jared
c682e6547d
Three core query verbs over the spending_annotated / revenue_annotated DuckDB views. Each verb accepts vector govid, vector years, optional category filter, per_capita flag, and adjust_to_year for CPI-U real-dollar conversion (bundled index). Amounts are returned in full USD (SUM(amt) * 1000) so callers can freely rescale to millions/billions. The $1,000s -> $USD conversion is recorded in provenance$transformations$units_conversion. Every result carries an attr(., "provenance") list matching inst/schemas/provenance-v1.json. cog_explain() prints the structured form via cli or returns the raw list for MCP/JSON consumers. Also: .fetch_or_cache_manifest() now handles local fixture paths so tests can point USCOGDATA_FIXTURE_URL at the pipeline publish_cache/ without a working HTTP server. Tests: 80 pass / 0 fail. devtools::check() 0E/0W/2N (both notes pre-existing / environmental).
44 lines
1.4 KiB
R
44 lines
1.4 KiB
R
% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/spending.R
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\name{cog_spending}
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\alias{cog_spending}
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\title{Summarized spending by category}
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\usage{
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cog_spending(
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govid,
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years,
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category = NULL,
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per_capita = FALSE,
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adjust_to_year = NULL
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)
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}
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\arguments{
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\item{govid}{Character vector of `canonical_govid` values.}
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\item{years}{Integer vector of years.}
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\item{category}{Character vector of category names (from
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`summary_categories.category`), or `NULL` for all categories.}
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\item{per_capita}{If `TRUE`, adds `amt_per_capita_nominal` (and
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`amt_per_capita_real` when `adjust_to_year` is set) using
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`population_acs` from the canonical xwalk.}
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\item{adjust_to_year}{Integer base year for CPI-U real-dollar conversion,
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or `NULL` for nominal only.}
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}
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\value{
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Tibble with columns `year`, `canonical_govid`, `gov_name`,
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`spend_subtype`, `category`, `amt_nominal`, optional `amt_real`,
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optional `amt_per_capita_nominal`, optional `amt_per_capita_real`,
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`codes_included`, `aggregate_fallback`, `notes`. Carries a `provenance`
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attribute matching `inst/schemas/provenance-v1.json`.
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}
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\description{
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One row per `(year, canonical_govid, spend_subtype, category)`. Amounts are
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returned in **full U.S. dollars** (the raw corpus stores them in $1,000s;
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this verb multiplies by 1000 so downstream code can freely rescale to
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millions/billions). The conversion is recorded in the provenance attribute
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under `transformations$units_conversion`.
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}
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