TelcoTemp CLI for temperature predictions based on operational data from CML and/or meteo stations. It computes temperature maps for every hour and stores them locally in png format.
The main processes include:
- Data ingestion — reading temperature data from InfluxDB.
- Preprocessing — cleaning, filtering, and handling missing values.
- Processing — applying interpolation, spatial operations, or neural-network methods.
- Storing results — saving processed data locally and into a database
- Configuration & logging — use config files to control behavior; log steps / errors for traceability.
Activate the virtual env and install dependecies using either conda env in env_info/*.yml or requirements.txt, e.g.:
pip install -r env_info/requirements.txt
Set the configs: start the MariaDB and InfluxDB instances and provide IPs and passwords/tokens.
Run the combined calculation by:
python ./run.py
This output was financed through the project “Spatial Air Temperature Monitoring Using Microwave Links Data” (SS07020434), which is co-funded with state support from the Technology Agency of the Czech Republic under the Environment for Life Programme and further funded within the National Recovery Plan from the European Recovery and Resilience Facility.

