The VWO Feature Management and Experimentation SDK (VWO FME Node SDK) enables Node.js and JavaScript developers to integrate feature flagging and experimentation into their applications. This SDK provides full control over feature rollout, A/B testing, and event tracking, allowing teams to manage features dynamically and gain insights into user behavior.
- Node.js v12 or later
Install the SDK via npm or yarn:
# via npm
npm install vwo-fme-node-sdk --save
# via yarn
yarn add vwo-fme-node-sdk
The following example demonstrates initializing the SDK with a VWO account ID and SDK key, setting a user context, checking if a feature flag is enabled, and tracking a custom event.
const { init } = require('vwo-fme-node-sdk');
// Initialize VWO client
(async function () {
const vwoClient = await init({
accountId: '123456',
sdkKey: '32-alpha-numeric-sdk-key',
});
// Check if feature is enabled for user
const userContext = { id: 'unique_user_id' };
const feature = await vwoClient.getFlag('feature_key', userContext);
if (feature.isEnabled()) {
console.log('Feature is enabled!');
// Get feature variable
const value = feature.getVariable('feature_variable', 'default_value');
console.log('Variable value:', value);
}
// Track an event
vwoClient.trackEvent('event_name', userContext);
})();
To customize the SDK further, additional parameters can be passed to the init()
API. Here’s a table describing each option:
Parameter | Description | Required | Type | Example |
---|---|---|---|---|
accountId |
VWO Account ID for authentication. | Yes | String | '123456' |
sdkKey |
SDK key corresponding to the specific environment to initialize the VWO SDK Client. You can get this key from VWO Application. | Yes | String | '32-alpha-numeric-sdk-key' |
pollInterval |
Time interval for fetching updates from VWO servers (in milliseconds). | No | Number | 60000 |
gatewayService |
An object representing configuration for integrating VWO Gateway Service. | No | Object | see Gateway section |
storage |
Custom storage connector for persisting user decisions and campaign data. | No | Object | See Storage section |
logger |
Toggle log levels for more insights or for debugging purposes. You can also customize your own transport in order to have better control over log messages. | No | Object | See Logger section |
shouldWaitForTrackingCalls |
Ensures tracking calls complete before resolving promises, useful for edge computing environments like Cloudflare Workers | No | Boolean | true |
Refer to the official VWO documentation for additional parameter details.
The context
object uniquely identifies users and is crucial for consistent feature rollouts. A typical context
includes an id
for identifying the user. It can also include other attributes that can be used for targeting and segmentation, such as customVariables
, userAgent
and ipAddress
.
The following table explains all the parameters in the context
object:
Parameter | Description | Required | Type | Example |
---|---|---|---|---|
id |
Unique identifier for the user. | Yes | String | 'unique_user_id' |
customVariables |
Custom attributes for targeting. | No | Object | { age: 25, location: 'US' } |
userAgent |
User agent string for identifying the user's browser and operating system. | No | String | 'Mozilla/5.0 ... Safari/537.36' |
ipAddress |
IP address of the user. | No | String | '1.1.1.1' |
const userContext = {
id: 'unique_user_id',
customVariables: { age: 25, location: 'US' },
userAgent:
'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/130.0.0.0 Safari/537.36',
ipAddress: '1.1.1.1',
};
Feature Flags serve as the foundation for all testing, personalization, and rollout rules within FME.
To implement a feature flag, first use the getFlag
API to retrieve the flag configuration.
The getFlag
API provides a simple way to check if a feature is enabled for a specific user and access its variables. It returns a feature flag object that contains methods for checking the feature's status and retrieving any associated variables.
Parameter | Description | Required | Type | Example |
---|---|---|---|---|
featureKey |
Unique identifier of the feature flag | Yes | String | 'new_checkout' |
context |
Object containing user identification and contextual information | Yes | Object | { id: 'user_123' } |
Example usage:
const featureFlag = await vwoClient.getFlag('feature_key', { id: 'unique_user_id' });
const isEnabled = featureFlag.isEnabled();
if (isEnabled) {
console.log('Feature is enabled!');
// Get and use feature variable with type safety
const variableValue = featureFlag.getVariable('feature_variable', 'default_value');
console.log('Variable value:', variableValue);
} else {
console.log('Feature is not enabled!');
}
Feature flags can be enhanced with connected metrics to track key performance indicators (KPIs) for your features. These metrics help measure the effectiveness of your testing rules by comparing control versus variation performance, and evaluate the impact of personalization and rollout campaigns. Use the trackEvent
API to track custom events like conversions, user interactions, and other important metrics:
Parameter | Description | Required | Type | Example |
---|---|---|---|---|
eventName |
Name of the event you want to track | Yes | String | 'purchase_completed' |
context |
Object containing user identification and other contextual information | Yes | Object | { id: 'user_123' } |
eventProperties |
Additional properties/metadata associated with the event | No | Object | { amount: 49.99 } |
Example usage:
vwoClient.trackEvent('event_name', { id: 'unique_user_id' }, { amount: 49.99 });
See Tracking Conversions documentation for more information.
User attributes provide rich contextual information about users, enabling powerful personalization. The setAttribute
method provides a simple way to associate these attributes with users in VWO for advanced segmentation. Here's what you need to know about the method parameters:
Parameter | Description | Required | Type | Example |
---|---|---|---|---|
attributeKey |
The unique identifier/name of the attribute you want to set | Yes | String | 'plan_type' |
attributeValue |
The value to be assigned to the attribute | Yes | Any | 'premium' , 25 , etc. |
context |
Object containing user identification and other contextual information | Yes | Object | { id: 'user_123' } |
Example usage:
vwoClient.setAttribute('attribute_name', 'attribute_value', { id: 'unique_user_id' });
See Pushing Attributes documentation for additional information.
The pollInterval
is an optional parameter that allows the SDK to automatically fetch and update settings from the VWO server at specified intervals. Setting this parameter ensures your application always uses the latest configuration.
const vwoClient = await init({
accountId: '123456',
sdkKey: '32-alpha-numeric-sdk-key',
pollInterval: 60000,
});
The VWO FME Gateway Service is an optional but powerful component that enhances VWO's Feature Management and Experimentation (FME) SDKs. It acts as a critical intermediary for pre-segmentation capabilities based on user location and user agent (UA). By deploying this service within your infrastructure, you benefit from minimal latency and strengthened security for all FME operations.
The Gateway Service is required in the following scenarios:
- When using pre-segmentation features based on user location or user agent.
- For applications requiring advanced targeting capabilities.
- It's mandatory when using any thin-client SDK (e.g., Go).
The gateway can be customized by passing the gatewayService
parameter in the init
configuration.
const vwoClient = await init({
accountId: '123456',
sdkKey: '32-alpha-numeric-sdk-key',
gatewayService: {
url: 'https://custom.gateway.com',
},
});
Refer to the Gateway Documentation for further details.
The SDK operates in a stateless mode by default, meaning each getFlag
call triggers a fresh evaluation of the flag against the current user context.
To optimize performance and maintain consistency, you can implement a custom storage mechanism by passing a storage
parameter during initialization. This allows you to persist feature flag decisions in your preferred database system (like Redis, MongoDB, or any other data store).
Key benefits of implementing storage:
- Improved performance by caching decisions
- Consistent user experience across sessions
- Reduced load on your application
The storage mechanism ensures that once a decision is made for a user, it remains consistent even if campaign settings are modified in the VWO Application. This is particularly useful for maintaining a stable user experience during A/B tests and feature rollouts.
class StorageConnector extends StorageConnector {
constructor() {
super();
}
/**
* Get data from storage
* @param {string} featureKey
* @param {string} userId
* @returns {Promise<Object>}
*/
async get(featureKey, userId) {
// return await data (based on featureKey and userId)
}
/**
* Set data in storage
* @param {object} data
*/
async set(data) {
// Set data corresponding to a featureKey and user ID
// Use data.featureKey and data.userId to store the above data for a specific feature and a user
}
}
const vwoClient = await init({
accountId: '123456',
sdkKey: '32-alpha-numeric-sdk-key',
storage: StorageConnector,
});
VWO by default logs all ERROR
level messages to your server console.
To gain more control over VWO's logging behaviour, you can use the logger
parameter in the init
configuration.
Parameter | Description | Required | Type | Example |
---|---|---|---|---|
level |
Log level to control verbosity of logs | Yes | String | DEBUG |
prefix |
Custom prefix for log messages | No | String | 'CUSTOM LOG PREFIX' |
transport |
Custom logger implementation | No | Object | See example below |
const vwoClient1 = await init({
accountId: '123456',
sdkKey: '32-alpha-numeric-sdk-key',
logger: {
level: 'DEBUG',
},
});
const vwoClient2 = await init({
accountId: '123456',
sdkKey: '32-alpha-numeric-sdk-key',
logger: {
level: 'DEBUG',
prefix: 'CUSTOM LOG PREFIX',
},
});
The transport
parameter allows you to implement custom logging behavior by providing your own logging functions. You can define handlers for different log levels (debug
, info
, warn
, error
, trace
) to process log messages according to your needs.
For example, you could:
- Send logs to a third-party logging service
- Write logs to a file
- Format log messages differently
- Filter or transform log messages
- Route different log levels to different destinations
The transport object should implement handlers for the log levels you want to customize. Each handler receives the log message as a parameter.
const vwoClient3 = await init({
accountId: '123456',
sdkKey: '32-alpha-numeric-sdk-key',
logger: {
level: 'DEBUG',
transport: {
debug: (msg) => console.log(`DEBUG: ${msg}`),
info: (msg) => console.log(`INFO: ${msg}`),
warn: (msg) => console.log(`WARN: ${msg}`),
error: (msg) => console.log(`ERROR: ${msg}`),
trace: (msg) => console.log(`TRACE: ${msg}`),
},
},
});
The shouldWaitForTrackingCalls
is an optional parameter that allows you to control whether the SDK should wait for tracking calls to complete before resolving promises. When enabled, tracking API calls will wait for the server response before resolving.
This is particularly useful for edge computing environments like Cloudflare Workers, where it ensures that tracking calls complete before resolving the promise.
const vwoClient = await init({
accountId: '123456',
sdkKey: '32-alpha-numeric-sdk-key',
shouldWaitForTrackingCalls: true,
});
The version history tracks changes, improvements, and bug fixes in each version. For a full history, see the CHANGELOG.md.
yarn install
yarn build
# production tests
yarn run test:prod
# development tests
yarn run test:dev
We welcome contributions to improve this SDK! Please read our contributing guidelines before submitting a PR.
Our Code of Conduct outlines expectations for all contributors and maintainers.
Copyright 2024 Wingify Software Pvt. Ltd.