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Versioning data in a long term data store# Supporting existing systemic aspects
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Discussion of the viability of modelling using a general programming language and having the discerning body access common interfaces, maybe compare with modelling in a modelled format. There is already this discussion in this knowledge base, i think a discussion more scoped to the viability of the interfaces is good. Play through some examples of modelling reality system components and having a imagined discerning body interpret them. Using the modelled modelling format is easier to conceptualise, maybe start with that
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Make deserialiser not freak out when a field marked with NotRequired isnt present
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Construct concept of general long term format which is then made to be complient with different long term stores such as json or tabular for example. Functions like
getIntrinsicValueFromDictionaryRepresentationcould take a compliance set arg or just be compliance set specific -
Cleanup of the solution to overcome the initiation of the knownStoreInterfaces from the config store as the config store is being loaded, setting a state upon the loading functions seems nicer than passing data through all of the chains
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Addition of mass data manipulation with delayed loading structure Potential performance bottlenecks Retrieving data from a long term store
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debugging code that we dont want to occur at a full speed runtime, maybe layer them on with delta change system