feat: cog_spending + cog_revenue + cog_explain

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).
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% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/revenue.R
\name{cog_revenue}
\alias{cog_revenue}
\title{Summarized revenue by category}
\usage{
cog_revenue(
govid,
years,
category = NULL,
per_capita = FALSE,
adjust_to_year = NULL
)
}
\arguments{
\item{govid}{Character vector of `canonical_govid` values.}
\item{years}{Integer vector of years.}
\item{category}{Character vector of category names (from
`summary_categories.category`), or `NULL` for all categories.}
\item{per_capita}{If `TRUE`, adds `amt_per_capita_nominal` (and
`amt_per_capita_real` when `adjust_to_year` is set) using
`population_acs` from the canonical xwalk.}
\item{adjust_to_year}{Integer base year for CPI-U real-dollar conversion,
or `NULL` for nominal only.}
}
\value{
Tibble with columns `year`, `canonical_govid`, `gov_name`,
`revenue_subtype`, `category`, `amt_nominal`, optional `amt_real`,
optional `amt_per_capita_nominal`, optional `amt_per_capita_real`,
`codes_included`, `aggregate_fallback`, `notes`.
}
\description{
Mirror of [cog_spending()] for revenue categories. One row per
`(year, canonical_govid, revenue_subtype, category)`. Amounts are returned
in **full U.S. dollars** (raw Census values are in $1,000s; this verb
multiplies by 1000 and records the conversion in `provenance`).
}