package com.superbiz.agent.service;

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.repository.AgentStepRepository;
import com.superbiz.agent.repository.DiagnosisSessionRepository;
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 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.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.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"
        );

        assertEquals("EXECUTOR_FINAL_ANSWER", result.answer());
        assertEquals("sequential-test-session", result.sessionId());
        assertEquals(List.of("chat_planner", "chat_executor", "chat_verifier"), 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"
                }
                """);

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

    @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"
        );

        assertEquals("EXECUTOR_FINAL_ANSWER", result.answer());
        assertEquals(List.of("chat_planner", "chat_executor", "chat_verifier"), chatModel.agentCalls);
        assertTrue(chatModel.sawVerifierPrompt);
    }

    @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]);
    }

    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());

        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("{}");

        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, "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, "verifierLowConfidenceThreshold", 0.5d);
        ReflectionTestUtils.setField(chatService, "chatPlannerPrompt", "PLANNER_TEST_PROMPT");
        ReflectionTestUtils.setField(chatService, "chatExecutorPrompt", "EXECUTOR_TEST_PROMPT");
        ReflectionTestUtils.setField(chatService, "chatVerifierPrompt", "VERIFIER_TEST_PROMPT");
        return chatService;
    }

    private static final class ScriptedChatModel implements ChatModel {
        private final java.util.ArrayList<String> agentCalls = new java.util.ArrayList<>();
        private String promptText = "";
        private boolean sawVerifierPrompt;
        private final String verifierOutput;

        private ScriptedChatModel() {
            this("""
                    {
                      "verdict": "PASS",
                      "groundedness_score": 1.0,
                      "critical_fact_count": 1,
                      "facts_checked": [
                        {
                          "fact": "executor answer generated",
                          "is_critical": true,
                          "verification": "direct_evidence",
                          "detail": "covered by scripted verifier",
                          "evidence_refs": []
                        }
                      ],
                      "rationale": "scripted pass"
                    }
                    """);
        }

        private ScriptedChatModel(String verifierOutput) {
            this.verifierOutput = verifierOutput;
        }

        @Override
        public ChatResponse call(Prompt prompt) {
            promptText = prompt.getContents();
            String text;
            if (promptText.contains("PLANNER_TEST_PROMPT")) {
                agentCalls.add("chat_planner");
                text = "PLANNER_PLAN";
            } else if (promptText.contains("EXECUTOR_TEST_PROMPT")) {
                agentCalls.add("chat_executor");
                text = "EXECUTOR_FINAL_ANSWER";
            } else if (promptText.contains("VERIFIER_TEST_PROMPT")) {
                agentCalls.add("chat_verifier");
                sawVerifierPrompt = true;
                text = verifierOutput;
            } else {
                text = "UNEXPECTED_PROMPT";
            }
            return new ChatResponse(List.of(new Generation(new AssistantMessage(text))));
        }
    }
}