package multiagent

import (
	"context"
	"fmt"
	"os"
	"path/filepath"
	"strings"

	"cyberstrike-ai/internal/agent"
	"cyberstrike-ai/internal/config"

	"github.com/bytedance/sonic"
	"github.com/cloudwego/eino/adk"
	"github.com/cloudwego/eino/adk/middlewares/summarization"
	"github.com/cloudwego/eino/components/model"
	"github.com/cloudwego/eino/schema"
	"go.uber.org/zap"
)

// einoSummarizeUserInstruction 与单 Agent MemoryCompressor 目标一致：压缩时保留渗透关键信息。
const einoSummarizeUserInstruction = `在保持所有关键安全测试信息完整的前提下压缩对话历史。

必须保留：已确认漏洞与攻击路径、工具输出中的核心发现、凭证与认证细节、架构与薄弱点、当前进度、失败尝试与死路、策略决策。
保留精确技术细节（URL、路径、参数、Payload、版本号、报错原文可摘要但要点不丢）。
将冗长扫描输出概括为结论；重复发现合并表述。
已枚举资产须保留**可继承的摘要**：主域、关键子域/主机短表（或数量+代表样例）、高价值目标与已识别服务/端口要点，避免后续子代理因「看不见清单」而重复全量枚举。

输出须使后续代理能无缝继续同一授权测试任务。`

// newEinoSummarizationMiddleware 使用 Eino ADK Summarization 中间件（见 https://www.cloudwego.io/zh/docs/eino/core_modules/eino_adk/eino_adk_chatmodelagentmiddleware/middleware_summarization/）。
// 触发阈值与单 Agent MemoryCompressor 一致：当估算 token 超过 openai.max_total_tokens 的 90% 时摘要。
func newEinoSummarizationMiddleware(
	ctx context.Context,
	summaryModel model.BaseChatModel,
	appCfg *config.Config,
	mwCfg *config.MultiAgentEinoMiddlewareConfig,
	conversationID string,
	logger *zap.Logger,
) (adk.ChatModelAgentMiddleware, error) {
	if summaryModel == nil || appCfg == nil {
		return nil, fmt.Errorf("multiagent: summarization 需要 model 与配置")
	}
	maxTotal := appCfg.OpenAI.MaxTotalTokens
	if maxTotal <= 0 {
		maxTotal = 120000
	}
	triggerRatio := 0.8
	emitInternalEvents := true
	if mwCfg != nil {
		triggerRatio = mwCfg.SummarizationTriggerRatioEffective()
		emitInternalEvents = mwCfg.SummarizationEmitInternalEventsEffective()
	}
	// Keep enough safety margin for tokenizer/model-side accounting mismatch.
	trigger := int(float64(maxTotal) * triggerRatio)
	if trigger < 4096 {
		trigger = maxTotal
		if trigger < 4096 {
			trigger = 4096
		}
	}
	preserveMax := trigger / 3
	if preserveMax < 2048 {
		preserveMax = 2048
	}

	modelName := strings.TrimSpace(appCfg.OpenAI.Model)
	if modelName == "" {
		modelName = "gpt-4o"
	}
	tokenCounter := einoSummarizationTokenCounter(modelName)
	recentTrailMax := trigger / 4
	if recentTrailMax < 2048 {
		recentTrailMax = 2048
	}
	if recentTrailMax > trigger/2 {
		recentTrailMax = trigger / 2
	}
	transcriptPath := ""
	if conv := strings.TrimSpace(conversationID); conv != "" {
		baseRoot := filepath.Join(os.TempDir(), "cyberstrike-summarization")
		if dbPath := strings.TrimSpace(appCfg.Database.Path); dbPath != "" {
			// Persist with the same lifecycle as local conversation storage.
			baseRoot = filepath.Join(filepath.Dir(dbPath), "conversation_artifacts", sanitizeEinoPathSegment(conv), "summarization")
		}
		base := baseRoot
		if mkErr := os.MkdirAll(base, 0o755); mkErr == nil {
			transcriptPath = filepath.Join(base, "transcript.txt")
		}
	}

	mw, err := summarization.New(ctx, &summarization.Config{
		Model: summaryModel,
		Trigger: &summarization.TriggerCondition{
			ContextTokens: trigger,
		},
		TokenCounter:       tokenCounter,
		UserInstruction:    einoSummarizeUserInstruction,
		EmitInternalEvents: emitInternalEvents,
		TranscriptFilePath: transcriptPath,
		PreserveUserMessages: &summarization.PreserveUserMessages{
			Enabled:   true,
			MaxTokens: preserveMax,
		},
		Finalize: func(ctx context.Context, originalMessages []adk.Message, summary adk.Message) ([]adk.Message, error) {
			return summarizeFinalizeWithRecentAssistantToolTrail(ctx, originalMessages, summary, tokenCounter, recentTrailMax)
		},
		Callback: func(ctx context.Context, before, after adk.ChatModelAgentState) error {
			if logger == nil {
				return nil
			}
			beforeTokens, _ := tokenCounter(ctx, &summarization.TokenCounterInput{Messages: before.Messages})
			afterTokens, _ := tokenCounter(ctx, &summarization.TokenCounterInput{Messages: after.Messages})
			logger.Info("eino summarization 已压缩上下文",
				zap.Int("messages_before", len(before.Messages)),
				zap.Int("messages_after", len(after.Messages)),
				zap.Int("tokens_before_estimated", beforeTokens),
				zap.Int("tokens_after_estimated", afterTokens),
				zap.Int("max_total_tokens", maxTotal),
				zap.Int("trigger_context_tokens", trigger),
				zap.String("transcript_file", transcriptPath),
			)
			return nil
		},
	})
	if err != nil {
		return nil, fmt.Errorf("summarization.New: %w", err)
	}
	return mw, nil
}

// summarizeFinalizeWithRecentAssistantToolTrail 在摘要消息后保留最近 assistant/tool 轨迹，避免压缩后执行链断裂。
//
// 关键不变量：tool_call ↔ tool_result 的 pair 必须整体保留或整体丢弃。
// 把消息切成 round（回合）为原子单位：
//   - user(...) 单条为一个 round；
//   - assistant(tool_calls=[...]) 及其后连续的 role=tool 消息合成一个 round；
//   - 其它 assistant(reply, 无 tool_calls) 单条为一个 round。
//
// 倒序挑 round（预算不够即放弃该 round），保证 tool 消息不会跨 round 被孤立。
func summarizeFinalizeWithRecentAssistantToolTrail(
	ctx context.Context,
	originalMessages []adk.Message,
	summary adk.Message,
	tokenCounter summarization.TokenCounterFunc,
	recentTrailTokenBudget int,
) ([]adk.Message, error) {
	systemMsgs := make([]adk.Message, 0, len(originalMessages))
	nonSystem := make([]adk.Message, 0, len(originalMessages))
	for _, msg := range originalMessages {
		if msg == nil {
			continue
		}
		if msg.Role == schema.System {
			systemMsgs = append(systemMsgs, msg)
			continue
		}
		nonSystem = append(nonSystem, msg)
	}

	if recentTrailTokenBudget <= 0 || len(nonSystem) == 0 {
		out := make([]adk.Message, 0, len(systemMsgs)+1)
		out = append(out, systemMsgs...)
		out = append(out, summary)
		return out, nil
	}

	rounds := splitMessagesIntoRounds(nonSystem)
	if len(rounds) == 0 {
		out := make([]adk.Message, 0, len(systemMsgs)+1)
		out = append(out, systemMsgs...)
		out = append(out, summary)
		return out, nil
	}

	// 目标：至少保留 minRounds 个 round 的执行轨迹；在预算允许时尽量多保留。
	// 优先确保最后一个 round（通常是最新的 tool 往返或 assistant 回复）存在。
	const minRounds = 2

	selectedRoundsReverse := make([]messageRound, 0, 8)
	selectedCount := 0
	totalTokens := 0

	tokensOfRound := func(r messageRound) (int, error) {
		if len(r.messages) == 0 {
			return 0, nil
		}
		n, err := tokenCounter(ctx, &summarization.TokenCounterInput{Messages: r.messages})
		if err != nil {
			return 0, err
		}
		if n <= 0 {
			n = len(r.messages)
		}
		return n, nil
	}

	for i := len(rounds) - 1; i >= 0; i-- {
		r := rounds[i]
		n, err := tokensOfRound(r)
		if err != nil {
			return nil, err
		}
		// 预算不够：已经保留了足够 round 则停，否则跳过该 round 继续往前找
		// （避免一个超大 round 挤占全部预算，至少保证有轨迹）。
		if totalTokens+n > recentTrailTokenBudget {
			if selectedCount >= minRounds {
				break
			}
			continue
		}
		totalTokens += n
		selectedRoundsReverse = append(selectedRoundsReverse, r)
		selectedCount++
	}

	// 还原时间顺序。round 内为原始 *schema.Message 指针，保留 ReasoningContent（DeepSeek 工具续跑所必需）。
	selectedMsgs := make([]adk.Message, 0, 8)
	for i := len(selectedRoundsReverse) - 1; i >= 0; i-- {
		selectedMsgs = append(selectedMsgs, selectedRoundsReverse[i].messages...)
	}

	out := make([]adk.Message, 0, len(systemMsgs)+1+len(selectedMsgs))
	out = append(out, systemMsgs...)
	out = append(out, summary)
	out = append(out, selectedMsgs...)
	return out, nil
}

// messageRound 表示一个"不可分割"的消息回合。
//   - 对 assistant(tool_calls) + 随后若干 tool 消息的组合，round 内全部 call_id 成对完整；
//   - 对独立的 user / assistant(reply) 消息，round 仅包含该条消息。
type messageRound struct {
	messages []adk.Message
}

// splitMessagesIntoRounds 将非 system 消息切分为若干 round，保证：
//   - 每个 assistant(tool_calls) 与其对应的 role=tool 响应消息在同一个 round；
//   - 孤立（无对应 assistant(tool_calls)）的 role=tool 消息不会单独成为 round，
//     而是被丢弃（这些消息在 pair 完整性层面已属孤儿，保留反而会触发 LLM 400）。
func splitMessagesIntoRounds(msgs []adk.Message) []messageRound {
	if len(msgs) == 0 {
		return nil
	}
	rounds := make([]messageRound, 0, len(msgs))
	i := 0
	for i < len(msgs) {
		msg := msgs[i]
		if msg == nil {
			i++
			continue
		}
		switch {
		case msg.Role == schema.Assistant && len(msg.ToolCalls) > 0:
			// 收集该 assistant 提供的 call_id 集合。
			provided := make(map[string]struct{}, len(msg.ToolCalls))
			for _, tc := range msg.ToolCalls {
				if tc.ID != "" {
					provided[tc.ID] = struct{}{}
				}
			}
			round := messageRound{messages: []adk.Message{msg}}
			j := i + 1
			for j < len(msgs) {
				next := msgs[j]
				if next == nil {
					j++
					continue
				}
				if next.Role != schema.Tool {
					break
				}
				if next.ToolCallID != "" {
					if _, ok := provided[next.ToolCallID]; !ok {
						// 下一条 tool 不属于当前 assistant，认为当前 round 结束。
						break
					}
				}
				round.messages = append(round.messages, next)
				j++
			}
			rounds = append(rounds, round)
			i = j
		case msg.Role == schema.Tool:
			// 孤儿 tool 消息：既不跟随在一个 assistant(tool_calls) 后，
			// 说明它对应的 assistant 已被上游裁剪；直接丢弃，下一步到 orphan pruner
			// 兜底也不会出错，但在 round 切分这里就剔除更干净。
			i++
		default:
			// user / assistant(reply) / 其它：单条成 round。
			rounds = append(rounds, messageRound{messages: []adk.Message{msg}})
			i++
		}
	}
	return rounds
}

func einoSummarizationTokenCounter(openAIModel string) summarization.TokenCounterFunc {
	tc := agent.NewTikTokenCounter()
	return func(ctx context.Context, input *summarization.TokenCounterInput) (int, error) {
		var sb strings.Builder
		for _, msg := range input.Messages {
			if msg == nil {
				continue
			}
			sb.WriteString(string(msg.Role))
			sb.WriteByte('\n')
			if msg.Content != "" {
				sb.WriteString(msg.Content)
				sb.WriteByte('\n')
			}
			if msg.ReasoningContent != "" {
				sb.WriteString(msg.ReasoningContent)
				sb.WriteByte('\n')
			}
			if len(msg.ToolCalls) > 0 {
				if b, err := sonic.Marshal(msg.ToolCalls); err == nil {
					sb.Write(b)
					sb.WriteByte('\n')
				}
			}
			for _, part := range msg.UserInputMultiContent {
				if part.Type == schema.ChatMessagePartTypeText && part.Text != "" {
					sb.WriteString(part.Text)
					sb.WriteByte('\n')
				}
			}
		}
		for _, tl := range input.Tools {
			if tl == nil {
				continue
			}
			cp := *tl
			cp.Extra = nil
			if text, err := sonic.MarshalString(cp); err == nil {
				sb.WriteString(text)
				sb.WriteByte('\n')
			}
		}
		text := sb.String()
		n, err := tc.Count(openAIModel, text)
		if err != nil {
			return (len(text) + 3) / 4, nil
		}
		return n, nil
	}
}