"""
AWS Bedrock Advanced Guardrails Security Checks Module

This module implements comprehensive validation for AWS Bedrock Guardrails,
going beyond simple existence checks to validate configuration strength
and effectiveness.

Priority: CRITICAL
Effort: 1-2 weeks
OWASP Coverage: LLM01 (Prompt Injection), LLM02 (Insecure Output Handling)
MITRE ATLAS: AML.T0051 (LLM Prompt Injection)

See ROADMAP.md Section 1.3 for complete implementation details.
"""

from typing import Dict, List, Optional
from ..enums import RiskLevel


class GuardrailSecurityChecks:
    """Advanced security checks for AWS Bedrock Guardrails."""

    def __init__(self, checker):
        """
        Initialize guardrail security checks.

        Args:
            checker: Reference to main BedrockSecurityChecker instance
        """
        self.checker = checker
        self.bedrock = checker.bedrock
        self.findings = []

    def check_guardrail_strength_configuration(self) -> List[Dict]:
        """
        Verify guardrails use HIGH strength settings, not LOW or MEDIUM.

        CRITICAL: LOW/MEDIUM guardrails are less effective at blocking
        prompt injection and harmful content.

        Returns:
            List of security findings

        TODO: Implement check for:
        - List all guardrails via bedrock:ListGuardrails
        - Get guardrail details via bedrock:GetGuardrail
        - Check contentPolicyConfig filter strength
        - Flag any guardrails with LOW or MEDIUM strength
        - Risk Score: 8/10 for LOW strength, 6/10 for MEDIUM
        """
        raise NotImplementedError("See ROADMAP.md Section 1.3.1")

    def check_automated_reasoning_enabled(self) -> List[Dict]:
        """
        Check if Automated Reasoning is enabled for hallucination prevention.

        NEW 2025 FEATURE: Automated Reasoning mathematically validates
        model outputs against ground truth to prevent hallucinations.

        Returns:
            List of security findings

        TODO: Implement check for:
        - Check if guardrails have contextualGroundingPolicyConfig
        - Verify grounding filters are enabled
        - Check hallucination detection thresholds
        - Flag guardrails without Automated Reasoning
        - Risk Score: 7/10 for missing Automated Reasoning
        """
        raise NotImplementedError("See ROADMAP.md Section 1.3.2")

    def check_content_filter_coverage(self) -> List[Dict]:
        """
        Validate all threat categories are configured in content filters.

        Returns:
            List of security findings

        TODO: Implement check for:
        - Verify contentPolicyConfig includes all categories:
          * VIOLENCE
          * HATE
          * INSULTS
          * MISCONDUCT
          * PROMPT_ATTACK (most important for security)
        - Flag guardrails missing any category
        - Risk Score: 9/10 for missing PROMPT_ATTACK
        """
        raise NotImplementedError("See ROADMAP.md Section 1.3.3")

    def check_pii_filters_enabled(self) -> List[Dict]:
        """
        Verify PII filters are enabled and properly configured.

        Returns:
            List of security findings

        TODO: Implement check for:
        - Check sensitiveInformationPolicyConfig
        - Verify PII entity types are configured
        - Check for at least: NAME, EMAIL, PHONE, SSN, CREDIT_CARD
        - Verify action is BLOCK, not just ANONYMIZE
        - Risk Score: 8/10 for missing PII filters
        """
        raise NotImplementedError("See ROADMAP.md Section 1.3.4")

    def check_topic_filters_configured(self) -> List[Dict]:
        """
        Validate topic denial filters for unauthorized use cases.

        Returns:
            List of security findings

        TODO: Implement check for:
        - Check topicPolicyConfig
        - Verify topic filters are defined
        - Check for business-specific restricted topics
        - Risk Score: 6/10 for no topic filters
        """
        raise NotImplementedError("See ROADMAP.md Section 1.3.5")

    def check_word_filters_configured(self) -> List[Dict]:
        """
        Check if managed/custom word filters are configured.

        Returns:
            List of security findings

        TODO: Implement check for:
        - Check wordPolicyConfig
        - Verify managed word lists are enabled
        - Check for custom profanity filters
        - Risk Score: 5/10 for missing word filters
        """
        raise NotImplementedError("See ROADMAP.md Section 1.3.6")

    def check_guardrail_coverage(self) -> List[Dict]:
        """
        Analyze which Bedrock resources lack guardrail protection.

        Returns:
            List of security findings

        TODO: Implement check for:
        - List all model invocations (via CloudTrail last 24h)
        - Identify models being used without guardrails
        - List agents without guardrails
        - Flag high-risk unprotected resources
        - Risk Score: 9/10 for critical models without guardrails
        """
        raise NotImplementedError("See ROADMAP.md Section 1.3.7")

    def check_guardrail_version_management(self) -> List[Dict]:
        """
        Validate guardrail versioning and deployment strategy.

        Returns:
            List of security findings

        TODO: Implement check for:
        - Check if DRAFT versions are being used in production
        - Verify version tags and deployment practices
        - Flag use of draft guardrails
        - Risk Score: 7/10 for production use of DRAFT
        """
        raise NotImplementedError("See ROADMAP.md Section 1.3.8")

    def check_guardrail_kms_encryption(self) -> List[Dict]:
        """
        Verify guardrails use customer-managed KMS keys.

        Returns:
            List of security findings

        TODO: Implement check for:
        - Check kmsKeyId configuration
        - Flag guardrails using AWS-managed keys
        - Verify key policies are restrictive
        - Risk Score: 6/10 for AWS-managed keys
        """
        raise NotImplementedError("See ROADMAP.md Section 1.3.9")

    def check_guardrail_tags(self) -> List[Dict]:
        """
        Validate guardrails have proper tagging.

        Returns:
            List of security findings

        TODO: Implement check for:
        - List all guardrails and their tags
        - Check for required tags (Environment, Purpose, Severity)
        - Flag untagged guardrails
        - Risk Score: 4/10 for missing tags
        """
        raise NotImplementedError("See ROADMAP.md Section 1.3.10")

    def check_contextual_grounding_sources(self) -> List[Dict]:
        """
        Validate contextual grounding configuration for RAG applications.

        Returns:
            List of security findings

        TODO: Implement check for:
        - Check contextualGroundingPolicyConfig
        - Verify grounding sources are configured
        - Check relevance and grounding thresholds
        - Risk Score: 7/10 for missing grounding in RAG apps
        """
        raise NotImplementedError("See ROADMAP.md Section 1.3.11")

    def run_all_checks(self) -> List[Dict]:
        """
        Run all advanced guardrail security checks.

        Returns:
            List of all security findings
        """
        print("[CHECK] Running AWS Bedrock Guardrails security checks...")

        # TODO: Uncomment as each check is implemented
        # self.findings.extend(self.check_guardrail_strength_configuration())
        # self.findings.extend(self.check_automated_reasoning_enabled())
        # self.findings.extend(self.check_content_filter_coverage())
        # self.findings.extend(self.check_pii_filters_enabled())
        # self.findings.extend(self.check_topic_filters_configured())
        # self.findings.extend(self.check_word_filters_configured())
        # self.findings.extend(self.check_guardrail_coverage())
        # self.findings.extend(self.check_guardrail_version_management())
        # self.findings.extend(self.check_guardrail_kms_encryption())
        # self.findings.extend(self.check_guardrail_tags())
        # self.findings.extend(self.check_contextual_grounding_sources())

        print(f"[INFO] Guardrail security checks: {len(self.findings)} findings")
        return self.findings
