1. Create Docker image:

touch pyze.json
docker build -t renault .

2. Generate pyze.json:

docker run -v $(pwd)/pyze.json:/root/.credentials/pyze.json -e GIGYA_API_KEY=3_e8d4g4SE_Fo8ahyHwwP7ohLGZ79HKNN2T8NjQqoNnk6Epj6ilyYwKdHUyCw3wuxz -e KAMEREON_API_KEY=oF09WnKqvBDcrQzcW1rJNpjIuy7KdGaB -it --rm renault pyze login

3. Update Docker image with pyze.json (which contains your Renault login info):

docker build -t renault .

4. Get a list of all vehicles in your account:

docker run --rm renault pyze vehicles

5. Run the container every 5 minutes to send metrics to InfluxDB:

docker run --rm -e VIN=<VIN> renault

6. Create this CQ in influxdb to calculate the max theoretical range (km):

CREATE CONTINUOUS QUERY "cq_mtr" ON "renault" BEGIN SELECT (mean("range")/mean("percentage")*100) AS "mtr" INTO "battery" FROM "battery" GROUP BY time(5m), * END

6. Only for ZE50 models, create this CQ in influxdb to calculate the cars efficiency (kWh/km):

CREATE CONTINUOUS QUERY "cq_kwhperkm" ON "renault" BEGIN select mean("energy")/mean("range") AS "kwhperkm" INTO "battery" from battery group by time(5m), * END