dimplex-controller 0.8.0

Python client for Dimplex heating controllers (GDHV IoT)

Dimplex Controller Python Client

Async Python client for controlling Glen Dimplex Heating & Ventilation (GDHV) appliances via the Dimplex cloud API.

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What does this do?

dimplex-controller-py is an asynchronous Python client that talks to the GDHV IoT cloud platform. It handles Azure B2C authentication (including automatic token refresh), discovers your Hubs, Zones and Appliances, and lets you read telemetry and send control commands — all from a script or a larger application.

It is the engine behind the Dimplex Hub Home Assistant integration and is published to PyPI as dimplex-controller.

Note: This is an unofficial library and is not affiliated with or endorsed by Glen Dimplex Heating & Ventilation (GDHV). Use it at your own risk.

Contents

• Features
• Installation
• Quick start
• Usage guide
  • Authentication
  • Discovery
  • Reading status
  • Sending control commands
  • Energy reports
• Configuration
• API reference
• Troubleshooting
• Contributing
• Changelog

Features

• Authentication — Azure B2C login with automatic token refresh and secure token persistence.
• Discovery — List Hubs, Zones and Appliances linked to your account.
• Real-time status — Fetch room temperature, setpoints, comfort status, boost/away modes and EcoStart state.
• Control — Set operation modes, activate Boost and Away, toggle EcoStart and Open Window Detection, and programme timer schedules.
• Energy telemetry — Pull Time Series Insights (TSI) energy reports with a robust telemetry parser that adapts to varying firmware formats.

Installation

From PyPI (recommended)

pip install dimplex-controller

From source

git clone https://github.com/KRoperUK/dimplex-controller-py.git
cd dimplex-controller-py
pip install .

Development install

git clone https://github.com/KRoperUK/dimplex-controller-py.git
cd dimplex-controller-py
pip install -e ".[dev]"

Requires: Python 3.10 or later.

Quick start

The library uses asyncio and aiohttp. Here is the smallest example that lists your Hubs and Zones:

import asyncio
from aiohttp import ClientSession
from dimplex_controller import DimplexControl

async def main() -> None:
    async with ClientSession() as session:
        client = DimplexControl(session, refresh_token="YOUR_REFRESH_TOKEN")

        hubs = await client.get_hubs()
        for hub in hubs:
            print(f"Hub: {hub.Name}")
            zones = await client.get_hub_zones(hub.HubId)
            for zone in zones:
                print(f"  Zone: {zone.ZoneName}")

if __name__ == "__main__":
    asyncio.run(main())

Usage guide

Authentication

Dimplex uses Azure AD B2C. You cannot log in purely programmatically with just a username and password — the library must first capture a short-lived authorisation code.

The recommended approach is to run the included demo script once:

python demo.py

The script walks you through opening a browser, signing in, and pasting the resulting redirect URL back into the terminal. On success, it saves a dimplex_tokens.json file in the current working directory.

Subsequent runs read the refresh token from that file automatically. You can also pass the refresh token directly to DimplexControl if you prefer to manage storage yourself.

Discovery

hubs = await client.get_hubs()
for hub in hubs:
    print(f"Hub: {hub.Name} ({hub.HubId})")
    zones = await client.get_hub_zones(hub.HubId)
    for zone in zones:
        print(f"  Zone: {zone.ZoneName} ({zone.ZoneId})")
        appliances = zone.Appliances
        for appliance in appliances:
            print(f"    Appliance: {appliance.ApplianceId}")

Reading status

from dimplex_controller.models import ApplianceStatus

status_list = await client.get_appliance_overview(hub_id, [appliance_id_1, appliance_id_2])

for status in status_list:
    print(f"Room temperature: {status.RoomTemperature}°C")
    print(f"Target temperature: {status.ActiveSetPointTemperature}°C")
    print(f"EcoStart enabled: {status.EcoStartEnabled}")
    print(f"Comfort status: {status.ComfortStatus}")

Sending control commands

from dimplex_controller.models import ApplianceModeSettings

# Enable EcoStart
await client.set_eco_start(hub_id, [appliance_id], True)

# Enable Open Window Detection
await client.set_open_window_detection(hub_id, [appliance_id], True)

# Activate Boost
await client.set_boost(hub_id, [appliance_id], temperature=25.0, duration_minutes=60)

# Set target temperature (rewrites timer period setpoints)
await client.set_target_temperature(hub_id, appliance_id, 21.5)

Energy reports

from dimplex_controller import parse_telemetry_points, summarise_energy

report = await client.get_tsi_energy_report(hub_id)
for appliance_id, telemetry in report.ApplianceTelemetryData.items():
    points = parse_telemetry_points(telemetry)
    daily = summarise_energy(points, mode="daily")
    lifetime = summarise_energy(points, mode="lifetime")
    print(f"{appliance_id}: today={daily.total_kwh} kWh, lifetime={lifetime.total_kwh} kWh")

parse_telemetry_points normalises firmware-varying point shapes. summarise_energy builds daily (local midnight) and lifetime totals. With include_previous_period=True the cloud often returns full history — filter client-side rather than trusting days_back alone.

Configuration

Environment variable	Purpose
DIMPLEX_TOKENS_FILE	Path to the JSON token store. Defaults to dimplex_tokens.json.

API reference

DimplexControl

Main client class. Construct with an aiohttp.ClientSession and a refresh_token.

Method	Description
get_hubs()	Returns list[Hub].
get_hub_zones(hub_id)	Returns list[Zone] for a Hub.
get_zone(hub_id, zone_id)	Returns a single Zone.
get_appliance_overview(hub_id, appliance_ids)	Returns list[ApplianceStatus].
get_user_context()	Returns UserContext.
get_appliance_features(hub_id, appliance_ids)	Returns raw appliance feature data.
set_mode(hub_id, appliance_ids, mode, temperature)	Set operation mode.
set_target_temperature(...)	Placeholder for future target temperature control.
set_appliance_mode(hub_id, appliance_ids, settings)	Send full mode settings.
set_eco_start(hub_id, appliance_ids, enabled)	Toggle EcoStart.
set_open_window_detection(hub_id, appliance_ids, enabled)	Toggle Open Window Detection.
get_tsi_energy_report(hub_id)	Returns TsiEnergyReport.

Models

• Hub — Hub metadata.
• Zone — Zone metadata with linked Appliances.
• Appliance — Appliance metadata.
• ApplianceStatus — Live telemetry (room temperature, setpoints, comfort, etc.).
• ApplianceModeSettings — Payload for mode changes.
• TimerPeriod / TimerModeSettings — Timer schedule structures.
• UserContext — Authenticated user profile.
• TsiEnergyReport — Energy telemetry keyed by appliance.

Exceptions

• DimplexError — Base exception.
• DimplexAuthError — Authentication or token errors.
• DimplexApiError — API returned a non-success status. Contains status and message.
• DimplexConnectionError — Network-level failures.

Troubleshooting

Authentication failures

• Verify that the refresh token in dimplex_tokens.json has not expired. Delete the file and re-run demo.py to capture a fresh one.
• Ensure your network can reach login.microsoftonline.com and the Dimplex API endpoints.
• If you have multi-factor authentication (MFA) enabled on your Dimplex account, the headless flow should still work because it uses a browser session you control manually.

DimplexAuthError

This means the API rejected the token. Common causes:

• Token file is missing or corrupt.
• The refresh token has expired (Azure B2C refresh tokens typically last 90 days).
• The token was revoked from the Azure portal.

Fix: Delete dimplex_tokens.json and re-run the demo.py flow.

DimplexConnectionError

The library could not reach the GDHV API. Check:

• Internet connectivity.
• DNS resolution for api.gdhv.io (or whatever endpoint is configured in const.py).
• No corporate firewall or proxy is blocking HTTPS traffic.

Telemetry parsing errors

If parse_telemetry_points returns an empty list, the API likely returned an unexpected schema for your firmware version. Please open an issue with a redacted example of the raw response so the parser can be updated.

Rate limiting

The GDHV cloud API has rate limits. If you hit them, back off for a few minutes before retrying. The library does not currently implement automatic retries with back-off.

Contributing

Contributions are welcome! Please read the contributing guidelines before opening a pull request.

Key points:

• Use Conventional Commits (feat:, fix:, chore:, etc.) — this drives the automated changelog and PyPI releases.
• Run ruff check, ruff format --check and pytest locally before pushing.
• Pre-commit hooks are available — run pre-commit install once.

Changelog

See CHANGELOG.md for version history.