Skip to main content

A simple API for RainMachine sprinkler controllers

Project description

Regenmaschine: A Simple Python Library for RainMachine™

https://travis-ci.org/bachya/regenmaschine.svg?branch=master https://img.shields.io/pypi/v/regenmaschine.svg https://img.shields.io/pypi/pyversions/Regenmaschine.svg https://img.shields.io/pypi/l/Regenmaschine.svg https://codecov.io/gh/bachya/regenmaschine/branch/master/graph/badge.svg https://img.shields.io/codeclimate/github/bachya/regenmaschine.svg https://img.shields.io/badge/SayThanks-!-1EAEDB.svg

Regenmaschine (German for “rain machine”) is a simple, clean, well-tested Python library for interacting with RainMachine™ smart sprinkler controllers. It gives developers an easy API to manage their controllers over a LAN or via RainMachine™’s cloud.

💧 Installation

$ pip install regenmaschine

💧 Usage

Authentication & Creating a Client

Authentication is the first step and an be done against the local device or the cloud API:

import regenmaschine as rm

# Using the local API:
auth = rm.Authenticator.create_local('<DEVICE_IP_ADDRESS>', '<PASSWORD>')

# Using the remote API:
auth = rm.Authenticator.create_remote('<EMAIL ADDRESS>', '<PASSWORD>')

If authentication is successful, this auth object can then be used to create a client:

client = rm.Client(auth)

Diagnostics

More info on responses, etc: http://docs.rainmachine.apiary.io/#reference/diagnostics

client.diagnostics.current() # Returns current diagnostic info
client.diagnostics.log()     # Returns entire device log

Programs

More info on responses, etc: http://docs.rainmachine.apiary.io/#reference/programs

client.programs.all()     # Returns all program info
client.programs.get(1)    # Returns info about program with UID of 1
client.programs.next()    # Returns the next run date/time for all programs
client.programs.running() # Returns all running programs
client.programs.start(7)  # Starts program 7
client.programs.stop(7)   # Stops program 7

Restrictions

More info on responses, etc: http://docs.rainmachine.apiary.io/#reference/restrictions

client.restrictions.current()   # Returns currently active restrictions
client.restrictions.hourly()    # Returns restrictions over the next hour
client.restrictions.raindelay() # Returns all restrictions due to rain
client.restrictions.universal() # Returns the global list of restrictions

Stats

More info on responses, etc: http://docs.rainmachine.apiary.io/#reference/daily-stats

client.stats.on_date('6/29/2017')           # Returns all stats for a date
client.stats.on_date('2017-06-29')          # Returns all stats for a date
client.stats.on_date('1 week ago')          # Returns all stats for a date
client.stats.upcoming()                     # Returns expected stats for the next 7 days
client.stats.upcoming(include_details=True) # Deeper look at the next 7 days

Watering

More info on responses, etc: http://docs.rainmachine.apiary.io/#reference/watering

client.watering.log()                              # Returns log of all watering
client.watering.log(details=True)                  # Returns full log of all watering
client.watering.log('6/29/2017', 2)                # Returns log for 6/27-6/29
client.watering.log('2017-06-29', 2)               # Returns log for 6/27-6/29
client.watering.log('2017-06-29', 2, details=True) # Returns full log for 6/27-6/29
client.watering.log('2 days ago', 3)               # Returns log 2-5 days ago

client.watering.queue()                            # Returns the active queue of watering activities
client.watering.runs('6/29/2017', 2)               # Alternate view of log()
client.watering.runs('2017-06-29', 2)              # Alternate view of log()
client.watering.runs('2 days ago', 3)              # Alternate view of log()
client.watering.stop_all()                         # Immediately stops all programs and zones

Weather Services

More info on responses, etc: http://docs.rainmachine.apiary.io/#reference/weather-services

client.parsers.current() # Returns current weather services being used

Zones

More info on responses, etc: http://docs.rainmachine.apiary.io/#reference/zones

client.zones.all()                   # Returns all zone info
client.zones.all(properties=True)    # Returns advanced info for all zones
client.zones.get(2)                  # Returns info about a zone with UID of 2
client.zones.get(2, properties=True) # Returns advanced info about zone 2
client.zones.start(3, 60)            # Starts zone 3 for 60 seconds
client.zones.stop(3)                 # Stops zone 3

# You can also simulate what a zone will do:
properties = client.zones.get(2, properties=True)
client.zones.simulate(properties)

Authentication Caching

There doesn’t appear to be a limit on the number of times RainMachine™ will allow new access tokens to be generated. However, it may be desirable to use the same credentials long term. Therefore, the auth object can be dumped and saved:

# Outputs a dict:
auth_json = auth.dump()

# Outputs a string version of the dict:
auth_str = auth.dumps()

The auth object contains the access token used to authenticate API requests, as well as an expiration timeframe and more:

{
  "sprinkler_id": None,
  "cookies": {
    "access_token": "24551da62895"
  },
  "api_url": "https://192.168.1.100:8080/api/4",
  "url": "https://192.168.1.100:8080/api/4",
  "checksum": u "c5e29cdef3b1e",
  "expires_in": 157680000,
  "api_endpoint": "auth/login",
  "access_token": u "24551da62895",
  "verify_ssl": False,
  "session": None,
  "expiration": u "Fri, 01 Jul 2022 20:11:48 GMT",
  "timeout": 10,
  "status_code": 0,
  "using_remote_api": False,
  "data": {
    "pwd": "MY_RM_PASSWORD",
    "remember": 1
  }
}

TAKE NOTE: the dumped auth object contains the access token needed to query the API, sprinkler IDs, RainMachine™ credentials, and other sensitive information. Therefore, it should be cached and stored securely.

One common use of this mechanism would be to check the expiration date of the access token; assuming it is still valid, a corresponding client can be recreated quite easily:

auth = rm.Authenticator.load(auth_json)
# ...or...
auth = rm.Authenticator.loads(auth_str)

client = rm.Client(auth)

Exceptions

Regenmaschine relies on two other libraries: Requests and Maya; as such, Regenmaschine may raise any of the exceptions that they provide.

Beyond that, Regenmaschine defines a few exceptions of its own:

  • regenmaschine.exceptions.BrokenAPICall: returned when an API call only works on the local or remote APIs, but not both

  • regenmaschine.exceptions.InvalidAuthenticator: returned when invalid authentication data is fed into regenmaschine.Authenticator.load() or regenmaschine.Authenticator.loads()

💧 Contributing

  1. Check for open features/bugs or initiate a discussion on one.

  2. Fork the repository.

  3. Install the dev environment: make init.

  4. Enter the virtual environment: pipenv shell

  5. Code your new feature or bug fix.

  6. Write a test that covers your new functionality.

  7. Run tests: make test

  8. Build new docs: make docs

  9. Add yourself to AUTHORS.rst.

  10. Submit a pull request!

Project details


Release history Release notifications | RSS feed

This version

0.2.4

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

regenmaschine-0.2.4.tar.gz (11.9 kB view hashes)

Uploaded Source

Built Distribution

regenmaschine-0.2.4-py2.py3-none-any.whl (16.9 kB view hashes)

Uploaded Python 2 Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page