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daily_stock_analysis/src/report_language.py
Elvis Wang eb1333a678 feat: 支持通过 --stocks 一次性分析板块指数 (#2300) 
* feat: add one-shot index analysis via --stocks with structured AnalysisTarget pipeline

* fix: render index data sources in aggregate reports

* fix: refresh index registry before --stocks parsing and filter indices on CN holidays

---------

Co-authored-by: zhulinsen <42829555+ZhuLinsen@users.noreply.github.com>
2026-08-28 21:56:48 +08:00

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# -*- coding: utf-8 -*-
"""Helpers for report output language selection and localization."""
from __future__ import annotations
import re
from typing import Any, Dict, Optional
from src.schemas.decision_scale import signal_key_for_score
SUPPORTED_REPORT_LANGUAGES = ("zh", "en", "ko")
_REPORT_LANGUAGE_ALIASES = {
"zh-cn": "zh",
"zh_cn": "zh",
"zh-hans": "zh",
"zh_hans": "zh",
"zh-tw": "zh",
"zh_tw": "zh",
"cn": "zh",
"chinese": "zh",
"english": "en",
"en-us": "en",
"en_us": "en",
"en-gb": "en",
"en_gb": "en",
"korean": "ko",
"kr": "ko",
"ko-kr": "ko",
"ko_kr": "ko",
}
_OPERATION_ADVICE_CANONICAL_MAP = {
"强烈买入": "strong_buy",
"strong buy": "strong_buy",
"strong_buy": "strong_buy",
"买入": "buy",
"buy": "buy",
"加仓": "buy",
"accumulate": "buy",
"add position": "buy",
"持有": "hold",
"洗盘观察": "hold",
"观察": "hold",
"hold": "hold",
"观望": "watch",
"watch": "watch",
"wait": "watch",
"wait and see": "watch",
"减仓": "reduce",
"reduce": "reduce",
"trim": "reduce",
"卖出": "sell",
"sell": "sell",
"强烈卖出": "strong_sell",
"strong sell": "strong_sell",
"strong_sell": "strong_sell",
"적극 매수": "strong_buy",
"매수": "buy",
"보유": "hold",
"보유 관찰": "hold",
"관망": "watch",
"비중축소": "reduce",
"매도": "sell",
"적극 매도": "strong_sell",
}
_OPERATION_ADVICE_TRANSLATIONS = {
"strong_buy": {"zh": "强烈买入", "en": "Strong Buy", "ko": "적극 매수"},
"buy": {"zh": "买入", "en": "Buy", "ko": "매수"},
"hold": {"zh": "持有", "en": "Hold", "ko": "보유"},
"watch": {"zh": "观望", "en": "Watch", "ko": "관망"},
"reduce": {"zh": "减仓", "en": "Reduce", "ko": "비중축소"},
"sell": {"zh": "卖出", "en": "Sell", "ko": "매도"},
"strong_sell": {"zh": "强烈卖出", "en": "Strong Sell", "ko": "적극 매도"},
}
_TREND_PREDICTION_CANONICAL_MAP = {
"强势空头": "strong_bearish",
"强烈看多": "strong_bullish",
"strong bullish": "strong_bullish",
"very bullish": "strong_bullish",
"强势多头": "strong_bullish",
"多头排列": "bullish",
"空头排列": "bearish",
"弱势多头": "bullish",
"弱势空头": "bearish",
"看多": "bullish",
"盘整": "sideways",
"bullish": "bullish",
"uptrend": "bullish",
"震荡": "sideways",
"neutral": "sideways",
"sideways": "sideways",
"range-bound": "sideways",
"看空": "bearish",
"bearish": "bearish",
"downtrend": "bearish",
"强烈看空": "strong_bearish",
"strong bearish": "strong_bearish",
"very bearish": "strong_bearish",
"강한 상승": "strong_bullish",
"상승": "bullish",
"횡보": "sideways",
"하락": "bearish",
"강한 하락": "strong_bearish",
}
_TREND_PREDICTION_TRANSLATIONS = {
"strong_bullish": {"zh": "强烈看多", "en": "Strong Bullish", "ko": "강한 상승"},
"bullish": {"zh": "看多", "en": "Bullish", "ko": "상승"},
"sideways": {"zh": "震荡", "en": "Sideways", "ko": "횡보"},
"bearish": {"zh": "看空", "en": "Bearish", "ko": "하락"},
"strong_bearish": {"zh": "强烈看空", "en": "Strong Bearish", "ko": "강한 하락"},
}
_CONFIDENCE_LEVEL_CANONICAL_MAP = {
"高": "high",
"high": "high",
"中": "medium",
"medium": "medium",
"med": "medium",
"低": "low",
"low": "low",
"높음": "high",
"보통": "medium",
"낮음": "low",
}
_CONFIDENCE_LEVEL_TRANSLATIONS = {
"high": {"zh": "高", "en": "High", "ko": "높음"},
"medium": {"zh": "中", "en": "Medium", "ko": "보통"},
"low": {"zh": "低", "en": "Low", "ko": "낮음"},
}
_STRATEGY_SIGNAL_CANONICAL_MAP = {
"strong buy": "strong_buy",
"strong_buy": "strong_buy",
"强烈买入": "strong_buy",
"buy": "buy",
"买入": "buy",
"hold": "hold",
"持有": "hold",
"sell": "sell",
"卖出": "sell",
"strong sell": "strong_sell",
"strong_sell": "strong_sell",
"强烈卖出": "strong_sell",
}
_STRATEGY_SIGNAL_TRANSLATIONS = {
"strong_buy": {"zh": "强烈买入", "en": "Strong Buy", "ko": "적극 매수"},
"buy": {"zh": "买入", "en": "Buy", "ko": "매수"},
"hold": {"zh": "持有", "en": "Hold", "ko": "보유"},
"sell": {"zh": "卖出", "en": "Sell", "ko": "매도"},
"strong_sell": {"zh": "强烈卖出", "en": "Strong Sell", "ko": "적극 매도"},
}
_CONSENSUS_LEVEL_CANONICAL_MAP = {
"high": "high",
"高": "high",
"medium": "medium",
"中": "medium",
"low": "low",
"低": "low",
"insufficient": "insufficient",
"证据不足": "insufficient",
"Insufficient": "insufficient",
"증거 부족": "insufficient",
}
_CONSENSUS_LEVEL_TRANSLATIONS = {
"high": {"zh": "高", "en": "High", "ko": "높음"},
"medium": {"zh": "中", "en": "Medium", "ko": "보통"},
"low": {"zh": "低", "en": "Low", "ko": "낮음"},
"insufficient": {"zh": "证据不足", "en": "Insufficient", "ko": "증거 부족"},
}
_CONFLICT_SEVERITY_CANONICAL_MAP = {
"none": "none",
"无": "none",
"low": "low",
"低": "low",
"medium": "medium",
"中": "medium",
"high": "high",
"高": "high",
}
_CONFLICT_SEVERITY_TRANSLATIONS = {
"none": {"zh": "无", "en": "None", "ko": "없음"},
"low": {"zh": "低", "en": "Low", "ko": "낮음"},
"medium": {"zh": "中", "en": "Medium", "ko": "보통"},
"high": {"zh": "高", "en": "High", "ko": "높음"},
}
_STRATEGY_SKILL_CANONICAL_MAP = {
"bull trend": "bull_trend",
"bull_trend": "bull_trend",
"默认多头趋势": "bull_trend",
"hot theme": "hot_theme",
"hot_theme": "hot_theme",
"热点题材": "hot_theme",
"volume breakout": "volume_breakout",
"volume_breakout": "volume_breakout",
"放量突破": "volume_breakout",
"ma golden cross": "ma_golden_cross",
"ma_golden_cross": "ma_golden_cross",
"均线金叉": "ma_golden_cross",
"growth quality": "growth_quality",
"growth_quality": "growth_quality",
"成长质量": "growth_quality",
"bottom volume": "bottom_volume",
"bottom_volume": "bottom_volume",
"底部放量": "bottom_volume",
"box oscillation": "box_oscillation",
"box_oscillation": "box_oscillation",
"箱体震荡": "box_oscillation",
"chan theory": "chan_theory",
"chan_theory": "chan_theory",
"缠论结构": "chan_theory",
"dragon head": "dragon_head",
"dragon_head": "dragon_head",
"龙头战法": "dragon_head",
"emotion cycle": "emotion_cycle",
"emotion_cycle": "emotion_cycle",
"情绪周期": "emotion_cycle",
"event driven": "event_driven",
"event_driven": "event_driven",
"事件驱动": "event_driven",
"expectation repricing": "expectation_repricing",
"expectation_repricing": "expectation_repricing",
"预期重估": "expectation_repricing",
"one yang three yin": "one_yang_three_yin",
"one_yang_three_yin": "one_yang_three_yin",
"一阳三阴": "one_yang_three_yin",
"shrink pullback": "shrink_pullback",
"shrink_pullback": "shrink_pullback",
"缩量回踩": "shrink_pullback",
"wave theory": "wave_theory",
"wave_theory": "wave_theory",
"波浪理论": "wave_theory",
}
_STRATEGY_SKILL_TRANSLATIONS = {
"bull_trend": {"zh": "默认多头趋势", "en": "Bull Trend", "ko": "기본 상승 추세"},
"hot_theme": {"zh": "热点题材", "en": "Hot Theme", "ko": "핫 테마"},
"volume_breakout": {"zh": "放量突破", "en": "Volume Breakout", "ko": "거래량 돌파"},
"ma_golden_cross": {"zh": "均线金叉", "en": "MA Golden Cross", "ko": "이평선 골든크로스"},
"growth_quality": {"zh": "成长质量", "en": "Growth Quality", "ko": "성장 품질"},
"bottom_volume": {"zh": "底部放量", "en": "Bottom Volume", "ko": "저점 거래량"},
"box_oscillation": {"zh": "箱体震荡", "en": "Box Oscillation", "ko": "박스권 등락"},
"chan_theory": {"zh": "缠论结构", "en": "Chan Theory", "ko": "찬 이론 구조"},
"dragon_head": {"zh": "龙头战法", "en": "Dragon Head", "ko": "대장주 전략"},
"emotion_cycle": {"zh": "情绪周期", "en": "Emotion Cycle", "ko": "심리 사이클"},
"event_driven": {"zh": "事件驱动", "en": "Event Driven", "ko": "이벤트 드리븐"},
"expectation_repricing": {"zh": "预期重估", "en": "Expectation Repricing", "ko": "기대 재평가"},
"one_yang_three_yin": {"zh": "一阳三阴", "en": "One Yang Three Yin", "ko": "일양삼음"},
"shrink_pullback": {"zh": "缩量回踩", "en": "Shrink Pullback", "ko": "거래량 축소 눌림"},
"wave_theory": {"zh": "波浪理论", "en": "Wave Theory", "ko": "파동 이론"},
}
_CHIP_HEALTH_CANONICAL_MAP = {
"健康": "healthy",
"healthy": "healthy",
"一般": "average",
"average": "average",
"警惕": "caution",
"caution": "caution",
"양호": "healthy",
"보통": "average",
"주의": "caution",
}
_CHIP_HEALTH_TRANSLATIONS = {
"healthy": {"zh": "健康", "en": "Healthy", "ko": "양호"},
"average": {"zh": "一般", "en": "Average", "ko": "보통"},
"caution": {"zh": "警惕", "en": "Caution", "ko": "주의"},
}
_BIAS_STATUS_CANONICAL_MAP = {
"安全": "safe",
"safe": "safe",
"警戒": "caution",
"警惕": "caution",
"caution": "caution",
"危险": "danger",
"risk": "danger",
"danger": "danger",
"안전": "safe",
"경계": "caution",
"위험": "danger",
}
_BIAS_STATUS_TRANSLATIONS = {
"safe": {"zh": "安全", "en": "Safe", "ko": "안전"},
"caution": {"zh": "警戒", "en": "Caution", "ko": "경계"},
"danger": {"zh": "危险", "en": "Danger", "ko": "위험"},
}
_PLACEHOLDER_BY_LANGUAGE = {
"zh": "待补充",
"en": "TBD",
"ko": "미정",
}
_UNKNOWN_BY_LANGUAGE = {
"zh": "未知",
"en": "Unknown",
"ko": "알 수 없음",
}
_NO_DATA_BY_LANGUAGE = {
"zh": "数据缺失",
"en": "Data unavailable",
"ko": "데이터 없음",
}
_CHIP_UNAVAILABLE_BY_LANGUAGE = {
"zh": "筹码分布未启用或数据源暂不可用，未纳入筹码判断。",
"en": "Chip distribution is disabled or temporarily unavailable; chip signals were not used.",
"ko": "매물대가 비활성화되었거나 데이터 소스를 일시적으로 사용할 수 없어 매물대 신호를 반영하지 않았습니다.",
}
_CHIP_PLACEHOLDER_EXACT = {
"",
"n/a",
"na",
"none",
"null",
"unknown",
"tbd",
"数据缺失",
"未知",
"暂无",
"待补充",
}
_CHIP_PLACEHOLDER_HINTS = (
"数据缺失",
"无法判断",
"data unavailable",
"unavailable",
"not available",
"missing",
"not supported",
)
_CHIP_METRIC_KEYS = ("profit_ratio", "avg_cost", "concentration")
_CHIP_UNAVAILABLE_REASON_KEYS = (
"chip_unavailable_reason",
"unavailable_reason",
"chip_unavailable",
)
_GENERIC_STOCK_NAME_BY_LANGUAGE = {
"zh": "待确认股票",
"en": "Unnamed Stock",
"ko": "미확인 종목",
}
_REPORT_LABELS: Dict[str, Dict[str, str]] = {
"zh": {
"dashboard_title": "决策仪表盘",
"brief_title": "决策简报",
"analyzed_prefix": "共分析",
"stock_unit": "只股票",
"stock_unit_compact": "只",
"buy_label": "买入",
"watch_label": "观望",
"sell_label": "卖出",
"summary_heading": "分析结果摘要",
"info_heading": "重要信息速览",
"sentiment_summary_label": "舆情情绪",
"earnings_outlook_label": "业绩预期",
"risk_alerts_label": "风险警报",
"positive_catalysts_label": "利好催化",
"latest_news_label": "最新动态",
"core_conclusion_heading": "核心结论",
"one_sentence_label": "一句话决策",
"time_sensitivity_label": "时效性",
"default_time_sensitivity": "本周内",
"position_status_label": "持仓情况",
"action_advice_label": "操作建议",
"no_position_label": "空仓者",
"has_position_label": "持仓者",
"continue_holding": "继续持有",
"market_snapshot_heading": "当日行情",
"close_label": "收盘",
"prev_close_label": "昨收",
"open_label": "开盘",
"high_label": "最高",
"low_label": "最低",
"change_pct_label": "涨跌幅",
"change_amount_label": "涨跌额",
"amplitude_label": "振幅",
"volume_label": "成交量",
"amount_label": "成交额",
"current_price_label": "当前价",
"volume_ratio_label": "量比",
"turnover_rate_label": "换手率",
"source_label": "行情来源",
"data_sources_label": "数据来源",
"data_perspective_heading": "数据透视",
"ma_alignment_label": "均线排列",
"bullish_alignment_label": "多头排列",
"yes_label": "是",
"no_label": "否",
"none_label": "无",
"trend_strength_label": "趋势强度",
"price_metrics_label": "价格指标",
"ma5_label": "MA5",
"ma10_label": "MA10",
"ma20_label": "MA20",
"bias_ma5_label": "乖离率(MA5)",
"support_level_label": "支撑位",
"resistance_level_label": "压力位",
"chip_label": "筹码",
"phase_decision_heading": "盘中决策护栏",
"action_window_label": "行动窗口",
"immediate_action_label": "当前动作",
"watch_conditions_label": "观察条件",
"next_check_time_label": "下次检查",
"confidence_reason_label": "置信度理由",
"data_limitations_label": "数据限制",
"battle_plan_heading": "作战计划",
"ideal_buy_label": "理想买入点",
"secondary_buy_label": "次优买入点",
"stop_loss_label": "止损位",
"take_profit_label": "目标位",
"suggested_position_label": "仓位建议",
"entry_plan_label": "建仓策略",
"risk_control_label": "风控策略",
"checklist_heading": "检查清单",
"failed_checks_heading": "检查未通过项",
"history_compare_heading": "历史信号对比",
"time_label": "时间",
"score_label": "评分",
"advice_label": "建议",
"trend_label": "趋势",
"generated_at_label": "报告生成时间",
"report_time_label": "生成时间",
"no_results": "无分析结果",
"report_title": "股票分析报告",
"avg_score_label": "均分",
"action_points_heading": "操作点位",
"position_advice_heading": "持仓建议",
"analysis_model_label": "分析模型",
"not_investment_advice": "AI生成，仅供参考，不构成投资建议",
"details_report_hint": "详细报告见",
"financial_summary_heading": "财务摘要",
"report_date_label": "报告期",
"revenue_label": "营业收入",
"net_profit_label": "归母净利润",
"operating_cash_flow_label": "经营现金流",
"roe_label": "ROE",
"revenue_yoy_label": "营收同比",
"net_profit_yoy_label": "净利同比",
"gross_margin_label": "毛利率",
"shareholder_return_heading": "股东回报",
"ttm_cash_dividend_label": "近12月每股现金分红(税前)",
"ttm_event_count_label": "近12月分红次数",
"ttm_dividend_yield_label": "TTM 股息率",
"latest_ex_dividend_label": "最近除息日",
"institutional_flow_heading": "三大法人动向",
"institutional_flow_note": "正数=净买超，负数=净卖超；单位为股。",
"inst_foreign_label": "外资",
"inst_trust_label": "投信",
"inst_dealer_label": "自营商",
"inst_total_label": "三大法人合计",
"related_boards_heading": "关联板块",
"industry_boards_heading": "行业板块",
"concept_boards_heading": "概念板块",
"board_name_label": "板块",
"board_type_label": "类型",
"board_status_label": "板块表现",
"board_change_pct_label": "板块涨跌幅",
"leading_board_label": "领涨",
"lagging_board_label": "领跌",
"signal_attribution_heading": "信号归因分析",
"attribution_weights_label": "归因权重",
"technical_indicators_label": "技术指标",
"news_sentiment_label": "新闻舆情",
"fundamentals_label": "基本面",
"market_conditions_label": "市场环境",
"strongest_bullish_signal_label": "最强看多信号",
"strongest_bearish_signal_label": "最强看空信号",
"strategy_synthesis_heading": "多策略综合",
"strategy_final_signal_label": "综合信号",
"strategy_consensus_level_label": "共识度",
"strategy_conflict_label": "冲突",
"strategy_confidence_label": "置信度",
"strategy_summary_label": "综合说明",
"strategy_supporting_skills_label": "支持策略",
"strategy_opposing_skills_label": "反方策略",
"strategy_invalid_opinions_label": "另有 {count} 个策略解析失败",
},
"en": {
"dashboard_title": "Decision Dashboard",
"brief_title": "Decision Brief",
"analyzed_prefix": "Analyzed",
"stock_unit": "stocks",
"stock_unit_compact": "stocks",
"buy_label": "Buy",
"watch_label": "Watch",
"sell_label": "Sell",
"summary_heading": "Summary",
"info_heading": "Key Updates",
"sentiment_summary_label": "Sentiment",
"earnings_outlook_label": "Earnings Outlook",
"risk_alerts_label": "Risk Alerts",
"positive_catalysts_label": "Positive Catalysts",
"latest_news_label": "Latest News",
"core_conclusion_heading": "Core Conclusion",
"one_sentence_label": "One-line Decision",
"time_sensitivity_label": "Time Sensitivity",
"default_time_sensitivity": "This week",
"position_status_label": "Position",
"action_advice_label": "Action",
"no_position_label": "No Position",
"has_position_label": "Holding",
"continue_holding": "Continue holding",
"market_snapshot_heading": "Market Snapshot",
"close_label": "Close",
"prev_close_label": "Prev Close",
"open_label": "Open",
"high_label": "High",
"low_label": "Low",
"change_pct_label": "Change %",
"change_amount_label": "Change",
"amplitude_label": "Amplitude",
"volume_label": "Volume",
"amount_label": "Turnover",
"current_price_label": "Price",
"volume_ratio_label": "Volume Ratio",
"turnover_rate_label": "Turnover Rate",
"source_label": "Source",
"data_sources_label": "Data Sources",
"data_perspective_heading": "Data View",
"ma_alignment_label": "MA Alignment",
"bullish_alignment_label": "Bullish Alignment",
"yes_label": "Yes",
"no_label": "No",
"none_label": "None",
"trend_strength_label": "Trend Strength",
"price_metrics_label": "Price Metrics",
"ma5_label": "MA5",
"ma10_label": "MA10",
"ma20_label": "MA20",
"bias_ma5_label": "Bias (MA5)",
"support_level_label": "Support",
"resistance_level_label": "Resistance",
"chip_label": "Chip Structure",
"phase_decision_heading": "Phase Decision Guardrail",
"action_window_label": "Action Window",
"immediate_action_label": "Current Action",
"watch_conditions_label": "Watch Conditions",
"next_check_time_label": "Next Check",
"confidence_reason_label": "Confidence Reason",
"data_limitations_label": "Data Limitations",
"battle_plan_heading": "Battle Plan",
"ideal_buy_label": "Ideal Entry",
"secondary_buy_label": "Secondary Entry",
"stop_loss_label": "Stop Loss",
"take_profit_label": "Target",
"suggested_position_label": "Position Size",
"entry_plan_label": "Entry Plan",
"risk_control_label": "Risk Control",
"checklist_heading": "Checklist",
"failed_checks_heading": "Failed Checks",
"history_compare_heading": "Historical Signal Comparison",
"time_label": "Time",
"score_label": "Score",
"advice_label": "Advice",
"trend_label": "Trend",
"generated_at_label": "Generated At",
"report_time_label": "Generated",
"no_results": "No analysis results",
"report_title": "Stock Analysis Report",
"avg_score_label": "Avg Score",
"action_points_heading": "Action Levels",
"position_advice_heading": "Position Advice",
"analysis_model_label": "Model",
"not_investment_advice": "AI-generated content for reference only. Not investment advice.",
"details_report_hint": "See detailed report:",
"financial_summary_heading": "Financial Summary",
"report_date_label": "Report Date",
"revenue_label": "Revenue",
"net_profit_label": "Net Profit (Parent)",
"operating_cash_flow_label": "Operating Cash Flow",
"roe_label": "ROE",
"revenue_yoy_label": "Revenue YoY",
"net_profit_yoy_label": "Net Profit YoY",
"gross_margin_label": "Gross Margin",
"shareholder_return_heading": "Shareholder Return",
"ttm_cash_dividend_label": "TTM Cash Dividend / Share (Pre-tax)",
"ttm_event_count_label": "TTM Dividend Events",
"ttm_dividend_yield_label": "TTM Dividend Yield",
"latest_ex_dividend_label": "Latest Ex-dividend Date",
"institutional_flow_heading": "Institutional Flows (3 Majors)",
"institutional_flow_note": "Positive = net buy, negative = net sell; unit: shares.",
"inst_foreign_label": "Foreign",
"inst_trust_label": "Inv. Trust",
"inst_dealer_label": "Dealer",
"inst_total_label": "Total (3 Majors)",
"related_boards_heading": "Related Boards",
"industry_boards_heading": "Industry Sectors",
"concept_boards_heading": "Concept Themes",
"board_name_label": "Board",
"board_type_label": "Type",
"board_status_label": "Status",
"board_change_pct_label": "Change %",
"leading_board_label": "Leading",
"lagging_board_label": "Lagging",
"signal_attribution_heading": "Signal Attribution",
"attribution_weights_label": "Attribution Weights",
"technical_indicators_label": "Technical Indicators",
"news_sentiment_label": "News Sentiment",
"fundamentals_label": "Fundamentals",
"market_conditions_label": "Market Conditions",
"strongest_bullish_signal_label": "Strongest Bullish Signal",
"strongest_bearish_signal_label": "Strongest Bearish Signal",
"strategy_synthesis_heading": "Strategy Synthesis",
"strategy_final_signal_label": "Final Signal",
"strategy_consensus_level_label": "Consensus",
"strategy_conflict_label": "Conflict",
"strategy_confidence_label": "Confidence",
"strategy_summary_label": "Summary",
"strategy_supporting_skills_label": "Supporting Strategies",
"strategy_opposing_skills_label": "Opposing Strategies",
"strategy_invalid_opinions_label": "{count} additional strategies failed to produce valid signals",
},
"ko": {
"dashboard_title": "결정 대시보드",
"brief_title": "결정 브리핑",
"analyzed_prefix": "분석 종목",
"stock_unit": "개 종목",
"stock_unit_compact": "개",
"buy_label": "매수",
"watch_label": "관망",
"sell_label": "매도",
"summary_heading": "분석 결과 요약",
"info_heading": "핵심 업데이트",
"sentiment_summary_label": "투자심리",
"earnings_outlook_label": "실적 전망",
"risk_alerts_label": "리스크 경보",
"positive_catalysts_label": "긍정 촉매",
"latest_news_label": "최신 뉴스",
"core_conclusion_heading": "핵심 결론",
"one_sentence_label": "한 줄 결론",
"time_sensitivity_label": "시의성",
"default_time_sensitivity": "이번 주",
"position_status_label": "보유 상태",
"action_advice_label": "대응 전략",
"no_position_label": "미보유",
"has_position_label": "보유 중",
"continue_holding": "보유 유지",
"market_snapshot_heading": "시세 스냅샷",
"close_label": "종가",
"prev_close_label": "전일 종가",
"open_label": "시가",
"high_label": "고가",
"low_label": "저가",
"change_pct_label": "등락률",
"change_amount_label": "등락액",
"amplitude_label": "변동폭",
"volume_label": "거래량",
"amount_label": "거래대금",
"current_price_label": "현재가",
"volume_ratio_label": "거래량비",
"turnover_rate_label": "회전율",
"source_label": "시세 출처",
"data_sources_label": "데이터 출처",
"data_perspective_heading": "데이터 분석",
"ma_alignment_label": "이동평균 배열",
"bullish_alignment_label": "정배열",
"yes_label": "예",
"no_label": "아니오",
"none_label": "없음",
"trend_strength_label": "추세 강도",
"price_metrics_label": "가격 지표",
"ma5_label": "MA5",
"ma10_label": "MA10",
"ma20_label": "MA20",
"bias_ma5_label": "이격도(MA5)",
"support_level_label": "지지선",
"resistance_level_label": "저항선",
"chip_label": "매물대",
"phase_decision_heading": "장중 결정 가드레일",
"action_window_label": "대응 시점",
"immediate_action_label": "현재 행동",
"watch_conditions_label": "관찰 조건",
"next_check_time_label": "다음 점검",
"confidence_reason_label": "신뢰도 근거",
"data_limitations_label": "데이터 한계",
"battle_plan_heading": "실행 계획",
"ideal_buy_label": "이상적 매수가",
"secondary_buy_label": "추가 매수가",
"stop_loss_label": "손절가",
"take_profit_label": "목표가",
"suggested_position_label": "비중 제안",
"entry_plan_label": "진입 전략",
"risk_control_label": "리스크 관리",
"checklist_heading": "체크리스트",
"failed_checks_heading": "미충족 항목",
"history_compare_heading": "과거 신호 비교",
"time_label": "시간",
"score_label": "점수",
"advice_label": "제안",
"trend_label": "추세",
"generated_at_label": "생성 시각",
"report_time_label": "생성",
"no_results": "분석 결과 없음",
"report_title": "종목 분석 리포트",
"avg_score_label": "평균 점수",
"action_points_heading": "대응 가격대",
"position_advice_heading": "보유 전략",
"analysis_model_label": "분석 모델",
"not_investment_advice": "AI 생성 참고용이며 투자 권유가 아닙니다.",
"details_report_hint": "상세 리포트 보기:",
"financial_summary_heading": "재무 요약",
"report_date_label": "보고 기준",
"revenue_label": "매출액",
"net_profit_label": "지배주주 순이익",
"operating_cash_flow_label": "영업 현금흐름",
"roe_label": "ROE",
"revenue_yoy_label": "매출 전년比",
"net_profit_yoy_label": "순이익 전년比",
"gross_margin_label": "매출총이익률",
"shareholder_return_heading": "주주 환원",
"ttm_cash_dividend_label": "최근 12개월 주당 현금배당(세전)",
"ttm_event_count_label": "최근 12개월 배당 횟수",
"ttm_dividend_yield_label": "TTM 배당수익률",
"latest_ex_dividend_label": "최근 배당락일",
"institutional_flow_heading": "3대 기관 동향",
"institutional_flow_note": "양수=순매수, 음수=순매도; 단위: 주.",
"inst_foreign_label": "외국인",
"inst_trust_label": "투신",
"inst_dealer_label": "딜러",
"inst_total_label": "3대 기관 합계",
"related_boards_heading": "관련 섹터",
"industry_boards_heading": "업종 섹터",
"concept_boards_heading": "테마 섹터",
"board_name_label": "섹터",
"board_type_label": "유형",
"board_status_label": "섹터 상태",
"board_change_pct_label": "섹터 등락률",
"leading_board_label": "강세",
"lagging_board_label": "약세",
"signal_attribution_heading": "신호 귀인 분석",
"attribution_weights_label": "귀인 가중치",
"technical_indicators_label": "기술 지표",
"news_sentiment_label": "뉴스 심리",
"fundamentals_label": "펀더멘털",
"market_conditions_label": "시장 환경",
"strongest_bullish_signal_label": "최강 상승 신호",
"strongest_bearish_signal_label": "최강 하락 신호",
"strategy_synthesis_heading": "전략 종합",
"strategy_final_signal_label": "종합 신호",
"strategy_consensus_level_label": "공감도",
"strategy_conflict_label": "충돌",
"strategy_confidence_label": "신뢰도",
"strategy_summary_label": "종합 설명",
"strategy_supporting_skills_label": "지지 전략",
"strategy_opposing_skills_label": "반대 전략",
"strategy_invalid_opinions_label": "추가로 {count}개 전략이 유효한 신호를 생성하지 못했습니다",
},
}
_DECISION_INTENT_NEGATIONS = (
"不",
"并非",
"并未",
"未",
"没有",
"无",
"不是",
"no ",
"not ",
" never",
)
_DECISION_INTENT_NEGATION_SCOPE_BREAK_CHARS = "，,。；;:!?！？"
_DECISION_INTENT_NEGATION_CONNECTORS = (
"建议",
"应",
"应当",
"宜",
"先",
"再",
"暂",
"暂时",
"可",
"可以",
"需要",
"需",
"继续",
)
def _strip_decision_negation_connectors(text: str) -> str:
"""Remove common advisory connectors between a negation token and decision word."""
suffix = text.strip()
changed = True
while changed:
changed = False
for connector in _DECISION_INTENT_NEGATION_CONNECTORS:
if suffix.startswith(connector):
suffix = suffix[len(connector):].strip()
changed = True
break
return suffix
def normalize_report_language(value: Optional[str], default: str = "zh") -> str:
"""Normalize report language to a supported short code."""
candidate = (value or default).strip().lower().replace(" ", "_")
candidate = _REPORT_LANGUAGE_ALIASES.get(candidate, candidate)
if candidate in SUPPORTED_REPORT_LANGUAGES:
return candidate
return default
def is_supported_report_language_value(value: Optional[str]) -> bool:
"""Return whether the raw value is a supported language code or alias."""
candidate = (value or "").strip().lower().replace(" ", "_")
if not candidate:
return False
return candidate in SUPPORTED_REPORT_LANGUAGES or candidate in _REPORT_LANGUAGE_ALIASES
def get_report_labels(language: Optional[str]) -> Dict[str, str]:
"""Return UI copy for the selected report language."""
normalized = normalize_report_language(language)
return _REPORT_LABELS[normalized]
def get_placeholder_text(language: Optional[str]) -> str:
"""Return placeholder text for missing localized content."""
return _PLACEHOLDER_BY_LANGUAGE[normalize_report_language(language)]
def get_unknown_text(language: Optional[str]) -> str:
"""Return localized unknown text."""
return _UNKNOWN_BY_LANGUAGE[normalize_report_language(language)]
def get_no_data_text(language: Optional[str]) -> str:
"""Return localized data unavailable text."""
return _NO_DATA_BY_LANGUAGE[normalize_report_language(language)]
def get_chip_unavailable_text(language: Optional[str]) -> str:
"""Return the localized one-line chip distribution fallback text."""
return _CHIP_UNAVAILABLE_BY_LANGUAGE[normalize_report_language(language)]
def _normalize_lookup_key(value: Any) -> str:
return str(value or "").strip().lower().replace("_", " ").replace("-", " ")
def _iter_lookup_candidates(value: Any) -> list[str]:
raw_text = str(value or "").strip()
if not raw_text:
return []
candidates = [raw_text]
for part in re.split(r"[/|,，、]+", raw_text):
normalized = part.strip()
if normalized and normalized not in candidates:
candidates.append(normalized)
return candidates
def _canonicalize_lookup_value(value: Any, canonical_map: Dict[str, str]) -> Optional[str]:
for candidate in _iter_lookup_candidates(value):
canonical = canonical_map.get(_normalize_lookup_key(candidate))
if canonical:
return canonical
return None
def _first_non_negated_position(text: str, token: str) -> Optional[int]:
if not text or not token:
return None
normalized_text = text.lower().strip()
if any(ch in normalized_text for ch in "abcdefghijklmnopqrstuvwxyz"):
matches = list(re.finditer(rf"(?<![a-z0-9_]){re.escape(token)}(?![a-z0-9_])", normalized_text))
else:
matches = list(re.finditer(re.escape(token), normalized_text))
for match in matches:
prefix = normalized_text[: match.start()]
if any(prefix.rstrip().endswith(neg) for neg in _DECISION_INTENT_NEGATIONS):
continue
lookback = prefix[-12:]
negated = False
for neg in _DECISION_INTENT_NEGATIONS:
if not neg:
continue
neg_idx = lookback.rfind(neg)
if neg_idx < 0:
continue
suffix = lookback[neg_idx + len(neg):]
if not suffix:
negated = True
break
if any(ch in suffix for ch in _DECISION_INTENT_NEGATION_SCOPE_BREAK_CHARS):
continue
normalized_suffix = _strip_decision_negation_connectors(suffix)
if not normalized_suffix:
negated = True
break
if any(ch in normalized_suffix for ch in _DECISION_INTENT_NEGATION_SCOPE_BREAK_CHARS):
continue
if len(normalized_suffix) > 6 and token not in normalized_suffix:
continue
if normalized_suffix.startswith(token):
negated = True
break
if negated:
continue
else:
return match.start()
return None
def _is_placeholder_stock_name(value: Any, code: Any = None) -> bool:
text = str(value or "").strip()
if not text:
return True
lowered = text.lower()
if lowered in {"n/a", "na", "none", "null", "unknown"}:
return True
if text in {"-", "—", "未知", "待补充"}:
return True
code_text = str(code or "").strip()
if code_text and lowered == code_text.lower():
return True
return text.startswith("股票")
def _translate_from_map(
value: Any,
language: Optional[str],
*,
canonical_map: Dict[str, str],
translations: Dict[str, Dict[str, str]],
) -> str:
normalized_language = normalize_report_language(language)
raw_text = str(value or "").strip()
if not raw_text:
return raw_text
canonical = _canonicalize_lookup_value(raw_text, canonical_map)
if canonical:
return translations[canonical][normalized_language]
return raw_text
def localize_operation_advice(value: Any, language: Optional[str]) -> str:
"""Translate operation advice between Chinese and English when recognized."""
return _translate_from_map(
value,
language,
canonical_map=_OPERATION_ADVICE_CANONICAL_MAP,
translations=_OPERATION_ADVICE_TRANSLATIONS,
)
def localize_trend_prediction(value: Any, language: Optional[str]) -> str:
"""Translate trend prediction between Chinese and English when recognized."""
normalized_language = normalize_report_language(language)
raw_text = str(value or "").strip()
if not raw_text:
return raw_text
if normalized_language == "zh":
if re.search(r"[\u4e00-\u9fff]", raw_text):
return raw_text
return _translate_from_map(
value,
normalized_language,
canonical_map=_TREND_PREDICTION_CANONICAL_MAP,
translations=_TREND_PREDICTION_TRANSLATIONS,
)
def localize_confidence_level(value: Any, language: Optional[str]) -> str:
"""Translate confidence level between Chinese and English when recognized."""
return _translate_from_map(
value,
language,
canonical_map=_CONFIDENCE_LEVEL_CANONICAL_MAP,
translations=_CONFIDENCE_LEVEL_TRANSLATIONS,
)
def localize_strategy_signal(value: Any, language: Optional[str]) -> str:
"""Translate strategy signal labels when recognized."""
return _translate_from_map(
value,
language,
canonical_map=_STRATEGY_SIGNAL_CANONICAL_MAP,
translations=_STRATEGY_SIGNAL_TRANSLATIONS,
)
def localize_consensus_level(value: Any, language: Optional[str]) -> str:
"""Translate strategy consensus levels when recognized."""
return _translate_from_map(
value,
language,
canonical_map=_CONSENSUS_LEVEL_CANONICAL_MAP,
translations=_CONSENSUS_LEVEL_TRANSLATIONS,
)
def localize_conflict_severity(value: Any, language: Optional[str]) -> str:
"""Translate strategy conflict severity when recognized."""
return _translate_from_map(
value,
language,
canonical_map=_CONFLICT_SEVERITY_CANONICAL_MAP,
translations=_CONFLICT_SEVERITY_TRANSLATIONS,
)
def localize_strategy_skill(value: Any, language: Optional[str]) -> str:
"""Translate strategy skill names when recognized."""
return _translate_from_map(
value,
language,
canonical_map=_STRATEGY_SKILL_CANONICAL_MAP,
translations=_STRATEGY_SKILL_TRANSLATIONS,
)
def localize_chip_health(value: Any, language: Optional[str]) -> str:
"""Translate chip health labels between Chinese and English when recognized."""
return _translate_from_map(
value,
language,
canonical_map=_CHIP_HEALTH_CANONICAL_MAP,
translations=_CHIP_HEALTH_TRANSLATIONS,
)
def is_chip_placeholder_value(value: Any) -> bool:
"""Return True for chip fields filled with empty or no-data placeholders."""
if value is None:
return True
if isinstance(value, (int, float)) and value == 0:
return True
text = str(value).strip()
lowered = text.lower()
if lowered in _CHIP_PLACEHOLDER_EXACT:
return True
return any(hint in lowered for hint in _CHIP_PLACEHOLDER_HINTS)
def is_chip_structure_unavailable(chip_data: Any) -> bool:
"""Detect chip_structure blocks that contain only unavailable placeholders."""
if not isinstance(chip_data, dict) or not chip_data:
return False
for key in _CHIP_UNAVAILABLE_REASON_KEYS:
raw = chip_data.get(key)
if isinstance(raw, bool):
if raw:
return True
continue
if str(raw or "").strip():
return True
if any(key in chip_data for key in _CHIP_METRIC_KEYS):
return all(is_chip_placeholder_value(chip_data.get(key)) for key in _CHIP_METRIC_KEYS)
return all(is_chip_placeholder_value(value) for value in chip_data.values())
def localize_strategy_conflict_description(conflict_type: Any, language: Optional[str]) -> str:
"""Translate strategy conflict type into a display sentence at render boundaries."""
lang = normalize_report_language(language)
key = str(conflict_type or "").strip()
translations = {
"directional_opposition": {
"zh": "策略方向出现对立：部分策略看多，部分策略看空，综合结论需要降低确定性。",
"en": "Strategy directions diverge: some strategies are bullish while others are bearish, so conviction should be reduced.",
"ko": "전략 방향이 엇갈립니다. 일부 전략은 상승을, 일부 전략은 하락을 보며 확신도를 낮춰야 합니다.",
},
"wide_score_dispersion": {
"zh": "策略信号分数分布较宽，说明多策略对行情结构存在明显分歧。",
"en": "Strategy signal scores are widely dispersed, indicating meaningful disagreement on market structure.",
"ko": "전략 신호 점수 분포가 넓어 시장 구조에 대한 전략 간 이견이 큽니다.",
},
"high_confidence_dissent": {
"zh": "存在高置信少数派策略与综合信号明显不一致，应保留反方观点。",
"en": "A high-confidence minority strategy materially disagrees with the final signal and should be kept as a dissenting view.",
"ko": "높은 확신도의 소수 전략이 종합 신호와 크게 달라 반대 관점으로 보존해야 합니다.",
},
"adjustment_contradiction": {
"zh": "策略加减分方向相互矛盾，说明不同策略对同一标的的边际评分分歧较大。",
"en": "Strategy score adjustments contradict each other, showing large disagreement in marginal scoring.",
"ko": "전략별 점수 조정 방향이 서로 충돌해 동일 종목의 한계 평가 차이가 큽니다.",
},
}
localized = translations.get(key, {})
return localized.get(lang) or localized.get("zh") or key
def normalize_strategy_synthesis_payload(value: Any) -> Dict[str, Any]:
"""Return a renderer-safe copy of a strategy synthesis payload.
Historical records and external callers may contain pre-contract values.
Renderers must treat a malformed top-level payload as absent and must not
iterate malformed collection fields as strategy/conflict entries.
"""
if not isinstance(value, dict) or not value:
return {}
payload = dict(value)
for key in ("supporting_skills", "opposing_skills", "conflicts"):
items = payload.get(key)
payload[key] = (
[item for item in items if isinstance(item, dict)]
if isinstance(items, list)
else []
)
return payload
def strategy_invalid_opinion_count(strategy_synthesis: Any) -> int:
"""Safely extract invalid_opinion_count from a possibly-malformed synthesis payload.
Guards against `summary_params` being absent OR present-but-not-a-dict
(e.g. a legacy string value). `d.get(k, {})` only uses the default when
the key is missing; if the key exists with a bad value it returns that value
and the subsequent `.get()` crashes. This helper eliminates that footgun
for all renderers.
"""
strategy_synthesis = normalize_strategy_synthesis_payload(strategy_synthesis)
if not strategy_synthesis:
return 0
summary_params = strategy_synthesis.get("summary_params")
if not isinstance(summary_params, dict):
return 0
count = summary_params.get("invalid_opinion_count")
if isinstance(count, bool):
return 0
if isinstance(count, int):
return count if count > 0 else 0
if isinstance(count, str):
normalized = count.strip()
if normalized.isascii() and normalized.isdecimal():
parsed = int(normalized)
return parsed if parsed > 0 else 0
return 0
def localize_strategy_synthesis_summary(strategy_synthesis: Any, language: Optional[str]) -> str:
"""Render a language-specific summary from the structured synthesis payload."""
strategy_synthesis = normalize_strategy_synthesis_payload(strategy_synthesis)
if not strategy_synthesis:
return ""
lang = normalize_report_language(language)
summary_params = strategy_synthesis.get("summary_params")
if not isinstance(summary_params, dict):
summary_params = {}
opinion_count = summary_params.get("opinion_count")
if not isinstance(opinion_count, int):
opinion_count = len(strategy_synthesis.get("supporting_skills") or []) + len(strategy_synthesis.get("opposing_skills") or [])
final_signal = localize_strategy_signal(strategy_synthesis.get("final_signal"), lang)
consensus_level = localize_consensus_level(strategy_synthesis.get("consensus_level"), lang)
conflict_severity = localize_conflict_severity(strategy_synthesis.get("conflict_severity"), lang)
conflict_count = strategy_synthesis.get("conflict_count", 0)
if lang == "en":
if conflict_count:
base = f"Strategy synthesis from {opinion_count} strategies: final signal is {final_signal}, consensus level is {consensus_level}, conflict severity is {conflict_severity}."
else:
base = f"Strategy synthesis from {opinion_count} strategies: final signal is {final_signal}, consensus level is {consensus_level}, with no detected conflicts."
return base
if lang == "ko":
if conflict_count:
base = f"{opinion_count}개 전략의 종합 판단: 종합 신호는 {final_signal}, 공감도는 {consensus_level}, 충돌 강도는 {conflict_severity}입니다."
else:
base = f"{opinion_count}개 전략의 종합 판단: 종합 신호는 {final_signal}, 공감도는 {consensus_level}, 감지된 전략 충돌은 없습니다."
return base
if conflict_count:
base = f"来自 {opinion_count} 个策略的综合判断：综合信号为{final_signal}，共识度为{consensus_level}，冲突强度为{conflict_severity}。"
else:
base = f"来自 {opinion_count} 个策略的综合判断：综合信号为{final_signal}，共识度为{consensus_level}，未检测到策略冲突。"
return base
def get_chip_unavailable_reason(value: Any, language: Optional[str]) -> str:
"""Return the explicit or default chip unavailable reason for rendering."""
if not isinstance(value, dict) or not value:
return ""
for key in _CHIP_UNAVAILABLE_REASON_KEYS:
raw = value.get(key)
if isinstance(raw, bool):
if raw:
return get_chip_unavailable_text(language)
continue
text = str(raw or "").strip()
if text:
return text
if is_chip_structure_unavailable(value):
return get_chip_unavailable_text(language)
return ""
def localize_bias_status(value: Any, language: Optional[str]) -> str:
"""Translate price bias status labels between Chinese and English when recognized."""
return _translate_from_map(
value,
language,
canonical_map=_BIAS_STATUS_CANONICAL_MAP,
translations=_BIAS_STATUS_TRANSLATIONS,
)
def get_bias_status_emoji(value: Any) -> str:
"""Return the stable alert emoji for a localized or canonical bias status."""
canonical = _canonicalize_lookup_value(value, _BIAS_STATUS_CANONICAL_MAP)
if canonical == "safe":
return "✅"
if canonical == "caution":
return "⚠️"
return "🚨"
def infer_decision_type_from_advice(value: Any, default: str = "hold") -> str:
"""Infer buy/hold/sell from human-readable operation advice."""
canonical = _canonicalize_lookup_value(value, _OPERATION_ADVICE_CANONICAL_MAP)
if canonical in {"strong_buy", "buy"}:
return "buy"
if canonical in {"reduce", "sell", "strong_sell"}:
return "sell"
if canonical in {"hold", "watch"}:
return "hold"
normalized_text = _normalize_lookup_key(value)
best_position: Optional[int] = None
best_canonical: Optional[str] = None
for option, canonical in _OPERATION_ADVICE_CANONICAL_MAP.items():
option_norm = _normalize_lookup_key(option)
pos = _first_non_negated_position(normalized_text, option_norm)
if pos is None:
continue
if best_position is None or pos < best_position:
best_position = pos
best_canonical = canonical
if best_canonical in {"strong_buy", "buy"}:
return "buy"
if best_canonical in {"reduce", "sell", "strong_sell"}:
return "sell"
if best_canonical in {"hold", "watch"}:
return "hold"
return default
def get_signal_level(advice: Any, score: Any, language: Optional[str]) -> tuple[str, str, str]:
"""Return localized signal text, emoji, and stable color tag."""
normalized_language = normalize_report_language(language)
canonical = _canonicalize_lookup_value(advice, _OPERATION_ADVICE_CANONICAL_MAP)
if canonical == "strong_buy":
return (_OPERATION_ADVICE_TRANSLATIONS["strong_buy"][normalized_language], "💚", "strong_buy")
if canonical == "buy":
return (_OPERATION_ADVICE_TRANSLATIONS["buy"][normalized_language], "🟢", "buy")
if canonical == "hold":
return (_OPERATION_ADVICE_TRANSLATIONS["hold"][normalized_language], "🟡", "hold")
if canonical == "watch":
return (_OPERATION_ADVICE_TRANSLATIONS["watch"][normalized_language], "⚪", "watch")
if canonical == "reduce":
return (_OPERATION_ADVICE_TRANSLATIONS["reduce"][normalized_language], "🟠", "reduce")
if canonical in {"sell", "strong_sell"}:
return (_OPERATION_ADVICE_TRANSLATIONS["sell"][normalized_language], "🔴", "sell")
try:
numeric_score = int(float(score))
except (TypeError, ValueError):
numeric_score = 50
score_signal = signal_key_for_score(numeric_score)
if score_signal == "strong_buy":
return (_OPERATION_ADVICE_TRANSLATIONS["strong_buy"][normalized_language], "💚", "strong_buy")
if score_signal == "buy":
return (_OPERATION_ADVICE_TRANSLATIONS["buy"][normalized_language], "🟢", "buy")
if score_signal == "watch":
return (_OPERATION_ADVICE_TRANSLATIONS["watch"][normalized_language], "⚪", "watch")
if score_signal == "reduce":
return (_OPERATION_ADVICE_TRANSLATIONS["reduce"][normalized_language], "🟠", "reduce")
return (_OPERATION_ADVICE_TRANSLATIONS["sell"][normalized_language], "🔴", "sell")
def get_localized_stock_name(value: Any, code: Any, language: Optional[str]) -> str:
"""Return a localized stock name placeholder when the original name is missing."""
raw_text = str(value or "").strip()
if not _is_placeholder_stock_name(raw_text, code):
return raw_text
return _GENERIC_STOCK_NAME_BY_LANGUAGE[normalize_report_language(language)]
def get_sentiment_label(score: int, language: Optional[str]) -> str:
"""Return localized sentiment label by score band."""
normalized = normalize_report_language(language)
if normalized == "en":
if score >= 80:
return "Very Bullish"
if score >= 60:
return "Bullish"
if score >= 40:
return "Neutral"
if score >= 20:
return "Bearish"
return "Very Bearish"
if normalized == "ko":
if score >= 80:
return "매우 낙관"
if score >= 60:
return "낙관"
if score >= 40:
return "중립"
if score >= 20:
return "비관"
return "매우 비관"
if score >= 80:
return "极度乐观"
if score >= 60:
return "乐观"
if score >= 40:
return "中性"
if score >= 20:
return "悲观"
return "极度悲观"
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