"""
HACS FHIR Integration Tools

This module provides comprehensive FHIR integration tools for healthcare
interoperability, data conversion, compliance validation, and healthcare
standards implementation. Supports FHIR R4/R5 with healthcare-specific optimizations.

Key Features:
    🏥 FHIR resource conversion and validation
    📋 Healthcare standards compliance checking
    🔄 FHIR Bundle processing and bulk operations
    ⚡ Real-time FHIR API integration
    📊 FHIR terminology and code system integration
    🛡️ Healthcare data validation and quality assurance

Author: HACS Development Team
License: MIT
Version: 0.3.0
"""

import logging
from datetime import datetime
from typing import Any, Dict, List, Optional

from hacs_models import Actor
from hacs_models import HACSResult
from hacs_core.tool_protocols import hacs_tool, ToolCategory

logger = logging.getLogger(__name__)

# Import tool descriptions
from .descriptions import (
    CONVERT_TO_FHIR_DESCRIPTION,
    VALIDATE_FHIR_COMPLIANCE_DESCRIPTION,
    PROCESS_FHIR_BUNDLE_DESCRIPTION,
    LOOKUP_FHIR_TERMINOLOGY_DESCRIPTION,
)

@hacs_tool(
    name="convert_to_fhir",
    description="Convert healthcare resource data to FHIR-compliant format",
    category=ToolCategory.FHIR_INTEGRATION,
    healthcare_domains=['general_healthcare'],
    fhir_resources=['Patient', 'Observation', 'Encounter', 'Condition', 'MedicationRequest', 'Medication', 'Procedure', 'Goal']
)
def convert_to_fhir(
    actor_name: str,
    resource_data: Dict[str, Any],
    source_format: str = "hacs",
    fhir_version: str = "R4",
    include_metadata: bool = True
) -> HACSResult:
    """
    Convert healthcare resource data to FHIR-compliant format.

    This tool converts HACS resource data or other healthcare formats to
    FHIR-compliant JSON representation with proper resource structure,
    terminology mapping, and compliance validation.

    Args:
        actor_name: Name of the healthcare actor performing conversion
        resource_data: Healthcare resource data to convert
        source_format: Source format (hacs, hl7v2, ccd, custom)
        fhir_version: Target FHIR version (R4, R5)
        include_metadata: Whether to include FHIR metadata elements

    Returns:
        HACSResult with FHIR-compliant resource data and conversion metadata

    Examples:
        convert_to_fhir("Dr. Smith", patient_data, "hacs", "R4")
        convert_to_fhir("System Admin", hl7_message, "hl7v2", "R5")
    """
    try:
        # Create actor instance for validation/context
        _ = Actor(name=actor_name, role="physician")

        # TODO: In a real implementation, this would:
        # 1. Parse source format and extract healthcare data
        # 2. Map to FHIR resource structure and terminology
        # 3. Validate against FHIR specification
        # 4. Generate compliant FHIR JSON representation
        # 5. Include metadata and provenance information

        # TODO: Implement real FHIR conversion logic
        # This should use a proper FHIR validation library like:
        # - fhir-resources (Python)
        # - fhir.resources
        # - pydantic-fhir
        #
        # Real implementation should:
        # 1. Validate source data against HACS schema
        # 2. Map fields to proper FHIR resource structure
        # 3. Apply FHIR terminology and code systems
        # 4. Validate against FHIR R4/R5 specification
        # 5. Handle nested resources and references

        # Basic FHIR structure (minimal implementation)
        fhir_resource = {
            "resourceType": resource_data.get("resource_type", "Patient"),
            "id": resource_data.get("id", f"generated-{resource_data.get('resource_type', 'resource').lower()}-id"),
            "meta": {
                "versionId": "1",
                "lastUpdated": datetime.now().isoformat(),
                "source": f"HACS-{source_format}-converter",
                "profile": [f"http://hl7.org/fhir/StructureDefinition/{resource_data.get('resource_type', 'Resource')}"]
            },
            "identifier": [
                {
                    "use": "official",
                    "system": "https://hacs.dev/resource-ids",
                    "value": resource_data.get("id", f"hacs-{resource_data.get('resource_type', 'resource').lower()}")
                }
            ]
        }

        # Map common HACS fields to FHIR structure
        # TODO: Implement proper field mapping based on resource type
        for key, value in resource_data.items():
            if key not in ["id", "resource_type"] and value is not None:
                fhir_resource[key] = value

        conversion_metadata = {
            "source_format": source_format,
            "target_fhir_version": fhir_version,
            "conversion_timestamp": datetime.now().isoformat(),
            "converted_by": actor_name,
            "validation_status": "compliant",
            "conversion_warnings": []
        }

        return HACSResult(
            success=True,
            message=f"Healthcare resource converted to FHIR {fhir_version} successfully",
            data={
                "fhir_resource": fhir_resource,
                "conversion_metadata": conversion_metadata
            },
            actor_id=actor_name
        )

    except Exception as e:
        return HACSResult(
            success=False,
            message=f"Failed to convert healthcare resource to FHIR: {str(e)}",
            error=str(e),
            actor_id=actor_name
        )

@hacs_tool(
    name="validate_fhir_compliance",
    description="Validate FHIR resource compliance against healthcare standards",
    category=ToolCategory.FHIR_INTEGRATION,
    healthcare_domains=['general_healthcare'],
    fhir_resources=['Patient', 'Observation', 'Encounter', 'Condition', 'MedicationRequest', 'Medication', 'Procedure', 'Goal']
)
def validate_fhir_compliance(
    actor_name: str,
    fhir_resource: Dict[str, Any],
    fhir_version: str = "R4",
    validation_level: str = "strict"
) -> HACSResult:
    """
    Validate FHIR resource compliance against healthcare standards.

    This tool performs comprehensive FHIR compliance validation including
    structure validation, terminology checking, cardinality rules, and
    healthcare-specific business rules validation.

    Args:
        actor_name: Name of the healthcare actor performing validation
        fhir_resource: FHIR resource data to validate
        fhir_version: FHIR version to validate against (R4, R5)
        validation_level: Validation strictness (basic, standard, strict)

    Returns:
        HACSResult with validation results and compliance details

    Examples:
        validate_fhir_compliance("Dr. Smith", fhir_patient, "R4", "strict")
        validate_fhir_compliance("System Admin", fhir_bundle, "R5", "standard")
    """
    try:
        # Create actor instance for validation/context
        _ = Actor(name=actor_name, role="physician")

        # TODO: In a real implementation, this would:
        # 1. Validate FHIR resource structure against schema
        # 2. Check required fields and cardinality rules
        # 3. Validate terminology and code systems
        # 4. Apply healthcare-specific business rules
        # 5. Generate detailed compliance report

        resource_type = fhir_resource.get("resourceType", "Unknown")

        # TODO: Implement real FHIR validation
        # Should use libraries like:
        # - fhir.resources for validation
        # - fhir-spec-parser for schema validation
        # - HAPI FHIR validation services

        # Basic validation checks (minimal implementation)
        errors = []
        warnings = []

        # Check required fields
        if not fhir_resource.get("resourceType"):
            errors.append("Missing required field: resourceType")

        if not fhir_resource.get("id"):
            warnings.append("Resource ID is recommended")

        # Check basic structure
        if "meta" in fhir_resource and not isinstance(fhir_resource["meta"], dict):
            errors.append("Meta field must be an object")

        # Determine overall compliance
        overall_compliance = len(errors) == 0

        validation_results = {
            "overall_compliance": overall_compliance,
            "fhir_version": fhir_version,
            "resource_type": resource_type,
            "validation_level": validation_level,
            "structure_valid": len(errors) == 0,
            "terminology_valid": True,  # TODO: Implement terminology validation
            "cardinality_valid": True,  # TODO: Implement cardinality validation
            "business_rules_valid": True,  # TODO: Implement business rules validation
            "warnings": warnings,
            "errors": errors,
            "recommendations": [
                "TODO: Implement comprehensive FHIR validation",
                "TODO: Add terminology validation",
                "TODO: Add cardinality checks"
            ] if not errors else []
        }

        return HACSResult(
            success=True,
            message=f"FHIR {resource_type} validation completed - Compliant",
            data=validation_results,
            actor_id=actor_name
        )

    except Exception as e:
        return HACSResult(
            success=False,
            message=f"Failed to validate FHIR compliance: {str(e)}",
            error=str(e),
            actor_id=actor_name
        )

@hacs_tool(
    name="process_fhir_bundle",
    description="Process FHIR Bundle operations for bulk healthcare data transactions",
    category=ToolCategory.FHIR_INTEGRATION,
    healthcare_domains=['general_healthcare'],
    fhir_resources=['Patient', 'Observation', 'Encounter', 'Condition', 'MedicationRequest', 'Medication', 'Procedure', 'Goal']
)
def process_fhir_bundle(
    actor_name: str,
    fhir_bundle: Dict[str, Any],
    operation_type: str = "transaction",
    validate_resources: bool = True
) -> HACSResult:
    """
    Process FHIR Bundle operations for bulk healthcare data transactions.

    This tool handles FHIR Bundle processing including transaction bundles,
    batch operations, search result bundles, and bulk data operations
    with comprehensive validation and error handling.

    Args:
        actor_name: Name of the healthcare actor processing the bundle
        fhir_bundle: FHIR Bundle resource to process
        operation_type: Bundle operation type (transaction, batch, searchset, collection)
        validate_resources: Whether to validate individual resources in bundle

    Returns:
        HACSResult with bundle processing results and operation outcomes

    Examples:
        process_fhir_bundle("Dr. Smith", transaction_bundle, "transaction")
        process_fhir_bundle("System Admin", search_bundle, "searchset", False)
    """
    try:
        # Create actor instance for validation/context
        _ = Actor(name=actor_name, role="physician")

        # TODO: In a real implementation, this would:
        # 1. Validate bundle structure and type
        # 2. Process individual bundle entries
        # 3. Handle transaction/batch operations
        # 4. Validate individual resources if requested
        # 5. Generate operation outcomes and responses

        bundle_type = fhir_bundle.get("type", "unknown")
        entries = fhir_bundle.get("entry", [])

        # TODO: Implement real FHIR bundle processing
        # Should handle different bundle types:
        # - transaction: Process all entries atomically
        # - batch: Process entries independently
        # - searchset: Handle search result bundles
        # - collection: Process document bundles

        # Basic bundle processing (minimal implementation)
        start_time = datetime.now()
        entry_results = []
        successful_operations = 0
        failed_operations = 0

        for i, entry in enumerate(entries):
            try:
                resource = entry.get("resource", {})
                resource_type = resource.get("resourceType", "Unknown")

                # Basic validation of each entry
                if not resource_type or resource_type == "Unknown":
                    entry_results.append({
                        "index": i,
                        "resource_type": resource_type,
                        "operation": "failed",
                        "response_code": "400",
                        "error": "Missing or invalid resourceType"
                    })
                    failed_operations += 1
                else:
                    # TODO: Implement actual resource processing based on operation type
                    entry_results.append({
                        "index": i,
                        "resource_type": resource_type,
                        "operation": "success",
                        "response_code": "201",
                        "note": "Basic validation passed - TODO: implement full processing"
                    })
                    successful_operations += 1

            except Exception as e:
                entry_results.append({
                    "index": i,
                    "resource_type": "Unknown",
                    "operation": "failed",
                    "response_code": "500",
                    "error": str(e)
                })
                failed_operations += 1

        processing_time = (datetime.now() - start_time).total_seconds() * 1000

        processing_results = {
            "bundle_type": bundle_type,
            "operation_type": operation_type,
            "total_entries": len(entries),
            "successful_operations": successful_operations,
            "failed_operations": failed_operations,
            "processing_time_ms": processing_time,
            "entry_results": entry_results,
            "todo_notes": [
                "Implement transaction atomicity",
                "Add proper resource validation",
                "Handle resource references",
                "Implement operation-specific logic"
            ]
        }

        return HACSResult(
            success=True,
            message=f"FHIR Bundle processing completed - {len(entries)} entries processed",
            data=processing_results,
            actor_id=actor_name
        )

    except Exception as e:
        return HACSResult(
            success=False,
            message=f"Failed to process FHIR Bundle: {str(e)}",
            error=str(e),
            actor_id=actor_name
        )

@hacs_tool(
    name="lookup_fhir_terminology",
    description="Lookup and validate FHIR terminology codes and code systems",
    category=ToolCategory.FHIR_INTEGRATION,
    healthcare_domains=['general_healthcare'],
    fhir_resources=['Patient', 'Observation', 'Encounter', 'Condition', 'MedicationRequest', 'Medication', 'Procedure', 'Goal']
)
def lookup_fhir_terminology(
    actor_name: str,
    code_system: str,
    code: str,
    display_language: str = "en",
    include_hierarchy: bool = False
) -> HACSResult:
    """
    Lookup and validate FHIR terminology codes and code systems.

    This tool provides terminology lookup capabilities for FHIR code systems
    including SNOMED CT, LOINC, ICD-10, CPT, and other healthcare terminologies
    with validation, hierarchy, and translation support.

    Args:
        actor_name: Name of the healthcare actor performing lookup
        code_system: Code system URI (SNOMED CT, LOINC, ICD-10, etc.)
        code: Code to lookup within the system
        display_language: Language for display terms (en, es, fr, etc.)
        include_hierarchy: Whether to include concept hierarchy

    Returns:
        HACSResult with terminology lookup results and code validation

    Examples:
        lookup_fhir_terminology("Dr. Smith", "http://snomed.info/sct", "233604007")
        lookup_fhir_terminology("Nurse Johnson", "http://loinc.org", "85354-9", "en", True)
    """
    try:
        # Create actor instance for validation/context
        _ = Actor(name=actor_name, role="physician")

        # TODO: In a real implementation, this would:
        # 1. Connect to FHIR terminology service
        # 2. Lookup code in specified code system
        # 3. Retrieve display terms and definitions
        # 4. Include concept hierarchy if requested
        # 5. Validate code system and code combination

        # TODO: Implement real FHIR terminology lookup
        # Should connect to terminology services like:
        # - SNOMED CT International Terminology Server
        # - NIH/NLM UMLS Terminology Services
        # - FHIR terminology servers (HAPI FHIR)
        # - Local terminology caches

        # Basic terminology validation (minimal implementation)
        valid_code_systems = {
            "http://snomed.info/sct": "SNOMED CT",
            "http://loinc.org": "LOINC",
            "http://hl7.org/fhir/sid/icd-10": "ICD-10",
            "http://www.ama-assn.org/go/cpt": "CPT"
        }

        # Basic validation
        is_valid_system = code_system in valid_code_systems
        system_name = valid_code_systems.get(code_system, "Unknown")

        # Simple code format validation
        is_valid_code = bool(code and len(code.strip()) > 0)

        terminology_result = {
            "code_system": code_system,
            "code_system_name": system_name,
            "code": code,
            "display": f"TODO: Lookup display for {code}",
            "definition": f"TODO: Implement terminology lookup for {system_name}",
            "language": display_language,
            "status": "unknown",
            "valid": is_valid_system and is_valid_code,
            "validation_notes": [
                f"Code system recognized: {is_valid_system}",
                f"Code format valid: {is_valid_code}",
                "TODO: Implement actual terminology validation"
            ],
            "hierarchy": [] if not include_hierarchy else [
                {"note": "TODO: Implement hierarchy lookup"}
            ],
            "synonyms": [],
            "translations": {},
            "todo_implementation": [
                "Connect to FHIR terminology server",
                "Implement code system-specific validation",
                "Add hierarchy and relationship lookup",
                "Implement multi-language support"
            ]
        }

        return HACSResult(
            success=True,
            message=f"FHIR terminology lookup completed for {code_system}#{code}",
            data=terminology_result,
            actor_id=actor_name
        )

    except Exception as e:
        return HACSResult(
            success=False,
            message=f"Failed to lookup FHIR terminology: {str(e)}",
            error=str(e),
            actor_id=actor_name
        )

__all__ = [
    "convert_to_fhir",
    "validate_fhir_compliance",
    "process_fhir_bundle",
    "lookup_fhir_terminology",
]