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

tests/testthat/test-complete.R

@@ -14,9 +14,11 @@
 
 # The (subtype, category) cells that SHOULD exist for one government-year:
 # every code in force for that government's type, mapped through
-# summary_categories, matching the verb's flow prefixes and excluding
-# aggregate-flagged codes (which spending_long/revenue_long drop).
-raw_expected_cells <- function(govid, year, prefixes, subtype_col) {
+# summary_categories, matching the verb's crosswalk subtype scope (the
+# default concept, `primary`, is operations/capital/assistance -- see
+# uscogdata#11) and excluding aggregate-flagged codes (which
+# spending_long/revenue_long drop).
+raw_expected_cells <- function(govid, year, subtypes, subtype_col) {
   fx <- sub("/$", "", Sys.getenv("USCOGDATA_URL"))
   q <- function(f) sprintf("read_parquet('%s/data/%s')", fx, f)
   wt_raw_query(sprintf(
@@ -27,15 +29,18 @@ raw_expected_cells <- function(govid, year, prefixes, subtype_col) {
      WHERE x.canonical_govid = '%s'
        AND cs.year = %d
        AND NOT cs.is_aggregate
-       AND LEFT(cs.item_code, 1) IN (%s)
        AND c.category IS NOT NULL
-       AND c.%s IS NOT NULL",
+       AND c.%s IN (%s)",
     subtype_col, q("code_set.parquet"), q("canonical_fips_xwalk.parquet"),
     q("summary_categories.parquet"), govid, year,
-    paste0("'", prefixes, "'", collapse = ","), subtype_col
+    subtype_col, paste0("'", subtypes, "'", collapse = ",")
   ))
 }
 
+# The default expenditure concept's subtype scope, mirrored from
+# R/spending.R's .spend_subtypes_primary.
+primary_subtypes <- c("operations", "capital", "assistance")
+
 test_that("complete = FALSE is the default and changes nothing", {
   skip_if_no_corpus()
   with_fixture_corpus({
@@ -54,7 +59,7 @@ test_that("complete = TRUE round-trips a dense-source year to the pre-sparsifica
     # reproduce that cell set exactly.
     r <- cog_spending("121011212191", 2011L, complete = TRUE)
     expected <- raw_expected_cells("121011212191", 2011L,
-                                   c("E", "F", "G"), "spend_subtype")
+                                   primary_subtypes, "spend_subtype")
 
     key <- function(sub, cat) paste(sub, cat, sep = "|")
     expect_setequal(key(r$spend_subtype, r$category),
@@ -108,7 +113,7 @@ test_that("the fill is scoped to each government's own type", {
     # code_set puts in force for type 1 (county) specifically.
     r <- cog_spending("121011212191", 2011L, complete = TRUE)
     county_cells <- raw_expected_cells("121011212191", 2011L,
-                                       c("E", "F", "G"), "spend_subtype")
+                                       primary_subtypes, "spend_subtype")
     expect_true(all(r$category %in% county_cells$category))
   })
 })
@@ -128,7 +133,7 @@ test_that("cog_revenue() completes on its own flow", {
   with_fixture_corpus({
     r <- cog_revenue("121011212191", 2011L, complete = TRUE)
     expected <- raw_expected_cells("121011212191", 2011L,
-                                   c("T", "A", "U", "B", "C", "D"),
+                                   c("own_source", "federal", "state", "local_aid"),
                                    "revenue_subtype")
     key <- function(sub, cat) paste(sub, cat, sep = "|")
     expect_setequal(key(r$revenue_subtype, r$category),

tests/testthat/test-expenditure-concept.R

@@ -13,9 +13,13 @@ test_that("the corpus contains no K-prefix rows, so the Direct leg omits K", {
   }
 })
 
-test_that("expenditure_concept defaults to direct and preserves today's numbers", {
+test_that("expenditure_concept defaults to primary; direct matches it on a pure operations/capital category", {
   gov <- "010000226085"                      # Alabama state government
   base <- cog_spending(gov, years = 2019, category = "Police")
+  expect_equal(attr(base, "provenance")$expenditure_concept, "primary")
+  # Police maps only to operations/capital codes (E62/F62/G62), so the
+  # direct concept's extra subtypes (interest, insurance_benefits) cannot
+  # contribute and the two concepts must agree exactly here.
   expl <- cog_spending(gov, years = 2019, category = "Police",
                        expenditure_concept = "direct")
   expect_equal(base$amt_nominal, expl$amt_nominal)
@@ -59,7 +63,9 @@ test_that("the IG leg never includes the L-- family total", {
   codes <- DBI::dbGetQuery(con,
     "SELECT DISTINCT item_code FROM ig_long")$item_code
   expect_false(any(grepl("--$", codes)))
-  expect_true(all(substr(codes, 1, 1) %in% c("M", "L")))
+  # Q joined the IG family with the crosswalk-membership rewrite
+  # (uscogdata#11 / F-017: Q11/Q12/Q18 are state payments to school systems).
+  expect_true(all(substr(codes, 1, 1) %in% c("M", "L", "Q")))
 })
 
 test_that("expenditure_concept rejects unknown values", {
@@ -246,9 +252,12 @@ test_that("both cross-government verbs still accept the direct default", {
 })
 
 test_that("provenance always records the expenditure concept", {
-  d <- cog_spending("010000226085", years = 2019, category = "Police")
+  p <- cog_spending("010000226085", years = 2019, category = "Police")
+  d <- cog_spending("010000226085", years = 2019, category = "Police",
+                    expenditure_concept = "direct")
   t <- cog_spending("010000226085", years = 2019, category = "Police",
                     expenditure_concept = "total")
+  expect_equal(attr(p, "provenance")$expenditure_concept, "primary")
   expect_equal(attr(d, "provenance")$expenditure_concept, "direct")
   expect_equal(attr(t, "provenance")$expenditure_concept, "total")
   # The note explains the non-obvious part: how legacy IG was assembled.

tests/testthat/test-expenditure-concepts.R

@@ -19,8 +19,6 @@
 # also check the FY2022 numbers above.
 
 test_that("expenditure concepts classify on spend_type, not item-code prefix", {
-  testthat::skip("Blocked on uscogdata#11 (findings F-012, F-017, F-018)")
-
   mad      <- "552025209777"   # MADISON CITY, WI
   wi_state <- "550000227544"   # WISCONSIN (state government)
 
@@ -61,15 +59,54 @@ test_that("expenditure concepts classify on spend_type, not item-code prefix", {
 
   # -- 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` and the spend_type
-  # "Insurance Trust", so this pair of assertions is the concrete proof that
-  # classification is no longer keyed on the first letter.
+  # 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_true("Y01" %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)
 })

tests/testthat/test-explain.R

@@ -83,7 +83,7 @@ test_that("cog_explain prints the expenditure concept (I1)", {
     capture.output(cog_explain(t)),
     capture.output(cog_explain(t), type = "message")
   ), collapse = "\n")
-  expect_true(grepl("Concept: direct", txt_d))
+  expect_true(grepl("Concept: primary", txt_d))
   expect_true(grepl("Concept: total", txt_t))
 })
 

tests/testthat/test-views.R

@@ -36,8 +36,8 @@ test_that("inst/sql/22- and 23- harmonized views enforce every WHERE predicate (
   # {url} exactly as .register_views() does, and executes them -- plus
   # their 10-long.sql dependency -- against a synthetic hive-partitioned
   # parquet tree written to a temp dir. A regression in any predicate (e.g.
-  # `NOT is_aggregate` dropped, the prefix list changed, the NULL guard
-  # removed) would change which of the rows below survive.
+  # `NOT is_aggregate` dropped, the crosswalk-membership subquery changed,
+  # the NULL guard removed) would change which of the rows below survive.
   #
   # The synthetic parquet is written with DuckDB's own COPY ... TO (FORMAT
   # PARQUET) rather than the arrow package: this package has no arrow
@@ -61,25 +61,45 @@ test_that("inst/sql/22- and 23- harmonized views enforce every WHERE predicate (
         ('spend-B', 'E38', 50,     false, 'E36'), -- collapse-fold: passes every predicate, renamed to E36
         ('spend-C', 'E05', 999999, true,  'E05'), -- excluded ONLY by `NOT is_aggregate`
         ('spend-D', 'E99', 888888, false, NULL),  -- excluded by `harmonized_code IS NOT NULL`
-        -- 'S74' is outside BOTH flow families (E/F/G/K spending and
-        -- T/A/U/B/C/D revenue -- it mirrors the real corpus's own
-        -- non-flow-type codes like S74/Z61), so it can only leak into
-        -- EITHER view via the E/F/G/K or T/A/U/B/C/D prefix filter, never
-        -- both at once -- a prefix drawn from the other view's own family
-        -- (e.g. a real T-code for the spending row) would incorrectly
-        -- leak into the other view's assertion below and not discriminate
-        -- the predicate under test.
-        ('spend-E', 'S74', 777777, false, 'S74'), -- excluded ONLY by the E/F/G/K prefix filter
-        -- Revenue (T/A/U/B/C/D) rows, exercised against revenue_long_harmonized:
+        -- 'S74' and 'Z61' are classified `balance` in the synthetic
+        -- crosswalk below (mirroring the real corpus's own non-flow codes),
+        -- so each is excluded from its view ONLY by the crosswalk-membership
+        -- subquery -- the mechanism that replaced the prefix allowlists
+        -- (uscogdata#11) and keeps balance stocks out of both flows
+        -- (uscogdata#25).
+        ('spend-E', 'S74', 777777, false, 'S74'), -- excluded ONLY by crosswalk membership (balance)
+        -- Revenue rows, exercised against revenue_long_harmonized:
         ('rev-A',   'U11', 200,    false, 'U11'), -- control: passes every predicate as-is
         ('rev-B',   'U10', 25,     false, 'U11'), -- collapse-fold: passes every predicate, renamed to U11
         ('rev-C',   'T29', 555555, true,  'T29'), -- excluded ONLY by `NOT is_aggregate`
         ('rev-D',   'T88', 444444, false, NULL),  -- excluded by `harmonized_code IS NOT NULL`
-        ('rev-E',   'Z61', 333333, false, 'Z61')  -- excluded ONLY by the T/A/U/B/C/D prefix filter
+        ('rev-E',   'Z61', 333333, false, 'Z61')  -- excluded ONLY by crosswalk membership (balance)
       ) AS t(canonical_govid, item_code, amt, is_aggregate, harmonized_code)
     ) TO %s (FORMAT PARQUET)
   ", uscogdata:::.sql_lit_chr(part_path)))
 
+  # The flow views classify by membership in summary_categories, so the
+  # synthetic corpus needs one too. Every flow code above is a member of its
+  # own flow (so is_aggregate / NULL-harmonized exclusions stay the SOLE
+  # excluder for those rows); S74/Z61 are members but classified balance, so
+  # membership itself is what excludes them.
+  DBI::dbExecute(write_con, sprintf("
+    COPY (
+      SELECT * FROM (VALUES
+        ('E36', 'Water Utilities',  'expenditure', 'operations', NULL),
+        ('E38', 'Water Utilities',  'expenditure', 'operations', NULL),
+        ('E05', 'Corrections',      'expenditure', 'operations', NULL),
+        ('E99', 'Other',            'expenditure', 'operations', NULL),
+        ('S74', 'Fund Balances',    'balance',     NULL,         NULL),
+        ('U11', 'Interest Earnings','revenue',     NULL,         'own_source'),
+        ('U10', 'Interest Earnings','revenue',     NULL,         'own_source'),
+        ('T29', 'Other Taxes',      'revenue',     NULL,         'own_source'),
+        ('T88', 'Other Taxes',      'revenue',     NULL,         'own_source'),
+        ('Z61', 'Fund Balances',    'balance',     NULL,         NULL)
+      ) AS t(item_code, category, category_type, spend_subtype, revenue_subtype)
+    ) TO %s (FORMAT PARQUET)
+  ", uscogdata:::.sql_lit_chr(file.path(tmp, "data", "summary_categories.parquet"))))
+
   sql_dir <- system.file("sql", package = "uscogdata")
   .read_view_sql <- function(filename) {
     txt <- paste(readLines(file.path(sql_dir, filename), warn = FALSE), collapse = "\n")
@@ -89,6 +109,7 @@ test_that("inst/sql/22- and 23- harmonized views enforce every WHERE predicate (
   con <- DBI::dbConnect(duckdb::duckdb())
   on.exit(DBI::dbDisconnect(con, shutdown = TRUE), add = TRUE)
   DBI::dbExecute(con, .read_view_sql("10-long.sql"))
+  DBI::dbExecute(con, .read_view_sql("11-summary_categories.sql"))
   DBI::dbExecute(con, .read_view_sql("22-spending_long_harmonized.sql"))
   DBI::dbExecute(con, .read_view_sql("23-revenue_long_harmonized.sql"))
 
@@ -97,8 +118,8 @@ test_that("inst/sql/22- and 23- harmonized views enforce every WHERE predicate (
      GROUP BY item_code ORDER BY item_code"
   )
   # Exactly one surviving row: spend-C (aggregate), spend-D (NULL
-  # harmonized_code), and spend-E (wrong prefix family) must all be gone,
-  # and spend-A + spend-B must be folded together under E36.
+  # harmonized_code), and spend-E (balance, not an expenditure member) must
+  # all be gone, and spend-A + spend-B must be folded together under E36.
   expect_equal(nrow(spend), 1L)
   expect_equal(spend$item_code, "E36")
   expect_equal(spend$amt, 150)
@@ -138,12 +159,27 @@ test_that("inst/sql/24- and 25- IG views retain aggregates, COALESCE NULL harmon
         ('ig-A', 'M04', 100,   false, 'M04'), -- control: passes through as-is
         ('ig-B', 'M38', 50,    false, 'M36'), -- fold control: real SB012 rule, renamed to M36 under harmonized basis
         ('ig-C', 'M47', 99999, true,  NULL),  -- legacy aggregate, NO harmonized_code: must survive BOTH views
-        ('ig-D', 'L--', 55555, false, 'L--'), -- family total: excluded from BOTH views
-        ('ig-E', 'T29', 44444, false, 'T29')  -- wrong prefix (revenue, not M/L): excluded from BOTH views
+        ('ig-D', 'L--', 55555, false, 'L--'), -- family total: deliberately NOT a crosswalk member, excluded from BOTH views
+        ('ig-E', 'T29', 44444, false, 'T29')  -- revenue member, not intergovernmental: excluded from BOTH views
       ) AS t(canonical_govid, item_code, amt, is_aggregate, harmonized_code)
     ) TO %s (FORMAT PARQUET)
   ", uscogdata:::.sql_lit_chr(part_path)))
 
+  # The IG views classify by summary_categories membership
+  # (spend_subtype = 'intergovernmental'). L-- is deliberately absent --
+  # exactly as it is from the real crosswalk -- which is what excludes it.
+  DBI::dbExecute(write_con, sprintf("
+    COPY (
+      SELECT * FROM (VALUES
+        ('M04', 'Corrections', 'expenditure', 'intergovernmental', NULL),
+        ('M38', 'Health',      'expenditure', 'intergovernmental', NULL),
+        ('M36', 'Health',      'expenditure', 'intergovernmental', NULL),
+        ('M47', 'IG Other',    'expenditure', 'intergovernmental', NULL),
+        ('T29', 'Other Taxes', 'revenue',     NULL,                'own_source')
+      ) AS t(item_code, category, category_type, spend_subtype, revenue_subtype)
+    ) TO %s (FORMAT PARQUET)
+  ", uscogdata:::.sql_lit_chr(file.path(tmp, "data", "summary_categories.parquet"))))
+
   sql_dir <- system.file("sql", package = "uscogdata")
   .read_view_sql <- function(filename) {
     txt <- paste(readLines(file.path(sql_dir, filename), warn = FALSE), collapse = "\n")
@@ -153,6 +189,7 @@ test_that("inst/sql/24- and 25- IG views retain aggregates, COALESCE NULL harmon
   con <- DBI::dbConnect(duckdb::duckdb())
   on.exit(DBI::dbDisconnect(con, shutdown = TRUE), add = TRUE)
   DBI::dbExecute(con, .read_view_sql("10-long.sql"))
+  DBI::dbExecute(con, .read_view_sql("11-summary_categories.sql"))
   DBI::dbExecute(con, .read_view_sql("24-ig_long.sql"))
   DBI::dbExecute(con, .read_view_sql("25-ig_long_harmonized.sql"))
 
@@ -160,8 +197,9 @@ test_that("inst/sql/24- and 25- IG views retain aggregates, COALESCE NULL harmon
     "SELECT item_code, SUM(amt) AS amt FROM ig_long
      GROUP BY item_code ORDER BY item_code"
   )
-  # L-- (family total) and T29 (wrong prefix) are gone; the aggregate row
-  # M47 survives -- proof `NOT is_aggregate` is absent from ig_long.
+  # L-- (family total, not a member) and T29 (revenue, not IG) are gone; the
+  # aggregate row M47 survives -- proof `NOT is_aggregate` is absent from
+  # ig_long.
   expect_equal(raw$item_code, c("M04", "M38", "M47"))
   expect_equal(raw$amt, c(100, 50, 99999))
 
@@ -322,14 +360,32 @@ test_that(".harmonization_view_files guard is necessary: registration against a
   )
 })
 
-test_that("spending_long filters to E/F/G/K prefixes and excludes aggregates", {
+test_that("spending_long carries exactly the non-IG expenditure crosswalk codes and excludes aggregates", {
   skip_if_no_corpus()
   con <- cog_open()
   on.exit(cog_close())
-  prefixes <- DBI::dbGetQuery(con,
-    "SELECT DISTINCT LEFT(item_code, 1) AS pfx FROM spending_long"
-  )$pfx
-  expect_true(all(prefixes %in% c("E", "F", "G", "K")))
+
+  # Classification is crosswalk membership, not prefixes (uscogdata#11):
+  # every row's code must classify as expenditure and never as
+  # intergovernmental (which lives in ig_long).
+  stray <- DBI::dbGetQuery(con,
+    "SELECT DISTINCT s.item_code
+     FROM spending_long s
+     LEFT JOIN summary_categories c USING (item_code)
+     WHERE c.category_type IS DISTINCT FROM 'expenditure'
+        OR c.spend_subtype = 'intergovernmental'"
+  )$item_code
+  expect_length(stray, 0L)
+
+  # Balance codes are stocks, not flows -- they must never appear in a
+  # spending result (uscogdata#25). Prefix filtering could not guarantee
+  # this (W/X/Y/Z balance codes share letters with flow codes).
+  balance_n <- DBI::dbGetQuery(con,
+    "SELECT count(*) AS n FROM spending_long WHERE item_code IN (
+       SELECT item_code FROM summary_categories WHERE category_type = 'balance'
+     )"
+  )$n
+  expect_equal(balance_n, 0)
 
   agg_count <- DBI::dbGetQuery(con,
     "SELECT count(*) AS n FROM spending_long WHERE is_aggregate"
@@ -337,14 +393,29 @@ test_that("spending_long filters to E/F/G/K prefixes and excludes aggregates", {
   expect_equal(agg_count, 0)
 })
 
-test_that("revenue_long filters to T/A/U/B/C/D prefixes and excludes aggregates", {
+test_that("revenue_long carries exactly the general-revenue crosswalk codes and excludes aggregates", {
   skip_if_no_corpus()
   con <- cog_open()
   on.exit(cog_close())
-  prefixes <- DBI::dbGetQuery(con,
-    "SELECT DISTINCT LEFT(item_code, 1) AS pfx FROM revenue_long"
-  )$pfx
-  expect_true(all(prefixes %in% c("T", "A", "U", "B", "C", "D")))
+
+  # General Revenue scope: revenue crosswalk members minus insurance_trust
+  # (owner ruling 2026-07-30; an explicit wider concept is uscogdata#12).
+  stray <- DBI::dbGetQuery(con,
+    "SELECT DISTINCT s.item_code
+     FROM revenue_long s
+     LEFT JOIN summary_categories c USING (item_code)
+     WHERE c.category_type IS DISTINCT FROM 'revenue'
+        OR c.revenue_subtype = 'insurance_trust'"
+  )$item_code
+  expect_length(stray, 0L)
+
+  # No balance stock ever appears in a revenue result (uscogdata#25).
+  balance_n <- DBI::dbGetQuery(con,
+    "SELECT count(*) AS n FROM revenue_long WHERE item_code IN (
+       SELECT item_code FROM summary_categories WHERE category_type = 'balance'
+     )"
+  )$n
+  expect_equal(balance_n, 0)
 
   agg_count <- DBI::dbGetQuery(con,
     "SELECT count(*) AS n FROM revenue_long WHERE is_aggregate"