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.
M5: README.md described the bundled fixture as a "3.6 MB two-year slice
(2019 + 2020)"; it's now a 15 MB four-year slice (2011, 2012, 2019,
2020), matching the regenerated fixture and the vignette's own
description.
M2: total-spending.Rmd cited County 1.8% / City 0.8% intergovernmental-
to-Direct and County 91.6% L/M, all roughly 2x off against the bundled
fixture. Measured directly against the fixture (all 50 states, each of
its four years): County IG/Direct 3.4%-5.1%, City IG/Direct 2.6%-3.1%,
County L/M 43%-51% (all varying by year). State 17.2%, AL 7.6%,
national 11.6%, and City L/M 188.3% were re-checked and left as-is.
M1: the "Why Total = Direct + M + L" paragraph described money a local
government *receives* and the state "redistributing as M" -- backwards.
M and L are both the *queried* government's own payments *out*: M to
other local governments, L up to its state. Rewrote the explanation;
the conclusion and non-M2-flagged figures are unchanged.
Task 7 (final) of the expenditure_concept plan. The vignette leads with the
two archetype questions -- a single government's own trend (either concept
works, held fixed across years) vs a cross-government rollup (direct only,
with the refusal error from cog_geographic_rollup() shown and explained) --
walked through with code that runs against the bundled fixture corpus
(years 2011/2012/2019/2020, substituting for "2017 vs today"). Explains the
double-counting mechanism (a state's M44 payment to a county is the same
dollar as the county's own E44/F44), why Total = Direct + M + L rather than
Direct + M, and the composition rules (expenditure_concept is orthogonal to
basis, mutually exclusive with recipe). README gets a short pointer section
with the one-line rule.
jared