Process live and historical data from luftdaten.info. Filter by station-id, sensor-id and sensor-type, apply reverse geocoding, store into timeseries and RDBMS databases (InfluxDB and PostGIS), publish to MQTT or just output as JSON.
Luftdatenpumpe acquires the measurement readings either from the livedata API of luftdaten.info or from its archived CSV files published to archive.luftdaten.info. To minimize impact on the upstream servers, all data gets reasonably cached.
While iterating the readings, it optionally filters on station-id, sensor-id or sensor-type and restrains information processing to the corresponding stations and sensors.
Then, each station's location information gets enhanced by
Information about stations can be
Measurement readings can be
Display luftdaten.info (LDI) measurements on Grafana Worldmap Panel.
Worldmap and address
Map and station info display. Filter by different synthesized address components and sensor type.
Display verbose name from OSM address and station id on overlay.
- LDI Demo #1 » Stations by name, country and state
- LDI Demo #2 » Cascaded stations
- LDI Demo #3 » Measurements by cascaded location selector
- LDI Demo #4 » Find stations by sensor type
- LDI Demo #5 » Map by location and sensor type
# List stations luftdatenpumpe stations --station=28,297 --reverse-geocode # Write list of stations and metadata to PostgreSQL database luftdatenpumpe stations --station=28,1071 --reverse-geocode --target=postgresql:///weatherbase # Forward readings to MQTT luftdatenpumpe readings --station=28,1071 --target=mqtt://mqtt.example.org/luftdaten.info
Usage: luftdatenpumpe stations [options] [--target=<target>]... luftdatenpumpe readings [options] [--target=<target>]... luftdatenpumpe grafana --kind=<kind> --name=<name> [--variables=<variables>] luftdatenpumpe --version luftdatenpumpe (-h | --help) Options: --source=<source> Data source, either "api" or "file://" [default: api]. --station=<stations> Filter data by given location ids, comma-separated. --sensor=<sensors> Filter data by given sensor ids, comma-separated. --sensor-type=<sensor-types> Filter data by given sensor types, comma-separated. --reverse-geocode Compute geographical address using the Nominatim reverse geocoder --target=<target> Data output target --create-database-view Create database view like "ldi_view" spanning all tables. --disable-nominatim-cache Disable Nominatim reverse geocoder cache --progress Show progress bar --version Show version information --dry-run Skip publishing to MQTT bus --debug Enable debug messages -h --help Show this screen
For a full overview about all options including many examples, please visit luftdatenpumpe --help.
Configure package repository
Hiveeyes is hosting recent releases of InfluxDB and Grafana there. We are mostly also running exactly these releases on our production servers.
Add Hiveeyes package repository:
wget -qO - https://packages.hiveeyes.org/hiveeyes/foss/debian/pubkey.txt | apt-key add - apt install
Add Hiveeyes package repository, e.g. by appending this to
deb https://packages.hiveeyes.org/hiveeyes/foss/debian/ testing main foundation
Reindex package database:
apt install apt-transport-https apt install postgis redis-server redis-tools influxdb grafana
Create user and database:
su - postgres createuser --no-createdb --pwprompt hiveeyes createdb --owner hiveeyes weatherbase
Create read-only user:
psql postgres=# \c weatherbase weatherbase=# CREATE ROLE readonly WITH LOGIN PASSWORD 'readonly'; weatherbase=# GRANT USAGE, SELECT ON ALL SEQUENCES IN SCHEMA public TO readonly; weatherbase=# GRANT SELECT ON ALL TABLES IN SCHEMA public TO readonly;
This program extensively uses a runtime cache based on Redis. To make this work best, you should enable data durability with your Redis instance.
The append-only file is an alternative, fully-durable strategy for Redis. It became available in version 1.1. You can turn on the AOF in your Redis configuration file (e.g. /etc/redis/redis.conf):appendonly yes
apt install build-essential python3-dev libicu-dev
pip install luftdatenpumpe
We recommend to use a Python doc-virtualenv to install and operate this software independently from your local system-wide Python installation.
At this point, you should try to conduct simple tests like outlined in the synopsis section above.
After that, you might want to advance into reading about integrating Luftdatenpumpe with Grafana in order to learn about how to build such beautiful and interactive map- and graph-compositions.
- opendata-stuttgart/sensors-software: Support for InfluxDB and MQTT as backend.
Standing on the shoulders of giants.
Software and services
This program is free software; you can redistribute it and/or modify it under the terms of the GNU Affero General Public License as published by the Free Software Foundation; either version 3 of the License, or (at your option) any later version.
This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
You should have received a copy of the GNU Affero General Public License along with this program; if not, see: <http://www.gnu.org/licenses/agpl-3.0.txt>, or write to the Free Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
The copyright of particular images and pictograms are held by their respective owners, unless otherwise noted.