Quick Setup: Web Automation Implementation

# SKAP Web Automation Implementation - Python
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.chrome.service import Service
from webdriver_manager.chrome import ChromeDriverManager
import time
import json

class SKAPWebAutomation:
    def __init__(self, headless=True):
        """Initialize SKAP-enhanced browser agent"""
        self.options = webdriver.ChromeOptions()
        if headless:
            self.options.add_argument('--headless')
        self.options.add_argument('--no-sandbox')
        self.options.add_argument('--disable-dev-shm-usage')
        
        service = Service(ChromeDriverManager().install())
        self.driver = webdriver.Chrome(service=service, options=self.options)
        self.wait = WebDriverWait(self.driver, 10)
        
        # Performance tracking
        self.metrics = {
            'tasks_completed': 0,
            'tasks_failed': 0,
            'total_execution_time': 0,
            'success_rate': 0
        }
    
    def learn_phase(self, url, max_interactions=50):
        """Phase 1: Autonomous exploration of target environment"""
        start_time = time.time()
        observations = []
        
        try:
            self.driver.get(url)
            
            # Initial DOM analysis
            dom_structure = self.analyze_dom_structure()
            ui_elements = self.catalog_interactive_elements()
            
            # Systematic interaction
            for interaction in range(max_interactions):
                # Select unexplored elements
                target_element = self.select_exploration_target(ui_elements)
                if not target_element:
                    break
                
                # Perform interaction
                action_result = self.interact_with_element(target_element)
                
                # Record observation
                observation = {
                    'action': action_result['action'],
                    'element': target_element,
                    'context': self.extract_context(),
                    'outcome': action_result['outcome'],
                    'timestamp': time.time()
                }
                observations.append(observation)
            
            execution_time = time.time() - start_time
            self.metrics['total_execution_time'] += execution_time
            
            return {
                'url': url,
                'observations': observations,
                'dom_structure': dom_structure,
                'exploration_time': execution_time
            }
            
        except Exception as e:
            self.metrics['tasks_failed'] += 1
            return {'error': str(e)}
    
    def analyze_dom_structure(self):
        """Analyze DOM structure for UI patterns"""
        return {
            'forms': self.driver.find_elements(By.TAG_NAME, 'form'),
            'buttons': self.driver.find_elements(By.TAG_NAME, 'button'),
            'inputs': self.driver.find_elements(By.TAG_NAME, 'input'),
            'links': self.driver.find_elements(By.TAG_NAME, 'a'),
            'navigation': self.driver.find_elements(By.TAG_NAME, 'nav')
        }
    
    def catalog_interactive_elements(self):
        """Catalog all interactive elements on the page"""
        interactive_elements = []
        
        # Find clickable elements
        clickable = self.driver.find_elements(
            By.CSS_SELECTOR, 
            'button, input[type="button"], input[type="submit"], a, [onclick]'
        )
        
        for elem in clickable:
            if elem.is_displayed() and elem.is_enabled():
                interactive_elements.append({
                    'element': elem,
                    'type': 'clickable',
                    'text': elem.text[:50],
                    'tag': elem.tag_name
                })
        
        return interactive_elements
    
    def translate_phase(self, observations):
        """Phase 2: Extract skills from exploration observations"""
        patterns = self.analyze_interaction_patterns(observations)
        workflows = self.extract_successful_workflows(observations)
        skills = self.extract_skills(patterns, workflows)
        
        # Generate SKAP adapter structure
        adapter = {
            'role': 'Web Automation Specialist',
            'goal': 'Complete web automation tasks efficiently',
            'expertise': 'Expert in UI interaction patterns and error handling',
            'skills': skills,
            'workflows': workflows,
            'domain_knowledge': self.extract_domain_knowledge(observations)
        }
        
        return adapter
    
    def analyze_interaction_patterns(self, observations):
        """Identify recurring patterns in successful interactions"""
        patterns = {}
        
        # Group by action type
        action_groups = {}
        for obs in observations:
            action_type = obs['action']
            if action_type not in action_groups:
                action_groups[action_type] = []
            action_groups[action_type].append(obs)
        
        # Find successful patterns
        for action_type, obs_list in action_groups.items():
            successful_obs = [obs for obs in obs_list if obs['outcome'] == 'success']
            
            if successful_obs:
                patterns[action_type] = {
                    'success_rate': len(successful_obs) / len(obs_list),
                    'common_selectors': self.find_common_selectors(successful_obs),
                    'timing_patterns': self.analyze_timing(successful_obs)
                }
        
        return patterns
    
    def execute_phase(self, task_name, parameters, adapter):
        """Phase 3: Execute specialized automation task using adapter"""
        start_time = time.time()
        
        try:
            # Apply role-specific context
            self.set_execution_context(adapter['role'], adapter['goal'])
            
            # Plan execution using domain expertise
            execution_plan = self.plan_with_expertise(task_name, adapter['workflows'])
            
            # Execute with skill-guided actions
            if task_name == 'product_search':
                result = self.product_search_task(parameters, adapter)
            elif task_name == 'form_submission':
                result = self.form_submission_task(parameters, adapter)
            elif task_name == 'navigation_task':
                result = self.navigation_task(parameters, adapter)
            else:
                result = self.generic_task_execution(task_name, parameters, adapter)
            
            # Validate using domain knowledge
            validation = self.validate_with_domain_knowledge(result, adapter)
            
            self.metrics['tasks_completed'] += 1
            execution_time = time.time() - start_time
            
            return {
                'success': True,
                'result': result,
                'validation': validation,
                'execution_time': execution_time
            }
                
        except Exception as e:
            self.metrics['tasks_failed'] += 1
            execution_time = time.time() - start_time
            return {
                'success': False,
                'error': str(e),
                'execution_time': execution_time
            }
    
    def product_search_task(self, params, adapter):
        """Specialized e-commerce product search using SKAP skills"""
        query = params.get('query', '')
        
        # Use adapter skills for element identification
        search_selectors = adapter['skills'].get('search_interaction', {}).get('selectors', [
            'input[type="search"]', 'input[name*="search"]', 'input[placeholder*="search"]'
        ])
        
        # Find search input using learned patterns
        search_input = None
        for selector in search_selectors:
            try:
                search_input = self.wait.until(
                    EC.presence_of_element_located((By.CSS_SELECTOR, selector))
                )
                break
            except:
                continue
        
        if not search_input:
            raise Exception("Could not find search input using learned patterns")
        
        # Perform search
        search_input.clear()
        search_input.send_keys(query)
        
        # Find and click search button using adapter knowledge
        button_selectors = adapter['skills'].get('button_interaction', {}).get('selectors', [
            'button[type="submit"]', 'input[type="submit"]', 'button:contains("Search")'
        ])
        
        for selector in button_selectors:
            try:
                search_button = self.driver.find_element(By.CSS_SELECTOR, selector)
                search_button.click()
                break
            except:
                continue
        
        # Wait for results using domain knowledge
        result_selectors = adapter['domain_knowledge'].get('result_patterns', [
            '.product', '.item', '[data-testid*="product"]'
        ])
        
        for selector in result_selectors:
            try:
                self.wait.until(EC.presence_of_element_located((By.CSS_SELECTOR, selector)))
                break
            except:
                continue
        
        # Extract results
        products = []
        for selector in result_selectors:
            try:
                product_elements = self.driver.find_elements(By.CSS_SELECTOR, selector)
                if product_elements:
                    products = product_elements[:5]  # Limit to first 5 results
                    break
            except:
                continue
        
        results = []
        for product in products:
            try:
                name = product.find_element(By.CSS_SELECTOR, 'h1, h2, h3, .title, .name').text
                price_element = product.find_element(By.CSS_SELECTOR, '.price, [data-testid*="price"]')
                price_text = price_element.text
                
                results.append({
                    'name': name,
                    'price': price_text
                })
            except:
                continue
        
        return {
            'query': query,
            'results': results,
            'total_found': len(products)
        }
    
    def get_performance_metrics(self):
        """Get current performance metrics"""
        total_tasks = self.metrics['tasks_completed'] + self.metrics['tasks_failed']
        if total_tasks > 0:
            self.metrics['success_rate'] = (self.metrics['tasks_completed'] / total_tasks) * 100
        
        return self.metrics
    
    def close(self):
        """Clean up resources"""
        self.driver.quit()

# Usage example demonstrating all three SKAP phases
if __name__ == "__main__":
    # Initialize SKAP automation
    skap = SKAPWebAutomation(headless=False)
    
    try:
        # Phase 1: Learn - Explore target platform
        print("Phase 1: Learning...")
        learning_result = skap.learn_phase("https://example-ecommerce.com")
        print(f"Learning completed: {len(learning_result.get('observations', []))} observations")
        
        # Phase 2: Translate - Extract skills and create adapter
        print("Phase 2: Translating...")
        adapter = skap.translate_phase(learning_result['observations'])
        print(f"Adapter created with {len(adapter['skills'])} skills")
        
        # Phase 3: Execute - Use adapter for specialized task
        print("Phase 3: Executing...")
        task_result = skap.execute_phase('product_search', {
            'query': 'wireless headphones'
        }, adapter)
        print(f"Task result: {task_result}")
        
        # Get performance metrics
        metrics = skap.get_performance_metrics()
        print(f"Performance: {metrics}")
        
    finally:
        skap.close()