Tag: java

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Posting To Twitter

Many web applications need to connect to and integrate with Twitter. In Java, the best and most widely-used library is twitter4j. The following code snippet shows how to connect to Twitter and post a tweet.

Oauth_consumer_key, oauth_consumer_secret, oauth_access_token, and oauth_access_token_secret are the Twitter OAuth authentication keys. You can generate those keys by going to Twitter’s developer site and creating an application plus access tokens. The string tweet_text is the text to post to Twitter. If any problems occur while posting to Twitter, a TwitterException will be thrown.

ConfigurationBuilder config = new ConfigurationBuilder();
config.setDebugEnabled(true);
config.setOAuthConsumerKey(oauth_consumer_key);
config.setOAuthConsumerSecret(oauth_consumer_secret);
config.setOAuthAccessToken(oauth_access_token);
config.setOAuthAccessTokenSecret(oauth_access_token_secret);
Twitter twitter = (new TwitterFactory(config.build())).getInstance();
try {
    //Post to Twitter.
    twitter.updateStatus(tweet_text);
}
catch (TwitterException e) {
    //error posting to Twitter
}
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Simple Logging In Java

In most applications, it’s a good idea to use a robust logging framework such as java.util.logging.* or log4j. However, when you’re writing simpler App Engine applications there is an alternative: use System.out and System.err.

App Engine catches all output written to the standard output streams System.out/System.err and prints it into the application’s logs. So logging a message is as simple as writing one line of code:

System.out.println("This is an informational logging line.");

Use the System.err stream to log an error:

System.err.println("Exception: " + e.getMessage());

If you do decide to log informational messages, you also need to set the logging level to INFO. Open up the logging.properties file in the /war/WEB-INF/ directory:

Change the .level property to INFO:

.level = INFO

Now your App Engine application will record and display all logs sent to System.out and System.err.

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Receiving Mail In Java

Receiving email is a bit harder than sending it. First, we need to inform App Engine that this application is allowed to receive mail. In the /war/WEB-INF/ directory there is a file marked appengine-web.xml. Write the below line into that file:

<inbound-services> <service>mail</service> </inbound-services>

Now we need to map a servlet to handle all of the incoming email. Go into web.xml (in the same directory) and put in the following lines:

<servlet>
    <servlet-name>ReceiveMail</servlet-name>
    <servlet-class>com.example.ReceiveMailServlet</servlet-class>
</servlet>
<servlet-mapping>
    <servlet-name>ReceiveMail</servlet-name>
    <url-pattern>/_ah/mail/*</url-pattern>
</servlet-mapping>

This informs App Engine that there is a servlet called com.example.ReceiveMailServlet (modify the name to match your code), and it is responsible for handling all incoming email (it handles all requests directed to /_ah/mail/ which is where App Engine sends the mail).

In the servlet handling the incoming email, paste this doPost() function:

public void doPost(HttpServletRequest req, HttpServletResponse resp) throws IOException {   

try {
    Properties prop = new Properties();
    Session session = Session.getDefaultInstance(prop, null); 
    //May throw a MessagingException if incoming message is malformed.
    MimeMessage message = new MimeMessage(session, req.getInputStream());
}
catch (MessagingException e) {
    System.out.println("This message was malformed. Stopping.");
}

}//end doPost

From here, we can retrieve the from address and the subject with a few lines:

String from = message.getFrom()[0].toString();//Get the first From address listed.
String subject = message.getSubject();

The content of the email can be extracted using the getContent() function of MimeMessage.

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Transforming An Image Using The ImagesService

Here’s a short code example demonstrating how to transform images using the images service. This code example resizes an image to dimensions of 100×100, figures out the MIME type of the image, and prepares to write the image data into a write channel (good for writing to Cloud Storage or another storage service).

The image_content object represents a byte[] array containing image data. This code snippet then creates two objects: image_mime (the MIME type for the resized image) and buffer (a ByteBuffer containing the resized image’s data, ready for writing to a write channel).

// Create the image from the byte array
Image image = ImagesServiceFactory.makeImage(image_content);
// Resize the image to 100x100
Transform resize = ImagesServiceFactory.makeResize(100, 100);
ImagesService images = ImagesServiceFactory.getImagesService();
image = images.applyTransform(resize, image);
//Figure out the format of the image, and build a mime type.
Image.Format format = image.getFormat();
String image_mime = "image/" + format.toString().toLowerCase();
ByteBuffer buffer = ByteBuffer.wrap(image.getImageData());
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Configuring EdgeCache – A Cache For App Engine

App Engine has a distributed caching system called EdgeCache which can be configured to quickly serve static or rarely-changed assets. To tell EdgeCache to cache your files, you need to set the following two headers:

Cache-Control: public, max-age=[time in seconds to cache]
Pragma: Public

The max-age argument takes the number of seconds to cache the given file. It must be set to at least 61 seconds.

Here’s example Java code to implement these headers. The max age is set to 86,400 seconds (1 day). The resp object represents a HttpServletResponse class:

resp.setHeader("Cache-Control", "public, max-age=86400");
resp.setHeader("Pragma", "Public");

Here’s the same code implemented in Go ( w represents http.ResponseWriter ):

w.Header().Set("Cache-Control", "public, max-age=86400")
w.Header().Set("Pragma", "Public")
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Uploading And Serving Files With The Blobstore In Java

Here’s a code example to let users upload a file to the Blobstore and then download it back again. This code uses a servlet and a JSP page: the JSP page shows a form and the servlet accepts the upload, then immediately sends the uploaded file back to the user.

Here’s the doPost and doGet code for the servlet (in this example, we aliased the servlet to /blobstoreexample):

public void doGet(HttpServletRequest req, HttpServletResponse resp)
        throws IOException {
    String blob_key_string = req.getParameter("blob_key");
    System.out.println("BLOBKEY: " + blob_key_string);
    if (blob_key_string == null) {
        resp.sendRedirect("/example.jsp");
        System.out.println("No blobkey given, redirecting to upload page.");
    }
    else {
        BlobKey blob_key = new BlobKey(blob_key_string);
        BlobstoreServiceFactory.getBlobstoreService().serve(blob_key, resp);
        System.out.println("Blobkey given, sending file.");
    }
}//end doGet


public void doPost(HttpServletRequest req, HttpServletResponse resp)
        throws IOException {
    try {
        Map<String, List<BlobKey>> files_sent = BlobstoreServiceFactory.getBlobstoreService().getUploads(req);
        BlobKey file_uploaded_key = files_sent.get("file").get(0);
        resp.sendRedirect("/blobstoreexample?blob_key=" + file_uploaded_key.getKeyString());
        System.out.println("Document successfully POSTED, redirect to doGET");
    }
    catch (Exception e) {
        resp.sendRedirect("/example.jsp");
        System.out.println("Document failed to POST, redirecting back to upload.");
    }
}//end doPost

Here is the code for example.jsp (remember to import the Blobstore library):

<form enctype="multipart/form-data" method="post" action="<%= BlobstoreServiceFactory.getBlobstoreService().createUploadUrl("/blobstoreexample") %>">
<input type="file" name="file" size="30" />
<input type="submit" /></form>

You can add additional form elements to the form if needed; the servlet will be able to access them.

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An Introduction To The Datastore In Java

Storing Data

Essentially, the datastore is a highly replicated, highly reliable place to store data. However, it is not a SQL database that you may have experience with. Instead, the datastore stores Entities, which are grouped into categories called kinds. Each entity has a unique ID or name – Google App Engine can set a unique ID, or you can set a name in your application code.

To create an entity with a mail kind, we use this line (App Engine allocates a unique ID for us automatically):

Entity entity = new Entity("mail");

Entities can have properties, which are name/valid pairs. To add a property, do this:

entity.setProperty("subject", subject); //Key, then value.

Here’s a complete code example to create an entity, set properties, and store it:

Entity entity = new Entity("mail");//Creates the entity with a kind of "mail", GAE automatically allocates an ID
entity.setUnindexedProperty("from", from);
entity.setProperty("subject", subject);
entity.setProperty("add_date", new Date());//Records the date this entity was added.
DatastoreServiceFactory.getDatastoreService().put(entity);

Note the use of setUnindexedProperty. This method informs App Engine that we won’t be searching on this property, so don’t build a search index for it. This is useful to reduce the cost of storing entities.

Datastore Query

Querying the datastore is simple as well.

Here’s an example piece of code which queries for all Entities with the kind of mail, and requiring that all properties returned have the property add_date greater than the value stored in date_var :

Query q = new Query("mail");
Query.Filter query_filter = new Query.FilterPredicate("add_date", Query.FilterOperator.GREATER_THAN_OR_EQUAL, date_var);
q.setFilter(query_filter);
PreparedQuery pq = DatastoreServiceFactory.getDatastoreService().prepare(q);
List<Entity> results = pq.asList(FetchOptions.Builder.withDefaults());

From here, we can iterate through the List, retrieve each Entity, and conduct operations on each Entity:

for (int i = 0; i < results.size(); i++) {
    Entity entity = results.get(i);
    //Do anything needed with the information from each entity.
}

Deleting

And finally, here is how to delete an entity (entity is the Entity object being deleted).

Key key = entity.getKey();
DatastoreServiceFactory.getAsyncDatastoreService().delete(key);
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Deadline exceeded while waiting for HTTP response from URL

Occasionally applications – even the best behaved applications – will get the error “Deadline exceeded while waiting for HTTP response from URL.”

Generally, this means that the web service you’re trying to connect to is down or slow. If the service is down, then you can continuously retry your URL fetches by queuing them up within a task.

If the web service is slow, then you have an alternative: setting the read and connect timeouts to a longer timeout point. By default, App Engine expects that an URL fetch will take – at most – 5 seconds. That’s 5 seconds to connect to the web service (resolve DNS and so forth), send the request data, allow the web service to process the request, and finally retrieve any response sent back. For the vast majority of applications, that’s more than enough. The popular web APIs such as Twitter, Facebook, Google, etc all process and return requests in much less than 5 seconds.

However, a slow or malfunctioning web service may take longer than 5 seconds to respond to a query. If your app is downloading a large amount of data (more than a few MB) you may also go past this limit. To tell App Engine to wait for a longer period of time, use this code (url_connection represents a HttpURLConnection object):

url_connection.setReadTimeout(milliseconds_to_wait_for_read);
url_connection.setConnectTimeout(milliseconds_to_wait_for_connect);

Remember that the time to wait is denoted in milliseconds, so do the appropriate conversions (for example, if you wanted the connection to wait 30 seconds, you would put 30000 milliseconds).

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Writing Files To Google Cloud Storage

Writing a file to Google Cloud Storage is easy in Java. All you need is the Google Cloud Storage library.

The following code writes a file into GCS. Bucket represents the name of the Cloud Storage bucket, object represents the filename, mime represents the MIME type, and data represents a byte array with the contents of the file you’re writing.

    String bucket = "your_bucket_name";
    String object = "file_name_here_including_extension";

    GcsFilename gcs_filename = new GcsFilename(bucket, object);
    //File Options
    GcsFileOptions.Builder options_builder = new GcsFileOptions.Builder();
    options_builder = options_builder.mimeType(mime);
    GcsFileOptions options = options_builder.build();       
    GcsOutputChannel output = GcsServiceFactory.createGcsService().createOrReplace(gcs_filename, options);
    output.write(ByteBuffer.wrap(data));
    output.close();

Remember to set bucket permissions in Google Cloud Storage so your app can access the files.

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Configuring A .Properties File In App Engine

Configuration settings for an application should never be hardcoded; instead, they should be configured through a separate properties file.

A properties file looks like this:

#This is a comment
key=value

The # symbol denotes a comment, while keys are separated from values with an = sign.

You can read this file into a Java application by using the following code. It reads in a properties file named app.properties located within the /WEB-INF/ folder (putting your properties files in /WEB-INF/ also keeps them private):

InputStream app_properties_stream = this.getServletContext().getResourceAsStream("/WEB-INF/app.properties");
Properties app_properties = new Properties();
//This will throw a NullPointerException if the properties file cannot be found, 
//and an IOException if an error occurs while reading.
app_properties.load(app_properties_stream);

From here you can retrieve values by calling:

String value = app_properties.getProperty("key");