Tracks the corpus published 2026-07-30, which adds category_type = 'balance'
(pipeline#76) and the I/Q/Y flow codes (pipeline#78) -- the crosswalk
prerequisite for #11's three-concept expenditure model.
Fixture crosswalk goes 291 -> 324 rows and gains balance_subtype. Only three
files change (series_breaks, summary_categories, manifest); no long partition
moves, because the published change was metadata-only.
test-categories.R's vocabulary assertions extended for the new values:
category_type gains 'balance', spending subtypes gain 'interest' and
'insurance_benefits', revenue subtypes gain 'insurance_trust'.
cog_categories() is a catalogue verb so it surfaces every category_type the
corpus carries; the stock/flow guard belongs on the money verbs.
Suite: 0 failures, 2 skips (the #11 and #12 blocks).
The fixture predated three shipped corpus changes at once: no J rows in
summary_categories (it was built before the crosswalk completion), no
representation.parquet or code_set.parquet, and a still-dense wide era.
Every test in this package and in cog-api runs against it, so both suites
were green against a corpus that no longer exists. This is #18's stated
prerequisite; it proves nothing about production until it lands.
Regenerated from the publish tree at pipeline_commit 83f9715 (schema v6,
built 2026-07-29). FY2011 goes from 2,864,212 rows to 496,004 -- 82.7% of
the old partition was explicit zeros -- and the fixture now ships all ten
publish-tree metadata tables rather than six. The generator's file list is
a single constant now, so the copy step and the manifest step cannot drift.
Three test repairs, each a real consequence of sparsification rather than
a number to bump:
test-categories.R "assistance" joined the spending subtype
vocabulary with the J-prefix codes.
test-spending.R The harmonization block counts rows that
exist. Broward's E21/F21/G21 were zero-pads
and are gone, so the anchor moves to FL state,
whose three NA-mapped rows carry $2.83B --
the amount accounting was previously asserted
only against 0 and could not have caught a
bug. Broward keeps a test of its own, now
asserting the zero-pads are absent.
test-expenditure-concept.R Coverage-gap suggestions are presence-based.
AL state's only FY2011 B47 cell was an
explicit zero, so ig_federal_b47_wide stopped
being a candidate there; FL state carries a
real amount, so the counterpart guard is
exercised against a suggestion that fires.
test-fixture-vintage.R pins the structural facts that separate this vintage
from its predecessor -- the ten metadata tables, the dense/sparse
representation contract, zero explicit zeros in FY2011, code_set coverage,
and J19's category. Checked against the old fixture: FY2011 carried
2,368,208 explicit zeros, so the assertion discriminates rather than
merely passing.
Suites: uscogdata 594 pass / 0 fail / 6 skip (was 576/0/6).
cog-api 357 pass / 0 fail / 8 skip against the regenerated fixture,
unchanged from its baseline.
Picks up pipeline PR #59: summary_categories now carries 66 M/L rows under
spend_subtype = intergovernmental (194 -> 260 rows).
cog_categories() (R/categories.R) has no item-code prefix filter, so the new
IG rows surface immediately as a third spend subtype; this broke
test-categories.R:18's closed enumeration. Adjudicated (2026-07-27): this is
correct behavior, not a regression -- cog_categories() is a discovery verb
documented to surface valid category values, and after Task 3 lands users
will see spend_subtype = intergovernmental in cog_spending(expenditure_concept
= total) results. Widened the subtype assertion and added positive coverage
asserting the intergovernmental subtype and that it reuses existing functional
categories (plus Other Education, pipeline #58). R/categories.R itself is
unchanged -- its behavior was already right.
Suite: PASS 469, FAIL 0 (baseline 467 + widened assertion + 2 new
expectations).
Discovery verb over the summary_categories view, grouped one row per
(category, subtype). Parallels cog_gov_search: analysts use it to
find the valid `category` values to pass into cog_spending(),
cog_revenue(), cog_geographic_rollup().
Columns: category, category_type, subtype, n_codes, item_codes
(comma-separated, alphabetical). Optional filters:
type = NULL | "spending" | "revenue"
pattern = regex matched case-insensitively on category
The user-facing "spending" alias is translated internally to the
corpus-native "expenditure" so callers don't have to learn Census
vocabulary, while the returned category_type column preserves the
native value for auditability.
Also: fix @noRd placement in session.R so devtools::document() stops
warning.
Tests: +16 new / 181 total pass. check 0E/0W/0N.
jared