feat: 2026-07-11 全量更新 - 代办集成+会议室预定+知识迭代修复+UI统一+Bug修复
== 已部署上线 (9项) == - 代办事项真实数据源集成 (企微审批API 8bug修复链) - H5/坐席端 Logo样式统一+绿色背景 - 视频引导页修复 (localStorage key v2) - 坐席端 v9 Vue版本修复 (ElMessage._context) - 截图按钮 v10 修复 (getDisplayMedia user gesture) - 扫码样式恢复+H5扫码登录跳转修复 - H5截图快捷键提示 == 代码完成待部署 (3项) == - 知识迭代3Bug修复 (#8 POST端点/#7 MERGE幂等/#6 过期检查) - 会议室预定-小鱼易联终端 (40文件, 40/40测试通过) - IT资产升级审批推送 (asset_service.py) == 需求文档 (2项) == - 坐席端AI辅助消息框-PRD (4项新功能确认) - 坐席端布局优化建议 v2.0 (7天计划) == 新增文档 == - 日报-2026-07-11.md - 知识迭代Bug修复报告-20260711.md - 会议室预定-部署指南.md - CHANGELOG.md 更新 == 测试 == - test_todo_integration.py: 40/40 - test_meetingroom.py: 40/40 - test_bugfix_ki_suggestions.py: 21/21
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Simon
@@ -7,11 +7,15 @@
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# 生产基址（任务指定）：http://yw-dify.dc.servyou-it.com/dify2openai/
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#
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# 返回结构（供 IntentRouter 使用）：
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# {"scenario_key": str|None, "confidence": float, "raw": str, "error": str}
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# {"global_intent": str|None, "scenario_key": str|None, "confidence": float,
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# "corrected_field": str|None, "old_value": str|None, "new_value": str|None,
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# "supplement_field": str|None, "supplement_value": str|None,
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# "raw": str, "error": str}
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# global_intent ∈ {pause, resume_task, correct, supplement, None}
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# scenario_key ∈ {password_reset, software_install, virus_dispose, terminal_locate}
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#
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# 降级：Dify 未配置或调用失败 → _fallback_intent 走关键词兜底（关键词取自
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# app.services.automation.DEFAULT_SCENARIO_CONFIGS），保证无真实环境也能闭环。
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# 降级：Dify 未配置或调用失败 → _fallback_intent 走关键词兜底（先匹配全局意图
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# 关键词，未命中再匹配场景关键词），保证无真实环境也能闭环。
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# =============================================================================
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from __future__ import annotations
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@@ -32,12 +36,28 @@ logger = logging.getLogger(__name__)
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_DEFAULT_TIMEOUT = 30.0
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# 意图识别提示词：要求模型仅输出 JSON
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# 复杂场景重构：在现有4场景分类基础上，增加全局对话控制意图判断
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_SYSTEM_PROMPT = (
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"你是IT服务台意图分类器。根据用户诉求，判断其属于以下哪个场景之一，"
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"并仅输出一个 JSON 对象，不要输出任何额外文字：\n"
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'{"scenario_key": "password_reset|software_install|virus_dispose|terminal_locate|unknown", '
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'"confidence": 0.0~1.0}\n'
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"场景说明：\n"
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"你是IT服务台意图分类器。根据用户诉求，首先判断是否属于「全局对话控制意图」，"
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"如果不是全局控制意图，再判断其属于哪个IT场景。\n"
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"仅输出一个 JSON 对象，不要输出任何额外文字：\n"
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'{\n'
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' "global_intent": "pause|resume_task|correct|supplement|null",\n'
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' "scenario_key": "password_reset|software_install|virus_dispose|terminal_locate|unknown",\n'
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' "confidence": 0.0~1.0,\n'
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' "corrected_field": "字段名（仅correct时填写）",\n'
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' "old_value": "旧值（仅correct时填写）",\n'
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' "new_value": "新值（仅correct时填写）",\n'
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' "supplement_field": "字段名（仅supplement时填写）",\n'
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' "supplement_value": "补充值（仅supplement时填写）"\n'
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'}\n'
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"全局意图说明（优先判断，命中后 scenario_key 设为 unknown）：\n"
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"- pause: 用户要暂停/离开当前任务（如\"先去开会\"\"等会继续\"\"暂停\"）\n"
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"- resume_task: 用户要恢复之前暂停的任务（如\"继续\"\"继续刚才\"\"回来了\"）\n"
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"- correct: 用户要更正之前提供的信息（如\"刚才说错了\"\"不是xx是xx\"\"应该是\"）\n"
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"- supplement: 用户要补充额外信息（如\"再补充一下\"\"顺便说一下\"\"还有\"）\n"
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"- null: 不属于以上任何全局意图，走场景分类\n"
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"场景说明（仅 global_intent 为 null 时判断）：\n"
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"- password_reset: 忘记/重置密码、账号密码相关\n"
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"- software_install: 安装/下载软件\n"
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"- virus_dispose: 病毒、木马、勒索、杀毒\n"
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@@ -79,10 +99,12 @@ class DifyClient(BaseClient):
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async def detect_intent(
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self, description: str, employee_id: str = ""
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) -> Dict[str, Any]:
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"""调用 Dify 识别意图。
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"""调用 Dify 识别意图（含全局意图判断）。
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Returns:
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Dict: {scenario_key, confidence, raw, error}
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Dict: {global_intent, scenario_key, confidence, corrected_field,
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old_value, new_value, supplement_field, supplement_value,
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raw, error}
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"""
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prompt = description or ""
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body = {
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@@ -114,11 +136,24 @@ class DifyClient(BaseClient):
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choices = data.get("choices") or []
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content = choices[0]["message"]["content"] if choices else ""
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parsed = json.loads(content)
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# 全局意图解析
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global_intent_raw = parsed.get("global_intent")
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global_intent: Optional[str] = None
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if global_intent_raw and global_intent_raw != "null":
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global_intent = global_intent_raw
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scenario_key = parsed.get("scenario_key")
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confidence = float(parsed.get("confidence", 0.0))
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return {
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"global_intent": global_intent,
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"scenario_key": scenario_key if scenario_key != "unknown" else None,
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"confidence": confidence,
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"corrected_field": parsed.get("corrected_field"),
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"old_value": parsed.get("old_value"),
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"new_value": parsed.get("new_value"),
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"supplement_field": parsed.get("supplement_field"),
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"supplement_value": parsed.get("supplement_value"),
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"raw": content,
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"error": "",
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}
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@@ -132,10 +167,33 @@ class DifyClient(BaseClient):
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def _fallback_intent(description: str) -> Dict[str, Any]:
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"""关键词兜底（无 Dify / 解析失败时）。
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关键词取自 DEFAULT_SCENARIO_CONFIGS 的 trigger_conditions.keywords；
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命中即返回该场景，置信度取 0.6（恰好达到阈值，可继续编排）。
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复杂场景重构：先做全局意图关键词匹配，命中则返回全局意图；
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未命中则走原场景关键词匹配。
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"""
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text = (description or "").lower()
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# 1. 全局意图关键词兜底
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try:
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from app.constants import GLOBAL_INTENT_KEYWORDS
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for intent, keywords in GLOBAL_INTENT_KEYWORDS.items():
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if any(kw.lower() in text for kw in keywords):
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return {
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"global_intent": intent,
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"scenario_key": None,
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"confidence": 0.6,
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"corrected_field": None,
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"old_value": None,
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"new_value": None,
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"supplement_field": None,
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"supplement_value": None,
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"raw": "",
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"error": "fallback",
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}
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except Exception: # noqa: BLE001
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pass
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# 2. 场景关键词兜底
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scenario_key: Optional[str] = None
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try: # 懒加载，避免循环依赖
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from app.services.automation import DEFAULT_SCENARIO_CONFIGS
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@@ -149,8 +207,14 @@ class DifyClient(BaseClient):
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except Exception: # noqa: BLE001
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pass
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return {
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"global_intent": None,
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"scenario_key": scenario_key,
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"confidence": 0.6 if scenario_key else 0.0,
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"corrected_field": None,
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"old_value": None,
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"new_value": None,
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"supplement_field": None,
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"supplement_value": None,
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"raw": "",
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"error": "fallback",
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}
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