"""
数据模型 - 分析报告
"""

from dataclasses import dataclass, field
from decimal import Decimal
from datetime import datetime
from typing import Optional, Dict, Any


@dataclass
class AnalysisReport:
    """AI补货建议分析报告"""
    
    task_no: str
    group_id: int
    dealer_grouping_id: int
    
    id: Optional[int] = None
    dealer_grouping_name: Optional[str] = None
    brand_grouping_id: Optional[int] = None
    report_type: str = "replenishment"
    
    # 报告各模块 (字典结构)
    replenishment_insights: Optional[Dict[str, Any]] = None
    urgency_assessment: Optional[Dict[str, Any]] = None
    strategy_recommendations: Optional[Dict[str, Any]] = None
    execution_guide: Optional[Dict[str, Any]] = None
    expected_outcomes: Optional[Dict[str, Any]] = None
    
    # 统计信息
    total_suggest_cnt: int = 0
    total_suggest_amount: Decimal = Decimal("0")
    shortage_risk_cnt: int = 0
    excess_risk_cnt: int = 0
    stagnant_cnt: int = 0
    low_freq_cnt: int = 0
    
    # LLM 元数据
    llm_provider: str = ""
    llm_model: str = ""
    llm_tokens: int = 0
    execution_time_ms: int = 0
    
    statistics_date: str = ""
    create_time: Optional[datetime] = None

    def to_dict(self) -> dict:
        """转换为字典"""
        return {
            "task_no": self.task_no,
            "group_id": self.group_id,
            "dealer_grouping_id": self.dealer_grouping_id,
            "dealer_grouping_name": self.dealer_grouping_name,
            "brand_grouping_id": self.brand_grouping_id,
            "report_type": self.report_type,
            "replenishment_insights": self.replenishment_insights,
            "urgency_assessment": self.urgency_assessment,
            "strategy_recommendations": self.strategy_recommendations,
            "execution_guide": self.execution_guide,
            "expected_outcomes": self.expected_outcomes,
            "total_suggest_cnt": self.total_suggest_cnt,
            "total_suggest_amount": float(self.total_suggest_amount),
            "shortage_risk_cnt": self.shortage_risk_cnt,
            "excess_risk_cnt": self.excess_risk_cnt,
            "stagnant_cnt": self.stagnant_cnt,
            "low_freq_cnt": self.low_freq_cnt,
            "llm_provider": self.llm_provider,
            "llm_model": self.llm_model,
            "llm_tokens": self.llm_tokens,
            "execution_time_ms": self.execution_time_ms,
            "statistics_date": self.statistics_date,
        }