improved the README.md documentation with the latest development changes

README.md

@@ -3,11 +3,35 @@
 - Simple Python script that fetches data from a predefined Fronius inverter.
 - Displays: timestamp, current production and how much has been produced during the (day, year) so far.
 
+## Configure environment
+
+- Use the <docker_compose.yml> to start and setup your InfluxDB and Grafana environments.
+- Launch the environment with, for example, 'docker compose docker_compose.yml up -d"
+
+### Setup InfluxDB
+
+- Create an user with password and a bucket to be used for saving the solar panel data.
+- Create two APIs: i) one for the script ii) one for Grafana. The script could have both read and write access rights, Grafana needs reading rights.
+
+### Setup Grafana
+
+- Create a data source connection to InfluxDB.
+- Choose Flux as the query language.
+- Setup the http-connection as 'http://influxdb:8086'.
+- Setup to InfuxDB Details section: organization, Token and Default Bucket.
+- Save and Test.
+- You should have now a working connection to your InfluxDB and can start making visualizations.
+
+### Configuration settings
+
+- Update the config.json file with the relevant information from InfluxDB setup, ie. token, org and bucket.
+
 ## Script execution
 
 - Create a virtual environment with 'python3 -m venv test_env'
 - Activate the environment with 'source test_env/bin/activate'
 - Install the required package with 'pip install -r requirements.txt'
+- Setup the infrastructure. Currently the setup used Grafana and InfluxDB, which are running in separate Docker environments.
 - Execute in the terminal with the following command: 'python3 fronius.py'
 - After script execution the data is fetched from the inverter and trimmed as output.
 - If you don't wish to keep the virtual environment then deactivate it with 'deactivate'.
@@ -22,9 +46,11 @@ There's also a possibility to use a example response message in a Docker environ
 - The Dockerfile can be found from [here](web_server).
 - Example message message [here](web_server/GetPowerFlowRealtimeData.fcgi).
 - If you use the Docker environment the URL must be defined like your Docker environment has been
-started up. For example: '<http://localhost:8080/GetPowerFlowRealtimeData.fcgi>'.
+ started up. For example: '<http://localhost:8080/GetPowerFlowRealtimeData.fcgi>'.
 
 ## Next steps
 
-- Save the data to a database.
-- Visualize the data.
+- Improve documentation
+- Create sample visualizations.
+- Create sample config for default bucket.
+- Improve the script.