ecowitt2mqtt
is a small CLI/web server that allows Ecowitt
device data to be sent to an MQTT broker.
pip install ecowitt2mqtt
ecowitt2mqtt
is currently supported on:
- Python 3.6
- Python 3.7
- Python 3.8
Note that this README assumes:
- you have access to an MQTT broker
- you have already paired your Ecowitt device with the WS View Android/iOS app from Ecowitt.
First, install ecowitt2mqtt
via pip
:
$ pip install ecowitt2mqtt
Then, shift over to the WS View app on your Android/iOS device. While viewing your
device in the app, select Weather Services
:
Press Next
until you reach the Customized
screen:
Fill out the form with these values and tap Save
:
Protocol Type Same As
:Ecowitt
Server IP / Hostname
: the IP address/hostname of the device runningecowitt2mqtt
Path
:/data/report
(note that unlike the default in the WS View App, there shouldn't be a trailing slash)Port
:8080
(the default port on whichecowitt2mqtt
is served)Upload Interval
:60
(change this to alter the frequency with which data is published)
Then, on the machine where you installed ecowitt2mqtt
, run it:
$ ecowitt2mqtt \
--mqtt-broker=192.168.1.101 \
--mqtt-username=user \
--mqtt-password=password \
--mqtt-topic=ecowitt2mqtt/device_1
Within the Upload Interval
, data should begin to appear in the MQTT broker.
The ecowitt2mqtt
executable contains several configurable parameters:
usage: ecowitt2mqtt [-h] --mqtt-broker MQTT_BROKER --mqtt-topic MQTT_TOPIC [--mqtt-port MQTT_PORT]
[--mqtt-username MQTT_USERNAME] [--mqtt-password MQTT_PASSWORD]
[--endpoint ENDPOINT] [--port PORT] [-l LOG_LEVEL]
Send data from Ecowitt devices to an MQTT broker
optional arguments:
-h, --help show this help message and exit
-l LOG_LEVEL, --log-level LOG_LEVEL
The logging level (default: INFO)
--mqtt-broker MQTT_BROKER
The hostname or IP address of the MQTT broker
--mqtt-port MQTT_PORT
The port of the MQTT broker (default: 1883)
--mqtt-username MQTT_USERNAME
The username to use with the MQTT broker (default: None)
--mqtt-password MQTT_PASSWORD
The password to use with the MQTT broker (default: None)
--mqtt-topic MQTT_TOPIC
The MQTT topic to publish the device's data to (default: ecowitt2mqtt/<ID>)
--hass-discovery Publish data in the Home Assistant MQTT Discovery format
--hass-discovery-prefix HASS_DISCOVERY_PREFIX
The Home Assistant discovery prefix to use (default: homeassistant)
--endpoint ENDPOINT The relative endpoint/path to serve the web app on (default: /data/report)
--port PORT The port to serve the web app on (default: 8080)
--raw-data Return raw data (don't attempt to translate any values)
--input-unit-system INPUT_UNIT_SYSTEM
The input unit system used by the device (default: imperial)
--output-unit-system OUTPUT_UNIT_SYSTEM
The unit system to use in output (default: imperial)
ecowitt2mqtt
allows you to specify both the input and output unit systems for a device.
This is fairly self-explanatory, but take care to use an --input-unit-system
that is
consistent with what your device provides (otherwise, your data will be way off).
In some cases, it may be preferable to prevent ecowitt2mqtt
from doing any data
translation (converting values to a new unit system, changing binary values – such as
might be used by a battery – into "friendly" values, etc.). Passing the --raw-data
flag
will accomplish this: data will flow directly from the Ecowitt device to the MQTT broker
as-is.
Note that the --raw-data
flag supersedes any that might cause data translation (such as
--input-unit-system
or --output-unit-system
).
Home Assistant users can quickly add entities from an Ecowitt device by using MQTT Discovery.
Once Home Assistant is configured to accept MQTT Discovery, ecowitt2mqtt
simply needs
the --hass-discovery
flag:
$ ecowitt2mqtt \
--mqtt-broker=192.168.1.101 \
--mqtt-username=user \
--mqtt-password=password \
--hass-discovery
Note that if both --hass-discovery
and --mqtt-topic
are provided, --hass-discovery
will
win out.
ecowitt2mqtt
doesn't, itself, provide any sort of daemonization mechanism. The suggested
route is to use a different application.
An example supervisord
configuration file might look like this:
[supervisord]
nodaemon=true
loglevel=info
user=root
[program:ecowitt2mqtt]
command=ecowitt2mqtt --mqtt-broker=192.168.1.101 --mqtt-username=user --mqtt-password=password
stdout_logfile=/dev/stdout
stdout_logfile_maxbytes=0
redirect_stderr=true
An example systemd
service file in /etc/systemd/system
might look like this:
[Unit]
Description=ECOWITT2MQTT daemon
After=network.target
[Service]
Type=notify
ExecStart=ecowitt2mqtt --mqtt-broker=192.168.1.101 --mqtt-username=user --mqtt-password=password
ExecReload=kill -HUP $MAINPID
KillMode=process
Restart=on-failure
RestartSec=5s
[Install]
WantedBy=multi-user.target
To enable the service:
$ systemctl enable ecowitt2mqtt
The library is available via a Docker image
(bachya/ecowitt2mqtt
). It is configured
by a handful of environment variables that correspond to the command line parameters
listed above:
LOG_LEVEL:
the log level to use (default:INFO
)MQTT_BROKER:
the hostname or IP address of the MQTT brokerMQTT_PORT:
the port of the MQTT broker (default:1883
)MQTT_PASSWORD:
the password to use with the MQTT broker (default:None
)MQTT_USERNAME:
the password to use with the MQTT broker (default:None
)MQTT_TOPIC:
the MQTT topic to publish the device's data toHASS_DISCOVERY
: whether to use Home Assistant MQTT Discovery (default:false
)HASS_DISCOVERY_PREFIX
: the topic prefix to use for Home Assistant MQTT Discovery (default:homeassistant
)ENDPOINT:
the relative endpoint/path to serve the web app on (default:/data/report
)PORT:
the port to serve the web app on (default:8080
)INPUT_UNIT_SYSTEM
: the input unit system to use (imperial
ormetric
) (default:imperial
)OUTPUT_UNIT_SYSTEM
: the output unit system to use (imperial
ormetric
) (default:imperial
)
Running the image is straightforward:
docker run -it \
-e MQTT_BROKER=192.168.1.101 \
-e MQTT_USERNAME=user \
-e MQTT_PASSWORD=password \
-p 8080:8080 \
bachya/ecowitt2mqtt:latest
Note the value of the -p
flag: you must expose the port defined by the PORT
environment variable. In the example above, the default port (8080
) is used and is
exposed via the same port on the host.
docker-compose
users can find an example
configuration file at
docker-compose.dev.yml
.
Note that this is intended to be a dev environment for quickly testing the repo itself;
in production, you should refer to one of the
Docker Hub images.
- Check for open features/bugs or initiate a discussion on one.
- Fork the repository.
- (optional, but highly recommended) Create a virtual environment:
python3 -m venv .venv
- (optional, but highly recommended) Enter the virtual environment:
source ./.venv/bin/activate
- Install the dev environment:
script/setup
- Code your new feature or bug fix.
- Update
README.md
with any new documentation. - Add yourself to
AUTHORS.md
. - Submit a pull request!