jared
91b64b9b8b
data-raw/measure_signposting_rate.R runs every summary_categories
category x a (seeded, deterministic) sample of up to 20 governments x
the widest pre/post-2012 year span the active corpus actually supports,
through both the R2 coarse .build_suggestions() (pulled verbatim from
git ref b0df1ec, evaluated in an isolated env parented on the uscogdata
namespace) and the current per-code version, and reports the suggestion
rate and delta under each, overall and by category.
Parameterized by USCOGDATA_URL (defaults to the bundled fixture when
unset) so it can be re-run against the staged/full corpus later. Detects
and reports when the active corpus can't fill a full 3-year pre/3-year
post-2012 design instead of padding or fabricating years. This script
measures the coarse-vs-per-code tradeoff; it does not rule on what
suggestion-rate increase is an acceptable amount of added noise -- that
is Jared's call at Checkpoint R3.
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 directoryUSCOGDATA_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.