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gs4_auth(subject =) is a new argument that can be
used with gs4_auth(path =), i.e. when using a service
account. The path and subject arguments are
ultimately processed by
gargle::credentials_service_account() and support the use
of a service account to impersonate a normal user.
gs4_scopes() is a new function to access scopes
relevant to the Sheets and Drive APIs. When called without arguments,
gs4_scopes() returns a named vector of scopes, where the
names are the associated short aliases. gs4_scopes() can
also be called with a character vector; any element that’s recognized as
a short alias is replaced with the associated full scope
(#291).
Various internal changes to sync up with gargle v1.5.0.
Version 1.3.0 of gargle introduced some changes around OAuth and googlesheets4 is syncing with up that:
gs4_oauth_client() is a new function to replace the
now-deprecated gs4_oauth_app().client argument of
gs4_auth_configure() replaces the now-deprecated
app argument.gs4_auth_configure() emphasizes
that the preferred way to “bring your own OAuth client” is by providing
the JSON downloaded from Google Developers Console.gs4_auth() now warns if the user specifies both
email and path, because this is almost always
an error.
The mere existence of an invalid named range no longer prevents googlesheets4 from dealing with a Sheet (#175).
googlesheets4 now understands that Google Sheets can have 10 million cells (up from 5 million) (#257).
Help files below man/ have been re-generated, so that
they give rise to valid HTML5. (This is the impetus for this release, to
keep the package safely on CRAN.)
Examples now use @examplesIf to express when a token or
an interactive session is required for successful execution.
Errors have been revised to (more often) reveal the most appropriate call, i.e. the high-level function called by the user as opposed to an internal helper (#255).
Informative messages now route through
cli::cli_inform(), instead of
cli::cli_bullets().
The user interface has gotten more stylish, thanks to the cli package (https://cli.r-lib.org).
All informational messages, warnings, and errors are now emitted via
cli, which uses rlang’s condition functions under-the-hood.
googlesheets4 now throws errors with class
"googlesheets4_error" (#12).
googlesheets4_quiet is a new option to suppress
informational messages from googlesheets4 (#163). Unless it’s explicitly
set to TRUE, the default is to message.
local_gs4_quiet() and with_gs4_quiet() are
withr-style convenience helpers
for setting googlesheets4_quiet = TRUE.
The deprecated sheets_*() functions have now been
removed, as promised in the warning they have been throwing for over a
year. No functionality has been removed, this is just the result of the
function (re-)naming scheme adopted in googlesheets4 >= 0.2.0. More
details are in this
developer documentation.
The na argument of read_sheet() has become
more capable and more consistent with readr. Specifically,
na = character() (or the general lack of ""
among the na strings) results in cells with no data
appearing as the empty string "" within a character vector,
as opposed to NA (#174).
Explicit NULLs are now written properly, i.e. as an
empty cell (#203).
sheet_append() no longer touches any aspect of cell
formatting other than numberFormat (#204).
gs4_example() and gs4_examples() now learn
the example Sheet ids from a Google Sheet. This should not change
anything for users, but it means there is an API call the first time
either of these functions is called.
cli is new in Imports.
googlesheets4 Suggests testthat >= 3.0.0 and, specifically, uses third edition features.
R 3.4 is now the oldest version that is explicitly supported and tested, as per the tidyverse policy.
All requests are now made with retry capability. Specifically, when a
request fails due to a 429 RESOURCE_EXHAUSTED error, it is
retried a few times, with suitable delays. Note that if it appears that
you personally have exhausted your quota (more than 100
requests in 100 seconds), the initial waiting time is 100 seconds and
this indicates you need to get your own OAuth app or service
account.
When googlesheets4 and googledrive are used together in the same session, we alert you if you’re logged in to these package with different Google identities.
gs4_get() retrieves information about protected
ranges.
googlesheets4 can now write and modify Sheets.
Several new articles are available at googlesheets4.tidyverse.org.
The universal sheets_ prefix has been replaced by a
scheme that conveys more information about the scope of the function.
There are three prefixes:
gs4_: refers variously to the googlesheets4 package, v4
of the Google Sheets API, or to operations on one or more
(spread)Sheetssheet_: operations on one or more (work)sheetsrange_: operations on a range of cellsThe addition of write/edit functionality resulted in many new functions and the original naming scheme proved to be problematic. The article Function and class names contains more detail.
Any function present in the previous CRAN release, v0.1.1, still works, but triggers a warning with strong encouragement to switch to the current name.
googlesheets4 now has very broad capabilities around Sheet creation and modification. These functions are ready for general use but are still marked experimental, as they may see some refinement based on user feedback.
gs4_create() creates a new Google Sheet and,
optionally, writes one or more data frames into it (#61).sheet_write() (also available as
write_sheet()) writes a data frame into a new or existing
(work)sheet, inside an existing (or new) (spread)Sheet.sheet_append() adds rows to an existing data
table.range_write() writes to a cell range.range_flood() “floods” all cells in a range with the
same content. range_clear() is a wrapper around
range_flood() for the special case of clearing cell
values.range_delete() deletes a range of cells.The sheet_*() family of functions operate on the
(work)sheets inside an existing (spread)Sheet:
sheet_write() and sheet_append() are
described above.)sheet_properties() returns a tibble of metadata with
one row per sheet.sheet_names() returns sheet names.sheet_add() adds one or more sheets.sheet_copy() copies a sheet.sheet_delete() deletes one or more sheets.sheet_relocate() moves sheets around.sheet_rename() renames one sheet.sheet_resize() changes the number of rows or columns in
a sheet.range_speedread() reads from a Sheet using its
“export=csv” URL and, therefore, uses readr-style column type
specification. It still supports fairly general range syntax and auth.
For very large Sheets, this can be substantially faster than
read_sheet().
range_read_cells() (formerly known as
sheets_cells()) gains two new arguments that make it
possible to get more data on more cells. By default, we get only the
fields needed to parse cells that contain values. But
range_read_cells(cell_data = "full", discard_empty = FALSE)
is now available if you want full cell data, including formatting, even
for cells that have no value (#4).
range_autofit() adjusts column width or row height to
fit the data. This only affects the display of a sheet and does not
change values or dimensions.
The print method for sheets_id objects now attempts to
reveal the current Sheet metadata available via gs4_get(),
i.e. it makes an API call (but it should never error).
gs_formula() implements a vctrs S3 class for storing
Sheets formulas.
gs4_fodder() is a convenience function that creates a
filler data frame you can use to make toy sheets you’re using to
practice on or for a reprex.
The S3 class sheets_Spreadsheet is renamed to
googlesheets4_spreadsheet, a consequence of rationalizing
all internal and external classes (detailed in the article Function
and class names). googlesheets4_spreadsheet is the
class that holds metadata for a Sheet and it is connected to the API’s
Spreadsheet
schema. The return value of gs4_get() has this class.
read_sheet() passes its na argument down
to the helpers that parse cells, so that na actually has
the documented effect (#73).NEWS.md file to track changes to the
package.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.