邮件自动化系统

# Clone the repository
git clone <repository-url>
cd email-automation

# Install dependencies
npm install

# Copy environment template
cp .env.example .env

GMAIL_CLIENT_ID=your_client_id
GMAIL_CLIENT_SECRET=your_client_secret
OPENAI_API_KEY=your_openai_api_key

npm run setup

npm start

npm start

{
  "mcpServers": {
    "email-automation": {
      "url": "http://localhost:3000/mcp"
    }
  }
}

1. Scheduler triggers every N minutes
                    ↓
2. Fetch unread emails from Gmail
                    ↓
3. For each email, apply filtering rules
                    ↓
4. If email matches rules:
   - Extract sender information
   - Send to OpenAI for response generation
   - Generate personalized reply
                    ↓
5. Send reply to original sender
                    ↓
6. Mark as read and label "AutoReplied"

email-automation/
├── config/
│   ├── rules.json              # Email filtering rules
│   └── settings.json           # Application settings
├── src/
│   ├── gmail/
│   │   ├── auth.js             # OAuth 2.0 authentication
│   │   ├── emailService.js     # Gmail API operations
│   │   └── setup.js            # Authentication flow
│   ├── filters/
│   │   └── engine.js           # Rule evaluation engine
│   ├── ai/
│   │   └── openai.js           # OpenAI integration
│   ├── processor/
│   │   └── emailProcessor.js   # Email processing pipeline
│   ├── scheduler/
│   │   └── cronScheduler.js    # Cron scheduling
│   ├── utils/
│   │   └── logger.js           # Winston logging setup
│   └── index.js                # Application entry point
├── logs/                       # Application logs (auto-created)
├── package.json
├── .env                        # Environment variables
├── .env.example                # Environment template
└── README.md

# Gmail OAuth Credentials
GMAIL_CLIENT_ID=your_client_id
GMAIL_CLIENT_SECRET=your_client_secret
GMAIL_REDIRECT_URI=http://localhost:3000/oauth/callback

# Google Auth Token (generated by npm run setup)
GOOGLE_TOKEN_JSON='{"type":"authorized_user",...}'

# OpenAI Configuration
OPENAI_API_KEY=your_openai_api_key
OPENAI_MODEL=gpt-4o-mini

# Processing Configuration
PROCESSING_INTERVAL_MINUTES=5
LOG_LEVEL=info

{
  "rules": [
    {
      "id": "pricing_inquiry",
      "name": "Pricing Request Auto-Reply",
      "enabled": true,
      "conditions": {
        "keywords": ["pricing", "cost", "plans"],
        "mustMatch": "any"
      },
      "context": "Customer is asking about pricing and subscription options"
    }
  ]
}

# Never commit credentials
echo ".env" >> .gitignore
echo "credentials.json" >> .gitignore

# Use environment variables for sensitive data
export OPENAI_API_KEY="sk-..."

User email: "Hi, I'm interested in your pricing plans"
                            ↓
Matches rule: "Pricing Request Auto-Reply"
                            ↓
OpenAI generates:
"Hi John, thanks for your interest! Our pricing plans start at $X/month
and include feature Y and Z. Would you like to schedule a demo?"
                            ↓
Reply sent to: user@company.com

# Watch logs in real-time
tail -f logs/combined.log

# Filter for errors only
tail -f logs/error.log

LOG_LEVEL=debug    # Verbose output (development)
LOG_LEVEL=info     # Standard output (default)
LOG_LEVEL=warn     # Warnings and errors only
LOG_LEVEL=error    # Errors only

npm run setup

import { reloadRules } from './src/filters/engine.js';
reloadRules(); // Reloads rules.json

import { processUnreadEmails } from './src/processor/emailProcessor.js';

const results = await processUnreadEmails(10);
console.log(`Processed: ${results.length} emails`);

npm install better-sqlite3