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https://pimcore.com/docs/platform//Pimcore/Best_Practice/Building_Custom_Rest_APIs#example | Example
<?php
namespace App\Controller;
use Pimcore\Model\DataObject;
use Symfony\Component\HttpFoundation\JsonResponse;
use Symfony\Component\HttpFoundation\Request;
use Symfony\Component\Routing\Annotation\Route;
use \Pimcore\Controller\FrontendController;
class CustomRestController extends FrontendController
{
/**
* @Route("/custom-pimcore-webservice/rest/get-products")
*/
public function defaultAction(Request $request): JsonResponse
{
// do some authorization here ...
$blogs = new DataObject\BlogArticle\Listing();
foreach ($blogs as $key => $blog) {
$data[] = array(
"title" => $blog->getTitle(),
"description" => $blog->getText(),
"tags" => $blog->getTags());
}
return $this->json(["success" => true, "data" => $data]);
}
}
Sometimes it is necessary to serialize complete element for API response.
This can be achieved by overriding a model
which implements the \JsonSerializable interface and implementing jsonSerialize method to return the data you require to be serialized.
<?php
namespace App\Model\DataObject;
class BlogArticle extends \Pimcore\Model\DataObject\BlogArticle implements \JsonSerializable
{
public function jsonSerialize(): array
{
$vars = get_object_vars($this);
return $vars;
}
}
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https://pimcore.com/docs/platform//Pimcore/Best_Practice/Integrating_Commerce_Data_with_Content#integrating-commerce-data-with-content | Integrating Commerce Data With Content
Content commerce, shop everywhere, vanish separation of content and commerce - these are key phrases that popup with
every state-of-the-art e-commerce project. With its integrated approach Pimcore does exactly that and provides several
tools to provide the best experience for the users.
One of these tools are Renderlets,
which provide a great way to integrate dynamic object (thus commerce) content to Pimcore documents.
Follow the steps to create a Product teaser similar to the one in our demo. | Integrating Commerce Data With Content | [
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https://pimcore.com/docs/platform//Pimcore/Best_Practice/Integrating_Commerce_Data_with_Content#create-area-brick-myproductteaser-with-renderlet | Create Area Brick MyProductTeaser with Renderlet
MyProductTeaser Implementation
<?php
namespace App\Document\Areabrick;
class MyProductTeaser extends AbstractAreabrick
{
/**
* {@inheritdoc}
*/
public function getName(): string
{
return 'My Product Teaser';
}
}
MyProductTeaser Template
<div class="row">
{% for i in pimcore_block('teaserblock').iterator %}
{{ pimcore_renderlet('productteaser', {
controller: 'shop',
action: 'productCell',
width: 270,
height: 370,
title: 'Drag a product here',
editmode: editmode
}) }}
{% endfor %}
</div>
| Create Area Brick MyProductTeaser with Renderlet | [
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https://pimcore.com/docs/platform//Pimcore/Best_Practice/Integrating_Commerce_Data_with_Content#create-controller-and-action-for-teaser-content | Create Controller and Action for Teaser Content
Controller Action
public function productCellAction(Request $request): Response
{
$id = $request->attribute->getInt('id');
$type = $request->attribute->get('type');
if ($type === 'object') {
$product = Product::getById($id);
return $this->render('product/product_cell.html.twig', ['product' => $product]);
}
throw new \Exception('Invalid Type');
}
Template
{% set col = app.request.get('editmode') ? 12 : 3 %}
<div class="col-sm-{{ col }} col-lg-{{ col }} col-md-{{ col }}">
<div class="thumbnail product-list-item">
<a href="{{ product.linkProduct.detailUrl }}">
{{ product.getFirstImage('productList').html({class: 'product-image'}) }}
<div class="caption">
<h4 class="pull-right">{{ product.OSPrice }}</h4>
<h4>{{ product.OSName }}</h4>
<p>{{ product.description|striptags|trim[:70] }}</p>
</div>
</a>
<div class="buttons">
<div class="row">
<div class="col-md-6">
</div>
<div class="col-md-6">
<a href="{{ pimcore_url({
language: language,
action: 'add',
item: product.id,
}, 'cart') }}" class="btn btn-success btn-product">
<span class="glyphicon glyphicon-shopping-cart"></span>
{{ 'shop.buy'|trans }}
</a>
</div>
</div>
</div>
</div>
</div>
| Create Controller and Action for Teaser Content | [
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] |
https://pimcore.com/docs/platform//Pimcore/Best_Practice/Primary-Replica_Database_Connection#how-to-configure-pimcore-to-use-a-primaryreplica-database-connection | How to Configure Pimcore To Use a Primary/Replica Database Connection
IMPORTANT: Please be aware that the primary/replica connection can only be used for a clustered MariaDB/MySQL environment, NOT
for a primary/replica server setup! Due to the extensive multi-layered, consistent and tagged caching of Pimcore
it is necessary that Pimcore always has access to the latest data in the database. Due to the asynchronous nature
of the primary/replica setup, this isn't ensured for that. | How to Configure Pimcore To Use a Primary/Replica Database Connection | [
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] |
https://pimcore.com/docs/platform//Pimcore/Best_Practice/Primary-Replica_Database_Connection#create-a-project-specific-database-connection-class | Create a Project specific Database Connection Class
Create a new class at src\Db\Connection.php, with the following content:
<?php
namespace App\Db;
use Doctrine\DBAL\Connections\PrimaryReadReplicaConnection;
class Connection extends PrimaryReadReplicaConnection
{
/**
* @param string|null $connectionName
*/
public function connect($connectionName = null): bool
{
$returnValue = parent::connect($connectionName);
if ($returnValue) {
$this->_conn->query('SET default_storage_engine=InnoDB;');
$this->_conn->query("SET sql_mode = '';");
}
return $returnValue;
}
}
| Create a Project specific Database Connection Class | [
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] |
https://pimcore.com/docs/platform//Pimcore/Best_Practice/Primary-Replica_Database_Connection#configure-the-primaryreplica-connection | Configure the Primary/Replica Connection
The main database connection which you have configured for Pimcore is always the primary connection.
Then you can add as many replica hosts as you like, in the following example there's just one replica host,
where only the host is different (in our case replica1), all other options are reused from the primary connection.
doctrine:
dbal:
connections:
default:
wrapper_class: '\App\Db\Connection'
replicas:
replica1:
host: 'replica1'
port: 3306
dbname: dbname
user: username
password: password
charset: UTF8MB4
| Configure the Primary/Replica Connection | [
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] |
https://pimcore.com/docs/platform//Pimcore/Best_Practice/Modifying_Permissions_based_on_Object_Data#modifying-permissions-based-on-object-data | Modifying Permissions Based on Object Data
The event OBJECT_GET_PRE_SEND_DATA
can be used to manipulate the server response before object data is sent to Pimcore Backend UI when opening the detail
view of an Pimcore object.
Imagine following use case:
Your PIM system aggregates different sources (e.g. multiple ERP systems from different sub companies) of products and merges
them to one single product hierarchy tree in order to have one single tree of products.
So all editors can see all products in one place and get a good overview of all available products, which is great.
When it comes to editing though, not all editors should be able to edit all products. The editing permissions for products
should be based on the ERP system they originate from.
Since the products are merged together into one tree structure, setting up such a permission structure might become ticky,
especially when products are moved around in the object tree.
Solution
Define additional permissions by adding additional entries into the table users_permission_definitions. These permission
entries are visible and can be configured in users and roles permission settings.
Use the OBJECT_GET_PRE_SEND_DATA event to modify user permissions on the fly based on object data (e.g. objects origin)
when opening the object.
To do so create a Event Listener
with following content:
config/services.yaml
services:
app.event_listener.my_event_listner:
class: App\EventListener\MyEventListener
arguments:
- '@Pimcore\Security\User\UserLoader'
tags:
- { name: kernel.event_listener, event: pimcore.admin.dataobject.get.preSendData, method: checkPermissions }
src/EventListener/MyEventListener
<?php
namespace App\EventListener;
use ...
class MyEventListener
{
protected UserLoader $userLoader;
public function __construct(UserLoader $userLoader)
{
$this->userLoader = $userLoader;
}
public function checkPermissions(GenericEvent $event): void
{
$object = $event->getArgument("object");
if($object instanceof Product) {
//data element that is send to Pimcore backend UI
$data = $event->getArgument("data");
//get product origin
$origin = 'erp1';
//get current user
$user = $this->userLoader->getUser();
//check if allowed and if not change permission
if(!$user || !$user->isAllowed("editing_origin_$origin")) {
$data['userPermissions']['save'] = false;
$data['userPermissions']['publish'] = false;
$data['userPermissions']['unpublish'] = false;
$data['userPermissions']['delete'] = false;
$data['userPermissions']['create'] = false;
$data['userPermissions']['rename'] = false;
}
$event->setArgument("data", $data);
}
}
}
| Modifying Permissions Based on Object Data | [
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] |
https://pimcore.com/docs/platform//Pimcore/Best_Practice/Object_Bricks_vs_Classification_Store#object-bricks-vs-classification-store | Object Bricks vs Classification Store
Pimcore offers many possibilities regarding data modeling for structured data (= Pimcore Data Objects).
Most of them are self-explanatory, while others often raise questions about when it makes most sense to use them and what
exactly is the difference between the individual choices.
Candidates for such a choice are Object Bricks and Classification Store. | Object Bricks vs Classification Store | [
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https://pimcore.com/docs/platform//Pimcore/Best_Practice/Object_Bricks_vs_Classification_Store#basic-goal | Basic goal
Object Bricks and Classification Store share a common goal, which is best explained with an example:
A shop has products of many different categories (eg shoes, tents, flashlights, etc.).
All these products have some attributes that are the same for all categories (eg name, photo, descriptive text, article
number, color ...). These attributes are created in a common product class definition.
Apart from that, there are also attributes that are different for each category (shoes have sole profiles, tents have a
floor material and flashlights have light intensity). All these attributes could of course also be created in the common
product class definition. But that would result in a very large and confusing class definition (= not good). It is better
to use Object Bricks or the Classification Store for these category-specific attributes.
Generally speaking, both data types make the rigid object class definition extensible at the object level. Of course,
this is not just limited to product data, but can also be practical for other data. Attributes for both data types can
be displayed, filtered and edited in the object grid view. | Basic goal | [
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] |
https://pimcore.com/docs/platform//Pimcore/Best_Practice/Object_Bricks_vs_Classification_Store#technical-implementation-differences | Technical implementation differences
Object Bricks
Classification Store
Design options in the object editor
All layout options provided by ExtJS and Pimcore (Panels, Tabs, Regions, Fieldsets, Text Descriptions, ...)
All attributes are arranged among themselves in regions, little influence possibilities.
Available data types
Almost all Pimcore data types, apart from structured data types such as Field Collections, Classification Store, Object Bricks
Only very limited simple data types such as text fields, numbers, dates, selects and multiselects (eg also no relations).
Storage of the data
Pimcore standard schema in own database tables with one column per attribute.
Entity Attribute Value (EAV) schema, ie in a very long database table with one line per attribute (has the same effect on loading and filtering).
Access to the data via API
Quite simply via getter and setter as known from Pimcore objects - see here
Slightly harder on generic getter / setter calls - see here
Filter in object listings
Using JOINs directly in the Object-Listing Query, see here
Only possible via custom subqueries and rather tedious.
| Technical implementation differences | [
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https://pimcore.com/docs/platform//Pimcore/Best_Practice/Object_Bricks_vs_Classification_Store#when-do-you-use-something---a-checklist-and-a-rule-of-thumb? | When do you use something - a checklist and a rule of thumb? | When do you use something - a checklist and a rule of thumb? | [
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] |
https://pimcore.com/docs/platform//Pimcore/Best_Practice/Object_Bricks_vs_Classification_Store#a-basic-rule-of-thumb-can-be | A basic rule of thumb can be
As long as a manageable number of categories with specific attributes is in place, rather use Object Bricks.
Once there will be a lot of categories (more than 30) with a lot of attributes, then rather use Classification Store.
| A basic rule of thumb can be | [
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] |
https://pimcore.com/docs/platform//Pimcore/Best_Practice/Object_Bricks_vs_Classification_Store#in-addition,-there-are-a-few-more-questions-which-can-help-you-make-a-decision | In addition, there are a few more questions which can help you make a decision
Are there relations in the attributes? → currently only works with Object Bricks
Do the attributes have to be created automatically (eg via interface)? → easier with Classification Store
But there is (unfortunately) no rule, which is always valid. It just depends on a lot of factors, sometimes one is better, sometimes the other, sometimes a combination of both. So the decision has to be made by a developer (in coordination with senior colleagues or the Pimcore core team).
If you have any questions, of course you can always contact us .... | In addition, there are a few more questions which can help you make a decision | [
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] |
https://pimcore.com/docs/platform//Pimcore/Best_Practice/Object_Data_Inheritance#object-data-inheritance-in-action | Object Data Inheritance in Action
Object Data Inheritance is a powerful feature to minimize the data maintenance effort for editors.
In our e-commerce demo we use data inheritance for fashion products with different colors and sizes - meaning
we have a generic article with all the generic information (like names, descriptions, material, gender assignment, specific
attributes etc.) and we have color and size variants that inherit all the data from it and overwrite just color and size.
This already massively reduces the data maintenance effort, since all the generic information needs to be entered and updated only once per generic article.
Reducing Maintenance Effort even more with Virtual Products
In lots of domains, data maintenance effort can be reduced even more. Products from the same category, manufacturer, type or series, share a lot of common attributes - like assigned categories, assigned manufacturer, values for technical
attributes, maybe even images etc.
To take advantage of data inheritance for these use cases too, we recommend the concept of virtual products.
Virtual products are objects of the same type as products, with a special flag set.
This flag is a normal object attribute and defines that these products are data containers only and are not considered
in output channels like product listings and exports.
Using virtual products, complex product hierarchies can be constructed and data can be maintained in a single place for minimal data maintenance effort.
With the Custom Icons feature,
icons can be modified for virtual products, like in this example grey icons for virtual products, colored icons for real
products.
With Custom Layouts and
the tips of Showing Custom Layouts based on Object Data it is even
possible to deliver a different object editor mask for virtual products with additional explanation texts and showing
only attributes that should be modified on the current level by the editor. | Object Data Inheritance in Action | [
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https://pimcore.com/docs/platform//Pimcore/Best_Practice/Open_By-External_Id#open-by-external-id | Open By External Id
There are 2 different approaches:
You can either hook directly into the the default Pimcore id resolver by using this event
Or add an independent menu entry and a shortcut similar to the default Open Data Object (ctrl + shift + o) to the admin ui.
Create a bundle with a Pimcore Backend Interface java script extension as described
here.
document.addEventListener(pimcore.events.pimcoreReady, (e) => {
const shortcutKey = 'l';
const endPoint = '/admin/find-by-external-id';
const messageBoxTitle = t('app_external_id_messagebox_title');
const messageBoxText = t('app_external_id_messagebox_errormessage');
const menuTitle = t('app_external_id_menu_title');
const openMessageBox = function() {
Ext.MessageBox.prompt(t("open_data_object"), messageBoxTitle, function(btn, text){
if(btn == 'ok'){
Ext.Ajax.request({
url: endPoint,
method: "post",
params: {
'external-id': text
},
success: function(response){
var res = Ext.decode(response.responseText);
if(res) {
pimcore.helpers.openElement(res, 'object');
} else{
pimcore.helpers.showNotification(t("error"), messageBoxText, "error");
}
}
});
}
})
};
const toolbar = pimcore.globalmanager.get("layout_toolbar");
const fileMenu = toolbar.fileMenu;
if(fileMenu) {
fileMenu.insert(4, {
text: menuTitle,
iconCls: 'pimcore_icon_object pimcore_icon_overlay_go',
cls: 'pimcore_main_menu',
handler: openMessageBox
});
}
new Ext.util.KeyMap({
target: document,
key: shortcutKey,
fn: openMessageBox,
ctrl:true,
alt:false,
shift:true,
stopEvent:true
});
});
Create a controller to find your DataObject
namespace App\Controller\Admin;
use Symfony\Component\HttpFoundation\JsonResponse;
use Symfony\Component\HttpFoundation\Request;
class BackendController
{
/**
* @Route("/admin/find-by-external-id")
*/
public function findByWordpressId(Request $request): JsonResponse
{
if ($id = (int)$request->get('external-id')) {
if($object = MyObject::getByExternalId($id)) {
return new JsonResponse($object->getId());
}
}
return new JsonResponse(0);
}
}
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] |
https://pimcore.com/docs/platform//Pimcore/Best_Practice/Style_Backend_Depending_On_App-Env#style-backend-depending-on-the-application-environment | Style Backend Depending on the Application Environment
Sometimes it makes sense to style the Pimcore backend UI depending on the application environment (APP_ENV) so that
backend users can easily differentiate by the looks.
Imagine having additional environments for Staging and Testing and you want to give editors a hint that they are working
in the correct environment.
This can be easily implemented since Pimcore 10.1.0
(#9794) as the backend's body element contains a data attribute
data-app-env with the current application environment (e.g.
<body class="pimcore_version_11" data-app-env="dev">) and thus can be referenced with a CSS selector.
Add an event subscriber
services:
# Event subscribers
App\EventSubscriber\:
resource: '../src/EventSubscriber/*'
tags: [ 'kernel.event_subscriber' ]
And subscribe to \Pimcore\Bundle\AdminBundle\Event\BundleManagerEvents::CSS_PATHS event in order to load a custom CSS file (e.g.
/css/env.css).
<?php
namespace App\EventSubscriber;
class AdminAssetsSubscriber implements \Symfony\Component\EventDispatcher\EventSubscriberInterface
{
public static function getSubscribedEvents(): array
{
return [
\Pimcore\Bundle\AdminBundle\Event\BundleManagerEvents::CSS_PATHS => 'onCssPaths',
];
}
public function onCssPaths(\Pimcore\Event\BundleManager\PathsEvent $event): void
{
$event->setPaths(array_merge($event->getPaths(), ['/css/env.css']));
}
}
Create a CSS file /css/env.css. In this example, we intentionally style the Pimcore backend's UI body with a standout
background.
body:not([data-app-env='prod']) #pimcore_body {
background: repeating-linear-gradient(
-45deg,
#005baa,
#005baa 5px,
#0c0f12 30px,
#0c0f12 10px
);
}
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] |
https://pimcore.com/docs/platform//Pimcore/Best_Practice/Security_Concept#security-concept | Security Concept
We at Pimcore take security very seriously and recommend a multi-layer security concept to keep Pimcore-based solutions
safe.
As Pimcore is a framework and not an out-of-the box solution, this multi-layer security concept has parts that are
provided by the core framework itself, and parts that need to be provided by the solution partner,
that delivers the solution. | Security Concept | [
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https://pimcore.com/docs/platform//Pimcore/Best_Practice/Security_Concept#pimcore-core-level | Pimcore Core Level | Pimcore Core Level | [
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https://pimcore.com/docs/platform//Pimcore/Best_Practice/Security_Concept#following-coding-standards-&-best-practices | Following Coding Standards & Best Practices
To minimize the risk of security issues, we follow established and proven php coding standards as well as industry best
practises. The coding standards are based on so called PSRs (PHP Standards Recommendations) developed by the
PHP Framework Interop Group (PHP-FIG) and are enforced during our continuous integration process at Github.
Pimcore is also a voting member of the PHP-FIG. | Following Coding Standards & Best Practices | [
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] |
https://pimcore.com/docs/platform//Pimcore/Best_Practice/Security_Concept#dependency-management | Dependency Management
Pimcore is based on the Symfony framework (PHP industry standard framework) and multiple additional components and
dependencies. All Dependencies are managed through Composer (the standard PHP dependency management solution) which makes
it easy and comfortable to keep all dependencies of Pimcore and your project up-to-date and safe.
Since Pimcore is a Symfony application, it can utilize all Symfony tools, like the
Symfony Security Checker. | Dependency Management | [
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https://pimcore.com/docs/platform//Pimcore/Best_Practice/Security_Concept#content-security-policy | Content Security Policy
Pimcore provides a Content Security Policy handler, which enables an additional security layer to protect from certain attacks like Cross-Site Scripting (XSS) and data injection and so on, by adding Content-Security-Policy HTTP response header with nonce to every request in Admin interface. The generated nonce encoded string is matched with the one provided in link or inline javascript, which allows them to be executed safely.
Content Security Policy is enabled by default.
Read more about Content Security Policy.
To allow external urls for each directive, add a custom configuration in config/config.yaml and provide a list in the configuration:
# config/config.yaml
pimcore_admin:
admin_csp_header:
additional_urls:
script-src:
- 'https://oreo.cat/scripts/meow.js'
- 'https://bagheera.cat/*'
style-src:
- 'https://oreo.cat/scripts/meow.css'
To disable CSP set the enabled property to false in your configuration:
# config/config.yaml
pimcore_admin:
admin_csp_header:
enabled: false
In case, you are using third party bundles or custom implementation that extends the admin backend interface with custom views then you would need to use generated nonce string in your scripts.
If a script does not contain valid a nonce, then it is stopped from being executed wih a warning in console like:
Refused to execute inline script because it violates the following Content Security Policy directive: ...
This issue can be resolved either by using Pimcore Headscript extension or add nonce script to inline scripts as follows:
<script {{ pimcore_csp.getNonceHtmlAttribute()|raw }}>
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] |
https://pimcore.com/docs/platform//Pimcore/Best_Practice/Security_Concept#handling-security-issues | Handling Security Issues
In the case of a security issue/vulnerability in the Pimcore core framework, we handle them with the following procedure:
Reporting Issue:
Report issue via Pimcore Security form, not via public
issue tracker (according guidelines also available at public issue tracker).
Resolving Issue:
Reported issue is forwarded directly forwarded to Pimcore core team, verified and if confirmed resolved in following steps
Send an acknowledgement to the reporter with an official statement
Work on a patch
If not already available, get a CVE identifier
Publish patch and/or new release of Pimcore
Publish security announcement with at least affected versions, possible exploits and how to patch/upgrade
| Handling Security Issues | [
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https://pimcore.com/docs/platform//Pimcore/Best_Practice/Security_Concept#project-specific-level-(provided-by-integration-partner) | Project specific Level (provided by Integration Partner) | Project specific Level (provided by Integration Partner) | [
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https://pimcore.com/docs/platform//Pimcore/Best_Practice/Security_Concept#following-coding-standards-&-best-practices | Following Coding Standards & Best Practices
Same as for the core development, we recommend applying all the coding standards and best practises for solution development
too. | Following Coding Standards & Best Practices | [
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] |
https://pimcore.com/docs/platform//Pimcore/Best_Practice/Security_Concept#dependency-management | Dependency Management
Same as for the core development, we also recommend security checks for all the additional solution dependencies. Also
for solutions, all Symfony tools, like the Symfony Security Checker
can be utilized. | Dependency Management | [
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] |
https://pimcore.com/docs/platform//Pimcore/Best_Practice/Security_Concept#project-specific-penetration-testing | Project Specific Penetration Testing
Project specific penetration testing should uncover possible security issues in solution implementation. This testing
should be done on staging systems, without additional security layers such as WAF (Web Application Firewall) or IPS
(Intrusion Protection Systems) and should cover all OWASP Top 10 risks.
Best results are expected when this testing is done by a third-party partner. | Project Specific Penetration Testing | [
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https://pimcore.com/docs/platform//Pimcore/Best_Practice/Security_Concept#waf-&-ips-on-production-systems | WAF & IPS on production systems
Web Application Firewalls and Intrusion Protection Systems are systems that sit in front of the application, analyse all
traffic and try to filter malicious activities.
As standard php application, Pimcore supports all industry standard products such as ModSecurity, WAF safeguards of
Cloud Flare and others. Which to use is depending on the actual IT infrastructure. For Pimcore backend usage, some
additional rules might be necessary.
WAF and IPS on production systems should be the last safety net in the multi-layer security concept. | WAF & IPS on production systems | [
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https://pimcore.com/docs/platform//Pimcore/Best_Practice/Showing_Custom_Layouts_based_on_Object_Data#showing-custom-layouts-based-on-object-data | Showing Custom Layouts Based on Object Data
The event OBJECT_GET_PRE_SEND_DATA
can be used to manipulate the server response before object data is sent to Pimcore Backend UI when opening the detail
view of an Pimcore object.
Imagine following use case:
Products (stored as Pimcore objects) are organized in a certain hierarchy and take advantage of Pimcores data
inheritance. An example would be the structure we use in our e-commerce demo application where we have three levels
of product hierarchy: article, color variant, size variant.
To minimize maintenance effort, certain attributes should only be maintained on a certain hierarchy level (e.g. product
name on article level, color and images on color variant level, size on size variant level).
In order to make this simple for the editors, they only should see the attributes they need to maintain on the corresponding
hierarchy level.
Solution
Create a Custom Layout
for every hierarchy level.
Use the OBJECT_GET_PRE_SEND_DATA event to decide which custom layouts should be shown to the user based the hierarchy level.
To do so create a Event Listener
with following content:
config/services.yaml
services:
app.event_listener.my_event_listner:
class: App\EventListener\MyEventListener
tags:
- { name: kernel.event_listener, event: pimcore.admin.dataobject.get.preSendData, method: selectCustomLayout }
src/EventListener/MyEventListener
<?php
namespace App\EventListener;
use ...
class MyEventListener
{
public function selectCustomLayout(GenericEvent $event): void
{
$object = $event->getArgument('object');
if ($object instanceof Product) {
//get product hierarchy level
$hierarchyLevel = $object->getLevel();
//data element that is send to Pimcore backend UI
$data = $event->getArgument('data');
switch ($hierarchyLevel) {
case 'Article':
$data = $this->doModifyCustomLayouts($data, $object, 2, [0, 1]);
break;
case 'Color Variant':
$data = $this->doModifyCustomLayouts($data, $object, 1, [0, 2]);
break;
default:
$data = $this->doModifyCustomLayouts($data, $object, 0, [1, 2]);
break;
}
$event->setArgument('data', $data);
}
}
private function doModifyCustomLayouts(array $data, Product $object, int $customLayoutToSelect, array $layoutsToRemove): array
{
//set current layout to subcategory layout
$data['currentLayoutId'] = $customLayoutToSelect;
$customLayout = CustomLayout::getById($customLayoutToSelect);
$data['layout'] = $customLayout->getLayoutDefinitions();
Service::enrichLayoutDefinition($data['layout'], $object);
if (!empty($layoutsToRemove)) {
//remove main layout from valid layouts
$validLayouts = $data['validLayouts'];
foreach($validLayouts as $key => $validLayout) {
if(in_array($validLayout['id'], $layoutsToRemove)) {
unset($validLayouts[$key]);
}
}
$data['validLayouts'] = array_values($validLayouts);
}
return $data;
}
}
| Showing Custom Layouts Based on Object Data | [
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https://pimcore.com/docs/platform//Pimcore/Best_Practice/Using_Tags_for_Filtering#using-pimcore-tags-for-filtering-in-frontend | Using Pimcore Tags for Filtering in Frontend
The Pimcore Tags functionality is primarily designed
as Pimcore Backend UI functionality for tagging and filtering elements. Nevertheless sometimes it can be quite useful to implement custom frontend filtering functionality based on the Pimcore
Tags.
Following code snippets should give you a head start to do so: | Using Pimcore Tags for Filtering in Frontend | [
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] |
https://pimcore.com/docs/platform//Pimcore/Best_Practice/Using_Tags_for_Filtering#preparing-data-for-template | Preparing Data for Template
Preparation of data for your template strongly depends on our template and how you want to visualize the tag hierarchy.
For example you can build a tag tree based on bootstrap treeview.
To do so you can use something similar to following snippets:
<?php
//prepare data for template in your controller
$tagList = new \Pimcore\Model\Element\Tag\Listing();
//select parent node for tags or use all root tags.
if ($this->getParam("node")) {
$tagList->setCondition("parentId = ?", (int) $request->get("node"));
} else {
$tagList->setCondition("ISNULL(parentId) OR parentId = 0");
}
$tagList->setOrderKey("name");
$tags = [];
foreach ($tagList->load() as $tag) {
$tags[] = $this->convertTagToArray($tag, $request->get('tags-filter'));
}
<?php
/**
* Function to convert tags to an array that is expected by bootstrap tree view
*/
protected function convertTagToArray(\Pimcore\Model\Element\Tag $tag, $assignedTagIds)
{
$tagArray = [
"id" => $tag->getId(),
"text" => $tag->getName()
];
$state = [];
$state["checked"] = array_search($tag->getId(), $assignedTagIds) !== false;
$tagArray["state"] = $state;
$children = $tag->getChildren();
foreach ($children as $child) {
$childrenNodes = $this->convertTagToArray($child, $assignedTagIds);
if($this->hasCheckedNodes($childrenNodes)) {
$tagArray["state"]["expanded"] = true;
}
$tagArray['nodes'][] = $childrenNodes;
}
return $tagArray;
}
protected function hasCheckedNodes($nodesArray) {
$it = new \RecursiveIteratorIterator(
new \ParentIterator(new \RecursiveArrayIterator($nodesArray)),
\RecursiveIteratorIterator::SELF_FIRST
);
foreach ($it as $key => $value) {
if ($key == 'state' && $value['checked']) {
return true;
}
}
return false;
}
// template script to set up bootstrap treeview
$tree = $('#filter-tag-tree');
$tree.treeview({data: <?=json_encode($this->tagTree)?>, showCheckbox: true, levels: 1});
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] |
https://pimcore.com/docs/platform//Pimcore/Best_Practice/Using_Tags_for_Filtering#filtering-elements-based-on-tags | Filtering Elements based on Tags
For filtering elements based on tags some advanced queries on the element listing are necessary. Have a look at the following example
for filtering and asset listing. Listings for other elements work the same way.
Important to know:
Tags and their hierarchy are stored in the table tags.
The table tags also has the column idPath which is useful for filtering for tags including their child tags.
Tag assignment to elements is stored in the table tags_assignment.
<?php
public function filterForTags(Asset\Listing $listing, Request $request): Asset\Listing
{
// get tags IDs to filter for - e.g. from request param
$values = $request->get('tags-filter');
$values = is_array($values) ? $values : explode(',', $values);
if($values)
{
$conditionParts = [];
foreach ($values as $tagId) {
//decide if child tags should be considered or not
if ($request->get("considerChildTags") == "true") {
$tag = \Pimcore\Model\Element\Tag::getById($tagId);
if ($tag) {
//get ID path of tag or filtering the child tags
$tagPath = $tag->getFullIdPath();
$conditionParts[] = "id IN (
SELECT cId FROM tags_assignment INNER JOIN tags ON tags.id = tags_assignment.tagid
WHERE
ctype = 'asset' AND
(id = " . (int) $tagId . " OR idPath LIKE " . $listing->quote(Db::get()->escapeLike($tagPath) . "%") . ")
)";
}
} else {
$conditionParts[] = "id IN (
SELECT cId FROM tags_assignment WHERE ctype = 'asset' AND tagid = " . (int) $tagId .
")";
}
}
if (count($conditionParts) > 0) {
$condition = implode(" AND ", $conditionParts);
$listing->addConditionParam($condition);
}
}
return $listing;
}
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https://pimcore.com/docs/platform//Pimcore/Best_Practice/Working_With_Runtime_Cache#working-with-runtime-cache | Working With Runtime Cache
Pimcore heavily uses runtime cache to cache API results for performance reasons. However, it is very crucial to understand that how to deal with cached results so that correct data should utilized from the API. Let's take few examples to understand similar situations:
//Delete item from the list
$list = new \Pimcore\Model\DataObject\Myclassname\Listing;
//or
$list = new \Pimcore\Model\Document\Listing;
//or
$list = new \Pimcore\Model\Asset\Listing;
$list->load();
$list->current()->delete(); //delete current item from list
$list->load(); //call load again to reset the runtime cache
foreach ($list as $element) {
...
}
//using force param to load latest data from database
\Pimcore\Model\DataObject::getById(123) === \Pimcore\Model\DataObject::getById(123) => true
\Pimcore\Model\DataObject::getById(123) === \Pimcore\Model\DataObject::getById(123, ['force' => true]) => false
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https://pimcore.com/docs/platform//Pimcore/Best_Practice#best-practice | Best Practice
:::info
Please note that due to the updating of this part of the documentation, some information is only valid for previous versions of Pimcore.
:::
First of all, Pimcore is more or less a standard Symfony application, so most of the Symfony
best-practices also apply for Pimcore.
It's highly recommended to have a detailed look at them before you deploy a Pimcore application to production.
This section documents definable topics or stories which are too unique or special to fit into the main documentation tree.
In many implementations of Pimcore our partners and community develop features, which can also be useful for other implementations.
The Pimcore core team will release new articles on a regular basis as well.
If you would like to contribute, just submit a new article as a pull request.
See the contribution guideslines
on how to do that. | Best Practice | [
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https://pimcore.com/docs/platform//Pimcore#pimcore | Pimcore
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https://pimcore.com/docs/platform//Pimcore#title:-core-framework | title: Core Framework | title: Core Framework | [
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https://pimcore.com/docs/platform//Pimcore#pimcore-core-framework-documentation | Pimcore Core Framework Documentation
This documentation section provides all information you need to use the Core Framework of Pimcore.
We've aimed this part of the documentation at a developer's audience.
Pimcore provides a fully flexible and extendable platform for managing and exploiting data of any type. The Core Framework is the foundation of the whole platform and provides a lot of basic functionalities.
It gathers four major modules to answer a lot of use cases:
Product Information (PIM) and Master Data Management (MDM)
Digital Asset Management (DAM)
Enterprise Content Management (CMS/UX)
B2C and B2B E-commerce Framework
The system is written in PHP, follows the Model-View-Controller (MVC) pattern and relies on the Symfony Framework.
Pimcore provides the management of three types of elements that cover any kind of data: Documents, Assets and Objects. Following the principle of single-source publishing, each type is saved only once with a single ID that serves as a reference ID whenever it is reused somewhere.
The Core Framework comes with several core features that can be fully adapted or extended with additional bundles (see the Pimcore Extensions section for existing extensions maintained by Pimcore). | Pimcore Core Framework Documentation | [
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https://pimcore.com/docs/platform//Pimcore#documentation-overview | Documentation Overview
The Core Framework documentation is divided into three sections that aim to guide the reader through its first use of the platform:
See the Getting Started section for an overview of the Core Framework or information about the installation process and the MVC pattern integration within Pimcore.
See the Element Types section for details about managed elements in Pimcore and associated actions.
See the Platform Topics section for documentation about all features implemented within Pimcore.
| Documentation Overview | [
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https://pimcore.com/docs/platform//Pimcore#getting-started | Getting Started
Overview
Getting Started
MVC
| Getting Started | [
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https://pimcore.com/docs/platform//Pimcore#element-types | Element Types
Documents - Managing Web Pages
Assets - Media Library / Digital Asset Management
Objects - Custom Data Models / Entities, PIM / MDM
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https://pimcore.com/docs/platform//Pimcore#platform-topics | Platform Topics
Multilanguage & Localization
Workflow Management
Tools & Features
Development Tools & Details
Extending & Advanced Topics
Deployment
Administration
Installation & Upgrade
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] |
https://pimcore.com/docs/platform//Pimcore#additional-resources-for-getting-started-with-pimcore | Additional resources for getting started with Pimcore
Pimcore Demo Application: See Pimcore in action and also use it as a blueprint application
for your own implementations.
Pimcore Academy: The training platform Pimcore Academy offers on-demand video courses
about many Pimcore topics.
| Additional resources for getting started with Pimcore | [
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https://pimcore.com/docs/platform//Platform_Version/Setup#setup-and-working-with-platform-versions | Setup and working with Platform Versions
On technical level, the Platform Version comes as a composer dependency and can be added to the projects composer.json. | Setup and working with Platform Versions | [
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https://pimcore.com/docs/platform//Platform_Version/Setup#setup-platform-version | Setup Platform Version | Setup Platform Version | [
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https://pimcore.com/docs/platform//Platform_Version/Setup#setup-with-existing-project | Setup with existing project
Use following steps to setup Pimcore Platform Version in an existing project:
Add Pimcore enterprise repository to project and setup authentication token (if not already done).
Install platform version via composer require pimcore/platform-version and follow steps described
below to install further Pimcore modules.
| Setup with existing project | [
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https://pimcore.com/docs/platform//Platform_Version/Setup#setup-with-new-project | Setup with new project
Use following steps to setup Pimcore Platform Version for a new project:
Get skeleton via composer create-project pimcore/skeleton my-project.
Rename composer.enterprise.json to composer.json (overwrite existing).
Add/update your enterprise repository to the composer.json with composer config repositories.enterprise composer https://repo.pimcore.com/<YOUR_REPOS>/.
Add your enterprise token to composer with composer config --global --auth http-basic.enterprise.repo.pimcore.com token <YOUR_TOKEN>
(if not already done).
Run composer update to install necessary additional requirements for Pimcore Platform Version and follow steps described
below to install further Pimcore modules.
:::info
<YOUR_REPOS> and <YOUR_TOKEN> you will get from your sales contact person at Pimcore.
::: | Setup with new project | [
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https://pimcore.com/docs/platform//Platform_Version/Setup#working-with-platform-version | Working with Platform Version
Once Pimcore Platform Version is set up, you can add included Pimcore modules with the matching version and update Pimcore
modules installed in the project. | Working with Platform Version | [
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https://pimcore.com/docs/platform//Platform_Version/Setup#install-tracked-pimcore-modules | Install tracked Pimcore modules
Use following command to install additional Pimcore modules to the project: composer require pimcore/<MODULE>.
Eventually adding :* as version contraint helps if composer doesn't find a matching version of the module.
| Install tracked Pimcore modules | [
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https://pimcore.com/docs/platform//Platform_Version/Setup#update-pimcore-modules | Update Pimcore modules | Update Pimcore modules | [
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] |
https://pimcore.com/docs/platform//Platform_Version/Setup#update-pimcore-modules-to-new-bugfix-versions | Update Pimcore modules to new bugfix versions
Bugfix versions of Pimcore modules can be installed within a Platform Version via composer defaults.
composer update will install most up-to-date bugfix versions of all tracked Pimcore modules. | Update Pimcore modules to new bugfix versions | [
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https://pimcore.com/docs/platform//Platform_Version/Setup#update-to-new-platform-version | Update to new Platform Version
To update to a new Pimcore Platform version, use the command composer update pimcore/platform-version:2023.1.
Eventually adding pimcore/* is necessary for composer to resolve pimcore repository versions properly.
| Update to new Platform Version | [
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https://pimcore.com/docs/platform//Platform_Version/Release_Notes/2023.1#release-2023.1 | Release 2023.1
Here you will find all the important new features and release notes of the Platform Version 2023.1 release. | Release 2023.1 | [
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https://pimcore.com/docs/platform//Platform_Version/Release_Notes/2023.1#important-notes | Important Notes
This release is a major release and contains Pimcore Core Framework 11 as well as updates for all the core extensions to be compatible. | Important Notes | [
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https://pimcore.com/docs/platform//Platform_Version/Release_Notes/2023.1#most-important-new-features-and-improvements | Most Important New Features and Improvements
For Pimcore Core Framework, Version 11 is all about:
Advancing code quality and structure.
Updating third-party dependencies of Pimcore.
Refactoring to reduce technical debt.
And it also adds some features like:
An abstraction layer for our WYSIWYG editor that allows you to integrate the WYSIWYG editors of your choice.
We adopt the TinyMCE as our default implementation.
An implementation of Gotenberg, a highly versatile PDF generator for generating Asset document previews of Office documents (like Word, Excel, and PowerPoint) and PDFs in the Web to Print module.
Enhanced extensibility by adding support for custom Document and Asset types.
Also, for all Pimcore core extension versions, the focus is on upgrading dependencies and making them compatible with Pimcore Core Framework again. | Most Important New Features and Improvements | [
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https://pimcore.com/docs/platform//Platform_Version/Release_Notes/2023.1#upgrade-notes | Upgrade Notes
Before updating, have a look at all the upgrade notes relevant to your system:
Pimcore Core Framework Upgrade Guide
and Upgrade Notes
Portal Engine
Datahub
Datahub File Export
Datahub Simple Rest API
Headless Documents
OpenId Connect
Statistics Explorer
Customer Management Framework
Advanced Object Search
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] |
https://pimcore.com/docs/platform//Platform_Version/Release_Notes/2023.2#release-2023.2 | Release 2023.2
Here you will find all the important new features and release notes of the Platform Version 2023.2 release. | Release 2023.2 | [
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https://pimcore.com/docs/platform//Platform_Version/Release_Notes/2023.2#most-important-new-features | Most Important New Features | Most Important New Features | [
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https://pimcore.com/docs/platform//Platform_Version/Release_Notes/2023.2#data-quality-management | Data Quality Management
A new Pimcore extension that allows to compute a data quality score for your Data Objects based on customized rules and visualize your data quality score in the Data Objects editor, grid and/or tree.
More Details see Data Quality Management Documentation. | Data Quality Management | [
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https://pimcore.com/docs/platform//Platform_Version/Release_Notes/2023.2#bookmark-lists | Bookmark Lists
As part of the new Backend Power Tools Pimcore extension, the Bookmark Lists allow to create bookmark lists for Assets, Data Objects, Documents and so organize content needed on a regular base.
More Details see Bookmark Lists Documentation. | Bookmark Lists | [
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https://pimcore.com/docs/platform//Platform_Version/Release_Notes/2023.2#pimcore-datahub-webhooks | Pimcore Datahub Webhooks
A new Pimcore extension for the Datahub that allows to send requests to configured subscribers for a variation of events happening in Pimcore (adding, updating, deleting data, workflow transistions).
More Details see Datahub Webhooks Documentation. | Pimcore Datahub Webhooks | [
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https://pimcore.com/docs/platform//Platform_Version/Release_Notes/2023.2#upgrade-notes | Upgrade Notes
Before updating, also have a look at the following upgrade notes if relevant to your system:
Consider the upgrade of Portal Engine to version 3.1.0, which will result in a Elastic Search index structure change. Details see corresponding upgrade notes.
| Upgrade Notes | [
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] |
https://pimcore.com/docs/platform//Platform_Version/Release_Notes#release-notes | Release Notes
Following list inlcudes all available Platform Version release notes:
2023.1
2023.2
| Release Notes | [
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https://pimcore.com/docs/platform//Platform_Version#platform_version | Platform_Version
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https://pimcore.com/docs/platform//Platform_Version#title:-platform-version | title: Platform Version | title: Platform Version | [
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https://pimcore.com/docs/platform//Platform_Version#pimcore-platform-version | Pimcore Platform Version
The Pimcore platform consists of the Pimcore Core Framework and Core Extensions that can be added for your needs.
Each module (Core Framework and the Core Extensions) has its own repository, its own version and is released indepedently.
The dependencies and compatibilities of the modules are defined in their composer.json file. Thus, it is possible to
select specific and compatible module versions and update each of them separately.
As all the modules add up to significant number, it might become a challenge to keep track of every module, their releases
and features, and to find the optimal combination of versions of all the needed modules.
This is, where the Pimcore Platform Version comes in. It is an additional enterprise service provided by Pimcore and
provides a set of specific versions of all Pimcore modules which work together as they are compatible and explicitly
tested with each other and verified by Pimcore.
The Pimcore Platform Version has its own version and is released every several months. Each release comes with combined
release notes of all modules.
Also, the Pimcore documentations and our demos are based on the Pimcore Platform Version. | Pimcore Platform Version | [
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] |
https://pimcore.com/docs/platform//Platform_Version#benefits-in-a-nutshell | Benefits in a nutshell
Set of specific versions of all Pimcore modules which work together.
Explicitly tested and verifyed by Pimcore.
Combined release notes of all modules for every Platform Version release.
Pimcore documentation is based on Platform Version.
| Benefits in a nutshell | [
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https://pimcore.com/docs/platform//Platform_Version#versioning-schema-and-release-cycles | Versioning Schema and Release Cycles
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https://pimcore.com/docs/platform//Platform_Version#key-rules: | Key rules:
Update major versions of modules
Major module version updates are only allowed with a major Platform Version.
Major Platform Version will be released once per year (2023.1, 2024.1, 2025.1, ...).
Update minor versions of modules
Minor module versions will be updated with new minor Platform Versions.
Update bugfix versions of modules
Bugfix versions can be updated implicitly within a Platform Minor Version via a composer update.
For example: within 2023.1 it can install pimcore/pimcore:11.0.1 and pimcore/pimcore:11.0.2 as soon as it is
released, but not pimcore/pimcore:11.1.0.
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https://pimcore.com/docs/platform//Platform_Version#further-reads | Further Reads
Setup and working with Platform Versions
Release Notes
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https://pimcore.com/docs/platform//Portal_Engine/Installation/Upgrade#upgrade-information | Upgrade Information
Following steps are necessary during updating to newer versions. | Upgrade Information | [
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https://pimcore.com/docs/platform//Portal_Engine/Installation/Upgrade#upgrade-to-3.1.0 | Upgrade to 3.1.0
(only relevant if not already upgraded to version 2.6.0) [Indexing] - Filters based on the asset metadata with relations
to objects which have localized fields are now indexed with all the localized values. The index structure is therefore
changed (from single string to array) and it is necessary to run the migration that recreates all the indexes after
updating to 3.1.0.
| Upgrade to 3.1.0 | [
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https://pimcore.com/docs/platform//Portal_Engine/Installation/Upgrade#upgrade-to-3.0.0 | Upgrade to 3.0.0
BEFORE UPGRADE: First upgrade to last 2.5 version and make sure all migrations are executed properly.
BEFORE UPGRADE: Upgrade directly to 3.1.0 if you already upgraded to 2.6 versions.
BEFORE UPGRADE: Activate Generate Type Declarations for PortalUser and PortalUserGroup classes and save them to
regenerate the php class files. This will break portals until portal engine is upgraded to v3.0.0 via composer.
Removed Pimcore 6.9 support.
If you are upgrading to pimcore 11, then please install the pimcore/admin-ui-classic-bundle bundle.
[Security] Removed support of old authentication system (not setting security.enable_authenticator_manager: true in security.yaml)
and related Guard authenticators.
[OpenId Connect] Bumped required version of openid-connect bundle to ^1.1.
[Elasticsearch] Removed ES 6 and ES 7 support, added ES 8 support.
[Elasticsearch] Changed elasticsearch client configuration.
Adapted installation process, see docs for details.
Added additional parameter for the DataPoolConfigInterface in methods of WorkspaceServiceInterface, SearchServiceInterface, FolderService and PreConditionService.
[Indexing] Added option to re-create index or update index via settings page
[DataObject][Layout] - fixed layout of Field Container (vbox is now vertical and hbox horizontal layout)
[Security] Changed the return type of Pimcore\Bundle\PortalEngineBundle\Service\Security\DirectEditPermissionService::getUserId to null|int.
[Translations] Introduced separate translation domain for frontend translations - portal-engine-frontend.
[Translations] Implemented PO Editor workflow for shared and admin translations (they are now under src\Resources\translations in .yaml format).
| Upgrade to 3.0.0 | [
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https://pimcore.com/docs/platform//Portal_Engine/Installation/Upgrade#upgrade-to-2.6.0 | Upgrade to 2.6.0
[Indexing] - Filters based on the asset metadata with relations to objects which have localized fields are now indexed with all the localized values.
The index structure is therefore changed (from single string to array) and it is necessary to run the migration that recreates all the indexes after updating to 2.6.0.
| Upgrade to 2.6.0 | [
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https://pimcore.com/docs/platform//Portal_Engine/Installation/Upgrade#upgrade-to-2.3 | Upgrade to 2.3
From now on, out of the box Statistics Explorer data sources and trackers use same ES configuration as portal engine itself.
If you want to change that, you need to overwrite service definition of pimcore.portal_engine.statistics_explorer.client_factory
| Upgrade to 2.3 | [
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] |
https://pimcore.com/docs/platform//Portal_Engine/Installation/Upgrade#upgrade-to-2.1.0 | Upgrade to 2.1.0
Execute all migrations of the bundle.
| Upgrade to 2.1.0 | [
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] |
https://pimcore.com/docs/platform//Portal_Engine/Installation/Upgrade#upgrade-to-2.0.0 | Upgrade to 2.0.0
First upgrade to last 1.x version and make sure all migrations are executed properly.
Migrate Pimcore to Pimcore 6.9
Migrate controller references to new naming scheme (e.g. ), for example by using migration command
bin/console migration:controller-reference
Add following line to your firewalls configuration in the security.yml of your app after the pimcore_admin firewall.
security:
firewalls:
pimcore_admin:
# ...
portal_engine: '%pimcore_portal_engine.firewall_settings%'
Clear Pimcore Caches (bin/console pimcore:cache:clear)
Elasticsearch mapping has changed to fix deprecations. Rebuild your index by running following commands:
bin/console portal-engine:update:index-recreate
bin/console portal-engine:update:process-index-queue
| Upgrade to 2.0.0 | [
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https://pimcore.com/docs/platform//Portal_Engine/Installation#installation-of-portal-engine | Installation of Portal Engine
The installation of the Portal Engine follows standard composer procedures.
There are a couple of things to consider though. | Installation of Portal Engine | [
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https://pimcore.com/docs/platform//Portal_Engine/Installation#prerequisites | Prerequisites | Prerequisites | [
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https://pimcore.com/docs/platform//Portal_Engine/Installation#system-requirements | System Requirements
Before installing the Portal Engine, please be aware of the following requirements:
PHP >= 8.0
Pimcore >= 10.5
Elasticsearch 8
Mercure (optional for Pimcore Direct Edit)
MySQL/MariaDB innodb_default_row_format option needs to be set to "DYNAMIC" (which is the default value)
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] |
https://pimcore.com/docs/platform//Portal_Engine/Installation#required-bundles | Required Bundles
The Portal Engine requires a couple of bundles which need to be configured and installed first:
Enterprise Metadata Bundle
Statistics Explorer
Direct Edit (optional)
OpenId Connect (optional, if you like to use SSO via OpenID Connect)
Admin UI Classic Bundle (if using Pimcore 11 and it is not installed already on your system)
| Required Bundles | [
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https://pimcore.com/docs/platform//Portal_Engine/Installation#installation | Installation
As soon as all prerequisites are met, installation follows standard composer and Pimcore procedure, depending on the version you're working with: | Installation | [
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https://pimcore.com/docs/platform//Portal_Engine/Installation#for-pimcore->=-10.5 | For Pimcore >= 10.5
Follow the three steps below:
Install the required dependencies:
composer require pimcore/portal-engine
Make sure the bundle is enabled in the config/bundles.php file. The following lines should be added:
use Pimcore\Bundle\PortalEngineBundle\PimcorePortalEngineBundle;
// ...
return [
// ...
// make sure required bundles are added before to that list
// ...
PimcorePortalEngineBundle::class => ['all' => true],
// ...
];
Install the bundle:
bin/console pimcore:bundle:install PimcorePortalEngineBundle
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] |
https://pimcore.com/docs/platform//Portal_Engine/Installation#for-older-versions | For Older Versions
Please run the following commands instead:
composer require pimcore/portal-engine
# if on Pimcore 10.5 enable bundle before installing
bin/console pimcore:bundle:enable PimcorePortalEngineBundle
bin/console pimcore:bundle:install PimcorePortalEngineBundle
| For Older Versions | [
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] |
https://pimcore.com/docs/platform//Portal_Engine/Installation#setup-elasticsearch | Setup Elasticsearch
Next step is to connect Elasticsearch to the Portal Engine. Elasticsearch client configuration takes place via
Pimcore Elasticsearch Client Bundle and has two parts:
Configuring an Elasticsearch client.
Define the client to be used by Portal Engine.
# Configure an Elasticsearch client
pimcore_elasticsearch_client:
es_clients:
default:
hosts: ['elastic:9200']
username: 'elastic'
password: 'somethingsecret'
logger_channel: 'pimcore.elasicsearch'
# Define the client to be used by Portal Engine
pimcore_portal_engine:
index_service:
es_client_params:
es_client_name: default # default is default value here, just need to be specified when other client should be used.
For further configuration options of the client (like authentication) have a look at
Pimcore Elasticsearch Client Bundle.
By default, all data sources and trackers for statistics tracking based on Statistics Explorer
also use the Elasticsearch client defined in pimcore_portal_engine section. To change that, please overwrite the service definitions for the corresponding trackers and datasources. | Setup Elasticsearch | [
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https://pimcore.com/docs/platform//Portal_Engine/Installation#define-index-prefix | Define Index Prefix
To avoid duplicate names or index interferences in Elasticsearch, it is necessary to define an index name prefix, which is added to all Elasticsearch indices created by Portal Engine. Default one is portalengine_.
This can be done by defining following parameter:
parameters:
pimcore_portal_engine.elasticsearch.index_prefix: 'portalengine_' # Prefix for all index names created by Portal Engine
| Define Index Prefix | [
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] |
https://pimcore.com/docs/platform//Portal_Engine/Installation#configure-symfony-firewall | Configure Symfony firewall
To configure the Symfony firewall for the portals, add following line to your firewalls configuration
in the security.yml of your app after the pimcore_admin firewall.
security:
firewalls:
pimcore_admin:
# ...
portal_engine: '%pimcore_portal_engine.firewall_settings%'
Of course, it is also possible to customize the firewall settings for the portals by defining your custom settings instead
of using the provided parameter. But, this is not recommended and might break in future versions of the Portal Engine
(because Portal Engine does changes at the firewall configuration)!
IMPORTANT
If you need to exclude certain routes from the firewall and make them accessible without Portal Engine login
(like for example for the open id connect integration for Pimcore backend), you can specify these routes in following
configuration.
pimcore_portal_engine:
custom_public_routes:
- pimcore_openidconnect_buttoninjection_script
| Configure Symfony firewall | [
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https://pimcore.com/docs/platform//Portal_Engine/Installation#commands-after-installation | Commands after Installation
It is recommended to run following commands after installation (at least) once:
./bin/console portal-engine:update:index-recreate
./bin/console portal-engine:update:process-index-queue --processes=5
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https://pimcore.com/docs/platform//Portal_Engine/Installation#follow-up-configuration | Follow-up Configuration
Portal Engine needs the following commands up and running permanently or regularly. | Follow-up Configuration | [
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] |
https://pimcore.com/docs/platform//Portal_Engine/Installation#index-updating-queue-cronjob | Index Updating Queue Cronjob
It is necessary to update the elastic search index on a regular basis. This can be done either via a command or
via the Symfony messaging queue. | Index Updating Queue Cronjob | [
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https://pimcore.com/docs/platform//Portal_Engine/Installation#command-based | Command Based
For command based queue processing, add the following cronjob to your crontab.
# it is ok to run it once a minute as it will be locked by a Symfony lock
* * * * * php /path/to/your/app/bin/console portal-engine:update:process-index-queue
# if needed it is possible to execute this with multiple parallel processes too
* * * * * php /path/to/your/app/bin/console portal-engine:update:process-index-queue --processes=4
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] |
https://pimcore.com/docs/platform//Portal_Engine/Installation#symfony-messenger-based | Symfony Messenger Based
For Symfony Messenger based queue processing, at least following configuration needs to be done in Symfony configuration:
pimcore_portal_engine:
messenger_queue_processing:
activated: true
If activated, the processing is kicked off automatically with the portal_engine.index_update_queue_dispatching maintenance task.
In addition to that, following settings are available, which all have meaningful default values:
worker_count: Count of maximum parallel worker messages for queue processing
worker_item_count: Count of items processed per worker message.
worker_count_lifetime: Lifetime of tmp store entry for current worker count entry. After lifetime, the value will be cleared.
See also next point for setting up the Symfony Messenger messaging queue. | Symfony Messenger Based | [
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https://pimcore.com/docs/platform//Portal_Engine/Installation#messaging-queue | Messaging Queue
Set up the Symfony Messenger messaging queue like described in the
Background Processes chapter. | Messaging Queue | [
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] |
https://pimcore.com/docs/platform//Portal_Engine/Installation#(optional)-multi-node-setup | (optional) Multi-Node setup
When setting up the Portal Engine in a multi node setup, please first follow Pimcore instructions for multi-node setup
and shared storages.
In addition to the Pimcore instructions also consider /var/tmp/portal-engine/downloads which needs to be a shared tmp
folder and can be configured via flysystem configuration:
flysystem:
storages:
pimcore.portalEngine.download.storage:
adapter: 'local'
visibility: private
options:
directory: '%kernel.project_dir%/var/tmp/portal-engine/downloads'
| (optional) Multi-Node setup | [
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https://pimcore.com/docs/platform//Portal_Engine/Installation#style-settings-feature | Style Settings Feature
If you are using the style settings feature
the location public/var/portal-engine needs to be shared along the nodes.
It contains some configuration files for webpack setup and customized frontend builds
for portals that are using the style settings feature. | Style Settings Feature | [
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] |
https://pimcore.com/docs/platform//Portal_Engine/Administration_of_Portals/Configuration/Portal_Setup_Wizard#portal-setup-wizard | Portal Setup Wizard
The portal engine ships with a wizard to support with initial portal setup. It helps to create the initial document
structure and setting the most important settings for the portal and each added data pool. Thus, it is highly
recommended using it for starting a new portal.
Once the wizard created all the documents, detail configuration and modification can be done directly in the created
documents.
The wizard does not support reopen and modifying existing portal configurations. | Portal Setup Wizard | [
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https://pimcore.com/docs/platform//Portal_Engine/Administration_of_Portals/Configuration/Data_Pool_Configurations/Asset_Data_Pools#asset-data-pool | Asset Data Pool
The asset data pool allows integrating Pimcore assets into a portal. Configurations are available for the grid
and the detail page. | Asset Data Pool | [
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https://pimcore.com/docs/platform//Portal_Engine/Administration_of_Portals/Configuration/Data_Pool_Configurations/Asset_Data_Pools#grid-configuration | Grid Configuration | Grid Configuration | [
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https://pimcore.com/docs/platform//Portal_Engine/Administration_of_Portals/Configuration/Data_Pool_Configurations/Asset_Data_Pools#workspace-definition | Workspace Definition
The workspace concept similar to the workspace concept for defining permissions of Pimcore backend users. Workspaces
define the visible content and what operations should be allowed for the data pool. The definition is based on folders,
by default nothing is visible.
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https://pimcore.com/docs/platform//Portal_Engine/Administration_of_Portals/Configuration/Data_Pool_Configurations/Asset_Data_Pools#pre-condition-service | Pre Condition Service
The pre condition service is a custom extension point that allows further restricting displayed assets of the data pool.
Services can be added with custom services, see PreCondition Service
for details. | Pre Condition Service | [
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-0.04801257699728012,
0.33075979351997375,
0.19520162045955658,
-0.20924215018749237,
-0.24753813445568085,
0.2866252660751343,
0.3425675630569458,
0.11572308093309402,
-0.2397085279226303,
-0.24375899136066437
] |
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