Advanced Automation Features Documentation

This document describes all advanced automation features added to the AI Automation Framework.

Email Automation
Database Automation
Web Scraping
Task Scheduler
API Testing
Excel/CSV Processing
Image Processing & OCR
Messaging Platforms (Slack/Discord)
Git Automation
Cloud Storage (S3/GCS)
Browser Automation
PDF Processing
External Framework Integrations

1. Email Automation

Module: ai_automation_framework.tools.advanced_automation.EmailAutomationTool

Features

Send emails via SMTP
Read emails via IMAP
HTML email support
Attachment handling
Email filtering

Example

from ai_automation_framework.tools.advanced_automation import EmailAutomationTool

# Initialize
email_tool = EmailAutomationTool(
    smtp_server="smtp.gmail.com",
    smtp_port=587,
    imap_server="imap.gmail.com",
    imap_port=993
)

# Send email
result = email_tool.send_email(
    sender="your@email.com",
    password="your_app_password",
    recipient="recipient@email.com",
    subject="Daily Report",
    body="<h1>Report</h1><p>Content here...</p>",
    html=True
)

# Read emails
emails = email_tool.read_emails(
    username="your@email.com",
    password="your_password",
    folder="INBOX",
    limit=10,
    unread_only=True
)

Use Cases

Automated daily reports
Alert systems
Customer notifications
Email-based workflows

2. Database Automation

Module: ai_automation_framework.tools.advanced_automation.DatabaseAutomationTool

Features

SQL query generation
CRUD operations
Schema management
Aggregation queries
Transaction support

Example

from ai_automation_framework.tools.advanced_automation import DatabaseAutomationTool

# Initialize (SQLite example)
db = DatabaseAutomationTool("database.db")
db.connect()

# Create table
schema = {
    "id": "INTEGER PRIMARY KEY",
    "name": "TEXT",
    "email": "TEXT UNIQUE"
}
db.create_table("users", schema)

# Generate and execute INSERT
query, values = db.generate_insert_query("users", {
    "name": "John Doe",
    "email": "john@example.com"
})
db.execute_query(query, values)

# Generate SELECT query
query = db.generate_select_query("users", where={"name": "John Doe"})
result = db.execute_query(query)

Use Cases

Data ETL pipelines
Report generation
Data validation
Application backends

3. Web Scraping

Module: ai_automation_framework.tools.advanced_automation.WebScraperTool

Features

HTTP requests
HTML parsing
Link extraction
Table parsing
Text extraction

Example

from ai_automation_framework.tools.advanced_automation import WebScraperTool

scraper = WebScraperTool()

# Fetch webpage
result = scraper.fetch_url("https://example.com")

# Extract links
links = scraper.extract_links(result['content'], base_url="https://example.com")

# Extract tables
tables = scraper.extract_table_data(result['content'])

# Extract specific elements
text = scraper.extract_text(result['content'], tag='h2')

Use Cases

Price monitoring
Content aggregation
Data collection
Market research

4. Task Scheduler

Module: ai_automation_framework.tools.scheduler_and_testing.TaskScheduler

Features

Cron-like scheduling
Multiple time intervals
Background execution
Job management

Example

from ai_automation_framework.tools.scheduler_and_testing import TaskScheduler

scheduler = TaskScheduler()

# Schedule function to run every hour
def backup_data():
    print("Running backup...")

scheduler.schedule_task(backup_data, 'hours', interval=1)

# Schedule daily task at specific time
scheduler.schedule_task(generate_report, 'daily', at_time='09:00')

# Start scheduler
scheduler.start()

Use Cases

Automated backups
Periodic reports
Health checks
Data synchronization

5. API Testing

Module: ai_automation_framework.tools.scheduler_and_testing.APITestingTool

Features

Endpoint testing
Load testing
Schema validation
Performance metrics
Test reporting

Example

from ai_automation_framework.tools.scheduler_and_testing import APITestingTool

tester = APITestingTool()

# Test single endpoint
result = tester.test_endpoint(
    url="https://api.example.com/users",
    method="GET",
    expected_status=200
)

# Test multiple endpoints
endpoints = [
    {"url": "https://api.example.com/users", "method": "GET"},
    {"url": "https://api.example.com/posts", "method": "GET"}
]
results = tester.test_multiple_endpoints(endpoints)

# Load test
load_result = tester.load_test(
    url="https://api.example.com/users",
    num_requests=100,
    concurrent=True
)

# Generate report
report = tester.get_test_report()

Use Cases

CI/CD pipeline testing
API monitoring
Performance testing
Contract testing

6. Excel/CSV Processing

Module: ai_automation_framework.tools.data_processing

Features

Read/write Excel files
CSV processing
Data aggregation
Statistical analysis
File merging

Example

from ai_automation_framework.tools.data_processing import ExcelAutomationTool, CSVProcessingTool

excel = ExcelAutomationTool()

# Write Excel with auto-formatting
data = [
    {"name": "Product A", "sales": 1000},
    {"name": "Product B", "sales": 1500}
]
excel.write_excel("report.xlsx", data, auto_format=True)

# Read Excel
result = excel.read_excel("report.xlsx")

# Excel to CSV conversion
excel.excel_to_csv("report.xlsx", "report.csv")

# Merge multiple Excel files
excel.merge_excel_files(["file1.xlsx", "file2.xlsx"], "merged.xlsx")

Use Cases

Report generation
Data analysis
Business intelligence
File format conversion

7. Image Processing & OCR

Module: ai_automation_framework.tools.media_messaging

Features

Image resizing/cropping
Format conversion
Filters and effects
OCR (text extraction)
Thumbnail generation

Example

from ai_automation_framework.tools.media_messaging import ImageProcessingTool, OCRTool

img_tool = ImageProcessingTool()

# Resize image
img_tool.resize_image("input.jpg", "output.jpg", 800, 600)

# Apply filter
img_tool.apply_filter("input.jpg", "output.jpg", "SHARPEN")

# Create thumbnail
img_tool.create_thumbnail("input.jpg", "thumb.jpg", size=(128, 128))

# OCR - Extract text from image
ocr = OCRTool()
result = ocr.extract_text_from_image("document.png")

Use Cases

Image optimization
Document digitization
Receipt processing
Media pipelines

8. Messaging Platforms

Modules: SlackTool, DiscordTool

Features

Send messages
Upload files
Webhook support
Rich formatting

Example

from ai_automation_framework.tools.media_messaging import SlackTool, DiscordTool

# Slack
slack = SlackTool(webhook_url="https://hooks.slack.com/...")
slack.send_message("Deployment successful! 🚀")

# Discord
discord = DiscordTool(webhook_url="https://discord.com/api/webhooks/...")
discord.send_embed(
    title="Alert",
    description="Server CPU usage high!",
    color=0xff0000
)

Use Cases

Team notifications
Alert systems
Bot interactions
Monitoring alerts

9. Git Automation

Module: ai_automation_framework.tools.devops_cloud.GitAutomationTool

Features

Clone/pull/push operations
Commit management
Branch operations
Merge support

Example

from ai_automation_framework.tools.devops_cloud import GitAutomationTool

git = GitAutomationTool("/path/to/repo")

# Get status
status = git.status()

# Add and commit
git.add(".")
git.commit("Auto-commit: daily update")

# Push to remote
git.push("origin", "main")

# Create branch
git.create_branch("feature/new-feature")

Use Cases

Automated commits
CI/CD pipelines
Repository synchronization
Backup automation

10. Cloud Storage

Module: ai_automation_framework.tools.devops_cloud.CloudStorageTool

Features

AWS S3 support
Google Cloud Storage
Upload/download files
Object listing

Example

from ai_automation_framework.tools.devops_cloud import CloudStorageTool

# S3
cloud = CloudStorageTool(
    provider="s3",
    aws_access_key_id="your_key",
    aws_secret_access_key="your_secret"
)

# Upload file
cloud.upload_file_s3("local.txt", "my-bucket", "remote.txt")

# Download file
cloud.download_file_s3("my-bucket", "remote.txt", "downloaded.txt")

# List objects
objects = cloud.list_objects_s3("my-bucket", prefix="folder/")

Use Cases

Cloud backups
CDN file uploads
Data archiving
File distribution

11. Browser Automation

Module: ai_automation_framework.tools.devops_cloud.BrowserAutomationTool

Features

Selenium support
Page navigation
Form filling
Screenshots
Element interaction

Example

from ai_automation_framework.tools.devops_cloud import BrowserAutomationTool

browser = BrowserAutomationTool(driver_type="selenium", headless=True)

# Navigate to page
browser.navigate("https://example.com")

# Get page text
text = browser.get_page_text()

# Take screenshot
browser.screenshot("page.png")

# Fill form
browser.fill_form("username", "myuser")
browser.click_element("submit-button")

# Close browser
browser.close()

Use Cases

Web testing
Data scraping
UI automation
Form submissions

12. PDF Processing

Module: ai_automation_framework.tools.devops_cloud.PDFAdvancedTool

Features

PDF merging
PDF splitting
Text extraction
PDF generation

Example

from ai_automation_framework.tools.devops_cloud import PDFAdvancedTool

pdf = PDFAdvancedTool()

# Merge PDFs
pdf.merge_pdfs(["file1.pdf", "file2.pdf"], "merged.pdf")

# Split PDF into pages
pdf.split_pdf("document.pdf", "output_dir/")

# Extract text
text = pdf.extract_pdf_text("document.pdf")

# Create PDF from text
pdf.create_pdf_from_text("Hello World!", "output.pdf")

Use Cases

Document processing
Report generation
Archiving
Document management

13. External Framework Integrations

Zapier Integration

Module: ai_automation_framework.integrations.ZapierIntegration

from ai_automation_framework.integrations import ZapierIntegration

zap = ZapierIntegration(webhook_url="https://hooks.zapier.com/...")

# Trigger zap
zap.trigger_zap({"name": "John", "event": "signup"})

# Send email via zap
zap.send_email_via_zap("user@example.com", "Welcome!", "Thanks for signing up!")

n8n Integration

Module: ai_automation_framework.integrations.N8NIntegration

from ai_automation_framework.integrations import N8NIntegration

n8n = N8NIntegration(base_url="https://n8n.example.com", api_key="your_key")

# Trigger workflow
n8n.trigger_webhook("/webhook/process-data", {"data": "value"})

# Execute workflow
n8n.execute_workflow("workflow-id", {"input": "data"})

Airflow Integration

Module: ai_automation_framework.integrations.AirflowIntegration

from ai_automation_framework.integrations import AirflowIntegration

airflow = AirflowIntegration(
    base_url="http://localhost:8080",
    username="admin",
    password="admin"
)

# Trigger DAG
airflow.trigger_dag("my_dag", conf={"param": "value"})

# Get DAG status
status = airflow.get_dag_status("my_dag", "run_id")

# Generate DAG template
code = airflow.generate_dag_template(
    "my_dag",
    "My workflow",
    tasks=["extract", "transform", "load"]
)

Complete Feature Matrix

Feature	Module	Tested	Production Ready
Email Automation	`advanced_automation`	✅	✅
Database Automation	`advanced_automation`	✅	✅
Web Scraping	`advanced_automation`	✅	✅
Task Scheduler	`scheduler_and_testing`	✅	✅
API Testing	`scheduler_and_testing`	✅	✅
Excel/CSV Processing	`data_processing`	✅	✅
Image Processing	`media_messaging`	✅	✅
OCR	`media_messaging`	✅	✅
Slack Integration	`media_messaging`	✅	✅
Discord Integration	`media_messaging`	✅	✅
Git Automation	`devops_cloud`	✅	✅
Cloud Storage	`devops_cloud`	✅	✅
Browser Automation	`devops_cloud`	✅	✅
PDF Processing	`devops_cloud`	✅	✅
Zapier Integration	`integrations`	✅	✅
n8n Integration	`integrations`	✅	✅
Airflow Integration	`integrations`	✅	✅

Total: 17 Advanced Features ✨

Examples

All features have working examples in:

examples/level4_advanced_automation/
├── 01_email_automation_example.py
├── 02_database_automation_example.py
├── 03_web_scraping_example.py
├── 04_scheduler_example.py
├── 05_api_testing_example.py
├── 06_excel_csv_example.py
└── 07_all_features_demo.py  # Comprehensive demo

Run the comprehensive demo:

python examples/level4_advanced_automation/07_all_features_demo.py

Installation

Install additional dependencies:

pip install -r requirements.txt

Optional dependencies for specific features:

# For OCR
pip install pytesseract
# System: sudo apt-get install tesseract-ocr

# For browser automation
pip install selenium playwright
playwright install chromium

# For cloud storage
pip install boto3 google-cloud-storage

Best Practices

Error Handling: All tools return success/error dictionaries
Configuration: Use environment variables for credentials
Logging: Enable logging for production deployments
Testing: Run example scripts to verify functionality
Security: Never hardcode credentials

Next Steps

Explore individual examples
Integrate with your workflows
Customize for your use cases
Build complex automation pipelines

For more information, see the main README.md

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Advanced Automation Features Documentation

Table of Contents

1. Email Automation

Features

Example

Use Cases

2. Database Automation

Features

Example

Use Cases

3. Web Scraping

Features

Example

Use Cases

4. Task Scheduler

Features

Example

Use Cases

5. API Testing

Features

Example

Use Cases

6. Excel/CSV Processing

Features

Example

Use Cases

7. Image Processing & OCR

Features

Example

Use Cases

8. Messaging Platforms

Features

Example

Use Cases

9. Git Automation

Features

Example

Use Cases

10. Cloud Storage

Features

Example

Use Cases

11. Browser Automation

Features

Example

Use Cases

12. PDF Processing

Features

Example

Use Cases

13. External Framework Integrations

Zapier Integration

n8n Integration

Airflow Integration

Complete Feature Matrix

Examples

Installation

Best Practices

Next Steps