Simple, lightweight and scalable Python API wrapper for the Cisco Spark APIs
Project description
# ciscosparkapi
Simple, lightweight and scalable Python API wrapper for the Cisco Spark APIs
## Overview
A single Pythonic wrapper class representing the Cisco Spark API interfaces and returned JSON objects as method calls that return native Python objects.
* Leverages generator containers and RFC5988 web linking to provide simple and efficient 'paging' of Cisco Spark data objects returned by the Cisco Spark clout.
* All Cisco Spark JSON objects and attributes are represented as native python objects.
* As new Cisco Spark attributes are added and returned by the Spark cloud service, they will be automatically available in the respective Python objects - no library update required.
* New object types can be quickly created and modeled by via the generic SparkData class, or you can easily subclass SparkData to provide additional functionality.
* The CiscoSparkAPI class facilitates the creation of simple 'connection objects' that are associated with the access_token used to create the object. All API calls are wrapped by this single class, and are available via a simple hierarchical structure - like api.rooms.list().
* API defaults are provided to make getting connected simple, and can be easily overridden if needed.
* The only setting required to get connected is your Cisco Spark Access Token (see [developer.ciscospark.com](https://developer.ciscospark.com/getting-started.html)).
* All API calls are provided as simple method calls on the API connection objects.
### Examples
```python
import os
from ciscosparkapi import CiscoSparkAPI
access_token = os.environ['SPARK_ACCESS_TOKEN']
api = CiscoSparkAPI(access_token, timeout=60)
rooms = api.rooms.list() # Returns an generator container providing support for RFC5988 paging
for room in rooms: # Efficiently iterates through returned objects
print room.title # JSON objects are represented as native Python objects
# Creating a list from the returned generator containers is easy
team_list = list(api.teams.list())
print team_list
```
## Community Development Project Information
This is a collaborative community development project to create two packages to be published to the Python Package Index:
1. [**ciscosparkapi**](https://github.com/CiscoDevNet/ciscosparkapi) - A simple, scalable and lightweight API wrapper for the Cisco Spark services APIs
2. [**ciscosparksdk**](https://github.com/CiscoDevNet/ciscosparksdk) - Additional features and functionality useful to Cisco Spark API developers
All are welcome to contribute to this project. Information on contributing this project can be found [here in the project Charter](https://github.com/CiscoDevNet/spark-python-packages-team/blob/master/Charter.md).
## Current Status
**Wrappers for all Cisco API endpoints and data objects have now been completed!**
_Beta release imminent._
We are preparing to release the first _beta_ for this package. Please test out the package for your use cases, and raise issues for any problems you encounter. Also, **PLEASE** create new issues to provide feedback and foster discussion on the package API structure (names, method calls and etc.). The package APIs are still subject to change, and I would like to get these nailed down before we release v1 for the package.
Simple, lightweight and scalable Python API wrapper for the Cisco Spark APIs
## Overview
A single Pythonic wrapper class representing the Cisco Spark API interfaces and returned JSON objects as method calls that return native Python objects.
* Leverages generator containers and RFC5988 web linking to provide simple and efficient 'paging' of Cisco Spark data objects returned by the Cisco Spark clout.
* All Cisco Spark JSON objects and attributes are represented as native python objects.
* As new Cisco Spark attributes are added and returned by the Spark cloud service, they will be automatically available in the respective Python objects - no library update required.
* New object types can be quickly created and modeled by via the generic SparkData class, or you can easily subclass SparkData to provide additional functionality.
* The CiscoSparkAPI class facilitates the creation of simple 'connection objects' that are associated with the access_token used to create the object. All API calls are wrapped by this single class, and are available via a simple hierarchical structure - like api.rooms.list().
* API defaults are provided to make getting connected simple, and can be easily overridden if needed.
* The only setting required to get connected is your Cisco Spark Access Token (see [developer.ciscospark.com](https://developer.ciscospark.com/getting-started.html)).
* All API calls are provided as simple method calls on the API connection objects.
### Examples
```python
import os
from ciscosparkapi import CiscoSparkAPI
access_token = os.environ['SPARK_ACCESS_TOKEN']
api = CiscoSparkAPI(access_token, timeout=60)
rooms = api.rooms.list() # Returns an generator container providing support for RFC5988 paging
for room in rooms: # Efficiently iterates through returned objects
print room.title # JSON objects are represented as native Python objects
# Creating a list from the returned generator containers is easy
team_list = list(api.teams.list())
print team_list
```
## Community Development Project Information
This is a collaborative community development project to create two packages to be published to the Python Package Index:
1. [**ciscosparkapi**](https://github.com/CiscoDevNet/ciscosparkapi) - A simple, scalable and lightweight API wrapper for the Cisco Spark services APIs
2. [**ciscosparksdk**](https://github.com/CiscoDevNet/ciscosparksdk) - Additional features and functionality useful to Cisco Spark API developers
All are welcome to contribute to this project. Information on contributing this project can be found [here in the project Charter](https://github.com/CiscoDevNet/spark-python-packages-team/blob/master/Charter.md).
## Current Status
**Wrappers for all Cisco API endpoints and data objects have now been completed!**
_Beta release imminent._
We are preparing to release the first _beta_ for this package. Please test out the package for your use cases, and raise issues for any problems you encounter. Also, **PLEASE** create new issues to provide feedback and foster discussion on the package API structure (names, method calls and etc.). The package APIs are still subject to change, and I would like to get these nailed down before we release v1 for the package.
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