The following code is very quick and dirty, but works fine for my purposes.

Only PR's are accepted. I won't be answering to issues

Everything is saved in a PostgreSQL database. The database scheme used can be found in database.sql.

The analytics are based on database views which can be found in views:

All aggregations are in a 15 minute resolution

• electricity_out.sql aggregates the overcapacity of solar energy delivered back.
• electricity_in.sql aggregates the consumed electricity from the supplier.
• solar_in.sql aggregates the generated solar energy.
• solar_total.sql aggregates the average solar panel performance in watt peak.
• gas.sql aggregates the gas usage.

Additionally:

• electricity_saldo.sql aggregates the saldo of the solar energy and consumed electricity per day.
• week.sql aggregates everything on week level.

The web frontend can be found in the web folder. The frontend is a quick and dirty HTML / PHP solution to show various highcharts.

Make sure to change the database settings in the PHP files.

To actually log the information from the p1 meter and the solar panels, the scripts in the clients folder are used. Make sure to change the various settings in the python files.

• p1read.py runs as a daemon reading the Raspberry Pi serial interface.

• solar.py runs as a daemon reading the Solar inverter Omnik API.

• pgsql.py should be run periodically to fill the database with the cached queries.