Simple Python code for fetching and deserialising experiment data.
This is a simple set of tools for fetching data from Kafka and deserialising it - it is purely for diagnostic purposes.
The schemas for the various data-types are found in the following repository: https://github.com/ess-dmsc/streaming-data-types
If the schema changes then new Python code will have to generated using flatc:
flatc.exe -p -o "SchemaFolderName" "Schema.fbs"