- Do not think that other developers and especially users are so smart as you are.
- Clarify ambiguous things and describe all the details without missing anything.
- Avoid and fix misprints.
- Write each sentence on a separate line.
- Do not use blank lines except it is required.
- Write a new line at the end of each source file.
- Break sentences longer than 120 symbols to several lines if possible.
To develop documentation it is recommended to use some visual editor.
Please do not reinvent the wheel! If you are a newbie then examine carefully the existing documentation and create the new one on that basis. Just if you are a guru then you can suggest to improve the existing documentation.
Using Git Repository¶
Klever source code resides in the Git repository. There is plenty of very good documentation about Git usage. This section describes just rules specific for the given project.
Periodically synchronize your local repository with the main development repository (it is available just internally at ISP RAS):
branch $ git fetch origin branch $ git remote prune origin
This is especially required when you are going to create a new branch or to merge some branch to the master branch.
Pull changes if so:
branch $ git pull --rebase origin branch
Forget about pulling without rebasing!
Resolve conflicts if so.
Fixing Bugs and Implementing New Features¶
One must create a new branch to fix each individual bug or implement a new feature:
master $ git checkout -b fix-conf
Do not intermix fixes and implementation of completely different bugs and features into one branch. Otherwise other developers will need to wait or to make some tricky things like cherry-picking and merging of non-master branches. Eventually this can lead to very unpleasant consequences, e.g. the master branch can be broken because of one will merge there a branch based on another non working branch.
Push all new branches to the main development repository. As well re-push them at least one time a day if you make some commits:
fix-conf $ git push origin fix-conf
Merge the master branch into your new branches if you need some recent bug fixes or features:
fix-conf $ git merge master
Do not forget to update the master branch from the main development repository.
Do not merge remote-tracking branches.
Ask senior developers to review and to merge branches to the master branch when corresponding bugs/features are fixed/implemented.
Delete merged branches:
master $ git branch -d fix-conf
Generally we follow the same rules as for development of the Linux kernel.
Each several months a new release will be issued, e.g. 0.1, 0.2, 1.0.
Just after this a merge window of several weeks will be opened. During the merge window features implemented after a previous merge window or during the given one will be merged to master.
After the merge window just bug fixes can be merged to the master branch. During this period we can issue several release candidates, e.g. 1.0-rc1, 1.0-rc2.
In addition, after issuing a new release we can decide to support a stable branch. This branch will start from a commit corresponding to the given release. It can contain just bug fixes relevant to an existing functionality and not to a new one which is supported within a corresponding merge window.
Deployment for Development Purposes¶
To deploy Klever for development purposes in addition to using mode development (see Local Deployment) one needs to specify command-line option –allow-symbolic-links.
Using PyCharm IDE¶
To use PyCharm IDE for developing Klever follow the following steps.
- Download PyCharm Community from https://www.jetbrains.com/pycharm/download/ (below all settings are given for version 2017.1.1, you have to adapt them for your version by yourself).
- Follow installation instructions provided at that site.
At the “Welcome to PyCharm” window:
- Specify your preferences.
- Specify the absolute path to directory $KLEVER_SRC.
Configuring the Python Interpreter¶
- Select Python 3.4 or higher from the list and press Enter.
- Input Python 3 in field name.
- Ditto for core, deploys, docs, scheduler and utils.
Setting Run/Debug Configuration¶
Common run/debug configurations are included into the Klever project. Common configurations with names starting with $ should be copied to configurations with names without $ and adjusted in accordance with instructions below. If you want to adjust configurations with names that not starting with $ you also have to copy them before.
Klever Bridge Run/Debug Configuration¶
This is available just for PyCharm Professional.
- Specify 0.0.0.0 in field Host if you want to share your Klever Bridge to the local network.
- Specify your preferred port in field Port.
To make your Klever Bridge accessible from the local network you might need to set up your firewall accordingly.
Klever Core Run/Debug Configuration¶
This run/debug configuration is only useful if you are going to debug Klever Core.
Extend existing value of environment variable
PATHso that CIF (
compiler), Aspectator (
aspectator) and CIL (
cilly.asm.exe) binaries could be found (edit value of field Environment variables).
Specify the absolute path to the working directory in field Working directory.
Place Klever Core working directory somewhere outside the main development repository.
Klever Core will search for its configuration file
core.jsonin the specified working directory. Thus, the best workflow to debug Klever Core is to set its working directory to the one created previously when it was run without debugging. Besides, you can provide this file by passing its name as a first parameter to the script.
Documentation Run/Debug Configuration¶
Specify another representation of documenation in field Command if you need it.
Klever Bridge Testing¶
This is available just for PyCharm Professional.
manage.py@bridge > test
To start tests from console:
$ cd bridge $ python3 manage.py test
Another way to start tests from console:
$ python3 path/to/klever/bridge/manage.py test bridge users jobs reports marks service
The test database is created and deleted automatically. If the user will interrupt tests the test database will preserved and the user will be asked for its deletion for following testing. The user should be allowed to create databases (using command-line option –keedb does not help).
PyCharm has reach abilities to analyse tests and their results.