2013-06-15T20:12:57Z

Writing a Javascript REST client

Last month I published an article on writing RESTful web services in Python, in which I developed a small web service.

Today I'm putting my "front-end" hat to show you how to write a Javascript client application that uses the Python service.

Source code for this tutorial

The source code for this tutorial is available on my REST-tutorial project on github. The incremental versions are tagged and linked in the appropriate sections of the article to save you from having to type or copy/paste the code yourself.

Download the initial version: zip | github

This version includes just the REST server. To execute it under Python's development web server you have to run the following command:

  • For Linux, OS X and Cygwin: ./rest-server.py
  • For Windows: python rest-server.py

The development server will be listening for requests on port 5000 of the local host, so you'll access it as http://localhost:5000.

The REST web service

In the aforementioned article I developed a simple web service that maintains a to-do list. The REST API endpoints for this service are:

HTTP MethodURIAction
GEThttp://[hostname]/todo/api/v1.0/tasksRetrieve list of tasks
GEThttp://[hostname]/todo/api/v1.0/tasks/[task_id]Retrieve a task
POSThttp://[hostname]/todo/api/v1.0/tasksCreate a new task
PUThttp://[hostname]/todo/api/v1.0/tasks/[task_id]Update an existing task
DELETEhttp://[hostname]/todo/api/v1.0/tasks/[task_id]Delete a task

All the endpoints in this service are secured by HTTP basic authentication.

The only resource exposed by this service is a "task", which is composed of the following data fields:

  • uri: unique URI for the task. String type.
  • title: short task description. String type.
  • description: long task description. Text type.
  • done: task completion state. Boolean type.

The REST server article shows how to place calls into this server using a command line utility called curl. Please see that article for details on this if you are interested in learning about the server side.

We will not discuss any more server related matters today. Are you ready to cross to the client-side? Let's go!

Choosing the stack

We will develop a client application that will run on web browsers, so we need to decide what tools and/or frameworks we will use.

For the base stack we don't really have much of a choice: The layout will be done in HTML, styling will be done in CSS and scripting in Javascript. No surprises here. While there are other choices, these guarantee that most modern browsers will run our application.

But these technologies alone would make for a rough development experience. For example, while Javascript and CSS work in all browsers, implementations differ, many times in subtle or obscure ways. There are three areas in which we would benefit from higher level cross-browser frameworks:

  • Presentation and styling
  • REST request management
  • Templates and event handling

Let's review each and evaluate what options there are.

Presentation and styling

We don't really have the patience nor the interest to test several browsers to make sure our HTML, CSS and Javascript works. There are a few frameworks that provide already tested CSS styles and Javascript functions to build websites with a modern look and user interface.

We will use Twitter Bootstrap, the most popular CSS/Javascript layout framework.

REST request management

Our client application running inside the web browser will need to issue requests to the REST web server. The browser's Javascript interpreter provides an API for this called XMLHttpRequest, but the actual implementation varies from browser to browser, so we would need to write browser specific code if we wanted to code against this API directly.

Lucky for us there are several cross-browser Javascript frameworks that hide these little differences and provide a uniform API. Once again we will pick the leading framework in this category, jQuery, which not only provides a uniform Ajax API but a large number of cross-browser helper functions.

Templates and event handling

Finally, our client application will need to generate dynamic content that will be inserted into an existing HTML document, and also update this content as a response to the actions issued by the user. We could use jQuery for all this, but jQuery's support in this area is pretty basic.

Many application frameworks adopt a pattern called Model View Controller to write maintainable applications that separate data from behavior. In MVC frameworks models store the data, views render the data and controllers update views and models according to user actions. The separation between data, presentation and behavior is very clear. There are some variations of MVC, like MVP (Model View Presenter) or MVVM (Model View ViewModel) that are popular as well. All these patterns are usually referred together as MV* frameworks.

MV* frameworks in the client side is a very hot topic these days, there are several projects that compete in this area without a clear winner. Here are the ones that I have evaluated:

AngularJS and Ember.js are the ones with the most features, in particular both have two-way data binding, which allows you to associate Javascript variables to elements in the HTML page so that when one changes the other updates automatically. They both look pretty good, but the learning curve is steep, and their documentation is pretty bad.

Backbone is the oldest framework of the four. It has no automatic data binding, instead you have to set up event handlers and write the code to perform the updates inside them.

Knockout was a surprise. This is a framework that is smaller than the other three, its main feature is two-way data binding. The documentation is excellent, very detailed and complete. There is a fun interactive tutorial followed by reference documentation and several examples, all integrated into an easy to navigate site.

Based on the above analysis, I've decided to give Knockout a chance.

Basic page layout

Let's begin by creating the main page skeleton:

<!DOCTYPE html>
<html>
<head>
<title>ToDo API Client Demo</title>
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<link href="http://netdna.bootstrapcdn.com/twitter-bootstrap/2.3.2/css/bootstrap-combined.min.css" rel="stylesheet">
<script src="http://ajax.aspnetcdn.com/ajax/jquery/jquery-1.9.0.js"></script>
<script src="http://netdna.bootstrapcdn.com/twitter-bootstrap/2.3.2/js/bootstrap.min.js"></script>
<script src="http://ajax.aspnetcdn.com/ajax/knockout/knockout-2.2.1.js"></script>
</head>
<body>
    <div class="navbar">
        <div class="navbar-inner">
            <a class="brand" href="#">ToDo API Client Demo</a>
        </div>
    </div>
    <div id="main" class="container">

        Main content here!

    </div>
    <script type="text/javascript">

        // application code here!

    </script>
</body>
</html>

This is a pretty standard HTML5 document.

The meta name="viewport" comes from Bootstrap. It makes the page scale according to the browser dimensions, be it a browser on a desktop PC or one in a smartphone. What follows is the Bootstrap CSS file, which we import from a CDN (content delivery network) so that we don't have to host it ourselves. Next come the Javascript files for jQuery, Bootstrap and Knockout, also imported from CDNs.

In the body of the page we first have a top bar with the application title, created using Bootstrap's CSS styles. Then we have the main content area, where we will insert the application data. And finally, we will have our application code at the bottom, keeping in mind that for larger projects the application code should likely go into one or more independent Javascript source files.

Download the project at this stage: zip | github

To see how the page looks start the Python server and then navigate to http://localhost:5000/index.html in your browser.

Content area layout

Using Bootstrap styles we can create a mock up of the content area of our application:

TaskOptions
Done

Task title

Task description

In Progress

Task title

Task description

The HTML code that achieves the above look is:

<table class="table table-striped">
    <tr><td style="width: 1px;"></td><td><b>Task</b></td><td><b>Options</b></td></tr>
    <tr>
        <td>
            <span class="label label-success">Done</span>
        </td>
        <td><p><b>Task title</b></p><p>Task description</p></td>
        <td>
            <button class="btn">Edit</button>
            <button class="btn">Delete</button>
            <span><button class="btn">Mark In Progress</button></span>
        </td>
    </tr>
    <tr>
        <td>
            <span class="label label-important">In Progress</span>
        </td>
        <td><p><b>Task title</b></p><p>Task description</p></td>
        <td>
            <button class="btn">Edit</button>
            <button class="btn">Delete</button>
            <span><button class="btn">Mark Done</button></span>
        </td>
    </tr>
</table>
<button class="btn">Add Task</button>

Download the project at this stage: zip | github

Once again, at this point you can start the Python server and then navigate to http://localhost:5000/index.html in your browser to see the page.

Two-way data binding from the HTML side

The above HTML code looks great, but it is static, so it is of no use other than to prototype the look of our application. We now need to convert it into a Knockout view that can show actual data and respond to user clicks. For this we will use some constructs provided by Knockout:

<table class="table table-striped">
    <tr><td style="width: 1px;"></td><td><b>Task</b></td><td><b>Options</b></td></tr>
    <!-- ko foreach: tasks -->
    <tr>
        <td>
            <span data-bind="visible: done" class="label label-success">Done</span>
            <span data-bind="visible: !done()" class="label label-important">In Progress</span>
        </td>
        <td><p><b data-bind="text: title"></b></p><p data-bind="text: description"></p></td>
        <td>
            <button data-bind="click: $parent.beginEdit" class="btn">Edit</button>
            <button data-bind="click: $parent.remove" class="btn">Delete</button>
            <span data-bind="visible: done">
                <button data-bind="click: $parent.markInProgress" class="btn">Mark In Progress</button>
            </span>
            <span data-bind="visible: !done()">
                <button data-bind="click: $parent.markDone" class="btn">Mark Done</button>
            </span>
        </td>
    </tr>
    <!-- /ko -->
</table>
<button data-bind="click: beginAdd" class="btn">Add Task</button>

The ko foreach: tasks directive is inside an HTML comment to avoid making the HTML document illegal. Even as a comment, Knockout will recognize it and interpret it, causing all the HTML elements that appear after it and until the closing /ko comment to repeat once per item in the tasks collection (that we haven't defined yet).

Note that the HTML element that will display the task title got a data-bind="text: title" attribute added. This directive tells Knockout to bind the title variable to the text of the element. The title variable is obtained from the current context. Since we are inside a foreach loop the context is the current task in the tasks collection.

Knockout provides binding constructs that can connect to attributes of an element instead of its text. For example, the In progress and Done labels get their visible attribute bound to the done field of the task, so that only the label that reflects the current state of each task is visible while the other one is hidden. The same binding method is used for the buttons that change the task's done state.

To respond to user input Knockout provides the click binding, which takes a method name. For example, at the very bottom we have the Add Task button, which has a click binding to method beginAdd. Like variables, methods are searched in the current context. The button is outside the foreach loop, so it is in the global context, which as we will see soon is the ViewModel instance that controls the element.

The buttons that are inside the foreach are more tricky, because the context at the level is each task in the tasks collection. We could add methods to the task objects, but that is a complication since task objects will be returned by the REST server. Instead, we use the $parent prefix to indicate that the parent context should be used.

With the above changes our page is depending on a few things that don't exist yet:

  • a tasks collection that has all the tasks to display, each with fields called title, description, and done.
  • a method called beginEdit that opens a dialog box to edit the selected task.
  • a method called remove that deletes the selected task.
  • a method called markDone that changes that done state of the selected task to true.
  • a method called markInProgress that changes that done state of the selected task to false.
  • a method called beginAdd that opens a dialog box to enter a new task.

Two-way data binding from the Javascript side

Knockout uses the MVVM pattern. So far we have worked on the V part, which is the View. The M (Model) will come as JSON data delivered by the REST server. The last component of the triangle is the VM, or ViewModel. This is a Javascript object that will hold the bindings between the models and the views, and will also include the event handlers for user generated actions.

Let's write a mock ViewModel that can interact with our view. This code will be inserted at the bottom of the page, in the <script> area:

    function TasksViewModel() {
        var self = this;
        self.tasks = ko.observableArray();

        self.tasks([
            {
                title: ko.observable('title #1'),
                description: ko.observable('description #1'),
                done: ko.observable(false)
            },
            {
                title: ko.observable('title #2'),
                description: ko.observable('description #2'),
                done: ko.observable(true)
            }
        ]);

        self.beginAdd = function() {
            alert("Add");
        }
        self.beginEdit = function(task) {
            alert("Edit: " + task.title());
        }
        self.remove = function(task) {
            alert("Remove: " + task.title());
        }
        self.markInProgress = function(task) {
            task.done(false);
        }
        self.markDone = function(task) {
            task.done(true);
        }
    }
    ko.applyBindings(new TasksViewModel(), $('#main')[0]);

The var self = this; idiom the begins this function is common in Javascript functions that have callback functions, as it saves the original value of this so that the callbacks, which may have a different this, can use it.

The ko.observableArray() and ko.observable() are the magic that makes Knockout incredibly easy to use. Observables are special Javascript objects that connect a value from a Model to one or more data-bind attributes that refer to it in the View. Once the connection is established any changes to the value will automatically update the view, and any changes to the view will automatically update the value.

Knockout provides the ko.observable() object for single values and the ko.observableArray() for a collection of values. The array version is particularly interesting, because adding or removing array elements will also automatically update what appears in a ko.foreach section.

Something to keep in mind when working with observables is that they look like regular variables, but they are objects. One can be tempted to write this type of code to update an observable:

var myValue = ko.observable(5);
alert(myValue); // this does not work
myValue = 6; // this does not work

At first sight this appears to create an observable with the value 5, display the value in an alert window and then update it to 6. In reality, the alert will print an obscure string that represents the observable object itself, and the assignment will just replace the observable object with a regular value of 6. The correct way to access and modify and observable is to invoke it as a function:

var myValue = ko.observable(5);
alert(myValue()); // display value
myValue(6); // update value to 6

This is even more error prone on observable arrays, where the function call parenthesis sometimes have to be inserted before the square brackets:

var myArray = ko.observableArray([1, 2, 3]);
alert(myArray()[1]); // show second element

For our TasksViewModel object we have defined an observable array called tasks that will get connected to the ko.foreach: tasks that we have in our view.

We initialize our tasks collection with a mock Model that includes two task objects, each having observables for its properties, so that there are also automatic updates for the data-bind attributes that point to the fields of each task.

We then define the event handlers that will respond to click events. For now the beginAdd, beginEdit and remove just show an alert dialog. Note that Knockout sends the task object for the events that were generated from inside the ko.foreach.

The last two events are interesting, because instead of just alerting we are actually modifying our model. Since the task.done field is an observable the simple act of changing the value will trigger updates to the appropriate parts of the web page.

The last statement in the example calls ko.applyBindings to activate the ViewModel. The first argument is the created ViewModel object and the second argument is the root element in the HTML document to associate with it.

Download the project at this stage: zip | github

This is, again, a good time to check how the application is progressing. Go ahead and start the Python server and then open http://localhost:5000/index.html in your browser to see Knockout in action. You will see that the two example tasks in our Model were automagically rendered to the page, and that all the buttons are active. In particular try the "Mark Done" and "Mark In Progress" buttons, to see how simple it is to update the page when data changes.

Connecting to the REST server

Now that we have the client rendering a mock model we are ready to switch to the real thing.

To make an HTTP request to our server we will use jQuery's $.ajax() function. Here is a second version of our TasksViewModel, modified to send a request to the server for the list of tasks:

    function TasksViewModel() {
        var self = this;
        self.tasksURI = 'http://localhost:5000/todo/api/v1.0/tasks';
        self.username = "miguel";
        self.password = "python";
        self.tasks = ko.observableArray();

        self.ajax = function(uri, method, data) {
            var request = {
                url: uri,
                type: method,
                contentType: "application/json",
                accepts: "application/json",
                cache: false,
                dataType: 'json',
                data: JSON.stringify(data),
                beforeSend: function (xhr) {
                    xhr.setRequestHeader("Authorization", 
                        "Basic " + btoa(self.username + ":" + self.password));
                },
                error: function(jqXHR) {
                    console.log("ajax error " + jqXHR.status);
                }
            };
            return $.ajax(request);
        }

        self.beginAdd = function() {
            alert("Add");
        }
        self.beginEdit = function(task) {
            alert("Edit: " + task.title());
        }
        self.remove = function(task) {
            alert("Remove: " + task.title());
        }
        self.markInProgress = function(task) {
            task.done(false);
        }
        self.markDone = function(task) {
            task.done(true);
        }

        self.ajax(self.tasksURI, 'GET').done(function(data) {
            for (var i = 0; i < data.tasks.length; i++) {
                self.tasks.push({
                    uri: ko.observable(data.tasks[i].uri),
                    title: ko.observable(data.tasks[i].title),
                    description: ko.observable(data.tasks[i].description),
                    done: ko.observable(data.tasks[i].done)
                });
            }
        });
    }
    ko.applyBindings(new TasksViewModel(), $('#main')[0]);

Let's go over the changes from top to bottom.

At the top of the TasksViewModel class we define a few new member variables. We will use tasksURI as our root URI to access the REST server. If you recall, this is the URI that when queried with the GET HTTP method returns the list of tasks. We also have two variables that record the login information, which for now we are setting to values that are known to work (we will improve on this later).

The tasks observable array is still there, but we do not initialize it with mock data anymore.

Then we have a new method, simply called ajax. This is a helper function that wraps jQuery's $.ajax() call and makes it more convenient. The function takes three arguments, the URI to connect to, the HTTP method to use and optionally the data to send in the body of the request.

Our ajax function doesn't really do much, it just creates a request object and sends it over to $.ajax(). In addition to the data given in the function arguments, the request object include the mime type for the request and the response, it disables caching and sets a couple of mysterious callback functions.

The first callback function is called beforeSend, and jQuery will invoke it after it has created the jqXHR object that will carry over the request. We need to use this callback to insert the HTTP Basic authentication credentials, because without that the server will not accept our request. For now we just encode the hardcoded username and password. We use the btoa function to encode the credentials in base64 format, as required by the HTTP protocol.

The second callback function will be invoked by jQuery if the request comes back with an error code. This can happen if the username and/or password are incorrect, for example. In this case we just log the error.

Our ajax wrapper function returns the return value from $.ajax, which is a promise object. A promise acts as a proxy for a result of an asynchronous function. When $.ajax() is invoked a request is sent to the server, but the function returns immediately without waiting for the response. The promise object represents that unknown response.

The last change is at the bottom of the class definition, where the actual request to the REST server is made. Here is that snippet of code copied again:

        self.ajax(self.tasksURI, 'GET').done(function(data) {
            for (var i = 0; i < data.tasks.length; i++) {
                self.tasks.push({
                    uri: ko.observable(data.tasks[i].uri),
                    title: ko.observable(data.tasks[i].title),
                    description: ko.observable(data.tasks[i].description),
                    done: ko.observable(data.tasks[i].done)
                });
            }
        });

We call the ajax() wrapper function with the arguments to send a GET request to the server on the main URI. Then on the return promise we call done(). All jQuery promises provide a done method that takes a callback. The callback will be invoked once the asynchronous function associated with the promise ends, with the result of the function passed as an argument.

Our done callback will receive the response data, which is a JSON object that contains the array of tasks returned by the server. We then take this array and for each element create a similar object to add to our tasks observable array. Note that we can't add the task returned by the server directly because we need some of the fields in the tasks to be observables, so that they update the page automatically when they change.

Download the project at this stage: zip | github

If you try the application with these changes you will see the task list from the server rendered in the page.

Adding a new task

Adding a new task is fun because it requires us to create a dialog box where the user can enter the details.

The Boostrap documentation provides all the information required to create modal dialog boxes. Below is the code that creates a dialog box with a form inside to enter task information:

<div id="add" class="modal hide fade" tabindex="=1" role="dialog" aria-labelledby="addDialogLabel" aria-hidden="true">
    <div class="modal-header">
        <button type="button" class="close" data-dismiss="modal" aria-hidden="true">×</button>
        <h3 id="addDialogLabel">Add Task</h3>
    </div>
    <div class="modal-body">
        <form class="form-horizontal">
            <div class="control-group">
                <label class="control-label" for="inputTask">Task</label>
                <div class="controls">
                    <input data-bind="value: title" type="text" id="inputTask" placeholder="Task title" style="width: 150px;">
                </div>
            </div>
            <div class="control-group">
                <label class="control-label" for="inputDescription">Description</label>
                <div class="controls">
                    <input data-bind="value: description" type="text" id="inputDescription" placeholder="Description" style="width: 300px;">
                </div>
            </div>
        </form>
    </div>
    <div class="modal-footer">
        <button data-bind="click: addTask" class="btn btn-primary">Add Task</button>
        <button class="btn" data-dismiss="modal" aria-hidden="true">Cancel</button>
    </div>
</div>

This dialog box will be hidden initially. The code can be inserted anywhere in the page, for example a good place is right after the main div.

If you look carefully you will see that the <input> elements have data-bind attributes in them that connect to their values. This is so that we can bind variables to them. Likewise, the Add Task button at the bottom is bound to its click event, so that we can act when the user accepts the dialog box.

According to the Bootstrap documentation to display the dialog box we have to do this:

$('add').modal('show');

Since we want to display this dialog box when the user clicks the Add Task button we can now replace our alert with the real thing:

        self.beginAdd = function()
        {
            $('#add').modal('show');
        }

This dialog box is effectively our second View, it is a different entity than our task list. Since this is a different View, we also need a different Model and ViewModel:

    function TasksViewModel() {

        // ... same contents and before

        self.add = function(task)
        {
            self.ajax(self.tasksURI, 'POST', task).done(function(data) {
                self.tasks.push({
                    uri: ko.observable(data.task.uri),
                    title: ko.observable(data.task.title),
                    description: ko.observable(data.task.description),
                    done: ko.observable(data.task.done)
                });
            });
        }
    }
    function AddTaskViewModel() {
        var self = this;
        self.title = ko.observable();
        self.description = ko.observable();

        self.addTask = function() {
            $('#add').modal('hide');
            tasksViewModel.add({
                title: self.title(),
                description: self.description()
            });
            self.title("");
            self.description("");
        }
    }

    var tasksViewModel = new TasksViewModel();
    var addTaskViewModel = new AddTaskViewModel();
    ko.applyBindings(tasksViewModel, $('#main')[0]);
    ko.applyBindings(addTaskViewModel, $('#add')[0]);

The new AddTaskViewModel is extremely simple. It has two observables, which connect to the two <input> tags in the dialog box. It also has one event handler that connects to the Add Task button.

When the button is clicked the event handler simply calls the add() method of the tasksViewModel, passing the title and description values for the new task. The function finally resets the values of the two fields, so that the next time the user wants to add a task the fields appear empty again.

The add() method of tasksViewModel invokes the ajax() function again, but this time it issues a POST request, which according to the REST standard practices corresponds to a request to add a new resource. The response from the request will be the added task, so when our done() callback is invoked we just push a new task into our tasks array. Due to the data binding that exists between the array and the ko.foreach in the HTML portion of the document as soon as we add an element to the array that element is rendered to the page.

The changes to edit an existing tasks are a bit more complex, but are largely similar.

A new dialog box is added to the document (we cannot use the same as the Add Task dialog because for editing we have the "done" checkbox that we don't have when adding a task).

We also have to add a new ViewModel:

    function EditTaskViewModel() {
        var self = this;
        self.title = ko.observable();
        self.description = ko.observable();
        self.done = ko.observable();

        self.setTask = function(task) {
            self.task = task;
            self.title(task.title());
            self.description(task.description());
            self.done(task.done());
            $('edit').modal('show');
        }
        self.editTask = function() {
            $('#edit').modal('hide');
            tasksViewModel.edit(self.task, {
                title: self.title(),
                description: self.description() ,
                done: self.done()
            });
        }
    }

And here are the new and updated methods in the TasksViewModel class to support task editing:

        self.beginEdit = function(task) {
            editTaskViewModel.setTask(task);
            $('#edit').modal('show');
        }
        self.edit = function(task, data) {
            self.ajax(task.uri(), 'PUT', data).done(function(res) {
                self.updateTask(task, res.task);
            });
        }
        self.updateTask = function(task, newTask) {
            var i = self.tasks.indexOf(task);
            self.tasks()[i].uri(newTask.uri);
            self.tasks()[i].title(newTask.title);
            self.tasks()[i].description(newTask.description);
            self.tasks()[i].done(newTask.done);
        }

The additional complication with the edit dialog box is that prior to showing it we have to fill out the form fields with the current data for the selected task. This is done in the setTask() method of the EditTaskViewModel class.

Once the dialog box is accepted the handler in the EditTaskViewModel class calls the edit() method of the TasksViewModel, which sends a PUT request into the server to update the task. Note how the URI for this request comes from the task itself, since each task has a unique URI. Finally, the callback for the ajax request calls a new helper functon updateTask() to refresh the observables associated with the task that was edited.

Another method that we can complete is the one that deletes a task. This one is easy, as it does not require any HTML changes to the document:

        self.remove = function(task) {
            self.ajax(task.uri(), 'DELETE').done(function() {
                self.tasks.remove(task);
            });
        }

And even though the "Mark Done" and "Mark In Progress" buttons appear to work, they aren't really working, all they are doing right now is change the model, but they do not communicate these changes to the server. Here are the updated versions that talk to the server:

        self.markInProgress = function(task) {
            self.ajax(task.uri(), 'PUT', { done: false }).done(function(res) {
                self.updateTask(task, res.task);
            });
        }
        self.markDone = function(task) {
            self.ajax(task.uri(), 'PUT', { done: true }).done(function(res) {
                self.updateTask(task, res.task);
            });
        }

Download the project at this stage: zip | github

The client application is nearing completion now. You can take a break and spend some time playing with the different options, since all of them are working now.

Authentication

And we now arrive to our final battle. Up to now the authentication credentials that we were sending to the REST server are hardcoded into the client application. We happen to know that these work, but in a real life situation we have to prompt the user to provide his own credentials.

Let's start by removing the hardcoded credentials:

        self.username = "";
        self.password = "";

We will also have to add a login dialog box, which I'm not going to show here since it is similar to the previous dialog boxes we created.

We need a ViewModel for our dialog box:

    function LoginViewModel() {
        var self = this;
        self.username = ko.observable();
        self.password = ko.observable();

        self.login = function() {
            $('#login').modal('hide');
            tasksViewModel.login(self.username(), self.password());
        }
    }

And finally we need to add a few support methods to our TasksViewModel class:

    function TasksViewModel() {

        // ...  no changes here

        self.beginLogin = function() {
            $('#login').modal('show');
        }
        self.login = function(username, password) {
            self.username = username;
            self.password = password;
            self.ajax(self.tasksURI, 'GET').done(function(data) {
                for (var i = 0; i < data.tasks.length; i++) {
                    self.tasks.push({
                        uri: ko.observable(data.tasks[i].uri),
                        title: ko.observable(data.tasks[i].title),
                        description: ko.observable(data.tasks[i].description),
                        done: ko.observable(data.tasks[i].done)
                    });
                }
            }).fail(function(jqXHR) {
                if (jqXHR.status == 403)
                    setTimeout(self.beginLogin, 500);
            });
        }

        self.beginLogin();
    }

Let's see how this works. At the bottom of TasksViewModel we had the code that issued the request to get the task list. We now replaced that with a call to beginLogin() which starts the login process by displaying the login dialog box.

When the user accepts the dialog box method login() will be called, with the entered credentials. Only now we are ready to talk to the server, so we issue the request for the task list after we update our login variables. If the request succeeds then we populate our tasks array as we did before.

If the request fails we now have a second callback attached to the ajax request promise. The fail callback in a promise executes if the asynchronous function returns an error. What we do in this case is check the error code from the ajax request object and if found to be 403 we just call beginLogin() again to ask for new credentials. Note we don't show the dialog immediately, instead we wait 0.5 sec with a timeout. This is just because the dialog box has animated events to appear and disappear, so we need to make sure the "show" animation does not collide with the "hide" animation for the previous dialog instance.

I just said that login errors return a 403 code. Those that are familiar with HTTP error codes will jump to correct me. Error 403 is the error code for the "Forbidden" error. The correct HTTP code for the "Not Authorized" error is 401. The problem with error code 401 is that browsers display their own login dialog box when they receive this error, even if the error came from an ajax request. We don't want the browser to show its login dialog since we have our own, so we trick the browser by having the server send error 403 instead of 401.

Download the completed project: zip | github

Security

If we were to deploy this application on a real web server for real users we have to take some security measures.

The REST server takes user credentials according to the HTTP Basic Authentication protocol, which sends usernames and passwords in clear text. Of course this is not acceptable, we should not risk leaking confidential information from our users to third parties.

The proper way to address this problem is by putting the server on secure HTTP, which ensures that communication between client and server is encrypted.

The recommended way to implement secure HTTP is with a proxy server. Our server remains the same, when it starts it listens, for example, on http://localhost:5000, which is only reachable to other processes in the same machine. Then another web server is installed and configured to listen on the secure HTTP port and do all the proper encryption procedures. This server is then configured to act as a proxy for our server, so to us nothing changes, we just receive requests from the proxy server, which in turn receives requests from the user over an encrypted channel.

There are other measures to take if we were to deploy this application on a real server, at the very least the Flask development web server should be replaced with a more robust server. I recommend that you see the deployment chapters of my Flask Mega-Tutorial to learn about this topic.

Final words

Phew! Can you believe we are done?

The application is now fully functional and exercises all the functions of our REST server. A nice enhancement that I will leave as an exercise for those interested would be to save the login credentials in a browser cookie, so that the user does not need to enter them every time. You get bonus points if you add a "Remember Me" checkbox to the login dialog.

Writing rich client side applications in Javascript can be fun. Javascript is an interesting language that at first may seem odd to those of us used to more traditional languages, but once you familiarize with it you find it can do many cool things.

I hope this article and example code along with the previous one serve as a good introduction to the use of REST APIs. If you have any questions or suggestions you are welcome to write below in the comments area.

Miguel

122 comments

  • #101 Santiago Ayran Huh Can said 2017-08-04T17:48:12Z

    Hello, I know that a few years have passed, but all this as I run it, I know that I have to start the python server with the command "python -m SimpleHTTPServer 5000" but it only shows me the page, but I do not Appear the tasks I insert that I am doing wrong :(

  • #102 Miguel Grinberg said 2017-08-04T22:46:25Z

    @Santiago: Have you read the previous article on the series? That explains how to run the Python server.

  • #103 mycognosist said 2017-09-01T08:01:32Z

    Thank you for the incredible tutorials Miguel.

    When editing a task, the PUT request is successful and the task is updated but the tasks view does not refresh. I receive a 'TypeError: newTask is undefined'. Is it necessary to define newTask outside of the self.updateTask method? I'd appreciate any guidance you can offer.

  • #104 Miguel Grinberg said 2017-09-01T19:47:25Z

    @mycognosist: you will need to debug this error. The newTask variable is an argument that should be passed by the caller. The error suggests it wasn't passed, or the value that was passed was undefined.

  • #105 Acácio Correia said 2017-09-05T10:20:41Z

    First of all, thank you for your tutorials, they are very well written and explained, they are perfect for beginners (like me).

    I just wanted to say that after completing your tutorial for the server https://blog.miguelgrinberg.com/post/designing-a-restful-api-with-python-and-flask I came here and I couldn't open http://localhost:5000/index.html, I always got the "Not found" error. I then downloaded your zip file and noticed a few differences that are not explained anywhere in any of these two tutorials: static_url_path = "" needs to be added in app = fl.Flask(name, static_url_path = "") and index.html needs to be placed at the static folder.

    Once again thank you.

  • #106 gberrido said 2017-10-02T21:24:40Z

    Does that client works with the task api slam advanced tutorial? Beside updating the URI line 128 to the aws generated api gateway URI, are there any other parts to tweak? I see OPTIONS http messages (login/pwd?) but no GET in the slam log

  • #107 Miguel Grinberg said 2017-10-03T05:39:54Z

    @gberrido: I did not intend for this client to work with that example from slam, but it will probably work. I would look more at the JavaScript console to see if there are any errors and adapt the client to match the example server.

  • #108 Abir said 2018-01-02T05:42:31Z

    How we can run the html and REST API server on same port, if i am getting correctly you mean we need to render this page using rest server itself.

  • #109 Miguel Grinberg said 2018-01-02T06:30:58Z

    @Abir: you have two options. Either you implement the web and api sides in the same web application, or if they are different applications, then put a reverse proxy such as nginx in front of the two apps.

  • #110 Giovanni Minelli said 2018-06-09T10:53:03Z

    Awesome repo, thanks for your post. To be fair... Post should be used to update the data and put to insert a new one. The first is neither idempotent nor secure by definition and the second isn't secure but is idempotent.

  • #111 Miguel Grinberg said 2018-06-09T14:52:54Z

    @Giovanni: you got your HTTP methods reversed. POST, which is not idempotent as you say, is used to create new things. PUT and PATCH, being idempotent are appropriate to update existing entities.

  • #112 Amber said 2018-10-29T16:31:45Z

    What are your thoughts on designing a multipage client application with a REST back end? 1. Is it safe to be storing username and password in the javascript? 2. How do you share those credentials if the user opens a 2nd page on your site?

  • #113 Miguel Grinberg said 2018-10-29T18:11:06Z

    @Amber: Using HTTPS is required for security reasons. Assuming all requests are sent over HTTPS, storing credentials in the client is relatively secure when the user is on a private computer, but there is some risk for users logging in on shared computers. You need to make sure when the user logs out the credentials are erased, and also that these credentials expire after some reasonable time. So it would not be a good idea to store the user's username and password, instead you should exchange these for a token that has an expiration and store the token. If you need to support multiple tabs/windows open on the same application you can store your token on the browser's local or session storage, and then all windows and tabs will have access. Alternatively you can require that all windows/tabs log in to the application separately and then the token can be kept just in the memory of the application.

  • #114 Preethi said 2019-06-28T10:31:55Z

    Hi Miguel, Thanks for this great tutorial! I was trying this out, and I see 405 error for PUT and DELETE requests, while for POST and GET, it works fine. I tried to google, but nothing seems to help. I have just taken your code as is, and trying. Is there some known issue?

  • #115 Miguel Grinberg said 2019-06-28T15:14:27Z

    @Preethi: The error indicates that the URL does not have a handler for PUT and DELETE. Check your source code, you probably have a typo or missing something.

  • #116 kevev said 2020-02-14T04:24:56Z

    Great code! I have set up an NGINX reverse proxy, but I am receiving this error:

    Cross-Origin Request Blocked: The Same Origin Policy disallows reading the remote resource at https://127.0.0.1:5000/todo/api/v1.0/tasks?_=1581654159679. (Reason: CORS request did not succeed).

    I have tried adding cors config to NGINX to allow, but still same error. Any tips would be appreciated.

  • #117 Miguel Grinberg said 2020-02-14T22:32:07Z

    @kevev: any chance you added CORS to nginx incorrectly? You can look at the headers in requests and responses to determine of CORS headers are correct or not. I cannot really do much from here.

  • #118 kevev said 2020-02-15T01:29:21Z

    I believe that I have the CORS issue figured out. NGINX had incorrect syntax. Now I am not able to log in. I have updated username & password inside index.html:

    self.username = "MyUserName"; self.password = "SecretPassword";

    Browser console shows:

    jquery-1.9.0.js:8475 GET https://myactualdomainname.com/todo/api/v1.0/tasks?_=1581729977255 403 (FORBIDDEN)

  • #119 Miguel Grinberg said 2020-02-15T07:54:56Z

    @kevev: You need to look at the requests that are being exchanged between the client and the server. Add some print statements in the server for example, to see what username and password were received. As I said before, I cannot debug this for you, keep chasing the request until you find where things are going the wrong way.

  • #120 Rolf said 2020-05-24T15:06:50Z

    The tutorial is 7 years old but still one of the best I found. Thanks.

  • #121 iuvbio said 2020-07-20T20:41:56Z

    Hi Miguel,

    thanks for this great tutorial.

    I was wondering if you either know a good tutorial for using DataTables (https://datatables.net/) with Flask or if you have thought about writing one? I could not find any tutorials on this, but quite a few questions on SO and the datatables website, so I figure it's quite a popular topic.

    Cheers, iuvbio

  • #122 Miguel Grinberg said 2020-07-20T22:33:03Z

    @iuvbio: Yes, DataTables is in my list of upcoming topics. I've used it with Flask with great results.

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