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cubicweb-narval-4.2.3
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the Narval agent
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | cubicweb-narval-4.2.3 |
| نام | cubicweb-narval |
| نسخه کتابخانه | 4.2.3 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | LOGILAB S.A. (Paris, FRANCE) |
| ایمیل نویسنده | contact@logilab.fr |
| آدرس صفحه اصلی | http://www.cubicweb.org/project/cubicweb-narval |
| آدرس اینترنتی | https://pypi.org/project/cubicweb-narval/ |
| مجوز | LGPL |
========
Narval
========
Summary
=======
Narval is a CubicWeb based framework to run automated tests. It
consists in 2 parts:
- the narval cube which implements the schema and some web UIs to
create, configure and run test campaigns, and
- the narval bot which waits for jobs to execute. It polls the
CubicWeb application for new tasks to run (called Plans in narval's
jargon), and executes them when some are waiting for exectution.
The narval bot communicates with the web application by doing HTTP(S)
requests.
Recipe and Plan
===============
The schema of the cube defines 2 entities:
:Recipe:
represents a Python script to be executed to run the tests,
:Plan: represents the execution of a Recipe; it has a workflow (with
the following states: 'ready', 'running', 'done', 'error',
'killed'); when executed, the execution log file (stdout and
stderr) of the recipe is attached to the `Plan` (via the
`execution_log` relation).
Execution process of a Recipe
=============================
In order to run a `Recipe`, one must create a `Plan` (an execution
plan).
In the web UI, this can be done via the `Start Plan` button on a `Recipe` main
view. This creates a new `Plan` entity (which references the `Recipe`) in the
`ready` state.
Then, as soon as the narval bot asks the application for waiting jobs
(i.e. `Plan` in the `ready` workflow state), it eventually gets the
`Plan` eid.
The narval daemon then spawns a new process to manage the execution of
the plan in a separate process; the executed command is something like::
narval run-plan narval https://webapp.com/3071/ --uid narval --threads 1 --max-reprieve 1min --log-threshold DEBUG
where `3071` is the eid of the `Plan` to be executed. The `options`
attribute of the `Plan` (which is a string of the form:
`"key1=value1\nkey2=value2n[...]"`) is converted into command line
arguments (`--key1 value1 --key2 value2 [...]`) to be passed to the
`run-plan` command.
This `run-plan` narval command retrieves the parameters of the `Plan`
(the Python code to be executed and some execution options), then:
- it fires the `start` workflow transition (by means of a HTTP request),
- it executes the `Recipe` Python script (by means of an `execfile`
call); the script is executed with a globals (and locals)
dictionary defining one variable, `plan`, which references a Python
object having the folowing attributes:
- `cnxh`: an HTTP connection handler allowing to make requests to the
web application from the executed script,
- `plandata`: a dictionary holding the executed `Plan` parameters,
- `options`: a dictionary with all defined options of the `Plan`,
- `name`: the name of the `Recipe` to be executed,
- `script`: a string with the Python script to run.
Warning: the Python script is executed in the context of the
`run-plan` Python process.
- it fires the transition:
- `end` if the execution went fine (did not crash),
- `kill` if the execution exceeded some resource limits (memory, execution time),
- `fail` if some uncatched Exception has been raised.
When the `narval run-plan` shell command returns, the `bot` checks for
the return code, retrieves the `stdout` and `stderr` of the process and
uploads them as the `execution_log` of the `Plan`, so the user can have
access to the full execution log (print statements, logging messages,
etc.).
Plugins
=======
User can write plugins that will be importable from recipes when
executed by ``narval run-plan``. The normal way is to write a cubicweb
cube in which you add a ``_narval`` directory where you can add python
modules and packages. When run from source directory, the ``_narval``
directory of every available cube will be added in the PYTHONPATH of
the ``narval`` command.
Please refer to the apycot_ cube as an example.
.. _apycot: http://www.cubiweb.org/project/apycot
نحوه نصب
نصب پکیج whl cubicweb-narval-4.2.3:
pip install cubicweb-narval-4.2.3.whl
نصب پکیج tar.gz cubicweb-narval-4.2.3:
pip install cubicweb-narval-4.2.3.tar.gz