package com.superbiz.agent.service;

import com.alibaba.cloud.ai.graph.agent.ReactAgent;
import com.alibaba.cloud.ai.graph.skills.registry.SkillRegistry;
import com.alibaba.cloud.ai.graph.skills.registry.classpath.ClasspathSkillRegistry;
import com.superbiz.agent.agent.tool.DateTimeTools;
import com.superbiz.agent.agent.tool.QueryLogsTools;
import com.superbiz.agent.agent.tool.QueryMetricsTools;
import com.superbiz.agent.domain.entity.AgentStep;
import com.superbiz.agent.domain.entity.DiagnosisSession;
import com.superbiz.agent.domain.entity.ToolInvocation;
import com.superbiz.agent.repository.AgentStepRepository;
import com.superbiz.agent.repository.DiagnosisSessionRepository;
import com.superbiz.agent.repository.ToolInvocationRepository;
import com.superbiz.agent.tool.LookupKnowledgeTool;
import com.superbiz.agent.tool.RetrievedDocTracker;
import org.junit.jupiter.api.Test;
import org.springframework.ai.chat.messages.AssistantMessage;
import org.springframework.ai.chat.model.ChatModel;
import org.springframework.ai.chat.model.ChatResponse;
import org.springframework.ai.chat.model.Generation;
import org.springframework.ai.chat.prompt.Prompt;
import org.springframework.ai.tool.ToolCallback;
import org.springframework.test.util.ReflectionTestUtils;
import org.mockito.ArgumentCaptor;

import java.util.List;
import java.util.Map;
import java.util.Optional;
import java.util.concurrent.atomic.AtomicInteger;

import static org.junit.jupiter.api.Assertions.assertEquals;
import static org.junit.jupiter.api.Assertions.assertFalse;
import static org.junit.jupiter.api.Assertions.assertSame;
import static org.junit.jupiter.api.Assertions.assertTrue;
import static org.mockito.ArgumentMatchers.any;
import static org.mockito.ArgumentMatchers.anyString;
import static org.mockito.ArgumentMatchers.isNull;
import static org.mockito.Mockito.verify;
import static org.mockito.Mockito.mock;
import static org.mockito.Mockito.when;

class ChatServiceSequentialAgentTest {

    @Test
    void executeChatComplexInvokesSequentialWorkflow() throws Exception {
        ChatService chatService = createChatService();
        ScriptedChatModel chatModel = new ScriptedChatModel();

        ChatService.ChatResult result = chatService.executeChatComplex(
                chatModel,
                new ToolCallback[0],
                "请分析订单支付超时的原因，并给出修复建议",
                List.of(),
                "sequential-test-session"
        );

        assertTrue(result.answer().contains("连接池 active 达到上限"));
        assertFalse(result.answer().contains("\"answer_version\""));
        assertEquals("sequential-test-session", result.sessionId());
        assertEquals(List.of("chat_planner", "chat_executor", "chat_verifier", "chat_composer"), chatModel.agentCalls);
        assertTrue(chatModel.sawVerifierPrompt);
    }

    @Test
    void executeChatComplexDoesNotRetryLowConfidenceByDefault() throws Exception {
        ChatService chatService = createChatService();
        ScriptedChatModel chatModel = new ScriptedChatModel("""
                {
                  "verdict": "LOW_CONFID",
                  "groundedness_score": 0.1,
                  "critical_fact_count": 1,
                  "facts_checked": [
                    {
                      "fact": "missing direct evidence",
                      "is_critical": true,
                      "verification": "no_evidence",
                      "detail": "scripted evidence gap",
                      "evidence_refs": []
                    }
                  ],
                  "rationale": "scripted low confidence"
                }
                """);
        chatModel.composerOutput = "not-json";

        ChatService.ChatResult result = chatService.executeChatComplex(
                chatModel,
                new ToolCallback[0],
                "请分析订单支付超时的原因，并给出修复建议",
                List.of(),
                "sequential-low-confidence-session"
        );

        assertTrue(result.answer().startsWith("以下结论基于当前已获取证据"));
        assertFalse(result.answer().contains("EXECUTOR_FINAL_ANSWER"));
        assertTrue(result.answer().contains("当前缺口"));
        assertEquals(List.of("chat_planner", "chat_executor", "chat_verifier", "chat_composer"), chatModel.agentCalls);
    }

    @Test
    void executeChatComplexLowConfidenceConfirmedFactsOnlyUseDirectEvidence() throws Exception {
        ChatService chatService = createChatService();
        ScriptedChatModel chatModel = new ScriptedChatModel("""
                {
                  "verdict": "LOW_CONFID",
                  "groundedness_score": 0.37,
                  "critical_fact_count": 3,
                  "facts_checked": [
                    {
                      "fact": "连接池耗尽 active=50/50",
                      "is_critical": true,
                      "verification": "direct_evidence",
                      "detail": "log evidence",
                      "evidence_refs": []
                    },
                    {
                      "fact": "临时扩容连接池到 80",
                      "is_critical": true,
                      "verification": "indirect_support",
                      "detail": "suggestion inferred from evidence",
                      "evidence_refs": []
                    },
                    {
                      "fact": "OOM 导致连接泄漏",
                      "is_critical": true,
                      "verification": "no_evidence",
                      "detail": "missing OOM log",
                      "evidence_refs": []
                    }
                  ],
                  "rationale": "scripted low confidence"
                }
                """);
        chatModel.composerOutput = "not-json";

        ChatService.ChatResult result = chatService.executeChatComplex(
                chatModel,
                new ToolCallback[0],
                "请分析 MySQL 连接池耗尽",
                List.of(),
                "sequential-low-confid-direct-only-session"
        );

        assertTrue(result.answer().contains("已确认信息：\n- 连接池耗尽 active=50/50"));
        assertTrue(result.answer().contains("80"));
        assertTrue(result.answer().contains("suggestion inferred from evidence"));
        assertTrue(result.answer().contains("missing OOM log"));
        assertFalse(result.answer().contains("EXECUTOR_FINAL_ANSWER"));
    }

    @Test
    void executeChatComplexFallsBackToLowConfidenceWhenVerifierOutputMissing() throws Exception {
        ChatService chatService = createChatService();
        ScriptedChatModel chatModel = new ScriptedChatModel("", "");

        ChatService.ChatResult result = chatService.executeChatComplex(
                chatModel,
                new ToolCallback[0],
                "请分析订单支付超时的原因，并给出修复建议",
                List.of(),
                "sequential-missing-verifier-session"
        );

        assertTrue(result.answer().startsWith("以下结论基于当前已获取证据"));
        assertEquals(List.of("chat_planner", "chat_executor", "chat_verifier", "chat_verifier"), chatModel.agentCalls);
    }

    @Test
    void executeChatComplexFallsBackToLowConfidenceWhenVerifierJsonInvalid() throws Exception {
        ChatService chatService = createChatService();
        ScriptedChatModel chatModel = new ScriptedChatModel("not-json");

        ChatService.ChatResult result = chatService.executeChatComplex(
                chatModel,
                new ToolCallback[0],
                "请分析订单支付超时的原因，并给出修复建议",
                List.of(),
                "sequential-invalid-verifier-session"
        );

        assertEquals(List.of("chat_planner", "chat_executor", "chat_verifier"), chatModel.agentCalls);
    }

    @Test
    void executeChatComplexRejectOutputDoesNotLeakExecutorAnswer() throws Exception {
        ChatService chatService = createChatService();
        ScriptedChatModel chatModel = new ScriptedChatModel("""
                {
                  "verdict": "REJECT",
                  "groundedness_score": 0.0,
                  "critical_fact_count": 1,
                  "facts_checked": [
                    {
                      "fact": "payment timeout root cause",
                      "is_critical": true,
                      "verification": "contradicted",
                      "detail": "scripted contradiction",
                      "evidence_refs": []
                    }
                  ],
                  "rationale": "scripted reject"
                }
                """);
        chatModel.composerOutput = "not-json";

        ChatService.ChatResult result = chatService.executeChatComplex(
                chatModel,
                new ToolCallback[0],
                "请分析订单支付超时的原因，并给出修复建议",
                List.of(),
                "sequential-reject-session"
        );

        assertTrue(result.answer().startsWith("当前无法基于已获取证据生成可靠结论"));
        assertFalse(result.answer().contains("EXECUTOR_FINAL_ANSWER"));
    }

    @Test
    void executeChatComplexRunsPlannerExecutorVerifierInFixedOrder() throws Exception {
        ChatService chatService = createChatService();
        ScriptedChatModel chatModel = new ScriptedChatModel();

        ChatService.ChatResult result = chatService.executeChatComplex(
                chatModel,
                new ToolCallback[0],
                "请分析订单支付超时的原因，并给出修复建议",
                List.of(),
                "sequential-workflow-session"
        );

        assertTrue(result.answer().contains("连接池 active 达到上限"));
        assertFalse(result.answer().contains("\"answer_version\""));
        assertEquals(List.of("chat_planner", "chat_executor", "chat_verifier", "chat_composer"), chatModel.agentCalls);
        assertTrue(chatModel.sawVerifierPrompt);
    }

    @Test
    void verifierReceivesStructuredExecutorPayloadFields() throws Exception {
        ChatService chatService = createChatService();
        ScriptedChatModel chatModel = new ScriptedChatModel();
        chatModel.executorOutput = """
                {
                  "answer_version": "executor_evidence_v2",
                  "claims": [
                    {
                      "claim_id": "claim-1",
                      "claim_type": "symptom",
                      "claim_text": "连接池 active 达到上限",
                      "support_level": "direct",
                      "evidence_bindings": [
                        {
                          "source_type": "tool_trace",
                          "source_id": "trace-1",
                          "tool_name": "query_metrics",
                          "source_invocation_id": 101,
                          "raw_path": "$.alerts[0]",
                          "evidence_excerpt": "active=50 max=50"
                        }
                      ]
                    }
                  ],
                  "hypotheses": [],
                  "recommended_actions": [],
                  "missing_info": []
                }
                """;

        ChatService.ChatResult result = chatService.executeChatComplex(
                chatModel,
                new ToolCallback[0],
                "请分析 MySQL 连接池耗尽",
                List.of(),
                "sequential-structured-executor-session"
        );

        assertTrue(result.answer().contains("连接池 active 达到上限"));
        assertFalse(result.answer().contains("\"answer_version\""));
        assertTrue(chatModel.verifierPromptText.contains("\"executor_structured_output\""));
        assertTrue(chatModel.verifierPromptText.contains("\"executor_output_parse_status\""));
        assertTrue(chatModel.verifierPromptText.contains("\"status\" : \"valid\""));
        assertTrue(chatModel.verifierPromptText.contains("连接池 active 达到上限"));
    }

    @Test
    void executeChatComplexRendersExecutorEvidenceV2InsteadOfRawJsonOnPass() throws Exception {
        ChatService chatService = createChatService();
        ScriptedChatModel chatModel = new ScriptedChatModel();
        chatModel.composerOutput = "not-json";
        chatModel.executorOutput = """
                {
                  "answer_version": "executor_evidence_v2",
                  "claims": [
                    {
                      "claim_id": "claim-1",
                      "claim_type": "symptom",
                      "claim_text": "连接池 active 达到上限",
                      "support_level": "direct",
                      "evidence_bindings": [
                        {
                          "source_type": "tool_trace",
                          "source_id": "trace-1",
                          "tool_name": "query_metrics",
                          "source_invocation_id": 101,
                          "raw_path": "$.alerts[0]",
                          "evidence_excerpt": "active=50 max=50"
                        }
                      ]
                    }
                  ],
                  "hypotheses": [
                    {
                      "hypothesis_text": "连接泄漏可能参与了连接池耗尽",
                      "basis": "已有连接池满载证据，但缺少泄漏检测日志",
                      "needed_evidence": ["连接泄漏检测日志"]
                    }
                  ],
                  "recommended_actions": [
                    {
                      "action_text": "补充查询连接池泄漏检测日志",
                      "reason": "用于确认是否存在连接未释放"
                    }
                  ],
                  "missing_info": ["缺少连接泄漏检测日志"]
                }
                """;

        ChatService.ChatResult result = chatService.executeChatComplex(
                chatModel,
                new ToolCallback[0],
                "请分析 MySQL 连接池耗尽",
                List.of(),
                "sequential-v2-render-session"
        );

        assertTrue(result.answer().contains("已确认信息"));
        assertTrue(result.answer().contains("连接池 active 达到上限"));
        assertTrue(result.answer().contains("建议下一步"));
        assertFalse(result.answer().contains("\"answer_version\""));
        assertFalse(result.answer().contains("executor_evidence_v2"));
    }

    @Test
    void executeChatComplexPersistsGatekeeperResultInVerifierEvaluation() throws Exception {
        ChatService chatService = createChatService();
        SelfEvaluationMergeService mergeService =
                (SelfEvaluationMergeService) ReflectionTestUtils.getField(chatService, "selfEvaluationMergeService");
        ToolInvocationRepository invocationRepository =
                (ToolInvocationRepository) ReflectionTestUtils.getField(chatService, "toolInvocationRepository");
        when(invocationRepository.findBySessionIdOrderByIdAsc("sequential-gatekeeper-persist-session"))
                .thenReturn(List.of(ToolInvocation.builder()
                        .id(101L)
                        .sessionId("sequential-gatekeeper-persist-session")
                        .toolName("query_metrics")
                        .retrievalDetails(evidenceRefs("$.alerts[0]", "active=50 max=50"))
                        .build()));
        ScriptedChatModel chatModel = new ScriptedChatModel();
        chatModel.executorOutput = """
                {
                  "answer_version": "executor_evidence_v2",
                  "claims": [
                    {
                      "claim_id": "claim-1",
                      "claim_type": "symptom",
                      "claim_text": "连接池 active 达到上限",
                      "support_level": "direct",
                      "evidence_bindings": [
                        {
                          "source_type": "tool_trace",
                          "source_id": "trace-1",
                          "tool_name": "query_metrics",
                          "source_invocation_id": 101,
                          "raw_path": "$.alerts[0]",
                          "evidence_excerpt": "active=50 max=50"
                        }
                      ]
                    }
                  ],
                  "hypotheses": [],
                  "recommended_actions": [],
                  "missing_info": []
                }
                """;

        chatService.executeChatComplex(
                chatModel,
                new ToolCallback[0],
                "请分析 MySQL 连接池耗尽",
                List.of(),
                "sequential-gatekeeper-persist-session"
        );

        ArgumentCaptor<Map<String, Object>> captor = ArgumentCaptor.forClass(Map.class);
        verify(mergeService).mergeVerifierEvaluation(isNull(), captor.capture());
        Map<String, Object> verifierEvaluation = captor.getValue();
        assertTrue(verifierEvaluation.containsKey("gatekeeper_result"));
        assertTrue(verifierEvaluation.containsKey("prompt_audit"));
        @SuppressWarnings("unchecked")
        Map<String, Object> gatekeeperResult = (Map<String, Object>) verifierEvaluation.get("gatekeeper_result");
        assertEquals("pass", gatekeeperResult.get("status"));
        assertEquals("none", gatekeeperResult.get("severity"));
        @SuppressWarnings("unchecked")
        Map<String, Object> promptAudit = (Map<String, Object>) verifierEvaluation.get("prompt_audit");
        assertEquals("chat-prompts-v1", promptAudit.get("version"));
        @SuppressWarnings("unchecked")
        List<Map<String, Object>> prompts = (List<Map<String, Object>>) promptAudit.get("prompts");
        assertEquals(4, prompts.size());
        assertTrue(prompts.stream().anyMatch(prompt ->
                "chat_executor".equals(prompt.get("name"))
                        && "chat-executor-v2".equals(prompt.get("version"))));
    }

    @Test
    void executeChatComplexMapsClaimChecksToFactsCheckedAndPersistsBoth() throws Exception {
        ChatService chatService = createChatService();
        SelfEvaluationMergeService mergeService =
                (SelfEvaluationMergeService) ReflectionTestUtils.getField(chatService, "selfEvaluationMergeService");
        ToolInvocationRepository invocationRepository =
                (ToolInvocationRepository) ReflectionTestUtils.getField(chatService, "toolInvocationRepository");
        when(invocationRepository.findBySessionIdOrderByIdAsc("sequential-claim-check-session"))
                .thenReturn(List.of(ToolInvocation.builder()
                        .id(101L)
                        .sessionId("sequential-claim-check-session")
                        .toolName("query_metrics")
                        .retrievalDetails(evidenceRefs("$.alerts[0]", "active=50 max=50"))
                        .build()));
        ScriptedChatModel chatModel = new ScriptedChatModel("""
                {
                  "verdict": "LOW_CONFID",
                  "groundedness_score": 0.32,
                  "critical_fact_count": 6,
                  "claim_checks": [
                    {"claim_id":"claim-1","claim_text":"CPU 使用率 92%","claim_type":"symptom","verification":"direct_observation","detail":"direct","evidence_refs":[{"trace_ref":"trace-1","tool_name":"query_metrics","source_invocation_ids":[101],"note":"cpu"}]},
                    {"claim_id":"claim-2","claim_text":"CPU 过高可能导致超时","claim_type":"risk","verification":"reasonable_inference","detail":"inference","evidence_refs":[]},
                    {"claim_id":"claim-3","claim_text":"CPU 是唯一根因","claim_type":"root_cause","verification":"overstated","detail":"too strong","evidence_refs":[]},
                    {"claim_id":"claim-4","claim_text":"缺少线程池证据","claim_type":"symptom","verification":"unsupported","detail":"missing","evidence_refs":[]},
                    {"claim_id":"claim-5","claim_text":"出现证据外错误码 ERR_FAKE","claim_type":"symptom","verification":"external_unknown","detail":"external","evidence_refs":[]},
                    {"claim_id":"claim-6","claim_text":"证据显示 CPU 很低","claim_type":"symptom","verification":"contradicted","detail":"conflict","evidence_refs":[]}
                  ],
                  "facts_checked": [],
                  "rationale": "claim checks drive compatibility"
                }
                """);
        chatModel.executorOutput = validExecutorV2Output();

        chatService.executeChatComplex(
                chatModel,
                new ToolCallback[0],
                "请分析 MySQL 连接池耗尽",
                List.of(),
                "sequential-claim-check-session"
        );

        ArgumentCaptor<Map<String, Object>> captor = ArgumentCaptor.forClass(Map.class);
        verify(mergeService).mergeVerifierEvaluation(isNull(), captor.capture());
        Map<String, Object> verifierEvaluation = captor.getValue();
        @SuppressWarnings("unchecked")
        List<Map<String, Object>> claimChecks = (List<Map<String, Object>>) verifierEvaluation.get("claim_checks");
        @SuppressWarnings("unchecked")
        List<Map<String, Object>> factsChecked = (List<Map<String, Object>>) verifierEvaluation.get("facts_checked");

        assertEquals(6, claimChecks.size());
        assertEquals(6, factsChecked.size());
        assertEquals("direct_evidence", factsChecked.get(0).get("verification"));
        assertEquals("indirect_support", factsChecked.get(1).get("verification"));
        assertEquals("indirect_support", factsChecked.get(2).get("verification"));
        assertEquals("no_evidence", factsChecked.get(3).get("verification"));
        assertEquals("no_evidence", factsChecked.get(4).get("verification"));
        assertEquals("contradicted", factsChecked.get(5).get("verification"));
        assertTrue(String.valueOf(factsChecked.get(0).get("fact")).startsWith("claim-1:"));
    }

    @Test
    void executeChatComplexDowngradesPassToRejectWhenGatekeeperInvocationRefFails() throws Exception {
        ChatService chatService = createChatService();
        SelfEvaluationMergeService mergeService =
                (SelfEvaluationMergeService) ReflectionTestUtils.getField(chatService, "selfEvaluationMergeService");
        ToolInvocationRepository invocationRepository =
                (ToolInvocationRepository) ReflectionTestUtils.getField(chatService, "toolInvocationRepository");
        when(invocationRepository.findBySessionIdOrderByIdAsc("sequential-gatekeeper-fail-session"))
                .thenReturn(List.of(ToolInvocation.builder()
                        .id(101L)
                        .sessionId("sequential-gatekeeper-fail-session")
                        .toolName("query_metrics")
                        .retrievalDetails(evidenceRefs("$.alerts[0]", "active=50 max=50"))
                        .build()));
        ScriptedChatModel chatModel = new ScriptedChatModel("""
                {
                  "verdict": "PASS",
                  "groundedness_score": 1.0,
                  "critical_fact_count": 1,
                  "claim_checks": [
                    {"claim_id":"claim-1","claim_text":"连接池 active 达到上限","claim_type":"symptom","verification":"direct_observation","detail":"direct","evidence_refs":[]}
                  ],
                  "facts_checked": [],
                  "rationale": "model tried pass"
                }
                """);
        chatModel.composerOutput = "not-json";
        chatModel.executorOutput = """
                {
                  "answer_version": "executor_evidence_v2",
                  "claims": [
                    {
                      "claim_id": "claim-1",
                      "claim_type": "symptom",
                      "claim_text": "连接池 active 达到上限",
                      "support_level": "direct",
                      "evidence_bindings": [
                        {
                          "source_type": "tool_trace",
                          "tool_name": "query_metrics",
                          "source_invocation_id": 999,
                          "raw_path": "$.alerts[0]",
                          "evidence_excerpt": "active=50 max=50"
                        }
                      ]
                    }
                  ],
                  "hypotheses": [],
                  "recommended_actions": [],
                  "missing_info": []
                }
                """;

        ChatService.ChatResult result = chatService.executeChatComplex(
                chatModel,
                new ToolCallback[0],
                "请分析 MySQL 连接池耗尽",
                List.of(),
                "sequential-gatekeeper-fail-session"
        );

        assertTrue(result.answer().startsWith("当前无法基于已获取证据生成可靠结论"));
        ArgumentCaptor<Map<String, Object>> captor = ArgumentCaptor.forClass(Map.class);
        verify(mergeService).mergeVerifierEvaluation(isNull(), captor.capture());
        assertEquals("REJECT", captor.getValue().get("verdict"));
    }

    @Test
    void executeChatComplexDowngradesPassToLowConfidenceWhenExecutorOutputMalformed() throws Exception {
        ChatService chatService = createChatService();
        SelfEvaluationMergeService mergeService =
                (SelfEvaluationMergeService) ReflectionTestUtils.getField(chatService, "selfEvaluationMergeService");
        ScriptedChatModel chatModel = new ScriptedChatModel("""
                {
                  "verdict": "PASS",
                  "groundedness_score": 1.0,
                  "critical_fact_count": 0,
                  "claim_checks": [],
                  "facts_checked": [],
                  "rationale": "model tried pass"
                }
                """);
        chatModel.composerOutput = "not-json";
        chatModel.executorOutput = "{ not-json";

        ChatService.ChatResult result = chatService.executeChatComplex(
                chatModel,
                new ToolCallback[0],
                "请分析 MySQL 连接池耗尽",
                List.of(),
                "sequential-malformed-pass-session"
        );

        assertTrue(result.answer().startsWith("以下结论基于当前已获取证据"));
        ArgumentCaptor<Map<String, Object>> captor = ArgumentCaptor.forClass(Map.class);
        verify(mergeService).mergeVerifierEvaluation(isNull(), captor.capture());
        assertEquals("LOW_CONFID", captor.getValue().get("verdict"));
    }

    @Test
    void buildMethodToolsArrayIncludesLogsAndMetricsWhenAvailable() {
        ChatService chatService = new ChatService();
        DateTimeTools dateTimeTools = new DateTimeTools();
        LookupKnowledgeTool lookupKnowledgeTool = new LookupKnowledgeTool();
        QueryLogsTools queryLogsTools = new QueryLogsTools(mock(ToolInvocationRecorder.class));
        QueryMetricsTools queryMetricsTools = new QueryMetricsTools(mock(ToolInvocationRecorder.class));

        ReflectionTestUtils.setField(chatService, "dateTimeTools", dateTimeTools);
        ReflectionTestUtils.setField(chatService, "lookupKnowledgeTool", lookupKnowledgeTool);
        ReflectionTestUtils.setField(chatService, "queryLogsTools", queryLogsTools);
        ReflectionTestUtils.setField(chatService, "queryMetricsTools", queryMetricsTools);

        Object[] methodTools = chatService.buildMethodToolsArray();

        assertEquals(4, methodTools.length);
        assertSame(dateTimeTools, methodTools[0]);
        assertSame(lookupKnowledgeTool, methodTools[1]);
        assertSame(queryLogsTools, methodTools[2]);
        assertSame(queryMetricsTools, methodTools[3]);
    }

    @Test
    void createReactAgentInjectsSkillCatalogThroughAlibabaHook() throws Exception {
        ChatService chatService = createChatService();
        ScriptedChatModel chatModel = new ScriptedChatModel();
        SkillRegistry skillRegistry = ClasspathSkillRegistry.builder()
                .classpathPath("skills")
                .basePath("target/test-skills-cache")
                .build();
        ReflectionTestUtils.setField(chatService, "skillRegistry", skillRegistry);

        ReactAgent agent = chatService.createReactAgent(chatModel, "BASE_TEST_PROMPT");
        agent.call("diagnose mysql connection pool exhaustion");

        assertTrue(chatModel.promptText.contains("BASE_TEST_PROMPT"));
        assertTrue(chatModel.promptText.contains("## Skills System"));
        assertTrue(chatModel.promptText.contains("diagnose-mysql-connection-pool"));
        assertTrue(chatModel.promptText.contains("read_skill"));
    }

    @Test
    void plannerGetsSkillMetadataAndExecutorGetsReadSkillTool() throws Exception {
        ChatService chatService = createChatService();
        ScriptedChatModel chatModel = new ScriptedChatModel();
        SkillRegistry skillRegistry = ClasspathSkillRegistry.builder()
                .classpathPath("skills")
                .basePath("target/test-skills-cache")
                .build();
        ReflectionTestUtils.setField(chatService, "skillRegistry", skillRegistry);

        chatService.executeChatComplex(
                chatModel,
                new ToolCallback[0],
                "diagnose mysql connection pool exhaustion",
                List.of(),
                "planner-skill-metadata-session"
        );

        assertTrue(chatModel.plannerPromptText.contains("\"skill_catalog\""));
        assertTrue(chatModel.plannerPromptText.contains("diagnose-mysql-connection-pool"));
        assertTrue(chatModel.plannerPromptText.contains("\"selected_skill\""));
        assertFalse(chatModel.plannerPromptText.contains("## Skills System"));
        assertFalse(chatModel.plannerPromptText.contains("read_skill"));

        assertTrue(chatModel.executorPromptText.contains("## Skills System"));
        assertTrue(chatModel.executorPromptText.contains("diagnose-mysql-connection-pool"));
        assertTrue(chatModel.executorPromptText.contains("read_skill"));
        assertTrue(chatModel.executorPromptText.contains("只允许对该 skill 调用一次 read_skill"));
        assertFalse(chatModel.verifierPromptText.contains("diagnose-mysql-connection-pool"));
        assertFalse(chatModel.verifierPromptText.contains("read_skill"));
    }

    private ChatService createChatService() {
        ChatService chatService = new ChatService();

        DiagnosisSessionRepository diagnosisSessionRepository = mock(DiagnosisSessionRepository.class);
        when(diagnosisSessionRepository.findBySessionId(anyString())).thenReturn(Optional.empty());
        when(diagnosisSessionRepository.save(any(DiagnosisSession.class))).thenAnswer(invocation -> invocation.getArgument(0));

        AtomicInteger stepId = new AtomicInteger(1);
        AgentStepRepository agentStepRepository = mock(AgentStepRepository.class);
        when(agentStepRepository.save(any(AgentStep.class))).thenAnswer(invocation -> {
            AgentStep step = invocation.getArgument(0);
            if (step.getId() == null) {
                step.setId((long) stepId.getAndIncrement());
            }
            return step;
        });
        when(agentStepRepository.findById(any())).thenReturn(Optional.of(new AgentStep()));
        when(agentStepRepository.findBySessionIdOrderByStepIndex(anyString())).thenReturn(List.of());
        ToolInvocationRepository toolInvocationRepository = mock(ToolInvocationRepository.class);
        when(toolInvocationRepository.countBySessionId(anyString())).thenReturn(0L);
        when(toolInvocationRepository.findBySessionIdOrderByIdAsc(anyString())).thenReturn(List.of(ToolInvocation.builder()
                .id(101L)
                .toolName("query_metrics")
                .retrievalDetails(evidenceRefs("$.alerts[0]", "active=50 max=50"))
                .build()));

        EvaluationService evaluationService = mock(EvaluationService.class);
        RetrievedDocTracker retrievedDocTracker = mock(RetrievedDocTracker.class);
        KnowledgeDomainService knowledgeDomainService = mock(KnowledgeDomainService.class);
        when(knowledgeDomainService.buildKnowledgeMap()).thenReturn("");
        ToolTraceSummaryService toolTraceSummaryService = mock(ToolTraceSummaryService.class);
        when(toolTraceSummaryService.buildVerifierTraceSummary(anyString(), anyString())).thenReturn(List.of());
        SelfEvaluationMergeService selfEvaluationMergeService = mock(SelfEvaluationMergeService.class);
        when(selfEvaluationMergeService.mergeVerifierEvaluation(any(), any())).thenReturn("{}");
        ExecutorGatekeeperService executorGatekeeperService = new ExecutorGatekeeperService(toolInvocationRepository);

        ReflectionTestUtils.setField(chatService, "dateTimeTools", new DateTimeTools());
        ReflectionTestUtils.setField(chatService, "lookupKnowledgeTool", new LookupKnowledgeTool());
        ReflectionTestUtils.setField(chatService, "queryLogsTools", new QueryLogsTools(mock(ToolInvocationRecorder.class)));
        ReflectionTestUtils.setField(chatService, "diagnosisSessionRepository", diagnosisSessionRepository);
        ReflectionTestUtils.setField(chatService, "agentStepRepository", agentStepRepository);
        ReflectionTestUtils.setField(chatService, "toolInvocationRepository", toolInvocationRepository);
        ReflectionTestUtils.setField(chatService, "evaluationService", evaluationService);
        ReflectionTestUtils.setField(chatService, "retrievedDocTracker", retrievedDocTracker);
        ReflectionTestUtils.setField(chatService, "knowledgeDomainService", knowledgeDomainService);
        ReflectionTestUtils.setField(chatService, "toolTraceSummaryService", toolTraceSummaryService);
        ReflectionTestUtils.setField(chatService, "selfEvaluationMergeService", selfEvaluationMergeService);
        ReflectionTestUtils.setField(chatService, "executorGatekeeperService", executorGatekeeperService);
        ReflectionTestUtils.setField(chatService, "verifierLowConfidenceThreshold", 0.5d);
        ReflectionTestUtils.setField(chatService, "chatPlannerPrompt", "PLANNER_TEST_PROMPT");
        ReflectionTestUtils.setField(chatService, "chatExecutorPrompt", "EXECUTOR_TEST_PROMPT");
        ReflectionTestUtils.setField(chatService, "chatVerifierPrompt", "VERIFIER_TEST_PROMPT");
        ReflectionTestUtils.setField(chatService, "chatComposerPrompt", "COMPOSER_TEST_PROMPT");
        return chatService;
    }

    private String validExecutorV2Output() {
        return """
                {
                  "answer_version": "executor_evidence_v2",
                  "claims": [
                    {
                      "claim_id": "claim-1",
                      "claim_type": "symptom",
                      "claim_text": "连接池 active 达到上限",
                      "support_level": "direct",
                      "evidence_bindings": [
                        {
                          "source_type": "tool_trace",
                          "source_id": "trace-1",
                          "tool_name": "query_metrics",
                          "source_invocation_id": 101,
                          "raw_path": "$.alerts[0]",
                          "evidence_excerpt": "active=50 max=50"
                        }
                      ]
                    }
                  ],
                  "hypotheses": [],
                  "recommended_actions": [],
                  "missing_info": []
                }
                """;
    }

    private String evidenceRefs(String rawPath, String text) {
        return "{\"evidence_refs\":[{\"raw_path\":\"" + rawPath + "\",\"text\":\"" + text + "\"}]}";
    }

    private static final class ScriptedChatModel implements ChatModel {
        private final java.util.ArrayList<String> agentCalls = new java.util.ArrayList<>();
        private String promptText = "";
        private String plannerPromptText = "";
        private String executorPromptText = "";
        private String verifierPromptText = "";
        private String composerPromptText = "";
        private String executorOutput = """
                {
                  "answer_version": "executor_evidence_v2",
                  "claims": [
                    {
                      "claim_id": "claim-1",
                      "claim_type": "symptom",
                      "claim_text": "连接池 active 达到上限",
                      "support_level": "direct",
                      "evidence_bindings": [
                        {
                          "source_type": "tool_trace",
                          "source_id": "trace-1",
                          "tool_name": "query_metrics",
                          "source_invocation_id": 101,
                          "raw_path": "$.alerts[0]",
                          "evidence_excerpt": "active=50 max=50"
                        }
                      ]
                    }
                  ],
                  "hypotheses": [],
                  "recommended_actions": [],
                  "missing_info": []
                }
                """;
        private String composerOutput = """
                {
                  "answer_summary": "已确认连接池 active 达到上限。",
                  "recommended_actions": [
                    {
                      "action_text": "补充查询连接池泄漏检测日志",
                      "reason": "用于确认是否存在连接未释放"
                    }
                  ],
                  "user_facing_answer": "已确认连接池 active 达到上限。建议补充查询连接池泄漏检测日志。"
                }
                """;
        private boolean sawVerifierPrompt;
        private final java.util.List<String> verifierOutputs;
        private int verifierOutputIndex;

        private ScriptedChatModel() {
            this("""
                    {
                      "verdict": "PASS",
                      "groundedness_score": 1.0,
                      "critical_fact_count": 1,
                      "claim_checks": [
                        {"claim_id":"claim-1","claim_text":"连接池 active 达到上限","claim_type":"symptom","verification":"direct_observation","detail":"covered by scripted verifier","evidence_refs":[]}
                      ],
                      "facts_checked": [],
                      "rationale": "scripted pass"
                    }
                    """);
        }

        private ScriptedChatModel(String verifierOutput) {
            this.verifierOutputs = java.util.List.of(verifierOutput);
        }

        private ScriptedChatModel(String... verifierOutputs) {
            this.verifierOutputs = java.util.List.of(verifierOutputs);
        }

        @Override
        public ChatResponse call(Prompt prompt) {
            promptText = prompt.getContents();
            String text;
            if (promptText.contains("PLANNER_TEST_PROMPT")) {
                agentCalls.add("chat_planner");
                plannerPromptText = promptText;
                text = "PLANNER_PLAN";
            } else if (promptText.contains("EXECUTOR_TEST_PROMPT")) {
                agentCalls.add("chat_executor");
                executorPromptText = promptText;
                text = executorOutput;
            } else if (promptText.contains("VERIFIER_TEST_PROMPT")) {
                agentCalls.add("chat_verifier");
                verifierPromptText = promptText;
                sawVerifierPrompt = true;
                int index = Math.min(verifierOutputIndex, verifierOutputs.size() - 1);
                text = verifierOutputs.get(index);
                verifierOutputIndex++;
            } else if (promptText.contains("COMPOSER_TEST_PROMPT")) {
                agentCalls.add("chat_composer");
                composerPromptText = promptText;
                text = composerOutput;
            } else {
                text = "UNEXPECTED_PROMPT";
            }
            return new ChatResponse(List.of(new Generation(new AssistantMessage(text))));
        }
    }
}