调整了 ActionInterventor 中数据构建方法的组织方式

This commit is contained in:
2025-11-30 14:38:50 +08:00
parent 14a57f0be6
commit f48d559a7b
2 changed files with 168 additions and 147 deletions

View File

@@ -55,6 +55,9 @@ public class ActionInterventor extends PreRunningModule implements ActivateModel
@InjectCapability
private MemoryCapability memoryCapability;
private final AssemblyHelper assemblyHelper = new AssemblyHelper();
private final PromptHelper promptHelper = new PromptHelper();
/**
* 键: 本次调用uuid
* 值本次调用对应的prompt
@@ -71,15 +74,15 @@ public class ActionInterventor extends PreRunningModule implements ActivateModel
String uuid = context.getUuid();
String userId = context.getUserId();
RecognizerResult recognizerResult = interventionRecognizer
.execute(buildRecognizerInput(userId, context.getInput())); // 此处的输入内容携带了所有 PhaserRecord
.execute(assemblyHelper.buildRecognizerInput(userId, context.getInput())); // 此处的输入内容携带了所有 PhaserRecord
if (!recognizerResult.isOk()) {
setupNoInterventionPrompt(uuid);
promptHelper.setupNoInterventionPrompt(uuid);
return;
}
// 干预意图评估
EvaluatorResult evaluatorResult = interventionEvaluator
.execute(buildEvaluatorInput(recognizerResult, userId));
.execute(assemblyHelper.buildEvaluatorInput(recognizerResult, userId));
List<EvaluatedInterventionData> executingDataList = evaluatorResult.getExecutingDataList();
List<EvaluatedInterventionData> preparedDataList = evaluatorResult.getPreparedDataList();
@@ -90,10 +93,10 @@ public class ActionInterventor extends PreRunningModule implements ActivateModel
invalidActionKeysFilter(preparedDataList);
// 同步写入prompt异步处理干预行为异步在 interventionHandler 中体现
setupInterventionPrompt(uuid, executingDataList, preparedDataList);
interventionHandler.execute(buildHandlerInput(executingDataList, preparedDataList, recognizerResult));
promptHelper.setupInterventionPrompt(uuid, executingDataList, preparedDataList);
interventionHandler.execute(assemblyHelper.buildHandlerInput(executingDataList, preparedDataList, recognizerResult));
} else {
setupInterventionIgnoredPrompt(uuid, executingDataList, preparedDataList);
promptHelper.setupInterventionIgnoredPrompt(uuid, executingDataList, preparedDataList);
}
}
@@ -136,6 +139,30 @@ public class ActionInterventor extends PreRunningModule implements ActivateModel
return true;
}
@Override
public String modelKey() {
return "action_identifier";
}
@Override
public boolean withBasicPrompt() {
return false;
}
@Override
protected Map<String, String> getPromptDataMap(PartnerRunningFlowContext context) {
return interventionPrompt.remove(context.getUuid());
}
@Override
protected String moduleName() {
return "[行动干预识别模块]";
}
private final class AssemblyHelper {
private AssemblyHelper() {
}
/**
* @param executingDataList 对应评估结果中的‘执行中行动’
* @param preparedDataList 对应评估结果中的‘待执行行动’
@@ -193,6 +220,32 @@ public class ActionInterventor extends PreRunningModule implements ActivateModel
return result;
}
private RecognizerInput buildRecognizerInput(String userId, String input) {
RecognizerInput recognizerInput = new RecognizerInput();
recognizerInput.setInput(input);
recognizerInput.setUserDialogMapStr(memoryCapability.getUserDialogMapStr(userId));
// 参考的对话列表大小或需调整
recognizerInput.setRecentMessages(cognationCapability.getChatMessages());
recognizerInput.setExecutingActions(actionCapability.listPhaserRecords());
recognizerInput.setPreparedActions(actionCapability.listPreparedAction(userId));
return recognizerInput;
}
private EvaluatorInput buildEvaluatorInput(RecognizerResult recognizerResult, String userId) {
EvaluatorInput input = new EvaluatorInput();
input.setExecutingInterventions(recognizerResult.getExecutingInterventions());
input.setPreparedInterventions(recognizerResult.getPreparedInterventions());
input.setRecentMessages(cognationCapability.getChatMessages());
input.setActivatedSlices(memoryCapability.getActivatedSlices(userId));
return input;
}
}
private final class PromptHelper {
private PromptHelper() {
}
private void setupInterventionIgnoredPrompt(String uuid, List<EvaluatedInterventionData> executingDataList, List<EvaluatedInterventionData> preparedDataList) {
List<EvaluatedInterventionData> total = Stream.concat(executingDataList.stream(), preparedDataList.stream()).toList();
@@ -246,44 +299,5 @@ public class ActionInterventor extends PreRunningModule implements ActivateModel
"[识别状态] <是否识别到干预已存在行动的意图>", "未识别到干预意图",
"[干预行动] <将对已存在行动做出的行为>", "无行动"));
}
private EvaluatorInput buildEvaluatorInput(RecognizerResult recognizerResult, String userId) {
EvaluatorInput input = new EvaluatorInput();
input.setExecutingInterventions(recognizerResult.getExecutingInterventions());
input.setPreparedInterventions(recognizerResult.getPreparedInterventions());
input.setRecentMessages(cognationCapability.getChatMessages());
input.setActivatedSlices(memoryCapability.getActivatedSlices(userId));
return input;
}
private RecognizerInput buildRecognizerInput(String userId, String input) {
RecognizerInput recognizerInput = new RecognizerInput();
recognizerInput.setInput(input);
recognizerInput.setUserDialogMapStr(memoryCapability.getUserDialogMapStr(userId));
// 参考的对话列表大小或需调整
recognizerInput.setRecentMessages(cognationCapability.getChatMessages());
recognizerInput.setExecutingActions(actionCapability.listPhaserRecords());
recognizerInput.setPreparedActions(actionCapability.listPreparedAction(userId));
return recognizerInput;
}
@Override
public String modelKey() {
return "action_identifier";
}
@Override
public boolean withBasicPrompt() {
return false;
}
@Override
protected Map<String, String> getPromptDataMap(PartnerRunningFlowContext context) {
return interventionPrompt.remove(context.getUuid());
}
@Override
protected String moduleName() {
return "[行动干预识别模块]";
}
}

View File

@@ -1,14 +1,15 @@
package work.slhaf.partner.module.modules.action.planner;
import lombok.extern.slf4j.Slf4j;
import work.slhaf.partner.api.agent.factory.capability.annotation.InjectCapability;
import work.slhaf.partner.api.agent.factory.module.annotation.AfterExecute;
import work.slhaf.partner.api.agent.factory.module.annotation.AgentModule;
import work.slhaf.partner.api.agent.factory.module.annotation.Init;
import work.slhaf.partner.api.agent.factory.module.annotation.InjectModule;
import work.slhaf.partner.api.chat.pojo.Message;
import work.slhaf.partner.common.thread.InteractionThreadPoolExecutor;
import work.slhaf.partner.common.vector.VectorClient;
import work.slhaf.partner.core.action.ActionCapability;
import work.slhaf.partner.core.action.ActionCore;
import work.slhaf.partner.core.action.entity.ActionData;
import work.slhaf.partner.core.action.entity.ImmediateActionData;
import work.slhaf.partner.core.action.entity.MetaAction;
@@ -32,10 +33,12 @@ import work.slhaf.partner.runtime.interaction.data.context.PartnerRunningFlowCon
import java.util.*;
import java.util.concurrent.Callable;
import java.util.concurrent.ExecutorService;
/**
* 负责针对本次输入生成基础的行动计划,在主模型传达意愿后,执行行动或者放入计划池
*/
@Slf4j
@AgentModule(name = "action_planner", order = 2)
public class ActionPlanner extends PreRunningModule {
@@ -55,21 +58,25 @@ public class ActionPlanner extends PreRunningModule {
@InjectModule
private ActionConfirmer actionConfirmer;
private InteractionThreadPoolExecutor executor;
private ActionAssemblyHelper assemblyHelper;
private ExecutorService executor;
private final ActionAssemblyHelper assemblyHelper = new ActionAssemblyHelper();
@Init
public void init() {
executor = InteractionThreadPoolExecutor.getInstance();
assemblyHelper = new ActionAssemblyHelper();
executor = actionCapability.getExecutor(ActionCore.ExecutorType.VIRTUAL);
}
@Override
protected void doExecute(PartnerRunningFlowContext context) {
try {
List<Callable<Void>> tasks = new ArrayList<>();
addConfirmTask(tasks, context);
addNewActionTask(tasks, context);
executor.invokeAll(tasks);
} catch (Exception e) {
log.error("执行异常", e);
}
}
/**
@@ -200,7 +207,7 @@ public class ActionPlanner extends PreRunningModule {
return "[行动模块]";
}
private class ActionAssemblyHelper {
private final class ActionAssemblyHelper {
private ActionAssemblyHelper() {
}