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This vignette explains the purpose and usage of:
request_develop(endpoint, params, base_url)
request_build(method, path, params, body, token, key, base_url)
request_make(x, ..., user_agent)
The target audience is someone writing an R package to wrap a Google API.
Why would the developer of a Google-API-wrapping package care about the request helpers in gargle?
You can write less code and safer code, in return for a modest investment in studying your target API. That is done by ingesting the API’s so-called Discovery Document.
Hundreds of Google APIs – the ones addressed by the API Discovery Service – share a great deal of behaviour. By ingesting the metadata provided by this service, you can use gargle’s request helpers to exploit this shared data and logic, while also decreasing the chance that you and your users will submit ill-formed requests.
The request helpers in gargle check the combined inputs from user and developer against suitably prepared API metadata:
Google provides API libraries for several languages, including Java, Go, Python, JavaScript, Ruby and more (but not R). All of these libraries are machine-generated from the metadata provided by the API Discovery Service. It is the official recommendation to use the Discovery Document when building client libraries. The gargle package aims to implement key parts of this strategy, in a way that is also idiomatic for R and its developers.
gargle facilitates this design for API-wrapping packages:
Later, specific examples are given, using the googledrive package.
gargle provides support for creating and sending HTTP requests via these functions:
request_develop(endpoint, params, base_url)
: a.k.a. The
Smart One.
params
relative to detailed
knowledge about the endpoint
, derived from an API Discovery
Document.params
destined for the body into their own
part.httr::VERB()
call that is on the horizon.request_build(method, path, params, body, token, key, base_url)
:
a.k.a. The Dumb One.
request_develop()
,
although that is not required. It can be called directly to enjoy a few
luxuries even when making one-off API calls in the absence of an
ingested Discovery Document.params
into a URL via substitution and the
query string.request_make(x, ..., user_agent)
: actually makes the
HTTP request.
request_build()
,
although that is not required. However, if you have enough info to form
a request_make()
request, you would probably just make the
httr::VERB()
call yourself.x$method
to determine which
httr::VERB()
to call, then calls it with the rest of
x
, ...
, and user_agent
passed as
arguments.They are usually called in the above order, though they don’t have to be used that way. It is also fine to ignore this part of gargle and use it only for help with auth. They are separate parts of the package.
Google’s API Discovery Service “provides a lightweight, JSON-based API that exposes machine-readable metadata about Google APIs”. We recommend ingesting this metadata into an R list, stored as internal data in an API-wrapping client package. Then, HTTP requests inside high-level functions can be made concisely and safely, by referring to this metadata. The combined use of this data structure and gargle’s request helpers can eliminate a lot of boilerplate data and logic that are shared across Google APIs and across endpoints within an API.
The gargle package ships with some functions and scripts to facilitate the ingest of a Discovery Document. You can find these files in the gargle installation like so:
ddi_dir <- system.file("discovery-doc-ingest", package = "gargle")
list.files(ddi_dir)
#> [1] "api-wide-parameter-names.txt" "api-wide-parameters-humane.txt"
#> [3] "api-wide-parameters.csv" "discover-discovery.R"
#> [5] "drive-example.R" "ingest-functions.R"
#> [7] "method-properties-humane.txt" "method-properties.csv"
#> [9] "method-property-names.txt" "parameter-properties-humane.txt"
#> [11] "parameter-properties.csv" "parameter-property-names.txt"
Main files of interest to the developer of a client package:
ingest-functions.R
is a collection of functions for
downloading and ingesting a Discovery Document.drive-example.R
uses those functions to ingest metadata
on the Drive v3 API and store it as an internal data object for use in
googledrive.The remaining files present an analysis of the Discovery Document for the Discovery API itself (very meta!) and write files that are useful for reference. Several are included at the end of this vignette.
Why aren’t the ingest functions exported by gargle? First, we regard this as functionality that is needed at development time, not install or run time. This is something you’ll do every few months, probably associated with preparing a release of a wrapper package. Second, the packages that are useful for wrangling JSON and lists are not existing dependencies of gargle, so putting these function in gargle would require some unappealing compromises.
Our Discovery Document ingest process leaves you with an R list.
Let’s assume it’s available in your package’s namespace as an internal
object named .endpoints
. Each item represents one method of
the API (Google’s vocabulary) or an endpoint (gargle’s vocabulary).
Each endpoint has an id
. These id
s are also
used as names for the list. Examples of some id
s from the
Drive and Sheets APIs:
drive.about.get
drive.files.create
drive.teamdrives.list
sheets.spreadsheets.create
sheets.spreadsheets.values.clear
sheets.spreadsheets.sheets.copyTo
Retrieve the metadata for one endpoint by name, e.g.:
That info can be passed along to
request_develop(endpoint, params, base_url)
, which conducts
sanity checks and combines this external knowledge with the data coming
from the user and developer via params
.
Here’s the model used in googledrive. There is a low-level request
helper, googledrive::request_generate()
, that is used to
form every request in the package. It is exported as part of a low-level
API for expert use, but most users will never know it exists.
# googledrive::
request_generate <- function(endpoint = character(),
params = list(),
key = NULL,
token = drive_token()) {
ept <- .endpoints[[endpoint]]
if (is.null(ept)) {
stop_glue("\nEndpoint not recognized:\n * {endpoint}")
}
## modifications specific to googledrive package
params$key <- key %||% params$key %||% drive_api_key()
if (!is.null(ept$parameters$supportsTeamDrives)) {
params$supportsTeamDrives <- TRUE
}
req <- gargle::request_develop(endpoint = ept, params = params)
gargle::request_build(
path = req$path,
method = req$method,
params = req$params,
body = req$body,
token = token
)
}
The endpoint
argument specifies an endpoint by its name,
a.k.a. its id
.
params
is where the processed user input goes.
key
and token
refer to an API key and
OAuth2 token, respectively. Both can be populated by default, but it is
possible to pass them explicitly. If your package ships with a default
API key, you should append it above as the final fallback value for
params$key
.
Do not “borrow” an API key from gargle or another package; always send a key associated with your package or provided by your user. Per the Google User Data Policy https://developers.google.com/terms/api-services-user-data-policy, your application must accurately represent itself when authenticating to Google API services.
After googledrive::request_generate()
takes care of
everything specific to the Drive API and the user’s input and task, we
call gargle::request_develop()
. We finish preparing the
request with gargle::request_build()
, which enforces the
rule that we always send exactly one of
key
and token
.
The output of gargle::request_build()
specifies an HTTP
request.
gargle::request_make()
can be used to actually execute
it.
# gargle::
request_make <- function(x, ..., user_agent = gargle_user_agent()) {
stopifnot(is.character(x$method))
method <- switch(
x$method,
GET = httr::GET,
POST = httr::POST,
PATCH = httr::PATCH,
PUT = httr::PUT,
DELETE = httr::DELETE,
abort(glue("Not a recognized HTTP method: {bt(x$method)}"))
)
method(
url = x$url,
body = x$body,
x$token,
user_agent,
...
)
}
request_make()
consults x$method
to
identify the httr::VERB()
and then calls it with the
remainder of x
, ...
and the
user_agent
.
In googledrive we have a thin wrapper around this that injects the googledrive user agent:
derived from the Discovery Document for the Discovery Service
Properties of an endpoint
description string Description of this method.
etagRequired boolean Whether this method requires an ETag to be
specified. The ETag is sent as an HTTP If-
Match or If-None-Match header.
httpMethod string HTTP method used by this method.
id string A unique ID for this method. This property
can be used to match methods between
different versions of Discovery.
mediaUpload object Media upload parameters.
parameterOrder array Ordered list of required parameters, serves
as a hint to clients on how to structure
their method signatures. The array is ordered
such that the "most-significant" parameter
appears first.
parameters object Details for all parameters in this method.
path string The URI path of this REST method. Should
be used in conjunction with the basePath
property at the api-level.
request object The schema for the request.
response object The schema for the response.
scopes array OAuth 2.0 scopes applicable to this method.
supportsMediaDownload boolean Whether this method supports media downloads.
supportsMediaUpload boolean Whether this method supports media uploads.
supportsSubscription boolean Whether this method supports subscriptions.
useMediaDownloadService boolean Indicates that downloads from this method
should use the download service URL (i.e.
"/download"). Only applies if the method
supports media download.
API-wide endpoint parameters (taken from Discovery API but, empirically, are shared with other APIs):
alt string Data format for the response.
fields string Selector specifying which fields to include
in a partial response.
key string API key. Your API key identifies your project
and provides you with API access, quota, and
reports. Required unless you provide an OAuth
2.0 token.
oauth_token string OAuth 2.0 token for the current user.
prettyPrint boolean Returns response with indentations and line
breaks.
quotaUser string An opaque string that represents a user
for quota purposes. Must not exceed 40
characters.
userIp string Deprecated. Please use quotaUser instead.
Properties of an endpoint parameters:
$ref string A reference to another schema. The value of
this property is the "id" of another schema.
additionalProperties NULL If this is a schema for an object, this
property is the schema for any additional
properties with dynamic keys on this object.
annotations object Additional information about this property.
default string The default value of this property (if one
exists).
description string A description of this object.
enum array Values this parameter may take (if it is an
enum).
enumDescriptions array The descriptions for the enums. Each position
maps to the corresponding value in the "enum"
array.
format string An additional regular expression or key that
helps constrain the value. For more details
see: http://tools.ietf.org/html/draft-zyp-
json-schema-03#section-5.23
id string Unique identifier for this schema.
items NULL If this is a schema for an array, this
property is the schema for each element in
the array.
location string Whether this parameter goes in the query or
the path for REST requests.
maximum string The maximum value of this parameter.
minimum string The minimum value of this parameter.
pattern string The regular expression this parameter must
conform to. Uses Java 6 regex format: http://
docs.oracle.com/javase/6/docs/api/java/util/
regex/Pattern.html
properties object If this is a schema for an object, list the
schema for each property of this object.
readOnly boolean The value is read-only, generated by the
service. The value cannot be modified by the
client. If the value is included in a POST,
PUT, or PATCH request, it is ignored by the
service.
repeated boolean Whether this parameter may appear multiple
times.
required boolean Whether the parameter is required.
type string The value type for this schema. A list
of values can be found here: http://
tools.ietf.org/html/draft-zyp-json-
schema-03#section-5.1
variant object In a variant data type, the value of
one property is used to determine how to
interpret the entire entity. Its value must
exist in a map of descriminant values to
schema names.
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.