"""
SkillEnhancementBot
Generated by Eden via recursive self-improvement
2025-11-01 13:27:25.342904
"""

import requests

class SkillEnhancementBot:
    """
    A bot designed to assist in the identification of skills for improvement and provide learning resources.
    
    Methods:
        __init__(self): Initializes the SkillEnhancementBot with a base URL for API access.
        assess_skills(self, user_data): Analyzes user input data to identify skill gaps.
        recommend_learning_resources(self, skill_gap): Suggests relevant online courses or articles based on identified skill gaps.
        track_progress(self, progress_data): Monitors and records the progress of skills improvement efforts.
    """
    
    def __init__(self, base_url):
        self.base_url = base_url
    
    def assess_skills(self, user_data):
        """Assesses user's current skills compared to desired capabilities."""
        # Example user_data: {"communication": 3, "leadership": 4, "data_analysis": 2}
        response = requests.post(f"{self.base_url}/assess", json=user_data)
        return response.json()
    
    def recommend_learning_resources(self, skill_gap):
        """Recommends learning resources based on identified skill gaps."""
        # Example skill_gap: {"communication": -1, "leadership": 0, "data_analysis": -2}
        response = requests.post(f"{self.base_url}/recommend", json=skill_gap)
        return response.json()
    
    def track_progress(self, progress_data):
        """Tracks the progress of skills improvement efforts."""
        # Example progress_data: {"communication": 3.5, "leadership": 4.2, "data_analysis": 2.8}
        response = requests.post(f"{self.base_url}/track", json=progress_data)
        return response.json()

# Example usage
if __name__ == "__main__":
    bot = SkillEnhancementBot("https://api.example.com/")
    
    # User self-assessment data
    user_data = {"communication": 3, "leadership": 4, "data_analysis": 2}
    
    skill_gaps = bot.assess_skills(user_data)
    print(f"Skill gaps identified: {skill_gaps}")
    
    resources = bot.recommend_learning_resources(skill_gaps)
    print(f"Suggested learning resources: {resources}")
    
    progress_data = {"communication": 3.5, "leadership": 4.2, "data_analysis": 2.8}
    tracked_progress = bot.track_progress(progress_data)
    print(f"Progress recorded: {tracked_progress}")