v1.2.1(重发): 修复刷新误标已占领(缓存击穿+宽限期60s+防误判)、修复GUI/刷新卡顿与内存(视口过滤/后台预计算/零复制校验/内容去重/ChunkPos驻留)、区域扩地重写为严格S形由内而外(起始边离王城最近)

README.md

@@ -15,12 +15,16 @@
 - 实时地图 GUI（通过 Ctrl+R 打开）
 - 监听聊天/字幕消息判断开垦结果
 - 刷新地图时与最新 `markers.json` 核对已占领区块，丢弃地图未确认的超期假占领，避免高地扩地残留空洞
+- 刷新请求带缓存击穿（时间戳参数 + no-cache 头），修复约半数刷新命中网络缓存拿到旧数据、导致目标被误标"已占领"且长时间不修正的问题；占领成功后立即触发刷新确认，假占领确认宽限期缩短至 60 秒
+- 飞地（疏漏区块）检测：按 dynmap 奇偶填充规则解析领土多边形，正确识别国中由边界围出的内圈空腔；内置地图用红色标出己方飞地，自动扩地时优先填补这些缺口
+- 区域扩地严格 S 形（蛇形）扫描：起始边为矩形四条边中离王城最近的一条，由内而外推进；即使待开垦区块构成不规则多边形也按 S 形一路扫过去
+- 性能优化：地图渲染按视口快速过滤（不再每帧全量遍历 8 万区块）、飞地检测移至后台线程预计算、接壤校验零集合复制、响应内容未变化时跳过重复解析、ChunkPos 跨模型驻留复用——修复打开 GUI 与刷新地图时游戏卡顿、内存占用偏高的问题
 - 日志导出：GUI 右上角“导出日志”按钮，或 `/autostore log` 命令，记录寻路、坐标、状态、路径事件等
 
 ## 安装
 
 1. 安装 Fabric Loader 0.16.14+ 和 Fabric API
-2. 将 `autostore-1.1.9.jar` 放入 `.minecraft/mods/` 目录
+2. 将 `autostore-1.2.1.jar` 放入 `.minecraft/mods/` 目录
 3. 启动游戏，按 `Ctrl+R` 打开 GUI
 
 ## 构建
@@ -30,4 +34,12 @@
 ./build_mod.sh
 ```
 
-输出文件：`autostore-1.1.9.jar`
+输出文件：`autostore-1.2.1.jar`
+
+## 赞助支持
+
+如果你觉得这个模组对你有帮助，欢迎赞助支持一下创作者 ❤️
+
+![赞助码](docs/sponsor.png)
+
+你的支持是持续开发的动力！

analyze_holes.py

@@ -0,0 +1,126 @@
+import json, math, urllib.request, sys
+sys.dont_write_bytecode = True
+
+URL = "http://bgjq.simpfun.cn/tiles/minecraft_overworld/markers.json"
+data = urllib.request.urlopen(
+    urllib.request.Request(URL, headers={"User-Agent": "Mozilla/5.0 autostore/1.0"}),
+    timeout=20).read()
+root = json.loads(data.decode("utf-8"))
+
+CLAIM_PATTERN_prefix = "疆土归属:"
+
+def extract_polygons(points):
+    result = []
+    if points is None or not isinstance(points, list):
+        return result
+    if len(points) == 0:
+        return result
+    if isinstance(points[0], dict) and "x" in points[0] and "z" in points[0]:
+        poly = [(p["x"], p["z"]) for p in points]
+        if len(poly) >= 3:
+            result.append(poly)
+    else:
+        for el in points:
+            result.extend(extract_polygons(el))
+    return result
+
+def point_in_polygon(x, z, poly):
+    inside = False
+    j = len(poly) - 1
+    for i in range(len(poly)):
+        xi, zi = poly[i]
+        xj, zj = poly[j]
+        if (zi > z) != (zj > z) and x < (xj - xi) * (z - zi) / (zj - zi) + xi:
+            inside = not inside
+        j = i
+    return inside
+
+def fill_polygon(out, poly):
+    minx = min(math.floor(p[0]/16) for p in poly)
+    maxx = max(math.floor(p[0]/16) for p in poly)
+    minz = min(math.floor(p[1]/16) for p in poly)
+    maxz = max(math.floor(p[1]/16) for p in poly)
+    area = (maxx - minx + 1) * (maxz - minz + 1)
+    if area > 6_000_000:
+        return
+    for cx in range(minx, maxx+1):
+        for cz in range(minz, maxz+1):
+            if point_in_polygon(cx*16+8, cz*16+8, poly):
+                out.add((cx, cz))
+
+# Polygon count per marker
+poly_counts = {}
+for layer in root:
+    if layer.get("id") != "union_claims":
+        continue
+    for marker in layer.get("markers", []):
+        popup = marker.get("popup", "")
+        idx = popup.find(CLAIM_PATTERN_prefix)
+        if idx < 0:
+            continue
+        rest = popup[idx+len(CLAIM_PATTERN_prefix):].lstrip()
+        name = ""
+        for ch in rest:
+            if ch in "<\r\n":
+                break
+            name += ch
+        name = name.strip()
+        if not name:
+            continue
+        polys = extract_polygons(marker.get("points"))
+        poly_counts.setdefault(name, 0)
+        poly_counts[name] += len(polys)
+
+print("=== markers with multiple polygons (potential holes as inner rings) ===")
+for name, cnt in poly_counts.items():
+    if cnt > 1:
+        print(f"  {name}: {cnt} polygons")
+
+# Also report how many total markers
+print(f"\nTotal markers: {sum(poly_counts.values())}, distinct countries: {len(poly_counts)}")
+
+claims = {}
+for layer in root:
+    if layer.get("id") != "union_claims":
+        continue
+    for marker in layer.get("markers", []):
+        popup = marker.get("popup", "")
+        idx = popup.find(CLAIM_PATTERN_prefix)
+        if idx < 0:
+            continue
+        rest = popup[idx+len(CLAIM_PATTERN_prefix):].lstrip()
+        name = ""
+        for ch in rest:
+            if ch in "<\r\n":
+                break
+            name += ch
+        name = name.strip()
+        if not name:
+            continue
+        s = claims.setdefault(name, set())
+        for poly in extract_polygons(marker.get("points")):
+            fill_polygon(s, poly)
+
+print(f"Total countries parsed: {len(claims)}")
+print(f"Total claimed chunks: {sum(len(v) for v in claims.values())}")
+
+print("\n=== Flying chunks (holes) per country ===")
+total_holes = 0
+for name, chunks in claims.items():
+    if not chunks:
+        continue
+    xs = [c[0] for c in chunks]
+    zs = [c[1] for c in chunks]
+    minx, maxx = min(xs), max(xs)
+    minz, maxz = min(zs), max(zs)
+    holes = []
+    for cx in range(minx, maxx+1):
+        for cz in range(minz, maxz+1):
+            if (cx, cz) in chunks:
+                continue
+            if all(((cx+dx, cz+dz) in chunks) for dx, dz in [(1,0),(-1,0),(0,1),(0,-1)]):
+                holes.append((cx, cz))
+    if holes:
+        total_holes += len(holes)
+        print(f"  {name}: {len(holes)} holes, e.g. {holes[:8]}")
+print(f"\n=== TOTAL flying chunks: {total_holes} ===")

gradle.properties

@@ -7,7 +7,7 @@ yarn_mappings=1.21.4+build.8
 loader_version=0.19.3
 
 # Mod Properties
-mod_version=1.1.9
+mod_version=1.2.1
 maven_group=autostore
 archives_base_name=autostore
 

src/main/java/autostore/client/controller/ExpansionController.java

@@ -451,22 +451,27 @@ implements SubtitleChatMonitor.Listener, BaritoneBridge.PathListener {
     /**
      * 判断区块是否与己方领土（己方邦国地图区块 + 本次会话新占领区块）接壤。
      *
-     * <p>接壤采用四个正方向（上下左右）；只对“己方”领土判断，绝不把其他邦国领土计入。</p>
+     * <p>接壤采用四个正方向（上下左右）；只对“己方”领土判断，绝不把其他邦国领土计入。
+     * 实现上直接查询四个邻居是否命中集合，零集合复制——
+     * 旧实现每帧把数千个己方区块复制进临时 HashSet，是持续卡顿与内存压力的来源之一。</p>
      */
     private boolean isAdjacentToOwn(ChunkPos chunk) {
         TerritoryModel model = this.dataService.model();
-        Set<ChunkPos> own = new HashSet<ChunkPos>();
         TerritoryState self = model.selfState();
-        if (self != null) {
+        Set<ChunkPos> ownChunks = self == null ? null : self.chunks();
-            own.addAll(self.chunks());
+        Set<ChunkPos> sessionClaims = model.sessionClaims();
+        int x = chunk.x();
+        int z = chunk.z();
+        return this.isOwnAt(ownChunks, sessionClaims, x + 1, z)
+            || this.isOwnAt(ownChunks, sessionClaims, x - 1, z)
+            || this.isOwnAt(ownChunks, sessionClaims, x, z + 1)
+            || this.isOwnAt(ownChunks, sessionClaims, x, z - 1);
     }
-        own.addAll(model.sessionClaims());
+
-        for (ChunkPos neighbor : this.cardinalNeighbors(chunk)) {
+    /** 判断指定坐标的区块是否属于己方领土或本次会话新占领 */
-            if (own.contains(neighbor)) {
+    private boolean isOwnAt(Set<ChunkPos> ownChunks, Set<ChunkPos> sessionClaims, int x, int z) {
-                return true;
+        ChunkPos probe = new ChunkPos(x, z);
-            }
+        return ownChunks != null && ownChunks.contains(probe) || sessionClaims.contains(probe);
-        }
-        return false;
     }
 
     /** 成功后的过渡：进入 NEXT 状态，准备处理下一个目标 */
@@ -583,6 +588,9 @@ implements SubtitleChatMonitor.Listener, BaritoneBridge.PathListener {
         }
         this.model.addSessionClaim(chunk);
         this.dataService.addSessionClaim(chunk);
+        // 占领成功后立即触发一次地图刷新（请求侧已带缓存击穿），尽快让地图数据确认该区块，
+        // 缩短"会话占领等待确认"窗口，避免假占领长时间残留
+        this.dataService.refreshAsync();
         ++this.completedClaims;
         this.target = chunk;
         this.lastProgress = 100;
@@ -599,12 +607,20 @@ implements SubtitleChatMonitor.Listener, BaritoneBridge.PathListener {
         if (this.target == null) {
             return;
         }
+        // 开垦只能发生在玩家所在区块：校验玩家确实位于目标区块上。
+        // 通用成功文案采用模糊匹配，可能被服务器广播的其他玩家开垦消息误触发；
+        // 不校验会把未占领的目标错误标记为"已占领"并跳过，直到很久之后才被地图数据纠正（v1.2.1 修复）。
+        if (!this.playerChunk.equals(this.target)) {
+            return;
+        }
         // 去重：同一区块只计一次
         if (!this.claimedSet.add(this.target)) {
             return;
         }
         this.model.addSessionClaim(this.target);
         this.dataService.addSessionClaim(this.target);
+        // 占领成功后立即触发一次地图刷新，尽快确认该区块
+        this.dataService.refreshAsync();
         ++this.completedClaims;
         this.lastProgress = 100;
         this.log("\u5360\u9886\u6210\u529f " + this.target.x() + "," + this.target.z());
@@ -622,11 +638,6 @@ implements SubtitleChatMonitor.Listener, BaritoneBridge.PathListener {
         return this.dataService.model().allClaimedChunks().contains(chunk);
     }
 
-    /** 返回区块的四个正方向邻居 */
-    private List<ChunkPos> cardinalNeighbors(ChunkPos chunk) {
-        return List.of(new ChunkPos(chunk.x() + 1, chunk.z()), new ChunkPos(chunk.x() - 1, chunk.z()), new ChunkPos(chunk.x(), chunk.z() + 1), new ChunkPos(chunk.x(), chunk.z() - 1));
-    }
-
     /**
      * 自动游泳逻辑（每帧调用）：
      * 仅在玩家完全没入水中（有溺水风险）时自动跳跃，保持浮在水面。

src/main/java/autostore/client/gui/AutoStoreGui.java

@@ -14,6 +14,7 @@ import autostore.client.territory.ChunkPos;
 import autostore.client.territory.TerritoryModel;
 import autostore.client.territory.TerritoryState;
 import java.util.List;
+import java.util.Set;
 import java.util.function.Consumer;
 import net.fabricmc.api.EnvType;
 import net.fabricmc.api.Environment;
@@ -347,14 +348,27 @@ extends Screen {
         context.drawTextWithShadow(this.textRenderer, "\u9886\u571f\u5730\u56fe", this.mapX + 2, this.mapY - 12, -1513240);
     }
 
-    /** 绘制各邦国领土区块（己方高亮、其他半透明），并绘制会话新占领区块 */
+    /** 绘制各邦国领土区块（己方高亮、其他半透明），并绘制会话新占领区块与飞地（疏漏区块） */
     private void drawTerritories(DrawContext context) {
         TerritoryModel model = this.mod.dataService().model();
+        // 先反推当前视口覆盖的区块范围（含一个区块边距），遍历时用整数比较快速剔除视口外区块。
+        // 全图约 8 万区块，旧实现每帧对每个区块都调用屏幕坐标换算，是打开 GUI / 刷新后掉帧的主因。
+        double invScale = 1.0 / this.scale;
+        int edge = (int)Math.ceil(this.scale) + 2;
+        int halfW = this.mapW / 2;
+        int halfH = this.mapH / 2;
+        int visMinX = (int)Math.floor((this.mapX - edge - this.mapX - halfW) * invScale) + this.viewCenterX;
+        int visMaxX = (int)Math.ceil((this.mapX + this.mapW + edge - this.mapX - halfW) * invScale) + this.viewCenterX;
+        int visMinZ = (int)Math.floor((this.mapY - edge - this.mapY - halfH) * invScale) + this.viewCenterZ;
+        int visMaxZ = (int)Math.ceil((this.mapY + this.mapH + edge - this.mapY - halfH) * invScale) + this.viewCenterZ;
         for (TerritoryState state : model.states()) {
             boolean self = state.equals(model.selfState());
             int color = state.color();
             int fill = this.withAlpha(color, self ? 155 : 92);
             for (ChunkPos chunk : state.chunks()) {
+                int cx = chunk.x();
+                int cz = chunk.z();
+                if (cx < visMinX || cx > visMaxX || cz < visMinZ || cz > visMaxZ) continue;
                 this.drawChunkFill(context, chunk, fill);
             }
             if (!this.isVisible(state.capital())) continue;
@@ -363,6 +377,11 @@ extends Screen {
         for (ChunkPos chunk : model.sessionClaims()) {
             this.drawChunkFill(context, chunk, -1938440928);
         }
+        // 标记飞地（疏漏区块）：己方用醒目的红色描边提示填补，其他邦国用暗灰色标示
+        Set<ChunkPos> selfFlying = model.selfFlyingChunks();
+        for (ChunkPos chunk : model.flyingChunks()) {
+            this.drawChunkOutline(context, chunk, selfFlying.contains(chunk) ? -65536 : this.withAlpha(-8333060, 160));
+        }
     }
 
     /** 绘制玩家位置（白色方块）与当前目标区块（橙色描边） */

src/main/java/autostore/client/planner/ExpansionPlanner.java

@@ -40,17 +40,47 @@ public final class ExpansionPlanner {
      * @return 建议占领的区块列表（按优先级排序）
      */
     public List<ChunkPos> generate(TerritoryModel model, ExpansionConfig config, ChunkPos playerChunk) {
+        List<ChunkPos> result;
         if (config.strategy == 1) {
-            return this.generateHolePriority(model, config, playerChunk);
+            result = this.generateHolePriority(model, config, playerChunk);
+        } else if (config.strategy == 4) {
+            result = this.generatePerimeter(model, config, playerChunk);
+        } else if (config.strategy == 2 && config.regionMaxX >= config.regionMinX) {
+            result = this.generateRectangle(model, config, playerChunk);
+        } else {
+            result = this.generateLine(model, config, playerChunk);
         }
-        if (config.strategy == 4) {
+        return this.prefixFlyingChunks(model, config, playerChunk, result);
-            return this.generatePerimeter(model, config, playerChunk);
     }
-        // 策略 2 区域扩地：玩家圈选了矩形时，完全按矩形区域扩地
+
-        if (config.strategy == 2 && config.regionMaxX >= config.regionMinX) {
+    /**
-            return this.generateRectangle(model, config, playerChunk);
+     * 将己方领土内的"飞地（疏漏区块）"提到队列最前，优先填补。
+     *
+     * <p>飞地指未被占领、但四周（四个正方向）都被己方领土包围的区块，
+     * 是自动扩地过程中最容易漏掉的疏漏。先把它们填上可保证领土闭合、不留缺口。</p>
+     */
+    private List<ChunkPos> prefixFlyingChunks(TerritoryModel model, ExpansionConfig config, ChunkPos playerChunk, List<ChunkPos> planned) {
+        Set<ChunkPos> flying = model.selfFlyingChunks();
+        if (flying == null || flying.isEmpty()) {
+            return planned;
         }
-        return this.generateLine(model, config, playerChunk);
+        int limit = config.targetCount > 0 ? config.targetCount : Math.max(planned.size(), flying.size());
+        Comparator<ChunkPos> byDistance = Comparator.comparingInt(playerChunk::manhattanDistance);
+        ArrayList<ChunkPos> result = new ArrayList<ChunkPos>();
+        // 飞地优先，且必须仍在配置区域内
+        for (ChunkPos chunk : flying) {
+            if (result.size() >= limit) break;
+            if (!this.isInRegion(chunk, config)) continue;
+            result.add(chunk);
+        }
+        result.sort(byDistance);
+        // 其余规划区块依次补充，去重且不超过 limit
+        for (ChunkPos chunk : planned) {
+            if (result.size() >= limit) break;
+            if (flying.contains(chunk)) continue;
+            result.add(chunk);
+        }
+        return result;
     }
 
     /**
@@ -190,13 +220,18 @@ public final class ExpansionPlanner {
     }
 
     /**
-     * 策略 2 矩形区域扩地：在玩家圈选的矩形内，从与现有领土接壤的区块开始，
+     * 策略 2 矩形区域扩地：严格 S 形（蛇形）扫描，由内而外推进。
-     * 横向或纵向 S 形扫过整个矩形。
      *
-     * <p>与旧版"沿邦国边界逐层向内 BFS"不同，本算法不再贴着邦国现有边界，
+     * <p>扫描规则（v1.2.1 重写）：
-     * 而是生成一条贯穿矩形的 S 形路径：从接壤起点开始，逐行/逐列交替反向扫过，
+     * <ul>
-     * 保证路径上每个区块都与已占领领土（含己方领土、本次会话新占领）接壤，
+     *   <li>起始扫描线 = 矩形四条边中<b>离王城直线距离最近</b>的那条边（点到线段距离），
-     * 矩形内已占领的区块自动跳过、不重复占领。
+     *       从该边向对边单调推进——即"由内而外"，避免先跑到区域外侧绕圈；</li>
+     *   <li>扫描行/列内做标准蛇形往返（相邻行方向交替），即使待开垦区块构成不规则多边形，
+     *       也始终按 S 形顺序一路扫过去，跳过暂时不可开垦的区块而不打乱顺序；</li>
+     *   <li>首条扫描线的行内起始端同样选取离王城更近的一端；</li>
+     *   <li>每个入选区块必须与"己方领土（含本次已选）"四正方向接壤，保证服务器接受开拓。</li>
+     * </ul>
+     * 复杂度：O(区域面积) 单遍扫描 + O(4) 接壤检查。</p>
      */
     private List<ChunkPos> generateRectangle(TerritoryModel model, ExpansionConfig config, ChunkPos playerChunk) {
         Set<ChunkPos> actualOwn = this.ownChunks(model);
@@ -209,139 +244,84 @@ public final class ExpansionPlanner {
         int minZ = config.regionMinZ;
         int maxZ = config.regionMaxZ;
         int limit = config.targetCount > 0 ? config.targetCount : Integer.MAX_VALUE;
-        // 找出矩形内所有与己方领土接壤的未占领区块（作为 S 形起点候选）
+        ChunkPos capital = this.capital(model, playerChunk);
-        ArrayList<ChunkPos> borderChunks = new ArrayList<ChunkPos>();
+        // ===== 1. 四条边到王城的距离（点到线段距离的平方），选最近者为起始边 =====
-        for (int x = minX; x <= maxX; ++x) {
+        // 王城坐标投影到边所在线段的横向偏移（王城在区域横向范围外时才有偏移）
-            for (int z = minZ; z <= maxZ; ++z) {
+        int dxEdge = Math.max(0, Math.max(minX - capital.x(), capital.x() - maxX));
-                ChunkPos chunk = new ChunkPos(x, z);
+        int dzEdge = Math.max(0, Math.max(minZ - capital.z(), capital.z() - maxZ));
-                if (allClaimed.contains(chunk)) continue;
+        long distNorth = (long)dxEdge * dxEdge + (long)(minZ - capital.z()) * (minZ - capital.z());
-                if (this.ownNeighbors(chunk, actualOwn) > 0) {
+        long distSouth = (long)dxEdge * dxEdge + (long)(maxZ - capital.z()) * (maxZ - capital.z());
-                    borderChunks.add(chunk);
+        long distWest = (long)(minX - capital.x()) * (minX - capital.x()) + (long)dzEdge * dzEdge;
-                }
+        long distEast = (long)(maxX - capital.x()) * (maxX - capital.x()) + (long)dzEdge * dzEdge;
-            }
+        // 最近边决定扫描方向：北/南边最近 → 横向逐行扫（行沿 Z 推进）；西/东边最近 → 纵向逐列扫
-        }
+        boolean rowScan = Math.min(distNorth, distSouth) <= Math.min(distWest, distEast);
-        if (borderChunks.isEmpty()) {
+        // ===== 2. 生成 S 形扫描序列并按接壤过滤 =====
-            return List.of();
+        // 接壤判断集合：己方领土 + 本次已选区块。
-        }
+        // 注意：绝不能把其他邦国领土（allClaimed）混入接壤判断集合，
-        // 选择起点：优先矩形角落附近与领土接壤的区块，使 S 形能自然覆盖整个矩形
+        // 否则会选中"挨着其他邦国、但与己方领土不相邻"的区块，服务器会拒绝开拓（历史 bug）。
-        ChunkPos start = this.chooseStart(borderChunks, minX, maxX, minZ, maxZ);
-        // 生成 S 形扫描路径（覆盖矩形内所有区块，含已占领的）
-        List<ChunkPos> sPath = this.buildSPath(start, minX, maxX, minZ, maxZ);
-        // 己方领土集合（含本次规划已纳入的区块）。
-        // 注意：这里绝不能把其他邦国的领土（allClaimed）混入接壤判断集合，
-        // 否则会选中一个“挨着其他邦国、但与己方领土不相邻”的区块，
-        // 服务器会因不接壤而拒绝开拓，导致玩家反复走到无效目标（历史 bug）。
         HashSet<ChunkPos> claimed = new HashSet<ChunkPos>(actualOwn);
         ArrayList<ChunkPos> result = new ArrayList<ChunkPos>();
-        for (ChunkPos chunk : sPath) {
+        if (rowScan) {
-            if (result.size() >= limit) break;
+            // 行序：从离王城近的边（z=minZ 或 maxZ）向对边推进；首行行内起点选离王城 x 近的一端
-            // 已被任何邦国（含己方）占领，或本次规划已纳入：跳过，避免重复/跨邦国开拓
+            int startRow = distNorth <= distSouth ? minZ : maxZ;
-            if (allClaimed.contains(chunk) || claimed.contains(chunk)) continue;
+            int rowStep = startRow == minZ ? 1 : -1;
-            // 必须与“己方”领土接壤（含本次已纳入的区块），保证服务器能成功开拓
+            boolean ltr = Math.abs(capital.x() - minX) <= Math.abs(capital.x() - maxX);
-            if (this.ownNeighbors(chunk, claimed) == 0) continue;
+            for (int row = startRow; row >= minZ && row <= maxZ; row += rowStep) {
-            result.add(chunk);
+                if (ltr) {
-            claimed.add(chunk);
+                    for (int x = minX; x <= maxX; ++x) {
+                        this.tryClaimRect(result, claimed, allClaimed, x, row, limit);
+                    }
+                } else {
+                    for (int x = maxX; x >= minX; --x) {
+                        this.tryClaimRect(result, claimed, allClaimed, x, row, limit);
+                    }
+                }
+                ltr = !ltr;
+                if (result.size() >= limit) {
+                    return result;
+                }
+            }
+        } else {
+            // 列序：从离王城近的边（x=minX 或 maxX）向对边推进；首列列内起点选离王城 z 近的一端
+            int startCol = distWest <= distEast ? minX : maxX;
+            int colStep = startCol == minX ? 1 : -1;
+            boolean ttb = Math.abs(capital.z() - minZ) <= Math.abs(capital.z() - maxZ);
+            for (int col = startCol; col >= minX && col <= maxX; col += colStep) {
+                if (ttb) {
+                    for (int z = minZ; z <= maxZ; ++z) {
+                        this.tryClaimRect(result, claimed, allClaimed, col, z, limit);
+                    }
+                } else {
+                    for (int z = maxZ; z >= minZ; --z) {
+                        this.tryClaimRect(result, claimed, allClaimed, col, z, limit);
+                    }
+                }
+                ttb = !ttb;
+                if (result.size() >= limit) {
+                    return result;
+                }
+            }
         }
         return result;
     }
 
     /**
-     * 从接壤候选区块中选择 S 形扫描的起点：
+     * S 形扫描中的一个格子：若该区块未被任何邦国占领、且与"己方领土（含本次已选）"接壤，
-     * 优先选择矩形角落上的接壤区块；没有角落接壤时，选择离任一角落最近的接壤区块。
+     * 则纳入本次扩张计划；否则跳过（保持 S 形顺序一路扫过去，跳过的不打乱后续顺序）。
      */
-    private ChunkPos chooseStart(List<ChunkPos> borderChunks, int minX, int maxX, int minZ, int maxZ) {
+    private void tryClaimRect(List<ChunkPos> result, Set<ChunkPos> claimed, Set<ChunkPos> allClaimed, int x, int z, int limit) {
-        ChunkPos[] corners = new ChunkPos[]{new ChunkPos(minX, minZ), new ChunkPos(maxX, minZ), new ChunkPos(minX, maxZ), new ChunkPos(maxX, maxZ)};
+        if (result.size() >= limit) {
-        for (ChunkPos corner : corners) {
+            return;
-            if (borderChunks.contains(corner)) {
-                return corner;
         }
+        ChunkPos chunk = new ChunkPos(x, z);
+        if (allClaimed.contains(chunk) || claimed.contains(chunk)) {
+            return;
         }
-        ChunkPos best = null;
+        if (this.ownNeighbors(chunk, claimed) == 0) {
-        int bestDist = Integer.MAX_VALUE;
+            return;
-        for (ChunkPos chunk : borderChunks) {
-            for (ChunkPos corner : corners) {
-                int dist = Math.abs(chunk.x() - corner.x()) + Math.abs(chunk.z() - corner.z());
-                if (dist < bestDist) {
-                    bestDist = dist;
-                    best = chunk;
-                }
-            }
-        }
-        return best;
-    }
-
-    /**
-     * 生成从起点开始的 S 形扫描路径，覆盖矩形内所有区块。
-     *
-     * <p>扫描主轴根据起点所在边缘决定：起点在顶/底行时横向逐行扫描，
-     * 起点在左/右列时纵向逐列扫描。每行/列内方向交替反向，形成 S 形。
-     * 起点所在行/列从起点向两侧铺开，保证起点是路径第一个区块。
-     */
-    private List<ChunkPos> buildSPath(ChunkPos start, int minX, int maxX, int minZ, int maxZ) {
-        ArrayList<ChunkPos> path = new ArrayList<ChunkPos>();
-        boolean horizontal = start.z() == minZ || start.z() == maxZ;
-        if (horizontal) {
-            int startRow = start.z();
-            // 起点行：从起点向一侧到边缘，再反向到另一侧，完整覆盖该行
-            boolean leftToRight = start.x() == minX;
-            if (leftToRight) {
-                for (int x = start.x(); x <= maxX; ++x) path.add(new ChunkPos(x, startRow));
-                for (int x = start.x() - 1; x >= minX; --x) path.add(new ChunkPos(x, startRow));
-            } else {
-                for (int x = start.x(); x >= minX; --x) path.add(new ChunkPos(x, startRow));
-                for (int x = start.x() + 1; x <= maxX; ++x) path.add(new ChunkPos(x, startRow));
-            }
-            // 其余行：先向下（+z）再向上（-z），每行方向交替，形成 S 形
-            boolean ltr = leftToRight;
-            for (int z = startRow + 1; z <= maxZ; ++z) {
-                this.appendRow(path, z, minX, maxX, ltr);
-                ltr = !ltr;
-            }
-            for (int z = startRow - 1; z >= minZ; --z) {
-                this.appendRow(path, z, minX, maxX, ltr);
-                ltr = !ltr;
-            }
-        } else {
-            int startCol = start.x();
-            // 起点列：从起点向一侧到边缘，再反向到另一侧，完整覆盖该列
-            boolean topToBottom = start.z() == minZ;
-            if (topToBottom) {
-                for (int z = start.z(); z <= maxZ; ++z) path.add(new ChunkPos(startCol, z));
-                for (int z = start.z() - 1; z >= minZ; --z) path.add(new ChunkPos(startCol, z));
-            } else {
-                for (int z = start.z(); z >= minZ; --z) path.add(new ChunkPos(startCol, z));
-                for (int z = start.z() + 1; z <= maxZ; ++z) path.add(new ChunkPos(startCol, z));
-            }
-            // 其余列：先向右（+x）再向左（-x），每列方向交替，形成 S 形
-            boolean ttb = topToBottom;
-            for (int x = startCol + 1; x <= maxX; ++x) {
-                this.appendCol(path, x, minZ, maxZ, ttb);
-                ttb = !ttb;
-            }
-            for (int x = startCol - 1; x >= minX; --x) {
-                this.appendCol(path, x, minZ, maxZ, ttb);
-                ttb = !ttb;
-            }
-        }
-        return path;
-    }
-
-    /** 追加一行区块到路径（leftToRight=true 时从左到右，否则从右到左） */
-    private void appendRow(List<ChunkPos> path, int row, int minX, int maxX, boolean leftToRight) {
-        if (leftToRight) {
-            for (int x = minX; x <= maxX; ++x) path.add(new ChunkPos(x, row));
-        } else {
-            for (int x = maxX; x >= minX; --x) path.add(new ChunkPos(x, row));
-        }
-    }
-
-    /** 追加一列区块到路径（topToBottom=true 时从上到下，否则从下到上） */
-    private void appendCol(List<ChunkPos> path, int col, int minZ, int maxZ, boolean topToBottom) {
-        if (topToBottom) {
-            for (int z = minZ; z <= maxZ; ++z) path.add(new ChunkPos(col, z));
-        } else {
-            for (int z = maxZ; z >= minZ; --z) path.add(new ChunkPos(col, z));
         }
+        result.add(chunk);
+        claimed.add(chunk);
     }
 
     /** 在候选集中找到离当前游标最近的一个区块（曼哈顿距离），作为推进的前沿 */

src/main/java/autostore/client/territory/TerritoryDataService.java

@@ -74,8 +74,20 @@ public final class TerritoryDataService {
      * <p>占领成功后，服务器动态地图（Dynmap/markers.json）可能尚未同步该区块，
      * 因此在宽限期内即使地图未确认也先保留"会话占领"标记，避免刚占领的区块被误判为假占领。
      * 超过宽限期仍未在地图中确认的，视为未真正占领并丢弃，使空洞区块能重新进入规划。
+     * （v1.2.1 由 120 秒缩短为 60 秒：配合请求侧缓存击穿，Dynmap 秒级同步，缩短可更快修正假占领）</p>
      */
-    private static final long CLAIM_CONFIRM_GRACE_MS = 120_000L;
+    private static final long CLAIM_CONFIRM_GRACE_MS = 60_000L;
+    /**
+     * ChunkPos 驻留池：坐标 → 复用实例。
+     *
+     * <p>每次解析 markers.json 会创建约 8 万个 ChunkPos，且各次刷新的坐标高度重合。
+     * 驻留后新旧模型共享同一批实例，刷新时垃圾量从"整份模型"降为"集合外壳"，
+     * 显著降低 GC 压力（缓解刷新时游戏卡顿与内存占用）。</p>
+     */
+    private static final ConcurrentHashMap<Long, ChunkPos> CHUNK_POOL = new ConcurrentHashMap<Long, ChunkPos>();
+    /** 上次成功响应的正文哈希与长度，用于识别"网络缓存返回了相同旧数据"并跳过重复解析 */
+    private volatile int lastBodyHash;
+    private volatile int lastBodyLength = -1;
 
     public TerritoryDataService() {
         this.executor = TerritoryDataService.newExecutor();
@@ -129,12 +141,28 @@ public final class TerritoryDataService {
         this.executor.execute(() -> {
             this.lastAttemptMillis = System.currentTimeMillis();
             try {
-                HttpRequest request = HttpRequest.newBuilder(URI.create(MARKERS_URL)).timeout(Duration.ofSeconds(15L)).header("User-Agent", "Mozilla/5.0 autostore/1.0").GET().build();
+                // 请求侧缓存击穿：URL 追加时间戳参数 + no-cache 头，确保每次都拿到服务器最新数据。
+                // 此前约半数刷新命中网络缓存拿到旧数据，导致会话占领迟迟无法被地图确认/纠正。
+                String url = MARKERS_URL + "?_=" + System.currentTimeMillis();
+                HttpRequest request = HttpRequest.newBuilder(URI.create(url)).timeout(Duration.ofSeconds(15L))
+                    .header("User-Agent", "Mozilla/5.0 autostore/1.2.1")
+                    .header("Cache-Control", "no-cache, no-store")
+                    .header("Pragma", "no-cache").GET().build();
                 HttpResponse<String> response = this.httpClient.send(request, HttpResponse.BodyHandlers.ofString(StandardCharsets.UTF_8));
                 if (response.statusCode() < 200 || response.statusCode() >= 300) {
                     this.lastError = "HTTP " + response.statusCode();
                     return;
                 }
+                String body = response.body();
+                // 内容未变化（服务器确实无更新，或缓存仍命中相同旧文）：跳过重复解析，
+                // 避免"每次刷新都重建 8 万区块模型"的 CPU/GC 开销；模型与飞地缓存保持原样。
+                if (body.length() == this.lastBodyLength && body.hashCode() == this.lastBodyHash) {
+                    this.lastSuccessfulFetchMillis = System.currentTimeMillis();
+                    this.lastError = "";
+                    return;
+                }
+                this.lastBodyHash = body.hashCode();
+                this.lastBodyLength = body.length();
                 TerritoryModel parsed = TerritoryDataService.parse(response.body());
                 TerritoryModel previous = this.model;
                 if (previous != null) {
@@ -160,6 +188,9 @@ public final class TerritoryDataService {
                     }
                 }
                 parsed.setSelfStateName(this.selectedStateName);
+                // 后台线程预计算飞地缓存：把"各国外接矩形全量扫描"从渲染帧挪到这里，
+                // 修复"刷新地图/打开 GUI 时游戏卡一下"的问题
+                parsed.precomputeFlyingChunks();
                 this.model = parsed;
                 this.lastSuccessfulFetchMillis = System.currentTimeMillis();
                 this.lastError = "";
@@ -269,9 +300,9 @@ public final class TerritoryDataService {
             return;
         }
         Set chunks = claims.computeIfAbsent(name, ignored -> new HashSet());
-        for (List<int[]> polygon : TerritoryDataService.extractPolygons(marker.get("points"))) {
+        // 一个 marker 的多个多边形遵循 dynmap 的 even-odd 填充规则：
-            TerritoryDataService.fillPolygon(chunks, polygon);
+        // 外圈为正，内圈多边形（国中飞地的边界）作为孔洞被减去，而非作为独立领土并集填充。
-        }
+        TerritoryDataService.fillPolygonEvenOdd(chunks, TerritoryDataService.extractPolygons(marker.get("points")));
         colors.putIfAbsent(name, TerritoryDataService.parseColor(TerritoryDataService.stringOr(marker, "color", "#75bd20")));
     }
 
@@ -337,33 +368,57 @@ public final class TerritoryDataService {
     }
 
     /**
-     * 将多边形覆盖的区块填充进集合：
+     * 将多边形组覆盖的区块按 even-odd 规则填充进集合。
-     * 先算出多边形外接矩形（换算为区块坐标），再逐区块用"点在多边形内"算法判断，
+     *
-     * 以区块中心点（cx*16+8, cz*16+8）是否落在多边形内为准。
+     * <p>一个 marker 里的多个多边形遵循 dynmap 的奇偶填充：区块落入<b>奇数个</b>多边形内时才视为领土；
-     * 面积超过 600 万区块时直接放弃，防止异常数据导致卡死。
+     * 这样内圈多边形（国中飞地/孔洞的边界）会被正确减去，而不是像并集那样把孔洞也填成领土。</p>
+     *
+     * @param output 输出集合（该邦国的区块集合）
+     * @param polygons 该 marker 的全部多边形，第一个为外圈、可为多个内圈孔洞
      */
-    private static void fillPolygon(Set<ChunkPos> output, List<int[]> polygon) {
+    private static void fillPolygonEvenOdd(Set<ChunkPos> output, List<List<int[]>> polygons) {
-        int area;
+        if (polygons.isEmpty()) {
+            return;
+        }
         int minX = Integer.MAX_VALUE;
         int maxX = Integer.MIN_VALUE;
         int minZ = Integer.MAX_VALUE;
         int maxZ = Integer.MIN_VALUE;
+        for (List<int[]> polygon : polygons) {
             for (int[] point : polygon) {
                 minX = Math.min(minX, Math.floorDiv(point[0], 16));
                 maxX = Math.max(maxX, Math.floorDiv(point[0], 16));
                 minZ = Math.min(minZ, Math.floorDiv(point[1], 16));
                 maxZ = Math.max(maxZ, Math.floorDiv(point[1], 16));
             }
-        int n = area = ((maxX - minX) + 1L) * ((maxZ - minZ) + 1L) > Integer.MAX_VALUE ? Integer.MAX_VALUE : (maxX - minX + 1) * (maxZ - minZ + 1);
+        }
-        if (area > 6000000) {
+        // 面积超过 600 万区块时直接放弃，防止异常数据导致卡死
+        if ((long)(maxX - minX + 1) * (maxZ - minZ + 1) > 6000000L) {
             return;
         }
         for (int cx = minX; cx <= maxX; ++cx) {
             for (int cz = minZ; cz <= maxZ; ++cz) {
-                if (!TerritoryDataService.pointInPolygon(cx * 16 + 8, cz * 16 + 8, polygon)) continue;
+                // 奇偶填充：落在奇数个多边形内则为领土；否则（含恰好落在偶数个内圈孔洞中）忽略
-                output.add(new ChunkPos(cx, cz));
+                boolean inside = false;
+                for (List<int[]> polygon : polygons) {
+                    if (TerritoryDataService.pointInPolygon(cx * 16 + 8, cz * 16 + 8, polygon)) {
+                        inside = !inside;
                     }
                 }
+                if (inside) {
+                    output.add(TerritoryDataService.internChunk(cx, cz));
+                }
+            }
+        }
+    }
+
+    /**
+     * 驻留池获取区块坐标实例：同一坐标跨模型复用同一对象。
+     * 刷新频率下大幅减少 ChunkPos 临时分配与 GC 压力（见 {@link #CHUNK_POOL}）。
+     */
+    private static ChunkPos internChunk(int x, int z) {
+        long key = (long)x << 32 | (long)z & 0xFFFFFFFFL;
+        return TerritoryDataService.CHUNK_POOL.computeIfAbsent(key, k -> new ChunkPos(x, z));
     }
 
     /** 射线法判断点 (x, z) 是否在多边形内（经典奇偶规则） */

src/main/java/autostore/client/territory/TerritoryModel.java

@@ -35,6 +35,18 @@ public final class TerritoryModel {
     private final Set<ChunkPos> sessionClaims;
     /** 当前选中的己方邦国名称 */
     private String selfStateName = "";
+    /**
+     * 飞地（疏漏区块）缓存：邦国名 → 该国飞地区块集合。
+     *
+     * <p>飞地指"四周（四个正方向）都被同一邦国占领、但自身未被占领"的区块，
+     * 通常是自动扩地时漏掉的疏漏。该结果在模型构建后懒计算并缓存，
+     * 仅在新增会话占领（addSessionClaim）后失效重算。
+     * 字段为 volatile：后台线程可调用 {@link #precomputeFlyingChunks()} 预热，
+     * 渲染线程读取时保证可见性，避免把全量扫描留在渲染帧里（卡顿来源）。</p>
+     */
+    private transient volatile Map<String, Set<ChunkPos>> cachedFlyingChunks;
+    /** 所有邦国飞地的合并并集缓存（volatile，同上）；仅少量区块，供 GUI 直接遍历 */
+    private transient volatile Set<ChunkPos> cachedAllFlyingChunks;
 
     public TerritoryModel(Map<String, TerritoryState> states) {
         this.states = new HashMap<String, TerritoryState>(states);
@@ -94,6 +106,95 @@ public final class TerritoryModel {
         return null;
     }
 
+    /**
+     * 返回所有邦国的飞地（疏漏区块）并集（只读视图，结果缓存，帧间零分配）。
+     *
+     * <p>飞地指“四周（四个正方向）都被同一邦国占领、但自身未被占领”的区块。
+     * 这些往往是自动扩地过程中漏掉的疏漏，需要在地图上标出并优先填补。</p>
+     */
+    public Set<ChunkPos> flyingChunks() {
+        Set<ChunkPos> cached = this.cachedAllFlyingChunks;
+        if (cached != null) {
+            return cached;
+        }
+        HashSet<ChunkPos> result = new HashSet<ChunkPos>();
+        for (Set<ChunkPos> chunks : this.flyingChunksByState().values()) {
+            result.addAll(chunks);
+        }
+        Set<ChunkPos> frozen = Collections.unmodifiableSet(result);
+        this.cachedAllFlyingChunks = frozen;
+        return frozen;
+    }
+
+    /** 返回己方邦国的飞地（疏漏区块）（只读视图）；未选择邦国时为空集 */
+    public Set<ChunkPos> selfFlyingChunks() {
+        return Collections.unmodifiableSet(this.flyingChunksByState().getOrDefault(this.selfStateName, Set.of()));
+    }
+
+    /**
+     * 后台预计算飞地缓存（在数据刷新线程调用）：
+     * 把"各国外接矩形全量扫描"提前到后台线程完成，
+     * 渲染线程读到的永远是现成缓存，避免模型刷新后第一帧卡顿。
+     */
+    public void precomputeFlyingChunks() {
+        this.flyingChunks();
+    }
+
+    /** 计算并缓存各邦国的飞地区块（懒加载，addSessionClaim 后失效重算） */
+    private Map<String, Set<ChunkPos>> flyingChunksByState() {
+        Map<String, Set<ChunkPos>> cached = this.cachedFlyingChunks;
+        if (cached != null) {
+            return cached;
+        }
+        HashMap<String, Set<ChunkPos>> map = new HashMap<String, Set<ChunkPos>>();
+        for (TerritoryState state : this.states.values()) {
+            map.put(state.name(), this.computeFlyingChunks(state.chunks()));
+        }
+        this.cachedFlyingChunks = map;
+        return map;
+    }
+
+    /**
+     * 计算某邦国的全部飞地区块：
+     * 在该邦国的外接矩形内，找出“未被任何邦国占领、但四个正方向均属于该邦国”的区块。
+     */
+    private Set<ChunkPos> computeFlyingChunks(Set<ChunkPos> own) {
+        HashSet<ChunkPos> result = new HashSet<ChunkPos>();
+        if (own.isEmpty()) {
+            return result;
+        }
+        int minX = Integer.MAX_VALUE;
+        int maxX = Integer.MIN_VALUE;
+        int minZ = Integer.MAX_VALUE;
+        int maxZ = Integer.MIN_VALUE;
+        for (ChunkPos chunk : own) {
+            minX = Math.min(minX, chunk.x());
+            maxX = Math.max(maxX, chunk.x());
+            minZ = Math.min(minZ, chunk.z());
+            maxZ = Math.max(maxZ, chunk.z());
+        }
+        for (int cx = minX; cx <= maxX; ++cx) {
+            for (int cz = minZ; cz <= maxZ; ++cz) {
+                ChunkPos chunk = new ChunkPos(cx, cz);
+                if (own.contains(chunk) || this.allClaimed.contains(chunk)) {
+                    continue;
+                }
+                if (this.surroundedBySameState(chunk, own)) {
+                    result.add(chunk);
+                }
+            }
+        }
+        return result;
+    }
+
+    /** 判断区块的四个正方向邻居是否全部属于给定邦国的区块集合 */
+    private boolean surroundedBySameState(ChunkPos chunk, Set<ChunkPos> own) {
+        return own.contains(new ChunkPos(chunk.x() + 1, chunk.z()))
+            && own.contains(new ChunkPos(chunk.x() - 1, chunk.z()))
+            && own.contains(new ChunkPos(chunk.x(), chunk.z() + 1))
+            && own.contains(new ChunkPos(chunk.x(), chunk.z() - 1));
+    }
+
     /**
      * 记录一次会话内新占领的区块：
      * 加入会话集合与全局已占领集合，并同步更新己方邦国的区块集合。
@@ -101,6 +202,8 @@ public final class TerritoryModel {
     public void addSessionClaim(ChunkPos chunk) {
         this.sessionClaims.add(chunk);
         this.allClaimed.add(chunk);
+        this.cachedFlyingChunks = null;
+        this.cachedAllFlyingChunks = null;
         TerritoryState self = this.states.get(this.selfStateName);
         if (self != null) {
             HashSet<ChunkPos> updated = new HashSet<ChunkPos>(self.chunks());

src/main/resources/fabric.mod.json

@@ -1 +1 @@
-{"schemaVersion":1,"id":"autostore","version":"1.1.9","name":"AutoStore","description":"","authors":[],"contact":{},"license":"All-Rights-Reserved","environment":"client","entrypoints":{"fabric-datagen":["autostore.client.AutoStoreModDataGenerator"],"client":["autostore.client.AutoStoreModClient"],"main":["autostore.AutoStoreMod"]},"mixins":["autostore.mixins.json",{"config":"autostore.client.mixins.json","environment":"client"}],"depends":{"fabricloader":">=0.16.14","fabric-api":"*","minecraft":"1.21.4"},"jars":[{"file":"META-INF/jars/baritone-api-fabric-1.13.1.jar"}]}
+{"schemaVersion":1,"id":"autostore","version":"1.2.1","name":"AutoStore","description":"","authors":[],"contact":{},"license":"All-Rights-Reserved","environment":"client","entrypoints":{"fabric-datagen":["autostore.client.AutoStoreModDataGenerator"],"client":["autostore.client.AutoStoreModClient"],"main":["autostore.AutoStoreMod"]},"mixins":["autostore.mixins.json",{"config":"autostore.client.mixins.json","environment":"client"}],"depends":{"fabricloader":">=0.16.14","fabric-api":"*","minecraft":"1.21.4"},"jars":[{"file":"META-INF/jars/baritone-api-fabric-1.13.1.jar"}]}