A simple API for RainMachine sprinkler controllers
Project description
💧 Regenmaschine: A Simple Python Library for RainMachine™
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 their local LAN or remotely via the RainMachine™
cloud.
- Remote Access Announcement
- Python Versions
- Installation
- Usage
- Loading Controllers Multiple Times
- Contributing
Remote Access Announcement (2022-06-26)
On June 2, 2022, RainMachine announced a Premium Services addition; under this new model, remote access is only available to subscribers of these Premium Services.
I do not currently intend to subscribe to Premium Services; as such, the remote access
abilities of regenmaschine
will remain as-is from here on out unless spurred on by
others. They may stop working at any time. PRs from subscribing users are always
welcome.
Python Versions
regenmaschine
is currently supported on:
- Python 3.10
- Python 3.11
- Python 3.12
Installation
pip install regenmaschine
Usage
Creating a regenmaschine
Client
might be the easiest thing you do all day:
import asyncio
from aiohttp import ClientSession
from regenmaschine import Client
async def main() -> None:
"""Run!"""
client = Client()
# ...
asyncio.run(main())
By default, the library creates a new connection to the sprinkler controller with each
coroutine. If you are calling a large number of coroutines (or merely want to squeeze
out every second of runtime savings possible), an aiohttp
ClientSession
can
be used for connection pooling:
See the module docstrings throughout the library for full info on all parameters, return types, etc.
import asyncio
from aiohttp import ClientSession
from regenmaschine import Client
async def main() -> None:
"""Run!"""
async with ClientSession() as session:
client = Client(session=session)
asyncio.run(main())
Loading Local (Accessible Over the LAN) Controllers
Once you have a client, you can load a local controller (i.e., one that is accessible over the LAN) very easily:
import asyncio
from aiohttp import ClientSession
from regenmaschine import Client
async def main() -> None:
"""Run!"""
async with ClientSession() as session:
client = Client(session=session)
await client.load_local("192.168.1.101", "my_password", port=8080, use_ssl=True)
controllers = client.controllers
# >>> {'ab:cd:ef:12:34:56': <LocalController>}
asyncio.run(main())
Loading Remote (Accessible Over the RainMachine Cloud) Controllers
If you have 1, 2 or 100 other local controllers, you can load them in the same
way – client.controllers
will keep your controllers all organized.
What if you have controllers around the world and can't access them all over
the same local network? No problem! regenmaschine
allows you to load remote
controllers very easily, as well:
import asyncio
from aiohttp import ClientSession
from regenmaschine import Client
async def main() -> None:
"""Run!"""
async with ClientSession() as session:
client = Client(session=session)
await client.load_remote("rainmachine_email@host.com", "my_password")
controllers = client.controllers
# >>> {'xx:xx:xx:xx:xx:xx': <RemoteController>, ...}
asyncio.run(main())
Bonus tip: client.load_remote
will load all controllers owned by that email
address.
Using the Controller
Regardless of the type of controller you have loaded (local or remote), the same properties and methods are available to each:
import asyncio
import datetime
from aiohttp import ClientSession
from regenmaschine import Client
async def main() -> None:
"""Run!"""
async with ClientSession() as session:
client = Client(session=session)
# Load a local controller:
await client.load_local("192.168.1.101", "my_password", port=8080, use_ssl=True)
# Load all remote controllers associated with an account:
await client.load_remote("rainmachine_email@host.com", "my_password")
# They all act the same! The only difference is that remote API calls
# will pass through the RainMachine™ cloud:
for mac_address, controller in client.controllers:
# Print some client properties:
print(f"Name: {controller.name}")
print(f"Host: {controller.host}")
print(f"MAC Address: {controller.mac}")
print(f"API Version: {controller.api_version}")
print(f"Software Version: {controller.software_version}")
print(f"Hardware Version: {controller.hardware_version}")
# Get all diagnostic information:
diagnostics = await controller.diagnostics.current()
# Get all weather parsers:
parsers = await controller.parsers.current()
# Get all programs:
programs = await controller.programs.all()
# Include inactive programs:
programs = await controller.programs.all(include_inactive=True)
# Get a specific program:
program_1 = await controller.programs.get(1)
# Enable or disable a specific program:
await controller.programs.enable(1)
await controller.programs.disable(1)
# Get the next run time for all programs:
runs = await controller.programs.next()
# Get all running programs:
programs = await controller.programs.running()
# Start and stop a program:
await controller.programs.start(1)
await controller.programs.stop(1)
# Get basic details about all zones:
zones = await controller.zones.all()
# Get advanced details about all zones:
zones = await controller.zones.all(details=True)
# Include inactive zones:
zones = await controller.zones.all(include_inactive=True)
# Get basic details about a specific zone:
zone_1 = await controller.zones.get(1)
# Get advanced details about a specific zone:
zone_1 = await controller.zones.get(1, details=True)
# Enable or disable a specific zone:
await controller.zones.enable(1)
await controller.zones.disable(1)
# Start a zone for 60 seconds:
await controller.zones.start(1, 60)
# ...and stop it:
await controller.zones.stop(1)
# Get all running zones:
programs = await controller.zones.running()
# Get the device name:
name = await controller.provisioning.device_name
# Get all provisioning settings:
settings = await controller.provisioning.settings()
# Get all networking info related to the device:
wifi = await controller.provisioning.wifi()
# Get various types of active watering restrictions:
current = await controller.restrictions.current()
universal = await controller.restrictions.universal()
hourly = await controller.restrictions.hourly()
raindelay = await controller.restrictions.raindelay()
# Set universal restrictions – note that the payload is the same structure
# as returned by controller.restrictions.universal():
await controller.restrictions.set_universal(
{
"hotDaysExtraWatering": False,
"freezeProtectEnabled": True,
}
)
# Get watering stats:
today = await controller.stats.on_date(datetime.date.today())
upcoming_days = await controller.stats.upcoming(details=True)
# Get info on various watering activities not already covered:
log = await controller.watering.log(datetime.date.today(), 2)
queue = await controller.watering.queue()
runs = await controller.watering.runs(datetime.date.today())
# Pause all watering activities for 30 seconds:
await controller.watering.pause_all(30)
# Unpause all watering activities:
await controller.watering.unpause_all()
# Stop all watering activities:
await controller.watering.stop_all()
# See if a firmware update is available:
update_data = await controller.machine.get_firmware_update_status()
# ...and request the update:
update_data = await controller.machine.update_firmware()
# Reboot the controller:
update_data = await controller.machine.reboot()
# Return the current flow meter data:
flowmeter = await controller.watering.flowmeter()
# Add values to flowmeter counters from an external smart water meter
# not wired directly to the controller.
# Units can be "clicks", "gal", "m3" and "litre".
await controller.watering.post_flowmeter({"value": 2000, "units": "clicks"})
asyncio.run(main())
Check out example.py
, the tests, and the source files themselves for method
signatures and more examples. For additional reference, the full RainMachine™ API
documentation is available here.
Loading Controllers Multiple Times
It is technically possible to load a controller multiple times. Let's pretend for a moment that:
- We have a local controller named
Home
(available at192.168.1.101
). - We have a remote controller named
Grandma's House
. - Both controllers live under our email address:
user@host.com
If we load them thus:
import asyncio
from aiohttp import ClientSession
from regenmaschine import Client
async def main() -> None:
"""Run!"""
async with ClientSession() as session:
client = Client(session=session)
# Load "Home" locally:
await client.load_local("192.168.1.101", "my_password")
# Load all of my controllers remotely:
await client.load_remote("user@host.com", "my_password")
asyncio.run(main())
...then we will have the following:
Home
will be aLocalController
and accessible over the LAN.Grandma's House
will be aRemoteController
and accessible only over the RainMachine™ cloud.
Notice that regenmaschine
is smart enough to not overwrite a controller that
already exists: even though Home
exists as a remote controller owned by
user@host.com
, it had already been loaded locally. By default,
regenmaschine
will only load a controller if it hasn't been loaded before
(locally or remotely). If you want to change this behavior, both load_local
and load_remote
accept an optional skip_existing
parameter:
import asyncio
from aiohttp import ClientSession
from regenmaschine import Client
async def main() -> None:
"""Run!"""
async with ClientSession() as session:
client = Client(session=session)
# Load all of my controllers remotely:
await client.load_remote("user@host.com", "my_password")
# Load "Home" locally, overwriting the existing remote controller:
await client.load_local("192.168.1.101", "my_password", skip_existing=False)
asyncio.run(main())
Contributing
Thanks to all of our contributors so far!
- Check for open features/bugs or initiate a discussion on one.
- Fork the repository.
- (optional, but highly recommended) Create a virtual environment:
python3 -m venv .venv
- (optional, but highly recommended) Enter the virtual environment:
source ./.venv/bin/activate
- Install the dev environment:
script/setup
- Code your new feature or bug fix on a new branch.
- Write tests that cover your new functionality.
- Run tests and ensure 100% code coverage:
poetry run pytest --cov regenmaschine tests
- Update
README.md
with any new documentation. - Submit a pull request!
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