Sparsification (cog_pipeline#64, SB194) stopped the corpus storing the wide
era's explicit zeros, which made absence ambiguous:
<= FY2011 dense_source absent => Census published $0
>= FY2012 sparse_source absent => not reported, unknown
A wide-era query whose cells were all $0 had begun returning nothing at all,
with no way to get them back -- strictly less than the reader exposed before,
which is why #64 filed this follow-on.
complete = TRUE fills the requested grid from `code_set` and stamps every row
with value_source: "reported", "census_zero" (amt 0), or "not_reported"
(amt NA). The NA is the point. Filling a modern absence with 0 would invent
data, which is exactly the error the representation contract exists to
prevent -- and it makes this strictly MORE informative than the
pre-sparsification corpus, which could not tell a published zero from an
unreported cell either.
Measured on the fixture, Broward County: FY2011 returns 28 reported + 16
census_zero; FY2019 returns 30 reported + 14 not_reported. The five
categories that walkthrough finding F-006 read as "retired at FY2012" now
report themselves correctly as census_zero before and not_reported after.
Scoping decisions, each of which would invent rows if taken loosely:
- The grid is per government TYPE (code_set.type). Filling against the
union of all types would give a county cells like "state IG transfer to
school districts", indistinguishable from real census zeros.
- NOT is_aggregate, mirroring spending_long/revenue_long. Without it the
grid offers cells those views never return, so each would fill as a
phantom $0.
- Filling happens BEFORE per_capita and inflation, so a census_zero stays
0 through both and a not_reported stays NA rather than becoming 0.
Two new views (36-representation, 37-code_set) are gated on the manifest
LISTING those tables, not on schema_version. Sparsification did not bump the
version -- the fixture this package shipped against until 2026-07-30 was
already v6 and carried neither table -- so a version gate would register a
view over a missing file and fail at CREATE VIEW time on exactly the corpora
the check exists to tolerate. with_corpus_missing_representation() models
that corpus and asserts the abort.
Refused where the fill would be guesswork, both classed
uscogdata_complete_unsupported: a recipe defines its own component codes and
never touches summary_categories; the intergovernmental leg deliberately
keeps aggregate rows (inst/sql/24-ig_long.sql) so its cells are not the ones
code_set describes.
Expected cell sets in the tests are computed from the corpus parquet
directly, never through the verb -- verifying what a filter does through
that same filter proves nothing.
Closes DoD 2, 3 and 4 of #18. DoD 5 (the cog-api follow-on) is filed
separately.
Suite: 658 pass / 0 fail / 3 skip (was 629/0/3). rcmdcheck clean.
The three kodor/fix issues, taken over after a day with no branch, PR or
comment on any of them. Batched because each is single-file with a committed
acceptance test, and two share documentation surfaces.
#16 (F-025) -- cog_gov_search() utility mode interpolated `name` straight
into regexp_matches() unescaped, while basket mode in the same file already
routed it through .escape_regex() with the comment "so `name` is treated as
a literal substring". Two failure modes, both HTTP 200 through the API:
a government could not be found by its own complete name when that name
contains a metacharacter (FREDONIA (BRISCOE) CITY returned nothing), and a
bare "." matched all 608 Wisconsin cities. Malformed pattern text reached
the engine as an error, which cog-api surfaced as a 500 -- reachable by
typing a real name one character at a time ("Athens-Clarke County (bal").
Utility mode now calls the escaper that already existed. Roxygen updated:
utility mode is documented as a literal case-insensitive substring match,
and the basket-mode "substring fallback" step no longer describes itself as
a regex either.
BEHAVIOUR CHANGE worth flagging: anchored exact-match searches stop
working, because there is no regex left to anchor. Two existing tests used
"^BROWARD COUNTY$" and "^FLORIDA$" as their exact-match idiom; both now
search for those characters literally. Updated to the bare names, which
still resolve to exactly one row each once scoped by state/type (verified,
not assumed). There is no exact-match option in utility mode any more --
noted on the issue, since that is a real if small capability loss.
#15 (F-004) -- the raw Census files report thousands of dollars; this
package multiplies by 1000 and returns full US dollars. Correct, and already
stated in ?cog_spending / ?cog_revenue @return, in provenance, and in
cog-api's data-dictionary. Absent from every surface a reader meets FIRST.
Added to README.md as its own section and to both vignettes' openings.
The dangerous one is cog_explorer/CLAUDE.md, which states the opposite rule
("All raw `amt` values are in $1,000s") without scoping it to the raw column
-- a reader applying that to amt_nominal overstates by 1000x and gets a
plausible-looking number rather than an obvious error. Fixed there too; that
directory has no git remote, so it rides in no PR and is left uncommitted
for the owner.
#14 (F-021) -- .peer_summary_rows() computes stats::quantile() separately
inside each (year, spend_subtype, category) cell, so a summary_p50 row is
"the median peer's value in that one category", never "the value of the
median peer's total" -- the median peer for Police and for Fire are usually
different governments. Summing them across categories misstated a
total-spending band by -32.7% to +251.0% across 24 years, with a sign flip
at FY2012. The verb is right and its documented use (facet by role AND
category) is unaffected, so the fix is @return prose plus a worked snippet
showing the correct computation: sum each peer's own categories first, then
take the quantile of those per-government totals.
This is the R-side counterpart of cog-api#9, fixed on the API surface
earlier today; the wording is deliberately consistent across the two.
Note the phrase "not additive" has to stay on one roxygen source line --
the test greps the generated Rd, where a line wrap turns it into
"not additive" and stops matching. Cost one red run to find.
man/ regenerated with roxygen 8.0.0 against a repo built with 7.3.3, so
cog_spending.Rd and DESCRIPTION were reverted -- their entire diff was
version churn (reindentation, RoxygenNote -> Config/roxygen2/version) with
no content change. The two Rd files kept carry only the edits above.
Suite: 629 pass / 0 fail / 3 skip (was 606/0/6). The three remaining skips
are #11, #12 and #13.
C1: spending_long/spending_long_harmonized filter NOT is_aggregate but
ig_long deliberately doesn't (legacy IG lives on aggregate rows), so a
legacy aggregate-only family (e.g. Corrections pre-2012) can survive on
the IG leg while Direct is suppressed. expenditure_concept = "total"
then UNIONs an IG-only figure that reads as a plausible Total, and the
coverage-gap suggestion machinery -- fed the UNION'd result -- saw the
surviving IG row as coverage and stayed silent.
(a) .build_suggestions() is now fed a Direct-leg-only view of the
result (IG rows filtered out before the gap-years computation),
so the recipe hints fire for "total" exactly as they do for
"direct".
(b) Any row where IG has dollars but Direct has none for the same
(year, canonical_govid, category) is now flagged: the row's
`notes` name the recovering recipe (drawn from the Direct-leg
suggestions), and provenance gains an explicit
`expenditure_concept_direct_suppressed` boolean plus an appended
warning on `expenditure_concept_note` -- both cheap for a
downstream consumer (cog-api passes provenance through verbatim)
to test, rather than silently asserting Direct + IG when that
arithmetic didn't happen.
Measured before/after on AL state government, Corrections, 2011:
"total" already correctly returns the corpus's actual IG-only figure
($31,358,000, vs. true Direct of $521,651,000 via recipe =
"corrections_combined"), but before this fix it did so with 0
suggestions and an unqualified "Total = Direct + IG" note; after, it
fires 3 recipe hints and both the row notes and provenance say plainly
that Direct is unavailable through this basis.
C2: the 66 M/L summary_categories rows arrived via cog_pipeline PR #59
with no schema_version bump, so schema_version can't gate "total" --
a pre-#59 corpus can report any supported schema_version and still
have zero M/L category rows, in which case ig_annotated's LEFT JOIN
silently produces NA category/spend_subtype (0 rows for a specific
category, or one invisible NA-subtype group for category = NULL). New
.require_ig_categories() checks summary_categories directly and aborts
with class uscogdata_ig_categories_unsupported, naming PR #59 and
directing the user to a newer corpus.
Reconciles tests/testthat/test-views.R's v4-shaped-corpus test (whose
synthetic summary_categories carries only one E36 row) by asserting
the new guard fires against that same connection, rather than leaving
the two silently contradictory.
Owner ruling R1. Combining Census Total across governments counts
intergovernmental transfers twice, and these results land in Tableau where a
warning would be invisible -- so this is a hard error whose message names the
fix and the reason.
Nine review items on the expenditure_concept = direct|total feature:
- bool_and(is_aggregate) -> bool_or(is_aggregate) for aggregate_fallback:
bool_and silently misreported $5,740,775,000 of aggregate-sourced IG
dollars (AL state 2011) as aggregate_fallback = FALSE, because the dense
wide-era data puts a $0 leaf row in the same group as the real aggregate
row. bool_or is a no-op for Direct/Revenue (verified: 0 mismatched groups
across both tables) and correct for the IG leg.
- Added a year-disjointness invariant test for the four legacy
aggregate/leaf IG pairs (M47/M94, M89/M91-93, L47/L94, L89/L91-93),
scoped to the aggregate flag rather than bare code presence (M89/L89
continue past 2011 as independent, non-aggregate leaves).
- Extended the real-SQL-text/synthetic-parquet harness in test-views.R to
pin ig_long/ig_long_harmonized's predicates directly (aggregate rows
retained, NULL harmonized_code coalesced, L-- excluded), rather than
relying on one fixture row's incidental shape.
- Added a test proving the .harmonization_view_files schema-v5 guard is
necessary (not just incidental) against a corpus whose `long` genuinely
lacks a harmonized_code column, and rewrote the misleading "v5-only
parquet files" comment to name both real reasons a file is gated.
- Fixed an NA-fragile subtype filter, extended the expected-view-list
test, guarded .verb_spendrev() against total on a non-spending
view_base, added a roxygen caveat against summing total across levels
of government, and replaced an uncheckable corpus-wide SQL comment
figure with a fixture-verifiable one.
Full suite: 485/0/0 -> 503/0/0 (18 new expectations, zero pre-existing
value changed).
total adds an intergovernmental leg (M = to local, L = to state) as a UNION ALL
over new ig_annotated views. The IG leg deliberately skips NOT is_aggregate --
legacy IG lives almost entirely on aggregate rows, and the aggregate codes are
year-disjoint from their modern leaf components, so nothing double-counts.
L-- (the IG-to-state family total) is excluded. direct is the default and is
numerically unchanged.
test-views.R's harmonized-view test previously ran a hand-rolled REPLACE
query with no WHERE clause, so a regression in any of
inst/sql/22-spending_long_harmonized.sql / 23-revenue_long_harmonized.sql's
three predicates (NOT is_aggregate, harmonized_code IS NOT NULL, the
E/F/G/K or T/A/U/B/C/D prefix filter) would go uncaught. Replaced it with a
test that reads the real SQL files off disk, substitutes {url} exactly as
.register_views() does, and executes them (plus their 10-long.sql
dependency) against a synthetic hive-partitioned parquet tree written via
DuckDB's own COPY ... TO (FORMAT PARQUET) (no arrow dependency, matching
this package's existing convention). Ten rows are crafted so each predicate
is independently falsifiable by a specific row; manually broke each
predicate in turn to confirm the test fails exactly as expected, then
restored the SQL files (see the task report for the RED-phase transcript).
Also fixes a provenance ambiguity: a recipe= query bypasses
spending_annotated(_harmonized)/revenue_annotated(_harmonized) entirely
(.run_recipe() joins `long` directly), so basis= has no effect on it, but
provenance was still reporting basis = "harmonized"/"raw" (whatever the
argument resolved to) with harmonization$applied = FALSE alongside it --
misleading, since it looks like harmonization was evaluated and found
nothing to exclude rather than "not applicable here." Recipe results now
report basis = "recipe" with an inert harmonization block carrying an
explicit note, regardless of what basis= was passed.
Adds cog_recipes() to list the curated harmonization_recipes catalog (24
recipes / schema_version >= 5), and a recipe= argument on cog_spending()/
cog_revenue() that runs a recipe's generic multi-code join instead of the
category view: SUM(amt * weight) across whichever component codes are
present for a (year, canonical_govid), scoped by gov_type_scope. The join
deliberately does not filter is_aggregate -- the wide era (<= 2011) exposes
these split families (corrections 04+05, IG *89/*47, U4- rents, etc.) ONLY
as aggregate rows, with leaf codes first appearing in 2012, so excluding
aggregates would zero out the wide-era half of every recipe. This is safe
by corpus construction: wide-era rows are aggregate-only, modern rows are
leaf-only, and every component is year-scoped, so there is no
double-counting. recipe= is mutually exclusive with category=; the result's
subtype column reads "recipe" and category reads the recipe's label.
Adds recipe-component-driven signposting: when a basis="harmonized" +
category query comes back with zero rows in a requested year, and a
harmonization recipe covering that category would actually produce rows
for this government in that year (via the same join .run_recipe() uses),
the recipe is surfaced in provenance$suggestions plus one
cli::cli_inform() message. This is deliberately keyed off recipe
components rather than harmonization_map's suggested_recipe_id column
(which is empty on every live row -- the wide era's split families are
NA-by-construction via aggregate exclusion, not an NA ruling to hang a
suggestion off of).
Also populates the previously-always-empty provenance$series_break_refs
(schema v5 only: series_breaks_pq rows whose fin_code is among the
observed codes and whose break_year falls in the requested span), and
extends cog_explain() with Basis/Harmonization/Recipe/Suggestions/Series
breaks sections.
Adds schema_version 5 support alongside the existing v4 corpus:
.validate_schema() now accepts a supported set (4, 5) instead of a single
expected version, and cog_spending()/cog_revenue() gain basis =
c("harmonized", "raw"). Harmonized basis routes to new
spending_annotated_harmonized / revenue_annotated_harmonized views built on
spending_long_harmonized / revenue_long_harmonized (REPLACE(harmonized_code
AS item_code), excluding aggregate and NA-harmonized rows); raw basis is
byte-identical to the pre-Phase-R2 behavior. On a v4 corpus, an unspecified
basis silently resolves to "raw" with a provenance note; an explicit
basis = "harmonized" aborts with an actionable message.
Provenance gains basis, basis_note, and a harmonization block
(applied/na_rows_excluded/na_amount_excluded). The five new schema-v5-only
SQL views (harmonized long/annotated views, harmonization_map,
harmonization_recipes, series_breaks_pq) are registered conditionally on
manifest$schema_version >= 5, since DuckDB's read_parquet() errors eagerly
at CREATE VIEW time when the backing file doesn't exist on a v4 corpus.
Fixture corpus regenerated to schema_version 5 / years 2011, 2012, 2019,
2020 (2011->2012 spans the wide-aggregate -> modern-leaf format boundary
needed for the harmonization/recipe work), with the harmonization_map /
harmonization_recipes / series_breaks parquet tables bundled alongside the
existing metadata registries.
cog_geographic_rollup(per_capita = TRUE) now drops rows whose government
has no observed population for that year (pop_source == 'unavailable'),
matching the spec's exclusion rule. Records included/excluded govids in
provenance$rollup.
Adds optional 'year' argument (defaults to most recent observed year for
the target). Filters and ranks candidates by gov_population_yearly.population
at that year. Returned column renamed population_acs -> population.
Cohort year attached as attr(x, 'cohort_year').
Adds .resolve_cohort_year() helper. Updates test assertions to use
'population' column name. Regenerates man/cog_find_peers.Rd.
Adds full @description, @details (algorithm), @examples on
cog_gov_search(); examples on cog_basket_resolution() /
cog_basket_unresolved(); NEWS.md entry covering the new mode and
the pattern->name rename; pkgdown reference entries for the two
new exports.
Sidecar accessors for basket-mode results. cog_basket_resolution()
returns the full resolution tibble (drops candidates list-col by
default for readable printing). cog_basket_unresolved() filters to
ambiguous/no_match rows for iterative refinement.
Pre-rename in preparation for basket mode. All existing callers in this
package and cog_explorer/ pass the first argument positionally, so this
rename is non-breaking. No deprecation alias added per design spec
(no external consumers; package is pre-release v0.1.0).
@param roxygen also updated to match the new formal; man/cog_gov_search.Rd
regenerated via devtools::document().
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.
Three pieces:
1. cog_gov_search: name/state/type search over canonical_fips_xwalk
for resolving human-readable place names into canonical_govids.
Accepts USPS abbrev ('FL') or FIPS int (12) for state; integer
0-3 or name ('state','county','city','township') for type. Types
4/5 emit an explanatory cli message and return an empty tibble
(v0.1 corpus excludes them). USPS<->FIPS table hardcoded with
50 states + DC + territories; FIPS 66 = GU (not GA).
2. cog_mirror: downloads manifest-listed files to a local directory
with SHA-256 idempotency (files with matching hash return status
'cached'). Supports HTTP and local-path fixture URLs. Round-trip
test: mirror + re-open against the mirror + query Broward 2020
returns identical results.
3. Scope-aware verbs: .check_govids_in_scope() helper in session.R
queries canonical_fips_xwalk for the requested govids, emits a
cli_inform listing any missing ones, and records the found/missing
sets under provenance$scope. Wired into cog_spending (and
transitively into cog_revenue, cog_geographic_rollup,
cog_peer_compare via their cog_spending calls).
Also: dropped dbplyr from Imports (unused).
Tests: +29 (22 search + 12 mirror - 5 refactored) / 159 total pass.
devtools::check() now clean: 0E / 0W / 0N.
cog_find_peers selects peers from canonical_fips_xwalk by same-type,
same-state, and population-range (ratio or absolute) criteria,
ordered by |log(pop_ratio)| ascending.
cog_peer_compare accepts the find_peers result (or a plain character
vector of govids), pulls spending for target + peers via cog_spending,
and appends summary rows (summary_p25/p50/p75) so the whole result
can be faceted by `role` in a single ggplot call. Summary rows honor
per_capita + adjust_to_year by picking the right value column.
target_rank reports the target's rank among target+peers at max(years).
Provenance is rewritten with verb = cog_peer_compare and peer_count.
Also: globalVariables('.data') in zzz.R to silence R CMD check on
tidy-eval pronouns.
Tests: 21 new / 120 total pass. devtools::check() 0E/0W/2N.
Wraps cog_spending across a named list of state/county/city layers,
tagging each row with its `layer` and attaching a scope_note that
documents geographic-scope caveats (state totals are statewide, county
totals include areas outside a listed city, city proper excludes
special districts). Per-capita uses each layer's own population from
the canonical_fips_xwalk.
Provenance is inherited from cog_spending but rewritten to reflect
the outer verb (verb, call, layers).
Tests: 19 new / 99 total pass. devtools::check() 0E/0W/2N.
Three core query verbs over the spending_annotated / revenue_annotated
DuckDB views. Each verb accepts vector govid, vector years, optional
category filter, per_capita flag, and adjust_to_year for CPI-U
real-dollar conversion (bundled index).
Amounts are returned in full USD (SUM(amt) * 1000) so callers can
freely rescale to millions/billions. The $1,000s -> $USD conversion
is recorded in provenance$transformations$units_conversion.
Every result carries an attr(., "provenance") list matching
inst/schemas/provenance-v1.json. cog_explain() prints the structured
form via cli or returns the raw list for MCP/JSON consumers.
Also: .fetch_or_cache_manifest() now handles local fixture paths so
tests can point USCOGDATA_FIXTURE_URL at the pipeline publish_cache/
without a working HTTP server.
Tests: 80 pass / 0 fail. devtools::check() 0E/0W/2N (both notes
pre-existing / environmental).
jared