Three pieces:
1. cog_gov_search: name/state/type search over canonical_fips_xwalk
for resolving human-readable place names into canonical_govids.
Accepts USPS abbrev ('FL') or FIPS int (12) for state; integer
0-3 or name ('state','county','city','township') for type. Types
4/5 emit an explanatory cli message and return an empty tibble
(v0.1 corpus excludes them). USPS<->FIPS table hardcoded with
50 states + DC + territories; FIPS 66 = GU (not GA).
2. cog_mirror: downloads manifest-listed files to a local directory
with SHA-256 idempotency (files with matching hash return status
'cached'). Supports HTTP and local-path fixture URLs. Round-trip
test: mirror + re-open against the mirror + query Broward 2020
returns identical results.
3. Scope-aware verbs: .check_govids_in_scope() helper in session.R
queries canonical_fips_xwalk for the requested govids, emits a
cli_inform listing any missing ones, and records the found/missing
sets under provenance$scope. Wired into cog_spending (and
transitively into cog_revenue, cog_geographic_rollup,
cog_peer_compare via their cog_spending calls).
Also: dropped dbplyr from Imports (unused).
Tests: +29 (22 search + 12 mirror - 5 refactored) / 159 total pass.
devtools::check() now clean: 0E / 0W / 0N.
75 lines
2.1 KiB
R
75 lines
2.1 KiB
R
test_that("cog_gov_search by name pattern returns matches", {
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skip_if_no_corpus()
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r <- cog_gov_search("^BROWARD")
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expect_s3_class(r, "tbl_df")
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expect_true(all(grepl("^BROWARD", r$gov_name)))
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expect_true("canonical_govid" %in% names(r))
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})
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test_that("cog_gov_search case-insensitive", {
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skip_if_no_corpus()
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r <- cog_gov_search("broward")
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expect_gt(nrow(r), 0L)
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})
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test_that("cog_gov_search by state abbreviation", {
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skip_if_no_corpus()
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r <- cog_gov_search(state = "FL", type = 1L)
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expect_true(all(r$fips_state == "12"))
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expect_true(all(r$govs_type == 1L))
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})
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test_that("cog_gov_search accepts FIPS int for state", {
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skip_if_no_corpus()
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r <- cog_gov_search(state = 12, type = "county")
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expect_true(all(r$fips_state == "12"))
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expect_true(all(r$govs_type == 1L))
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})
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test_that("cog_gov_search accepts type as name string", {
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skip_if_no_corpus()
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for (pair in list(c("state", 0), c("county", 1), c("city", 2), c("township", 3))) {
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r <- cog_gov_search(type = pair[1])
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expect_true(all(r$govs_type == as.integer(pair[2])))
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}
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})
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test_that("cog_gov_search for excluded types emits message and returns empty", {
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skip_if_no_corpus()
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expect_message(
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r <- cog_gov_search(type = 4L),
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"v0.1|excluded"
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)
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expect_equal(nrow(r), 0L)
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expect_true("canonical_govid" %in% names(r))
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expect_message(
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r2 <- cog_gov_search(type = "special_district"),
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"v0.1|excluded"
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)
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expect_equal(nrow(r2), 0L)
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})
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test_that("cog_gov_search combining filters", {
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skip_if_no_corpus()
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r <- cog_gov_search("BROWARD", state = "FL")
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expect_true(all(grepl("BROWARD", r$gov_name)))
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expect_true(all(r$fips_state == "12"))
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})
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test_that("cog_gov_search sorts by population desc", {
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skip_if_no_corpus()
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r <- cog_gov_search(state = "FL", type = 2L)
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nonNA <- r$population_acs[!is.na(r$population_acs)]
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expect_true(all(diff(nonNA) <= 0))
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})
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test_that("cog_gov_search rejects unknown type string", {
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expect_error(cog_gov_search(type = "galaxy"), "Unknown type")
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})
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test_that("cog_gov_search with no filters returns full registry", {
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skip_if_no_corpus()
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r <- cog_gov_search()
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expect_gt(nrow(r), 1000L)
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})
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