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Python module for Spark devices

Project Description

Spyrk

Python module for Spark devices.

Use it as follow:

from spyrk import SparkCloud

USERNAME = 'he.ho@example.com'
PASSWORD = 'pasSs'
ACCESS_TOKEN = '12adza445452d4za524524524d5z2a4'

spark = SparkCloud(USERNAME, PASSWORD)
# Or
spark = SparkCloud(ACCESS_TOKEN)

# List devices
print spark.devices

# Access device
spark.devices['captain_hamster']
# Or, shortcut form
spark.captain_hamster

# List functions and variables of a device
print spark.captain_hamster.functions
print spark.captain_hamster.variables

# Tell if a device is connected
print spark.captain_hamster.connected

# Call a function
spark.captain_hamster.digitalwrite('D7', 'HIGH')
print spark.captain_hamster.analogread('A0')
# (or any of your own custom function)

# Get variable value
spark.captain_hamster.myvariable

Currently supporting:

  • Initialisation by username/password (generating a new access token every time).
  • Initialisation by access token (get it from the Build Web IDE).
  • Automatic discovery of devices.
  • Automatic discovery of functions and variables in a device.
  • Calling a function.
  • Accessing a variable value.

Not yet supported:

  • Subscribing and publishing events
  • Any PUT method of the API (like uploading a firmware or application.cpp). That would be cool though.

Installation

$ pip install spyrk

Licensing and contributions

Spyrk is licensed under LGPLv3 and welcome contributions following the C4.1 - Collective Code Construction Contract process.

Individual Contributors

A list of people who have contributed to Spyrk in order of their first contribution.

Format: Name-or-Well-known-alias <email@domain.tld> (url)

Please, add yourself when you contribute!

CHANGELOG

0.0.3 - ?

  • Fixed Python 3 support

0.0.2 - 30 July 2014

  • Complying to Flake8 code-style checker
  • Added accessing variable value
  • Added requires_deep_update to Device declaration
  • Fixed logging in bug and updated to support requires_deep_update value for the device
  • Added setup.py and refactored main package as Spyrk.SparkCloud

0.0.1 - 26 January 2014

  • Initial dump of code

Release history Release notifications

This version
History Node

0.0.4

History Node

0.0.3

History Node

0.0.2

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