Optimizely Connector

// All REST API requests use Bearer token auth
const headers = {
  'Authorization': `Bearer ${process.env.OPTIMIZELY_ACCESS_TOKEN}`,
  'Content-Type': 'application/json'
};

// For feature flag evaluation, use the SDK
const optimizelySDK = require('@optimizely/optimizely-sdk');

const optimizelyClient = optimizelySDK.createInstance({
  sdkKey: process.env.OPTIMIZELY_SDK_KEY,
  datafileOptions: {
    autoUpdate: true,
    updateInterval: 60000  // 1 minute
  }
});

await optimizelyClient.onReady();

connectors:
  optimizely:
    enabled: true
    access_token: "${OPTIMIZELY_ACCESS_TOKEN}"
    sdk_key: "${OPTIMIZELY_SDK_KEY}"
    project_id: "12345678"

    sync:
      experiments: true
      audiences: true
      events: true
      feature_flags: true
      schedule: "0 */2 * * *"  # Every 2 hours

    mapping:
      experiment_variation: EXPERIMENT_VARIATION
      feature_flags: ENABLED_FEATURES
      audience_segments: OPT_SEGMENTS

field_mapping:
  user_id: email
  experiment_key: EXPERIMENT_NAME
  variation_key: VARIATION_NAME
  feature_key: FEATURE_FLAG
  enabled: FEATURE_ENABLED
  audience_name: AUDIENCE_SEGMENT
  decision_timestamp: EXPERIMENT_DATE

import { TajoClient } from '@tajo/sdk';

const tajo = new TajoClient({
  apiKey: process.env.TAJO_API_KEY,
  brevoApiKey: process.env.BREVO_API_KEY
});

await tajo.connectors.connect('optimizely', {
  accessToken: process.env.OPTIMIZELY_ACCESS_TOKEN,
  sdkKey: process.env.OPTIMIZELY_SDK_KEY,
  projectId: '12345678'
});

// Track experiment decisions and sync to Brevo
const optimizelyClient = optimizelySDK.createInstance({
  sdkKey: process.env.OPTIMIZELY_SDK_KEY
});

await optimizelyClient.onReady();

// Register a decision notification listener
optimizelyClient.notificationCenter.addNotificationListener(
  optimizelySDK.enums.NOTIFICATION_TYPES.DECISION,
  async (decisionObject) => {
    const { type, userId, attributes, decisionInfo } = decisionObject;

    if (type === 'feature' || type === 'ab-test') {
      const email = attributes.email;
      if (email) {
        await tajo.contacts.update(email, {
          attributes: {
            EXPERIMENT_NAME: decisionInfo.experimentKey || decisionInfo.featureKey,
            VARIATION_NAME: decisionInfo.variationKey,
            FEATURE_ENABLED: decisionInfo.featureEnabled || false,
            EXPERIMENT_DATE: new Date().toISOString()
          }
        });
      }
    }
  }
);

// Fetch experiment results and sync winning segments
const resultsResponse = await fetch(
  `https://api.optimizely.com/v2/experiments/${experimentId}/results`,
  {
    headers: {
      'Authorization': `Bearer ${process.env.OPTIMIZELY_ACCESS_TOKEN}`
    }
  }
);

const results = await resultsResponse.json();

// Process variations and update contact segments
for (const variation of results.metrics) {
  const isWinner = variation.is_improvement && variation.statistical_significance >= 0.95;

  if (isWinner) {
    // Create a Brevo segment for users in the winning variation
    console.log(`Winning variation: ${variation.variation_name}`);
  }
}

// Evaluate feature flags for user segmentation
async function syncFeatureFlags(userEmail, userId) {
  const features = ['new_checkout', 'loyalty_program', 'ai_recommendations'];
  const enabledFeatures = [];

  for (const feature of features) {
    const user = optimizelyClient.createUserContext(userId, {
      email: userEmail
    });
    const decision = user.decide(feature);

    if (decision.enabled) {
      enabledFeatures.push(feature);
    }
  }

  await tajo.contacts.update(userEmail, {
    attributes: {
      ENABLED_FEATURES: enabledFeatures.join(', '),
      FEATURE_FLAGS_SYNCED: new Date().toISOString()
    }
  });
}

connectors:
  optimizely:
    debug: true
    log_level: verbose
    log_decisions: true
    log_events: true

graph LR
  Source["Optimizely API / repository"] --> Auth["Auth and scopes"]
  Source --> Objects["Objects, events, and schemas"]
  Auth --> Tajo["Tajo connector runtime"]
  Objects --> Tajo
  Tajo --> Brevo["Brevo contacts, attributes, lists, campaigns"]
  Tajo --> Ops["Backfill, cursor, retries, logs"]