#!/usr/bin/env python3
"""
APEC CBPR Certification Readiness Processor

Assesses organizational readiness for APEC CBPR certification against
the 50 program requirements mapped to the nine APEC Privacy Framework principles.
"""

import json
import os
from datetime import datetime
from typing import Any

APEC_PRINCIPLES = {
    "preventing_harm": {
        "name": "Preventing Harm",
        "requirements": ["CBPR-1", "CBPR-2", "CBPR-3", "CBPR-4"],
        "description": "Risk assessment and safeguards to prevent misuse of personal information",
    },
    "notice": {
        "name": "Notice",
        "requirements": ["CBPR-5", "CBPR-6", "CBPR-7", "CBPR-8", "CBPR-9", "CBPR-10"],
        "description": "Clear, conspicuous, and accessible privacy notice",
    },
    "collection_limitation": {
        "name": "Collection Limitation",
        "requirements": ["CBPR-11", "CBPR-12", "CBPR-13", "CBPR-14", "CBPR-15"],
        "description": "Collection limited to relevant information by lawful means",
    },
    "uses": {
        "name": "Uses of Personal Information",
        "requirements": ["CBPR-16", "CBPR-17", "CBPR-18", "CBPR-19", "CBPR-20"],
        "description": "Use limited to identified and compatible purposes",
    },
    "choice": {
        "name": "Choice",
        "requirements": ["CBPR-21", "CBPR-22", "CBPR-23", "CBPR-24", "CBPR-25", "CBPR-26"],
        "description": "Individuals provided with choice regarding their personal information",
    },
    "integrity": {
        "name": "Integrity of Personal Information",
        "requirements": ["CBPR-27", "CBPR-28", "CBPR-29", "CBPR-30"],
        "description": "Accurate, complete, and up-to-date personal information",
    },
    "security": {
        "name": "Security Safeguards",
        "requirements": ["CBPR-31", "CBPR-32", "CBPR-33", "CBPR-34", "CBPR-35", "CBPR-36", "CBPR-37"],
        "description": "Reasonable security safeguards against risks",
    },
    "access_correction": {
        "name": "Access and Correction",
        "requirements": ["CBPR-38", "CBPR-39", "CBPR-40", "CBPR-41", "CBPR-42", "CBPR-43"],
        "description": "Ability to access and correct personal information",
    },
    "accountability": {
        "name": "Accountability",
        "requirements": ["CBPR-44", "CBPR-45", "CBPR-46", "CBPR-47", "CBPR-48", "CBPR-49", "CBPR-50"],
        "description": "Accountability for compliance with privacy measures",
    },
}

PARTICIPATING_ECONOMIES = [
    "United States", "Mexico", "Japan", "Canada",
    "Republic of Korea", "Singapore", "Chinese Taipei",
    "Philippines", "Australia",
]


def assess_cbpr_readiness(
    organization_name: str,
    economy: str,
    requirement_assessments: dict[str, dict[str, Any]],
) -> dict[str, Any]:
    """
    Assess readiness for APEC CBPR certification.

    Args:
        organization_name: Name of the organization.
        economy: APEC economy where the organization is located.
        requirement_assessments: Dict mapping requirement IDs to assessment data.
            Each value: {'met': bool, 'evidence': str, 'gap': str, 'remediation': str}

    Returns:
        CBPR readiness assessment report.
    """
    if economy not in PARTICIPATING_ECONOMIES:
        return {"error": f"{economy} is not a CBPR participating economy"}

    principle_results = []
    total_met = 0
    total_requirements = 0

    for principle_id, principle_info in APEC_PRINCIPLES.items():
        requirements = principle_info["requirements"]
        met_count = 0
        req_details = []

        for req_id in requirements:
            total_requirements += 1
            assessment = requirement_assessments.get(req_id, {})
            is_met = assessment.get("met", False)
            if is_met:
                met_count += 1
                total_met += 1

            req_details.append({
                "requirement_id": req_id,
                "met": is_met,
                "evidence": assessment.get("evidence", ""),
                "gap": assessment.get("gap", "Not assessed") if not is_met else "",
                "remediation": assessment.get("remediation", "") if not is_met else "",
            })

        compliance_rate = round(met_count / len(requirements) * 100, 1) if requirements else 0
        principle_results.append({
            "principle_id": principle_id,
            "principle_name": principle_info["name"],
            "total_requirements": len(requirements),
            "requirements_met": met_count,
            "compliance_rate": compliance_rate,
            "status": "compliant" if compliance_rate == 100 else "partial" if compliance_rate >= 50 else "non_compliant",
            "requirements": req_details,
        })

    overall_rate = round(total_met / total_requirements * 100, 1) if total_requirements > 0 else 0

    if overall_rate == 100:
        readiness = "Ready for certification"
    elif overall_rate >= 90:
        readiness = "Near-ready; minor gaps to address"
    elif overall_rate >= 70:
        readiness = "Moderate gaps; targeted remediation needed"
    else:
        readiness = "Significant gaps; comprehensive remediation required"

    return {
        "metadata": {
            "organization": organization_name,
            "economy": economy,
            "assessment_date": datetime.now().strftime("%Y-%m-%d"),
            "framework": "APEC CBPR System",
        },
        "summary": {
            "total_requirements": total_requirements,
            "requirements_met": total_met,
            "overall_compliance_rate": overall_rate,
            "readiness_level": readiness,
            "principles_fully_compliant": sum(1 for p in principle_results if p["status"] == "compliant"),
        },
        "principle_results": principle_results,
        "gaps": [
            {
                "principle": p["principle_name"],
                "requirements": [r for r in p["requirements"] if not r["met"]],
            }
            for p in principle_results if p["status"] != "compliant"
        ],
    }


if __name__ == "__main__":
    sample_assessments = {
        f"CBPR-{i}": {"met": i <= 40, "evidence": f"Evidence for CBPR-{i}" if i <= 40 else ""}
        for i in range(1, 51)
    }

    report = assess_cbpr_readiness("Sentinel Compliance Group", "United States", sample_assessments)
    print(f"Organization: {report['metadata']['organization']}")
    print(f"Economy: {report['metadata']['economy']}")
    print(f"Overall Compliance: {report['summary']['overall_compliance_rate']}%")
    print(f"Readiness: {report['summary']['readiness_level']}")
    print(f"Principles Fully Compliant: {report['summary']['principles_fully_compliant']}/9")