# 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 ```r # 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: ```r 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: ```r Sys.setenv(USCOGDATA_URL = "") 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.