Six months ago, when we launched our Web API, we provided twelve endpoints through which developers could retrieve Spotify catalog data. Today the API has 40 distinct endpoints and more are being added all the time. In this post, I’d like to take you on a brief tour of the API and show you some of the programs that have already been developed with it.
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What is the Spotify Web API?
Head over to Spotify for Developers for more reading about the Android SDK. Spotify App Remote. This library contains classes for music playback control and metadata access. The built-in authentication in App Remote requests for app-control-scope only, and is the only scope needed to use App Remote. No token exchange. The Visitor Log will let you easily visualize the full set of actions for each visitor on your website. The Visitor Log shows all custom variables set to the visit, Converted goals, all Pageviews/events during the visit. It can even be used for troubleshooting a particular user of your app or software.
Our API is what is commonly known as a RESTful API. Basically it is an interface that programs can use to retrieve and manage Spotify data over the internet. The Web API uses the same HTTP protocol that’s used by every internet browser. In fact, you can access the API directly from your own browser. Try clicking this link and see what happens:
You should get back a page of data, in JSON format, which looks something like this:
(What you actually see depends a little on your browser settings and how it is set to handle JSON content. If you’re using Chrome, you can use the JSONView plugin to see a nicely formatted view of the content.)
What we have just done through our browser is to ask the Web API for information about an album — specifically the album with the Spotify ID “4aawyAB9vmqN3uQ7FjRGTy”. What we have got back is basic information about that album, including:
- Its name: “Global Warming”
- Its artist’s name: “Pitbull”
- A list of its tracks (with links to more information about them)
- Links to cover art for the album (in various sizes)
- Links that play the album on Spotify, and
- Information about the album like its available markets, its copyright holder, Universal Product Code, popularity on Spotify, release date, and genre.
You can make similar calls through the Web API to retrieve information from the Spotify catalog about artists, tracks and playlists. There is a huge amount of data available, and the best part is that it’s free to access.
A Simple Search Application
Retrieving data in your browser like this is not particularly useful unless you just want to check that the API is working. The API is really designed to be accessed programmatically and the fact that it returns data in JSON (JavaScript Object Notation) format is very helpful in this regard. JSON is a common, language-independent format and code for parsing JSON data is readily available for a large variety of programming languages.
Let’s take a look at a simple program that uses the Web API. Here is a program that uses the Web API’s search endpoint to retrieve cover art:
This program uses HTML, CSS and JavaScript to do its work. Enter the name of an artist and see what happens.
Within the JavaScript, a call is made to the search endpoint passing the artist’s name that you entered and asking for any matching albums. When the JSON result comes back it’s parsed to extract the links to the albums. Then a second set of calls is made to get each album’s main cover art image.
The search endpoint that this program uses is one of the more popular endpoints in our Web API. Through that endpoint you can get information about more than 2 million artists, 4 million albums, 30 million tracks, and 1.5 billion playlists across all of Spotify’s 50-plus markets.
An Artist Explorer
Just by retrieving data through the Web API and presenting it to the user you can create interesting programs. Here’s an example that combines artist images with data about artist relationships, popularity, and top tracks to create a fascinating tool that encourages users to discover new artists and new music:
You can hover over an artist’s picture to hear 30 second clips of their music; click a picture to expand the tree; and enter an artist’s name or genre to “seed” a new tree. The artists are ranked by popularity, so clicking an artist towards the bottom of a column leads you ever on into hipster territory. In the right sidebar you can find links to the top tracks by the currently selected artist: hovering over a track lets you browse through the artists popular music, and clicking on a track opens the song in a Spotify player.
This application uses several popular Web API endpoints and makes use of several popular, useful, freely available JavaScript libraries: d3, Google Gauge Charts, geoplugin, and freegeoip. Spotify music free download.
The code for Artist Explorer is open-source and is available on GitHub. You can view the full source code to see how the program has been implemented and you can fork the existing project if you want to contribute to it. And, of course, you can copy parts of the code to use in your own projects.
Authentication & Authorization
It’s easy to retrieve data through the Web API but what about retrieving personal data about a user and managing that data? In this case we need to be a bit more careful. For one thing we need to securely identify the user and for another we need to get the user’s permission to access and manipulate their data. In this case we must use OAuth (an open standard for authorization) to get the job done.
Unlike our previous search example which we ran straight from our browser (and which, behind the scenes, used an HTTP GET request to do its business), a typical OAuth-based call to the Web API is a little more complex. We can show how such a call looks by showing it as a cURL command (cURL is a popular command-line tool for transferring data to and from a server):
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In this example we using the Web API’s Create a playlist endpoint to create for user called “chris” a new public playlist with the name “NewPlaylist”. The name of the user is included in the URL, while the name of the playlist and its public/private status is specified in the body of the POST request.
Perhaps the most interesting thing here is the Bearer token (also called an “access token”) that we are passing in the header of the request. (That’s the string “QB0zg…eF9U”. It’s actually a long string of characters that encode information about the user and what access permissions the user has granted.) It’s necessary to pass a valid token in a request to this particular endpoint otherwise the request will fail.
So where did that access token come from?
Provisioning
To get an access token that a program can pass in calls to the Web API, the developer first needs to register the program at the Spotify Developer website. When the program has been registered, a Client ID and a Client Secret key will be generated and displayed on the application details page:
Those are two things that the developer will need to use in the code of their program. When the program is running, the ID and secret will be passed in calls to the Spotify Accounts service. It is the Spotify Accounts service that actually handles the authentication of the user and seeks the user’s permission to access data.
The Authorization Code Flow
Exactly how the program interacts with the Spotify Accounts service depends on which OAuth flow is being followed. There are three different flows available to developers, each designed to meet different needs. All three flows are all fully documented in our Web API Authorization Guide. Here we describe the most comprehensive flow: the Authorization Code flow.
This flow starts when the developer’s program makes a call to the Spotify Accounts service. Along with the call, the program passes along a list of “scopes“. The scopes define both what user data that the program wants to access and what it wants to do with that data. In response, the Spotify Accounts service displays to the user a list of the data that the program wants access to, based on the scopes. (The Spotify Accounts service also prompts the user to log in to Spotify, if necessary.)
When the user clicks “Okay”, the Spotify Accounts service returns to the developer’s program via a previously supplied callback address, passing a temporary code. The program can now use that code, along with its Client ID and Client secret, in a second call to the Spotify Accounts service to get an access token.
One extra advantage of using this flow — the Authorization Code flow — is that from this second call to the Accounts service, the program also gets back a “refresh token” which can be used later to refresh the access token when it expires. That means that it is possible to create long-running programs that only require the user to log in once the first time they are used.
(There is another hidden benefit of supplying access tokens in calls to the Web API, even to endpoints that do not require them: calls with access tokens get higher rate limits. If your program is likely to make many calls in quick succession, it is a good idea to supply a valid access token to make sure that all those calls get through.)
A Playlist Miner
When a program can supply a valid access token it has more power to do some really interesting things through the Web API. For one thing, it can now retrieve and manage a user’s playlists, and it can create new ones. Let’s look at a web application that does just that:
When you open this application you will see that it first asks you to “Log in with Spotify”. You can log in with either a free or a premium Spotify account, it does not matter which. When the main page opens, enter a keyword string, like “workout” in the box, then click “Find Playlists”:
Playlist Miner uses the Web API’s Search for a playlist endpoint to retrieve playlists from Spotify that include the entered keyword in their title. Up to 1000 playlists are retrieved. Next Playlist Miner retrieves the tracks for those playlists using the Get a playlist’s tracks endpoint and starts counting how often each track occurs, ranking them by frequency.
(As an aside, whenever I have demonstrated this application it is at this point that people start trying to “shout” their favorite artists and songs to the top of the list!)
When Playlist Miner has completed its analysis, it offers you the option to save the 100-track playlist it has made to Spotify. If you choose that option, the application uses the Create a playlist and the Add tracks to a playlist endpoints (both of which require an OAuth access token) to add the playlist to your Spotify account.
Playlist Miner is not just a quick and easy way to make an ad hoc playlist but also demonstrates how, with a little thought, calls to the Web API endpoint can be combined to create a remarkably effective application. M ood agent spotify app. As with Artist Explorer, the code for Playlist Miner is available from GitHub under an open source license.
Getting Started with the Web API
The Spotify Developer Website provides a lot of useful information about the Web API, including comprehensive user guides, tutorials, and reference manuals. If you are one of those people who like to begin at the top and work down, then start the Web API home page. If, on the other hand you like to dive straight into code, skip to our Code Examples page where you will find links to many code examples and wrappers for a variety of languages.
There are several interesting features at the website that will help you to develop your own programs. For example, there is an Application Showcase where you can find a gallery of programs that use the Web API, including both Artist Explorer and Playlist Miner. You can submit your own apps for inclusion.
In the Showcase, applications are classified by the APIs and SDKs they use. It’s a place to see what others are creating and to get inspiration. Many of the featured programs have open source licenses and you can find links to the source code in the descriptions. Looking through the source gives you a close up view of how to code for the Web API and, because many applications have open source licenses, you are free to copy the code and use it as the basis of your own endeavors. or to fork and contribute to an existing project.
Also at the site you will find a fully-featured Web API Console where you can interactively test all the Web API endpoints.
The console has full support for all parameters, field filters, and request body data that’s needed in each call, shows default values, and you can ask it to provide sample data if you just want to test a random call. The console fully supports OAuth tokens and the scopes that you need to specify when requesting user data and, after you have tested your call, you get to see the full JSON responses, with HTTP headers and status codes, along with the matching cURL syntax. You can bookmark any particular call.
We send a regular newsletter to our developer community, highlighting new additions and updates to the Web API. It’s worth signing up to if you would like to keep abreast of what’s new. You will find a sign-up form on the Developer Website home page.
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Building Applications with the Web API
The Developer website also has full documentation for all the tools that Spotify makes freely available to independent developers. As well as the Web API, they include two very popular HTML widgets, the Play Button and the Follow Button, and our two SDKs: the Android SDK and the iOS SDK. The widgets are designed to help web developers and bloggers quickly add Spotify functionality to the site, while the SDKs make it possible for developers to create streaming applications for the popular mobile platforms. Let’s take a look at some ways these tools can be combined:
We haven’t mentioned the Spotify Echo Nest API yet. It’s another API that’s available from Spotify, with many, many endpoints that return a broad set of information about both artists and songs. It works well with the Web API, and indeed many of the applications in our Developer Showcase use both APIs together.
Our Terms of Use
When you use our tools you need to pay close attention to some legally binding terms and conditions:
- Developer Terms of Use (covers the Web API and the SDKs)
- Widgets Terms of Use (covers the Play and Follow buttons)
These documents are worth reading carefully if you are planning to create a program and make it available to others. We understand that these two documents can seem a little overwhelming but please understand that in many cases Spotify licenses its content from other rights holders and we are bound by the conditions in those licenses.
We have a flowchart at our developer website which provides an informal overview of the things we permit. The flowchart will help you understand, for example, under what conditions you can build a commercial application that you can sell, or sell advertising or sponsorship around.
Behind the scenes we are working hard to develop endpoints that open up even more Spotify content to the world and to ensuring that the API remains fast and capable of handling ever-increasing volumes of requests. So far the service has proven itself to be both stable and reliable: in-house we already use the Web API behind key features in several of our products, and many of our commercial partners are already using the Web API in their own development. Independent developers are also starting to discover the power of the API to enrich their applications with music and music metadata.
Tags: JSON, REST API, Spotify Accounts, Web API, web services
In the world of software development, logging often takes a backseat to unit testing and documentation. But logging is a powerful tool for debugging in production, and it provides vital data on the real-world use of your application. When things stop working, it’s the data in the logs that both the dev and operations teams use to troubleshoot the issue and quickly fix the problem.
Clearly, logs are important. Unfortunately, not all logs are created equal. You need to follow best practices when creating them so that they contain the right information when you need it. In this article, we will share seven best practices to take your C# logging to the next level.
1. Don’t Reinvent the Wheel
While it’s possible to write your own logging library from scratch, most developers benefit from using a battle-tested option. Fortunately, Microsoft bundles a decent native library called TraceSource with the .NET SDK. To use TraceSource, you need to enable this feature in your configuration file, which is named application.config and located in the same folder as your application executable.
You can enable TraceSource by adding the code below to your application.config file:
![Spotify Spotify](/uploads/1/3/4/0/134044233/151302797.png)
Once TraceSource is enabled, use this tool to write messages to the console like this:
2. Write Logs to Files, Not the Console
Logging to the console is useful, but ephemeral. What if you need to run a series of debug tests and compare the results, or maintain an event log? Writing log messages to different locations allows you to route each message to the most appropriate place(s).
TraceSource easily meets these needs. This logging library writes its messages to a listener object which then sends those messages to a predetermined location, such as the console, the Windows Event Log, or a file.
To add a listener that writes to a file, add this code to your configuration:
This snippet adds a listener object called myListener and writes your messages to a log file titled TextWriterOutput.log. Then you can use the Trace class to write text to the file:
It’s also possible to dynamically add listeners at run time. This method is perfect for avoiding unnecessary overhead by only enabling logging when specific code paths are hit, such as the first time an error condition occurs.
The following code example shows how to dynamically add a new listener to the Trace.Listeners collection instead of using the static configuration file:
The .NET framework provides a whole host of listener classes for sending log messages to various destinations in a range of formats. You can check out the TraceListener Class documentation for more details.
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3. Use A Third-Party Logging Library
The TraceSource library provided with the .NET SDK is useful in lots of situations, but ultimately, it’s a library focused on tracing and debugging, not logging. Which means that TraceSource is missing the kinds of high-level APIs you’d expect in a standard logging framework.
Libraries such as such as Log4Net, Nlog, and serilog can handle the heavy lifting involved with the advanced features of System.Diagnostic.Tracesource so you don’t have to. Which library you choose will depend on your unique needs, though for the most part they are all similar in functionality. For our examples, we’ll use log4net.
Just as with the TraceSource library, you need to configure Log4Net in your app’s configuration file. Here’s a sample configuration that creates a logger that writes to a file and rolls it—moves the current file and creates a new empty one—whenever the file reaches 1MB in size.
The log4net configuration documentation provides more details on each configuration element and its attributes.
With the configuration file written, you can now write messages to myLoggerFile.log using the following code: Spotify account sign in.
https://finalyellow.weebly.com/blog/download-spotify-premium-apk-mod. Thanks to the layout element in the configuration file, the log messages contain far more context is possible with TraceSource.
This log message provides us with a timestamp, the thread, the logging level, the class that wrote the message, and the log message itself. While not bad, it would be better if we could filter messages so that we only see the ones we’re interested in.
4. Make Use of Logging Levels
One of the most useful features of a logging library like log4net is the ability to ignore messages that are unimportant for a specific scenario. For example, when debugging your application in a pre-production environment you probably want to see all the log messages of DEBUG priority and above. Conversely, you definitely don’t want to see those messages when the application is running in production because they can obscure far more important messages.
log4net offers the following log levels, in increasing order of priority: ALL, DEBUG, INFO, WARN, ERROR, FATAL, OFF. The ALL level logs everything and the OFF level logs nothing. You can assign these log levels to each logger in your configuration file. Any message sent at a lower priority than the configured level will be ignored.
The advantage here is that you can configure the logging levels directly in your configuration file, and you don’t need to modify your code to change the types of log messages you care about; customizing your logs for production simply requires a separate config file.
To assign an output destination for your messages based on the logging level, create multiple appenders in your config file. For example, this configuration creates two loggers: one that sends all messages at or above INFO to info.log and a second logger that sends messages at or above ERROR to error.log.
Each file is written by a separate logger, so you need to use both inside of your code:
While using more than one logger for small code bases is manageable, things quickly get out of hand as application size grows and as the number of loggers increase. A far more maintainable solution is to add filters.
5. Control Log Messages With Filters
The log4net package provides a number of filters that can finely control which messages are logged by which appenders. Here are a few examples of existing filters:
- log4net.Filter.DenyAllFilter – deny all messages
- log4net.Filter.StringMatchFilter – match messages containing a string
- log4net.Filter.LevelRangeFilter – match messages within a range of log levels
It’s not hard to think of uses for each of these options, and log4net.Filter.StringMatchFilter in particular is useful for sending log messages from specific application modules to a dedicated destination.
But it’s the last filter in the list that we’ll use to improve the config file from the previous section. By filtering messages based on their log level, one logger can send messages to multiple destinations.
The following example configuration sends messages at or above INFO to the info.log file but only messages at ERROR and FATAL to error.log.
Now all messages can be written to the root logger, which will in turn forward those messages to the appenders, and the appenders will either ignore those messages or write them to a file based on the message’s log level.
6. Log Contextual and Diagnostic Data
Using the standard contextual items available within the app, such as the timestamp, provides much-needed context to our log message. But what if you need specific data from a class or method? What if you need to know the parameters of a request for your web app? There’s a whole host of details that could be useful, from user location to HTTPRequest parameters.
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With frameworks such as log4net, there’s no need to place the burden on developers to add all of those details to each log message—log4net can add them automatically. That’s because log4net provides a class, LogicalThreadContext, which lets you store event-specific data and print it in your log files. To use this, update the conversionPattern element in your configuration file to include the “%property{data}” pattern.
For example, the following code stores a user ID in the “user” property which you can print in your log files by adding “%property{user}” to your conversionPattern.
7. Use Structured Logging
Using the best practices covered so far, it’s now possible to write log messages filled with rich, contextual data. The next and final step is to use structured logging. Logs containing structured data are easily filtered by log management tools such as SolarWinds®Papertrail™ and SolarWinds Loggly®, which makes it easier to search through your log data when hunting for clues to help diagnose application issues.
In particular, log4net offers a JSON package, log4net.Ext.Json, which lets you log any object as JSON by serializing that object. To write JSON to your logs, add log4net.Ext.Json as a serialized layout to your appender.
As a result, writing the following DEBUG message:
Now displays this very parseable log message:
Conclusion
Logging is a powerful tool for both development and production debugging. To ensure your application provides the level of logging necessary for your development and operations teams to track down and fix bugs quickly, follow these steps:
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- Instead of reinventing the wheel, use an existing logging framework such as TraceSource or log4net.
- Use context-rich logging so that you’ll have all the information you might need when troubleshooting.
- Make your logs easily parseable by other tools, by writing structured logs.
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