12 stable releases (4 major)
6.0.0+20240207 | Oct 15, 2024 |
---|---|
5.0.5+20240207 | Jun 27, 2024 |
5.0.4+20240207 | Mar 5, 2024 |
5.0.3+20221205 | Aug 23, 2023 |
2.0.4+20210317 | Apr 14, 2021 |
#2330 in Web programming
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Used in google-datalabeling1_beta…
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12K
SLoC
The google-datalabeling1_beta1
library allows access to all features of the Google Data Labeling service.
This documentation was generated from Data Labeling crate version 6.0.0+20240207, where 20240207 is the exact revision of the datalabeling:v1beta1 schema built by the mako code generator v6.0.0.
Everything else about the Data Labeling v1_beta1 API can be found at the official documentation site.
Features
Handle the following Resources with ease from the central hub ...
- projects
- annotation spec sets create, annotation spec sets delete, annotation spec sets get, annotation spec sets list, datasets annotated datasets data items get, datasets annotated datasets data items list, datasets annotated datasets delete, datasets annotated datasets examples get, datasets annotated datasets examples list, datasets annotated datasets feedback threads delete, datasets annotated datasets feedback threads feedback messages create, datasets annotated datasets feedback threads feedback messages delete, datasets annotated datasets feedback threads feedback messages get, datasets annotated datasets feedback threads feedback messages list, datasets annotated datasets feedback threads get, datasets annotated datasets feedback threads list, datasets annotated datasets get, datasets annotated datasets list, datasets create, datasets data items get, datasets data items list, datasets delete, datasets evaluations example comparisons search, datasets evaluations get, datasets export data, datasets get, datasets image label, datasets import data, datasets list, datasets text label, datasets video label, evaluation jobs create, evaluation jobs delete, evaluation jobs get, evaluation jobs list, evaluation jobs patch, evaluation jobs pause, evaluation jobs resume, evaluations search, instructions create, instructions delete, instructions get, instructions list, operations cancel, operations delete, operations get and operations list
Structure of this Library
The API is structured into the following primary items:
- Hub
- a central object to maintain state and allow accessing all Activities
- creates Method Builders which in turn allow access to individual Call Builders
- Resources
- primary types that you can apply Activities to
- a collection of properties and Parts
- Parts
- a collection of properties
- never directly used in Activities
- Activities
- operations to apply to Resources
All structures are marked with applicable traits to further categorize them and ease browsing.
Generally speaking, you can invoke Activities like this:
let r = hub.resource().activity(...).doit().await
Or specifically ...
let r = hub.projects().annotation_spec_sets_delete(...).doit().await
let r = hub.projects().datasets_annotated_datasets_feedback_threads_feedback_messages_delete(...).doit().await
let r = hub.projects().datasets_annotated_datasets_feedback_threads_delete(...).doit().await
let r = hub.projects().datasets_annotated_datasets_delete(...).doit().await
let r = hub.projects().datasets_delete(...).doit().await
let r = hub.projects().evaluation_jobs_delete(...).doit().await
let r = hub.projects().evaluation_jobs_pause(...).doit().await
let r = hub.projects().evaluation_jobs_resume(...).doit().await
let r = hub.projects().instructions_delete(...).doit().await
let r = hub.projects().operations_cancel(...).doit().await
let r = hub.projects().operations_delete(...).doit().await
The resource()
and activity(...)
calls create builders. The second one dealing with Activities
supports various methods to configure the impending operation (not shown here). It is made such that all required arguments have to be
specified right away (i.e. (...)
), whereas all optional ones can be build up as desired.
The doit()
method performs the actual communication with the server and returns the respective result.
Usage
Setting up your Project
To use this library, you would put the following lines into your Cargo.toml
file:
[dependencies]
google-datalabeling1_beta1 = "*"
serde = "1"
serde_json = "1"
A complete example
extern crate hyper;
extern crate hyper_rustls;
extern crate google_datalabeling1_beta1 as datalabeling1_beta1;
use datalabeling1_beta1::api::GoogleCloudDatalabelingV1beta1PauseEvaluationJobRequest;
use datalabeling1_beta1::{Result, Error};
use datalabeling1_beta1::{DataLabeling, FieldMask, hyper_rustls, hyper_util, yup_oauth2};
// Get an ApplicationSecret instance by some means. It contains the `client_id` and
// `client_secret`, among other things.
let secret: yup_oauth2::ApplicationSecret = Default::default();
// Instantiate the authenticator. It will choose a suitable authentication flow for you,
// unless you replace `None` with the desired Flow.
// Provide your own `AuthenticatorDelegate` to adjust the way it operates and get feedback about
// what's going on. You probably want to bring in your own `TokenStorage` to persist tokens and
// retrieve them from storage.
let auth = yup_oauth2::InstalledFlowAuthenticator::builder(
secret,
yup_oauth2::InstalledFlowReturnMethod::HTTPRedirect,
).build().await.unwrap();
let client = hyper_util::client::legacy::Client::builder(
hyper_util::rt::TokioExecutor::new()
)
.build(
hyper_rustls::HttpsConnectorBuilder::new()
.with_native_roots()
.unwrap()
.https_or_http()
.enable_http1()
.build()
);
let mut hub = DataLabeling::new(client, auth);
// As the method needs a request, you would usually fill it with the desired information
// into the respective structure. Some of the parts shown here might not be applicable !
// Values shown here are possibly random and not representative !
let mut req = GoogleCloudDatalabelingV1beta1PauseEvaluationJobRequest::default();
// You can configure optional parameters by calling the respective setters at will, and
// execute the final call using `doit()`.
// Values shown here are possibly random and not representative !
let result = hub.projects().evaluation_jobs_pause(req, "name")
.doit().await;
match result {
Err(e) => match e {
// The Error enum provides details about what exactly happened.
// You can also just use its `Debug`, `Display` or `Error` traits
Error::HttpError(_)
|Error::Io(_)
|Error::MissingAPIKey
|Error::MissingToken(_)
|Error::Cancelled
|Error::UploadSizeLimitExceeded(_, _)
|Error::Failure(_)
|Error::BadRequest(_)
|Error::FieldClash(_)
|Error::JsonDecodeError(_, _) => println!("{}", e),
},
Ok(res) => println!("Success: {:?}", res),
}
Handling Errors
All errors produced by the system are provided either as Result enumeration as return value of the doit() methods, or handed as possibly intermediate results to either the Hub Delegate, or the Authenticator Delegate.
When delegates handle errors or intermediate values, they may have a chance to instruct the system to retry. This makes the system potentially resilient to all kinds of errors.
Uploads and Downloads
If a method supports downloads, the response body, which is part of the Result, should be
read by you to obtain the media.
If such a method also supports a Response Result, it will return that by default.
You can see it as meta-data for the actual media. To trigger a media download, you will have to set up the builder by making
this call: .param("alt", "media")
.
Methods supporting uploads can do so using up to 2 different protocols:
simple and resumable. The distinctiveness of each is represented by customized
doit(...)
methods, which are then named upload(...)
and upload_resumable(...)
respectively.
Customization and Callbacks
You may alter the way an doit()
method is called by providing a delegate to the
Method Builder before making the final doit()
call.
Respective methods will be called to provide progress information, as well as determine whether the system should
retry on failure.
The delegate trait is default-implemented, allowing you to customize it with minimal effort.
Optional Parts in Server-Requests
All structures provided by this library are made to be encodable and decodable via json. Optionals are used to indicate that partial requests are responses are valid. Most optionals are are considered Parts which are identifiable by name, which will be sent to the server to indicate either the set parts of the request or the desired parts in the response.
Builder Arguments
Using method builders, you are able to prepare an action call by repeatedly calling it's methods. These will always take a single argument, for which the following statements are true.
- PODs are handed by copy
- strings are passed as
&str
- request values are moved
Arguments will always be copied or cloned into the builder, to make them independent of their original life times.
Cargo Features
utoipa
- Add support for utoipa and deriveutoipa::ToSchema
on all the types. You'll have to import and register the required types in#[openapi(schemas(...))]
, otherwise the generatedopenapi
spec would be invalid.
License
The datalabeling1_beta1 library was generated by Sebastian Thiel, and is placed under the MIT license. You can read the full text at the repository's license file.
Dependencies
~20–31MB
~567K SLoC