usage : docker run --rm -it -v $(pwd):/tmp -w /tmp nxwdjll/swagger-dsl test.dsl -x "json"
50K+
A CoffeeScript-based domain-specific language for generating JSON documents for Swagger.
See http://intellinote.github.io/swagger-dsl/demo/live.html for an in-browser, interactive demonstration.
Here is a Swagger-DSL-format document describing a simple REST API:
swagger_version 1.2
api_version 3.2
base_path 'http://api.example.com/rest/v3.2/'
GET '/user/{uid}':
summary: 'Fetch the user with the specified `uid`.'
returns: 'UserModel'
produces: json
parameters:
uid:[path,int64,required,'The user identifier']
include:[query,string,default:'family_name,given_name,email']
responses:
200:true
401:'User or application must authenticate'
403:'User not authorized to take this action'
404:'No user with the given `uid`'
MODEL 'UserModel':
uid: ['User identifier',int64,required]
given_name: ['First name',string]
family_name: ['Last name',string]
email: ['Email address',required,string]
tel: ['Phone numbers',[ref:'PhoneNumber']]
MODEL 'PhoneNumber':
type: [string,enum:['home','work','mobile','other'],required]
number: [string,required]
When processed with swagger-dsl (for example, by executing swagger-dsl listings/user), the following Swagger Specification JSON document is generated:
{
"apis": [
{
"path": "/user/{uid}",
"operations": [
{
"summary": "Fetch the user with the specified <code>uid</code>.",
"type": "UserModel",
"produces": [
"application/json"
],
"parameters": [
{
"name": "uid",
"paramType": "path",
"type": "integer",
"format": "int64",
"required": true,
"defaultValue": "The user identifier"
},
{
"name": "include",
"paramType": "query",
"type": "string",
"default": "family_name,given_name,email",
"required": false,
"format": "string"
}
],
"responseMessages": [
{
"code": "200",
"message": "OK"
},
{
"code": "401",
"message": "Unauthorized; User or application must authenticate"
},
{
"code": "403",
"message": "Forbidden; User not authorized to take this action"
},
{
"code": "404",
"message": "Not Found; No user with the given <code>uid</code>"
}
],
"method": "GET",
"nickname": "get__user__uid_"
}
]
}
],
"models": {
"UserModel": {
"properties": {
"uid": {
"description": "User identifier",
"format": "int64",
"type": "integer",
"required": true
},
"given_name": {
"description": "First name",
"type": "string",
"required": false
},
"family_name": {
"description": "Last name",
"type": "string",
"required": false
},
"email": {
"description": "Email address",
"required": true,
"type": "string"
},
"tel": {
"description": "Phone numbers",
"type": "array",
"items": {
"$ref": "PhoneNumber"
},
"required": false
}
},
"id": "UserModel"
},
"PhoneNumber": {
"properties": {
"type": {
"type": "string",
"enum": [
"home",
"work",
"mobile",
"other"
],
"required": true
},
"number": {
"type": "string",
"required": true
}
},
"id": "PhoneNumber"
}
},
"swaggerVersion": "1.2",
"apiVersion": "3.2",
"basePath": "http://api.example.com/rest/v3.2/"
}
Swagger DSL is published as swagger-dsl on npm.
Hence you can install a pre-packaged version with the command:
npm install -g swagger-dsl
(Omit the -g to install swagger-dsl "locally" in the current working directory.)
The source code and documentation for Swagger DSL is available on GitHub at intellinote/swagger-dsl. You can clone the repository via:
git clone [email protected]:intellinote/swagger-dsl
Once you've cloned the respository, move (cd) into it and run:
make clean install test bin
in order to download and compile any external depedencies (install), run the unit test suite to confirm that everything was installed properly (test) and create the swagger-dsl script in the ./bin directory (bin).
Assuming swagger-dsl is in your $PATH (it will be in node_modules/.bin if you installed via npm, or ./bin if you installed from the source files) you can run:
swagger-dsl myfile.dsl
to generate a Swagger Specification JSON document from the Swagger DSL file myfile.dsl.
By default Swagger DSL will parse and execute each file you enumerate on the command line and print the resulting JSON document(s) to STDOUT.
You can use:
swagger-dsl myfile.dsl -o myfile.json
to write the output to the specified file.
-xYou can also use:
swagger-dsl myfile.dsl -x "json"
to write the output to a file named myfile.dsl.json. (More generally, -x or --suffix specifies an extension to add to the input file name(s) to generate output file name(s). Hence:
swagger-dsl listings/*.dsl -x "json"
will process all files with the extension .dsl in the listings directory. The output from processing each file will be written to files with names that end with .dsl.json, also in the listings directory.)
-rFor greater control over the generated filenames you can use the -r or --rename command line option to specify a rule for generating output file names based on input file names. For example:
swagger-dsl listings/*.dsl -r listings/*.dsl --rename '/^(.+)\.dsl$/,\"$1\"'
will change the extension from .dsl to .json.
More generally, -r or --rename accepts a comma-delimited regular expression, string pair. The regular expression will be matched against the input filename, and the string will be used to generate the output filename (by replacing $n with the text matching nth group in the regular expression).
The swagger-dsl library and related documentation are made available under an MIT License. For details, please see the file LICENSE.txt in the root directory of the repository.
Your contributions, bug reports and pull-requests are greatly appreciated.
We're happy to accept any help you can offer, but the following guidelines can help streamline the process for everyone.
You can report any bugs at github.com/intellinote/swagger-dsl/issues.
Our preferred channel for contributions or changes to the source code and documentation is as a Git "patch" or "pull-request".
If you've never submitted a pull-request, here's one way to go about it:
git checkout -b my-new-branch).If you'd rather use a private (or just non-GitHub) repository, you might find these generic instructions on creating a "patch" with Git helpful.
If you are making changes to the code please ensure that the unit test suite still passes.
If you are making changes to the code to address a bug or introduce new features, we'd greatly appreciate it if you can provide one or more unit tests that demonstrate the bug or exercise the new feature.
Please Note: We'd rather have a contribution that doesn't follow these guidelines than no contribution at all. If you are confused or put-off by any of the above, your contribution is still welcome. Feel free to contribute or comment in whatever channel works for you.
Intellinote is a multi-platform (web, mobile, and tablet) software application that helps businesses of all sizes capture, collaborate and complete work, quickly and easily.
Users can start with capturing any type of data into a note, turn it into a task, assign it to others, start a discussion around it, add a file and share – with colleagues, managers, team members, customers, suppliers, vendors and even classmates. Since all of this is done in the context of private and public workspaces, users retain end-to-end control, visibility and security.
For more information about Intellinote, visit https://www.intellinote.net/.
Interested in working for Intellinote? Visit the careers section of our website to see our latest technical (and non-technical) openings.
Content type
Image
Digest
sha256:25690392a…
Size
112.1 MB
Last updated
almost 11 years ago
docker pull nxwdjll/swagger-dsl