onekommafive 0.1.15

Python API client for the 1KOMMA5° Heartbeat API

1Komma5°

Unofficial Python client for the 1KOMMA5° Heartbeat API — the home energy management platform behind heat pumps, solar inverters, battery storage, and EV chargers.

Disclaimer

This project is 100% vibe coded. I do not have the means to test this integration broadly across different hardware configurations — a lot of it is "it works for me". Use at your own risk.

This project is not affiliated with or endorsed by 1KOMMA5°. The API is undocumented and was reverse-engineered from the mobile app. It may change without notice.

My personal setup, on which this library has been tested:

Component	Model
Hybrid Inverter	Sungrow SH6.0RT-V112
Battery	Sungrow SBR256
Wallbox	go-e homeFix 11 kW
EV	Volkswagen ID.4
Heat pump	Stiebel Eltron WPL-A 10 HK 400 Premium
Smart meter	DTSU666

Features

• OAuth2 + PKCE authentication (matches the mobile app flow), with automatic token refresh
• System metadata (address, status, features) — SystemInfo
• Live power snapshot (PV, battery, grid, consumption, heat pumps, EV chargers, ACs, self-sufficiency) — API v3
• Energy summary and timeseries for today or any historical date range — API v2/v3, 1h or 15m resolution
• EV charger state and control (charging mode, current SoC, target SoC, departure time, vehicle profile)
• Available EV charging modes per site
• EMS settings (auto/manual, Time-of-Use, per-device manual overrides for EV charger, battery, heat pump)
• Market electricity prices with grid costs and VAT — API v4, EUR/kWh, 1h or 15m resolution
• AI optimisation decisions (battery and EV charging actions with market price context)
• Built-in CLI (1k5) for quick terminal access

Requirements

• Python 3.11+
• A 1KOMMA5° account with at least one registered system

Installation

pip install onekommafive

# with dev dependencies (pytest, responses, …)
pip install ".[dev]"

Library usage

from onekommafive import Client, Systems

client = Client("[e-mail]", "s3cr3t")
systems = Systems(client).get_systems()
system = systems[0]

# System metadata
info = system.info()
print(f"{info.name} — {info.address_city}, {info.status}")

# Live overview (API v3)
ov = system.get_live_overview()
print(f"PV: {ov.pv_power} W  Battery: {ov.battery_power} W ({ov.battery_soc:.1f}%)")
print(f"Grid: {ov.grid_power} W  (import {ov.grid_consumption_power} W  export {ov.grid_feed_in_power} W)")
print(f"Consumption: {ov.consumption_power} W")
print(f"Heat pumps: {ov.heat_pumps_power} W  EV chargers: {ov.ev_chargers_power} W")
print(f"Self-sufficiency: {ov.self_sufficiency:.0%}")

# Market prices today (API v4) — resolution "1h" or "15m", prices in EUR/kWh
import datetime
today = datetime.datetime.now().replace(hour=0, minute=0, second=0, microsecond=0)
mp = system.get_prices(today, today.replace(hour=23, minute=59, second=59), resolution="1h")
print(f"Avg spot: {mp.average_price:.4f}  +grid: {mp.average_price_with_grid_costs:.4f}  all-in: {mp.average_price_all_in:.4f} EUR/kWh")
for ts, price in sorted(mp.prices.items()):
    print(f"  {ts}  spot {price:.4f}  all-in {mp.prices_with_grid_costs_and_vat[ts]:.4f} EUR/kWh")

# Energy today (API v2) — resolution "1h" or "15m"
ed = system.get_energy_today(resolution="1h")
print(f"Produced: {ed.energy_produced_kwh:.2f} kWh  Self-sufficiency: {ed.self_sufficiency:.0%}")
print(f"Grid supply: {ed.grid_supply_kwh:.2f} kWh  Feed-in: {ed.grid_feed_in_kwh:.2f} kWh")
for ts, slot in ed.timeseries.items():
    print(f"  {ts}  PV {slot.production} kW  Bat SoC {slot.battery_soc:.0%}")

# Historical energy (API v3) — any date range, resolution "1h" or "15m"
yesterday = datetime.date.today() - datetime.timedelta(days=1)
ed = system.get_energy_historical(from_date=yesterday, to_date=yesterday, resolution="1h")
print(f"Yesterday produced: {ed.energy_produced_kwh:.2f} kWh")

# Available EV charging modes for this site
modes = system.get_displayed_ev_charging_modes()
print("Available modes:", [m.value for m in modes])

# EV chargers — read state and set mode
for ev in system.get_ev_chargers():
    print(f"{ev.manufacturer()} {ev.model()} ({ev.capacity_wh()/1000:.0f} kWh)")
    print(f"  Mode: {ev.charging_mode().value}  SoC: {ev.current_soc()} %  Target: {ev.target_soc()} %")

from onekommafive.models import ChargingMode
ev = system.get_ev_chargers()[0]
ev.set_charging_mode(ChargingMode.SOLAR_CHARGE)
ev.set_target_soc(90.0)               # Zielladezustand 90 %
ev.set_primary_departure_time("07:30")  # tägliche Abfahrtzeit

# EMS settings
settings = system.get_ems_settings()
print(f"EMS auto mode: {settings.auto_mode}  ToU: {settings.time_of_use_enabled}")
for dev in settings.manual_devices:
    print(f"  {dev.type}: {dev.raw}")
system.set_ems_mode(auto=True)

# AI optimisation decisions
import datetime
start = datetime.datetime.now().replace(hour=0, minute=0, second=0, microsecond=0)
end = start.replace(hour=23, minute=59, second=59)
opt = system.get_optimizations(start=start, end=end)
for ev in opt.events:
    print(f"{ev.from_time}  {ev.asset:<8}  {ev.decision}  {ev.market_price:.2f} EUR/MWh  SoC {ev.state_of_charge}%")

CLI

Set credentials via environment variables:

export ONEKOMMAFIVE_USERNAME="[e-mail]"
export ONEKOMMAFIVE_PASSWORD="s3cr3t"
# optional: select a specific system by UUID
export ONEKOMMAFIVE_SYSTEM="<system-uuid>"

1k5 info                                 System metadata (address, status, features)
1k5 live                                 Live power overview
1k5 energy-today                         Energy summary and timeseries for today (hourly)
1k5 energy-today --resolution 15m        15-minute resolution
1k5 energy-historical --from YYYY-MM-DD --to YYYY-MM-DD
                                         Historical energy for a date range (hourly)
1k5 energy-historical --from ... --to ... --resolution 15m
1k5 prices                               Market prices for today (hourly, EUR/kWh)
1k5 prices --resolution 15m             15-minute resolution
1k5 ev                                   EV charger status and schedule
1k5 ev-modes                             Available EV charging modes for this site
1k5 set-ev-mode SOLAR_CHARGE             Set charging mode on first EV charger
1k5 set-ev-mode QUICK_CHARGE --ev <id>   Set mode on a specific charger
1k5 set-ev-target-soc 90                 Set target SoC to 90 % on first EV charger
1k5 set-ev-target-soc 80 --ev <id>       Set target SoC on a specific charger
1k5 set-ev-departure 07:30               Set primary departure time on first EV charger
1k5 set-ev-departure 06:00 --ev <id>     Set departure time on a specific charger
1k5 optimizations                        AI optimisation decisions for today
1k5 optimizations --from 2026-03-19      Decisions for a specific day
1k5 optimizations --from 2026-03-19T08:00 --to 2026-03-19T20:00
                                         Decisions for a time window
1k5 ems                                  EMS settings (mode, ToU, device overrides)
1k5 set-ems auto                         Enable automatic EMS optimisation
1k5 set-ems manual                       Enable manual EMS override

Example output:

$ 1k5 live
System:       xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx
Status:       ONLINE
PV power:     +1837 W
Battery:      +4802 W  SoC 61.0%
Grid:         +5914 W  (import +5914 W  export +0 W)
Consumption:  +2950 W
Household:    +1900 W
EV chargers:  +0 W
Heat pumps:   +2000 W
ACs:          +1500 W
Self-suff.:   0.0%

$ 1k5 info
System:       xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx
Name:         My Home System
Status:       ACTIVE
Address:      Musterstraße 1, 20095 Hamburg, DE
Coordinates:  53.5000, 10.0000
Customer ID:  cust-0001
Dynamic Pulse:        yes
Energy trading:       yes
Electricity contract: yes
Created:      2025-01-23T08:09:40.042Z
Updated:      2025-10-08T15:28:18.743Z

$ 1k5 prices --resolution 1h
System:        xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx
Period:        2026-02-28 – 2026-02-28

                            avg        high        low  EUR/kWh
Spot                     0.0520      0.0952     -0.0003
+ Grid                   0.1896      0.2328      0.1373
All-in (incl. VAT)       0.2256      0.2770      0.1634

Grid costs:    0.1637 EUR/kWh  (VAT 19%,  energy tax 0.1376)

Timestamp                   Spot      + Grid    All-in
-----------------------------------------------------------
2026-02-28T00:00Z          0.0763      0.2139      0.2545
2026-02-28T01:00Z          0.0747      0.2123      0.2526
...

$ 1k5 energy-today
System:       xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx
Produced:     30.76 kWh
Consumed:     26.50 kWh
Self-suff.:   61.0%
Grid supply:  10.33 kWh    Feed-in:  6.76 kWh
Bat charge:   22.42 kWh    Bat discharge:  14.58 kWh
Savings:      6.48 €
EV total:     5.00 kWh     Heat pump total:  12.00 kWh
Household:    13.50 kWh

Timestamp                     PV     Grid+    Grid-    Bat%   Bat kW
----------------------------------------------------------------------
2026-03-08T12:00Z           5.008    0.334    0.053   53.6%   +4.688
2026-03-08T13:00Z           3.500    0.500    0.000   62.0%   +2.000

$ 1k5 optimizations
System:  xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx
Period:  2026-03-19 – 2026-03-19
Events:  25

Timestamp               Asset     Decision                    Price    SoC
--------------------------------------------------------------------------------
2026-03-19 00:00:00     BATTERY   BATTERY_NO_DISCHARGE        29.79     55%
2026-03-19 00:00:00     EV        EV_CHARGE_FROM_GRID         29.79     55%
2026-03-19 01:00:00     BATTERY   BATTERY_NO_DISCHARGE        29.90     55%
2026-03-19 10:00:00     BATTERY   BATTERY_CHARGE_FROM_GRID    18.82     24%
2026-03-19 12:00:00     BATTERY   BATTERY_CHARGE_FROM_GRID    16.37     63%
2026-03-19 14:00:00     BATTERY   BATTERY_CHARGE_FROM_GRID    21.46     92%
2026-03-19 16:00:00     BATTERY   BATTERY_NO_DISCHARGE        28.44     87%
2026-03-19 22:30:00     BATTERY   BATTERY_NO_DISCHARGE        31.97      —

$ 1k5 ems
System:       xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx
EMS mode:     AUTO
Time-of-Use:  enabled
Consent:      yes
Updated:      2026-02-21T18:28:27.452Z

Manual device settings:
  EV_CHARGER  Wallbox  →  QUICK_CHARGE  (Id4)
  BATTERY     Forecast charging: disabled
  HEAT_PUMP   <heat-pump-id>  Solar surplus: yes  (max 2.0 kW)

API versions used

Endpoint	API version
List / get systems	v2
System detail	v4
Live power overview	v3
Energy today	v2
Energy historical	v3
Market prices	v4
EV chargers (read / set)	v1
Available EV charging modes	v1
EMS (read / set)	v1
AI optimisation decisions	v1

Models

Class	Description
SystemInfo	System metadata (address, status, feature flags)
LiveOverview	Real-time power snapshot (W), incl. net grid power, separate import/export, smart devices and self-sufficiency
EnergyData	Energy summary (kWh totals, self-sufficiency, savings) and per-slot timeseries
EnergySlot	One timeseries slot — PV production, per-device consumption (kW), grid flows, battery SoC and charge/discharge
MarketPrices	Spot prices, grid costs and VAT per slot (EUR/kWh)
EmsSettings	EMS mode, Time-of-Use flag, per-device manual overrides
EmsManualDevice	One device entry in the EMS manual settings
EVCharger	EV charger state, vehicle profile, schedule and controls
OptimizationEvents	AI optimisation decisions for a time range
OptimizationEvent	A single decision (asset, action, market price, SoC)
ChargingMode	SMART_CHARGE / QUICK_CHARGE / SOLAR_CHARGE

API version monitoring

scripts/probe_versions.md probes all known endpoints for newer API versions than the ones currently used in the client. Run it after a 1KOMMA5° app update to catch version bumps early.

ONEKOMMAFIVE_USERNAME=... ONEKOMMAFIVE_PASSWORD=... \
PYTHONPATH=. python scripts/probe_versions.py

Running tests

pip install ".[dev]"
pytest

Integration tests (require credentials, read-only):

ONEKOMMAFIVE_USERNAME=... ONEKOMMAFIVE_PASSWORD=... pytest tests/test_integration.py -v

Related projects

1komma5-ha

A Home Assistant integration built on top of this library. Exposes your 1KOMMA5° system as sensors, switches and controls directly in Home Assistant.

Credits

This project would not exist without the prior work of the Home Assistant community.

hacs_1komma5grad by Alexander Birkner

The unofficial Home Assistant / HACS integration for 1KOMMA5°. Large parts of this library — in particular the API endpoint discovery, the request/response structures, the OAuth2 + PKCE authentication flow, and the overall understanding of the Heartbeat API — are directly derived from or heavily inspired by that project. If you use Home Assistant, that integration is the right tool; this library is just a standalone Python wrapper built on the same knowledge.

Please respect the original authors' work. The 1KOMMA5° API is undocumented and was reverse-engineered by the community. Use responsibly.

License

MIT