jared
c682e6547d
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$units_conversion. Every result carries an attr(., "provenance") list matching inst/schemas/provenance-v1.json. cog_explain() prints the structured form via cli or returns the raw list for MCP/JSON consumers. Also: .fetch_or_cache_manifest() now handles local fixture paths so tests can point USCOGDATA_FIXTURE_URL at the pipeline publish_cache/ without a working HTTP server. Tests: 80 pass / 0 fail. devtools::check() 0E/0W/2N (both notes pre-existing / environmental).
39 lines
1.4 KiB
R
39 lines
1.4 KiB
R
test_that("cog_revenue returns expected shape for Broward Property Tax 2020", {
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skip_if_no_corpus()
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r <- cog_revenue("101006006", years = 2020L, category = "Property Tax")
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expect_s3_class(r, "tbl_df")
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expected_cols <- c("year", "canonical_govid", "gov_name", "revenue_subtype",
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"category", "amt_nominal", "codes_included",
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"aggregate_fallback", "notes")
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expect_true(all(expected_cols %in% names(r)))
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expect_equal(unique(r$canonical_govid), "101006006")
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expect_equal(unique(r$year), 2020L)
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})
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test_that("cog_revenue with no category filter returns multiple categories", {
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skip_if_no_corpus()
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r <- cog_revenue("101006006", years = 2020L)
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expect_gt(length(unique(r$category)), 1L)
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})
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test_that("cog_revenue with per_capita + adjust_to_year adds all columns", {
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skip_if_no_corpus()
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r <- cog_revenue("101006006", 2020L,
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per_capita = TRUE, adjust_to_year = 2022L)
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expect_true(all(c("amt_nominal", "amt_real",
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"amt_per_capita_nominal", "amt_per_capita_real") %in%
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names(r)))
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})
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test_that("cog_revenue result has provenance attribute", {
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skip_if_no_corpus()
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r <- cog_revenue("101006006", 2020L)
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prov <- attr(r, "provenance")
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expect_equal(prov$verb, "cog_revenue")
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expect_true(grepl("revenue_annotated", prov$sql_query))
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})
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test_that("cog_revenue rejects invalid inputs", {
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expect_error(cog_revenue(123, 2020L), "character")
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})
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