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uscogdata/tests/testthat/test-expenditure-concepts.R
jared 93300ae0c1
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feat: three-concept expenditure model classified by crosswalk membership (#11)
Rewrites expenditure/revenue classification off item-code first-letter
prefixes and onto summary_categories membership (F-018: prefix Y spans
revenue, expenditure, and balance codes), and exposes
expenditure_concept = c("primary", "direct", "total") with primary as
the new default:

  primary = operations + capital + assistance
  direct  = primary + interest + insurance_benefits   (Census Direct)
  total   = direct + intergovernmental                (M/L/Q via ig views)

- inst/sql: flow views (20-25) select by crosswalk membership;
  summary_categories moves to 11- so it registers before them (DuckDB
  binds view sources eagerly). The IG leg gains Q11/Q12/Q18 state
  school-system payments (F-017).
- R: one subtype scope per verb call drives the verb SQL, the
  harmonization exclusion count, and the complete = TRUE grid;
  flow_prefixes survives only to scope recipe suggestions.
  cog_geographic_rollup/cog_peer_compare accept primary|direct, still
  refuse total, and now actually pass the concept through.
- Balance codes can never reach a spending or revenue result
  (uscogdata#25), asserted at both view and verb level.
- Deletes the #11 skip; per the 2026-07-30 owner ruling the F-018 Y01
  proof is asserted against the crosswalk, not the default
  cog_revenue() call (which stays General Revenue pending #12).

Suite: 696 pass / 0 fail / 1 skip (#12, expected).

Closes #11
2026-07-30 16:56:50 -04:00

113 lines
6.0 KiB
R

# Madison walkthrough audit -- findings F-012, F-017, F-018.
# Tracked as uscogdata#11. See docs/walkthroughs/FINDINGS.md in cog_explorer.
#
# The owner's settled three-concept model (2026-07-28):
# total = primary + interest + intergovernmental transfers
# direct = primary + interest (Census's published Direct Expenditure)
# primary = direct minus debt service (the NEW DEFAULT)
# implemented by reclassifying on the crosswalk's `spend_type` column, NOT on
# item-code first letters -- F-018 shows prefix `Y` carries both revenue
# (Y01/Y02) and expenditure (Y05/Y06) codes, so no first-letter allowlist can
# route them correctly.
#
# Fixture reproducibility: the finding's headline reconciliation is Madison
# FY2022, where the corpus carries I89 = 46,609 (thousands) and Census's
# published Direct Expenditure is $654,893,000 against cog_spending()'s
# $608,284,000 (-7.1%). FY2022 is outside the bundled fixture's year window
# (2011/2012/2019/2020), so the same invariant is asserted on FY2020, where the
# fixture carries I89 = 27,704. Anyone running against the full corpus should
# also check the FY2022 numbers above.
test_that("expenditure concepts classify on spend_type, not item-code prefix", {
mad <- "552025209777" # MADISON CITY, WI
wi_state <- "550000227544" # WISCONSIN (state government)
# -- F-012: `primary` is the new default, and equals today's E/F/G figure ---
primary <- cog_spending(govid = mad, years = 2020L)
expect_equal(attr(primary, "provenance")$expenditure_concept, "primary")
expect_equal(sum(primary$amt_nominal), 623347000)
# -- F-012: `direct` adds interest on long-term debt ------------------------
# Expected interest read from the RAW corpus, never through cog_spending(),
# which is the filter under test.
interest <- wt_raw_amt(mad, 2020L, prefixes = "I")
expect_equal(interest, 27704) # I89, in $1,000s
direct <- cog_spending(govid = mad, years = 2020L, expenditure_concept = "direct")
expect_equal(sum(direct$amt_nominal), 651051000) # 623,347 + 27,704 thousands
expect_equal(sum(direct$amt_nominal) - sum(primary$amt_nominal), interest * 1000)
expect_true("I89" %in% wt_codes_included(direct))
# -- F-017: `total` carries Q12/Q18, state IG transfers to school districts --
# Wisconsin FY2019: Q12 = 6,431,530 and Q18 = 533,391 (thousands). Today
# neither verb's flow_prefixes contains "Q", so both are dropped from the one
# concept that is supposed to include intergovernmental transfers.
ig_expected <- wt_raw_amt(wi_state, 2019L, prefixes = c("M", "L", "Q"))
expect_equal(ig_expected, 11609814) # M 4,644,893 + Q 6,964,921
wi_direct <- cog_spending(govid = wi_state, years = 2019L,
expenditure_concept = "direct")
wi_total <- cog_spending(govid = wi_state, years = 2019L,
expenditure_concept = "total")
# total - direct is exactly the intergovernmental component. Asserted as a
# delta rather than a grand total so this stays correct however the J and Y
# families land inside `primary`.
expect_equal(sum(wi_total$amt_nominal) - sum(wi_direct$amt_nominal),
ig_expected * 1000)
expect_true(all(c("Q12", "Q18") %in% wt_codes_included(wi_total)))
# -- F-018: prefix Y splits revenue from expenditure, by spend_type ---------
# Y01/Y02 are Insurance Trust revenue; Y05/Y06 are Insurance Trust benefit
# payments. All four share the first letter `Y`, so no first-letter allowlist
# can route them. The proof that classification is crosswalk-keyed:
# Y05 lands in `total` spending (insurance_benefits is inside `direct`),
# while Y01 -- same prefix -- is classified `revenue` by the crosswalk and
# therefore can never appear in a spending result.
#
# Per the owner's 2026-07-30 ruling (#11 DoD item 4 vs #12), cog_revenue()'s
# DEFAULT stays Census General Revenue and so excludes insurance-trust
# revenue; Y01's revenue-side classification is asserted against the
# crosswalk itself, not the default call. Surfacing Y01 through an explicit
# revenue concept argument is uscogdata#12.
wi_revenue <- cog_revenue(govid = wi_state, years = 2019L)
spend_codes <- wt_codes_included(wi_total)
rev_codes <- wt_codes_included(wi_revenue)
expect_true("Y05" %in% spend_codes)
expect_false("Y05" %in% rev_codes)
expect_false("Y01" %in% spend_codes)
expect_false("Y01" %in% rev_codes) # default = general revenue (#12 ruling)
con <- uscogdata:::.ensure_session()
y_class <- DBI::dbGetQuery(con,
"SELECT item_code, category_type, spend_subtype, revenue_subtype
FROM summary_categories WHERE item_code IN ('Y01', 'Y05')")
expect_equal(y_class$category_type[y_class$item_code == "Y01"], "revenue")
expect_equal(y_class$revenue_subtype[y_class$item_code == "Y01"], "insurance_trust")
expect_equal(y_class$category_type[y_class$item_code == "Y05"], "expenditure")
expect_equal(y_class$spend_subtype[y_class$item_code == "Y05"], "insurance_benefits")
})
test_that("no balance code or category ever reaches a spending or revenue result (uscogdata#25)", {
# Stocks are not flows. The crosswalk's balance codes (W/X/Y/Z fund
# balances) share first letters with flow codes, so this could never be
# guaranteed under prefix classification; under crosswalk membership it
# falls out structurally -- asserted here at the verb level, on a
# government-year the fixture gives real balance rows (Wisconsin carries
# Y07/Y08/Y21/Y61-type balances in FY2019).
wi_state <- "550000227544"
con <- uscogdata:::.ensure_session()
balance <- DBI::dbGetQuery(con,
"SELECT item_code, category FROM summary_categories WHERE category_type = 'balance'")
expect_gt(nrow(balance), 0L)
spend <- cog_spending(wi_state, 2019L, expenditure_concept = "total")
rev <- cog_revenue(wi_state, 2019L)
expect_false(any(spend$category %in% balance$category))
expect_false(any(rev$category %in% balance$category))
expect_length(intersect(wt_codes_included(spend), balance$item_code), 0L)
expect_length(intersect(wt_codes_included(rev), balance$item_code), 0L)
})