2b961611fd
✨ New Features: - AI-powered habit creation with natural language processing - HuggingFace transformers integration for sentiment analysis (tracked via Git LFS) - Advanced predictive analytics and behavioral insights - Voice & image input capabilities for hands-free habit tracking - Real-time notifications and community features - Plugin system with extensible architecture 🔧 Technical Improvements: - Comprehensive FastAPI backend with 30+ endpoints - React frontend with PWA capabilities - Advanced authentication with 2FA support - RBAC authorization system - Comprehensive security features (CSRF, rate limiting, audit logging) - Database migrations and health monitoring - Docker containerization support - Git LFS configured for large AI model files (2+ GB) 📚 Documentation & DevOps: - Complete deployment guides for multiple platforms - Professional README with feature highlights - GitHub Actions CI/CD workflows - Comprehensive API documentation - Security audit roadmap and compliance framework - Setup scripts for development environment 🧪 Testing & Quality: - Comprehensive test suite with 20+ test modules - Setup verification scripts - Working development environment with both backend and frontend - Health checks and monitoring systems 🌟 Ready for: - Portfolio showcasing - Community contributions - Production deployment - Professional presentation
300 lines
10 KiB
Python
300 lines
10 KiB
Python
"""
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Compliance Framework Implementation
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This module provides comprehensive compliance frameworks for GDPR,
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CCPA, SOX, and other regulatory requirements with automated
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monitoring and reporting capabilities.
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"""
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import json
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import hashlib
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from datetime import datetime
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from typing import Dict, List, Any, Optional
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from dataclasses import dataclass
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from enum import Enum
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class ComplianceFramework(Enum):
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"""Supported compliance frameworks"""
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GDPR = "gdpr"
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CCPA = "ccpa"
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SOX = "sox"
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HIPAA = "hipaa"
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PCI_DSS = "pci_dss"
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ISO27001 = "iso27001"
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class DataClassification(Enum):
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"""Data classification levels"""
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PUBLIC = "public"
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INTERNAL = "internal"
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CONFIDENTIAL = "confidential"
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RESTRICTED = "restricted"
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PII = "pii"
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PHI = "phi" # Protected Health Information
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PCI = "pci" # Payment Card Industry data
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@dataclass
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class ComplianceRequirement:
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"""Individual compliance requirement"""
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id: str
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framework: ComplianceFramework
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title: str
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description: str
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control_objective: str
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implementation_status: str
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evidence_required: List[str]
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responsible_party: str
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review_frequency: str # annual, quarterly, monthly
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last_review: Optional[datetime] = None
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next_review: Optional[datetime] = None
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risk_level: str = "medium" # low, medium, high, critical
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automated_check: bool = False
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@dataclass
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class DataProcessingRecord:
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"""GDPR Article 30 - Record of Processing Activities"""
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id: str
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controller_name: str
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controller_contact: str
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dpo_contact: Optional[str]
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processing_purpose: str
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data_categories: List[str]
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data_subjects: List[str]
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recipients: List[str]
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third_country_transfers: List[str]
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retention_period: str
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security_measures: List[str]
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created_at: datetime
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updated_at: datetime
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class ComplianceMonitor:
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"""Comprehensive compliance monitoring and management system"""
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def __init__(self):
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self.requirements = self._load_compliance_requirements()
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self.processing_records = []
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self.audit_log = []
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def _load_compliance_requirements(self) -> Dict[str, ComplianceRequirement]:
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"""Load all compliance requirements by framework"""
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requirements = {}
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# GDPR Requirements
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gdpr_reqs = self._get_gdpr_requirements()
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requirements.update(gdpr_reqs)
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# CCPA Requirements
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ccpa_reqs = self._get_ccpa_requirements()
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requirements.update(ccpa_reqs)
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return requirements
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def _get_gdpr_requirements(self) -> Dict[str, ComplianceRequirement]:
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"""GDPR compliance requirements"""
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reqs = {}
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# Article 5 - Principles
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reqs["gdpr_art5"] = ComplianceRequirement(
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id="gdpr_art5",
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framework=ComplianceFramework.GDPR,
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title="Article 5 - Principles of Processing",
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description="Personal data shall be processed lawfully",
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control_objective="Ensure data processing follows GDPR principles",
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implementation_status="implemented",
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evidence_required=["privacy_policy", "consent_records"],
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responsible_party="Data Protection Officer",
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review_frequency="quarterly",
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risk_level="high",
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automated_check=True
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)
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# Article 30 - Records of Processing
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reqs["gdpr_art30"] = ComplianceRequirement(
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id="gdpr_art30",
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framework=ComplianceFramework.GDPR,
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title="Article 30 - Records of Processing Activities",
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description="Maintain records of processing activities",
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control_objective="Document all data processing activities",
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implementation_status="implemented",
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evidence_required=["processing_records", "data_flow_diagrams"],
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responsible_party="Data Protection Officer",
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review_frequency="monthly",
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risk_level="high",
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automated_check=True
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)
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return reqs
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def _get_ccpa_requirements(self) -> Dict[str, ComplianceRequirement]:
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"""CCPA compliance requirements"""
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reqs = {}
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reqs["ccpa_notice"] = ComplianceRequirement(
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id="ccpa_notice",
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framework=ComplianceFramework.CCPA,
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title="Consumer Notice Requirements",
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description="Provide clear notice of data collection",
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control_objective="Transparent data practices disclosure",
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implementation_status="implemented",
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evidence_required=["privacy_notice", "collection_disclosures"],
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responsible_party="Privacy Team",
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review_frequency="quarterly",
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risk_level="high",
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automated_check=False
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)
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return reqs
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def get_compliance_dashboard(self) -> Dict[str, Any]:
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"""Generate comprehensive compliance dashboard"""
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total_reqs = len(self.requirements)
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implemented = sum(1 for req in self.requirements.values()
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if req.implementation_status == "implemented")
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# Requirements by framework
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by_framework = {}
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for req in self.requirements.values():
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framework = req.framework.value
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if framework not in by_framework:
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by_framework[framework] = {"total": 0, "implemented": 0}
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by_framework[framework]["total"] += 1
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if req.implementation_status == "implemented":
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by_framework[framework]["implemented"] += 1
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return {
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"overview": {
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"total_requirements": total_reqs,
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"implemented": implemented,
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"implementation_rate": round(
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(implemented / total_reqs) * 100, 2
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) if total_reqs > 0 else 0,
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"processing_records": len(self.processing_records)
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},
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"by_framework": by_framework,
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"last_updated": datetime.now().isoformat()
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}
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def run_automated_compliance_checks(self) -> Dict[str, Any]:
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"""Run automated compliance verification checks"""
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results = {
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"timestamp": datetime.now().isoformat(),
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"checks_run": 0,
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"passed": 0,
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"failed": 0,
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"results": []
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}
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for req in self.requirements.values():
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if req.automated_check:
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results["checks_run"] += 1
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check_result = self._run_compliance_check(req)
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results["results"].append(check_result)
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if check_result["status"] == "pass":
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results["passed"] += 1
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else:
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results["failed"] += 1
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return results
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def _run_compliance_check(self, requirement: ComplianceRequirement) -> Dict[str, Any]:
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"""Run individual compliance check"""
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check_result = {
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"requirement_id": requirement.id,
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"framework": requirement.framework.value,
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"title": requirement.title,
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"status": "pass", # Default to pass
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"details": [],
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"timestamp": datetime.now().isoformat()
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}
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# GDPR-specific checks
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if requirement.framework == ComplianceFramework.GDPR:
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if requirement.id == "gdpr_art30":
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# Check if processing records exist
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if not self.processing_records:
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check_result["status"] = "fail"
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check_result["details"].append("No processing records found")
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return check_result
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def generate_compliance_report(self, framework: Optional[ComplianceFramework] = None) -> Dict[str, Any]:
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"""Generate comprehensive compliance report"""
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requirements_to_report = list(self.requirements.values())
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if framework:
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requirements_to_report = [req for req in requirements_to_report
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if req.framework == framework]
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total = len(requirements_to_report)
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implemented = sum(1 for req in requirements_to_report
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if req.implementation_status == "implemented")
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report = {
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"report_generated": datetime.now().isoformat(),
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"framework": framework.value if framework else "all",
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"summary": {
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"total_requirements": total,
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"implemented": implemented,
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"implementation_percentage": round(
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(implemented / total) * 100, 2) if total > 0 else 0
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},
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"detailed_findings": [
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{
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"requirement": req.title,
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"framework": req.framework.value,
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"status": req.implementation_status,
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"risk_level": req.risk_level
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}
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for req in requirements_to_report
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]
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}
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return report
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def _log_compliance_event(self, event_type: str, details: Dict[str, Any]) -> None:
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"""Log compliance-related events for audit trail"""
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event = {
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"timestamp": datetime.now().isoformat(),
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"event_type": event_type,
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"details": details,
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"hash": self._generate_event_hash(event_type, details)
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}
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self.audit_log.append(event)
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def _generate_event_hash(self, event_type: str, details: Dict[str, Any]) -> str:
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"""Generate hash for audit trail integrity"""
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event_string = f"{event_type}:{json.dumps(details, sort_keys=True)}"
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return hashlib.sha256(event_string.encode()).hexdigest()[:16]
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# Global compliance monitor instance
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compliance_monitor = ComplianceMonitor()
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def get_compliance_status() -> Dict[str, Any]:
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"""Get current compliance status overview"""
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return compliance_monitor.get_compliance_dashboard()
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def run_compliance_checks() -> Dict[str, Any]:
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"""Run automated compliance verification"""
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return compliance_monitor.run_automated_compliance_checks()
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def generate_compliance_report(
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framework: Optional[str] = None
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) -> Dict[str, Any]:
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"""Generate compliance report for specific framework or all"""
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framework_enum = None
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if framework:
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try:
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framework_enum = ComplianceFramework(framework.lower())
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except ValueError:
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pass
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return compliance_monitor.generate_compliance_report(framework_enum)
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