Skip to main content

hiveheating

CI PyPI License

An async Python library for the Hive smart home platform. It exists to power tomwilkie/ha-hive, a fork of the Hive integration for Home Assistant, and exposes exactly what that integration needs: Hive heating and hot water.

This library is a hard fork of Pyhass/Pyhive, cut down to what the ha-hive integration needs and restarted at version 0.0.1. It was called pyhive-integration until v0.1.5 and apyhiveapi until v0.2.1; since v0.3.0 it is hiveheating, on PyPI and as the import name. Upstream's pyhive-integration, which Home Assistant ships for its built-in Hive integration, installs its own apyhiveapi and pyhiveapi packages, and sharing a folder with them broke imports.


Features

  • Async only, built on aiohttp
  • AWS Cognito SRP authentication with SMS two-factor authentication support
  • Automatic token refresh at 90% of token lifetime, with a silent re-login when the refresh token is rejected
  • Mirrors Hive's own API: get_nodes() is GET /nodes/all, and each command (set_mode, set_target_temperature, set_heating_boost, set_hot_water_boost) is one POST /nodes/{type}/{id}. There is no polling timer and no cached state; the caller decides when to fetch
  • Typed, frozen snapshots of heating and hot water products and devices, using Hive's own field names and values
  • File-based offline mode for development and testing without live credentials

Supported Devices

Device Type Capabilities
Heating (thermostat) Current / target temperature, mode (schedule / manual / off), boost on/off
Hot Water Mode (schedule / on / off), boost on/off

Lights, smart plugs, sensors and the hub are not supported: the ha-hive integration does not use them.


Installation

From PyPI, or the current main:

pip install hiveheating
pip install "hiveheating @ git+https://github.com/tomwilkie/hiveheating"

Every release is also attached to its GitHub Release as a wheel and sdist.

Requires Python 3.13+.


Quick Start

import asyncio
import getpass

from aiohttp import ClientSession
from hiveheating import SMS_REQUIRED, Auth, Hive


async def main():
    username = input("Hive email: ")
    password = getpass.getpass("Hive password: ")

    auth = Auth(username=username, password=password)
    tokens = await auth.login()
    if tokens.get("ChallengeName") == SMS_REQUIRED:
        tokens = await auth.sms_2fa(input("SMS code: "), tokens)
        await auth.device_registration()

    async with ClientSession() as websession:
        hive = Hive(websession)
        hive.new_session(
            {
                "username": username,
                "password": password,
                "tokens": tokens,
                "device_data": auth.get_device_data(),
            }
        )
        nodes = await hive.get_nodes()
        for product in nodes.products.values():
            print(product.type, product.name, product.mode)


asyncio.run(main())

Authentication

Authentication uses the AWS Cognito SRP flow. On the first login login() returns a ChallengeName of SMS_MFA (the SMS_REQUIRED constant) when the account has SMS two-factor authentication enabled; pass the code to sms_2fa(code, tokens). Then call device_registration() to register the machine as a trusted device and save the credentials get_device_data() returns, so later sessions can log in without an SMS.

Note: Only the Hive account owner is supported. Guest accounts cannot be used.

Standalone login example

examples/example_login.py is a complete runnable script. The first run asks for your email, password and SMS code, registers the machine as a trusted device and saves the device credentials to hive_device.json. Later runs log in with that file and skip the SMS. Both runs list the account's heating and hot water products and devices.

pip install hiveheating
python examples/example_login.py

Reading and Controlling Devices

new_session() only loads the saved credentials; nothing is sent until the first call. get_nodes() fetches GET /nodes/all and returns a Nodes snapshot: user, products and devices, each keyed by Hive ID. Products are HeatingProduct (heating) or HotWaterProduct (hotwater); devices are Device (hub, thermostatui, boilermodule). Fields keep Hive's names and values: a heating mode can be BOOST, a previous_mode can be False. A value Hive left out or sent with an unexpected type is None.

Each command takes a product from the snapshot and sends one POST /nodes/{type}/{id}:

Command Products Body
set_mode(product, mode) any {"mode": mode}; SCHEDULE, MANUAL or OFF (MANUAL is "on" for hot water)
set_target_temperature(product, target) HeatingProduct {"target": target}
set_heating_boost(product, minutes, target) HeatingProduct {"mode": "BOOST", "boost": minutes, "target": target}
set_hot_water_boost(product, minutes) HotWaterProduct {"mode": "BOOST", "boost": minutes}

There is no boost-off call: end a boost with set_mode and the mode it returns to (the product's previous_mode, where False means OFF). The library does not check argument values; Hive does.

nodes = await hive.get_nodes()
heating = nodes.products["<heating id>"]
print(heating.temperature, heating.target, heating.mode, heating.online)

await hive.set_target_temperature(heating, 21.0)
await hive.set_heating_boost(heating, 30, 22.0)
await hive.set_mode(heating, "SCHEDULE")

Errors

Every exception the library raises is a subclass of HiveError, grouped by what the caller should do about it. aiohttp and botocore exceptions never escape the library.

Exception Meaning What to do
HiveConnectionError Hive or Cognito could not be reached, timed out, failed with a 5xx, sent an unreadable response, or returned no products or no devices Retry later
HiveApiError Hive or Cognito refused the request or answered unexpectedly Report it; retrying will not help
HiveReauthRequired The tokens, refresh token or saved device credentials were rejected, there are no tokens, or Hive wants an SMS code. The session then keeps raising it without contacting Hive until it is given new tokens Log in again
HiveInvalidUsername, HiveInvalidPassword, HiveInvalid2FACode Subclasses of HiveReauthRequired raised by the login flow Show the user a form error

get_nodes() and the commands raise on every failure and keep nothing between calls; retrying is up to the caller.


Offline / File-Based Testing

Set username="use@file.com" to load device state from the bundled JSON fixture in src/hiveheating/data/ instead of making live API calls. Useful for development without real Hive credentials.

async with Hive(username="use@file.com", password="") as hive:
    hive.new_session({})
    nodes = await hive.get_nodes()

Development

# Install dev dependencies
pip install -e ".[dev]"

# Run linters
pre-commit run --all-files

# Run tests
pytest tests/


License

MIT License — see LICENSE for details. The original work is copyright Pyhive; the changes in this fork are copyright Tom Wilkie.

Metadata

Release files for hiveheating 0.3.0

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

Source distribution (sdist)

Source distribution for hiveheating 0.3.0
File Size Uploaded Provenance Actions
hiveheating-0.3.0.tar.gz 33.6 kB With provenance Details for hiveheating-0.3.0.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for hiveheating 0.3.0
File Interpreter ABI Platform Actions
hiveheating-0.3.0-py3-none-any.whl Python 3 none any Details for hiveheating-0.3.0-py3-none-any.whl

Total release size: 65.1 kB

Release files / hiveheating-0.3.0.tar.gz

Download URL hiveheating-0.3.0.tar.gz
Size 33.6 kB
Tags Source
SHA-256 checksum
How to use checksums
c6ded2b056653735fdbce1427adcd2366da8a67e54b7f9bd52a9173f3fb77b70
BLAKE2b-256 checksum
How to use checksums
edf47c607fa8fa6905740649c3dddbf5ccca56bfdf6e1ae31db911a7216f5785
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.16

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Nov 2, 2026.

Transparency log

Release files / hiveheating-0.3.0-py3-none-any.whl

Download URL hiveheating-0.3.0-py3-none-any.whl
Size 31.4 kB
Tags Python 3
SHA-256 checksum
How to use checksums
aa086f834f57568f8301147ea3967a667f7d6a7c50fb1ea3a0fc0783bb513f92
BLAKE2b-256 checksum
How to use checksums
722b9d7f0fde56a7d0bd8624bde1fb16b4e4f35adb857cc1bfae23bd2e0e3a1b
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.16

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Nov 2, 2026.

Transparency log

Security for hiveheating 0.3.0

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

Full provenance

All 2 files in this release have been uploaded with provenance metadata.

Select from 2 files

Attestation for hiveheating-0.3.0.tar.gz

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Nov 2, 2026.

Transparency log

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

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