gsub() in regex mode treats backslashes in the REPLACEMENT string as
escape sequences and silently drops them. A Windows corpus path is full of
them, so C:\Users\RUNNER\AppData\... was substituted into the view SQL
as C:UsersRUNNERAppData... and every DuckDB read failed with 'No files
found that match the pattern'.
Effect: uscogdata could not read a LOCAL corpus on Windows at all -- the
bundled fixture included, so the entire test suite failed there, and any
cog_mirror() copy was unusable. Remote https URLs were unaffected, having
no backslashes, which is part of why it stayed hidden.
The bug predates the {long_files} token; it lived in the original {url}
substitution since that code was written. Nothing ever ran on Windows
until the GitHub mirror's check matrix existed, which found it on its
first run: 14 of 15 Windows failures were this, the 15th a downstream
consequence of view registration failing.
fixed = TRUE treats pattern and replacement as literal text. The
regression test reproduces on any platform -- it is string handling, not
filesystem behaviour, so it needs no Windows runner.
163 lines
7.7 KiB
R
163 lines
7.7 KiB
R
# R/views.R
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# SQL files that cannot be registered unconditionally against a v4 corpus,
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# for one of two distinct reasons -- both fail at CREATE VIEW time (DuckDB
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# resolves a view's source schema eagerly, even though it defers execution),
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# so a v4 corpus can't tolerate either unconditionally:
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#
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# (a) Missing FILE. 33-/34-/35- read_parquet() a v5-only parquet table
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# (harmonization_map.parquet, harmonization_recipes.parquet,
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# series_breaks.parquet) that doesn't exist at all on a v4 corpus --
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# "IO Error: No files found".
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#
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# (b) Missing COLUMN. 22-/23-/25- reference `long.harmonized_code`, a
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# column that does not exist on a v4 corpus's `long` table (harmonized
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# space was introduced in schema v5) -- "Binder Error: Referenced
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# column harmonized_code not found". 42-/43-/45- are on this list only
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# because they SELECT s.* FROM the (a)/(b) views above, so they'd fail
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# to resolve their own source view if it weren't already skipped.
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#
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# Registration is therefore gated on manifest$schema_version >= 5 for all of
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# them; verb-level *usage* of the resulting views is separately gated by
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# .resolve_basis() / .require_schema_v5().
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.harmonization_view_files <- c(
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"22-spending_long_harmonized.sql",
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"23-revenue_long_harmonized.sql",
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"25-ig_long_harmonized.sql",
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"33-harmonization_map.sql",
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"34-harmonization_recipes.sql",
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"35-series_breaks_pq.sql",
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"42-spending_annotated_harmonized.sql",
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"43-revenue_annotated_harmonized.sql",
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"45-ig_annotated_harmonized.sql"
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)
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# The representation contract (cog_pipeline#64): two parquet tables that say
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# what an ABSENT cell means in a given year. Gated on manifest PRESENCE, not
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# on schema_version, because the sparsification that introduced them did not
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# bump the version -- the pre-sparsification corpus this package shipped
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# against until 2026-07-30 was already schema v6 and carried neither table.
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# Keying off the version number would therefore register a view over a file
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# that does not exist and fail at CREATE VIEW time on exactly the corpora this
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# check exists to tolerate.
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.representation_view_files <- c(
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"36-representation.sql" = "representation.parquet",
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"37-code_set.sql" = "code_set.parquet"
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)
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# Cash and security holdings (uscogdata#25). 46- selects
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# `c.balance_subtype`, a column that arrived with cog_pipeline #76/#77 and
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# WITHOUT a schema_version bump -- so neither existing gate applies:
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# .harmonization_view_files keys on schema_version, .representation_view_files
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# on the presence of a FILE. Here the discriminator is a COLUMN on a table
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# that exists either way. CREATE VIEW resolves its source schema eagerly, so
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# on an older corpus 46- would fail at registration with "Binder Error:
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# Referenced column balance_subtype not found" rather than at query time.
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.balance_view_files <- c("26-balance_long.sql", "46-balance_annotated.sql")
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#' Does the mounted corpus's `summary_categories` carry `balance_subtype`?
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#' Probed against the live connection rather than the manifest, because the
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#' manifest describes files, not columns.
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#' @noRd
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.corpus_has_balance_subtype <- function(con) {
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n <- DBI::dbGetQuery(con,
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"SELECT COUNT(*) AS n FROM information_schema.columns
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WHERE table_name = 'summary_categories'
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AND column_name = 'balance_subtype'"
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)$n
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isTRUE(as.integer(n) > 0L)
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}
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#' Does the mounted corpus publish `file` (e.g. "code_set.parquet")?
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#' Reads the manifest's metadata list rather than stat-ing the URL, so it
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#' works identically for a local fixture and a remote share.
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#' @noRd
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.corpus_has_table <- function(manifest, file) {
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paths <- vapply(manifest$files$metadata %||% list(),
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function(f) as.character(f$path %||% ""), character(1))
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file %in% basename(paths)
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}
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#' Build the SQL path expression for the partitioned `long` table.
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#'
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#' DuckDB cannot expand a glob over generic HTTP: there is no directory
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#' listing to expand against, and `allow_asterisks_in_http_paths` only
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#' forwards the literal `**/*` as a filename, which 404s. Measured against
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#' the published corpus on 2026-08-08, an explicit file list returns the
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#' same 46,148,034 rows the (working) `hf://` glob does, and
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#' `hive_partitioning = true` still recovers `year` from the paths.
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#'
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#' The manifest already enumerates every partition, so we build the list
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#' from it. This is host-agnostic -- Nextcloud, HuggingFace and a local
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#' fixture take the same path -- where an `hf://` URL would tie the reader
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#' to one vendor's protocol and still need special-casing, since manifest
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#' fetching goes through httr2, which cannot speak `hf://`.
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#'
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#' Falls back to the glob when the manifest carries no partition list: a
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#' hand-built manifest in a test (see test-views.R) or a corpus predating
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#' the field. Both are local, where globbing works.
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#' @noRd
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.long_files_sql <- function(url, manifest) {
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parts <- manifest$files$long_partitions %||% list()
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if (length(parts) == 0L) {
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return(.sql_lit_chr(paste0(url, "data/long/**/*.parquet")))
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}
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paths <- vapply(parts, function(p) as.character(p$path), character(1))
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paste0("[", .sql_lit_chr(paste0(url, paths)), "]")
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}
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#' Substitute the corpus-location tokens in a view's SQL text.
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#'
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#' One place knows the token vocabulary. `.register_views()` and the tests
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#' that execute a view file directly both route through here. This exists
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#' because four test sites had hand-rolled the `{url}` substitution -- one
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#' of them commented as doing it "exactly as .register_views() does" -- and
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#' every one of them broke the moment a second token was introduced.
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#'
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#' `{long_files}` must be substituted BEFORE `{url}`: it expands to a string
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#' that itself contains the url, so the reverse order leaves the token in
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#' place and DuckDB's parser fails on the brace.
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#'
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#' `manifest` defaults to empty, which routes `.long_files_sql()` to its glob
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#' fallback -- correct for the local temp corpora the direct-execution tests
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#' build.
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#' @noRd
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#' `fixed = TRUE` is load-bearing, not a style choice.
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#'
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#' In regex mode, `gsub()` interprets backslashes in the REPLACEMENT string as
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#' escape sequences and silently drops them. A Windows corpus path is full of
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#' them, so `C:\Users\RUNNER\AppData\...` was substituted in as
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#' `C:UsersRUNNERAppData...` and every DuckDB read failed with "No files found
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#' that match the pattern". `fixed = TRUE` treats pattern and replacement as
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#' literal text, which is what a filesystem path needs.
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#'
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#' This is why the package could not read a LOCAL corpus on Windows at all --
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#' including the test fixture, hence the entire suite, and any `cog_mirror()`
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#' copy. Remote https URLs were unaffected, having no backslashes, which is
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#' part of why it stayed hidden: the bug predates the `{long_files}` token and
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#' lived in the original `{url}` substitution, unnoticed because nothing ever
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#' ran on Windows until the mirror's check matrix existed.
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#' @noRd
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.render_view_sql <- function(sql, url, manifest = list()) {
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sql <- gsub("{long_files}", .long_files_sql(url, manifest), sql, fixed = TRUE)
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gsub("{url}", url, sql, fixed = TRUE)
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}
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#' Register DuckDB views from inst/sql/ SQL files
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#' @noRd
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.register_views <- function(con, url, manifest) {
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sql_dir <- system.file("sql", package = "uscogdata")
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files <- sort(list.files(sql_dir, pattern = "\\.sql$", full.names = TRUE))
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schema_version <- suppressWarnings(as.integer(manifest$schema_version %||% 0L))
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for (f in files) {
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base <- basename(f)
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if (base %in% .harmonization_view_files && schema_version < 5L) next
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if (base %in% names(.representation_view_files) &&
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!.corpus_has_table(manifest, .representation_view_files[[base]])) next
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if (base %in% .balance_view_files && !.corpus_has_balance_subtype(con)) next
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sql <- paste(readLines(f, warn = FALSE), collapse = "\n")
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sql <- .render_view_sql(sql, url, manifest)
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DBI::dbExecute(con, sql)
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}
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}
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