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A Python/Shell connector for Nginx Proxy Manager (Docker)

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nginxproxymanagerGraf

some good readme is needed :)

required things you do beforehand

  1. create influxdb nginxproxymanagergraf
  2. Create username and password for nginxproxymanagergraf
  3. get your GeoLite2-City.mmdb google is your friend upload it somewhere where you'll find it
  4. Copy http_top.conf into your nginx proxy manager /data/nginx/custom/ folder. If the folder custom does not exist, please create it.
  5. For each of your proxy hosts on Nginx Proxy Manager, add a line to the advanced tab - "access_log /data/logs/NAME-json.log json_analytics;" replace NAME with the name you want to use.
  6. Start the docker container
  7. Add data source into grafana
  8. Import the dashboard file and set the new data source

start docker on the same host where nginx proxy manger runs

docker run --name npmgraf -it
-v /home/docker/nginx-proxy-manager/data/logs:/logs \
-v /home/docker/nginx-proxy-manager/GeoLite2-City.mmdb:/GeoLite2-City.mmdb \
-e HOME_IPS="192.168.0.*\|192.168.10.*" \
-e INFLUX_USER=admin -e INFLUX_PW=password \
-e INFLUX_DB=nginxproxymanagergraf \
-e INFLUX_HOST=192.168.0.189 \
-e INFLUX_PORT=8086 \
makarai/nginx-proxy-manager-graf

world map

SELECT count("IP") AS "counts" FROM "ReverseProxyConnections" WHERE $timeFilter GROUP BY "latitude", "longitude", "IP"

Obviously I'd appreciate a grafana Wiz to add some things here :) first time i worked with grafana.

https://github.com/jc21/nginx-proxy-manager

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