import datetime from enum import Enum from typing import List, Dict, Any, Optional import random class GapImpact(Enum): LOW = 1 MEDIUM = 2 HIGH = 3 CRITICAL = 4 def __lt__(self, other): if not isinstance(other, GapImpact): return NotImplemented return self.value < other.value def __gt__(self, other): if not isinstance(other, GapImpact): return NotImplemented return self.value > other.value class Gap: """Represents a detected capability gap.""" def __init__(self, name: str, description: str, impact: GapImpact, detection_date: datetime.date): if not isinstance(name, str) or not name: raise ValueError("Gap name must be a non-empty string.") if not isinstance(description, str) or not description: raise ValueError("Gap description must be a non-empty string.") if not isinstance(impact, GapImpact): raise ValueError("Gap impact must be a GapImpact enum member.") if not isinstance(detection_date, datetime.date): raise ValueError("Detection date must be a datetime.date object.") self.name = name self.description = description self.impact = impact self.detection_date = detection_date def to_dict(self) -> Dict[str, Any]: return { "name": self.name, "description": self.description, "impact": self.impact.name, "detection_date": self.detection_date.isoformat() } def _simulate_gap_detection() -> List[Gap]: """ Simulates the detection of potential capability gaps. In a real system, this would involve analyzing metrics, user feedback, future roadmaps, etc. """ today = datetime.date.today() gaps = [ Gap( name="Missing AI-powered anomaly detection", description="Current anomaly detection is rule-based and misses subtle patterns, leading to delayed incident response.", impact=GapImpact.CRITICAL, detection_date=today - datetime.timedelta(days=5) ), Gap( name="Lack of multi-cloud deployment automation", description="Manual steps are required to deploy services across different cloud providers, slowing down expansion.", impact=GapImpact.HIGH, detection_date=today - datetime.timedelta(days=2) ), Gap( name="Insufficient real-time data streaming capabilities", description="Batch processing for certain analytics limits timely insights for critical business decisions.", impact=GapImpact.HIGH, detection_date=today - datetime.timedelta(days=10) ), Gap( name="Outdated internal documentation platform", description="Documentation is scattered and hard to find, impacting onboarding and knowledge sharing.", impact=GapImpact.MEDIUM, detection_date=today - datetime.timedelta(days=1) ), Gap( name="Limited support for exotic database types", description="Our ORM doesn't natively support obscure NoSQL databases, requiring custom adapters.", impact=GapImpact.LOW, detection_date=today ), Gap( name="Inadequate disaster recovery drills automation", description="DR drills are semi-manual, time-consuming, and prone to human error, reducing confidence in RTO/RPO.", impact=GapImpact.CRITICAL, detection_date=today - datetime.timedelta(days=7) ), ] # Randomly add or remove some to make it a bit dynamic if random.random() < 0.3: gaps.append(Gap( name="No automated security vulnerability scanning in CI/CD", description="Security scanning is a manual gate, slowing down releases and increasing risk.", impact=GapImpact.CRITICAL, detection_date=today )) if random.random() < 0.2 and len(gaps) > 2: gaps.pop(random.randint(0, len(gaps) - 1)) return gaps def rank_gaps(gaps: List[Gap]) -> List[Gap]: """ Ranks detected gaps by their impact, from CRITICAL to LOW. """ if not isinstance(gaps, list): raise TypeError("Input 'gaps' must be a list.") for gap in gaps: if not isinstance(gap, Gap): raise TypeError("All items in 'gaps' list must be Gap objects.") return sorted(gaps, key=lambda g: g.impact, reverse=True) def generate_prd(gap: Gap) -> Dict[str, Any]: """ Generates a simple Product Requirements Document (PRD) for a critical gap. In a real scenario, this would involve a more complex template and potentially integration with a document management system. """ if not isinstance(gap, Gap): raise TypeError("Input 'gap' must be a Gap object.") if gap.impact != GapImpact.CRITICAL: raise ValueError(f"PRD can only be generated for CRITICAL gaps. Found: {gap.impact.name}") return { "prd_title": f"PRD: {gap.name}", "version": "1.0", "date_generated": datetime.date.today().isoformat(), "problem_statement": gap.description, "proposed_solution_summary": f"Develop a solution to address the '{gap.name}' capability gap. This will involve [placeholder for high-level technical approach].", "acceptance_criteria_template": [ "Solution must fully address the problem statement.", "Solution must be scalable and maintainable.", "Solution must integrate with existing systems [list relevant systems].", "Solution must meet performance requirements [define metrics]." ], "stakeholders": ["Product Management", "Engineering Lead", "Security Team" if "security" in gap.name.lower() else ""] } def generate_daily_gap_report() -> Dict[str, Any]: """ Generates the daily proactive gap report. """ report_date = datetime.date.today() detected_gaps = _simulate_gap_detection() ranked_gaps = rank_gaps(detected_gaps) critical_gaps_for_prd = [] generated_prds = [] for gap in ranked_gaps: if gap.impact == GapImpact.CRITICAL: try: prd = generate_prd(gap) generated_prds.append(prd) critical_gaps_for_prd.append(gap.to_dict()) except Exception as e: # Log the error but continue processing other gaps print(f"Error generating PRD for gap '{gap.name}': {e}") report = { "report_date": report_date.isoformat(), "total_gaps_detected": len(detected_gaps), "ranked_gaps": [gap.to_dict() for gap in ranked_gaps], "critical_gaps_requiring_prd": critical_gaps_for_prd, "generated_prds": generated_prds, "summary": ( f"Proactive Gap Detector Report for {report_date.isoformat()}:\n" f"Detected {len(detected_gaps)} potential capability gaps.\n" f"{len(critical_gaps_for_prd)} critical gaps identified, and PRDs were initiated for them." ) } return report if __name__ == "__main__": print("Running Proactive Gap Detector...") try: daily_report = generate_daily_gap_report() import json print(json.dumps(daily_report, indent=2)) print("\nReport generated successfully.") except Exception as e: print(f"An error occurred during report generation: {e}")