"""
Compliance module for Quantum-AI Platform.

Ensures adherence to regulatory, ethical, security, and quantum computing standards.
"""

import logging
from quantum_finance.backend.security_audit import perform_security_audit
from quantum_finance.backend.data_pipeline import audit_data_handling
from quantum_finance.backend.quantum_algorithms import validate_quantum_algorithm
from quantum_finance.backend.record_error import record_compliance_issue

class ComplianceManager:
    """Manages compliance checks and audits."""

    def __init__(self):
        self.logger = logging.getLogger(__name__)

    def audit_data_compliance(self, data_pipeline):
        """Audit data handling practices for compliance."""
        compliance_issues = []
        if not data_pipeline.is_data_encrypted():
            compliance_issues.append("Data encryption is not enabled.")
        if data_pipeline.contains_sensitive_data():
            if not data_pipeline.is_data_anonymized():
                compliance_issues.append("Sensitive data is not anonymized.")
        self._log_issues("Data Compliance Audit", compliance_issues)
        return compliance_issues

    def audit_quantum_algorithm_compliance(self, quantum_algorithm):
        """Audit quantum algorithms for ethical and standard compliance."""
        compliance_issues = []
        if not quantum_algorithm_meets_standards(quantum_algorithm):
            compliance_issues.append(f"Quantum algorithm {quantum_algorithm.name} does not meet industry standards.")
        return compliance_issues

    def audit_security_compliance(self):
        """Perform security compliance audit."""
        issues = perform_security_audit()
        if issues:
            logging.warning("Security compliance issues found: %s", issues)
        return issues

    def generate_compliance_report(self):
        """Generate a comprehensive compliance report."""
        report = {
            "data_compliance": self.audit_data_compliance(),
            "security_compliance": self.audit_security_compliance(),
            # Add other compliance audits as needed
        }
        return report_summary(report)

def quantum_algorithm_meets_standards(algorithm):
    """Check if quantum algorithm meets predefined standards."""
    # Implement checks based on your project's quantum standards
    return True  # Placeholder implementation

def report_summary(report):
    """Generate a human-readable summary of compliance audit results."""
    summary = "Compliance Audit Report:\n"
    for category, issues in report.items():
        if issues:
            summary += f"{category} issues:\n"
            for issue in issues:
                summary += f"- {issue}\n"
        else:
            summary += f"{category}: No issues found.\n"
    return summary