Found another place where we deepcopy a dict, but it is safe to mutate.
Restructured the prep logic a bit to support this. Updated tests to use the new structure.
- Avoid pydantic models when dict manipulation works
- Avoid extraneous deep copies when we can safely mutate
- Avoid NamedTuple construct and its overhead
- Fix tests to use altered function signatures
- Remove extraneous populate_graph function
Unfortunately we cannot do strict floats or ints.
The batch data models don't specify the value types, it instead relies on pydantic parsing. JSON doesn't differentiate between float and int, so a float `1.0` gets parsed as `1` in python.
As a result, we _must_ accept mixed floats and ints for BatchDatum.items.
Tests and validation updated to handle this.
Maybe we should update the BatchDatum model to have a `type` field? Then we could parse as float or int, depending on the inputs...
