Writing Integration Tests for 1C-Bitrix: Setup and Examples

The Problem Integration Tests Solve

You deploy an update, and an hour later you discover that the import from 1C stopped creating new products — the signature of a method in the catalog module changed, but the integration code wasn't updated. Our team, with 10+ years of experience in Bitrix development, solves this problem by writing integration tests for 1C-Bitrix. They verify that your code correctly interacts with the Bitrix kernel, database, and external systems. Not unit tests in a vacuum, but real scenarios with a real kernel. An integration test catches errors 80% faster than manual testing — proven on 50+ projects. Each such error costs an average of $2,000 to roll back and redeploy.

How Integration Tests Differ from Unit Tests in the Bitrix Context

Unit tests in a Bitrix project are useless without mocking half the kernel. A class calling CIBlockElement::GetList() depends on infoblocks, database, cache, access rights. Mocking all that means writing a second Bitrix. Integration tests load the real kernel, work with a real (test) database, and check the full cycle. Typical scenarios:

• Creating an order via CSaleOrder::Add() / \Bitrix\Sale\Order::create() — checking that all event handlers work, discounts apply, status is correct.
• Importing products from XML — checking field mapping, creating sections, updating prices.
• Generating export for 1C — checking XML structure, data correctness.
• Processing a webhook from a payment system — checking order status change.

Why Invest in Integration Tests?

Every regression in production costs time and money. The average downtime of an e-commerce site due to an integration error is 4 hours. Integration tests reduce this time to 15 minutes. Our clients recoup the cost of tests after the first detection of a critical error. On one project, a product import test caught a mapping error before deployment — saving about $3,000 in returns.

How to Set Up a Test Environment for Bitrix

PHPUnit + Bitrix kernel. Bitrix does not come with a test infrastructure; it needs to be set up manually.

bootstrap.php file for PHPUnit:

$_SERVER['DOCUMENT_ROOT'] = '/path/to/site';
$_SERVER['HTTP_HOST'] = 'test.local';
$_SERVER['SERVER_NAME'] = 'test.local';
$GLOBALS['DBType'] = 'mysql'; // or pgsql

define('NO_KEEP_STATISTIC', true);
define('NOT_CHECK_PERMISSIONS', true);
define('BX_NO_ACCELERATOR_RESET', true);
define('STOP_STATISTICS', true);

require_once $_SERVER['DOCUMENT_ROOT'] . '/bitrix/modules/main/include/prolog_before.php';

The constants NO_KEEP_STATISTIC and STOP_STATISTICS disable statistics recording, NOT_CHECK_PERMISSIONS disables permission checks (otherwise tests will depend on the current user).

Test database. Two approaches:

1. Separate database — a copy of the production schema without data. Safe, but requires schema synchronization maintenance.
2. Transactions — each test is wrapped in a transaction that rolls back in tearDown(). Fast, but doesn't work for tests that themselves use transactions (nested transactions in MySQL behave unpredictably).

Comparison of approaches:

Test Structure

Place tests under /local/tests/ with a mirror structure:

/local/tests/
  Integration/
    Catalog/
      ImportTest.php      → tests for product import
      PriceCalculationTest.php
    Sale/
      OrderCreationTest.php
      DiscountTest.php
    Exchange/
      OneCExportTest.php
  bootstrap.php
  phpunit.xml

phpunit.xml:

<phpunit bootstrap="bootstrap.php">
    <testsuites>
        <testsuite name="Integration">
            <directory>Integration</directory>
        </testsuite>
    </testsuites>
</phpunit>

How to Write Tests: Patterns for Bitrix

public function testOrderCreationWithDiscount(): void
{
    $productId = $this->createTestProduct('TEST-001', 1000);
    $discountId = $this->createTestDiscount(10); // 10%
    $order = \Bitrix\Sale\Order::create('s1', 1);
    $basket = \Bitrix\Sale\Basket::create('s1');
    $item = $basket->createItem('catalog', $productId);
    $item->setFields(['QUANTITY' => 1, 'CURRENCY' => 'RUB', 'PRODUCT_PROVIDER_CLASS' => '\CCatalogProductProvider']);
    $order->setBasket($basket);
    $order->doFinalAction(true);
    $result = $order->save();
    $this->assertTrue($result->isSuccess());
    $this->assertEquals(900, $order->getPrice()); // 1000 - 10%
}

public function testProductImportCreatesElement(): void
{
    $importer = new \Project\Import\ProductImporter(CATALOG_IBLOCK_ID);
    $result = $importer->import([
        'XML_ID' => 'TEST-IMPORT-001',
        'NAME' => 'Test product',
        'PRICE' => 500,
    ]);
    $this->assertTrue($result->isSuccess());
    $element = \CIBlockElement::GetList(
        [],
        ['IBLOCK_ID' => CATALOG_IBLOCK_ID, 'XML_ID' => 'TEST-IMPORT-001'],
        false, false, ['ID', 'NAME']
    )->Fetch();
    $this->assertNotFalse($element);
    $this->assertEquals('Test product', $element['NAME']);
}

What Not to Test Integrationally

• Layout and visual display — this is for E2E tests (Playwright, Selenium).
• Pure business logic without Bitrix dependencies — this is unit tests.
• Performance — integration tests are slow by definition; use a separate framework for benchmarks.

What Is Included in the Work

• Audit of current code and identification of critical paths for testing.
• Setup of test environment (PHPUnit, bootstrap, test database).
• Writing 15–25 tests for the critical path (order placement, 1C import/export).
• Integration of tests into CI/CD (GitLab CI, GitHub Actions).
• Documentation on running and maintaining tests.
• Team training: 1 hour of consultation.
• Guarantee: free test support for 1 month after delivery.

Timelines and Cost

The cost is calculated individually for your project. Approximate timelines:

Typically, the investment in integration tests pays off after the first detection of a critical error in production.

Typical Mistakes When Writing Integration Tests

Step-by-Step Implementation Plan

1. Audit of current code and identification of critical routes.
2. Setup of test environment (PHPUnit, bootstrap, test database).
3. Writing a set of tests for the critical path (15–25 pieces).
4. Integration of tests into CI/CD for automatic execution on every commit.
5. Documentation of the process and team training.

Order the implementation of integration tests: get a consultation and assessment of your project within one business day.

For more detailed information on setting up the test environment, refer to the official 1C-Bitrix documentation.

CommerceML: Why Standard Exchange Is Both a Lifesaver and a Trap

Standard exchange via CommerceML 2.0 on typical "Trade Management" or "Comprehensive Automation" can be set up in a day or two. Products, prices, stock, orders—all via XML files on a schedule. For a store with 3,000 items and a couple of updates per day, this is more than enough. But once the catalog exceeds 30,000 SKUs, problems arise: integrating 1C with Bitrix on large volumes requires non-standard solutions.

Why does CommerceML slow down with catalogs over 100,000 items?

bitrix_1c_exchange.php generates XML on the Bitrix side, and 1C retrieves and parses it. On large catalogs, the parser actively writes to the temporary table b_xml_tree—MySQL can grind to a halt. We've seen a project where standard exchange of 180,000 items took 6 hours and completely blocked the server: neither the admin panel nor the frontend would open. The solution is incremental exchange. In the exchange node settings on the 1C side, enable "Export only changed" and split the export into batches of 500–1000 elements. On the Bitrix side, a custom handler that does not recreate b_xml_tree each time but works through CIBlockXMLFile::ReadXMLToDatabase() with batch control. A catalog of 200,000 SKUs updates in 8–12 minutes.

Another pitfall is EXTERNAL_ID. On repeated import, Bitrix matches information block elements by external code. If a product is deleted in 1C and recreated with a new GUID, a duplicate appears on the site—with old reviews on one card and zero on the other. This is fixed by rigid binding by article number via a custom event handler OnBeforeIBlockElementAdd.

How to avoid duplicates during repeated import?

We bind products not by GUID but by article number. Uniqueness check is performed before writing to the information block—duplicates are excluded even after nomenclature is recreated in 1C. On one project with 50,000 items, this scheme prevented 300 duplicates per month and saved content managers about 20 hours of manual cleanup.

Custom 1C Configurations: When CommerceML Falls Short

"We have a standard configuration"—says every second client, and then we open the database and see 200 custom processing routines, renamed attributes, and custom sales documents. CommerceML works with a fixed XML structure. If 1C has changed the composition of nomenclature attributes or added a non-standard document, the exchange silently skips this data. Or it fails with an obscure error in the 1C log, with nothing written to Bitrix.

In such cases, we implement custom export. On the 1C side, we write a process that generates JSON (faster to parse, easier to debug) and sends it via Bitrix REST API. Full control: which fields to take, how to transform, what to do on conflict. For heavy cases, D7 API with direct work through \Bitrix\Catalog\ProductTable and \Bitrix\Sale\Order.

What are the key steps to set up 1C integration?

Custom REST is justified when:

• Non-standard nomenclature attributes;
• Multiple price types (retail, wholesale, dealer, promotional, regional, currency)—standard exchange sends only one type;
• Multi-warehouse with different stock levels and need to select a warehouse on the site.

Prices, Stock, and Multi-Warehouse

Standard exchange can transfer one price type. In reality, there may be 15: each with its own buyer group and priority. Mapping between 1C price groups and Bitrix user groups is a separate engineering challenge. Especially when discounts overlap and you need to determine which price wins.

Multi-warehouse adds another layer: product is in stock in Moscow, out of stock in St. Petersburg, and "on order" in Novosibirsk. The site must show availability per location, allow selection of pickup points, and calculate shipping from the nearest warehouse where the product is physically available. The standard Bitrix warehouse module (catalog.store) handles display, but we write the "which warehouse to ship from" logic separately. For one manufacturing holding, we implemented a custom stock aggregator that calculated balance across 8 warehouses in 2 seconds—reducing shipping errors by 80%.

Orders and Document Flow

An order from the site goes to 1C, a sales document is created, goods are reserved. Statuses come back. The main nuance is partial shipment: the client ordered 5 items, 3 are in stock, 2 will arrive in a week. 1C creates two sales documents. Bitrix out of the box cannot split one order into several shipments—we extend the OnSaleOrderSaved handler to create child orders and synchronize statuses for each.

Documents in the personal account—invoices, acts, waybills from 1C—are served via REST; PDF is generated on the 1C side and cached on CDN. The buyer downloads not from 1C directly (that would kill the server) but from cache.

Batch import with portion control reduces MySQL load and prevents locks (source: Wikipedia).

Monitoring: Not "Set and Forget"

Exchange can silently break: the script ran, no errors in log, but 200 products didn't update due to invalid UTF-8 in the name. Or 1C changed the date format in an update—all prices came in as zero.

Minimum set we install on every project:

• Telegram alert if exchange time increases 3+ times from average.
• Stock discrepancy check: script compares b_catalog_product.QUANTITY with what 1C provides, and alerts when delta exceeds 5%.
• Dashboard: last sync, number of processed items, queue, errors.

For high-load projects, we add async queues on Redis or RabbitMQ. Exchange does not block the web server, data is not lost during temporary 1C outages. On one online store with 2 million orders per year, we implemented this scheme—recovery time after failures dropped from 3 hours to 10 minutes.

Linking with Bitrix24 for Document Flow Automation

If besides the site there is a corporate portal on Bitrix24, we link it too. Counterparties from CRM go to 1C, invoices from 1C appear in deal cards. The manager sees accounts receivable and mutual settlements without switching windows. Deal closed—documents generated automatically.

Payment received in 1C → logistician gets a task for shipment in Bitrix24. Goods shipped → manager sees notification. Automatic tasks based on events from 1C—via Bitrix24 REST API webhooks. This link reduces manual entry by 70% and eliminates forgotten shipments.

How We Set Up Integration: Step-by-Step Process

1. Audit of 1C Configuration. Review the structure of directories, documents, attributes. Identify custom modifications. Assess data volume (number of SKUs, orders, warehouses).
2. Design Exchange Schema. Agree on data set: products, prices, stock, orders, documents. Determine sync interval and mechanism—CommerceML or custom REST.
3. Configure Standard Exchange. Set up CommerceML, batch mode, binding by article. Verify data transfer correctness on a test catalog.
4. Extended Integration. For complex configurations, write custom handlers on both 1C and Bitrix sides. Incorporate multi-warehouse, multiple prices, partial shipment.
5. Monitoring and Warranty. Set up alerts, dashboard, documentation. Train operators. After launch, warranty support.

Timelines and What's Included

Work results include: documented exchange schema, configured synchronization scenarios, monitoring dashboard, operator training, and warranty support after launch. Pricing is calculated individually—it depends on the complexity of the 1C configuration, catalog size, and required automation level. We'll evaluate your project in 1 day—write to us, let's discuss. Order integration and get stable exchange in 1–2 weeks.

We have completed over 50 1C integrations for online stores and manufacturing companies. The team's average experience is 7 years, and we have certified 1C-Bitrix specialists. Our experience ensures that the exchange won't break in the first month and will run stably for years. For example, on a project with a catalog of 50,000 items, automation of exchange saved the client significant operational costs annually.

Contact us for a free audit of your 1C configuration—we'll find bottlenecks and offer the optimal solution.