Data Integration and Parsing

Overview

The Data Integration and Parsing (DIP) module is responsible for connecting to external services, fetching data, and transforming it into a format that can be used by the PDeck system. This module plays a crucial role in keeping the task list and knowledge graph up-to-date with information from various sources.

Key Responsibilities

Connecting to external APIs (email, calendar, task management tools, etc.)
Fetching data from these services
Parsing and normalizing the data into a consistent format
Extracting relevant information (tasks, deadlines, priorities, etc.)
Updating the Knowledge Graph and Task Prioritization Engine with new information

Technology Stack

Node.js for the core implementation
Axios for making HTTP requests to external APIs
Cheerio for parsing HTML content (if needed)
Bull for managing background jobs and queues

Implementation Guidelines

1. Setting Up the Data Integration Module

Create a new module for handling data integration:

// services/dataIntegrationService.js
const axios = require('axios')
const cheerio = require('cheerio')
const Bull = require('bull')
 
class DataIntegrationService {
  constructor() {
    this.integrationQueue = new Bull('data-integration')
    this.setupQueueProcessor()
  }
 
  setupQueueProcessor() {
    this.integrationQueue.process(async (job) => {
      const { userId, integrationType } = job.data
      await this.processIntegration(userId, integrationType)
    })
  }
 
  async scheduleIntegration(userId, integrationType) {
    await this.integrationQueue.add({ userId, integrationType })
  }
 
  async processIntegration(userId, integrationType) {
    const integrationData = await this.fetchIntegrationData(userId, integrationType)
    const parsedData = await this.parseData(integrationType, integrationData)
    await this.updateSystem(userId, parsedData)
  }
 
  // ... (other methods)
}
 
module.exports = new DataIntegrationService()

2. Implementing Data Fetching

Create methods for fetching data from different external services:

// services/dataIntegrationService.js
class DataIntegrationService {
  // ... (previous code)
 
  async fetchIntegrationData(userId, integrationType) {
    const integration = await Integration.findOne({ user: userId, type: integrationType })
    if (!integration) {
      throw new Error('Integration not found')
    }
 
    switch (integrationType) {
      case 'email':
        return this.fetchEmailData(integration)
      case 'calendar':
        return this.fetchCalendarData(integration)
      case 'taskManagement':
        return this.fetchTaskManagementData(integration)
      default:
        throw new Error('Unsupported integration type')
    }
  }
 
  async fetchEmailData(integration) {
    // Implement email fetching logic (e.g., using IMAP or email service API)
  }
 
  async fetchCalendarData(integration) {
    // Implement calendar data fetching (e.g., using Google Calendar API)
  }
 
  async fetchTaskManagementData(integration) {
    // Implement task management data fetching (e.g., using Trello or Asana API)
  }
}

3. Implementing Data Parsing

Create methods for parsing the fetched data:

// services/dataIntegrationService.js
class DataIntegrationService {
  // ... (previous code)
 
  async parseData(integrationType, rawData) {
    switch (integrationType) {
      case 'email':
        return this.parseEmailData(rawData)
      case 'calendar':
        return this.parseCalendarData(rawData)
      case 'taskManagement':
        return this.parseTaskManagementData(rawData)
      default:
        throw new Error('Unsupported integration type')
    }
  }
 
  parseEmailData(rawData) {
    // Parse email data and extract relevant information (e.g., tasks from email content)
    return rawData.map(email => ({
      type: 'email',
      subject: email.subject,
      sender: email.from,
      date: email.date,
      content: this.extractTasksFromEmail(email.body)
    }))
  }
 
  parseCalendarData(rawData) {
    // Parse calendar data and extract relevant information
    return rawData.map(event => ({
      type: 'event',
      title: event.summary,
      start: event.start.dateTime || event.start.date,
      end: event.end.dateTime || event.end.date,
      description: event.description
    }))
  }
 
  parseTaskManagementData(rawData) {
    // Parse task management data
    return rawData.map(task => ({
      type: 'task',
      title: task.name,
      description: task.description,
      dueDate: task.due,
      status: task.status
    }))
  }
 
  extractTasksFromEmail(emailBody) {
    // Implement logic to extract tasks from email content
    // This could involve natural language processing or keyword matching
  }
}

4. Updating the System

Implement a method to update the PDeck system with the parsed data:

// services/dataIntegrationService.js
class DataIntegrationService {
  // ... (previous code)
 
  async updateSystem(userId, parsedData) {
    const taskService = require('./taskService')
    const knowledgeGraphService = require('./knowledgeGraphService')
 
    for (const item of parsedData) {
      switch (item.type) {
        case 'email':
          await this.processEmailItem(userId, item)
          break
        case 'event':
          await this.processEventItem(userId, item)
          break
        case 'task':
          await this.processTaskItem(userId, item)
          break
      }
    }
 
    // Trigger task reprioritization
    await taskService.reprioritizeTasks(userId)
  }
 
  async processEmailItem(userId, item) {
    // Create tasks based on email content
    // Update knowledge graph with email information
  }
 
  async processEventItem(userId, item) {
    // Create tasks for events if necessary
    // Update knowledge graph with event information
  }
 
  async processTaskItem(userId, item) {
    // Create or update task in PDeck system
    // Update knowledge graph with task information
  }
}

5. Handling Rate Limiting and API Quotas

Implement rate limiting to respect API quotas of external services:

// utils/rateLimiter.js
const RateLimiter = require('limiter').RateLimiter
 
const limiter = new RateLimiter(1, 'second')
 
module.exports = async function rateLimitedRequest(requestFn) {
  await limiter.removeTokens(1)
  return requestFn()
}
 
// Usage in dataIntegrationService.js
const rateLimitedRequest = require('../utils/rateLimiter')
 
class DataIntegrationService {
  // ... (previous code)
 
  async fetchEmailData(integration) {
    return rateLimitedRequest(async () => {
      // Implement email fetching logic
      const response = await axios.get('https://email-api.example.com/messages', {
        headers: { Authorization: `Bearer ${integration.accessToken}` }
      })
      return response.data
    })
  }
 
  // Apply similar rate limiting to other fetch methods
}

6. Error Handling and Retries

Implement robust error handling and retry mechanisms:

// utils/retryWithBackoff.js
const backOff = require('exponential-backoff')
 
async function retryWithBackoff(operation, maxRetries = 3) {
  return backOff.backOff(() => operation(), {
    numOfAttempts: maxRetries,
    startingDelay: 1000,
    timeMultiple: 2,
    jitter: 'full'
  })
}
 
module.exports = retryWithBackoff
 
// Usage in dataIntegrationService.js
const retryWithBackoff = require('../utils/retryWithBackoff')
 
class DataIntegrationService {
  // ... (previous code)
 
  async fetchCalendarData(integration) {
    return retryWithBackoff(async () => {
      const response = await axios.get('https://calendar-api.example.com/events', {
        headers: { Authorization: `Bearer ${integration.accessToken}` }
      })
      if (response.status !== 200) {
        throw new Error(`Calendar API responded with status ${response.status}`)
      }
      return response.data
    })
  }
}

7. Handling Pagination

Many APIs use pagination for large datasets. Implement a method to handle pagination:

class DataIntegrationService {
  // ... (previous code)
 
  async fetchAllPages(fetchFunction, params = {}) {
    let allData = []
    let nextPageToken = null
 
    do {
      const response = await fetchFunction({ ...params, pageToken: nextPageToken })
      allData = allData.concat(response.data)
      nextPageToken = response.nextPageToken
    } while (nextPageToken)
 
    return allData
  }
 
  async fetchTaskManagementData(integration) {
    return this.fetchAllPages(async (params) => {
      const response = await axios.get('https://task-api.example.com/tasks', {
        headers: { Authorization: `Bearer ${integration.accessToken}` },
        params: params
      })
      return {
        data: response.data.tasks,
        nextPageToken: response.data.nextPageToken
      }
    })
  }
}

8. Handling Authentication

Implement methods to handle authentication and token refresh:

class DataIntegrationService {
  // ... (previous code)
 
  async refreshAccessToken(integration) {
    const response = await axios.post('https://auth.example.com/token', {
      grant_type: 'refresh_token',
      refresh_token: integration.refreshToken,
      client_id: process.env.CLIENT_ID,
      client_secret: process.env.CLIENT_SECRET
    })
 
    integration.accessToken = response.data.access_token
    integration.refreshToken = response.data.refresh_token
    await integration.save()
 
    return integration.accessToken
  }
 
  async executeWithFreshToken(integration, operation) {
    try {
      return await operation(integration.accessToken)
    } catch (error) {
      if (error.response && error.response.status === 401) {
        const newToken = await this.refreshAccessToken(integration)
        return await operation(newToken)
      }
      throw error
    }
  }
 
  // Usage example
  async fetchEmailData(integration) {
    return this.executeWithFreshToken(integration, async (token) => {
      const response = await axios.get('https://email-api.example.com/messages', {
        headers: { Authorization: `Bearer ${token}` }
      })
      return response.data
    })
  }
}

9. Implementing Webhooks (Optional)

For real-time updates, implement webhook handlers:

// routes/webhooks.js
const express = require('express')
const router = express.Router()
const dataIntegrationService = require('../services/dataIntegrationService')
 
router.post('/email-webhook', async (req, res) => {
  const { userId, emailData } = req.body
  await dataIntegrationService.processEmailWebhook(userId, emailData)
  res.sendStatus(200)
})
 
router.post('/calendar-webhook', async (req, res) => {
  const { userId, eventData } = req.body
  await dataIntegrationService.processCalendarWebhook(userId, eventData)
  res.sendStatus(200)
})
 
module.exports = router
 
// In dataIntegrationService.js
class DataIntegrationService {
  // ... (previous code)
 
  async processEmailWebhook(userId, emailData) {
    const parsedData = this.parseEmailData([emailData])
    await this.updateSystem(userId, parsedData)
  }
 
  async processCalendarWebhook(userId, eventData) {
    const parsedData = this.parseCalendarData([eventData])
    await this.updateSystem(userId, parsedData)
  }
}

Best Practices

Use environment variables for API keys and secrets.
Implement proper logging for all integration activities.
Use try-catch blocks to handle errors gracefully.
Implement data validation for incoming data from external services.
Use background jobs for time-consuming integration tasks.
Implement proper security measures to protect user data.
Regularly update and maintain integration code to adapt to API changes.

Next Steps

Implement specific integrations for popular services (Gmail, Google Calendar, Trello, etc.).
Develop a system to manage and refresh OAuth tokens for various integrations.
Create a dashboard for users to manage their integrations.
Implement data sync scheduling to periodically update data from external services.
Develop a system to handle conflicts when data from multiple sources contradicts.
Implement data cleanup and archiving for old or irrelevant data.
Create comprehensive documentation for each integration.

External Integrations Asynchronous Processing