Tapo P110 Prometheus Exporter

Exports energy consumption data from Tapo P110 smart devices to Prometheus, allowing monitoring and visualisation in Grafana.

Startup using docker

Create a docker-compose.yml
Create tapo.yaml and list P110 ips/names, ensure that the exporter can reach them.
1. You can check it in the tapo app -> the plug -> gear in top right -> "Device info": IP address
2. OR in your router Wifi router DHCP leases)
tip: Make the IP static, so it doesn't change when you move your plug.
Run the exporter
```
docker compose up -d
```

Add exporter to Prometheus by adding a job (replace 127.0.0.1 with your exporter IP, if not on the same host):

scrape_configs:
- job_name: 'tapo'
    static_configs:
    - targets: ['127.0.0.1:9333']
    labels:
        machine: 'home'

Import Grafana dashboard json or id 17104

Building from source

Pre-requisits:

Python 3
Python 3 pip
Config file

git clone https://github.com/PovilasID/P110-Exporter.git
cd TP110-Exporter
pip3 install --no-cache-dir PyInstaller loguru prometheus_client PyP100 click pyyaml
python3 main.py --tapo-email=xx --tapo-password=xx --config-file=xx --prometheus-port=xx

Exposed Metrics

# HELP tapo_p110_observation_rate_ms RED metrics for queries to the TP-Link TAPO P110 devices. (milliseconds)
# TYPE tapo_p110_observation_rate_ms histogram
tapo_p110_observation_rate_ms_bucket{ip_address="192.168.1.102",le="10.0",room="study",success="SUCCESS"} 0.0
tapo_p110_observation_rate_ms_bucket{ip_address="192.168.1.102",le="100.0",room="study",success="SUCCESS"} 0.0
tapo_p110_observation_rate_ms_bucket{ip_address="192.168.1.102",le="150.0",room="study",success="SUCCESS"} 0.0
tapo_p110_observation_rate_ms_bucket{ip_address="192.168.1.102",le="200.0",room="study",success="SUCCESS"} 0.0
tapo_p110_observation_rate_ms_bucket{ip_address="192.168.1.102",le="250.0",room="study",success="SUCCESS"} 1.0
tapo_p110_observation_rate_ms_bucket{ip_address="192.168.1.102",le="300.0",room="study",success="SUCCESS"} 1.0
tapo_p110_observation_rate_ms_bucket{ip_address="192.168.1.102",le="500.0",room="study",success="SUCCESS"} 1.0
tapo_p110_observation_rate_ms_bucket{ip_address="192.168.1.102",le="750.0",room="study",success="SUCCESS"} 1.0
tapo_p110_observation_rate_ms_bucket{ip_address="192.168.1.102",le="1000.0",room="study",success="SUCCESS"} 1.0
tapo_p110_observation_rate_ms_bucket{ip_address="192.168.1.102",le="1500.0",room="study",success="SUCCESS"} 1.0
tapo_p110_observation_rate_ms_bucket{ip_address="192.168.1.102",le="2000.0",room="study",success="SUCCESS"} 1.0
tapo_p110_observation_rate_ms_bucket{ip_address="192.168.1.102",le="+Inf",room="study",success="SUCCESS"} 1.0
tapo_p110_observation_rate_ms_count{ip_address="192.168.1.102",room="study",success="SUCCESS"} 1.0
tapo_p110_observation_rate_ms_sum{ip_address="192.168.1.102",room="study",success="SUCCESS"} 202.0
tapo_p110_observation_rate_ms_bucket{ip_address="192.168.1.183",le="10.0",room="living_room",success="SUCCESS"} 0.0
tapo_p110_observation_rate_ms_bucket{ip_address="192.168.1.183",le="100.0",room="living_room",success="SUCCESS"} 0.0
tapo_p110_observation_rate_ms_bucket{ip_address="192.168.1.183",le="150.0",room="living_room",success="SUCCESS"} 0.0
tapo_p110_observation_rate_ms_bucket{ip_address="192.168.1.183",le="200.0",room="living_room",success="SUCCESS"} 0.0
tapo_p110_observation_rate_ms_bucket{ip_address="192.168.1.183",le="250.0",room="living_room",success="SUCCESS"} 0.0
tapo_p110_observation_rate_ms_bucket{ip_address="192.168.1.183",le="300.0",room="living_room",success="SUCCESS"} 0.0
tapo_p110_observation_rate_ms_bucket{ip_address="192.168.1.183",le="500.0",room="living_room",success="SUCCESS"} 1.0
tapo_p110_observation_rate_ms_bucket{ip_address="192.168.1.183",le="750.0",room="living_room",success="SUCCESS"} 1.0
tapo_p110_observation_rate_ms_bucket{ip_address="192.168.1.183",le="1000.0",room="living_room",success="SUCCESS"} 1.0
tapo_p110_observation_rate_ms_bucket{ip_address="192.168.1.183",le="1500.0",room="living_room",success="SUCCESS"} 1.0
tapo_p110_observation_rate_ms_bucket{ip_address="192.168.1.183",le="2000.0",room="living_room",success="SUCCESS"} 1.0
tapo_p110_observation_rate_ms_bucket{ip_address="192.168.1.183",le="+Inf",room="living_room",success="SUCCESS"} 1.0
tapo_p110_observation_rate_ms_count{ip_address="192.168.1.183",room="living_room",success="SUCCESS"} 1.0
tapo_p110_observation_rate_ms_sum{ip_address="192.168.1.183",room="living_room",success="SUCCESS"} 311.0
# HELP tapo_p110_observation_rate_ms_created RED metrics for queries to the TP-Link TAPO P110 devices. (milliseconds)
# TYPE tapo_p110_observation_rate_ms_created gauge
tapo_p110_observation_rate_ms_created{ip_address="192.168.1.102",room="study",success="SUCCESS"} 1.645379230867336e+09
tapo_p110_observation_rate_ms_created{ip_address="192.168.1.183",room="living_room",success="SUCCESS"} 1.645379231179084e+09
# HELP tapo_p110_device_count Number of available TP-Link TAPO P110 Smart Sockets.
# TYPE tapo_p110_device_count gauge
tapo_p110_device_count 2.0
# HELP tapo_p110_today_runtime_mins Current running time for the TP-Link TAPO P110 Smart Socket today. (minutes)
# TYPE tapo_p110_today_runtime_mins gauge
tapo_p110_today_runtime_mins{ip_address="192.168.1.102",room="study"} 1067.0
tapo_p110_today_runtime_mins{ip_address="192.168.1.183",room="living_room"} 1067.0
# HELP tapo_p110_month_runtime_mins Current running time for the TP-Link TAPO P110 Smart Socket this month. (minutes)
# TYPE tapo_p110_month_runtime_mins gauge
tapo_p110_month_runtime_mins{ip_address="192.168.1.102",room="study"} 13327.0
tapo_p110_month_runtime_mins{ip_address="192.168.1.183",room="living_room"} 13358.0
# HELP tapo_p110_today_energy_wh Energy consumed by the TP-Link TAPO P110 Smart Socket today. (Watt-hours)
# TYPE tapo_p110_today_energy_wh gauge
tapo_p110_today_energy_wh{ip_address="192.168.1.102",room="study"} 204.0
tapo_p110_today_energy_wh{ip_address="192.168.1.183",room="living_room"} 187.0
# HELP tapo_p110_month_energy_wh Energy consumed by the TP-Link TAPO P110 Smart Socket this month. (Watt-hours)
# TYPE tapo_p110_month_energy_wh gauge
tapo_p110_month_energy_wh{ip_address="192.168.1.102",room="study"} 2735.0
tapo_p110_month_energy_wh{ip_address="192.168.1.183",room="living_room"} 2705.0
# HELP tapo_p110_power_consumption_w Current power consumption for TP-Link TAPO P110 Smart Socket. (Watts)
# TYPE tapo_p110_power_consumption_w gauge
tapo_p110_power_consumption_w{ip_address="192.168.1.102",room="study"} 82927.0
tapo_p110_power_consumption_w{ip_address="192.168.1.183",room="living_room"} 12118.0

Configuration

Communications are done directly with the P110 devices, therefore all IP addresses must be provided.

devices:
  study: "192.168.1.102"
  living_room: "192.168.1.183"

surdaft/P110-Exporter

Tapo P110 Prometheus Exporter

Startup using docker

Building from source

Exposed Metrics

Configuration