feat：意图识别优化

app/processor/nodes/action_node.py

@@ -13,6 +13,7 @@ from app.processor.state import QueryState
 from app.prompt.action import build_action_prompt
 from app.schemas.action_validation import ActionValidationError, schema_errors
 from app.schemas.actions import ActionBatch, AddAction
+from app.schemas.operations import is_direct_operation
 
 
 def can_generate_actions(state: QueryState) -> bool:
@@ -47,12 +48,7 @@ def action_block_reason(state: QueryState) -> str | None:
     unsupported = [
         f"{change.target_scope}/{change.operation}"
         for change in requirement.changes
-        if not (
-            change.target_scope == "nodes"
-            and change.operation in ("move", "resize", "update", "delete")
-            or change.target_scope == "canvas"
-            and change.operation in ("update", "resize", "update_canvas")
-        )
+        if not is_direct_operation(change.target_scope, change.operation)
     ]
 
     # 如果存在不支持的操作，按出现顺序去重后返回原因，便于展示失败信息

app/processor/nodes/intent_node.py

@@ -1,15 +1,13 @@
 """意图识别节点"""
 
-from typing import cast
-
 from app.clients.decision import close_decision_engine, get_decision_engine
 from app.processor.base import BaseNode
+from app.processor.intent_policy import resolve_intent
 from app.processor.state import QueryState
 from app.prompt.intent import build_intent_question
 from app.schemas.base import JsonObject
 from app.schemas.decision import DecisionRequest
 from app.schemas.input_context import InputContext
-from app.schemas.requirement import Intent
 
 
 class IntentNode(BaseNode):
@@ -101,15 +99,17 @@ class IntentNode(BaseNode):
         # 从响应中取出 intent 对应的判断结果
         decision = decision_res.results["intent"]
 
-        # 如果模型无法明确意图，或置信度低于配置阈值，则转入澄清流程
-        if (
-            decision.choice == "unclear"
-            or decision.confidence < self.config.intent_min_confidence
-        ):
-            intent: Intent = "unclear"
-        else:
-            # 置信度达标时沿用模型选项，cast 仅作类型提示，不进行运行时转换或校验
-            intent = cast(Intent, decision.choice)
+        # 用户刚点选了澄清选项时，选择本身已表达明确意图
+        history = context.clarification_history
+        # 按选中项概率、风险和澄清轮数确定最终意图，规则集中在 intent_policy
+        intent = resolve_intent(
+            decision,
+            action_min_probability=self.config.intent_min_probability,
+            qa_min_probability=self.config.intent_qa_min_probability,
+            clarified_rounds=len(history),
+            max_clarify_rounds=self.config.intent_max_clarify_rounds,
+            option_selected=bool(history and history[-1].get("selected_option")),
+        )
 
         # 完整保留原始决策，便于查看模型选项及其置信度
         updated_state["intent_decision"] = decision_res

app/processor/nodes/reflection_node.py

@@ -10,6 +10,7 @@ from app.actions.plan import plan_materials
 from app.clients.llm import get_llm
 from app.processor.base import BaseNode
 from app.processor.state import QueryState
+from app.schemas.capabilities import USER_FAILURE_MESSAGE
 from app.prompt.reflection import REFLECTION_SYSTEM_PROMPT
 from app.schemas.action_repair import ActionRepairPlan
 
@@ -71,8 +72,12 @@ class ReflectionNode(BaseNode):
         updated_state["repair_plan"] = plan
         # 仅在建议允许重试时将次数加一，缺少历史计数时从零开始，不可重试时保持原次数
         updated_state["retry_count"] = state.get("retry_count", 0) + int(plan.retryable)
-        # 可以重试时清空旧失败原因，否则使用建议中的原因说明为何停止修正
-        updated_state["failure_reason"] = None if plan.retryable else plan.reason
+        # 可以重试时清空旧失败原因；不可重试时建议中的分析含内部术语，只记录日志，对用户使用统一说明
+        if not plan.retryable:
+            self.logger.warning("动作无法修正: {}", plan.reason)
+        updated_state["failure_reason"] = (
+            None if plan.retryable else USER_FAILURE_MESSAGE
+        )
 
         # 返回修正建议、重试次数和失败原因，由后续路由决定重新生成动作还是结束
         return updated_state

app/processor/nodes/requirement_node.py

@@ -56,6 +56,27 @@ class RequirementNode(BaseNode):
                 # 如果存在无效目标，立即抛出异常，并排序输出 ID 以便定位问题
                 raise ValueError(f"需求引用了不存在的节点: {sorted(unknown_ids)}")
 
+        # 纯新增需求缺少位置、尺寸等信息时不澄清，采用默认值先执行，用户之后可再次提出调整
+        # 提示词无法保证模型每次都遵守，因此在这里兜底；含待确认目标的需求不受影响
+        if (
+            requirement.needs_clarification
+            and requirement.changes
+            and all(
+                change.target_scope == "screen" and change.operation == "add"
+                for change in requirement.changes
+            )
+        ):
+            requirement = requirement.model_copy(
+                update={
+                    "needs_clarification": False,
+                    "clarification_question": None,
+                    "assumptions": [
+                        *requirement.assumptions,
+                        "未指定的位置、尺寸和数据来源采用默认值，数据使用物料示例数据",
+                    ],
+                }
+            )
+
         # 保存通过结构及目标校验的需求，供后续澄清或范围判断使用
         updated_state["requirement"] = requirement
         # 返回更新后的状态，由图继续执行后续节点

app/processor/nodes/validator_node.py

@@ -8,6 +8,7 @@ from app.processor.base import BaseNode
 from app.processor.state import QueryState
 from app.schemas.action_validation import ActionValidationError, schema_errors
 from app.schemas.actions import ActionBatch, AddAction, UpdateCanvasAction
+from app.schemas.operations import is_canvas_operation
 
 
 class ValidatorNode(BaseNode):
@@ -76,8 +77,7 @@ class ValidatorNode(BaseNode):
             allowed.update(
                 ("canvas", "", "update_canvas")
                 for change in requirement.changes
-                if change.target_scope == "canvas"
-                and change.operation in ("update", "resize", "update_canvas")
+                if is_canvas_operation(change.target_scope, change.operation)
             )
 
             # 画布没有组件 ID，使用独立作用域避免与同名组件混淆