Skip to main content

💧 aioflo: a Python3, asyncio-friendly library for Flo Smart Water Detectors

CI PyPI Python versions License Code Coverage Maintainability Say Thanks

Buy Me A Coffee

aioflo is a Python 3, asyncio-friendly library for interacting with Flo by Moen Smart Water Detectors.

Installation

pip install aioflo

Usage

import asyncio
from datetime import datetime

from aioflo import async_get_api


async def main() -> None:
    """Run!"""
    api = await async_get_api("<EMAIL>", "<PASSWORD>")

    # Get user account information:
    user_info = await api.user.get_info()
    a_location_id = user_info["locations"][0]["id"]

    # Get location (i.e., device) information:
    location_info = await api.location.get_info(a_location_id)

    # Get device information
    first_device = location_info["devices"][0]
    first_device_id = first_device["id"]
    device_info = await api.device.get_info(first_device_id)

    # Get all alarms:
    alarms = await api.alarm.get_all()

    # Run a health test
    health_test_response = await api.device.run_health_test(first_device_id)

    # Close the shutoff valve
    close_valve_response = await api.device.close_valve(first_device_id)

    # Open the shutoff valve
    open_valve_response = await api.device.open_valve(first_device_id)

    # Get consumption info between a start and end datetime (location-wide aggregate):
    consumption_info = await api.water.get_consumption_info(
        a_location_id,
        datetime(2020, 1, 16, 0, 0),
        datetime(2020, 1, 16, 23, 59, 59, 999000),
    )

    # Scope consumption to a single device. Pass device_mac_address when a location
    # has multiple Flo devices; omit it for the location-wide total:
    device_consumption = await api.water.get_consumption_info(
        a_location_id,
        datetime(2020, 1, 16, 0, 0),
        datetime(2020, 1, 16, 23, 59, 59, 999000),
        device_mac_address=first_device["macAddress"],
    )

    # Get various other metrics related to water usage:
    metrics = await api.water.get_metrics(
        first_device["macAddress"],
        datetime(2020, 1, 16, 0, 0),
        datetime(2020, 1, 16, 23, 59, 59, 999000),
    )

    # Get recent Flo Detect water-flow events (near-real-time usage):
    events = await api.flodetect.get_events(
        first_device["macAddress"],
        to=datetime(2026, 7, 12, 10, 25, 4),
        limit=20,
    )
    # The payload groups events per device under items[].events. Flatten it:
    flow_events = api.flodetect.parse_events(events)
    # Each event has startAt, endAt, totalGal, duration, and predicted.displayText.

    # Set the device in "Away" mode:
    await api.location.set_mode_away(a_location_id)

    # Set the device in "Home" mode:
    await api.location.set_mode_home(a_location_id)

    # Set the device in "Sleep" mode for 120 minutes, then return to "Away" mode:
    await api.location.set_mode_sleep(a_location_id, 120, "away")


asyncio.run(main())

By default, the library creates a new connection to Flo 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:

import asyncio
from datetime import datetime

from aiohttp import ClientSession

from aioflo import async_get_api


async def main() -> None:
    """Create the aiohttp session and run the example."""
    async with ClientSession() as session:
        api = await async_get_api("<EMAIL>", "<PASSWORD>", session=session)

        # Tell Flo to get updated data from the device
        ping_response = await api.presence.ping()

        # Get user account information:
        user_info = await api.user.get_info()
        a_location_id = user_info["locations"][0]["id"]

        # Get location (i.e., device) information:
        location_info = await api.location.get_info(a_location_id)

        # Get device information
        first_device = location_info["devices"][0]
        first_device_id = first_device["id"]
        device_info = await api.device.get_info(first_device_id)

        # Get all alarms:
        alarms = await api.alarm.get_all()

        # Run a health test
        health_test_response = await api.device.run_health_test(first_device_id)

        # Close the shutoff valve
        close_valve_response = await api.device.close_valve(first_device_id)

        # Open the shutoff valve
        open_valve_response = await api.device.open_valve(first_device_id)

        # Get consumption info between a start and end datetime (location-wide aggregate):
        consumption_info = await api.water.get_consumption_info(
            a_location_id,
            datetime(2020, 1, 16, 0, 0),
            datetime(2020, 1, 16, 23, 59, 59, 999000),
        )

        # Scope consumption to a single device. Pass device_mac_address when a location
        # has multiple Flo devices; omit it for the location-wide total:
        device_consumption = await api.water.get_consumption_info(
            a_location_id,
            datetime(2020, 1, 16, 0, 0),
            datetime(2020, 1, 16, 23, 59, 59, 999000),
            device_mac_address=first_device["macAddress"],
        )

        # Get various other metrics related to water usage:
        metrics = await api.water.get_metrics(
            first_device["macAddress"],
            datetime(2020, 1, 16, 0, 0),
            datetime(2020, 1, 16, 23, 59, 59, 999000),
        )

        # Get recent Flo Detect water-flow events (near-real-time usage):
        events = await api.flodetect.get_events(
            first_device["macAddress"],
            to=datetime(2026, 7, 12, 10, 25, 4),
            limit=20,
        )
        # The payload groups events per device under items[].events. Flatten it:
        flow_events = api.flodetect.parse_events(events)
        # Each event has startAt, endAt, totalGal, duration, and predicted.displayText.

        # Set the device in "Away" mode:
        await api.location.set_mode_away(a_location_id)

        # Set the device in "Home" mode:
        await api.location.set_mode_home(a_location_id)

        # Set the device in "Sleep" mode for 120 minutes, then return to "Away" mode:
        await api.location.set_mode_sleep(a_location_id, 120, "away")


asyncio.run(main())

Moen SSO (Cognito) auth

The current Moen Smartwater app authenticates against Moen's SSO endpoint rather than the legacy Flo users/auth flow. use_sso=True opts into it: the access token is sent to api-gw.meetflo.com as a bearer token and is refreshed on expiry and on a 401, falling back to a full login if the refresh token is rejected.

api = await async_get_api("<EMAIL>", "<PASSWORD>", use_sso=True)

The legacy flow is the default and is unchanged. The legacy endpoint still works, so this is cover for it being retired rather than a fix for a current failure.

Release files for aioflo 2026.9.4

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for aioflo 2026.9.4
File Size Uploaded
aioflo-2026.9.4.tar.gz 12.1 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for aioflo 2026.9.4
File Interpreter ABI Platform
aioflo-2026.9.4-py3-none-any.whl Python 3 none any Details

Total release size: 27.3 kB

Release files / aioflo-2026.9.4.tar.gz

Download URL aioflo-2026.9.4.tar.gz
Size 12.1 kB
Tags Source
SHA-256 checksum
How to use checksums
fe1b18114fcce556d2e16e741091d8ff0af2087aecc499da0c9156f15beca005
BLAKE2b-256 checksum
How to use checksums
1234127dc1f6d802a2122bd8ad650624fbc1dc71c079c0fc515ec2ed52ab57f2
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via poetry/2.5.1 CPython/3.13.15 Linux/6.17.0-1022-azure

Release files / aioflo-2026.9.4-py3-none-any.whl

Download URL aioflo-2026.9.4-py3-none-any.whl
Size 15.2 kB
Tags Python 3
SHA-256 checksum
How to use checksums
1953566ce315511e6b9d4a84e86c6f53550bbcb7b7c30cdf585641c6a51d7918
BLAKE2b-256 checksum
How to use checksums
cc339910125349d1f48b5c9797b308d51776b90282639bf87c91e511e866f9d1
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via poetry/2.5.1 CPython/3.13.15 Linux/6.17.0-1022-azure

Release history Release notifications | RSS feed

This release

2026.9.4 This release

2 release files

0.4.3

2 release files

0.4.2

2 release files

0.4.1

2 release files

0.4.0

2 release files

0.3.0

2 release files

0.2.0

2 release files

0.1.5

2 release files

0.1.4

2 release files

0.1.0

2 release files

0.0.1

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page