Gathering detailed insights and metrics for @swagger-api/apidom-parser-adapter-yaml-1-2
Gathering detailed insights and metrics for @swagger-api/apidom-parser-adapter-yaml-1-2
Semantic parser for API specifications
1.0.0-beta.44
85
TypeScript
1.62 MB
Installations
npm install @swagger-api/apidom-parser-adapter-yaml-1-2Developer Guide
BETA
Typescript
Yes
Module System
ESM
Node Version
22.14.0
NPM Version
lerna/8.2.2/node@v22.14.0+x64 (linux)
Score
98.1
Supply Chain
95.9
Quality
93.8
Maintenance
100
Vulnerability
86.2
License
Releases
198
v1.0.0-beta.44
v1.0.0-beta.44
Updated on Jul 07, 2025
v1.0.0-beta.43
v1.0.0-beta.43
Updated on Jun 13, 2025
v1.0.0-beta.42
v1.0.0-beta.42
Updated on Jun 06, 2025
v1.0.0-beta.41
v1.0.0-beta.41
Updated on Jun 04, 2025
v1.0.0-beta.40
v1.0.0-beta.40
Updated on May 30, 2025
v1.0.0-beta.39
v1.0.0-beta.39
Updated on May 20, 2025
Languages
5
TypeScript
JavaScript
HTML
SCSS
Dockerfile
TypeScript (97.93%)
JavaScript (2.03%)
HTML (0.02%)
SCSS (0.01%)
Dockerfile (0.01%)
Developer
Download Statistics
Total Downloads
0
Last Day
0
Last Week
0
Last Month
0
Last Year
0
GitHub Statistics
85 Stars
5,053 Commits
20 Forks
10 Watchers
26 Branches
62 Contributors
Updated on Jul 08, 2025
Maintainers
1
Package Meta Information
Latest Version
1.0.0-beta.44
Package Id
@swagger-api/apidom-parser-adapter-yaml-1-2@1.0.0-beta.44
Unpacked Size
1.62 MB
Size
377.62 kB
File Count
38
NPM Version
lerna/8.2.2/node@v22.14.0+x64 (linux)
Node Version
22.14.0
Published on
Jul 07, 2025
Total Downloads
Cumulative downloads
Total Downloads
NaN
Last Day
0%
NaN
Compared to previous day
Last Week
0%
NaN
Compared to previous week
Last Month
0%
NaN
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Last Year
0%
NaN
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Weekly Downloads
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ApiDOM
The purpose of ApiDOM is to provide a single, unifying structure for describing APIs across API description language and serialization formats. There currently exists several API description languages one can choose when defining an API, from OpenAPI, RAML, API Blueprint or others. There are also many serialization formats such as XML, YAML or JSON. Without a way to parse these formats to the same structure, developers are required to handle each format one-by-one, each in a different way and each translating to their internal domain model. This is tedious, time-consuming, and requires each maintainer to stay in step with every format they support.
ApiDOM solves this complex problem in a simple way. It allows parsers to parse to a single structure and allows tool builders to consume one structure for all formats.
Table of Contents
Getting started
Prerequisites
These prerequisites are required both for installing ApiDOM as a npm package and local development setup.
- node-gyp
>=10with Python 3.x - GLIBC
>=2.29 - GCC compiler
- emscripten or docker needs to be installed, we recommend going with a docker option
Installation
Assuming prerequisites are already installed, ApiDOM npm packages are installable and works with Node.js >=12.20.0 <=22.
You can install ApiDOM packages using npm CLI:
1 $ npm install @swagger-api/apidom-ast 2 $ npm install @swagger-api/apidom-converter 3 $ npm install @swagger-api/apidom-core 4 $ npm install @swagger-api/apidom-error 5 $ npm install @swagger-api/apidom-json-path 6 $ npm install @swagger-api/apidom-json-pointer 7 $ npm install @swagger-api/apidom-json-pointer-relative 8 $ npm install @swagger-api/apidom-logging 9 $ npm install @swagger-api/apidom-ls 10 $ npm install @swagger-api/apidom-ns-api-design-systems 11 $ npm install @swagger-api/apidom-ns-arazzo-1 12 $ npm install @swagger-api/apidom-ns-asyncapi-2 13 $ npm install @swagger-api/apidom-ns-json-schema-2019-09 14 $ npm install @swagger-api/apidom-ns-json-schema-2020-12 15 $ npm install @swagger-api/apidom-ns-json-schema-draft-4 16 $ npm install @swagger-api/apidom-ns-json-schema-draft-6 17 $ npm install @swagger-api/apidom-ns-json-schema-draft-7 18 $ npm install @swagger-api/apidom-ns-openapi-2 19 $ npm install @swagger-api/apidom-ns-openapi-3-0 20 $ npm install @swagger-api/apidom-ns-openapi-3-1 21 $ npm install @swagger-api/apidom-parser 22 $ npm install @swagger-api/apidom-parser-adapter-api-design-systems-json 23 $ npm install @swagger-api/apidom-parser-adapter-api-design-systems-yaml 24 $ npm install @swagger-api/apidom-parser-adapter-arazzo-json-1 25 $ npm install @swagger-api/apidom-parser-adapter-arazzo-yaml-1 26 $ npm install @swagger-api/apidom-parser-adapter-asyncapi-json-2 27 $ npm install @swagger-api/apidom-parser-adapter-asyncapi-yaml-2 28 $ npm install @swagger-api/apidom-parser-adapter-json 29 $ npm install @swagger-api/apidom-parser-adapter-json-schema-json-2020-12 30 $ npm install @swagger-api/apidom-parser-adapter-json-schema-yaml-2020-12 31 $ npm install @swagger-api/apidom-parser-adapter-openapi-json-2 32 $ npm install @swagger-api/apidom-parser-adapter-openapi-json-3-0 33 $ npm install @swagger-api/apidom-parser-adapter-openapi-json-3-1 34 $ npm install @swagger-api/apidom-parser-adapter-openapi-yaml-2 35 $ npm install @swagger-api/apidom-parser-adapter-openapi-yaml-3-0 36 $ npm install @swagger-api/apidom-parser-adapter-openapi-yaml-3-1 37 $ npm install @swagger-api/apidom-parser-adapter-yaml-1-2 38 $ npm install @swagger-api/apidom-reference
Usage
Every package of the monorepo has an associated README file demonstrating its purpose and containing usage examples.
ApiDOM Playground
ApiDOM Playground is a React application that runs in a browser and can visually demonstrate capabilities
of the ApiDOM. ApiDOM Playground is build and deployed whenever the new commit lands on main branch.
ApiDOM Playground is available at https://swagger-api.github.io/apidom/
Development
This is a monorepo for all ApiDOM packages. All the code is written in TypeScript. All the information necessary for working with monorepo can be found in this article.
Assuming prerequisites are already installed, Node.js >=22.14.0 and npm >=10.9.2
are the minimum required versions that this repo runs on, but we recommend using the latest version of Node.js@22.
Setting up
Run the following commands to setup the repository for local development:
1 $ git clone https://github.com/swagger-api/apidom.git 2 $ cd apidom 3 $ npm i 4 $ npm run build
Setting up via docker
There are situations, when satisfying all the prerequisites of this repository on you local
development machine is just not possible. In that case, you can use docker to get around it.
Repository directory is mounted as volume inside a running container called apidom-dev.
That way you can edit code locally on your development machine and run npm scripts
inside the apidom-dev docker container.
Build the ApiDOM docker image:
1 $ git clone https://github.com/swagger-api/apidom.git 2 $ cd apidom 3 $ docker-compose up
Install dependencies and build ApiDOM inside the docker container:
1$ docker exec -it apidom-dev npm i --verbose 2$ docker exec -it apidom-dev npm run build
Run npm scripts inside the docker container:
1$ docker exec -it apidom-dev npm run test
Note: monorepo needs to be build in order for monorepo package topology to work correctly.
Setting up via GitHub Codespaces
This repository is configured to work with GitHub Codespaces. Create a new codespace by picking this repository from the list of available repositories. Once the codespace is created, run following commands inside the codespace terminal:
1 $ npm i 2 $ npm run build
npm scripts
Some npm scripts run in parallel. Default maximum parallelization is set 2. This is due to the fact
that our CI runs on GitHub Actions which uses GitHub hosted runners with 2-core CPUs.
If you have computer with more than 2 CPU cores, you can speed running npm scripts by
creating an environment variable called CPU_CORES and assign it a number of your CPU cores.
Assuming 4 CPU cores are available:
1 $ export CPU_CORES=4 2 $ npm run build
build scripts now runs much faster than before.
Build artifacts
1 $ npm run build
Test
You must first build the artifacts before running tests.
1 $ npm run test
Lint
1 $ npm run lint
Check TypeScript types
1 $ npm run typescript:check-types
Generate TypeScript types
1 $ npm run typescript:declaration
Clean
1 $ npm run clean
Build artifacts
All the packages have identical build system and expose build artifacts in identical way. After building artifacts, every package will contain five (5) additional directories. All the build artifacts are polymorphic - they can run in different environments like Web Browser, Node.js or Web Worker.
*.cjs
These files are generated inside src/ directory.
Contain ES5 compatible code with CommonJS style imports.
These build fragments are ideal for legacy Node.js and similar environments.
*.mjs
These files are generated inside src/ directory.
Contain ES5 compatible code with ES6 imports.
These build fragments are ideal for modern Node.js,
bundling with Webpack or similar bundlers.
dist/
This directory contains bundled build fragments that use UMD modules. They're ideal for browser usage. The fragments are both in minified and un-minified form.
types/
TypeScript types generated from the source code.
Using this monorepo as a local dev dependency
For using this monorepo as a local dev dependency for dependent project,
following commands needs to be issued inside the monorepo directory after
it has been cloned to a local filesystem:
1 $ npm i 2 $ npm run build 3 $ npm run link
This will install the dependencies, built the monorepo and link all it's packages to
global node_modules.
Usage in dependent project
Now that we have monorepo packages globally linked we can use them in dependent project.
Let's say dependent project needs to directly use following packages:
- @swagger-api/apidom-ast
- @swagger-api/apidom-core
Issuing following command from inside the dependent project will link these packages:
1 $ npm link @swagger-api/apidom-ast @swagger-api/apidom-core
If more packages (or all of them) need to be used in dependent project, they need to be explicitly
enumerated using above command and separated by single empty space.
Notice that we link packages using single npm link command. This is necessary
because of how npm link works internally. Always use single npm link command with
multiple package names as argument.
Don't ever do this!
1 $ npm link @swagger-api/apidom-ast 2 $ npm link @swagger-api/apidom-core
Setting up npm script in
dependent projectcan help keep things DRY.
Cleaning up
Dependent project
The best way to unlink monorepo packages from dependent project is to run following command
inside the dependent project:
1 $ npm i
Running npm i will remove the links to monorepo packages and install the packages from npm registry.
Note: running
npm unlink <package-name>independent projectwill remove the link to monorepo package, but will leave thedependent projectnode_modules in corrupted state as there is no version of the package installed anymore. Runningnpm iis always a prefered way to restore your node_modules to original state.
ApiDOM monorepo
It is not necessary to unlink monorepo packages from global node_modules. But if you
want to keep your global node_modules tidy you can run the following command in monorepo directory:
1 $ npm run unlink
Running above npm script will unlink all monorepo packages from global node_modules.
If you want to just unlink particular monorepo packages, you have to enumerate them explicitly:
1 $ npm unlink --global @swagger-api/apidom-ast @swagger-api/apidom-core
Contributing
This project uses swagger-api GitHub organizations contributing guide. You can obtain copy of this contributing guide at https://github.com/swagger-api/.github/blob/master/CONTRIBUTING.md. Read our contributing guide to learn about our development process, how to propose bugfixes and improvements, and how to build and test your changes to ApiDOM.
Documentation
If there is one thing API description languages have taught us, it is that a single contract provides the best and fastest way to design and iterate on an API. Developers building the API can move independently as they progress towards the defined contract found in the OpenAPI or RAML document. Conversely, API consumers can build tools for consuming the API based on the API definition document.
This same pattern has proven to be just as valuable for building API description languages and tooling. ApiDOM is the contract for producing and consuming the many API description languages and serialization formats and allows everyone to move quickly and independently.
What is an Element ?
ApiDOM is made up of many small elements that have a rich semantic meaning given their value and context. An element is an individual piece that makes up an API, and can range from defining a resource to providing an example of an HTTP request.
The ApiDOM defines elements to be used for:
Describing an API Describing data structures used within that API Describing parse results when parsing API-related documents These elements also seek to provide a way to decouple APIs and their semantics from the implementation details.
The structure of an ApiDOM is recursive by nature. When looking for specific elements, it is best to traverse the ApiDOM tree to look for a match. Querying the ApiDOM tree will decouple our code from specific API description language. Also, it decouples our code from the specific structure of these documents as long as they are semantically equivalent.
As a way to annotate JSON
ApiDOM provides the ability to take a normal JSON structure and add a layer on top of it for the purpose of annotating and adding semantic data. Instead of creating an entirely different structure to describe the data, ApiDOM's approach is to expand the existing structure (we call it "refracting" a structure). Here is an example to show our point.
Take the following simple JSON object.
1{ 2 "name": "John Doe", 3 "email": "john@example.com" 4}
Using ApiDOM, we can expand this out and add some human-readable titles and descriptions.
1{ 2 "element": "object", 3 "content": [ 4 { 5 "element": "member", 6 "meta": { 7 "title": "Name", 8 "description": "Name of a person" 9 }, 10 "content": { 11 "key": { 12 "element": "string", 13 "content": "name" 14 }, 15 "value": { 16 "element": "string", 17 "content": "John Doe" 18 } 19 } 20 }, 21 { 22 "element": "member", 23 "meta": { 24 "title": "Email", 25 "description": "Email address for the person" 26 }, 27 "content": { 28 "key": { 29 "element": "string", 30 "content": "email" 31 }, 32 "value": { 33 "element": "string", 34 "content": "john@example.com" 35 } 36 } 37 } 38 ] 39}
We added some semantic data to the existing data, but we did so while retaining the semantic structure of the data with the object and string elements. This means there is no semantic difference in the ApiDOM structure and the original JSON structure. It also means we can add extra semantics on top of these structural ones.
As a unifying structure
You may have noticed the similarities between the JSON example above and XML. XML has elements, attributes, and content. It would be a good question to ask if we simply turned JSON into XML.
ApiDOM is actually meant to provide these cross-format similarities. It means that a JSON structure may be refracted and converted to XML. It also means an XML document may be converted into ApiDOM. This also goes for YAML, HTML, CSV, and many other formats. ApiDOM is a way to use refracting to unify these structures.
Let's look at another example, this time refacting XML with ApiDOM.
1<person name="John Doe" email="john@example.com"></person>
This example in refracted form would look like the following snippet. Notice that we're using attributes in resulting ApiDOM structure.
1{ 2 "element": "person", 3 "attributes": { 4 "name": { 5 "element": "string", 6 "content": "John Doe" 7 }, 8 "email": { 9 "element": "string", 10 "content": "john@example.com" 11 } 12 } 13}
Since we can go back and forth between JSON, YAML, XML, and other formats, we are now able to use same toolset across the different formats. That means we could use XSLT to transform JSON documents.
As a queryable structure
ApiDOM is meant to free us from the structure of our documents, similar to how XML does with things like XPATH or the DOM. It means we can now query JSON documents as if there was an underlying DOM, which decouples our SDK from our structure and our structure from our data.
ApiDOM stages
There are three stages to ApiDOM
- Parse stage
- Refract stage
- Generate stage
Parse stage
The parse stage takes JSON string and produces ApiDOM structure using the base ApiDOM namespace. There are two phases of parsing:
- Lexical Analysis phase
- Syntactic Analysis phase
Lexical Analysis phase
Lexical Analysis will take a JSON string and turn it into a stream of tokens. tree-sitter / web-tree-sitter is used as an underlying lexical analyzer.
Syntactic Analysis
Syntactic Analysis will take a stream of tokens and turn it into an ApiDOM representation. CST produced by lexical analysis is syntactically analyzed, and ApiDOM structure using base (generic) ApiDOM namespace is produced. Syntactic analysis can further be direct or indirect. JSON parser has both direct and indirect syntactical analyzers, but YAML parser only has an indirect one.
Direct Syntactical analysis
This analysis directly turns tree-sitter CST into ApiDOM. Single traversal is required, which makes it super performant, and it's the default analysis used.
Indirect Syntactic analysis
This analysis turns trees-sitter CST into JSON AST representation. Then JSON AST is turned into ApiDOM. Two traversals are required, which makes the indirect analysis less performant than the direct one. Though less performant, having JSON AST representation allows us to do further complex analysis.
Refract stage
The refract stage takes a generic ApiDOM structure (base namespace) and traverses through it, adding, updating, and removing nodes as it goes along and turning it into semantic ApiDOM structure (like OpenAPI or AsyncAPI). This is by far the most complex part of ApiDOM. This is where plugins operate. If plugins are used, additional traversal is currently needed.
Generate stage
We can generate JSON/YAML documents from the ApiDOM structure. It doesn't matter if the original document was originally defined in JSON or YAML. Generated JSON/YAML documented will have exactly the same semantic information as the original one, but the style information from the original document is not preserved (white spaces/comments, etc..).
1flowchart TD 2 %% Input node 3 In["JSON/YAML string"] 4 5 %%--- Parse Stage and internals 6 subgraph Parse_Stage["Parse Stage"] 7 P1["Lexical Analysis<br/>JSON/YAML → CST"] 8 SA["Syntactic Analysis"] 9 SA1["Direct<br/>*CST → Generic ApiDOM*"] 10 SA2["Indirect<br/>*CST → JSON AST → Generic ApiDOM*"] 11 12 P1 --> SA 13 SA --> SA1 14 SA --> SA2 15 end 16 17 %%--- Refract Stage 18 subgraph Refract_Stage["Refract Stage"] 19 R["Generic ApiDOM + plugins → Semantic ApiDOM"] 20 end 21 22 %%--- Generate Stage 23 subgraph Generate_Stage["Generate Stage"] 24 G["Generate JSON/YAML output<br/>(style info lost)"] 25 end 26 27 %% Output node 28 Out["JSON/YAML string"] 29 30 %%--- Connections 31 In --> Parse_Stage 32 Parse_Stage --> Refract_Stage 33 Refract_Stage --> Generate_Stage 34 Generate_Stage --> Out
Having said that, this is how JSON OpenAPI 3.1 document gets transformed into ApiDOM:
with direct syntactic analysis (requires 2 traversals)
JSON string -> tree-sitter CST -> generic ApiDOM -> OpenAPI 3.1 ApiDOM
with indirect syntactic analysis (requires 3 traversals)
JSON string -> tree-sitter CST -> JSON AST -> generic ApiDOM -> OpenAPI 3.1 ApiDOM
with direct syntactic analysis and additional plugins (requires 3 traversal)
JSON string -> tree-sitter CST -> generic ApiDOM -> OpenAPI 3.1 ApiDOM -> plugins -> OpenAPI 3.1 ApiDOM
This very closely reflects how Babel works (Babel Plugin Handbook). Their transform phase is our refract phase. The only difference is that when plugins are involved, our transform phase requires 2 traversals instead of a single one. We can find a way in the future how to fold these 2 traversals into a single one.
License
ApiDOM is licensed under Apache 2.0 license. ApiDOM comes with an explicit NOTICE file containing additional legal notices and information.
This project uses REUSE specification that defines a standardized method for declaring copyright and licensing for software projects.
Software Bill Of Materials (SBOM)
Software Bill Of materials is available in this repository dependency graph.
Click on Export SBOM button to download the SBOM in SPDX format.
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