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Outbound Email #148

Open DevCEDTeam opened 9 hours ago

DevCEDTeam commented 9 hours ago

flowchart TD
    A[Inbound Email Received] --> B[MX Records Processing via Cloudflare]
    B --> C[Cloudflare Worker Routes Email]
    C --> D[Google Cloud Function Handles Email]

    D --> E1[Bounce Management via IMAP]
    D --> E2[Open Tracking with Pixel]
    D --> E3[Unsubscribe Handling via Link]

    E1 --> F1[Store Bounce Data in Firestore/MongoDB]
    E2 --> F2[Store Open Data in Firestore/MongoDB]
    E3 --> F3[Store Unsubscribe Data in Firestore/MongoDB]

    D --> G[Send Email Out via OAuth 2.0]

    G --> H[Outbound Email Routing via Mailhop Server a970359.mx.mailhop.org]

    H --> I[User Interactions]
    I --> |Bounce| F1
    I --> |Open| F2
    I --> |Unsubscribe| F3
DevCEDTeam commented 9 hours ago

To develop a robust email management system that integrates bulk email sending, AI-generated content, tracking, bounce handling, and unsubscribe management, I will break down the task using the Gilbert technique. Each stage will be actionable, and examples will guide you through setting up this system using open-source tools, Google Cloud, Python, Cloudflare, and Terraform.


Step-by-Step Instructions Using the Gilbert Technique


1. Install Required Libraries

Purpose: Ensure your environment has the necessary tools to handle Gmail authentication (OAuth 2.0), Vertex AI for content generation, and MongoDB for logging.

Action:

pip install google-auth google-auth-oauthlib google-auth-httplib2 google-cloud-aiplatform pymongo

2. Set Up OAuth 2.0 Authentication for Gmail

Purpose: Securely send emails on behalf of your Gmail account using OAuth 2.0.

Action:

  1. Enable Gmail API in your Google Cloud Console.
  2. Download the client_secret.json file for OAuth 2.0 credentials.
  3. Save the file in your project directory.
  4. Generate OAuth Token using the Python script below:
from google_auth_oauthlib.flow import InstalledAppFlow
import pickle
import os

SCOPES = ['https://www.googleapis.com/auth/gmail.send']

def generate_gmail_token():
    creds = None
    if os.path.exists('token.json'):
        with open('token.json', 'rb') as token:
            creds = pickle.load(token)
    else:
        flow = InstalledAppFlow.from_client_secrets_file('client_secret.json', SCOPES)
        creds = flow.run_local_server(port=0)
        with open('token.json', 'wb') as token:
            pickle.dump(creds, token)
    return creds

3. Integrate Vertex AI for AI-Generated Email Content

Purpose: Dynamically generate personalized email content using Google's Vertex AI.

Action:

  1. Create a Service Account in Google Cloud and download its credentials (your-service-account.json).
  2. Initialize Vertex AI with the following code:
from google.cloud import aiplatform
from google.oauth2 import service_account

def generate_ai_content(prompt):
    credentials = service_account.Credentials.from_service_account_file('your-service-account.json')
    aiplatform.init(project="your-gcp-project-id", location="us-central1", credentials=credentials)

    chat_model = aiplatform.models.ChatModel(model_name="gemini-chat-model")
    response = chat_model.predict(prompt)
    return response['text']

4. Send Emails via Gmail API with Tracking

Purpose: Automate bulk email sending with AI-generated content, including tracking pixels and unsubscribe links.

Action:

  1. Send Emails with the following Python function:
from google.oauth2.credentials import Credentials
from googleapiclient.discovery import build
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
import base64

def send_email_with_oauth2(to_email, content):
    creds = Credentials.from_authorized_user_file('token.json', SCOPES)
    service = build('gmail', 'v1', credentials=creds)

    msg = MIMEMultipart("alternative")
    msg["From"] = "your-email@gmail.com"
    msg["To"] = to_email
    msg["Subject"] = "Your AI-Enhanced Email"

    html_body = f"""
    <html>
    <body>
        <p>{content}</p>
        <p>If you no longer wish to receive emails, <a href="https://yourserver.com/unsubscribe?email={to_email}">unsubscribe here</a>.</p>
        <img src="https://yourserver.com/tracking_pixel?email={to_email}" width="1" height="1"/>
    </body>
    </html>
    """

    msg.attach(MIMEText(html_body, "html"))
    encoded_message = base64.urlsafe_b64encode(msg.as_bytes()).decode()

    message = {'raw': encoded_message}
    service.users().messages().send(userId="me", body=message).execute()

5. Log Email Opens Using a Tracking Pixel

Purpose: Track email opens by embedding a tracking pixel and log the open events in MongoDB.

Action:

  1. Create a MongoDB database for storing open events.
  2. Set up a server to handle the tracking pixel request and log it:
from pymongo import MongoClient
from flask import Flask, request

app = Flask(__name__)
client = MongoClient("your_mongo_uri")
db = client['email_campaign']
collection_opens = db['email_opens']

@app.route("/tracking_pixel", methods=["GET"])
def track_open():
    email = request.args.get("email")
    user_agent = request.headers.get('User-Agent')
    timestamp = datetime.datetime.utcnow()
    collection_opens.insert_one({"email": email, "user_agent": user_agent, "timestamp": timestamp})
    return "", 200, {'Content-Type': 'image/gif'}

6. Handle Unsubscriptions

Purpose: Allow recipients to unsubscribe from your emails and log this event in MongoDB.

Action:

  1. Create an Unsubscribe Route to handle unsubscribe requests:
@app.route("/unsubscribe", methods=["GET"])
def unsubscribe():
    email = request.args.get("email")
    timestamp = datetime.datetime.utcnow()
    collection_unsubscribes.insert_one({"email": email, "timestamp": timestamp, "status": "unsubscribed"})
    return "You have successfully unsubscribed."

7. Handle Bounce Notifications

Purpose: Track hard and soft bounces and remove invalid emails or retry soft bounces.

Action:

  1. Handle Bounces using a webhook:
@app.route("/bounce", methods=["POST"])
def bounce_handler():
    bounce_data = request.json
    email = bounce_data.get('email')
    bounce_type = bounce_data.get('type')

    if bounce_type == "hard":
        # Log hard bounce and remove email
    elif bounce_type == "soft":
        # Log soft bounce and schedule retry

8. Retry Soft Bounces

Purpose: Retry sending emails for soft bounces up to a defined number of attempts.

Action:

  1. Implement Retry Logic for soft bounces:
import time

def send_email_with_retry(to_email, content, retries=3):
    attempt = 0
    while attempt < retries:
        try:
            send_email_with_oauth2(to_email, content)
            break
        except Exception:
            attempt += 1
            time.sleep(10)  # Retry after 10 seconds

9. Track Email Campaign Performance

Purpose: Measure the performance of your email campaigns by tracking metrics such as open rate, bounce rate, and unsubscribe rate.

Action:

  1. Log Performance Metrics to MongoDB or Firestore:
def log_campaign_performance(metrics):
    db.collection('campaign_performance').insert_one(metrics)

Step-by-Step Guide for Infrastructure Setup Using Terraform and Cloudflare


1. Set Up Google Cloud Infrastructure Using Terraform

Purpose: Set up Google Cloud infrastructure (e.g., VPC, Cloud Functions) using Terraform.

Action:

  1. Create a Terraform Configuration File (main.tf):
provider "google" {
  credentials = file("path/to/your-service-account.json")
  project     = "your-gcp-project-id"
  region      = "us-central1"
}

# Create a VPC for email processing
resource "google_compute_network" "vpc_network" {
  name = "vpc-email-processing"
}

# Cloud Function for email processing (Bounce, Open Tracking, Unsubscribe)
resource "google_cloudfunctions_function" "email_function" {
  name        = "emailFunction"
  runtime     = "python39"
  entry_point = "process_email"
  available_memory_mb = 256
  trigger_http = true
}
  1. Initialize and Apply Terraform:
terraform init
terraform apply

2. Cloudflare Setup for MX Records and Workers

Purpose: Manage DNS records and set up Cloudflare Workers to route inbound emails.

Action:

  1. Add MX Records in Cloudflare:

    • route1.mx.cloudflare.net

    (Priority: 2)

    • route2.mx.cloudflare.net (Priority: 81)
    • route3.mx.cloudflare.net (Priority: 91)
  2. Set Up Cloudflare Worker to handle inbound emails:

addEventListener('fetch', event => {
    event.respondWith(handleRequest(event.request))
})

async function handleRequest(request) {
    const fetchResponse = await fetch('https://your-cloud-function-url', {
        method: 'POST',
        headers: { 'Content-Type': 'application/json' },
        body: await request.text()
    })
    return new Response(fetchResponse.body)
}

Testing and Monitoring the System


Testing Bounce Management:

  1. Send emails to invalid addresses.
  2. Run IMAP script to capture bounced emails.

Testing Email Open Tracking:

  1. Send emails with tracking pixels.
  2. Verify logs for open events.

Testing Unsubscribe Management:

  1. Send emails with unsubscribe links.
  2. Confirm unsubscribe status in the database.

Conclusion

This guide walks you through creating a robust email management system using Google Cloud, Vertex AI, MongoDB, Cloudflare, and Terraform. The system can handle bulk email sending, AI-generated content, tracking pixels, bounce management, and unsubscribe handling. Each step is practical and actionable, ensuring a seamless deployment of your email infrastructure.

DevCEDTeam commented 8 hours ago

To optimize the Step-by-Step Gilbert Instructions for the Email Management System and incorporate the Outbound Email Routing via Mailhop server (a970359.mx.mailhop.org), let's revise the instructions, ensuring that we cover the outbound routing through Mailhop after email processing.


Updated Gilbert Instructions: Email Management System (Optimized with Outbound Routing via Mailhop)

1. Infrastructure Setup (GCP, Cloudflare, Mailhop)

Step 1: Configure Google Cloud Infrastructure Using Terraform

Example main.tf configuration for setting up the environment:

provider "google" {
  credentials = file("path/to/your-service-account.json")
  project     = "gmail-bulk-sending"
  region      = "us-central1"
}

# Create the network for email processing
resource "google_compute_network" "vpc_network" {
  name = "vpc-email-processing"
}

# Create Google Cloud Function
resource "google_cloudfunctions_function" "email_function" {
  name        = "processEmailFunction"
  runtime     = "python39"
  entry_point = "process_email"
  trigger_http = true
  source_archive_bucket = google_storage_bucket.email_function_bucket.name
  source_archive_object = "email_function.zip"
}

# Storage bucket for Cloud Function
resource "google_storage_bucket" "email_function_bucket" {
  name = "email-function-bucket-${var.project_id}"
  location = var.region
  force_destroy = true
}
Step 2: Configure Mailhop Outbound Email Routing
  1. Login to DuoCircle's Email Gateway portal.
  2. Configure Destination Servers for outbound email routing:
    • MX Record: a970359.mx.mailhop.org
    • TLS Mode: Require
    • SRS Mode: Never
Step 3: Set Up MX Records in Cloudflare

Configure the following MX records to route inbound emails:

Step 4: Create Cloudflare Worker
addEventListener('fetch', event => {
    event.respondWith(handleRequest(event.request))
})

async function handleRequest(request) {
    const emailRecipient = request.headers.get('To')
    const response = await fetch('https://REGION-gmail-bulk-sending.cloudfunctions.net/processEmailFunction', {
        method: 'POST',
        headers: { 'Content-Type': 'application/json' },
        body: JSON.stringify({ email_content: await request.text() })
    })
    return new Response(response.body, {
        status: response.status,
        headers: response.headers
    })
}

Deploy the worker script via the Cloudflare dashboard or Terraform.

Step 5: Configure OAuth 2.0 for Gmail

2. Email Bounce Management (IMAP)

import imaplib
import email
from pymongo import MongoClient

client = MongoClient("mongodb://localhost:27017/")
db = client.email_db

imap_server = "imap.gmail.com"
user = "you@gmail.com"
password = "yourpassword"

mail = imaplib.IMAP4_SSL(imap_server)
mail.login(user, password)
mail.select("inbox")

status, messages = mail.search(None, '(FROM "mailer-daemon")')
mail_ids = messages[0].split()

for mail_id in mail_ids:
    status, msg_data = mail.fetch(mail_id, "(RFC822)")
    for response_part in msg_data:
        if isinstance(response_part, tuple):
            msg = email.message_from_bytes(response_part[1])
            subject = msg["subject"]
            body = msg.get_payload(decode=True)
            db.bounced_emails.insert_one({"subject": subject, "body": body})

mail.logout()

This script checks for bounced emails and stores them in Firestore/MongoDB.


3. Email Open Tracking with a Pixel

import smtplib
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText

def send_email_with_tracking(to_email):
    msg = MIMEMultipart("alternative")
    msg["From"] = "you@gmail.com"
    msg["To"] = to_email
    msg["Subject"] = "Your Subject"

    html = """<html><body>
    <p>Hello,</p>
    <p>We have a tracking pixel in this email.</p>
    <img src="https://yourserver.com/pixel.png?email={}"/>
    </body></html>""".format(to_email)

    msg.attach(MIMEText(html, "html"))

    server = smtplib.SMTP("smtp.gmail.com", 587)
    server.starttls()
    server.login("you@gmail.com", "yourpassword")
    server.sendmail("you@gmail.com", to_email, msg.as_string())
    server.quit()

send_email_with_tracking("recipient@example.com")
from flask import Flask, request

app = Flask(__name__)

@app.route("/pixel.png", methods=["GET"])
def track_open():
    email = request.args.get("email")
    print(f"Email opened by: {email}")
    return "", 200

if __name__ == "__main__":
    app.run(debug=True)

4. Unsubscribe Handling

def send_email_with_unsubscribe(to_email):
    msg = MIMEMultipart("alternative")
    msg["From"] = "you@gmail.com"
    msg["To"] = to_email
    msg["Subject"] = "Unsubscribe from our mailing list"

    html = """<html><body>
    <p>If you wish to unsubscribe, click <a href="https://yourserver.com/unsubscribe?email={}">here</a>.</p>
    </body></html>""".format(to_email)

    msg.attach(MIMEText(html, "html"))

    server = smtplib.SMTP("smtp.gmail.com", 587)
    server.starttls()
    server.login("you@gmail.com", "yourpassword")
    server.sendmail("you@gmail.com", to_email, msg.as_string())
    server.quit()

send_email_with_unsubscribe("recipient@example.com")
@app.route("/unsubscribe", methods=["GET"])
def unsubscribe():
    email = request.args.get("email")
    print(f"Unsubscribed: {email}")
    return "You have been unsubscribed."

5. Outbound Email Routing via Mailhop

After processing the email (bounce tracking, open pixel, and unsubscribe handling), the final step is to route the processed email via the Mailhop server:

  1. Outbound Mail Routing to a970359.mx.mailhop.org:

    • The Google Cloud Function processes the email and sends it out via the Mailhop server using the configured MX record (a970359.mx.mailhop.org).
    • Ensure that the appropriate TLS settings are enabled in DuoCircle to secure the outgoing email.
  2. Send Emails via OAuth 2.0 and Route:

    # Final step after processing (via OAuth)
    server.sendmail("you@gmail.com", to_email, msg.as_string())  # Routes via Mailhop

6. Data Storage in Firestore/MongoDB


Summary of Key Updates

  1. Configured Outbound Email Routing via Mailhop (a970359.mx.mailhop.org).
  2. Integrated OAuth 2.0 for Gmail email sending.
  3. Provided full flow from receiving an email, processing it, and routing it out via Mailhop.

With this optimized structure, the email management system covers inbound email routing, processing, and outbound delivery through the Mailhop server. Let me know if you need further refinement!