Pintura is a cross-platform server side JavaScript based REST architecture web framework using standards based HTTP client/server interaction with a focus on JSON formatted data. Pintura gives you out of the box RESTful HTTP/JSON interface to data, you can simply create data models and Pintura automatically provides an HTTP interface. Pintura consists of reusable CommonJS modules and JSGI middleware such that it can be used on any JSGI compliant JavaScript platform, but is tested on NodeJS and RingoJS. Pintura forms the core of the Persevere 2.0 framework which is designed for rich Internet applications that rely heavily on Ajax-driven data communication from the browser. To learn more about features, capabilities, and philosophy of Pintura see the introduction to Pintura. The getting started with Pintura article provides a great starting point for using Pintura to build Persevere applications. Pintura is primarily composed of JSGI middleware components, and these components are described here.
Pintura can be installed with NPM via:
npm install pintura
However, one of the easiest way to get started with Pintura is start with the Persevere example app, which can be installed with:
npm install persevere-example-wiki
Pintura can be installed in RingoJS likewise:
ringo-admin install persvr/pintura
See the Persevere installation instructions for more information.
You can then use "app" property from require("pintura/pintura") as a JSGI application. With jsgi-node you can start Pintura:
require("jsgi-node").start(require("pintura/pintura").app);
Pintura requires a local.json file to be present in the current working directory. An example of this file can be found here. At a minimum Pintura also requires an implementation of the require("pintura/pintura").getDataModel function to provide the data model that drives the HTTP REST interface.
You can see a more in-depth example of serving static files in combination with Pintura in the Persevere example app startup file.
Persevere applications are generally built upon models, which act as classes for data. Perstore is the persistence library that is used by Persevere for defining models. Models defined with Perstore are automatically made accessible through HTTP by Pintura. The goal of Pintura is that your application will primarily consist of model design and Pintura will handle the most of the mechanics of exposing that model through an HTTP/REST API. A simple example of a model is:
var Model = require("perstore/model").Model,
store = require("perstore/mongodb").MongoDB("Product");
Product = Model(store, {
properties: {
name: String
// we can define other properties, all
},
// we can define handlers
put: function(object, directives){
object.updated = new Date();
store.put(object, directives);
}
});
We can then expose this data model through Pintura's HTTP REST interface by implementing the getDataModel function on the pintura module. This function is called for each HTTP request:
require("pintura/pintura").getDataModel = function(request){
return {
Product: Product
};
};
Our data model will then be available at the path of /Product/ such that we can make HTTP requests like GET /Product/2.
With Persevere we can automatically interact with this data model through standard HTTP requests:
Pintura converts HTTP requests to method calls on the model. When an HTTP request is received it is converted to a call to the model of the form:
{model}.{httpMethod}({id or body},metadata);
For example if a request is received:
GET /Product/33
This will result in a call to the model like:
Product.get("33", metadata);
For the model above, there is no "get" method defined, so the default "get" handler would be used, which delegates to the store to get the object by id. If we made a request like:
PUT /Product/33
This would call the "put" handler defined in the model above. One can also query stores through HTTP. Requests of the form /{model}/?{query} are passed through to the model by calls to the "query" method on the model. Perstore provides query parsing capabilities and stores implement query execution (dependent on the capabilities of the DB), based on RQL. An example of a query:
GET /Product/?type=shoe&price=lt=20&sort(-rating)
Persevere's facet-based security model forms the foundation of access control and is described in this article. Facets are used to define the different levels of access for models. Pintura's security configuration object can then be configured to define how users are authenticated and which facets or access levels each user is given. The security configuration object is available at require("pintura/pintura").config.security. The primary functions that can be overriden or used are:
For example, we could choose to store passwords in plaintext by changing the encryptPassword method to a return the password unchanged:
require("pintura/pintura").config.security.encryptPassword = function(username, password){
return password;
};
Once authentication is established, we could then use the user's authentication state to restrict or allow access to different parts of the application data model. For example, we could check to see if a user is logged to determine if we should provide access to the "Secret" data:
var publicModel = {
Product: Product
};
var authorizedModel = {
Product: Product,
Secret: SecretModel
};
require("pintura/pintura").getDataModel = function(request){
var user = request.remoteUser;
if(user){
return authorizedModel;
}
return publicModel;
};
We could also potentially have a data model that is readonly for some users and editable for others. In the example above, we could specify that the Product table is readonly for users that are not logged in:
var Restrictive = require("perstore/facet").Restrictive;
var publicModel = {
// the Product table is restricted to readonly for public access
Product: Restrictive(Product)
};
var authorizedModel = {
// the Product table is unrestricted here for authorized users
Product: Product,
Secret: SecretModel
};
// assign the data model based on authentication as above
Pintura includes middleware for catching errors and converting them to appropriate HTTP error status codes. This makes it easy for application code to throw an error and have it automatically propagate to an appropriate HTTP failure response. The following uncaught errors (until the error middleware catches them) are translated:
For example, if we had a model definition, we could throw a TypeError if the date property on PUT requests is not a valid date. This will result in a 403 response from the server to the client for PUT requests that violate this condition:
Purchase = Model(store, {
// we can define handlers
put: function(object, directives){
if(isNaN(new Date(object.date).getTime())){
throw new TypeError("Invalid date");
}
...
}
});
One of the core concepts of the REST architecture is content negotiation which permits multiple views or representations of resources or objects. Providing content negotiation is a key functionality that Pintura provides. Pintura utilizes a set of media type handlers to find the best representation for serializing (or deserializing) data. Pintura comes with several media type handlers (found in pintura/media/) including JSON, JavaScript, multipart form-data, HTML, Atom, and others.
To request a JSON view of data, include an Accept header in your HTTP request:
Accept: application/json
Accept headers can include multiple options and quality values. By default application/javascript is considered the highest quality represention by Pintura (it is basically the same as JSON but also can include date literals and special numeric types like NaN and Infinite).
This folder contains modules that implement various media types. These media types can deserialize raw content to objects and serialize objects to raw content. These media types are registered by pintura module. Below are the media type modules, their name and default quality. The quality is a number between 0 - 1 that determines it's preference. The content type is selected by choosing the media with the highest product of the requested quality setting (from the Accept header) and the server's quality setting (defined by the media module).
This module is responsible for handling content negotiation, determining the appropriate media deserialization or renderer for a given content type or requested content type, by choosing the media type with the highest calculated quality setting for the negotiation.
Creating new media types is a common way to extend Pintura with additional formats. This module provides a constructor for creating new media handlers that will be registered for the content negotiation process. To create a new media type handler, use the Media constructor. This constructor takes an object argument with four properties:
Make sure you include your media module in your top level app module so it is executed.
Pintura can handle requests for "pages" of data, providing query results with start and ending index limits, through Range headers. To request items 10 through 19 of a query, include a Range header:
GET /Product/?type=shoe
Range: items=10-19
The server will return a Content-Range header indicating the range returned and total count of the results:
HTTP/1.1 206 Partial Content
Content-Range: items 10-19/122
Pintura utilizes the message/* category of media types for indicating a set of requests or messages. Normally each HTTP request triggers one action in the store in its own transaction, but a request with a content type of message/sub-type (usually message/json or message/javascript) will be treated as a set of requests that are all processed within one transaction. This allows you to do several updates with one HTTP request. For request with a set of messages, the body should be an array of objects, where each object can have the following properties (only "method" is required):
For example, updating two objects could be done:
POST /Product/
Content-Type: message/json
Accept: message/json
[
{to:"2", method:"put", body:{name:"updated 2"}, id: 1},
{to:"3", method:"put", body:{name:"updated 3"}, id: 2}
]
The message/* media type can also be used in Accept headers to indicate that a response with a set of messages should be returned. This should be used for bulk updates. A response will be an array of objects where each object may have the following properties:
An example response (for the requests above):
Content-Type: message/json
[
{"from":"2", "body":{"name":"updated 2"}, "id": 1},
{"from":"3", "body":{"name":"updated 3"}, "id": 2}
]
The message/* media type can also be useful for real-time notification of events, AKA comet. Stores and models that support notifications can return observable objects, typically through the "subscribe" method, to indicate that multiple events may be emitted that can later be delivered to the client. When message requests are observable instead of direct value, responses will not be sent to the client until there is a message ready to be sent. For example, to subscribe to all events that take place on /User/john:
POST /User/
Content-Type: message/json
Client-Id: 251ab4ac9312f
Accept: message/json
[
{to:"john", method:"subscribe"}
]
The response to the client will be delayed until an event/message for /User/john occurs.
For maximum browser compatibility, typically long-polling is used for comet applications. However, there is always a time gap between responses and the next request from the browser. Consequently for continuous gap-free subscriptions, it can be highly useful to emulate a continuous connection or queue for messages. This can be done by including a Client-Id header. Clients can generate a random id, and repeated connect using the same client id. Between requests, any events (from subscriptions) will be pushed into a queue for the given client id until the next request.
The Client-Id header can be included in standard requests as well, allowing other operations to add event sources and subscriptions to the current client queue.
Some browsers support XHR streaming and do not require long-polling repeated reconnections. If you wish to use streaming, include a Streaming header:
Streaming: true
The response will continue indefinitely, sending new messages as they occur.
Pintura includes support for cross-domain requests from the browser/JavaScript through JSONP, window.name, or CORS. To make a request with JSONP, you can do add a callback parameter
/Product/33?callback=my_callback
Pintura provides session management through session middleware. This middleware adds a getSession(createIfNecessary, expires) method to the request object. There is also a statically accessible exported function for accessing sessions:
require("pintura/jsgi/session").getCurrentSession(createIfNecessary, expires)
The session object is a persistent object and therefore the save() method that must be called if any changes are made to the session object (that need to be persisted to future requests).
It is worth noting that one of the goals of REST applications is to minimize server management of application state, so session use should be generally be avoided or kept to a minimum when possible.
Pintura supports JSON-RPC to call methods on objects. One can call a method on a persisted object by using the URL for the object, and JSON-RPC encoded request entity that describes the method invocation to make. For example:
POST /Product/33
Content-Type: application/json
Accept: application/json
{
method:"addNote",
params:["cool product"],
id:"call1"
}
Pintura will then lookup the object with the id of "/Product/33" and call object.addNote("cool product"). The return value or thrown error from the call will be returned in a JSON-RPC response.
Pintura is composed of a set of JSGI middleware components. JSGI is designed for asynchronous web applications, and is well-suited for NodeJS's asynchronous architecture. JSGI applications are functions that can be called with a request object as an argument, and return a response object, or a promise for a response. JSGI middleware generally refers to a function that takes a JSGI application as an argument and returns a new JSGI application with adding functionality. For example, we could be create a very simple JSGI application:
app = function(request){
return {
status: 200,
headers: {},
body: ['{"some":"json"}']
};
}
Now we could apply middleware to this application to add functionality. For example, we could add JsonP support (for cross-domain requests) with the xsite middleware:
newApp = require("pintura/jsgi/xsite").JsonP(app);
The top-level pintura module, by default, applies a set of 16 middleware components to create a JSGI application providing a robust web framework. An introduction to the Pintura middleware can be found here. By default you don't need to directly manipulate these JSGI modules unless you want to customize or alter the middleware stack. The pintura module provides all these middleware components with a default working setup that be immediately used without any knowledge of the middleware components described below. However, understanding the middleware modules can be important in understanding the full capabilities of Pintura.
The middleware modules in Pintura are found in the "jsgi" folder. Most of these modules directly a function that can be used as the middleware function, and typically take configuration information as the first parameter and the next application as the second. Below are the syntax and description of these modules:
app = require('pintura/jsgi/auth')(security, nextApp);
The auth module handles HTTP authorization, performing the HTTP request side of user authentication and calling the security module to perform the authentication and determine the authorization of the user. This module will set the "remoteUser" property on the request and the "currentUser" property on the promise context if a user is authenticated. This module returns a middleware function that takes a security object as the first argument, and the next app as the second argument.
app = require('pintura/jsgi/rest-store')(config);
This module delegates the HTTP REST requests to the appropriate data model. This component will call the method on the model corresponding the request method name (converted to lowercase), so a PUT request will result in a model.put() call. The model is determined by the path of the request before the first slash. The first argument provided to the call will be the path for the requests without a body, and the body for requests with a body. The second argument is an object with the headers and the path as the "id" property.
This component will alternately call the query() method if the request is a GET with a query string. It will also handle the Range header, converting it to an appropriate limit() parameter in the query string.
app = require('pintura/jsgi/media').Serialize(mediaSelector, nextApp);
app = require('pintura/jsgi/media').Deserialize(mediaSelector, nextApp);
This component processes the HTTP content negotiation headers, calling the pintura/media module to perform content negotiation. This handles the request body deserialization and response body serialization. The upstream middleware/apps can expect the request.body value to be a deserialized object (for example, JSON would be parsed), and can return an object, array, or other value in the response.body and this middleware component will serialize it based on the client's preferred media type (defined in the Accept header). The content negotiation is described in more detail in the Content Negotiation section.
By default the mediaSelector should come from require("./media").Media.optimumMedia.
app = require('pintura/jsgi/csrf')(customHeader, nextApp);
This module provides CSRF protection to safeguard against malicious attempts to change data from other websites. This protection means that requests must prove that they are from your (same-origin) page and are therefore authorized requests. XHR requests can be validated by including a custom header (defaults to header named "x-requested-with", with any header value) to prove that the request was generated through XHR. Non-XHR requests (such as form-based requests) can prove their same-origin validation by including the cookie value from the "pintura-session" in a "pintura-session" query parameter.
If a request is not provably same-origin, the request object will include a "crossSiteForgeable" property value of true to indicate that it should be regarded with suspicion.
The customHeader argument can be the name of an alternate custom header to test for.
app = require('pintura/jsgi/xsite')(nextApp);
app = require('pintura/jsgi/xsite').JsonP(nextApp);
This module provides support for cross-domain requests, that is, it enables web pages that originate from other servers to request data from your server. This module supports three different forms of cross-domain support (each of these is a property:
app = require('pintura/jsgi/http-params')(nextApp);
This module provides a means for emulating HTTP headers and methods using query parameters. This is usually used in conjunction with the xsite middleware to enable further functionality for cross-domain requests. The following query parameters can be included:
app = require('pintura/jsgi/compress')(nextApp);
This module provides gzipping of content. Gzipping can significantly reduce the size of responses and improve performance. This module requires the installation of the "compress" package (npm install compress).
app = require('pintura/jsgi/cascade')(apps);
This module provides the ability to progressively try several JSGI applications until one provides a successful response. For example:
app = require('pintura/jsgi/cascade')([
app1, app2, app3
]);
In this scenario, the request would be first handled by app1. If the response was successful (not a 404), then the response would go to the client. If the response was a 404, then cascade will delegate to app2 to handle the request, and so on.
app = require('pintura/jsgi/static')({
urls: urls,
root: root,
directoryListing
});
This module provides request handling for static files. The static handler will only match paths that begin with one of the strings provided in the "urls" array. It will look in the directory specified by the "root" parameter for a file matching the path. The directoryListing parameter is a boolean indicating whether or not to show directory listings.
app = require('pintura/jsgi/error')(nextApp);
This module provides error handling, catching JavaScript errors and converting them to corresponding HTTP error responses. These responses are documented above in the Error Handling section.
app = require('pintura/jsgi/session').Session({
model: model
}, nextApp);
The session component adds support for HTTP sessions that persist across HTTP requests. Sessions are often used for maintaining user authorization and other application state information. If the optional "model" parameter is provided, the provided model will be used to store the sessions for the application. The Sessions section above for more information on accessing the current session.
app = require('pintura/jsgi/context')(vars, nextApp);
One of the challenges with working asynchronous code is that there can be times when you wish for some contextual state information to be preserved across multiple asynchronous actions, without having to actually pass the state to each function in the asynchronous chain. A common examples of such contextual state would be tracking the current transaction, or the currently logged in user. Such state information could be stored in a singleton (a module property or a global variable), but with asynchronous actions being interleaved, this is unsuitable for tracking state across asynchronous continuations of an action.
The promised-io package's promise module provides a facility for tracking state across asynchronous operations. The promise module tracks the "context" global variable, and whatever value that was in the variable at the time a promise was created will be restored when that promise is fulfilled (or rejected). The pintura/jsgi/context module adds a context object to the JSGI request object that is tied to the promise module.
app = require('pintura/jsgi/head')(nextApp);
This is a very simple middleware module that adds automatic support for HTTP HEAD requests. This component will convert HEAD requests to a GET request for downstream applications and then strip the response body from the response.
app = require('pintura/jsgi/cache').FetchCache(cache, nextApp);
app = require('pintura/jsgi/cache').UpdateCache(cache, nextApp);
Provides caching of downstream responses JSGI applications.
app = require('pintura/jsgi/redirect')(path);
Sends a redirect response to the provided path.
app = require('pintura/jsgi/pintura-headers')(serverName, nextApp);
This middleware adds a Server header and a username header to the HTTP responses.
Below are the top-level modules that are available in Pintura:
This module provides the default stack of Pintura middleware and an interface for configuring it. It registers the default set of media types. This module is the main interface for implementing access to the data model, and provides several important properties:
This is a JSGI application composed of the full stack of middleware that will expose your data models through RESTful requests. You can use this if you want to resuse the stack and add more middleware components.
This takes the Pintura configuration object. Properties on this object can be overriden to customize the behavior. The most important property on this object is the getDataModel, which has been described above as the means for defining which data models are exposed through the HTTP interface.
This function adds a connection to another server for the purposes of clustering. The connection object should conform to the WebSocket API, and provides a communication channel for the data to be shared.
This module provides a convenience function for easily starting Pintura on NodeJS using the jsgi-node delegator with WebSocket support.
This will start the given app, and route WebSocket requests through the app as well. For example:
require("pintura/start-node").start(require("pintura/pintura").app);
This module is responsible for implementing authentication and authorization. Typically you would modify the pintura module's config.security object to customize the security. However, the module also allows you to create new security objects.
This is a constructor that creates a new security object.
Pintura is part of the Persevere project, and therefore is licensed under the AFL or BSD license. The Persevere project is administered under the Dojo foundation, and all contributions require a Dojo CLA.
FAQs
JSGI-based RESTful JSON/JavaScript server
We found that pintura demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 1 open source maintainer collaborating on the project.
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