2220 Compliance Checker 80a3dc66

# Compliance Checker

## Compliance Checker

```python
from dataclasses import dataclass, field
from typing import List, Dict, Optional
from enum import Enum
from datetime import datetime

class ComplianceStatus(Enum):
    COMPLIANT = "compliant"
    NON_COMPLIANT = "non_compliant"
    PARTIAL = "partial"
    NOT_APPLICABLE = "not_applicable"
    NEEDS_REVIEW = "needs_review"

class Severity(Enum):
    CRITICAL = "critical"
    HIGH = "high"
    MEDIUM = "medium"
    LOW = "low"
    INFO = "info"

@dataclass
class ComplianceControl:
    id: str
    framework: str
    category: str
    requirement: str
    description: str
    status: ComplianceStatus = ComplianceStatus.NEEDS_REVIEW
    evidence: List[str] = field(default_factory=list)
    findings: List[str] = field(default_factory=list)
    remediation: Optional[str] = None
    severity: Severity = Severity.MEDIUM

@dataclass
class ComplianceReport:
    report_id: str
    generated_at: str
    framework: str
    controls: List[ComplianceControl]
    summary: Dict

class KlingAIComplianceChecker:
    """Compliance checking for Kling AI integrations."""

    def __init__(self):
        self.controls: List[ComplianceControl] = []
        self._initialize_controls()

    def _initialize_controls(self):
        """Initialize compliance controls."""
        # Data Protection Controls
        self.controls.extend([
            ComplianceControl(
                id="DP-001",
                framework="GDPR",
                category="Data Protection",
                requirement="Data Minimization",
                description="Only collect and process data necessary for video generation",
                severity=Severity.HIGH
            ),
            ComplianceControl(
                id="DP-002",
                framework="GDPR",
                category="Data Protection",
                requirement="Data Retention",
                description="Define and enforce retention periods for prompts and videos",
                severity=Severity.HIGH
            ),
            ComplianceControl(
                id="DP-003",
                framework="GDPR",
                category="Data Protection",
                requirement="Right to Erasure",
                description="Ability to delete user data upon request",
                severity=Severity.CRITICAL
            ),
        ])

        # Security Controls
        self.controls.extend([
            ComplianceControl(
                id="SEC-001",
                framework="SOC2",
                category="Security",
                requirement="API Key Management",
                description="Secure storage and rotation of API keys",
                severity=Severity.CRITICAL
            ),
            ComplianceControl(
                id="SEC-002",
                framework="SOC2",
                category="Security",
                requirement="Encryption in Transit",
                description="All API calls use HTTPS/TLS",
                severity=Severity.CRITICAL
            ),
            ComplianceControl(
                id="SEC-003",
                framework="SOC2",
                category="Security",
                requirement="Access Control",
                description="Role-based access to video generation",
                severity=Severity.HIGH
            ),
            ComplianceControl(
                id="SEC-004",
                framework="SOC2",
                category="Security",
                requirement="Audit Logging",
                description="Comprehensive logging of all operations",
                severity=Severity.HIGH
            ),
        ])

        # AI Ethics Controls
        self.controls.extend([
            ComplianceControl(
                id="AI-001",
                framework="AI Ethics",
                category="AI Governance",
                requirement="Content Policy",
                description="Implement content filtering for harmful outputs",
                severity=Severity.HIGH
            ),
            ComplianceControl(
                id="AI-002",
                framework="AI Ethics",
                category="AI Governance",
                requirement="Transparency",
                description="Disclose AI-generated content to users",
                severity=Severity.MEDIUM
            ),
            ComplianceControl(
                id="AI-003",
                framework="AI Ethics",
                category="AI Governance",
                requirement="Human Oversight",
                description="Human review process for flagged content",
                severity=Severity.MEDIUM
            ),
        ])

        # Operational Controls
        self.controls.extend([
            ComplianceControl(
                id="OPS-001",
                framework="SOC2",
                category="Operations",
                requirement="Incident Response",
                description="Documented incident response procedures",
                severity=Severity.HIGH
            ),
            ComplianceControl(
                id="OPS-002",
                framework="SOC2",
                category="Operations",
                requirement="Change Management",
                description="Controlled deployment process",
                severity=Severity.MEDIUM
            ),
            ComplianceControl(
                id="OPS-003",
                framework="SOC2",
                category="Operations",
                requirement="Backup & Recovery",
                description="Data backup and recovery procedures",
                severity=Severity.HIGH
            ),
        ])

    def assess_control(
        self,
        control_id: str,
        status: ComplianceStatus,
        evidence: List[str] = None,
        findings: List[str] = None,
        remediation: str = None
    ):
        """Assess a specific control."""
        for control in self.controls:
            if control.id == control_id:
                control.status = status
                if evidence:
                    control.evidence = evidence
                if findings:
                    control.findings = findings
                if remediation:
                    control.remediation = remediation
                return

        raise ValueError(f"Control not found: {control_id}")

    def generate_report(self, framework: str = None) -> ComplianceReport:
        """Generate compliance report."""
        import uuid

        controls = self.controls
        if framework:
            controls = [c for c in controls if c.framework == framework]

        # Calculate summary
        total = len(controls)
        compliant = len([c for c in controls if c.status == ComplianceStatus.COMPLIANT])
        non_compliant = len([c for c in controls if c.status == ComplianceStatus.NON_COMPLIANT])
        partial = len([c for c in controls if c.status == ComplianceStatus.PARTIAL])

        critical_issues = len([
            c for c in controls
            if c.status == ComplianceStatus.NON_COMPLIANT and c.severity == Severity.CRITICAL
        ])

        return ComplianceReport(
            report_id=str(uuid.uuid4())[:8],
            generated_at=datetime.utcnow().isoformat(),
            framework=framework or "All",
            controls=controls,
            summary={
                "total_controls": total,
                "compliant": compliant,
                "non_compliant": non_compliant,
                "partial": partial,
                "compliance_rate": round(compliant / total * 100, 1) if total > 0 else 0,
                "critical_issues": critical_issues,
                "audit_ready": critical_issues == 0 and non_compliant == 0
            }
        )

    def get_remediation_plan(self) -> List[Dict]:
        """Get prioritized remediation plan."""
        non_compliant = [
            c for c in self.controls
            if c.status in [ComplianceStatus.NON_COMPLIANT, ComplianceStatus.PARTIAL]
        ]

        # Sort by severity
        severity_order = {
            Severity.CRITICAL: 0,
            Severity.HIGH: 1,
            Severity.MEDIUM: 2,
            Severity.LOW: 3,
            Severity.INFO: 4
        }

        sorted_controls = sorted(
            non_compliant,
            key=lambda c: severity_order[c.severity]
        )

        return [
            {
                "priority": i + 1,
                "control_id": c.id,
                "requirement": c.requirement,
                "severity": c.severity.value,
                "status": c.status.value,
                "findings": c.findings,
                "remediation": c.remediation or "Define remediation steps"
            }
            for i, c in enumerate(sorted_controls)
        ]

# Usage
checker = KlingAIComplianceChecker()

# Perform assessments
checker.assess_control(
    "SEC-001",
    ComplianceStatus.COMPLIANT,
    evidence=["API keys stored in AWS Secrets Manager", "Key rotation every 90 days"],
)

checker.assess_control(
    "SEC-002",
    ComplianceStatus.COMPLIANT,
    evidence=["All endpoints use HTTPS", "TLS 1.3 enforced"]
)

checker.assess_control(
    "DP-002",
    ComplianceStatus.NON_COMPLIANT,
    findings=["No defined retention policy for generated videos"],
    remediation="Implement 30-day retention policy with auto-deletion"
)

checker.assess_control(
    "AI-001",
    ComplianceStatus.PARTIAL,
    evidence=["Basic content filter implemented"],
    findings=["Filter doesn't cover all prohibited categories"],
    remediation="Expand content filter to include all policy categories"
)

# Generate report
report = checker.generate_report()
print(f"Compliance Rate: {report.summary['compliance_rate']}%")
print(f"Audit Ready: {report.summary['audit_ready']}")

# Get remediation plan
plan = checker.get_remediation_plan()
for item in plan:
    print(f"{item['priority']}. [{item['severity']}] {item['control_id']}: {item['requirement']}")
```