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This one weird trick turns JSON documents into semantic graph databases!
The pull query and the graphql query are homomorphic, so it would be cool to think about how we could plug these things together. https://blog.codeship.com/an-introduction-to-graphql-via-the-github-api/
my argument is readibility: when you specify a dict, then there are many ":" which (imho) decreases readibility, compare ``` 'mock:type': 'mock.type:seq', 'mock.seq:id': 'a1', 'mock.seq:string': 'ACTGA', 'mock:description': 'some foo from...
Once we're out of alpha/beta we should just NEVER BREAK THE SCHEMA! Because then you'll have to get into having to figure out how to load different data in different...
There's an entity api via `tp.entity(entity_id)` that lets you traverse the graph as a "live" graph of connected dicts. There might also need to be some cardinality or reverse lookup...
We want a collection of utilities for representing and working with sequence, tree and tabular data. This will involve some data modelling work, tooling for slurping/spitting to standard formats, and...
Probably a wiki page or .md file in docs. Should go a little more in depth into how things affect us in bioinformatics, and what these things might look like...
No mention of the EAV index option for assert_facts or as a file format option next to lists of dicts.
Right now it's possible to query reverse relationships by using an underscore after the namespace separator (so the reverse relation for `person:parent` would be `person:_parent`, and would map from parents...
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This one weird trick turns JSON documents into semantic graph databases!