da4736c323
主要更新内容: - 🚀 飞书多维表格集成，支持工单数据同步 - 🤖 AI建议与人工描述语义相似度计算 - 🎨 前端UI全面优化，现代化设计 - 📊 智能知识库入库策略（AI准确率<90%使用人工描述） - 🔧 代码重构，模块化架构优化 - 📚 完整文档整合和更新 - 🐛 修复配置导入和数据库字段问题 技术特性: - 使用sentence-transformers进行语义相似度计算 - 快速模式结合TF-IDF和语义方法 - 响应式设计，支持移动端 - 加载状态和动画效果 - 配置化AI准确率阈值
111 lines
4.2 KiB
Python
111 lines
4.2 KiB
Python
#!/usr/bin/env python
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# -*- coding: utf-8 -*-
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"""
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AI准确率配置
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管理AI建议的准确率阈值和相关配置
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"""
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from dataclasses import dataclass
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from typing import Dict, Any
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@dataclass
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class AIAccuracyConfig:
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"""AI准确率配置类"""
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# 相似度阈值配置
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auto_approve_threshold: float = 0.95 # 自动审批阈值（≥95%）
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use_human_resolution_threshold: float = 0.90 # 使用人工描述阈值（<90%）
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manual_review_threshold: float = 0.80 # 人工审核阈值（≥80%）
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# 置信度配置
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ai_suggestion_confidence: float = 0.95 # AI建议默认置信度
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human_resolution_confidence: float = 0.90 # 人工描述置信度
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# 入库策略配置
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prefer_human_when_low_accuracy: bool = True # 当AI准确率低时优先使用人工描述
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enable_auto_approval: bool = True # 是否启用自动审批
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enable_human_fallback: bool = True # 是否启用人工描述回退
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def get_threshold_explanation(self, similarity: float) -> str:
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"""获取相似度阈值的解释"""
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if similarity >= self.auto_approve_threshold:
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return f"相似度≥{self.auto_approve_threshold*100:.0f}%，自动审批使用AI建议"
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elif similarity >= self.manual_review_threshold:
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return f"相似度≥{self.manual_review_threshold*100:.0f}%，建议人工审核"
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elif similarity >= self.use_human_resolution_threshold:
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return f"相似度<{self.use_human_resolution_threshold*100:.0f}%，建议使用人工描述"
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else:
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return f"相似度<{self.use_human_resolution_threshold*100:.0f}%，优先使用人工描述"
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def should_use_human_resolution(self, similarity: float) -> bool:
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"""判断是否应该使用人工描述"""
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return similarity < self.use_human_resolution_threshold
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def should_auto_approve(self, similarity: float) -> bool:
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"""判断是否应该自动审批"""
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return similarity >= self.auto_approve_threshold and self.enable_auto_approval
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def get_confidence_score(self, similarity: float, use_human: bool = False) -> float:
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"""获取置信度分数"""
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if use_human:
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return self.human_resolution_confidence
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else:
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return max(similarity, self.ai_suggestion_confidence)
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def to_dict(self) -> Dict[str, Any]:
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"""转换为字典格式"""
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return {
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"auto_approve_threshold": self.auto_approve_threshold,
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"use_human_resolution_threshold": self.use_human_resolution_threshold,
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"manual_review_threshold": self.manual_review_threshold,
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"ai_suggestion_confidence": self.ai_suggestion_confidence,
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"human_resolution_confidence": self.human_resolution_confidence,
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"prefer_human_when_low_accuracy": self.prefer_human_when_low_accuracy,
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"enable_auto_approval": self.enable_auto_approval,
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"enable_human_fallback": self.enable_human_fallback
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}
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@classmethod
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def from_dict(cls, data: Dict[str, Any]) -> 'AIAccuracyConfig':
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"""从字典创建配置"""
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return cls(**data)
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# 默认配置实例
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DEFAULT_CONFIG = AIAccuracyConfig()
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# 配置预设
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PRESETS = {
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"conservative": AIAccuracyConfig(
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auto_approve_threshold=0.98,
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use_human_resolution_threshold=0.85,
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manual_review_threshold=0.90,
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human_resolution_confidence=0.95
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),
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"balanced": AIAccuracyConfig(
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auto_approve_threshold=0.95,
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use_human_resolution_threshold=0.90,
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manual_review_threshold=0.80,
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human_resolution_confidence=0.90
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),
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"aggressive": AIAccuracyConfig(
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auto_approve_threshold=0.90,
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use_human_resolution_threshold=0.80,
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manual_review_threshold=0.70,
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human_resolution_confidence=0.85
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)
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}
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def get_accuracy_config(preset: str = "balanced") -> AIAccuracyConfig:
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"""获取准确率配置"""
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return PRESETS.get(preset, DEFAULT_CONFIG)
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def update_accuracy_config(config: AIAccuracyConfig) -> bool:
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"""更新准确率配置（可以保存到文件或数据库）"""
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try:
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# 这里可以实现配置的持久化存储
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# 例如保存到配置文件或数据库
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return True
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except Exception:
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return False
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