jared
7d798b9937
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).
94 lines
3.8 KiB
R
94 lines
3.8 KiB
R
test_that("cog_categories returns all categories grouped by subtype", {
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skip_if_no_corpus()
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r <- cog_categories()
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expect_s3_class(r, "tbl_df")
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expected <- c("category", "category_type", "subtype",
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"n_codes", "item_codes")
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expect_true(all(expected %in% names(r)))
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expect_gt(nrow(r), 10L)
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# corpus preserves Census-native "expenditure" vocabulary; the API takes
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# "spending" as a friendlier alias.
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#
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# `balance` joined as a third category_type with the cash-and-security
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# holding codes (pipeline#76). `cog_categories()` is a CATALOGUE verb, not a
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# money verb, so it surfaces every category_type the corpus carries -- the
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# stock/flow guard belongs on cog_spending()/cog_revenue(), which must never
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# return a balance row.
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expect_setequal(unique(r$category_type),
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c("expenditure", "revenue", "balance"))
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})
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test_that("cog_categories(type = 'spending') returns only expenditure rows", {
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skip_if_no_corpus()
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r <- cog_categories(type = "spending")
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expect_true(all(r$category_type == "expenditure"))
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# "assistance" (the J-prefix aid/benefit codes) joined the vocabulary with
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# the crosswalk completion in cog_pipeline#60/#65 -- every flow code
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# carrying dollars now maps to a category.
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# `interest` (I89, I91-I94) and `insurance_benefits` (Y05/Y06/Y14/Y53)
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# joined with the I/Q/Y flow batch -- the last two characters of Census's
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# expenditure taxonomy. `interest` is what makes the three-concept model
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# computable: primary = direct minus debt service.
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expect_true(all(r$subtype %in%
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c("operations", "capital", "intergovernmental", "assistance",
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"interest", "insurance_benefits")))
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})
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test_that("cog_categories surfaces the intergovernmental spending subtype", {
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skip_if_no_corpus()
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r <- cog_categories(type = "spending")
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expect_true("intergovernmental" %in% r$subtype)
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# IG rows reuse the existing functional categories -- they add a subtype,
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# not new category values.
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ig_cats <- sort(unique(r$category[r$subtype == "intergovernmental"]))
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direct_cats <- sort(unique(r$category[r$subtype != "intergovernmental"]))
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expect_true(all(ig_cats %in% c(direct_cats, "Other Education")))
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})
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test_that("cog_categories(type = 'revenue') returns only revenue rows", {
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skip_if_no_corpus()
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r <- cog_categories(type = "revenue")
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expect_true(all(r$category_type == "revenue"))
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# `insurance_trust` (Y01/Y02/Y04/Y11/Y12/Y51/Y52) is deliberately NOT
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# own_source: Census's "General Revenue" excludes insurance trust revenue,
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# and Y01 alone is $1.31T corpus-wide.
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expect_true(all(r$subtype %in%
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c("own_source", "federal", "state", "local_aid",
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"insurance_trust")))
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})
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test_that("cog_categories(pattern = ...) filters case-insensitively", {
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skip_if_no_corpus()
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r <- cog_categories(pattern = "police")
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expect_gt(nrow(r), 0L)
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expect_true(all(grepl("Police", r$category, ignore.case = TRUE)))
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})
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test_that("cog_categories has one row per (category, subtype)", {
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skip_if_no_corpus()
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r <- cog_categories()
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key <- paste(r$category, r$subtype, sep = "|")
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expect_equal(length(key), length(unique(key)))
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})
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test_that("cog_categories item_codes is non-empty comma-separated string", {
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skip_if_no_corpus()
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r <- cog_categories()
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expect_true(all(nzchar(r$item_codes)))
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expect_true(all(r$n_codes >= 1L))
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# n_codes should equal count of commas + 1
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expect_equal(r$n_codes,
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vapply(strsplit(r$item_codes, ","), length, integer(1)))
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})
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test_that("cog_categories sorted by category_type, category, subtype", {
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skip_if_no_corpus()
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r <- cog_categories()
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sorted <- r[order(r$category_type, r$category, r$subtype), ]
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expect_identical(r, sorted)
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})
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test_that("cog_categories rejects invalid type", {
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expect_error(cog_categories(type = "both"), "type")
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})
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