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BoltsFramework/Bolts-Android: Bolts is a collection of low-level libraries desig ...

原作者: [db:作者] 来自: 网络 收藏 邀请

开源软件名称（OpenSource Name）：

BoltsFramework/Bolts-Android

开源软件地址(OpenSource Url)：

https://github.com/BoltsFramework/Bolts-Android

开源编程语言(OpenSource Language)：

Java 99.6%

开源软件介绍(OpenSource Introduction)：

Bolts

Build Status Coverage Status Maven Central Maven Central License

Bolts is a collection of low-level libraries designed to make developing mobile apps easier. Bolts was designed by Parse and Facebook for our own internal use, and we have decided to open source these libraries to make them available to others. Using these libraries does not require using any Parse services. Nor do they require having a Parse or Facebook developer account.

Bolts includes:

  • "Tasks", which make organization of complex asynchronous code more manageable. A task is kind of like a JavaScript Promise, but available for iOS and Android.
  • An implementation of the App Links protocol, helping you link to content in other apps and handle incoming deep-links.

For more information, see the Bolts Android API Reference.

Download

Download the latest JAR or define in Gradle:

dependencies {
  compile 'com.parse.bolts:bolts-tasks:1.4.0'
  compile 'com.parse.bolts:bolts-applinks:1.4.0'
}

Snapshots of the development version are available in Sonatype's snapshots repository.

Tasks

To build a truly responsive Android application, you must keep long-running operations off of the UI thread, and be careful to avoid blocking anything the UI thread might be waiting on. This means you will need to execute various operations in the background. To make this easier, we've added a class called Task. A Task represents an asynchronous operation. Typically, a Task is returned from an asynchronous function and gives the ability to continue processing the result of the task. When a Task is returned from a function, it's already begun doing its job. A Task is not tied to a particular threading model: it represents the work being done, not where it is executing. Tasks have many advantages over other methods of asynchronous programming, such as callbacks and AsyncTask.

  • They consume fewer system resources, since they don't occupy a thread while waiting on other Tasks.
  • Performing several Tasks in a row will not create nested "pyramid" code as you would get when using only callbacks.
  • Tasks are fully composable, allowing you to perform branching, parallelism, and complex error handling, without the spaghetti code of having many named callbacks.
  • You can arrange task-based code in the order that it executes, rather than having to split your logic across scattered callback functions.

For the examples in this doc, assume there are async versions of some common Parse methods, called saveAsync and findAsync which return a Task. In a later section, we'll show how to define these functions yourself.

The continueWith Method

Every Task has a method named continueWith which takes a Continuation. A continuation is an interface that you implement which has one method, named then. The then method is called when the Task is complete. You can then inspect the Task to check if it was successful and to get its result.

saveAsync(obj).continueWith(new Continuation<ParseObject, Void>() {
  public Void then(Task<ParseObject> task) throws Exception {
    if (task.isCancelled()) {
      // the save was cancelled.
    } else if (task.isFaulted()) {
      // the save failed.
      Exception error = task.getError();
    } else {
      // the object was saved successfully.
      ParseObject object = task.getResult();
    }
    return null;
  }
});

Tasks are strongly-typed using Java Generics, so getting the syntax right can be a little tricky at first. Let's look closer at the types involved with an example.

/**
 Gets a String asynchronously.
 */
public Task<String> getStringAsync() {
  // Let's suppose getIntAsync() returns a Task<Integer>.
  return getIntAsync().continueWith(
    // This Continuation is a function which takes an Integer as input,
    // and provides a String as output. It must take an Integer because
    // that's what was returned from the previous Task.
    new Continuation<Integer, String>() {
      // The Task getIntAsync() returned is passed to "then" for convenience.
      public String then(Task<Integer> task) throws Exception {
        Integer number = task.getResult();
        return String.format("%d", Locale.US, number);
      }
    }
  );
}

In many cases, you only want to do more work if the previous Task was successful, and propagate any errors or cancellations to be dealt with later. To do this, use the onSuccess method instead of continueWith.

saveAsync(obj).onSuccess(new Continuation<ParseObject, Void>() {
  public Void then(Task<ParseObject> task) throws Exception {
    // the object was saved successfully.
    return null;
  }
});

Chaining Tasks Together

Tasks are a little bit magical, in that they let you chain them without nesting. If you use continueWithTask instead of continueWith, then you can return a new task. The Task returned by continueWithTask will not be considered complete until the new Task returned from within continueWithTask is. This lets you perform multiple actions without incurring the pyramid code you would get with callbacks. Likewise, onSuccessTask is a version of onSuccess that returns a new task. So, use continueWith/onSuccess to do more synchronous work, or continueWithTask/onSuccessTask to do more asynchronous work.

final ParseQuery<ParseObject> query = ParseQuery.getQuery("Student");
query.orderByDescending("gpa");
findAsync(query).onSuccessTask(new Continuation<List<ParseObject>, Task<ParseObject>>() {
  public Task<ParseObject> then(Task<List<ParseObject>> task) throws Exception {
    List<ParseObject> students = task.getResult();
    students.get(0).put("valedictorian", true);
    return saveAsync(students.get(0));
  }
}).onSuccessTask(new Continuation<ParseObject, Task<List<ParseObject>>>() {
  public Task<List<ParseObject>> then(Task<ParseObject> task) throws Exception {
    ParseObject valedictorian = task.getResult();
    return findAsync(query);
  }
}).onSuccessTask(new Continuation<List<ParseObject>, Task<ParseObject>>() {
  public Task<ParseObject> then(Task<List<ParseObject>> task) throws Exception {
    List<ParseObject> students = task.getResult();
    students.get(1).put("salutatorian", true);
    return saveAsync(students.get(1));
  }
}).onSuccess(new Continuation<ParseObject, Void>() {
  public Void then(Task<ParseObject> task) throws Exception {
    // Everything is done!
    return null;
  }
});

Error Handling

By carefully choosing whether to call continueWith or onSuccess, you can control how errors are propagated in your application. Using continueWith lets you handle errors by transforming them or dealing with them. You can think of failed Tasks kind of like throwing an exception. In fact, if you throw an exception inside a continuation, the resulting Task will be faulted with that exception.

final ParseQuery<ParseObject> query = ParseQuery.getQuery("Student");
query.orderByDescending("gpa");
findAsync(query).onSuccessTask(new Continuation<List<ParseObject>, Task<ParseObject>>() {
  public Task<ParseObject> then(Task<List<ParseObject>> task) throws Exception {
    List<ParseObject> students = task.getResult();
    students.get(0).put("valedictorian", true);
    // Force this callback to fail.
    throw new RuntimeException("There was an error.");
  }
}).onSuccessTask(new Continuation<ParseObject, Task<List<ParseObject>>>() {
  public Task<List<ParseObject>> then(Task<ParseObject> task) throws Exception {
    // Now this continuation will be skipped.
    ParseObject valedictorian = task.getResult();
    return findAsync(query);
  }
}).continueWithTask(new Continuation<List<ParseObject>, Task<ParseObject>>() {
  public Task<ParseObject> then(Task<List<ParseObject>> task) throws Exception {
    if (task.isFaulted()) {
      // This error handler WILL be called.
      // The exception will be "There was an error."
      // Let's handle the error by returning a new value.
      // The task will be completed with null as its value.
      return null;
    }

    // This will also be skipped.
    List<ParseObject> students = task.getResult();
    students.get(1).put("salutatorian", true);
    return saveAsync(students.get(1));
  }
}).onSuccess(new Continuation<ParseObject, Void>() {
  public Void then(Task<ParseObject> task) throws Exception {
    // Everything is done! This gets called.
    // The task's result is null.
    return null;
  }
});

It's often convenient to have a long chain of success callbacks with only one error handler at the end.

Creating Tasks

When you're getting started, you can just use the Tasks returned from methods like findAsync or saveAsync. However, for more advanced scenarios, you may want to make your own Tasks. To do that, you create a TaskCompletionSource. This object will let you create a new Task and control whether it gets marked as completed or cancelled. After you create a Task, you'll need to call setResult, setError, or setCancelled to trigger its continuations.

public Task<String> succeedAsync() {
  TaskCompletionSource<String> successful = new TaskCompletionSource<>();
  successful.setResult("The good result.");
  return successful.getTask();
}

public Task<String> failAsync() {
  TaskCompletionSource<String> failed = new TaskCompletionSource<>();
  failed.setError(new RuntimeException("An error message."));
  return failed.getTask();
}

If you know the result of a Task at the time it is created, there are some convenience methods you can use.

Task<String> successful = Task.forResult("The good result.");

Task<String> failed = Task.forError(new RuntimeException("An error message."));

Creating Async Methods

With these tools, it's easy to make your own asynchronous functions that return Tasks. For example, you can define fetchAsync easily.

public Task<ParseObject> fetchAsync(ParseObject obj) {
  final TaskCompletionSource<ParseObject> tcs = new TaskCompletionSource<>();
  obj.fetchInBackground(new GetCallback() {
    public void done(ParseObject object, ParseException e) {
     if (e == null) {
       tcs.setResult(object);
     } else {
       tcs.setError(e);
     }
   }
  });
  return tcs.getTask();
}

It's similarly easy to create saveAsync, findAsync or deleteAsync. We've also provided some convenience functions to help you create Tasks from straight blocks of code. callInBackground runs a Task on our background thread pool, while call tries to execute its block immediately.

Task.callInBackground(new Callable<Void>() {
  public Void call() {
    // Do a bunch of stuff.
  }
}).continueWith(...);

Tasks in Series

Tasks are convenient when you want to do a series of asynchronous operations in a row, each one waiting for the previous to finish. For example, imagine you want to delete all of the comments on your blog.

ParseQuery<ParseObject> query = ParseQuery.getQuery("Comments");
query.whereEqualTo("post", 123);

findAsync(query).continueWithTask(new Continuation<List<ParseObject>, Task<Void>>() {
  public Task<Void> then(Task<List<ParseObject>> results) throws Exception {
    // Create a trivial completed task as a base case.
    Task<Void> task = Task.forResult(null);
    for (final ParseObject result : results) {
      // For each item, extend the task with a function to delete the item.
      task = task.continueWithTask(new Continuation<Void, Task<Void>>() {
        public Task<Void> then(Task<Void> ignored) throws Exception {
          // Return a task that will be marked as completed when the delete is finished.
          return deleteAsync(result);
        }
      });
    }
    return task;
  }
}).continueWith(new Continuation<Void, Void>() {
  public Void then(Task<Void> ignored) throws Exception {
    // Every comment was deleted.
    return null;
  }
});

Tasks in Parallel

You can also perform several Tasks in parallel, using the whenAll method. You can start multiple operations at once and use Task.whenAll to create a new Task that will be marked as completed when all of its input Tasks are finished. The new Task will be successful only if all of the passed-in Tasks succeed. Performing operations in parallel will be faster than doing them serially, but may consume more system resources and bandwidth.

ParseQuery<ParseObject> query = ParseQuery.getQuery("Comments");
query.whereEqualTo("post", 123);

findAsync(query).continueWithTask(new Continuation<List<ParseObject>, Task<Void>>() {
  public Task<Void> then(Task<List<ParseObject>> results) throws Exception {
    // Collect one task for each delete into an array.
    ArrayList<Task<Void>> tasks = new ArrayList<Task<Void>>();
    for (ParseObject result : results) {
      // Start this delete immediately and add its task to the list.
      tasks.add(deleteAsync(result));
    }
    // Return a new task that will be marked as completed when all of the deletes are
    // finished.
    return Task.whenAll(tasks);
  }
}).onSuccess(new Continuation<Void, Void>() {
  public Void then(Task<Void> ignored) throws Exception {
    // Every comment was deleted.
    return null;
  }
});

Task Executors

All of the continueWith and onSuccess methods can take an instance of java.util.concurrent.Executor as an optional second argument. This allows you to control how the continuation is executed. Task.call() invokes Callables on the current thread and Task.callInBackground will use its own thread pool, but you can provide your own executor to schedule work onto a different thread. For example, if you want to do work on a specific thread pool:

static final Executor NETWORK_EXECUTOR = Executors.newCachedThreadPool();
static final Executor DISK_EXECUTOR = Executors.newCachedThreadPool();
final Request request = ...
Task.call(new Callable<HttpResponse>() {
  @Override
  public HttpResponse call() throws Exception {
    // Work is specified to be done on NETWORK_EXECUTOR
    return client.execute(request);
  }
}, NETWORK_EXECUTOR).continueWithTask(new Continuation<HttpResponse, Task<byte[]>>() {
  @Override
  public Task<byte[]> then(Task<HttpResponse> task) throws Exception {
    // Since no executor is specified, it's continued on NETWORK_EXECUTOR
    return processResponseAsync(response);
  }
}).continueWithTask(new Continuation<byte[], Task<Void>>() {
  @Override
  public Task<Void> then(Task<byte[]> task) throws Exception {
    // We don't want to clog NETWORK_EXECUTOR with disk I/O, so we specify to use DISK_EXECUTOR
    return writeToDiskAsync(task.getResult());
  }
}, DISK_EXECUTOR);

For common cases, such as dispatching on the main thread, we have provided default implementations of Executor. These include Task.UI_THREAD_EXECUTOR and Task.BACKGROUND_EXECUTOR. For example:

fetchAsync(object).continueWith(new Continuation<ParseObject, Void>() {
  public Void then(Task<ParseObject> object) throws Exception {
    TextView textView = (TextView)findViewById(R.id.name);
    textView.setText(object.get("name"));
    return null;
  }
}, Task.UI_THREAD_EXECUTOR);

Capturing Variables

One difficulty in breaking up code across multiple callbacks is that they have different variable scopes. Java allows functions to "capture" variables from outer scopes, but only if they are marked as final, making them immutable. This is inconvenient. That's why we've added another convenience class called Capture, which lets you share a mutable variable with your callbacks. Just call get and set on the variable to change its value.

// Capture a variable to be modified in the Task callbacks.
final Capture<Integer> successfulSaveCount = new Capture<Integer>(0);

saveAsync(obj1).onSuccessTask(new Continuation<ParseObject, Task<ParseObject>>() {
  public Task<ParseObject> then(Task<ParseObject> obj1) throws Exception {
    successfulSaveCount.set(successfulSaveCount.get() + 1);
    return saveAsync(obj2);
  }
}).onSuccessTask(new Continuation<ParseObject, Task<ParseObject>>() {
  public Task<ParseObject> then(Task<ParseObject> obj2) throws Exception {
    successfulSaveCount.set(successfulSaveCount.get() + 1);
    return saveAsync(obj3);
  }
}).onSuccessTask(new Continuation<ParseObject, Task<ParseObject>>() {
  public Task<ParseObject> then(Task<ParseObject> obj3) throws Exception {
    successfulSaveCount.set(successfulSaveCount.get() + 1);
    return saveAsync(obj4);
  }
}).onSuccess(new Continuation<ParseObject, Void>() {
  public Void then(Task<ParseObject> obj4) throws Exception {
    successfulSaveCount.set(successfulSaveCount.get() + 1);
    return null;
  }
}).continueWith(new Continuation<Void, Integer>() {
  public Integer then(Task<Void> ignored) throws Exception {
    // successfulSaveCount now contains the number of saves that succeeded.
    return successfulSaveCount.get();
  }
});

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