speccy
Make sure your OpenAPI 3.0 specifications are more than just valid, make sure they're useful!
Taking off from where Mike Ralphson started with linting in swagger2openapi, Speccy aims to become the rubocop or eslint of OpenAPI.
Requirements
OpenAPI Specification
Currently tracking v3.0.0
If you want to run speccy on OpenAPI (f.k.a Swagger) v2.0 specs, run it through swagger2openapi first and speccy can give advice on the output.
Usage
Usage: speccy <command>
Options:
-V, --version output the version number
-c, --config [configFile] config file (containing JSON/YAML). See README for potential values.
-h, --help output usage information
Commands:
lint [options] <file-or-url> ensure specs are not just valid OpenAPI, but lint against specified rules
resolve [options] <file-or-url> pull in external $ref files to create one mega-file
serve [options] <file-or-url> view specifications in beautiful human readable documentation
Lint Command
The goal here is to sniff your files for potentially bad things. "Bad" is subjective, but you'll see validation errors, along with special rules for making your APIs better..
Usage: lint [options] <file-or-url>
ensure specs are not just valid OpenAPI, but lint against specified rules
Options:
-q, --quiet reduce verbosity
-r, --rules [ruleFile] provide multiple rules files
-s, --skip [ruleName] provide multiple rules to skip
-j, --json-schema treat $ref like JSON Schema and convert to OpenAPI Schema Objects
-v, --verbose increase verbosity
-h, --help output usage information
You'll see output such as:
#/info R: info-contact D: info object should contain contact object
expected Object {
version: '5.0',
title: 'Foo API'
} to have property contact
There are going to be different things people are interested in, so the default rules suggest things we think everyone should do; adding descriptions to parameters and operations, and having some sort of contact info.
There are strict rules which demand more contact details, "real" domains, a license, and requires tags have a description!
Resolve Command
Resolving $ref
is the art of taking multiple files and squashing them all down into one big OpenAPI file. By default it will output to stdout, but you can pass -o
with a file name to write the file locally.
Usage: resolve [options] <file-or-url>
pull in external $ref files to create one mega-file
Options:
-o, --output <file> file to output to
-q, --quiet reduce verbosity
-j, --json-schema treat $ref like JSON Schema and convert to OpenAPI Schema Objects
-v, --verbose increase verbosity
-h, --help output usage information
Starting with the fantastic resolver logic form swagger2openapi, speccy has one of the most robust
resolvers out there. It avoid cyclical dependencies (when A has a property that $ref
s A, which in turn destroys your CPU), and all sorts of other things.
Thanks to the --json-schema
switch, you can have an OpenAPI file which $ref
s JSON Schema files (not just OpenAPI-flavoured JSON Schema), then resolve them all into one real OpenAPI file, thanks to wework/json-schema-to-openapi-schema.
Serve Command
Using ReDoc, speccy can offer a preview of your specifications, in human-readable format.
In the future we'll have speccy outlining improvements right in here, but one thing at a time.
Usage: serve [options] <file-or-url>
view specifications in beautiful human readable documentation
Options:
-p, --port [value] port on which the server will listen (default: 5000)
-q, --quiet reduce verbosity
-j, --json-schema treat $ref like JSON Schema and convert to OpenAPI Schema Objects
-v, --verbose increase verbosity
-h, --help output usage information
Config File
To avoid needing to send command line options and switches every time, a config file can be used. Create
a speccy.yaml
in the root of your project.
Example:
jsonSchema: true
quiet: true
verbose: true
lint:
rules:
- strict
- ./some/local/rules.json
- https://example.org/my-rules.json
skip:
- info-contact
resolve:
output: foo.yaml
serve:
port: 8001
Calling Speccy from Code
Not just a command line tool, speccy can be used to normalize machine-readable specifications.
The loader object will return a promise that resolves to an object containing
the specification. For example:
const loader = require('speccy/lib/loader');
const options = {
resolve: true,
jsonSchema: true
};
loader
.loadSpec('path/to/my/spec', options)
.then(spec => console.log(JSON.stringify(spec)));
If options.resolve
is truthy, speccy will resolve external references.
Using Docker
To use Speccy without installing any node/npm specific dependencies, you can run it via docker:
docker run wework/speccy lint https://raw.githubusercontent.com/OAI/OpenAPI-Specification/master/examples/v3.0/petstore.yaml
You can work with local files by mounting your spec and any config files to the /project
directory when you run the container:
docker run \
-v openapi.yaml:/project/openapi.yaml \
wework/speccy lint openapi.yaml
Using with lint-staged
To lint your specifications before committing them you can use lint-staged to run speccy before each commit. Just install lint-staged and husky as devDependencies
and add the following to your package.json
:
"husky": {
"hooks": {
"pre-commit": "lint-staged"
}
},
"lint-staged": {
"*.{yml, yaml}": ["speccy lint openapi.yml", "git add"]
}
You can of course adjust the file filter and the speccy command to fit your setup.
Tests
To run the test-suite:
npm test
Contributing
Contributions are always welcome, no matter how large or small. Before contributing, please read the code of conduct.
Credits
License
MIT except the openapi-3.0.json
schema, which is taken from the OpenAPI-Specification and the alternative gnostic-3.0.json
schema, which is originally from Google Gnostic. Both of these are licensed under the Apache-2 license.