673 lines
18 KiB
Plaintext
673 lines
18 KiB
Plaintext
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################################################################################
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# DEPRECATED CONFIGURATION FILE: config/llm_config.py
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################################################################################
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# -*- coding: utf-8 -*-
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"""
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LLM配置文件 - 千问模型配置
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"""
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from src.agent.llm_client import LLMConfig
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# 千问模型配置
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QWEN_CONFIG = LLMConfig(
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provider="qwen",
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api_key="sk-c0dbefa1718d46eaa897199135066f00", # 请替换为您的千问API密钥
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base_url="https://dashscope.aliyuncs.com/compatible-mode/v1",
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model="qwen-plus-latest", # 可选: qwen-turbo, qwen-plus, qwen-max
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temperature=0.7,
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max_tokens=2000
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)
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# 其他模型配置示例
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OPENAI_CONFIG = LLMConfig(
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provider="openai",
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api_key="sk-your-openai-api-key-here",
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model="gpt-3.5-turbo",
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temperature=0.7,
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max_tokens=2000
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)
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ANTHROPIC_CONFIG = LLMConfig(
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provider="anthropic",
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api_key="sk-ant-your-anthropic-api-key-here",
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model="claude-3-sonnet-20240229",
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temperature=0.7,
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max_tokens=2000
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)
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# 默认使用千问模型
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DEFAULT_CONFIG = QWEN_CONFIG
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def get_default_llm_config() -> LLMConfig:
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"""
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获取默认的LLM配置
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优先从统一配置管理器获取，如果失败则使用本地配置
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"""
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try:
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from src.config.unified_config import get_config
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config = get_config()
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llm_dict = config.get_llm_config()
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# 创建LLMConfig对象
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return LLMConfig(
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provider=llm_dict.get("provider", "qwen"),
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api_key=llm_dict.get("api_key", ""),
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base_url=llm_dict.get("base_url", "https://dashscope.aliyuncs.com/compatible-mode/v1"),
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model=llm_dict.get("model", "qwen-plus-latest"),
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temperature=llm_dict.get("temperature", 0.7),
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max_tokens=llm_dict.get("max_tokens", 2000)
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)
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except Exception:
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# 如果统一配置不可用，使用本地配置
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return DEFAULT_CONFIG
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################################################################################
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# DEPRECATED CONFIGURATION FILE: config/integrations_config.json
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################################################################################
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{
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"feishu": {
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"app_id": "cli_a8b50ec0eed1500d",
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"app_secret": "ccxkE7ZCFQZcwkkM1rLy0ccZRXYsT2xK",
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"app_token": "XXnEbiCmEaMblSs6FDJcFCqsnIg",
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"table_id": "tblnl3vJPpgMTSiP",
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"last_updated": "2025-09-19T18:40:55.291113",
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"status": "active"
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},
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"system": {
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"sync_limit": 10,
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"ai_suggestions_enabled": true,
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"auto_sync_interval": 0,
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"last_sync_time": null
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}
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}
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################################################################################
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# DEPRECATED CONFIGURATION FILE: config/ai_accuracy_config.py
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################################################################################
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#!/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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################################################################################
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# DEPRECATED CONFIGURATION FILE: config/field_mapping_config.json
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################################################################################
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{
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"field_mapping": {
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"TR Number": "order_id",
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"TR Description": "description",
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"Type of problem": "category",
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"TR Level": "priority",
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"TR Status": "status",
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"Source": "source",
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"Date creation": "created_at",
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"处理过程": "resolution",
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"TR tracking": "resolution",
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"Created by": "created_by",
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"Module（模块）": "module",
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"Wilfulness（责任人）": "wilfulness",
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"Date of close TR": "date_of_close",
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"Vehicle Type01": "vehicle_type",
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"VIN|sim": "vin_sim",
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"App remote control version": "app_remote_control_version",
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"HMI SW": "hmi_sw",
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"父记录": "parent_record",
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"Has it been updated on the same day": "has_updated_same_day",
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"Operating time": "operating_time",
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"AI建议": "ai_suggestion",
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"Issue Start Time": "updated_at",
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"Wilfulness（责任人<E4BBBB>?": "wilfulness",
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"父<>?<3F>录": "parent_record",
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"AI建<49>??": "ai_suggestion"
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},
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"field_aliases": {
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"order_id": [
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"TR Number",
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"TR编号",
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"工单号",
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"Order ID",
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"Ticket ID",
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"工单编号",
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"新字段1",
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"新字段"
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],
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"description": [
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"TR Description",
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"TR描述",
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"描述",
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"Description",
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"问题描述",
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"详细描述"
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],
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"category": [
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"Type of problem",
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"问题类型",
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"Category",
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"分类",
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"Problem Type",
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"问题分类"
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],
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"priority": [
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"TR Level",
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"优先级",
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"Priority",
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"Level",
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"紧急程度",
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"重要程度"
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],
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"status": [
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"TR Status",
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"状态",
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"Status",
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"工单状态",
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"处理状态"
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],
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"source": [
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"Source",
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"来源",
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"Source Type",
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"来源类型",
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"提交来源"
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],
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"created_at": [
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"Date creation",
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"创建日期",
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"Created At",
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"Creation Date",
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"创建时间"
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],
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"solution": [
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"处理过程",
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"Solution",
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"解决方案",
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"Process",
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"处理方案"
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],
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"resolution": [
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"TR tracking",
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"Resolution",
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"解决结果",
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"跟踪",
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"处理结果"
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],
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"created_by": [
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"Created by",
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"创建人",
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"Creator",
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"Created By",
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"提交人"
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],
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"vehicle_type": [
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"Vehicle Type01",
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"车型",
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"Vehicle Type",
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"车辆类型",
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"车款"
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],
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"vin_sim": [
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"VIN|sim",
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"VIN",
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"车架号",
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"SIM",
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"VIN/SIM",
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"车辆识别号"
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],
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"module": [
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"Module（模块）",
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"模块",
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"Module",
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"功能模块"
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],
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"wilfulness": [
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"Wilfulness（责任人）",
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"责任人",
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"负责人",
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"Assignee"
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],
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"date_of_close": [
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"Date of close TR",
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"关闭日期",
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"Close Date",
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"完成日期"
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],
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"app_remote_control_version": [
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"App remote control version",
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"应用远程控制版本",
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"App Version",
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"应用版本"
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],
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"hmi_sw": [
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"HMI SW",
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|||
|
|
"HMI软件版本",
|
|||
|
|
"HMI Software",
|
|||
|
|
"人机界面软件"
|
|||
|
|
],
|
|||
|
|
"parent_record": [
|
|||
|
|
"父记录",
|
|||
|
|
"Parent Record",
|
|||
|
|
"上级记录",
|
|||
|
|
"关联记录"
|
|||
|
|
],
|
|||
|
|
"has_updated_same_day": [
|
|||
|
|
"Has it been updated on the same day",
|
|||
|
|
"是否同日更新",
|
|||
|
|
"Same Day Update",
|
|||
|
|
"当日更新"
|
|||
|
|
],
|
|||
|
|
"operating_time": [
|
|||
|
|
"Operating time",
|
|||
|
|
"操作时间",
|
|||
|
|
"Operation Time",
|
|||
|
|
"运行时间"
|
|||
|
|
],
|
|||
|
|
"ai_suggestion": [
|
|||
|
|
"AI建议",
|
|||
|
|
"AI Suggestion",
|
|||
|
|
"AI建议",
|
|||
|
|
"智能建议"
|
|||
|
|
],
|
|||
|
|
"updated_at": [
|
|||
|
|
"Issue Start Time",
|
|||
|
|
"问题开始时间",
|
|||
|
|
"Start Time",
|
|||
|
|
"更新时间"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"field_patterns": {
|
|||
|
|
"order_id": [
|
|||
|
|
".*number.*",
|
|||
|
|
".*id.*",
|
|||
|
|
".*编号.*",
|
|||
|
|
".*ticket.*",
|
|||
|
|
".*新.*"
|
|||
|
|
],
|
|||
|
|
"description": [
|
|||
|
|
".*description.*",
|
|||
|
|
".*描述.*",
|
|||
|
|
".*detail.*",
|
|||
|
|
".*内容.*"
|
|||
|
|
],
|
|||
|
|
"category": [
|
|||
|
|
".*type.*",
|
|||
|
|
".*category.*",
|
|||
|
|
".*分类.*",
|
|||
|
|
".*类型.*",
|
|||
|
|
".*problem.*"
|
|||
|
|
],
|
|||
|
|
"priority": [
|
|||
|
|
".*level.*",
|
|||
|
|
".*priority.*",
|
|||
|
|
".*优先级.*",
|
|||
|
|
".*urgent.*"
|
|||
|
|
],
|
|||
|
|
"status": [
|
|||
|
|
".*status.*",
|
|||
|
|
".*状态.*",
|
|||
|
|
".*state.*"
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
".*source.*",
|
|||
|
|
".*来源.*",
|
|||
|
|
".*origin.*"
|
|||
|
|
],
|
|||
|
|
"created_at": [
|
|||
|
|
".*creation.*",
|
|||
|
|
".*created.*",
|
|||
|
|
".*创建.*",
|
|||
|
|
".*date.*"
|
|||
|
|
],
|
|||
|
|
"solution": [
|
|||
|
|
".*solution.*",
|
|||
|
|
".*处理.*",
|
|||
|
|
".*解决.*",
|
|||
|
|
".*process.*"
|
|||
|
|
],
|
|||
|
|
"resolution": [
|
|||
|
|
".*resolution.*",
|
|||
|
|
".*tracking.*",
|
|||
|
|
".*跟踪.*",
|
|||
|
|
".*result.*"
|
|||
|
|
],
|
|||
|
|
"created_by": [
|
|||
|
|
".*created.*by.*",
|
|||
|
|
".*creator.*",
|
|||
|
|
".*创建人.*",
|
|||
|
|
".*author.*"
|
|||
|
|
],
|
|||
|
|
"vehicle_type": [
|
|||
|
|
".*vehicle.*type.*",
|
|||
|
|
".*车型.*",
|
|||
|
|
".*车辆.*",
|
|||
|
|
".*car.*"
|
|||
|
|
],
|
|||
|
|
"vin_sim": [
|
|||
|
|
".*vin.*",
|
|||
|
|
".*sim.*",
|
|||
|
|
".*车架.*",
|
|||
|
|
".*识别.*"
|
|||
|
|
],
|
|||
|
|
"module": [
|
|||
|
|
".*module.*",
|
|||
|
|
".*模块.*",
|
|||
|
|
".*功能.*"
|
|||
|
|
],
|
|||
|
|
"wilfulness": [
|
|||
|
|
".*wilfulness.*",
|
|||
|
|
".*责任人.*",
|
|||
|
|
".*负责人.*",
|
|||
|
|
".*assignee.*"
|
|||
|
|
],
|
|||
|
|
"date_of_close": [
|
|||
|
|
".*close.*",
|
|||
|
|
".*关闭.*",
|
|||
|
|
".*完成.*",
|
|||
|
|
".*finish.*"
|
|||
|
|
],
|
|||
|
|
"app_remote_control_version": [
|
|||
|
|
".*app.*version.*",
|
|||
|
|
".*应用.*版本.*",
|
|||
|
|
".*remote.*control.*"
|
|||
|
|
],
|
|||
|
|
"hmi_sw": [
|
|||
|
|
".*hmi.*",
|
|||
|
|
".*软件.*",
|
|||
|
|
".*software.*"
|
|||
|
|
],
|
|||
|
|
"parent_record": [
|
|||
|
|
".*parent.*",
|
|||
|
|
".*父.*",
|
|||
|
|
".*上级.*",
|
|||
|
|
".*关联.*"
|
|||
|
|
],
|
|||
|
|
"has_updated_same_day": [
|
|||
|
|
".*same.*day.*",
|
|||
|
|
".*同日.*",
|
|||
|
|
".*当日.*",
|
|||
|
|
".*updated.*same.*"
|
|||
|
|
],
|
|||
|
|
"operating_time": [
|
|||
|
|
".*operating.*time.*",
|
|||
|
|
".*操作.*时间.*",
|
|||
|
|
".*运行.*时间.*"
|
|||
|
|
],
|
|||
|
|
"ai_suggestion": [
|
|||
|
|
".*ai.*suggestion.*",
|
|||
|
|
".*ai.*建议.*",
|
|||
|
|
".*智能.*建议.*"
|
|||
|
|
],
|
|||
|
|
"updated_at": [
|
|||
|
|
".*start.*time.*",
|
|||
|
|
".*开始.*时间.*",
|
|||
|
|
".*updated.*at.*",
|
|||
|
|
".*更新时间.*"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"field_priorities": {
|
|||
|
|
"order_id": 3,
|
|||
|
|
"description": 3,
|
|||
|
|
"category": 3,
|
|||
|
|
"priority": 3,
|
|||
|
|
"status": 3,
|
|||
|
|
"created_at": 3,
|
|||
|
|
"source": 3,
|
|||
|
|
"solution": 3,
|
|||
|
|
"resolution": 3,
|
|||
|
|
"created_by": 3,
|
|||
|
|
"vehicle_type": 3,
|
|||
|
|
"vin_sim": 3,
|
|||
|
|
"module": 3,
|
|||
|
|
"wilfulness": 3,
|
|||
|
|
"date_of_close": 3,
|
|||
|
|
"app_remote_control_version": 3,
|
|||
|
|
"hmi_sw": 3,
|
|||
|
|
"parent_record": 3,
|
|||
|
|
"has_updated_same_day": 3,
|
|||
|
|
"operating_time": 3,
|
|||
|
|
"ai_suggestion": 3,
|
|||
|
|
"updated_at": 3
|
|||
|
|
},
|
|||
|
|
"auto_mapping_enabled": true,
|
|||
|
|
"similarity_threshold": 0.6
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
################################################################################
|
|||
|
|
# DEPRECATED CONFIGURATION FILE: config/unified_config.json
|
|||
|
|
################################################################################
|
|||
|
|
{
|
|||
|
|
"database": {
|
|||
|
|
"url": "mysql+pymysql://tsp_assistant:password@jeason.online/tsp_assistant?charset=utf8mb4",
|
|||
|
|
"pool_size": 10,
|
|||
|
|
"max_overflow": 20,
|
|||
|
|
"pool_timeout": 30,
|
|||
|
|
"pool_recycle": 3600
|
|||
|
|
},
|
|||
|
|
"llm": {
|
|||
|
|
"provider": "qwen",
|
|||
|
|
"api_key": "sk-c0dbefa1718d46eaa897199135066f00",
|
|||
|
|
"base_url": "https://dashscope.aliyuncs.com/compatible-mode/v1",
|
|||
|
|
"model": "qwen-plus-latest",
|
|||
|
|
"temperature": 0.7,
|
|||
|
|
"max_tokens": 2000,
|
|||
|
|
"timeout": 30
|
|||
|
|
},
|
|||
|
|
"server": {
|
|||
|
|
"host": "0.0.0.0",
|
|||
|
|
"port": 5000,
|
|||
|
|
"websocket_port": 8765,
|
|||
|
|
"debug": false,
|
|||
|
|
"log_level": "INFO"
|
|||
|
|
},
|
|||
|
|
"feishu": {
|
|||
|
|
"app_id": "",
|
|||
|
|
"app_secret": "",
|
|||
|
|
"app_token": "",
|
|||
|
|
"table_id": "",
|
|||
|
|
"status": "active",
|
|||
|
|
"sync_limit": 10,
|
|||
|
|
"auto_sync_interval": 0
|
|||
|
|
},
|
|||
|
|
"ai_accuracy": {
|
|||
|
|
"auto_approve_threshold": 0.95,
|
|||
|
|
"use_human_resolution_threshold": 0.9,
|
|||
|
|
"manual_review_threshold": 0.8,
|
|||
|
|
"ai_suggestion_confidence": 0.95,
|
|||
|
|
"human_resolution_confidence": 0.9,
|
|||
|
|
"prefer_human_when_low_accuracy": true,
|
|||
|
|
"enable_auto_approval": true,
|
|||
|
|
"enable_human_fallback": true
|
|||
|
|
},
|
|||
|
|
"system": {
|
|||
|
|
"backup_enabled": true,
|
|||
|
|
"backup_interval": 24,
|
|||
|
|
"max_backup_files": 7,
|
|||
|
|
"cache_enabled": true,
|
|||
|
|
"cache_ttl": 3600,
|
|||
|
|
"monitoring_enabled": true
|
|||
|
|
}
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
################################################################################
|
|||
|
|
# DEPRECATED CONFIGURATION FILE: src/config/config.py
|
|||
|
|
################################################################################
|
|||
|
|
import os
|
|||
|
|
from typing import Dict, Any
|
|||
|
|
|
|||
|
|
class Config:
|
|||
|
|
"""系统配置类"""
|
|||
|
|
|
|||
|
|
# 阿里云千问API配置
|
|||
|
|
ALIBABA_API_KEY = "sk-c0dbefa1718d46eaa897199135066f00"
|
|||
|
|
ALIBABA_BASE_URL = "https://dashscope.aliyuncs.com/compatible-mode/v1"
|
|||
|
|
ALIBABA_MODEL_NAME = "qwen-plus-latest"
|
|||
|
|
|
|||
|
|
# 数据库配置
|
|||
|
|
DATABASE_URL = "mysql+pymysql://tsp_assistant:123456@jeason.online/tsp_assistant?charset=utf8mb4"
|
|||
|
|
# DATABASE_URL = "sqlite:///local_test.db" # 本地测试数据库
|
|||
|
|
|
|||
|
|
# 知识库配置
|
|||
|
|
KNOWLEDGE_BASE_PATH = "data/knowledge_base"
|
|||
|
|
VECTOR_DB_PATH = "data/vector_db"
|
|||
|
|
|
|||
|
|
# 对话配置
|
|||
|
|
MAX_HISTORY_LENGTH = 10
|
|||
|
|
RESPONSE_TIMEOUT = 30
|
|||
|
|
|
|||
|
|
# 分析配置
|
|||
|
|
ANALYTICS_UPDATE_INTERVAL = 3600 # 1小时
|
|||
|
|
ALERT_THRESHOLD = 0.8 # 预警阈值
|
|||
|
|
|
|||
|
|
# 日志配置
|
|||
|
|
LOG_LEVEL = "INFO"
|
|||
|
|
LOG_FILE = "logs/tsp_assistant.log"
|
|||
|
|
|
|||
|
|
# 系统监控配置
|
|||
|
|
SYSTEM_MONITORING = True # 是否启用系统监控
|
|||
|
|
MONITORING_INTERVAL = 60 # 监控间隔（秒）
|
|||
|
|
|
|||
|
|
@classmethod
|
|||
|
|
def get_api_config(cls) -> Dict[str, Any]:
|
|||
|
|
"""获取API配置"""
|
|||
|
|
return {
|
|||
|
|
"api_key": cls.ALIBABA_API_KEY,
|
|||
|
|
"base_url": cls.ALIBABA_BASE_URL,
|
|||
|
|
"model_name": cls.ALIBABA_MODEL_NAME
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
@classmethod
|
|||
|
|
def get_database_config(cls) -> Dict[str, Any]:
|
|||
|
|
"""获取数据库配置"""
|
|||
|
|
return {
|
|||
|
|
"url": cls.DATABASE_URL,
|
|||
|
|
"echo": False
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
@classmethod
|
|||
|
|
def get_knowledge_config(cls) -> Dict[str, Any]:
|
|||
|
|
"""获取知识库配置"""
|
|||
|
|
return {
|
|||
|
|
"base_path": cls.KNOWLEDGE_BASE_PATH,
|
|||
|
|
"vector_db_path": cls.VECTOR_DB_PATH
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
@classmethod
|
|||
|
|
def get_config(cls) -> Dict[str, Any]:
|
|||
|
|
"""获取完整配置"""
|
|||
|
|
return {
|
|||
|
|
"system_monitoring": cls.SYSTEM_MONITORING,
|
|||
|
|
"monitoring_interval": cls.MONITORING_INTERVAL,
|
|||
|
|
"log_level": cls.LOG_LEVEL,
|
|||
|
|
"log_file": cls.LOG_FILE,
|
|||
|
|
"analytics_update_interval": cls.ANALYTICS_UPDATE_INTERVAL,
|
|||
|
|
"alert_threshold": cls.ALERT_THRESHOLD
|
|||
|
|
}
|
|||
|
|
|