// Story Summary - Prompt Injection
// 注入格式：世界状态 → 亲身经历(含闪回) → 相关背景(含闪回) → 记忆碎片 → 人物弧光

import { getContext } from "../../../../../../extensions.js";
import {
    extension_prompts,
    extension_prompt_types,
    extension_prompt_roles,
} from "../../../../../../../script.js";
import { xbLog } from "../../../core/debug-core.js";
import { getSummaryStore } from "../data/store.js";
import { getVectorConfig, getSummaryPanelConfig, getSettings } from "../data/config.js";
import { recallMemory, buildQueryText } from "../vector/recall.js";
import { getChunksByFloors, getAllChunkVectors, getAllEventVectors } from "../vector/chunk-store.js";

const MODULE_ID = "summaryPrompt";
const SUMMARY_PROMPT_KEY = "LittleWhiteBox_StorySummary";

// 预算：只保留主预算与 L3 上限，其它由装配算法决定
const BUDGET = { total: 10000, l3Max: 2000 };

// 你确认的参数
const TARGET_UTILIZATION = 0.8;
const TOP_RELEVANCE_COUNT = 5;

// ─────────────────────────────────────────────────────────────────────────────
// Injection log
// ─────────────────────────────────────────────────────────────────────────────

function pct(n, d) {
    return d > 0 ? Math.round((n / d) * 100) : 0;
}

function formatInjectionLog(stats) {
    const lines = [
        "",
        "╔══════════════════════════════════════════════════════════════╗",
        "║                    Prompt Injection Report                   ║",
        "╠══════════════════════════════════════════════════════════════╣",
        `║  Token budget: ${stats.budget.max}`,
        "╚══════════════════════════════════════════════════════════════╝",
        "",
    ];

    lines.push("┌─────────────────────────────────────────────────────────────┐");
    lines.push("│ [Packing] Budget-aware assembly                              │");
    lines.push("└─────────────────────────────────────────────────────────────┘");
    if (stats.packing) {
        lines.push(
            `  Target utilization: ${(stats.packing.targetUtilization * 100).toFixed(0)}%`
        );
        lines.push(
            `  L2 budget: ${stats.packing.l2Used} / ${stats.packing.l2Max} (${pct(stats.packing.l2Used, stats.packing.l2Max)}%)`
        );
        lines.push(
            `  Selected events: ${stats.packing.selectedEvents} (DIRECT: ${stats.packing.selectedDirect}, SIMILAR: ${stats.packing.selectedSimilar})`
        );
        lines.push(
            `  Evidence levels: E3=${stats.packing.e3} | E2=${stats.packing.e2} | E1=${stats.packing.e1} | E0=${stats.packing.e0}`
        );
        lines.push(`  Evidence chunks (total): ${stats.packing.evidenceChunks}`);
    } else {
        lines.push("  (no packing stats)");
    }
    lines.push("");

    lines.push("┌─────────────────────────────────────────────────────────────┐");
    lines.push("│ [World] L3                                                   │");
    lines.push("└─────────────────────────────────────────────────────────────┘");
    lines.push(`  Injected: ${stats.world.count} | Tokens: ${stats.world.tokens}`);
    lines.push("");

    lines.push("┌─────────────────────────────────────────────────────────────┐");
    lines.push("│ [Direct]                                                     │");
    lines.push("└─────────────────────────────────────────────────────────────┘");
    lines.push(
        `  Events: ${stats.direct.recalled} -> ${stats.direct.injected}${stats.direct.recalled > stats.direct.injected ? ` (budget cut ${stats.direct.recalled - stats.direct.injected})` : ""}`
    );
    lines.push(`  Causal: ${stats.direct.causalCount}`);
    lines.push(`  L1 chunks: ${stats.direct.chunksCount}`);
    lines.push(`  Tokens: ${stats.direct.tokens}`);
    lines.push("");

    lines.push("┌─────────────────────────────────────────────────────────────┐");
    lines.push("│ [Similar]                                                    │");
    lines.push("└─────────────────────────────────────────────────────────────┘");
    lines.push(
        `  Events: ${stats.similar.recalled} -> ${stats.similar.injected}${stats.similar.recalled > stats.similar.injected ? ` (budget cut ${stats.similar.recalled - stats.similar.injected})` : ""}`
    );
    lines.push(`  Causal: ${stats.similar.causalCount}`);
    lines.push(`  L1 chunks: ${stats.similar.chunksCount}`);
    lines.push(`  Tokens: ${stats.similar.tokens}`);
    lines.push("");

    lines.push("┌─────────────────────────────────────────────────────────────┐");
    lines.push("│ [Orphans]                                                    │");
    lines.push("└─────────────────────────────────────────────────────────────┘");
    lines.push(
        `  Chunks: ${stats.orphans.recalled} -> ${stats.orphans.injected}${stats.orphans.recalled > stats.orphans.injected ? ` (budget cut ${stats.orphans.recalled - stats.orphans.injected})` : ""}`
    );
    lines.push(`  Tokens: ${stats.orphans.tokens}`);
    lines.push("");

    lines.push("┌─────────────────────────────────────────────────────────────┐");
    lines.push("│ [Arcs]                                                       │");
    lines.push("└─────────────────────────────────────────────────────────────┘");
    lines.push(`  Injected: ${stats.arcs.count} | Tokens: ${stats.arcs.tokens}`);
    lines.push("");

    lines.push("┌─────────────────────────────────────────────────────────────┐");
    lines.push("│ [Total]                                                      │");
    lines.push("└─────────────────────────────────────────────────────────────┘");
    lines.push(
        `  Tokens: ${stats.budget.used} / ${stats.budget.max} (${Math.round((stats.budget.used / stats.budget.max) * 100)}%)`
    );
    lines.push("");

    return lines.join("\n");
}

// ─────────────────────────────────────────────────────────────────────────────
// 向量工具
// ─────────────────────────────────────────────────────────────────────────────

function cosineSimilarity(a, b) {
    if (!a?.length || !b?.length || a.length !== b.length) return 0;
    let dot = 0,
        nA = 0,
        nB = 0;
    for (let i = 0; i < a.length; i++) {
        dot += a[i] * b[i];
        nA += a[i] * a[i];
        nB += b[i] * b[i];
    }
    return nA && nB ? dot / (Math.sqrt(nA) * Math.sqrt(nB)) : 0;
}

// ─────────────────────────────────────────────────────────────────────────────
// 工具函数
// ─────────────────────────────────────────────────────────────────────────────

function estimateTokens(text) {
    if (!text) return 0;
    const s = String(text);
    const zh = (s.match(/[\u4e00-\u9fff]/g) || []).length;
    return Math.ceil(zh + (s.length - zh) / 4);
}

function clamp(n, min, max) {
    return Math.max(min, Math.min(max, n));
}

function pushWithBudget(lines, text, state) {
    const t = estimateTokens(text);
    if (state.used + t > state.max) return false;
    lines.push(text);
    state.used += t;
    return true;
}

// 从 summary 解析楼层范围：(#321-322) 或 (#321)
function parseFloorRange(summary) {
    if (!summary) return null;
    const match = String(summary).match(/\(#(\d+)(?:-(\d+))?\)/);
    if (!match) return null;

    // summary 里写的是 #楼层（1-based），chunks 里 floor 是消息下标（0-based）
    const start = Math.max(0, parseInt(match[1], 10) - 1);
    const end = Math.max(
        0,
        (match[2] ? parseInt(match[2], 10) : parseInt(match[1], 10)) - 1
    );

    return { start, end };
}

// 去掉 summary 末尾的楼层标记
function cleanSummary(summary) {
    return String(summary || "")
        .replace(/\s*\(#\d+(?:-\d+)?\)\s*$/, "")
        .trim();
}

// ─────────────────────────────────────────────────────────────────────────────
// Evidence Windowing (证据窗口)
// E1: 核心1条 / E2: ±1(约3条) / E3: ±2(约5条)
// 不改chunk切分，不做重叠，只在注入时补邻域，提高语义完整度。
// ─────────────────────────────────────────────────────────────────────────────

const EVIDENCE_LEVEL = {
    E0: 0,
    E1: 1,
    E2: 2,
    E3: 3,
};

function getEvidenceWindowRadius(level) {
    if (level === EVIDENCE_LEVEL.E3) return 2;
    if (level === EVIDENCE_LEVEL.E2) return 1;
    return 0;
}

function buildChunksByFloorMap(chunks) {
    const map = new Map();
    for (const c of chunks || []) {
        const f = c.floor;
        if (!map.has(f)) map.set(f, []);
        map.get(f).push(c);
    }
    for (const arr of map.values()) {
        arr.sort((a, b) => (a.chunkIdx ?? 0) - (b.chunkIdx ?? 0));
    }
    return map;
}

function pickAnchorChunkIdx(eventItem, floorChunks, recalledChunksInRange = []) {
    // 优先：用本轮召回的chunks里，同楼层且相似度最高的作为anchor
    let best = null;
    for (const rc of recalledChunksInRange) {
        if (rc.floor !== eventItem._evidenceFloor) continue;
        if (!best || (rc.similarity || 0) > (best.similarity || 0)) best = rc;
    }
    if (best && best.chunkIdx != null) return best.chunkIdx;

    // 退化：该楼层第一个chunk
    const first = floorChunks?.[0];
    return first?.chunkIdx ?? 0;
}

function getEvidenceChunksForEvent(eventItem, chunksByFloor, recalledChunksInRange, evidenceLevel) {
    if (evidenceLevel === EVIDENCE_LEVEL.E0) return [];

    const floor = eventItem._evidenceFloor;
    const floorChunks = chunksByFloor.get(floor) || [];
    if (!floorChunks.length) return [];

    const radius = getEvidenceWindowRadius(evidenceLevel);
    const anchorIdx = pickAnchorChunkIdx(eventItem, floorChunks, recalledChunksInRange);

    // 找到anchor在floorChunks中的位置
    const pos = floorChunks.findIndex(c => (c.chunkIdx ?? 0) === anchorIdx);
    const anchorPos = pos >= 0 ? pos : 0;

    const start = clamp(anchorPos - radius, 0, floorChunks.length - 1);
    const end = clamp(anchorPos + radius, 0, floorChunks.length - 1);
    const selected = floorChunks.slice(start, end + 1);

    // E1只取核心一条
    if (evidenceLevel === EVIDENCE_LEVEL.E1) return [floorChunks[anchorPos]];
    return selected;
}

function downgrade(level) {
    if (level <= EVIDENCE_LEVEL.E0) return EVIDENCE_LEVEL.E0;
    return level - 1;
}

function chooseInitialEvidenceLevel(e, isTop) {
    if (isTop) return EVIDENCE_LEVEL.E3;
    if (e._recallType === "DIRECT") return EVIDENCE_LEVEL.E2;
    return EVIDENCE_LEVEL.E1;
}

// ─────────────────────────────────────────────────────────────────────────────
// L1 → L2 归属：这里只挂“候选chunks”，最终证据窗口在装配阶段决定
// ─────────────────────────────────────────────────────────────────────────────

function attachChunksToEvents(events, chunks) {
    const usedChunkIds = new Set();

    for (const e of events) {
        e._candidateChunks = [];
        const range = parseFloorRange(e.event?.summary);
        if (!range) continue;

        for (const c of chunks) {
            if (c.floor >= range.start && c.floor <= range.end) {
                if (!usedChunkIds.has(c.chunkId)) {
                    e._candidateChunks.push(c);
                    usedChunkIds.add(c.chunkId);
                }
            }
        }

        e._candidateChunks.sort(
            (a, b) => (a.floor - b.floor) || ((b.similarity || 0) - (a.similarity || 0))
        );
    }

    const orphans = chunks
        .filter(c => !usedChunkIds.has(c.chunkId))
        .sort((a, b) => (b.similarity || 0) - (a.similarity || 0));

    return { events, orphans };
}

// ─────────────────────────────────────────────────────────────────────────────
// 因果事件证据补充：用 eventVector 匹配最相关的 chunk
// ─────────────────────────────────────────────────────────────────────────────

async function attachEvidenceToaCausalEvents(causalEvents, eventVectorMap, chunkVectorMap, chunksMap) {
    for (const c of causalEvents) {
        c._evidenceChunk = null;

        const ev = c.event;
        if (!ev?.id) continue;

        const evVec = eventVectorMap.get(ev.id);
        if (!evVec?.length) continue;

        const range = parseFloorRange(ev.summary);
        if (!range) continue;

        const candidateChunks = [];
        for (const [chunkId, chunk] of chunksMap) {
            if (chunk.floor >= range.start && chunk.floor <= range.end) {
                const vec = chunkVectorMap.get(chunkId);
                if (vec?.length) candidateChunks.push({ chunk, vec });
            }
        }
        if (!candidateChunks.length) continue;

        let best = null;
        let bestSim = -1;
        for (const { chunk, vec } of candidateChunks) {
            const sim = cosineSimilarity(evVec, vec);
            if (sim > bestSim) {
                bestSim = sim;
                best = chunk;
            }
        }

        if (best && bestSim > 0.3) {
            c._evidenceChunk = {
                floor: best.floor,
                speaker: best.speaker,
                text: best.text,
                similarity: bestSim,
            };
        }
    }
}

// ─────────────────────────────────────────────────────────────────────────────
// 格式化函数
// ─────────────────────────────────────────────────────────────────────────────

function formatWorldLines(world) {
    return [...(world || [])]
        .sort((a, b) => (b.floor || 0) - (a.floor || 0))
        .map(w => `- ${w.topic}：${w.content}`);
}

function formatChunkLine(c) {
    const text = String(c.text || "");
    const preview = text.length > 80 ? text.slice(0, 80) + "..." : text;
    const speaker = c.isUser ? "{{user}}" : "{{char}}";
    return `› #${c.floor + 1} [${speaker}] ${preview}`;
}

function formatEventBlock(e, idx, isHighRelevance = false, evidenceChunks = []) {
    const ev = e.event || {};
    const time = ev.timeLabel || "";
    const title = String(ev.title || "").trim();
    const people = (ev.participants || []).join(" / ").trim();
    const summary = cleanSummary(ev.summary);

    const lines = [];

    const displayTitle = title || people || ev.id || "事件";
    const marker = isHighRelevance ? "★" : "";
    const header = time ? `${marker}${idx}.【${time}】${displayTitle}` : `${marker}${idx}. ${displayTitle}`;
    lines.push(header);

    if (people && displayTitle !== people) {
        lines.push(`  ${people}`);
    }

    lines.push(`  ${summary}`);

    for (const c of evidenceChunks || []) {
        lines.push(`  ${formatChunkLine(c)}`);
    }

    return lines.join("\n");
}

function formatCausalEventLine(causalItem, _causalById) {
    const ev = causalItem?.event || {};
    const depth = Math.max(1, Math.min(9, causalItem?._causalDepth || 1));
    const indent = "  │" + "  ".repeat(depth - 1);
    const prefix = `${indent}├─ 前因`;

    const time = ev.timeLabel ? `【${ev.timeLabel}】` : "";
    const people = (ev.participants || []).join(" / ");
    const summary = cleanSummary(ev.summary);

    const r = parseFloorRange(ev.summary);
    const floorHint = r ? `(#${r.start + 1}${r.end !== r.start ? `-${r.end + 1}` : ""})` : "";

    const lines = [];
    lines.push(`${prefix}${time}${people ? ` ${people}` : ""}`);
    const body = `${summary}${floorHint ? ` ${floorHint}` : ""}`.trim();
    lines.push(`${indent}  ${body}`);

    const evidence = causalItem._evidenceChunk;
    if (evidence) {
        const speaker = evidence.speaker || "角色";
        const preview = evidence.text.length > 60 ? evidence.text.slice(0, 60) + "..." : evidence.text;
        lines.push(`${indent}  › #${evidence.floor + 1} [${speaker}] ${preview}`);
    }

    return lines.join("\n");
}

function formatArcLine(a) {
    const moments = (a.moments || [])
        .map(m => (typeof m === "string" ? m : m.text))
        .filter(Boolean);

    if (moments.length) {
        return `- ${a.name}：${moments.join(" → ")}（当前：${a.trajectory}）`;
    }
    return `- ${a.name}：${a.trajectory}`;
}

function buildTopKIdSet(directEvents, similarEvents) {
    return new Set(
        [...directEvents, ...similarEvents]
            .sort((a, b) => (b.similarity || 0) - (a.similarity || 0))
            .slice(0, TOP_RELEVANCE_COUNT)
            .map(e => e.event?.id)
            .filter(Boolean)
    );
}

function computeEventTextCost(e, isTop, evidenceChunks = []) {
    const tmp = formatEventBlock(e, 1, isTop, evidenceChunks);
    return estimateTokens(tmp);
}

// ─────────────────────────────────────────────────────────────────────────────
// 非向量模式：沿用旧行为（简单、快）
// ─────────────────────────────────────────────────────────────────────────────

function buildMemoryPromptVectorDisabled(store) {
    const data = store.json || {};
    const sections = [];

    if (data.world?.length) {
        const lines = formatWorldLines(data.world);
        sections.push(`[世界状态] 请严格遵守\n${lines.join("\n")}`);
    }

    if (data.events?.length) {
        const lines = data.events.map((ev, i) => {
            const time = ev.timeLabel || "";
            const title = ev.title || "";
            const people = (ev.participants || []).join(" / ");
            const summary = cleanSummary(ev.summary);
            const header = time ? `${i + 1}.【${time}】${title || people}` : `${i + 1}. ${title || people}`;
            return `${header}\n  ${summary}`;
        });
        sections.push(`[剧情记忆]\n\n${lines.join("\n\n")}`);
    }

    if (data.arcs?.length) {
        const lines = data.arcs.map(formatArcLine);
        sections.push(`[人物弧光]\n${lines.join("\n")}`);
    }

    if (!sections.length) return { promptText: "", injectionLogText: "", injectionStats: null };
    return {
        promptText: `<剧情记忆>\n\n${sections.join("\n\n")}\n\n</剧情记忆>`,
        injectionLogText: "",
        injectionStats: null,
    };
}

// ─────────────────────────────────────────────────────────────────────────────
// 预算驱动装配（向量模式）
// ─────────────────────────────────────────────────────────────────────────────

async function buildMemoryPromptVectorEnabled(store, recallResult, causalById, queryEntities = []) {
    const data = store.json || {};
    const total = { used: 0, max: BUDGET.total };
    const sections = [];

    const injectionStats = {
        budget: { max: BUDGET.total, used: 0 },
        world: { count: 0, tokens: 0 },
        direct: { recalled: 0, injected: 0, causalCount: 0, chunksCount: 0, tokens: 0 },
        similar: { recalled: 0, injected: 0, causalCount: 0, chunksCount: 0, tokens: 0 },
        orphans: { recalled: 0, injected: 0, tokens: 0 },
        arcs: { count: 0, tokens: 0 },
        packing: null,
    };

    const targetUsed = Math.floor(BUDGET.total * TARGET_UTILIZATION);

    // [世界状态]
    const worldLines = formatWorldLines(data.world);
    if (worldLines.length) {
        const l3 = { used: 0, max: Math.min(BUDGET.l3Max, total.max) };
        const l3Lines = [];

        for (const line of worldLines) {
            if (!pushWithBudget(l3Lines, line, l3)) break;
        }

        if (l3Lines.length) {
            sections.push(`[世界状态] 请严格遵守\n${l3Lines.join("\n")}`);
            total.used += l3.used;
            injectionStats.world.count = l3Lines.length;
            injectionStats.world.tokens = l3.used;
        }
    }

    // L1 → L2 归属
    const events = recallResult?.events || [];
    const chunks = recallResult?.chunks || [];
    const { events: eventsWithChunks, orphans } = attachChunksToEvents(events, chunks);

    const directEvents = eventsWithChunks.filter(e => e._recallType === "DIRECT");
    const similarEvents = eventsWithChunks.filter(e => e._recallType !== "DIRECT");

    injectionStats.direct.recalled = directEvents.length;
    injectionStats.similar.recalled = similarEvents.length;

    const topKIds = buildTopKIdSet(directEvents, similarEvents);

    // 证据楼层选择：用事件 range.end 作为 evidenceFloor（贴近事件结尾）
    const evidenceFloors = new Set();
    for (const e of eventsWithChunks) {
        const r = parseFloorRange(e.event?.summary);
        if (!r) continue;
        e._evidenceFloor = r.end;
        evidenceFloors.add(r.end);
    }

    // 批量加载这些楼层 chunks，用于证据窗口
    const { chatId } = getContext();
    let chunksByFloor = new Map();
    if (chatId && evidenceFloors.size) {
        try {
            const floorChunks = await getChunksByFloors(chatId, Array.from(evidenceFloors));
            chunksByFloor = buildChunksByFloorMap(floorChunks);
        } catch (e) {
            xbLog.warn(MODULE_ID, "Failed to load floor chunks for evidence windowing", e);
        }
    }

    // ─────────────────────────────────────────────────────────────────────
    // 预算装配（不再固定条数）
    // ─────────────────────────────────────────────────────────────────────
    // L2预算：目标 65% 总预算，上限 80%（保守避免 L2 吞满全部）
    const l2Target = Math.floor(BUDGET.total * 0.65);
    const l2Ceil = Math.floor(BUDGET.total * 0.8);
    const l2Budget = {
        used: 0,
        max: Math.min(l2Ceil, Math.max(0, BUDGET.total - total.used)),
    };

    const packStats = {
        targetUtilization: TARGET_UTILIZATION,
        l2Used: 0,
        l2Max: l2Budget.max,
        selectedEvents: 0,
        selectedDirect: 0,
        selectedSimilar: 0,
        e3: 0,
        e2: 0,
        e1: 0,
        e0: 0,
        evidenceChunks: 0,
    };

    // 候选：按 similarity 降序（更贴近“本轮需要”）
    const candidates = [...directEvents, ...similarEvents]
        .filter(e => e?.event?.summary)
        .sort((a, b) => (b.similarity || 0) - (a.similarity || 0));

    const selected = []; // { e, evidenceLevel, evidenceChunks, cost, isTop }
    const selectedIds = new Set();

    for (const e of candidates) {
        const id = e.event?.id;
        if (!id || selectedIds.has(id)) continue;

        const isTop = topKIds.has(id);
        let level = chooseInitialEvidenceLevel(e, isTop);

        const recalledInRange = e._candidateChunks || [];

        // 从高到低降级，直到能塞入 L2 budget
        while (true) {
            const evChunks = getEvidenceChunksForEvent(e, chunksByFloor, recalledInRange, level);
            const cost = computeEventTextCost(e, isTop, evChunks);

            if (l2Budget.used + cost <= l2Budget.max) {
                selected.push({ e, evidenceLevel: level, evidenceChunks: evChunks, cost, isTop });
                selectedIds.add(id);
                l2Budget.used += cost;
                break;
            }

            if (level === EVIDENCE_LEVEL.E0) break;
            level = downgrade(level);
        }

        // 达到 L2 目标就先停（后续仍可能做“证据升级”填预算）
        if (l2Budget.used >= l2Target) break;
    }

    // 若总预算仍明显不足目标利用率，做一次“证据升级”填预算（安全填充）
    if (total.used + l2Budget.used < targetUsed && l2Budget.used < l2Budget.max && selected.length) {
        const upgradable = [...selected].sort((a, b) => {
            if (a.isTop !== b.isTop) return a.isTop ? -1 : 1;
            return (b.e.similarity || 0) - (a.e.similarity || 0);
        });

        for (const item of upgradable) {
            if (total.used + l2Budget.used >= targetUsed) break;
            if (l2Budget.used >= l2Budget.max) break;

            const cur = item.evidenceLevel;
            const next = cur >= EVIDENCE_LEVEL.E3 ? cur : cur + 1;
            if (next === cur) continue;

            const recalledInRange = item.e._candidateChunks || [];
            const nextChunks = getEvidenceChunksForEvent(item.e, chunksByFloor, recalledInRange, next);
            const nextCost = computeEventTextCost(item.e, item.isTop, nextChunks);
            const delta = nextCost - item.cost;

            if (delta <= 0) continue;
            if (l2Budget.used + delta <= l2Budget.max) {
                item.evidenceLevel = next;
                item.evidenceChunks = nextChunks;
                item.cost = nextCost;
                l2Budget.used += delta;
            }
        }
    }

    // packing stats 汇总
    packStats.l2Used = l2Budget.used;

    for (const item of selected) {
        packStats.selectedEvents++;
        if (item.e._recallType === "DIRECT") packStats.selectedDirect++;
        else packStats.selectedSimilar++;

        if (item.evidenceLevel === EVIDENCE_LEVEL.E3) packStats.e3++;
        else if (item.evidenceLevel === EVIDENCE_LEVEL.E2) packStats.e2++;
        else if (item.evidenceLevel === EVIDENCE_LEVEL.E1) packStats.e1++;
        else packStats.e0++;

        packStats.evidenceChunks += item.evidenceChunks?.length || 0;
    }
    injectionStats.packing = packStats;

    // 最终输出仍按时间线：按事件 summary 里的楼层范围 start 排序
    function getEventFloorStart(ev) {
        const r = parseFloorRange(ev?.summary);
        return r?.start ?? Number.POSITIVE_INFINITY;
    }

    const selectedEventsOrdered = selected.sort(
        (a, b) => getEventFloorStart(a.e.event) - getEventFloorStart(b.e.event)
    );

    // ─────────────────────────────────────────────────────────────────────
    // [亲身经历] DIRECT
    // ─────────────────────────────────────────────────────────────────────
    {
        const directLines = [];
        let idx = 1;
        let injectedCount = 0;
        let causalCount = 0;
        let chunksCount = 0;

        for (const item of selectedEventsOrdered) {
            if (item.e._recallType !== "DIRECT") continue;

            const block = formatEventBlock(item.e, idx, item.isTop, item.evidenceChunks);
            directLines.push(block);
            injectedCount++;
            chunksCount += item.evidenceChunks?.length || 0;

            for (const cid of item.e.event?.causedBy || []) {
                const c = causalById.get(cid);
                if (!c) continue;
                directLines.push(formatCausalEventLine(c, causalById));
                causalCount++;
            }
            idx++;
        }

        if (directLines.length) {
            const text = `[亲身经历]\n\n${directLines.join("\n\n")}`;
            const t = estimateTokens(text);
            if (total.used + t <= total.max) {
                sections.push(text);
                total.used += t;
                injectionStats.direct.injected = injectedCount;
                injectionStats.direct.causalCount = causalCount;
                injectionStats.direct.chunksCount = chunksCount;
                injectionStats.direct.tokens = t;
            }
        }
    }

    // ─────────────────────────────────────────────────────────────────────
    // [相关背景] SIMILAR
    // ─────────────────────────────────────────────────────────────────────
    {
        const similarLines = [];
        let idx = (injectionStats.direct.injected || 0) + 1;
        let injectedCount = 0;
        let causalCount = 0;
        let chunksCount = 0;

        for (const item of selectedEventsOrdered) {
            if (item.e._recallType === "DIRECT") continue;

            const block = formatEventBlock(item.e, idx, item.isTop, item.evidenceChunks);
            similarLines.push(block);
            injectedCount++;
            chunksCount += item.evidenceChunks?.length || 0;

            for (const cid of item.e.event?.causedBy || []) {
                const c = causalById.get(cid);
                if (!c) continue;
                similarLines.push(formatCausalEventLine(c, causalById));
                causalCount++;
            }
            idx++;
        }

        if (similarLines.length) {
            const text = `[相关背景]\n\n${similarLines.join("\n\n")}`;
            const t = estimateTokens(text);
            if (total.used + t <= total.max) {
                sections.push(text);
                total.used += t;
                injectionStats.similar.injected = injectedCount;
                injectionStats.similar.causalCount = causalCount;
                injectionStats.similar.chunksCount = chunksCount;
                injectionStats.similar.tokens = t;
            }
        }
    }

    // ─────────────────────────────────────────────────────────────────────
    // [记忆碎片] Orphans：按剩余预算自然装入（仍受预算约束），按时间排序
    // ─────────────────────────────────────────────────────────────────────
    if (orphans.length && total.used < total.max) {
        const l1 = { used: 0, max: total.max - total.used };
        const lines = [];

        injectionStats.orphans.recalled = orphans.length;

        orphans.sort((a, b) => a.floor - b.floor);

        for (const c of orphans) {
            const line = formatChunkLine(c);
            if (!pushWithBudget(lines, line, l1)) break;
            injectionStats.orphans.injected++;
        }

        if (lines.length) {
            sections.push(`[记忆碎片]\n${lines.join("\n")}`);
            total.used += l1.used;
            injectionStats.orphans.tokens = l1.used;
        }
    }

    // ─────────────────────────────────────────────────────────────────────
    // [人物弧光]：只保留 USER + queryEntities
    // ─────────────────────────────────────────────────────────────────────
    if (data.arcs?.length && total.used < total.max) {
        const { name1 } = getContext();
        const userName = String(name1 || "").trim();

        const relevantEntities = new Set(
            [userName, ...(queryEntities || [])]
                .map(s => String(s || "").trim())
                .filter(Boolean)
        );

        const filteredArcs = (data.arcs || []).filter(a => {
            const arcName = String(a?.name || "").trim();
            return arcName && relevantEntities.has(arcName);
        });

        if (filteredArcs.length) {
            const arcLines = filteredArcs.map(formatArcLine);
            const arcText = `[人物弧光]\n${arcLines.join("\n")}`;
            const arcTokens = estimateTokens(arcText);

            if (total.used + arcTokens <= total.max) {
                sections.push(arcText);
                total.used += arcTokens;
                injectionStats.arcs.count = filteredArcs.length;
                injectionStats.arcs.tokens = arcTokens;
            }
        }
    }

    // 组装
    if (!sections.length) {
        injectionStats.budget.used = total.used;
        return { promptText: "", injectionLogText: "", injectionStats };
    }

    injectionStats.budget.used = total.used;
    const promptText = `<剧情记忆>\n\n${sections.join("\n\n")}\n\n</剧情记忆>`;
    const injectionLogText = formatInjectionLog(injectionStats);

    return { promptText, injectionLogText, injectionStats };
}

// ─────────────────────────────────────────────────────────────────────────────
// Exported API
// ─────────────────────────────────────────────────────────────────────────────

export async function formatPromptWithMemory(store, recallResult, causalById, queryEntities = []) {
    const vectorCfg = getVectorConfig();
    return vectorCfg?.enabled
        ? await buildMemoryPromptVectorEnabled(store, recallResult, causalById, queryEntities)
        : buildMemoryPromptVectorDisabled(store);
}

export async function recallAndInjectPrompt(excludeLastAi = false, postToFrame = null) {
    if (!getSettings().storySummary?.enabled) {
        delete extension_prompts[SUMMARY_PROMPT_KEY];
        return;
    }

    const { chat } = getContext();
    const store = getSummaryStore();

    if (!store?.json) {
        delete extension_prompts[SUMMARY_PROMPT_KEY];
        return;
    }

    const allEvents = store.json.events || [];
    const lastIdx = store.lastSummarizedMesId ?? 0;
    const length = chat?.length || 0;

    if (lastIdx >= length) {
        delete extension_prompts[SUMMARY_PROMPT_KEY];
        return;
    }

    const vectorCfg = getVectorConfig();
    let recallResult = { events: [], chunks: [], causalEvents: [], queryEntities: [] };
    let causalById = new Map();

    if (vectorCfg?.enabled) {
        try {
            const queryText = buildQueryText(chat, 2, excludeLastAi);
            recallResult = await recallMemory(queryText, allEvents, vectorCfg, { excludeLastAi });

            // Attach evidence chunks for causal events
            const causalEvents = recallResult.causalEvents || [];
            if (causalEvents.length > 0) {
                const { chatId } = getContext();
                if (chatId) {
                    try {
                        const floors = new Set();
                        for (const c of causalEvents) {
                            const r = parseFloorRange(c.event?.summary);
                            if (!r) continue;
                            for (let f = r.start; f <= r.end; f++) floors.add(f);
                        }

                        const [chunks, chunkVecs, eventVecs] = await Promise.all([
                            getChunksByFloors(chatId, Array.from(floors)),
                            getAllChunkVectors(chatId),
                            getAllEventVectors(chatId),
                        ]);

                        const chunksMap = new Map(chunks.map(c => [c.chunkId, c]));
                        const chunkVectorMap = new Map(chunkVecs.map(v => [v.chunkId, v.vector]));
                        const eventVectorMap = new Map(eventVecs.map(v => [v.eventId, v.vector]));

                        await attachEvidenceToaCausalEvents(causalEvents, eventVectorMap, chunkVectorMap, chunksMap);
                    } catch (e) {
                        xbLog.warn(MODULE_ID, "Causal evidence attachment failed", e);
                    }
                }
            }

            causalById = new Map(
                (recallResult.causalEvents || [])
                    .map(c => [c?.event?.id, c])
                    .filter(x => x[0])
            );
        } catch (e) {
            xbLog.error(MODULE_ID, "召回失败", e);
        }
    }

    const result = await injectPrompt(
        store,
        recallResult,
        chat,
        causalById,
        recallResult?.queryEntities || []
    );

    if (postToFrame) {
        const recallLog = recallResult.logText || "";
        const injectionLog = result?.injectionLogText || "";
        postToFrame({ type: "RECALL_LOG", text: recallLog + injectionLog });
    }
}

export function updateSummaryExtensionPrompt() {
    if (!getSettings().storySummary?.enabled) {
        delete extension_prompts[SUMMARY_PROMPT_KEY];
        return;
    }

    const { chat } = getContext();
    const store = getSummaryStore();

    if (!store?.json || (store.lastSummarizedMesId ?? 0) >= (chat?.length || 0)) {
        delete extension_prompts[SUMMARY_PROMPT_KEY];
        return;
    }

    // 注意：这里保持“快速注入”以降低频繁触发时的开销（不做预算装配/DB批量拉取）
    // 真正的预算驱动装配在 recallAndInjectPrompt() 中执行。
    injectPrompt(store, { events: [], chunks: [], causalEvents: [], queryEntities: [] }, chat, new Map(), []);
}

async function injectPrompt(store, recallResult, chat, causalById, queryEntities = []) {
    const length = chat?.length || 0;

    const result = await formatPromptWithMemory(store, recallResult, causalById, queryEntities);
    let text = result?.promptText || "";
    const injectionLogText = result?.injectionLogText || "";

    const cfg = getSummaryPanelConfig();
    if (cfg.trigger?.wrapperHead) text = cfg.trigger.wrapperHead + "\n" + text;
    if (cfg.trigger?.wrapperTail) text = text + "\n" + cfg.trigger.wrapperTail;

    if (!text.trim()) {
        delete extension_prompts[SUMMARY_PROMPT_KEY];
        return { injectionLogText: "" };
    }

    const lastIdx = store.lastSummarizedMesId ?? 0;
    let depth = length - lastIdx - 1;
    if (depth < 0) depth = 0;

    if (cfg.trigger?.forceInsertAtEnd) depth = 10000;

    extension_prompts[SUMMARY_PROMPT_KEY] = {
        value: text,
        position: extension_prompt_types.IN_CHAT,
        depth,
        role: extension_prompt_roles.SYSTEM,
    };

    return { injectionLogText };
}

export function clearSummaryExtensionPrompt() {
    delete extension_prompts[SUMMARY_PROMPT_KEY];
}