jared 7818cd2b1a feat: basis= harmonized/raw with v4/v5 dual-accept
Adds schema_version 5 support alongside the existing v4 corpus:
.validate_schema() now accepts a supported set (4, 5) instead of a single
expected version, and cog_spending()/cog_revenue() gain basis =
c("harmonized", "raw"). Harmonized basis routes to new
spending_annotated_harmonized / revenue_annotated_harmonized views built on
spending_long_harmonized / revenue_long_harmonized (REPLACE(harmonized_code
AS item_code), excluding aggregate and NA-harmonized rows); raw basis is
byte-identical to the pre-Phase-R2 behavior. On a v4 corpus, an unspecified
basis silently resolves to "raw" with a provenance note; an explicit
basis = "harmonized" aborts with an actionable message.

Provenance gains basis, basis_note, and a harmonization block
(applied/na_rows_excluded/na_amount_excluded). The five new schema-v5-only
SQL views (harmonized long/annotated views, harmonization_map,
harmonization_recipes, series_breaks_pq) are registered conditionally on
manifest$schema_version >= 5, since DuckDB's read_parquet() errors eagerly
at CREATE VIEW time when the backing file doesn't exist on a v4 corpus.

Fixture corpus regenerated to schema_version 5 / years 2011, 2012, 2019,
2020 (2011->2012 spans the wide-aggregate -> modern-leaf format boundary
needed for the harmonization/recipe work), with the harmonization_map /
harmonization_recipes / series_breaks parquet tables bundled alongside the
existing metadata registries.
2026-07-18 23:19:17 -04:00

uscogdata

Curated R reader for the Civilytics US Census of Governments finance corpus.

Provides unit-level financial profiles, geographic rollups, and peer comparisons with auditable provenance and built-in cross-vintage correctness. Reads the published corpus (Hive-partitioned parquet + manifest.json) directly from Nextcloud via DuckDB httpfs — no local bulk downloads required.

Status

Under active development (Phase 2 of the cog_pipeline project). See ../cog_pipeline/docs/reader-specification.md for the reader contract this package implements.

Installation

# pak::pkg_install("gitea.civilytics.org/Civilytics/uscogdata")

Configuration

  • USCOGDATA_URL — corpus root URL (public Nextcloud share, trailing slash)
  • USCOGDATA_CACHE_DIR — optional override for the manifest cache directory
  • USCOGDATA_MANIFEST_TTL_SECS — optional manifest re-fetch TTL (default 3600)

Developer notes

Testing

The package ships a bundled fixture corpus at inst/extdata/fixture_corpus/ — a 3.6 MB two-year slice (2019 + 2020) of the full corpus covering all 50 states. tests/testthat/setup.R automatically points USCOGDATA_URL at this fixture, so the full test suite runs offline with no network dependency:

devtools::test()   # uses bundled fixture, no credentials required

Releasing against the live corpus

Before cutting a release, run the test suite against the published corpus to catch any drift between the fixture and the real data:

Sys.setenv(USCOGDATA_URL = "<published-corpus-url-with-trailing-slash>")
devtools::test()

When the live-corpus run is clean, strip the fixture from the built package by adding this line to .Rbuildignore:

^inst/extdata/fixture_corpus$

The test suite is URL-agnostic — setup.R falls back to USCOGDATA_URL when the bundled fixture is absent, so no test code changes are needed for the release run or after stripping the fixture.

S
Description
R reader for the Civilytics US Census of Governments finance corpus
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