Adding theme support to your Zend Framework application
This is a brief explanation on how to add theme support to your Zend Framework application and how to ensure those themes are self-contained, easy to distribute and install.
Themes are very powerful and extremely easy to develop. They allow you to quickly switch between layouts and change the look and feel of your application. You can use themes to show, for example, a mobile friendly version of your site.
Making a Zend Framework application theme-able is a three-step process.
First, modify your directory structure:
application/
controllers/
library/
public/
themes/
default/
css/
images/
templates/
custom/
css/
images/
templates/
Then, edit your Bootstrap class:
class Bootstrap extends Zend_Application_Bootstrap_Bootstrap
{
protected function _initView()
{
$theme = 'default';
if (isset($this->config->app->theme)) {
$theme = $this->config->app->theme;
}
$path = PUBLIC_PATH.'/themes/'.$theme.'/templates';
$layout = Zend_Layout::startMvc()
->setLayout('layout')
->setLayoutPath($path)
->setContentKey('content');
$view = new Zend_View();
$view->setBasePath($path);
$view->setScriptPath($path);
return $view;
}
}
And finally, copy your view scripts and layouts to the templates directory:
application/
library/
public/
themes/
full-site/
css/
images/
templates/
error/
index/
partials/
layout.phtml
mobile-site/
css/
images/
templates/
Voila, mission accomplished.
Zend Framework DAL: DAOs and DataMappers
A Data Access Layer (DAL) is the layer of your application that provides simplified access to data stored in persistent storage of some kind. For example, the DAL might return a reference to an object complete with its attributes instead of a row of fields from a database table.
A Data Access Objects (DAO) is used to abstract and encapsulate all access to the data source. The DAO manages the connection with the data source to obtain and store data. Also, it implements the access mechanism required to work with the data source. The data source could be a persistent store like a database, a file or a Web service.
And finally, the DataMapper pattern is used to move data between the object and a database while keeping them independent of each other. The DataMapper main responsibility is to transfer data between the two and also to isolate them from each other.
Here’s an example of the DataMapper pattern:
Database Table Structure
CREATE TABLE `user` ( `id` int(11) NOT NULL auto_increment, `first_name` varchar(100) NOT NULL, `last_name` varchar(100) NOT NULL, PRIMARY KEY (`id`) )
The User DAO
The DAO pattern provides a simple, consistent API for data access that does not require knowledge of an ORM interface. DAO does not just apply to simple mappings of one object to one relational table, but also allows complex queries to be performed and allows for stored procedures and database views to be mapped into data structures.
A typical DAO design pattern interface is shown below:
interface UserDao
{
public function fetchRow($id);
public function fetchAll();
public function insert($data);
public function update($id, $data);
public function delete($id);
}
class UserDatabaseDao implements UserDao
{
public function fetchRow($id)
{
$dataSource = Zf_Orm_Manager::getInstance()->getDataSource();
$db = $dataSource->getConnection('slave');
$query = $db->select()->from('user')->where('id = ?', $id);
return $db->fetchRow($query);
}
public function fetchAll()
{
$dataSource = Zf_Orm_Manager::getInstance()->getDataSource();
$db = $dataSource->getConnection('slave');
$query = $db->select()->from('user');
return $db->fetchAll($query);
}
public function insert($data)
{
$dataSource = Zf_Orm_Manager::getInstance()->getDataSource();
$db = $dataSource->getConnection('master');
$db->insert('user', $data);
return $db->lastInsertId();
}
public function update($id, $data)
{
$dataSource = Zf_Orm_Manager::getInstance()->getDataSource();
$db = $dataSource->getConnection('master');
$condition = $db->quoteInto('id = ?', $id);
return $db->update('user', $data, $condition);
}
public function delete($id)
{
$dataSource = Zf_Orm_Manager::getInstance()->getDataSource();
$db = $dataSource->getConnection('master');
$condition = $db->quoteInto('id = ?', $id);
return $db->delete('user', $condition);
}
}
The User Entity
An Entity is anything that has continuity through a life cycle and distinctions independent of attributes that are important to the application’s user.
class User
{
protected $id;
protected $firstName;
protected $lastName;
public function setId() {
}
public function getId() {
}
public function setFirstName() {
}
public function getFirstName() {
}
public function setLastName() {
}
public function getLastName() {
}
public function toArray() {
}
}
The User DataMapper
class UserDataMapper extends Zf_Orm_DataMapper
{
public function __construct()
{
$this->setMap(
array(
'id' => 'id',
'first_name' => 'firstName',
'last_name' => 'lastName'
)
);
}
}
Source Code: http://fedecarg.com/repositories/show/datamapper
The User Repository
Repositories play an important part in DDD, they speak the language of the domain and act as mediators between the domain and data mapping layers. They provide a common language to all team members by translating technical terminology into business terminology.
Lets create a UserRepository class to isolate the domain object from details of the DAO:
class UserRepository
{
private $databaseDao;
public funciton setDatabaseDao(UserDao $dao)
{
$this->databaseDao = $dao;
}
public function getDatabaseDao()
{
if (null === $this->databaseDao) {
$this->setDatabaseDao(new UserDatabaseDao());
}
return $this->databaseDao;
}
public function find($id)
{
$row = $this->getDatabaseDao()->fetchRow($id);
$mapper = new UserDataMapper();
$user = $mapper->assign(new User(), $row);
return $user;
}
}
The User Controller
class UserController extends Zend_Controller_Action
{
public function viewAction()
{
$userRepository = new UserRepository();
$user = $userRepository->find($this->_getParam('id'));
if ($user instanceof User) {
$id = $user->getId();
$firstName = $user->getFirstName();
$lastName = $user->getLastName();
// get an array of key value pairs
$row = $user->toArray();
}
}
}
That’s all, I hope you’ve found this post useful.
Increase speed and reduce bandwidth usage
Apache’s mod_deflate module provides the DEFLATE output filter that allows output from your server to be compressed before being sent to the client over the network.
There are two ways of enabling gzip compression:
- Using Apache’s mod_deflate
- Using output buffering
Encoding the output and setting the appropriate headers manually makes the code more portable. Keep in mind that there are hundreds of Linux distributions, each slightly different to significantly different. To allow portability the application should not make assumptions about the OS or config involved.
Using Apache
1. Enable mod_deflate
Debian/Ubuntu:
$ a2enmod deflate $ /etc/init.d/apache2 force-reload
2. Configure mode_deflate
$ nano /etc/apache2/mods-enabled/deflate.conf # # mod_deflate configuration # <IfModule mod_deflate.c> AddOutputFilterByType DEFLATE text/plain AddOutputFilterByType DEFLATE text/html AddOutputFilterByType DEFLATE text/xml AddOutputFilterByType DEFLATE text/css AddOutputFilterByType DEFLATE application/xml AddOutputFilterByType DEFLATE application/xhtml+xml AddOutputFilterByType DEFLATE application/rss+xml AddOutputFilterByType DEFLATE application/javascript AddOutputFilterByType DEFLATE application/x-javascript DeflateCompressionLevel 9 BrowserMatch ^Mozilla/4 gzip-only-text/html BrowserMatch ^Mozilla/4\.0[678] no-gzip BrowserMatch \bMSIE !no-gzip !gzip-only-text/html DeflateFilterNote Input instream DeflateFilterNote Output outstream DeflateFilterNote Ratio ratio </IfModule>
Using output buffering
Create a gzip compressed string in your bootstrap file:
try {
$frontController = Zend_Controller_Front::getInstance();
if (@strpos($_SERVER['HTTP_ACCEPT_ENCODING'], 'gzip') !== false) {
ob_start();
$frontController->dispatch();
$output = gzencode(ob_get_contents(), 9);
ob_end_clean();
header('Content-Encoding: gzip');
echo $output;
} else {
$frontController->dispatch();
}
} catch (Exeption $e) {
if (Zend_Registry::isRegistered('Zend_Log')) {
Zend_Registry::get('Zend_Log')->err($e->getMessage());
}
$message = $e->getMessage() . "\n\n" . $e->getTraceAsString();
/* trigger event */
}
Reference
Towards Community Cloud Computing
Cloud Computing is rising fast, with its data centers growing at an unprecedented rate. However, this has come with concerns of privacy, efficiency at the expense of resilience, and environmental sustainability, because of the dependence on Cloud vendors such as Google, Amazon, and Microsoft. Community Cloud Computing makes use of the principles of Digital Ecosystems to provide a paradigm for Clouds in the community, offering an alternative architecture for the use cases of Cloud Computing. It is more technically challenging to deal with issues of distributed computing, such as latency, differential resource management, and additional security requirements. However, these are not insurmountable challenges, and with the need to retain control over our digital lives and the potential environmental consequences, it is a challenge we must pursue.
Towards Community Cloud Computing (Visit Site | Download PDF)
Format a time interval with the requested granularity
This class, a refactored version of Drupal’s format_interval function, makes it relatively easy to format an interval value. The format will automatically format as compactly as possible. For example: if the difference between the two dates is only a few hours and both dates occur on the same day, the year, month, and day parts of the date will be omitted.
class DateIntervalFormat
{
/**
* Format an interval value with the requested granularity.
*
* @param integer $timestamp The length of the interval in seconds.
* @param integer $granularity How many different units to display in the string.
* @return string A string representation of the interval.
*/
public function getInterval($timestamp, $granularity = 2)
{
$seconds = time() - $timestamp;
$units = array(
'1 year|:count years' => 31536000,
'1 week|:count weeks' => 604800,
'1 day|:count days' => 86400,
'1 hour|:count hours' => 3600,
'1 min|:count min' => 60,
'1 sec|:count sec' => 1);
$output = '';
foreach ($units as $key => $value) {
$key = explode('|', $key);
if ($seconds >= $value) {
$count = floor($seconds / $value);
$output .= ($output ? ' ' : '');
if ($count == 1) {
$output .= $key[0];
} else {
$output .= str_replace(':count', $count, $key[1]);
}
$seconds %= $value;
$granularity--;
}
if ($granularity == 0) {
break;
}
}
return $output ? $output : '0 sec';
}
}
Usage:
$dateFormat = new DateIntervalFormat();
$timestamp = strtotime('2009-06-21 20:46:11');
print sprintf('Submitted %s ago', $dateFormat->getInterval($timestamp));
Outputs:
Submitted 3 days 4 hours ago
Face Detection Using PHP
Maurice Svay explains how to detect faces in photos with PHP:
Nowadays, face detection is built in many consumer products (camera obviously, but also Google and iPhoto), and seems to be a pretty common job. So I expected to find many solutions for doing it with PHP. Surprisingly, the only one I could find is OpenCV, an opensource lib that was originally developed by Intel. OpenCV seems to perform well but you need to be able to install it on your server. In my case, I wanted to have a pure PHP solution, so it can work with most hosts.
Apache HTTP DoS tool released
Yesterday an interesting HTTP DoS tool has been released. The tool performs a Denial of Service attack on Apache (and some other, see below) servers by exhausting available connections. While there are a lot of DoS tools available today, this one is particularly interesting because it holds the connection open while sending incomplete HTTP requests to the server.
Java, C, Python and nested loops
Java has no goto statement, to break or continue multiple-nested loop or switch constructs, Java programmers place labels on loop and switch constructs, and then break out of or continue to the block named by the label. The following example shows how to use java break statement to terminate the labeled loop:
public class BreakLabel
{
public static void main(String[] args)
{
int[][] array = new int[][]{{1,2,3,4},{10,20,30,40}};
boolean found = false;
System.out.println("Searching 30 in two dimensional int array");
Outer:
for (int intOuter = 0; intOuter < array.length ; intOuter++) {
Inner:
for (int intInner = 0; intInner < array[intOuter].length; intInner++) {
if (array[intOuter][intInner] == 30) {
found = true;
break Outer;
}
}
}
if (found == true) {
System.out.println("30 found in the array");
} else {
System.out.println("30 not found in the array");
}
}
}
Use of labeled blocks in Java leads to considerable simplification in programming effort and a major reduction in maintenance.
On the other hand, the C continue statement can only continue the immediately enclosing block; to continue or exit outer blocks, programmers have traditionally either used auxiliary Boolean variables whose only purpose is to determine if the outer block is to be continued or exited; alternatively, programmers have misused the goto statement to exit out of nested blocks.
What’s interesting is that Python rejected the labeled break and continue proposal a while ago. And here’s why:
Guido van Rossum wrote:
I’m rejecting it on the basis that code so complicated to require this feature is very rare. While I’m sure there are some (rare) real cases where clarity of the code would suffer from a refactoring that makes it possible to use return, this is offset by two issues:
1. The complexity added to the language, permanently.
2. My expectation that the feature will be abused more than it will be used right, leading to a net decrease in code clarity (measured across all Python code written henceforth). Lazy programmers are everywhere, and before you know it you have an incredible mess on your hands of unintelligible code.
But what’s more interesting is that the idea of adding a goto statement was never mentioned. Common sense perhaps?
Google Page Speed: Web Performance Best Practices
When you profile a web page with Page Speed, it evaluates the page’s conformance to a number of different rules. These rules are general front-end best practices you can apply at any stage of web development. Google provides documentation of each of the rules, so whether or not you run the Page Speed tool, you can refer to these pages at any time.
The best practices are grouped into five categories that cover different aspects of page load optimization:
- Optimizing caching: Keeping your application’s data and logic off the network altogether
- Minimizing round-trip times: Reducing the number of serial request-response cycles
- Minimizing request size: Reducing upload size
- Minimizing payload size: Reducing the size of responses, downloads, and cached pages
- Optimizing browser rendering: Improving the browser’s layout of a page
The Cost of Hosting on Amazon
Mather Corgan, president of HotPads, gave a great talk on how HotPads uses AWS to run their real estate search engine. HotPads abandoned their managed hosting in December and took the leap over to EC2 and its siblings. The presentation has a lot of detail on costs and other things to watch out for, so if you’re currently planning your “cloud” architecture, you’ll find some of this really helpful.