معرفی شرکت ها
codet-swaggerpy-0.2.1
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشترتوضیحات
Library for accessing Swagger-enabled API's
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | codet-swaggerpy-0.2.1 |
| نام | codet-swaggerpy |
| نسخه کتابخانه | 0.2.1 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | Digium, Inc. |
| ایمیل نویسنده | dlee@digium.com |
| آدرس صفحه اصلی | https://github.com/digium/swagger-py |
| آدرس اینترنتی | https://pypi.org/project/codet-swaggerpy/ |
| مجوز | BSD 3-Clause License |
**ORIGINAL REPO:** [digium/swagger-py](https://github.com/digium/swagger-py.git)
About
-----
Swagger.py is a Python library for using
`Swagger ` [codet-swaggerpy](https://github.com/Thulebona/codet-swaggerpy.git) __ defined API's.
Swagger itself is best described on the Swagger home page:
Swagger is a specification and complete framework implementation for
describing, producing, consuming, and visualizing RESTful web
services.
The `Swagger
specification <https://github.com/wordnik/swagger-core/wiki>`__ defines
how API's may be described using Swagger.
Swagger.py also supports a WebSocket extension, allowing a WebSocket to
be documented, and auto-generated WebSocket client code.
python -v
---------
Python3
Usage
-----
Install the latest release from PyPI.
::
$ sudo pip install codet-swaggerpy
Or install from source using the ``setup.py`` script.
::
$ pip install -e ./
API
===
Swagger.py will dynamically build an object model from a Swagger-enabled
RESTful API.
Here is a simple example using the `Asterisk REST
Interface <https://wiki.asterisk.org/wiki/display/AST/Asterisk+12+ARI>`__
.. code:: Python
#!/usr/bin/env python
import json
from swaggerpy.client import SwaggerClient
from swaggerpy.http_client import SynchronousHttpClient
http_client = SynchronousHttpClient()
http_client.set_basic_auth('localhost', 'hey', 'peekaboo')
ari = SwaggerClient(
"http://localhost:8088/ari/api-docs/resources.json",
http_client=http_client)
ws = ari.events.eventWebsocket(app='hello')
for msg_str in iter(lambda: ws.recv(), None):
msg_json = json.loads(msg_str)
if msg_json['type'] == 'StasisStart':
channelId = msg_json['channel']['id']
ari.channels.answer(channelId=channelId)
ari.channels.play(channelId=channelId,
media='sound:hello-world')
ari.channels.continueInDialplan(channelId=channelId)
swagger-codegen
===============
There are the beginnings of a Mustache-based code generator, but it's
not functional... yet.
.. Inspired by the original [swagger-codegen][] project, templates are
written using [Mustache][] templates ([Pystache][], specifically).
There are several important differences.
* The model that is fed into the mustache templates is almost
identical to Swagger's API resource listing and API declaration
model. The differences are listed [below](#model).
* The templates themselves are completely self contained, with the
logic to enrich the model being specified in `translate.py` in the
same directory as the `*.mustache` files.
Data model
==========
The data model presented by the ``swagger_model`` module is nearly
identical to the original Swagger API resource listing and API
declaration. This means that if you add extra custom metadata to your
docs (such as a ``_author`` or ``_copyright`` field), they will carry
forward into the object model. I recommend prefixing custom fields with
an underscore, to avoid collisions with future versions of Swagger.
There are a few meaningful differences.
- Resource listing
- The ``file`` and ``base_dir`` fields have been added, referencing the
original ``.json`` file.
- The objects in a ``resource_listing``'s ``api`` array contains a
field ``api_declaration``, which is the processed result from the
referenced API doc.
- API declaration
- A ``file`` field has been added, referencing the original ``.json``
file.
Development
-----------
The code is documented using `Sphinx <http://sphinx-doc.org/>`__, which
allows `IntelliJ IDEA <http://confluence.jetbrains.net/display/PYH/>`__
to do a better job at inferring types for autocompletion.
To keep things isolated, I also recommend installing (and using)
`virtualenv <http://www.virtualenv.org/>`__.
::
$ sudo pip install virtualenv
$ mkdir -p ~/virtualenv
$ virtualenv ~/virtualenv/swagger
$ . ~/virtualenv/swagger/bin/activate
`Setuptools <http://pypi.python.org/pypi/setuptools>`__ is used for
building. `Nose <http://nose.readthedocs.org/en/latest/>`__ is used
for unit testing, with the `coverage
<http://nedbatchelder.com/code/coverage/>`__ plugin installed to
generated code coverage reports. Pass ``--with-coverage`` to generate
the code coverage report. HTML versions of the reports are put in
``cover/index.html``.
::
$ ./setup.py develop # prep for development (install deps, launchers, etc.)
$ ./setup.py test # run unit tests
$ ./setup.py bdist_egg # build distributable
License
-------
Copyright (c) 2013, Digium, Inc. All rights reserved.
Swagger.py is licensed with a `BSD 3-Clause
License <http://opensource.org/licenses/BSD-3-Clause>`__.
نحوه نصب
نصب پکیج whl codet-swaggerpy-0.2.1:
pip install codet-swaggerpy-0.2.1.whl
نصب پکیج tar.gz codet-swaggerpy-0.2.1:
pip install codet-swaggerpy-0.2.1.tar.gz