Add entity-level HDFStore output format alongside h5py#568
Draft
Add entity-level HDFStore output format alongside h5py#568
Conversation
The stacked_dataset_builder now produces a Pandas HDFStore file (.hdfstore.h5) in addition to the existing h5py file. The HDFStore contains one table per entity (person, household, tax_unit, spm_unit, family, marital_unit) plus an embedded _variable_metadata manifest recording each variable's entity and uprating parameter path. The upload pipeline uploads HDFStore files to dedicated subdirectories (states_hdfstore/, districts_hdfstore/, cities_hdfstore/). A comparison test (test_format_comparison.py) validates that both formats contain identical data for all variables. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Draft
5 tasks
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
1 participant
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Fixes #567
Summary
stacked_dataset_builder.pynow produces a Pandas HDFStore file (.hdfstore.h5) alongside the existing h5py file, with one table per entity and an embedded uprating manifeststates_hdfstore/,districts_hdfstore/,cities_hdfstore/)Test plan
stacked_dataset_builderon a single CD/state and confirm both.h5and.hdfstore.h5files are createdpytest test_format_comparison.py --h5py-path STATE.h5 --hdfstore-path STATE.hdfstore.h5and confirm all variables match_variable_metadatamanifest with correct entity and uprating columns🤖 Generated with Claude Code