PHP API Client for Matej recommendation engine

Installation

Matej API client library is installed using Composer. Please be aware you must properly set-up autoloading in your project first.

We use HTTPlug abstraction so that the library is not hard coupled to any specific HTTP library, allowing you to use HTTP library which fits your needs (or maybe HTTP library you already use).

This means that besides the lmc/matej-client library itself you must install a package which provides php-http/client-implementation - see list of supported clients and adapters.

If you, for example, want to use Guzzle 6 as the underlying HTTP library, install the package like this:

$ composer require lmc/matej-client php-http/guzzle6-adapter

Or if you want to use Guzzle 5 (note that unlike guzzle6-adapter, the one does not come with guzzlehttp/psr7, so you must install it as well):

$ composer require lmc/matej-client php-http/guzzle5-adapter guzzlehttp/psr7

Or if you want to use cURL client:

$ composer require lmc/matej-client php-http/curl-client guzzlehttp/psr7

Usage

To start using Matej you will need your account id (database name) and secret API key - both of them must be obtained from LMC R&D team.

First create an instance of Matej object:

use Lmc\Matej\Matej; // in all following examples namespaces and use statements are ommited from the code samples

$matej = new Matej('accountId', 'apikey');

Now you can use request() method to use builders, which are available for each Matej endpoint and which will help you to assemble the request. Each request builder accepts via its methods instances of various Command(s) objects (see Lmc\Matej\Model\Command namespace). Refer to Matej documentation, code-completion in your IDE or examples below for more information.

Once finished with building the request, use send() method to execute it and retrieve the response:

$response = $matej->request()
    ->events()
    ->addInteraction(\Lmc\Matej\Model\Command\Interaction::withItem('purchases', 'user-id', 'item-id'))
    ->addUserMerge(...)
    ...
    ->send();

See further below for examples of building request for each endpoint.

Processing the response

Once $response is filled with data from Matej (as in example above), you can now work with the response like this:

echo 'Number of commands: ' . $response->getNumberOfCommands() . "\n";
echo 'Number of successful commands: ' . $response->getNumberOfSuccessfulCommands() . "\n";
echo 'Number of failed commands: ' . $response->getNumberOfFailedCommands()() . "\n";

// Use $response->isSuccessful() to check whether all of the commands send in request were successful or not:
if (!$response->isSuccessful()) {
    echo 'At least one command response was not succesful!';
}

// Iterate over getCommandResponses() to get response for each command passed to the builder.
// Commands in the response are present in the same order as they were added to the requets builder.
foreach ($response->getCommandResponses() as $commandResponse) {
    if ($commandResponse->isSuccessful()) {
        // Methods $commandResponse->getData(), ->getMessage() and ->getStatus() are available
    } else {
        // Log error etc.
    }
}

Recommendation, Sorting and Item Properties endpoints have syntax sugar shortcuts, which makes processing responses easier. See below for detailed examples.

Item properties setup (to setup your Matej's database)

$matej = new Matej('accountId', 'apikey');

// Create new item property in database:
$response = $matej->request()
    ->setupItemProperties()
    ->addProperty(ItemPropertySetup::timestamp('valid_to'))
    ->addProperty(ItemPropertySetup::string('title'))
    ->send();

// Get list of item properties that are defined in Matej
$response = $matej->request()
    ->getItemProperties()
    ->send();

$properties = $response->getData(); // this is shortcut for $response->getCommandResponse(0)->getData()

// Delete item property from database:
$response = $matej->request()
    ->deleteItemProperties()
    ->addProperty(ItemPropertySetup::timestamp('valid_from'))
    ->addProperty(ItemPropertySetup::string('title'))
    ->send();

Reset database

Database of test accounts (those ending with -test) could be reset via the API. Using this you can delete all data including database setup (item properties).

$matej = new Matej('accountId', 'apikey');

$response = $matej->request()
    ->resetDatabase()
    ->send();

var_dump($response->isSuccessful()); // true on success

Reset data

Data (users and items) of test accounts (those ending with -test) could be reset via the API. Using this you can delete all data while keeping database setup (item properties, scenarios).

$matej = new Matej('accountId', 'apikey');

$response = $matej->request()
    ->resetData()
    ->send();

var_dump($response->isSuccessful()); // true on success

Send Events data to Matej

You can use events() builder for sending batch of following commands to Matej:

Interaction via addInteraction() - to send information about interaction between user and item
ItemProperty via addItemProperty() - to update item data stored in Matej database
UserMerge via addUserMerge() - to merge interactions of two users and delete the source user

You can mix different command types in the same request. You can send up to 1 000 commands in a single request.

$matej = new Matej('accountId', 'apikey');

$response = $matej->request()
    ->events()
    // Add interaction between user and item
    ->addInteraction(Interaction::withItem('purchases', 'user-id', 'item-id'))
    ->addInteractions([/* array of Interaction objects */])
    // Update item data
    ->addItemProperty(ItemProperty::create('item-id', ['valid_from' => time(), 'title' => 'Title']))
    ->addItemProperties([/* array of ItemProperty objects */])
    // Merge user
    ->addUserMerge(UserMerge::mergeInto('target-user-id', 'source-user-id', 1629361884))
    ->addUserMerges([/* array of UserMerge objects */])
    ->send();

This endpoint has rate-limiting implemented. We constantly monitor workload on backend systems, and when the number of events in the queue crosses certain threshold, Matej API will start returning 429 errors. If that happens, you should resend the entire request later, as no commands were processed.

This has been implemented so that we don't lose any pushed data. Simple sleep of 100ms should be enough.

Merging users

You can merge users using the UserMerge command. The first argument is the target user ID and the second argument is the ID of source user. When you merge two users, Matej will move all interactions and history of the source user and assign them to the target user. The source user is then removed.

Optionally, you may send a third argument with a timestamp of when the merge happened.

The timestamp will be required in the future. We reccommend you to send it which will make future upgrades of the Matej client easier for you.

Requesting recommendations

You can request 4 types of recommendations from Matej. Each of them is represented by a specific recommendation command class:

Items to user - UserItemRecommendation
Items to item - ItemItemRecommendation
Users to user - UserUserRecommendation
Users to item - ItemUserRecommendation

For example, you can get recommendations for a single user using recommendation() builder. You can attach most recent interaction and user merge event to the request so that they're taken into account when providing recommendations.

$matej = new Matej('accountId', 'apikey');

$response = $matej->request()
    ->recommendation(UserItemRecommendation::create('user-id', 'test-scenario'))
    ->setInteraction(Interaction::withItem('purchases', 'user-id', 'item-id')) // optional
    ->setUserMerge(UserMerge::mergeInto('user-id', 'source-id')) // optional
    ->send();

$recommendations = $response->getRecommendation()->getData();

You can also set more granular options of the recommendation command and overwrite Matej default behavior on per-request basis.

Each type of recommendation command supports different customization options. See table below.

Available recommendation attributes

Attribute	Methods	UserItemRecommendation	UserUserRecommendation	ItemItemRecommendation	ItemUserRecommendation
scenario	in constructor	✅	✅	✅	✅
count	`setCount`	✅	✅	✅	✅
rotation_rate	`setRotationRate`	✅	✅	❌	❌
rotation_time	`setRotationTime`	✅	✅	❌	❌
hard_rotation	`enableHardRotation`	✅	✅	❌	❌
allow_seen	`setAllowSeen`	✅	❌	❌	✅
min_relevance	`setMinimalRelevance`	`ItemMinimalRelevance`	❌	❌	`UserMinimalRelevance`
filter	`addFilter` `setFilters`	✅	❌	✅	❌
boost_rules	`addBoost` `setBoosts`	✅	❌	✅	❌
model_name	`setModelName`	✅	✅	✅	✅
properties	`addResponseProperty` `setResponseProperties`	✅	❌	✅	❌

$recommendation = UserItemRecommendation::create('user-id', 'test-scenario')
    ->setCount(5)
    ->setRotationRate(1.0)
    ->setRotationTime(3600)
    ->setFilters(['for_recommendation = 1'])
    ->setMinimalRelevance(ItemMinimalRelevance::HIGH())
    ->enableHardRotation()
    // You can further modify which items will be recommended by providing boosting rules.
    // Priority of items matching the query will be multiplied by the value of multiplier:
    ->addBoost(Boost::create('valid_to >= NOW()', 2));

$response = $matej->request()
    ->recommendation($recommendation)
    ->send();

From $response, you can also access rest of the data:

$response = $matej->request()
    ->recommendation($recommendation)
    ->send();

echo $response->getInteraction()->getStatus();    // SKIPPED
echo $response->getUserMerge()->getStatus();      // SKIPPED
echo $response->getRecommendation()->getStatus(); // OK

$recommendations = $response->getRecommendation()->getData();

// var_dump($recommendations):
// array(2) {
//     [0] => object(stdClass)#1 (2) {
//         ["item_id"]  => string(9) "item_id_1"
//     }
//     [1] => object(stdClass)#2 (2) {
//         ["item_id"]  => string(9)  "item_id_2"
//     }
// }

Recommendation response properties

Every item in Matej has its id, and optionally other item properties. These properties can be set up in item properties setup, and you can upload item data in the events request. This has major benefit because you can request these properties to be returned as part of your Recommendation Request.

We call them response properties. They can be specified by calling ->addResponseProperty() method or by calling ->setResponseProperties() method. Following will request an item_id, item_url, item_title:

$recommendation = UserItemRecommendation::create('user-id', 'test-scenario')
    ->addResponseProperty('item_title')
    ->addResponseProperty('item_url');

$response = $matej->request()
    ->recommendation($recommendation)
    ->send();

$recommendedItems = $response->getRecommendation()->getData();

// $recommendedItems is an array of stdClass instances:
//
// array(2) {
//     [0] => object(stdClass)#1 (2) {
//         ["item_id"]  => string(9) "item_id_1"
//         ["item_url"] => string(5) "url_1"
//         ["item_title"] => string(5) "title_1"
//     }
//     [1] => object(stdClass)#2 (2) {
//         ["item_id"]  => string(9)  "item_id_2"
//         ["item_url"] => string(10) "url_2"
//         ["item_title"] => string(10) "title_2"
//     }
// }

If you don't specify any response properties, Matej will return an array of stdClass instances, which contain only item_id property. If you do request at least one response property, you don't need to mention item_id, as Matej will always return it regardless of the properties requested.

If you request an unknown property, Matej will return a BAD REQUEST with HTTP status code 400.

This way, when you receive recommendations from Matej, you don't need to loop the item_id and retrieve further information from your local database. It means, however, that you'll have to keep all items up to date within Matej, which can be done through events request.

Request item sorting for single user

Request item sorting for a single user. You can combine this sorting command with the most recent interaction and user merge event in one request, to make them taken into account when executing the item sorting.

$matej = new Matej('accountId', 'apikey');

$response =  $matej->request()
    ->sorting(ItemSorting::create('user-id', ['item-id-1', 'item-id-2', 'item-id-3']))
    ->setInteraction(Interaction::withItem('purchases', 'user-id', 'item-id')) // optional
    ->setUserMerge(UserMerge::mergeInto('user-id', 'source-id')) // optional
    ->send();

$sortedItems = $response->getSorting()->getData();

From $response, you can also access rest of the data:

$response = $matej->request()
    ->sorting($sorting)
    ->send();

echo $response->getInteraction()->getStatus(); // SKIPPED
echo $response->getUserMerge()->getStatus();   // SKIPPED
echo $response->getSorting()->getStatus();     // OK

$sortedData = $response->getSorting()->getData();

Request batch of recommendations/item sortings

Use campaign() builder to request batch of recommendations and/or item sorting for multiple users. A typical use case for this is generating email campaigns.

$matej = new Matej('accountId', 'apikey');

$response = $matej->request()
    ->campaign()
    // Request item sortings
    ->addSorting(ItemSorting::create('user-id', ['item-id-1', 'item-id-2', 'item-id-3']))
    ->addSortings([/* array of Sorting objects */])
    // Request user-based recommendations
    ->addRecommendation(UserItemRecommendation::create('user-id', 'emailing'))
    ->addRecommendations([/* array of UserRecommendation objects */])
    ->send();

A/B Testing support

Recommendation and ItemSorting commands support optional A/B testing of various models. This has to be set up in Matej first, but once available, you can specify which model you want to use when requesting recommendations or sorting.

This is available for Recommendation, ItemSorting and Campaign requests:

$recommendationCommand = UserItemRecommendation::create('user-id', 'test-scenario')
    ->setModelName('alpha');

$sortingCommand = ItemSorting::create('user-id', ['item-id-1', 'item-id-2', 'item-id-3']);
$sortingCommand->setModelName('beta');

$response = $matej->request()
    ->recommendation($recommendationCommand)
    ->send();

$response = $matej->request()
    ->sorting($sortingCommand)
    ->send();

$response = $matej->request()
    ->campaign()
    ->addRecommendation($recommendationCommand->setModelName('gamma'))
    ->addSorting($sortingCommand->setModelName('delta'))
    ->send();

If you don't provide any model name, the request will be sent without it, and Matej will use default model for your instance.

Typically, you'd select a random sample of users, to which you'd present recommendations and sorting from second model. This way, implementation in your code should look similar to this:

$recommendation = UserItemRecommendation::create('user-id', 'test-scenario');

if ($session->isUserInBucketB()) {
    $recommendation->setModelName('alpha');
}

$response = $matej->request()->recommendation($recommendation)->send();

Model names will be provided to you by LMC.

Forgetting user data (GDPR)

Matej can "forget" user data, either by anonymizing or by deleting them. The right to erasure ("right to be forgotten") is part of General Data Protection Regulation in the European Union and can be implemented on your end using the forget() builder.

There are two ways how to remove user data, but both of them aren't reversible and you will not be able to identify the user ever again:

Preferred way is to anonymize the user, which will randomly generate unique identifiers for all personal data, and change that identifier across all databases and logfiles. This way the users behavior will stay in Matej database, and therefore will continue to contribute to the recommendation model, but you won't be able to identify the user. Thus his profile will be effectively frozen (as no new interactions can come in.) New user id is generated server-side, so there is no going back after issuing the request.
An alternate way is to delete the user, which will wipe their data from all databases in accordance with the Data Protection laws. This may affect the quality of recommendations, as the users behavior will be completely removed from all databases, and therefore their profile will not contribute to the recommendation model anymore.

Usually, though, the user will identify whether they want their data anonymized or deleted, and you have to adhere to their request.

To call the endpoint, use the forget() builder and append the users:

$matej = new Matej('accountId', 'apikey');

$matej->request()
    ->forget()
    ->addUser(UserForget::anonymize('anonymize-this-user-id'))
    ->addUser(UserForget::anonymize('delete-this-user-id'))
    ->addUsers([
        UserForget::anonymize('anonymize-this-user-id-as-well'),
        UserForget::delete('delete-this-user-id-as-well'),
    ])
    ->send()
;

Exceptions and error handling

Exceptions are thrown only if the whole Request to Matej failed (when sending, decoding, authenticating etc.) or if the library is used incorrectly. If the request is successfully delivered to Matej, exception is not thrown even if any (or maybe all) of the submitted commands (which were part of the request) were rejected by Matej.

To check whether the whole Response (ie. all contained command responses) is successful, you thus MUST NOT rely on exceptions (because they won't be thrown - as stated above) but rather use Response::isSuccessful() method - see usage examples above.

If you want to check which individual CommandResponse was successful, you can check its status using CommandResponse::isSuccessful() method.

Exceptions occurring inside Matej API client implements Lmc\Matej\Exception\MatejExceptionInterface. The exception tree is:

Exception	Thrown when
MatejExceptionInterface	Common interface of all Matej exceptions
└ RequestException	Request to Matej errored (see below for troubleshooting howto)
└ AuthorizationException	Request errored as unauthorized
└ ResponseDecodingException	Response contains invalid or inconsistent data
└ LogicException	Incorrect library use - no data passed to request etc.
└ DomainException	Invalid value was passed to domain model

Please note if you inject custom HTTP client (via $matej->setHttpClient()), it may be configured to throw custom exceptions when HTTP request fails. So please make sure this behavior is disabled (eg. http_errors option in Guzzle 6).

Troubleshooting `RequestException`

If RequestException is thrown when doing request to Matej, you may want to read the response body from the server to see the full error originating from Matej, so that you can troubleshoot the cause of the exception.

You can do it like this:

$matej = new Matej('accountId', 'apikey');

try {
    $response = $matej
        ->request()
        ->sorting(/* ... */)
        // ...
        ->send();
} catch (\Lmc\Matej\Exception\RequestException $exception) {
    echo $e->getMessage(); // this will output just HTTP reason phrase, like "Bad Request"
    $serverResponseContents = $exception->getResponse()
        ->getBody()
        ->getContents();

    echo $serverResponseContents; // this will output the full response body which Matej server gave
}

Changelog

For latest changes see CHANGELOG.md file. We follow Semantic Versioning.

Releasing new version

See RELEASE.md for step-by-step how to release new client version.

Running Tests

For each pull-request, unit tests, as well as static analysis and codestyle checks, must pass.

To run all those checks execute:

$ composer all

In case of codestyle violation you can run this command which will try to automatically fix the codestyle:

$ composer fix

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README.md

README.md

PHP API Client for Matej recommendation engine

Installation

Usage

Processing the response

Item properties setup (to setup your Matej's database)

Reset database

Reset data

Send Events data to Matej

Merging users

Requesting recommendations

Available recommendation attributes

Recommendation response properties

Request item sorting for single user

Request batch of recommendations/item sortings

A/B Testing support

Forgetting user data (GDPR)

Exceptions and error handling

Troubleshooting `RequestException`

Changelog

Releasing new version

Running Tests

Files

README.md

Latest commit

History

README.md

File metadata and controls

PHP API Client for Matej recommendation engine

Installation

Usage

Processing the response

Item properties setup (to setup your Matej's database)

Reset database

Reset data

Send Events data to Matej

Merging users

Requesting recommendations

Available recommendation attributes

Recommendation response properties

Request item sorting for single user

Request batch of recommendations/item sortings

A/B Testing support

Forgetting user data (GDPR)

Exceptions and error handling

Troubleshooting RequestException

Changelog

Releasing new version

Running Tests

Troubleshooting `RequestException`