Comments (4)
Comment by elijahbenizzy
Saturday Jun 04, 2022 at 21:34 GMT
Interesting... Another approach is to use some version of pandas that traces the actions and delays it (I bet koalas does something like this, or ibis), then use the intermediate data representation to compile to hamilton.
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Comment by elijahbenizzy
Saturday Oct 29, 2022 at 17:07 GMT
Started working on this -- got a rough POC working but its fairly complicated and wasn't worth my time.
What I'd love is doing this on the "intro to hamilton" web-page -- live conversion with an example we can get to. Will take another stab with my old prototype.
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OK, revisiting this, gpt-4 could be really good here... gpt-3.5 was able to do this decently...
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#583 gets this started
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Related Issues (20)
- Umbrella Issue: Lifecycle Adapter Ideas HOT 2
- Add data source sinks for Polars Lazyframe implementation
- Add sources for missing Polars inputs
- Slack notifier. Have one that can notify a slack channel on error.
- Error cleanly when no output requested using .materialize
- Add xarray example
- `check_output_custom` could pass the information about the feature definition to the output validators HOT 4
- Pandas spss HOT 1
- Streamlining materializer definition HOT 1
- Lifecycle adapter for automatic schema evolution
- Adapter mapping types to pyarrow
- `.visualize_execution()` doesn't show config nodes
- Improve API for `.execute()` all nodes HOT 10
- pandas fwf
- TDQM hook with overrides HOT 2
- Deprecate dependency on `networkx` for `sf-hamilton[visualization]`
- `__repr__` of `HamiltonNode` is hard to read
- `Config` node missing from legend
- Add `Builder.with_materializers()`
- `UX` Hamilton Project
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