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Description
Concept for first quick version:
- Take existing CML data and metadata from a file, in our case the small OpenMRG example data in a NetCDF
- Parse it and generate fake real-time data by altering the time stamps and loop the existing data, e.g. every hour (for now, but later, with larger example data this could also be a 1-year loop)
- Push data via sftp (and later also via other options, https as JSON, or via Kafka, but do not implement these now) to a server (to be defined in a config file) at a certain frequency (define in the config file) using credentials (also in the config file and secret key etc stored locally)
Ideally there could be two Python files, one for generating fake data, one for sftp upload so that both the generation process and the transfer can be extneded later.
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