k-icos

A Krawler based service to download atmospheric data from the French gelectrical network operated by RTE.

Description

The k-icos job allow to scrape atmospheric data from the [RTE API]. The downloaded data are stored within a MongoDB database and more precisely in 2 collections:

• the icos-observations collection stores the observation data
• the icos-stations collection stores the station positions

All records are stored in GeoJson format.

The project consists in 2 jobs:

• the stations job scrapes the available stations according a specific cron expression. By default, every day at midnight.
• the observations job scrapes the observations data according a specific cron expression. By default every hour.

Configuration

Stations

Variable	Description
DB_URL	The database URL. The default value is mongodb://127.0.0.1:27017/icos
OBJECT_SPEC_FILTER	A filter used to select only latest data objects containing this pattern. The default value is radon data, could be eg CO data, CO2 data, CH4 data
HISTORY	The duration of the observations data history the job has to download. It must be expressed in seconds and the default value is 86 400 000 (1 day)
DEBUG	Enables debug output. Set it to krawler* to enable full output. By default it is undefined.

Observations

Variable	Description
DB_URL	The database URL. The default value is mongodb://127.0.0.1:27017/icos
TTL	The observations data time to live. It must be expressed in seconds and the default value is 604 800 (7 days)
OBJECT_SPEC_FILTER	A filter used to select only latest data objects containing this pattern. The default value is radon data, could be eg CO data, CO2 data, CH4 data
OBJECT_VARIABLE	The name of the variable contained in the corresponding data objects. The default value is rn, could be eg co, co2, ch4
HISTORY	The duration of the observations data history the job has to download. It must be expressed in seconds and the default value is 86 400 000 (1 day)
DEBUG	Enables debug output. Set it to krawler* to enable full output. By default it is undefined.

Deployment

We personally use Kargo to deploy the service.

Contributing

Please refer to contribution section for more details.

Authors

This project is sponsored by

License

This project is licensed under the MIT License - see the license file for details