test: bundle fixture corpus + wire local-path test helpers
Adds inst/extdata/fixture_corpus/ — a 3.6 MB two-year (2019/2020) slice of the published corpus (OH+VT+WY fixture from cog_pipeline test profile plus all 50 states). Includes canonical_fips_xwalk.parquet, summary_categories.parquet, docs/, and a trimmed manifest.json. setup.R now points USCOGDATA_URL at the bundled fixture automatically, bypassing HTTP / Nextcloud entirely. DuckDB reads local parquet via the existing .is_local_path() fast-path in manifest.R; no httpfs required. session is reset between test files via withr::defer(cog_close()). helper-fixture.R gains fixture_corpus_path(), a richer skip_if_no_corpus() that checks the bundled fixture first, and with_fixture_corpus() for tests that need explicit session isolation. test-spending.R: adjust the inflate-column test to use 2019 (fixture year) instead of 2015 (absent from fixture). Result: 181 PASS / 0 FAIL / 0 SKIP — all tests run against real parquet data with real DuckDB queries and no network dependency.
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{
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"schema_version": 3,
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"built_at": "2026-04-27T16:43:46Z",
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"pipeline_commit": "899af37",
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"fixture_note": "Two-year (2019-2020) fixture for uscogdata tests. Full corpus available via USCOGDATA_URL.",
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"data_vintage": {
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"census_source_downloaded": "unknown",
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"cpi_vintage": "FRED CPIAUCSL",
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"acs_vintage": "ACS 2018-2022 5-year"
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},
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"scope": {
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"gov_types_included": [
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0,
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1,
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2,
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3
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],
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"gov_types_excluded": [
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4,
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5
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],
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"scope_note": "v0.1 covers state, county, city/municipality, and township governments. Special districts (type 4) and school districts (type 5) are excluded pending validation in a future cycle."
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},
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"schema": {
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"long_column_count": 24,
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"long_columns": [
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"fips_state",
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"type",
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"fips_county",
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"govid",
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"gov_blank",
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"gov_name",
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"county_name",
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"fips_state_code",
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"fips_county_code",
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"fips_place_code",
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"population",
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"popyear",
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"enrollment",
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"enrollyear",
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"function_code",
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"sch_level_code",
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"fiscal_year_end",
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"srvy_year",
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"item_code",
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"amt",
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"srv_data",
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"impute_flag",
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"is_aggregate",
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"canonical_govid"
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],
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"data_dictionary": "docs/data_dictionary.md"
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},
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"files": {
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"long_partitions": [
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{
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"year": 2019,
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"path": "data/long/year=2019/part-0.parquet",
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"sha256": "e1c9f426c6d7d3c51d06b3a652473b987b304836619c213f019cee4887714daa",
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"row_count": 318139,
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"size_bytes": 1424231
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},
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{
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"year": 2020,
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"path": "data/long/year=2020/part-0.parquet",
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"sha256": "9b795853a848e8c955c80261b96b79630fc77394dcfb1a1ca288e2cd634053a3",
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"row_count": 317500,
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"size_bytes": 1427150
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}
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],
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"metadata": [
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{
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"path": "data/canonical_fips_xwalk.parquet",
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"sha256": "86e53e04a35f6f90bb74bb1a273e053392afa782d6f518e3e3da9c976d47f7af",
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"description": "canonical_fips_xwalk.parquet"
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},
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{
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"path": "data/summary_categories.parquet",
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"sha256": "60045e22bc2723318fa2cb73f8e5038250dc54d24b3447c6750dfe29035335b8",
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"description": "summary_categories.parquet"
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}
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]
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},
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"series_breaks_ref": "docs/series_breaks.md",
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"reader_spec_ref": "docs/reader-specification.md"
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}
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