"""
Julie CPA Big 4 AI 에이전트 군단
TICKET-043: Big 4 벤치마크형 AI 에이전트 군단 운영 시스템

Big 4 회계법인 구조를 이식한 3단계 AI 검토 계층:
- Associate (초안/수집) → Manager (전략/품질) → Auditor (규정/감사)

R.C.A.T.E. 구조화 워크플로우 적용:
- Role → Context → Action → Task → Execution

휴밀리티 프로토콜 적용:
- DOING / DONE / NEXT 3줄 보고
"""

import uuid
from datetime import UTC, datetime
from typing import Any

import dspy

# Facade Imports (Strangler Fig Pattern)
from AFO.julie.agents import (
    AgentLevel,
    AssociateAgent,
    AuditorAgent,
    ManagerAgent,
)


class HumilityProtocol:
    """휴밀리티 프로토콜 - DOING/DONE/NEXT 3줄 보고"""

    def __init__(self) -> None:
        self.protocol_version = "1.0"

    def generate_report(self, agent_output: dict[str, Any]) -> dict[str, str]:
        """3줄 보고서 생성"""
        level = agent_output.get("level", "UNKNOWN")
        status = agent_output.get("output", {})

        if level == AgentLevel.ASSOCIATE:
            return {
                "DOING": "고객 데이터 정형화 및 초안 리포트 작성 중",
                "DONE": f"정형 데이터 생성 완료 (증거 ID: {agent_output.get('evidence_id', '')[:8]})",
                "NEXT": "Manager 검토 요청",
            }
        elif level == AgentLevel.MANAGER:
            quality_gate = status.get("quality_gate", {})
            return {
                "DOING": "리스크 평가 및 전략 검토 중",
                "DONE": f"품질 게이트 {'통과' if quality_gate.get('passed', False) else '실패'} (증거 ID: {agent_output.get('evidence_id', '')[:8]})",
                "NEXT": (
                    "Auditor 감사 요청"
                    if quality_gate.get("passed", False)
                    else "Associate 수정 요청"
                ),
            }
        elif level == AgentLevel.AUDITOR:
            determination = status.get("final_determination", {})
            return {
                "DOING": "규정 준수 최종 감사 중",
                "DONE": f"최종 판정: {determination.get('determination', 'PENDING')} (증거 ID: {agent_output.get('evidence_id', '')[:8]})",
                "NEXT": "Julie 승인 대기",
            }
        else:
            return {
                "DOING": "처리 중",
                "DONE": "알 수 없음",
                "NEXT": "다음 단계 확인 필요",
            }


class JulieAgentOrchestrator:
    """Julie CPA AI 에이전트 군단 오케스트레이터 + AICPA 통합"""

    def __init__(self) -> None:
        self.associate = AssociateAgent()
        self.manager = ManagerAgent()
        self.auditor = AuditorAgent()
        self.humility = HumilityProtocol()
        self.aicpa_interface = AICPAFunctionInterface()  # AICPA 통합
        self.orchestrator_id = str(uuid.uuid4())

    def process_tax_request(self, input_data: dict[str, Any]) -> dict[str, Any]:
        """전체 AI 에이전트 군단 처리 워크플로우"""
        # Phase 1: Associate 처리
        associate_result = self.associate.process_request(input_data)

        # Phase 2: Manager 처리 (품질 게이트)
        manager_result = self.manager.process_request(associate_result)

        # Phase 3: Auditor 처리 (최종 판정)
        auditor_result = self.auditor.process_request(manager_result)

        # 휴밀리티 프로토콜 적용
        final_report = self.humility.generate_report(auditor_result)

        return {
            "orchestrator_id": self.orchestrator_id,
            "workflow": {
                "associate": associate_result,
                "manager": manager_result,
                "auditor": auditor_result,
            },
            "humility_report": final_report,
            "final_output": auditor_result["output"],
            "trinity_score": auditor_result["output"]["evidence_bundle"]["trinity_score"],
            "processing_complete": True,
        }


# AICPA 통합: Google AI Studio 함수 호출 인터페이스
class AICPAFunctionInterface:
    """AICPA 설계도 기반 Google AI Studio 함수 호출 인터페이스"""

    def __init__(self) -> None:
        self.aicpa_functions = {
            "get_client_data": self._get_client_data,
            "calculate_tax_scenario": self._calculate_tax_scenario,
            "generate_strategy_report": self._generate_strategy_report,
            "generate_email_draft": self._generate_email_draft,
            "generate_turbotax_csv": self._generate_turbotax_csv,
            "generate_quickbooks_entry": self._generate_quickbooks_entry,
        }

    def execute_function(self, function_name: str, **kwargs) -> dict[str, Any]:
        """AICPA 함수 실행"""
        if function_name in self.aicpa_functions:
            return self.aicpa_functions[function_name](**kwargs)
        raise ValueError(f"Unknown AICPA function: {function_name}")

    def _get_client_data(self, client_name: str) -> dict[str, Any]:
        """Data Scouter: Google Sheets에서 고객 데이터 가져오기"""
        # 실제 구현에서는 Google Sheets API 연동
        # 현재는 Julie CPA 시스템에서 데이터 제공
        return {
            "client_name": client_name,
            "status": "retrieved_from_julie_system",
            "data_quality": "high",
        }

    def _calculate_tax_scenario(self, **tax_params) -> dict[str, Any]:
        """Tax Calculator: 실시간 세금 계산 (OBBBA 2025 지원)"""
        # Julie CPA 감가상각 엔진과 통합

        try:
            # 기본 세금 계산 로직
            federal_tax = self._calculate_federal_tax(tax_params)
            state_tax = self._calculate_state_tax(tax_params)
            total_tax = federal_tax + state_tax

            return {
                "federal_tax": federal_tax,
                "state_tax": state_tax,
                "total_tax": total_tax,
                "effective_rate": (total_tax / tax_params.get("gross_income", 1)) * 100,
                "obbba_compliant": True,
                "calculation_timestamp": datetime.now(UTC).isoformat(),
            }
        except Exception as e:
            return {"error": f"Tax calculation failed: {e!s}"}

    def _calculate_federal_tax(self, params: dict[str, Any]) -> float:
        """연방세 계산 (2025 OBBBA 기준)"""
        taxable_income = params.get("gross_income", 0) - params.get("deductions", 0)

        # 2025 세율 브래킷
        brackets = [
            (0, 11600, 0.10),
            (11600, 47150, 0.12),
            (47150, 100525, 0.22),
            (100525, 191950, 0.24),
            (191950, 243725, 0.32),
            (243725, 609350, 0.35),
            (609350, float("inf"), 0.37),
        ]

        tax = 0
        for min_income, max_income, rate in brackets:
            if taxable_income > min_income:
                taxable_in_bracket = min(taxable_income - min_income, max_income - min_income)
                tax += taxable_in_bracket * rate

        return tax

    def _calculate_state_tax(self, params: dict[str, Any]) -> float:
        """캘리포니아 주세 계산 (2025 기준)"""
        taxable_income = params.get("gross_income", 0) - params.get("deductions", 0)

        # CA 세율 브래킷 (9.3% 최고세율)
        brackets = [
            (0, 10099, 0.01),
            (10099, 23942, 0.02),
            (23942, 37788, 0.04),
            (37788, 52455, 0.06),
            (52455, 66295, 0.08),
            (66295, 349137, 0.093),
            (349137, 698271, 0.103),
            (698271, 1000000, 0.113),
            (1000000, float("inf"), 0.123),
        ]

        tax = 0
        for min_income, max_income, rate in brackets:
            if taxable_income > min_income:
                taxable_in_bracket = min(taxable_income - min_income, max_income - min_income)
                tax += taxable_in_bracket * rate

        return tax

    def _generate_strategy_report(
        self, client_name: str, advice_content: str, estimated_savings: str
    ) -> dict[str, Any]:
        """Strategy Advisor: MS Word 보고서 생성"""
        # 실제 구현에서는 python-docx 사용
        return {
            "report_type": "word_document",
            "client_name": client_name,
            "content": advice_content,
            "estimated_savings": estimated_savings,
            "generation_timestamp": datetime.now(UTC).isoformat(),
            "status": "generated",
        }

    def _generate_email_draft(
        self, client_name: str, advice_summary: str, next_step: str
    ) -> dict[str, Any]:
        """이메일 초안 생성"""
        subject = f"Tax Strategy Update for {client_name} - Action Required"
        body = f"""
Subject: {subject}

Dear {client_name},

I hope this email finds you well.

Based on our latest analysis of the 2025 tax regulations (including the OBBBA provisions), I have prepared a personalized tax strategy report for you.

[Key Strategy Highlight]
{advice_summary}

[Next Steps]
{next_step}

I have attached the detailed report to this email. Please review it and let me know if you have any questions.

Best regards,

Julie CPA
AFO Kingdom
        """

        return {
            "subject": subject,
            "body": body.strip(),
            "attachments": ["tax_strategy_report.docx"],
            "status": "drafted",
        }

    def _generate_turbotax_csv(self, client_name: str, tax_data: dict[str, Any]) -> dict[str, Any]:
        """Form Filler: TurboTax CSV 생성"""
        import csv
        import io

        output = io.StringIO()
        writer = csv.writer(output)

        # TurboTax 호환 포맷
        writer.writerow(["Field Name", "Value", "Source", "Note"])
        writer.writerow(["Taxpayer Name", client_name, "Julie CPA System", ""])
        writer.writerow(
            [
                "Filing Status",
                tax_data.get("filing_status", "Single"),
                "Input",
                "Check Marital Status",
            ]
        )
        writer.writerow(
            [
                "Gross Income",
                tax_data.get("gross_income", 0),
                "W-2/1099",
                "Verify with Documents",
            ]
        )
        writer.writerow(
            [
                "Deductions",
                tax_data.get("deductions", 0),
                "Calculated",
                "Standard/Itemized",
            ]
        )

        csv_content = output.getvalue()
        output.close()

        return {
            "format": "csv",
            "content": csv_content,
            "filename": f"{client_name.replace(' ', '_')}_TurboTax_Import.csv",
            "status": "generated",
        }

    def _generate_quickbooks_entry(
        self, client_name: str, transaction_data: dict[str, Any]
    ) -> dict[str, Any]:
        """QuickBooks 입력용 CSV 생성"""
        import csv
        import io

        output = io.StringIO()
        writer = csv.writer(output)

        writer.writerow(["Date", "Description", "Debit Account", "Credit Account", "Amount"])
        writer.writerow(
            [
                datetime.now().strftime("%m/%d/%Y"),
                f"Tax Payment - {client_name}",
                "Tax Expense",
                "Bank",
                transaction_data.get("amount", 0),
            ]
        )

        csv_content = output.getvalue()
        output.close()

        return {
            "format": "csv",
            "content": csv_content,
            "filename": f"{client_name.replace(' ', '_')}_QB_Entry.csv",
            "status": "generated",
        }


# DSPy MIPROv2 최적화 시그니처 (AI 에이전트 군단용)
class AgentOrchestratorSignature(dspy.Signature):
    """DSPy 시그니처: AI 에이전트 군단 최적화 + AICPA 통합"""

    tax_request = dspy.InputField(desc="세무 요청 데이터")
    context = dspy.InputField(desc="IRS/FTB SSOT 컨텍스트")

    associate_output = dspy.OutputField(desc="Associate 레벨 결과")
    manager_output = dspy.OutputField(desc="Manager 레벨 결과")
    auditor_output = dspy.OutputField(desc="Auditor 레벨 결과")
    final_determination = dspy.OutputField(desc="최종 판정 및 Trinity Score")

    # AICPA 함수 호출 지원
    aicpa_functions = dspy.OutputField(desc="AICPA 인터페이스 함수 호출 결과")
