TreeLDR is Linked-Data serialization framework providing:
TreeLDR can be used to produce JSON Schemas, JSON-LD contexts, migration strategies, blockchain publishing routines, etc. and entire SDKs in various target programming languages such as Python, Java and more. This way, developers can define data structures in a familiar way and focus purely on the application level.
[!IMPORTANT] TreeLDR has experienced major changes with version 0.2. In particular, we formalized the data model of Layouts, changing their definition in a way that is incompatible with our current implementation of the DSL and (some) generators. We will reintroduce the missing DSL and generators in future updates.
You will need Rust 1.74 or later to install TreeLDR, with cargo.
TreeLDR can be installed from the source by first cloning the git repository:
$ git clone https://github.com/spruceid/treeldr.git
This repository contains the different libraries and executables composing the TreeLDR framework. You can then build everything from the repository root:
$ cargo build
Alternatively if you want to install the binaries on you computer, use
$ cargo install --path .
The top-level package provides a command-line interface which can use TreeLDR
layouts to serialize or deserialize tree value (like JSON), or generate code.
If you want to use TreeLDR layouts directly in your code, use the
treeldr-layouts
library.
In this section, the tldr
command can be replaced with cargo run --
if
you chose not to install the binary.
Use the dehydrate
subcommand to turn any tree value (JSON) into an RDF
dataset using a given layout.
The input tree is read from the standard input, and the output written to the
standard output.
$ tldr path/to/layout.json dehydrate
Example layouts are found in the layouts/examples
folder.
$ echo '{"id": "http://example.org/#bob", "name": "Bob"}' | tldr layouts/examples/record.json dehydrate
<http://example.org/#bob> <https://schema.org/name> "Bob" .
You can specify the input (tree) format using the -i
option after dehydrate
.
Similarly, you can specify the output (RDF) format using the -o
option.
By default the input is expected to be JSON and output is N-Quads.
Supported formats are given in the Supported Formats
section below.
Use hydrate
subcommand to turn any RDF dataset into a tree value (JSON)
using a given layout.
The input dataset is read from the standard input, and the output written to the
standard output.
$ tldr path/to/layout.json hydrate
Example layouts are found in the layouts/examples
folder.
$ echo '<http://example.org/#bob> <https://schema.org/name> "Bob" .' | tldr layouts/examples/record.json hydrate 'http://example.org/#bob'
{"id":"http://example.org/#bob","name":"Bob"}
You can specify the input (RDF) format using the -i
option after hydrate
.
Similarly, you can specify the output (tree) format using the -o
option.
By default the input is expected to be N-Quads and output is JSON.
Supported formats are given in the Supported Formats
section below.
The following table lists all the tree formats supported by TreeLDR.
The "Option value" can be given to the -i
option of the dehydrate
subcommand, or the -o
option of the hydrate
subcommand.
Tree format | Option value(s) |
---|---|
JSON | application/json , json |
CBOR | application/cbor , cbor |
The following table lists all the RDF formats supported by TreeLDR.
The "Option value" can be given to the -i
option of the hydrate
subcommand,
or the -i
option of the dehydrate
subcommand.
RDF format | Option value(s) |
---|---|
N-Quads | application/n-quads , n-quads , nquads , nq |
To run all the tests, use the following command:
$ cargo test --workspace --all-features