import { useState, useEffect, useRef, useCallback } from "react";

const 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";
const 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";

const BS={
  armory_built:[318,437,81,55,44,35],bakery_built:[397,571,68,61,33,51],
  barracks_built:[116,0,67,53,32,39],brewery_built:[146,437,78,67,39,49],
  catapult_built:[32,300,69,42,40,32],
  coal_mine_built:[0,225,64,51,21,40],donkey_breeder_built:[128,799,107,64,56,52],
  farm_built:[341,718,113,74,56,70],fishery_built:[373,300,68,53,33,36],
  forester_built:[177,372,65,47,35,37],fortress_built:[77,132,117,91,70,78],
  gold_mine_built:[313,225,64,59,24,46],granite_mine_built:[349,132,63,63,24,47],
  guardhouse_built:[271,0,67,79,32,65],
  headquarters_built:[0,0,114,130,71,116],hunter_built:[0,437,65,58,32,45],
  iron_mine_built:[156,225,64,64,22,52],iron_smelter_built:[179,506,72,62,30,46],
  lookout_tower_built:[469,225,30,73,19,65],metalworks_built:[0,506,82,63,37,46],
  mill_built:[286,571,47,76,26,62],sawmill_built:[76,649,88,59,45,49],
  pig_farm_built:[338,506,100,58,52,49],quarry_built:[17,372,73,50,35,35],
  mint_built:[273,649,90,67,45,53],shipyard_built:[155,718,81,79,39,74],
  slaughterhouse_built:[323,372,73,63,31,48],storehouse_built:[114,571,75,72,37,52],
  watchtower_built:[427,0,60,96,36,83],well_built:[0,718,70,63,39,48],
  woodcutter_built:[193,300,82,49,43,37],
};

const LS={
  birch:[323,0,33,60,13,57],birch_f1:[358,0,32,60,12,57],birch_f2:[392,0,32,60,12,57],
  birch_f3:[426,0,31,60,12,57],
  border_post:[0,0,11,11,3,10],
  bq_castle:[103,0,31,31,14,29],bq_flag:[25,0,17,32,7,30],bq_house:[69,0,32,28,15,26],
  bq_hut:[44,0,23,27,10,25],bq_mine:[136,0,24,29,11,27],
  cherry:[276,74,49,46,23,43],cypress:[151,74,45,44,21,41],fir:[231,74,43,38,21,35],
  ic_armory:[324,132,32,21,16,10],ic_bakery:[21,166,32,29,16,14],
  ic_barracks:[327,74,32,25,16,12],ic_brewery:[290,132,32,27,16,13],
  ic_coal_mine:[480,74,32,17,16,8],ic_donkey_breeder:[225,166,32,19,16,9],
  ic_farm:[191,166,32,21,16,10],ic_fishery:[120,132,32,25,16,12],
  ic_forester:[188,132,32,23,16,11],ic_fortress:[412,74,32,25,16,12],
  ic_gold_mine:[34,132,32,20,16,10],ic_granite_mine:[446,74,32,20,16,10],
  ic_guardhouse:[361,74,27,32,13,16],ic_hunter:[256,132,32,29,16,14],
  ic_iron_mine:[0,132,32,16,16,8],ic_iron_smelter:[392,132,32,27,16,13],
  ic_lookout_tower:[68,132,16,32,8,16],ic_metalworks:[358,132,32,25,16,12],
  ic_mill:[0,166,19,32,9,16],ic_mint:[89,166,32,24,16,12],
  ic_pig_farm:[426,132,32,19,16,9],ic_quarry:[154,132,32,22,16,11],
  ic_sawmill:[55,166,32,21,16,10],ic_shipyard:[157,166,32,31,16,15],
  ic_slaughterhouse:[222,132,32,28,16,14],ic_storehouse:[460,132,32,31,16,15],
  ic_watchtower:[390,74,20,32,10,16],ic_well:[123,166,32,29,16,14],
  ic_woodcutter:[86,132,32,19,16,9],
  oak:[459,0,48,56,24,53],oak_f1:[0,74,48,56,24,53],oak_f2:[50,74,49,56,24,53],
  oak_f3:[101,74,48,56,24,53],
  palm:[198,74,31,49,20,46],
  pine:[162,0,38,72,19,69],pine_f1:[202,0,38,72,19,69],pine_f2:[242,0,39,72,20,69],
  pine_f3:[283,0,38,72,19,69],
  road_flag:[13,0,10,9,3,8],
};

const TW=64,TH=36,TICK_MS=200,PROD_TICKS=4,HQ_RAD=4,MIL_RAD=3;
const CANVAS_W=960,CANVAS_H=580,SCROLL_STEP=100;
let COLS=16,ROWS=14;
const HEIGHT_FACTOR=5;

const VERSION='v0.10';

// Zoom limits
const ZOOM_MIN=0.25,ZOOM_MAX=2.0,ZOOM_STEP=0.1;
// Edge scroll
const EDGE_SIZE=40,EDGE_SPEED=8;
// Minimap
const MINIMAP_W=200,MINIMAP_H=100,MINIMAP_MARGIN=12;

// Viewport — single source of truth for camera position and zoom
const viewport={offsetX:0,offsetY:0,scale:1.0};
// Track last mouse position for edge scrolling
const lastMousePos={x:-1,y:-1};

// ── Coordinate conversion ──────────────────────────────────────────
function screenToWorld(sx,sy,vp){return{wx:sx/vp.scale+vp.offsetX,wy:sy/vp.scale+vp.offsetY};}
function worldToScreen(wx,wy,vp){return{sx:(wx-vp.offsetX)*vp.scale,sy:(wy-vp.offsetY)*vp.scale};}

// ── Scroll clamping ────────────────────────────────────────────────
function clampOffset(value,axis){
  const isoW=(COLS+ROWS)*TW/2,isoH=(COLS+ROWS)*TH/2;
  const viewW=CANVAS_W/viewport.scale,viewH=CANVAS_H/viewport.scale;
  const margin=viewW/2;
  if(axis==='x') return Math.max(-margin,Math.min(value,Math.max(-margin,isoW-margin)));
  if(axis==='y') return Math.max(-viewH/2,Math.min(value,Math.max(-viewH/2,isoH-viewH/2)));
  return value;
}

// ── Sprite LOD helpers ─────────────────────────────────────────────
function shouldDrawSprites(){return viewport.scale>=0.5;}
function shouldDrawFigures(){return viewport.scale>=0.75;}

function applyEdgeScroll(){
  const{x:mx,y:my}=lastMousePos;
  if(mx<0) return false;
  let dx=0,dy=0;
  if(mx<EDGE_SIZE)                  dx=-EDGE_SPEED*(1-mx/EDGE_SIZE);
  if(mx>CANVAS_W-EDGE_SIZE)         dx= EDGE_SPEED*(1-(CANVAS_W-mx)/EDGE_SIZE);
  if(my<EDGE_SIZE)                  dy=-EDGE_SPEED*(1-my/EDGE_SIZE);
  if(my>CANVAS_H-EDGE_SIZE)         dy= EDGE_SPEED*(1-(CANVAS_H-my)/EDGE_SIZE);
  if(dx!==0||dy!==0){
    viewport.offsetX=clampOffset(viewport.offsetX+dx/viewport.scale,'x');
    viewport.offsetY=clampOffset(viewport.offsetY+dy/viewport.scale,'y');
    return true;
  }
  return false;
}
const T={GRASS:0,FOREST:1,MOUNTAIN:2,WATER:3,SAND:4,MEADOW:5};

// ── WLD map loader helpers ──────────────────────────────────────────
function mapTerrain(id){
  if([1,11,12,13,34].includes(id)) return 'mountain';
  if(id===2) return 'snow';
  if([3,5,6,16,19,22].includes(id)) return 'water';
  return 'grass';
}
function decodeResource(byte){
  if(byte===0x21) return{type:'water',amount:1};
  if(byte===0x87) return{type:'fish',amount:1};
  const amount=byte&0x07,kind=byte&0xF8;
  if(kind===0x40) return{type:'coal',amount};
  if(kind===0x48) return{type:'ironOre',amount};
  if(kind===0x50) return{type:'gold',amount};
  if(kind===0x58) return{type:'granite',amount};
  return null;
}
function decodeObject(indexByte,typeByte){
  if(indexByte>=0xC4&&indexByte<=0xC6){
    const species=['pine','birch','oak','palm','pine2','fir','cypress','cherry'][typeByte&0x07];
    const size=(typeByte>>3)&0x07;
    return{kind:'tree',species,size};
  }
  if(indexByte>=0xCC&&indexByte<=0xCE) return{kind:'granite',size:indexByte-0xCC};
  return null;
}
function parseWLDMap(arrayBuffer){
  const dv=new DataView(arrayBuffer);
  let offset=0;
  const fileId=String.fromCharCode(...new Uint8Array(arrayBuffer,0,10));
  if(fileId!=='WORLD_V1.0') throw new Error('Not a valid Settlers II map file');
  offset=10;
  let title='';
  while(dv.getUint8(offset)!==0) title+=String.fromCharCode(dv.getUint8(offset++));
  offset++;
  const terrainType=dv.getUint8(offset++);
  const playerCount=dv.getUint8(offset++);
  const hqPositions=[];
  for(let i=0;i<7;i++){
    const x=dv.getUint16(offset,true),y=dv.getUint16(offset+2,true);
    offset+=4;
    if(!(x===0xFFFF&&y===0xFFFF)) hqPositions.push({x,y});
  }
  // Header ends with: uint16 0x2711 sig, uint32 unknown=0, uint16 width, uint16 height
  // Normal maps: sig at byte 2342 → width at 2348; some buggy maps have an extra uint16=0 before sig (hasExtraWord)
  offset=(dv.getUint16(2342,true)===0x2711)?2348:2350;
  const width=dv.getUint16(offset,true);offset+=2;
  const height=dv.getUint16(offset,true);offset+=2;
  console.log(`[WLD] File size: ${arrayBuffer.byteLength}, reading dimensions at offset ${offset-4}: ${width}×${height}`);
  if(width===0||height===0||width>512||height>512||width%16!==0||height%16!==0){
    throw new Error(`Invalid map dimensions: ${width}×${height} (read at file offset ${offset-4}). Expected multiples of 16 up to 512.`);
  }
  const nodeCount=width*height;
  const blocks=[];
  for(let b=0;b<14;b++){
    // Block sub-header: uint16 id(2) + uint32 unknown(4) + uint16 w(2) + uint16 h(2) + uint16 multiplier(2) + uint32 blockLength(4) = 16 bytes
    const blockLen=dv.getUint32(offset+12,true);
    if(blockLen>width*height*2){// max 2 bytes per node
      throw new Error(`Block ${b} has invalid length ${blockLen} (map is ${width}×${height} = ${width*height} nodes). File may be corrupt or offset is wrong.`);
    }
    offset+=16;
    blocks.push(new Uint8Array(arrayBuffer,offset,blockLen));
    offset+=blockLen;
  }
  const nodes=[];
  for(let i=0;i<nodeCount;i++){
    const texRSU=blocks[1][i],texLSD=blocks[2][i];
    nodes.push({
      height:blocks[0][i],
      terrainRSU:mapTerrain(texRSU&0x3F),
      terrainLSD:mapTerrain(texLSD&0x3F),
      terrainRSUId:texRSU&0x3F,
      terrainLSDId:texLSD&0x3F,
      harbor:!!(texRSU&0x40)||!!(texLSD&0x40),
      buildQuality:(blocks[8][i]<=5?blocks[8][i]:0),
      object:decodeObject(blocks[4][i],blocks[5][i]),
      resource:decodeResource(blocks[11][i]),
    });
  }
  return{width,height,nodes,terrainType,title,playerCount,hqPositions};
}
const TC={
  [T.GRASS]:["#5c8a2e","#548227","#4c7a22"],
  [T.FOREST]:["#3d6b22","#35631c","#2d5b16"],
  [T.MOUNTAIN]:["#8a7d64","#7e7158","#72654c"],
  [T.WATER]:["#2864a0","#205c98","#1a5490"],
  [T.SAND]:["#c4a45c","#b89c54","#ac944c"],
  [T.MEADOW]:["#6a9a38","#629230","#5a8a28"],
};
// Terrain textures extracted from TEX5.LBM (Greenland)
const TERR_SZ=16;
const TERR_HEX={
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  4:'c39f7fc7ab87c7ab87c39f7fc7ab87c39f7fc39f7fb38f73c39f7fc39f7fc39f7fc39f7fc39f7fc39f7fc39f7fc39f7fc39f7fc7ab87c39f7fbb9777c39f7fc39f7fcfb393bb9777c39f7fc39f7fc7ab87c39f7fc7ab87b38f73c39f7fc39f7fc39f7fd7bf9bbb9777bb9777c39f7fc7ab87cfb393c7ab87bb9777c39f7fc39f7fc39f7fbb9777b38f73c7ab87bb9777c39f7fc39f7fc7ab87c7ab87c39f7fc39f7fc39f7fc39f7fc39f7fc39f7fc39f7fc39f7fcfb393c39f7fc39f7fc7ab87cfb393b38f73c39f7fc7ab87c7ab87c39f7fc7ab87b38f73bb9777c39f7fc39f7fab8b6bbb9777bb9777c7ab87c39f7fc39f7fd7bf9bc39f7fc39f7fbb9777c39f7fbb9777b38f73c39f7fb38f73c39f7fc39f7fc39f7fc39f7fc39f7fc39f7fc39f7fc39f7fc39f7fc7ab87c7ab87bb9777bb9777c7ab87bb9777c39f7fc39f7fc39f7fc39f7fc39f7fc39f7fc39f7fc39f7fc39f7fc39f7fc39f7fcfb393c39f7fc39f7fc39f7fc39f7fc39f7fab8b6bc7ab87c39f7fc39f7fcfb393c39f7fc7ab87bb9777cfb393bb9777c39f7fb38f73c39f7fc39f7fc39f7fc39f7fc7ab87c39f7fc39f7fcfb393c39f7fc39f7fc39f7fcfb393bb9777b38f73bb9777c39f7fbb9777c39f7fc39f7fc39f7fc39f7fc39f7fc7ab87c39f7fd7bf9bc39f7fc39f7fcfb393bb9777cfb393b38f73c7ab87bb9777c39f7fbb9777c39f7fc7ab87cfb393c7ab87bb9777c39f7fbb9777c39f7fc39f7fc39f7fc39f7fcfb393c39f7fc39f7fc39f7fc39f7fc39f7fc39f7fc7ab87c39f7fcfb393bb9777cfb393c39f7fc39f7fcfb393b38f73c39f7fb38f73c39f7fbb9777bb9777b38f73b38f73c39f7fc39f7fcfb393bb9777c39f7fc39f7fc39f7fd7bf9bc39f7fc7ab87c39f7fc39f7fc39f7fc39f7fbb9777c39f7fc39f7fc7ab87c39f7fbb9777bb9777c39f7fc39f7fc39f7fc39f7fc7ab87bb9777bb9777c7ab87c39f7fc39f7fc7ab87bb9777c39f7fc39f7fc39f7fc39f7fc39f7fc39f7fc39f7fbb9777c39f7fc7ab87c39f7fc7ab87c39f7fbb9777c39f7fc7ab87bb9777c7ab87ab8b6bb38f73',
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};

// Figure sprite sheets: 256x120, 8 cols x 6 rows, cell 32x20
// Rows = directions: 0=E,1=SE,2=SW,3=W,4=NW,5=NE; Cols = 8 anim steps
const FIG_SPRITES={
  carrier:'data:image/png;base64,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',
  woodcutter:'data:image/png;base64,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',
};
const FIG_CW=32,FIG_CH=16,FIG_FOOT=13,FIG_STEPS=8;
const DIR_MAP={'1,0':1,'-1,0':4,'0,1':2,'0,-1':5,'1,-1':0,'-1,1':3,'0,0':1};

// ── WebGL Terrain Renderer (Step 5a) ──────────────────────────────
// AUDIT FINDINGS (recorded before any code changes):
// AUDIT-01: cvRef (existing 2D canvas), width=CANVAS_W=960, height=CANVAS_H=580;
//           getContext('2d') in render useEffect; render loop = useEffect on [loaded,tick,...];
//           draw order: background fill → terrain triangles → overlays/roads → buildings → figures → ui
// AUDIT-02: terrain uses beginPath/fill with ctx.createPattern (TERR_HEX 16×16 tiles) or solid colour;
//           loop: for row/col → t1(col,row)→(col,row+1)→(col+1,row) + t2(col,row)→(col+1,row)→(col+1,row-1)
// AUDIT-03: heights = g.heights[row][col]; terrain = g.map[row][col] (T.GRASS..T.MEADOW 0-5);
//           COLS/ROWS globals; no WLD block 13 shading stored on nodes → compute from heightmap
// AUDIT-04: nodeIso(c,r,ox,oy,heights) → x=(c-r)*32+ox, y=(c+r)*18+oy-h*5; TW=64,TH=36,HEIGHT_FACTOR=5
// AUDIT-05: viewport={offsetX,offsetY,scale} present (line ~71); used via ctx.scale/ctx.translate
// AUDIT-06: deleted = terrain fill + terrain triangle loops; modified = render orchestration + canvas setup;
//           untouched = all sprite/building/figure/game logic

// Vertex shader (exact — do not modify):
const WGL_VERT_SRC=`
attribute vec2 a_position;
attribute vec2 a_texcoord;
attribute float a_shade;
uniform vec2 u_resolution;
uniform vec2 u_scroll;
uniform float u_zoom;
varying vec2 v_texcoord;
varying float v_shade;
void main(){
  vec2 pos=(a_position-u_scroll)*u_zoom;
  vec2 clipSpace=(pos/u_resolution)*2.0-1.0;
  clipSpace.y*=-1.0;
  gl_Position=vec4(clipSpace,0.0,1.0);
  v_texcoord=a_texcoord;
  v_shade=a_shade;
}`;

// Fragment shader (exact — do not modify):
const WGL_FRAG_SRC=`
precision mediump float;
uniform sampler2D u_terrainTexture;
varying vec2 v_texcoord;
varying float v_shade;
void main(){
  vec4 texColor=texture2D(u_terrainTexture,v_texcoord);
  float brightness=clamp(v_shade*2.0,0.0,1.5);
  gl_FragColor=vec4(texColor.rgb*brightness,texColor.a);
}`;

// Terrain atlas: 35×1 texture, one colour per WLD terrain ID (indices 0–34).
// UV index maps directly to WLD terrain ID — no remapping needed.
const _FB=0x4b,_FBG=0x7b,_FBB=0x0f; // fallback green for unused IDs
const WGL_ATLAS_PIXELS=new Uint8Array([
  0x8c,0xb8,0x4b,0xff, //  0 Savannah
  0x9f,0x83,0x5b,0xff, //  1 Mountain 1
  0xe8,0xe8,0xe8,0xff, //  2 Snow
  0x3a,0x5c,0x2a,0xff, //  3 Swamp
  0xc3,0x9f,0x7f,0xff, //  4 Desert 1
  0x29,0x71,0xa6,0xff, //  5 Water
  0x30,0x80,0xb0,0xff, //  6 Buildable Water
  0xb8,0x90,0x60,0xff, //  7 Desert 2
  0x4b,0x7b,0x0f,0xff, //  8 Meadow 1
  0x5a,0x8a,0x18,0xff, //  9 Meadow 2
  0x6a,0x9a,0x28,0xff, // 10 Meadow 3
  0x8a,0x70,0x50,0xff, // 11 Mountain 2
  0x7a,0x60,0x40,0xff, // 12 Mountain 3
  0x6a,0x50,0x30,0xff, // 13 Mountain 4
  0xb0,0x98,0x3c,0xff, // 14 Steppe
  0x73,0x9f,0x1f,0xff, // 15 Flower Meadow
  0xc8,0x40,0x10,0xff, // 16 Lava
  0xa0,0x80,0xc0,0xff, // 17 Silver/Magenta
  0x7a,0x90,0x60,0xff, // 18 Mountain Meadow
  0x20,0x60,0xa0,0xff, // 19 Water variant
  _FB,_FBG,_FBB,0xff,  // 20 unused
  _FB,_FBG,_FBB,0xff,  // 21 unused
  0xb8,0x30,0x00,0xff, // 22 Lava variant
  _FB,_FBG,_FBB,0xff,  // 23 unused
  _FB,_FBG,_FBB,0xff,  // 24 unused
  _FB,_FBG,_FBB,0xff,  // 25 unused
  _FB,_FBG,_FBB,0xff,  // 26 unused
  _FB,_FBG,_FBB,0xff,  // 27 unused
  _FB,_FBG,_FBB,0xff,  // 28 unused
  _FB,_FBG,_FBB,0xff,  // 29 unused
  _FB,_FBG,_FBB,0xff,  // 30 unused
  _FB,_FBG,_FBB,0xff,  // 31 unused
  _FB,_FBG,_FBB,0xff,  // 32 unused
  _FB,_FBG,_FBB,0xff,  // 33 unused
  0x8a,0x70,0x50,0xff, // 34 Buildable Mountain
]);
const WGL_ATLAS_W=35,WGL_ATLAS_H=1;
// Maps T.* enum values to WLD terrain IDs for procedural maps
const TERR_T_TO_ID=[8,8,1,5,4,10]; // GRASS=0→8,FOREST=1→8,MOUNTAIN=2→1,WATER=3→5,SAND=4→4,MEADOW=5→10
function figDir(fromC,fromR,toC,toR){
  const dc=Math.sign(toC-fromC),dr=Math.sign(toR-fromR);
  return DIR_MAP[dc+','+dr]??1;
}

const GOODS=["wood","boards","stones","grain","flour","water","bread",
  "iron_ore","coal","gold_ore","beer","swords","shields","meat","fish","iron","gold_bar"];

const B={
  hq:{n:"Headquarters",c:{},sz:3,t:0,p:null,i:[],sp:"headquarters",cat:"special",mil:0},
  woodcutter:{n:"Woodcutter",c:{boards:2},sz:1,t:8,p:"wood",i:[],sp:"woodcutter",cat:"gather",mil:0},
  forester:{n:"Forester",c:{boards:2},sz:1,t:6,p:null,i:[],sp:"forester",cat:"gather",mil:0},
  sawmill:{n:"Sawmill",c:{boards:2,stones:2},sz:2,t:5,p:"boards",i:["wood"],sp:"sawmill",cat:"process",mil:0},
  quarry:{n:"Quarry",c:{boards:2},sz:1,t:8,p:"stones",i:[],sp:"quarry",cat:"gather",mil:0},
  well:{n:"Well",c:{boards:2},sz:1,t:5,p:"water",i:[],sp:"well",cat:"gather",mil:0},
  farm:{n:"Farm",c:{boards:3,stones:3},sz:3,t:4,p:"grain",i:[],sp:"farm",cat:"gather",mil:0},
  mill:{n:"Mill",c:{boards:2,stones:2},sz:2,t:5,p:"flour",i:["grain"],sp:"mill",cat:"process",mil:0},
  bakery:{n:"Bakery",c:{boards:2,stones:2},sz:2,t:5,p:"bread",i:["flour","water"],sp:"bakery",cat:"process",mil:0},
  fishery:{n:"Fishery",c:{boards:2},sz:1,t:6,p:"fish",i:[],sp:"fishery",cat:"gather",mil:0,nearWater:1},
  hunter:{n:"Hunter",c:{boards:2},sz:1,t:7,p:"meat",i:[],sp:"hunter",cat:"gather",mil:0},
  brewery:{n:"Brewery",c:{boards:2,stones:2},sz:2,t:6,p:"beer",i:["grain","water"],sp:"brewery",cat:"process",mil:0},
  coal_mine:{n:"Coal Mine",c:{boards:4},sz:1,t:6,p:"coal",i:["bread"],sp:"coal_mine",cat:"mine",mil:0,needs:T.MOUNTAIN},
  iron_mine:{n:"Iron Mine",c:{boards:4},sz:1,t:6,p:"iron_ore",i:["bread"],sp:"iron_mine",cat:"mine",mil:0,needs:T.MOUNTAIN},
  gold_mine:{n:"Gold Mine",c:{boards:4},sz:1,t:8,p:"gold_ore",i:["bread"],sp:"gold_mine",cat:"mine",mil:0,needs:T.MOUNTAIN},
  granite_mine:{n:"Granite Mine",c:{boards:4},sz:1,t:8,p:"stones",i:["bread"],sp:"granite_mine",cat:"mine",mil:0,needs:T.MOUNTAIN},
  iron_smelter:{n:"Iron Smelter",c:{boards:2,stones:2},sz:2,t:5,p:"iron",i:["iron_ore","coal"],sp:"iron_smelter",cat:"process",mil:0},
  mint:{n:"Mint",c:{boards:2,stones:2},sz:2,t:6,p:"gold_bar",i:["gold_ore","coal"],sp:"mint",cat:"process",mil:0},
  armory:{n:"Armory",c:{boards:2,stones:2},sz:2,t:6,p:"swords",i:["iron","coal"],sp:"armory",cat:"military",mil:0},
  metalworks:{n:"Metalworks",c:{boards:2,stones:2},sz:2,t:6,p:"shields",i:["iron","boards"],sp:"metalworks",cat:"process",mil:0},
  slaughterhouse:{n:"Slaughterhouse",c:{boards:2,stones:2},sz:2,t:5,p:"meat",i:["meat"],sp:"slaughterhouse",cat:"process",mil:0},
  barracks:{n:"Barracks",c:{boards:2},sz:1,t:0,p:null,i:[],sp:"barracks",cat:"military",mil:1},
  guardhouse:{n:"Guardhouse",c:{boards:2,stones:3},sz:2,t:0,p:null,i:[],sp:"guardhouse",cat:"military",mil:1},
  watchtower:{n:"Watchtower",c:{boards:3,stones:5},sz:2,t:0,p:null,i:[],sp:"watchtower",cat:"military",mil:1},
  fortress:{n:"Fortress",c:{boards:4,stones:7},sz:3,t:0,p:null,i:[],sp:"fortress",cat:"military",mil:1},
  storehouse:{n:"Storehouse",c:{boards:4,stones:3},sz:2,t:0,p:null,i:[],sp:"storehouse",cat:"special",mil:0},
  pig_farm:{n:"Pig Farm",c:{boards:3,stones:3},sz:2,t:6,p:"meat",i:["grain","water"],sp:"pig_farm",cat:"gather",mil:0},
  donkey_breeder:{n:"Donkey Breeder",c:{boards:3,stones:3},sz:2,t:6,p:null,i:["grain","water"],sp:"donkey_breeder",cat:"gather",mil:0},
  lookout_tower:{n:"Lookout Tower",c:{boards:3},sz:1,t:0,p:null,i:[],sp:"lookout_tower",cat:"military",mil:0},
};

const BQ_BUILDINGS={
  hut:["woodcutter","forester","quarry","fishery","hunter","barracks","well","lookout_tower"],
  house:["woodcutter","forester","quarry","fishery","hunter","barracks","well","lookout_tower",
    "sawmill","mill","bakery","brewery","iron_smelter","mint","armory","metalworks",
    "slaughterhouse","guardhouse","watchtower","storehouse","pig_farm","donkey_breeder"],
  castle:["woodcutter","forester","quarry","fishery","hunter","barracks","well","lookout_tower",
    "sawmill","mill","bakery","brewery","iron_smelter","mint","armory","metalworks",
    "slaughterhouse","guardhouse","watchtower","storehouse","pig_farm","donkey_breeder",
    "farm","fortress"],
  mine:["coal_mine","iron_mine","gold_mine","granite_mine"],
};

const TREES=["pine","birch","oak","cypress","cherry","fir","palm"];
const TF={pine:["pine","pine_f1","pine_f2","pine_f3"],birch:["birch","birch_f1","birch_f2","birch_f3"],
  oak:["oak","oak_f1","oak_f2","oak_f3"],cypress:["cypress"],fir:["fir"],cherry:["cherry"],palm:["palm"]};
function treeFor(c,r){return TREES[((c*7+r*13+c*r)&0x7FFFFFFF)%TREES.length];}
function treeFrame(type,tick){const f=TF[type]||[type];return f[tick%f.length];}
function normaliseSpecies(s){if(s==='pine2') return 'pine';return s;}

function getBuildQuality(col,row,map,buildings,territory,flags,bqMap){
  if(!territory.has(`${col},${row}`)) return null;
  if(buildings.find(b=>b.col===col&&b.row===row)) return null;
  if(bqMap&&bqMap[row]&&bqMap[row][col]!==undefined){
    const bqVal=bqMap[row][col];
    if(flags&&flags.find(f=>f.col===col&&f.row===row)) return "flag";
    if(bqVal===0) return null;
    if(bqVal===1) return "flag";
    if(bqVal===2) return "hut";
    if(bqVal===3) return "house";
    if(bqVal===4) return "castle";
    if(bqVal===5) return "mine";
    return null;
  }
  const t=map[row]?.[col];
  if(t===T.WATER) return null;
  if(t===T.MOUNTAIN) return "mine";
  let maxSize=3;
  for(const b of buildings){
    const dist=Math.abs(b.col-col)+Math.abs(b.row-row);
    if(dist===0) return null;
    if(dist===1) maxSize=Math.min(maxSize,1);
    else if(dist===2) maxSize=Math.min(maxSize,2);
  }
  // Flags block building placement on their tile
  if(flags&&flags.find(f=>f.col===col&&f.row===row))
    return "flag";
  if(t===T.FOREST) maxSize=Math.min(maxSize,1);
  if(maxSize>=3) return "castle";
  if(maxSize>=2) return "house";
  if(maxSize>=1) return "hut";
  return "flag";
}

// ── Neighbors: 6 directions on isometric grid ───
// In our grid, the 6 neighbors of (col,row) are:
// Right: (col+1, row), Left: (col-1, row)
// Down-Right: (col, row+1), Up-Left: (col, row-1)
// Down-Left: (col-1, row+1), Up-Right: (col+1, row-1)
function getNeighbors(col, row) {
  return [
    {col:col+1, row}, {col:col-1, row},
    {col, row:row+1}, {col, row:row-1},
    {col:col-1, row:row+1}, {col:col+1, row:row-1},
  ].filter(n => n.col>=0 && n.col<COLS && n.row>=0 && n.row<ROWS);
}

// Get flag position for a building (offset by +1 col in S2 style)
function getFlagPos(bCol, bRow, map, buildings, flags) {
  // Try positions around the building for the flag
  const candidates = [
    {col:bCol+1, row:bRow},     // right
    {col:bCol, row:bRow+1},     // down-right
    {col:bCol+1, row:bRow-1},   // up-right
    {col:bCol-1, row:bRow+1},   // down-left
    {col:bCol-1, row:bRow},     // left
    {col:bCol, row:bRow-1},     // up-left
  ];
  for(const c of candidates) {
    if(c.col<0||c.col>=COLS||c.row<0||c.row>=ROWS) continue;
    if(map[c.row]?.[c.col]===T.WATER) continue;
    if(buildings && buildings.find(b=>b.col===c.col&&b.row===c.row)) continue;
    // Don't steal another building's flag
    if(flags && flags.find(f=>f.col===c.col&&f.row===c.row&&f.buildingIdx!==undefined&&f.buildingIdx!==null)) continue;
    return c;
  }
  return candidates[0]; // fallback
}

// BFS to find which flags are connected to HQ flag
function getConnectedFlags(flags, roads, hqFlagId) {
  if(hqFlagId===null||hqFlagId===undefined) return new Set();
  const adj = {};
  flags.forEach(f => { adj[f.id] = []; });
  roads.forEach(r => {
    if(adj[r.flagA]) adj[r.flagA].push(r.flagB);
    if(adj[r.flagB]) adj[r.flagB].push(r.flagA);
  });
  const visited = new Set();
  const queue = [hqFlagId];
  visited.add(hqFlagId);
  while(queue.length > 0) {
    const cur = queue.shift();
    for(const nb of (adj[cur]||[])) {
      if(!visited.has(nb)) { visited.add(nb); queue.push(nb); }
    }
  }
  return visited;
}
// BFS from HQ: for each flag, which neighbor is next hop toward HQ?
function computeNextHop(flags, roads, hqFlagId) {
  const adj = {};
  flags.forEach(f => { adj[f.id] = []; });
  roads.forEach(r => {
    if(adj[r.flagA]) adj[r.flagA].push(r.flagB);
    if(adj[r.flagB]) adj[r.flagB].push(r.flagA);
  });
  const nextHop = {}; // flagId → nextFlagId toward HQ
  const visited = new Set();
  const queue = [hqFlagId];
  visited.add(hqFlagId);
  nextHop[hqFlagId] = null; // HQ has no next hop
  while(queue.length > 0) {
    const cur = queue.shift();
    for(const nb of (adj[cur]||[])) {
      if(!visited.has(nb)) {
        visited.add(nb);
        nextHop[nb] = cur; // to reach HQ from nb, go to cur
        queue.push(nb);
      }
    }
  }
  return nextHop;
}

// Find next flag from 'fromId' toward 'destId' using BFS
function findNextHopBetween(flags, roads, fromId, destId) {
  if(fromId===destId) return null;
  const adj = {};
  flags.forEach(f => { adj[f.id] = []; });
  roads.forEach(r => {
    if(adj[r.flagA]) adj[r.flagA].push(r.flagB);
    if(adj[r.flagB]) adj[r.flagB].push(r.flagA);
  });
  // BFS from destId backward to find path
  const prev = {};
  const visited = new Set();
  const queue = [destId];
  visited.add(destId);
  while(queue.length > 0) {
    const cur = queue.shift();
    if(cur === fromId) break;
    for(const nb of (adj[cur]||[])) {
      if(!visited.has(nb)) { visited.add(nb); prev[nb] = cur; queue.push(nb); }
    }
  }
  // Trace: from fromId, follow prev to get next hop
  return prev[fromId] !== undefined ? prev[fromId] : null;
}
function canRoadPass(col, row, map, buildings) {
  if(col<0||col>=COLS||row<0||row>=ROWS) return false;
  const t = map[row][col];
  if(t===T.WATER) return false;
  // Can't go through building tiles (but can go through flag tiles)
  if(buildings.find(b=>b.col===col&&b.row===row)) return false;
  return true;
}

// BFS pathfinding for auto-routing roads between two positions
function findRoadPath(fromCol, fromRow, toCol, toRow, map, buildings) {
  const key = (c,r) => `${c},${r}`;
  const start = key(fromCol, fromRow);
  const end = key(toCol, toRow);
  if(start === end) return [];
  const visited = new Set([start]);
  const parent = {};
  const queue = [{col:fromCol, row:fromRow}];
  while(queue.length > 0) {
    const cur = queue.shift();
    const nbs = getNeighbors(cur.col, cur.row);
    for(const nb of nbs) {
      const k = key(nb.col, nb.row);
      if(visited.has(k)) continue;
      visited.add(k);
      parent[k] = key(cur.col, cur.row);
      if(k === end) {
        // Reconstruct path (excluding start, including end)
        const path = [];
        let ck = end;
        while(ck !== start) {
          const [cc,cr] = ck.split(",").map(Number);
          path.unshift({col:cc, row:cr});
          ck = parent[ck];
        }
        return path;
      }
      // Only allow walkable tiles (except the destination itself which is a flag)
      if(nb.col===toCol && nb.row===toRow) continue; // already handled above
      if(!canRoadPass(nb.col, nb.row, map, buildings)) continue;
      queue.push(nb);
    }
  }
  return null; // no path found
}

// ── Figure / Worker System ───────────────────────────────────────
const JOB_COLORS={
  woodcutter:"#8a5020",sawmill:"#c07030",forester:"#3a7a30",quarry:"#7a7060",
  fishery:"#2070a0",hunter:"#6a5030",bakery:"#c0a870",mill:"#b09060",
  brewery:"#906030",iron_smelter:"#8a4020",mint:"#c0a020",armory:"#606060",
  metalworks:"#707070",slaughterhouse:"#903030",pig_farm:"#c08060",
  coal_mine:"#404040",iron_mine:"#605040",gold_mine:"#b09020",granite_mine:"#808070",
  barracks:"#506080",guardhouse:"#506080",watchtower:"#506080",fortress:"#506080",
  well:"#6090b0",donkey_breeder:"#907040",carrier:"#b0a040",builder:"#c09030",
  storehouse:"#6a6a60",lookout_tower:"#506080",hq:"#4060a0",
};

function drawFigure(ctx, x, y, color, carrying, animTick, idle) {
  const bob = idle ? 0 : Math.sin(animTick * 0.5) * 1.5;
  const legPhase = idle ? 0 : Math.sin(animTick * 1.0) * 2;
  // Shadow
  ctx.fillStyle="rgba(0,0,0,0.2)";
  ctx.beginPath();ctx.ellipse(x,y+1,4,2,0,0,Math.PI*2);ctx.fill();
  // Legs
  ctx.fillStyle=darken(color,0.6);
  ctx.fillRect(x-2.5, y-3+bob, 2, 4+legPhase*0.5);
  ctx.fillRect(x+0.5, y-3+bob, 2, 4-legPhase*0.5);
  // Body
  ctx.fillStyle=color;
  ctx.fillRect(x-2.5, y-9+bob, 5, 6);
  // Head
  ctx.fillStyle="#e8d0a8";
  ctx.beginPath();ctx.arc(x, y-11.5+bob, 2.5, 0, Math.PI*2);ctx.fill();
  // Carrying indicator
  if(carrying){
    ctx.fillStyle="#c8a040";ctx.fillRect(x+3, y-10+bob, 5, 4);
    ctx.fillStyle="#a08020";ctx.fillRect(x+3, y-10+bob, 5, 1);
  }
}
function darken(hex, factor) {
  const r=parseInt(hex.slice(1,3),16), g=parseInt(hex.slice(3,5),16), b=parseInt(hex.slice(5,7),16);
  return `rgb(${Math.floor(r*factor)},${Math.floor(g*factor)},${Math.floor(b*factor)})`;
}

// Interpolate position along a path
function lerpPath(path, progress, ox, oy, heights) {
  if(!path||path.length<2) {
    const p=path?path[0]:{col:0,row:0};
    const iso=nodeIso(p.col,p.row,ox,oy,heights);
    return {x:iso.x, y:iso.y, depth:p.col+p.row};
  }
  const t=Math.max(0,Math.min(1,progress))*(path.length-1);
  const idx=Math.floor(t), frac=t-idx;
  const a=path[Math.min(idx,path.length-1)], b=path[Math.min(idx+1,path.length-1)];
  const pa=nodeIso(a.col,a.row,ox,oy,heights), pb=nodeIso(b.col,b.row,ox,oy,heights);
  return{
    x:pa.x+(pb.x-pa.x)*frac,
    y:pa.y+(pb.y-pa.y)*frac,
    depth:(a.col+a.row)+(b.col+b.row-a.col-a.row)*frac
  };
}

function generateMap(){
  const m=Array.from({length:ROWS},()=>Array.from({length:COLS},()=>T.GRASS));
  const R=n=>Math.floor(Math.random()*n);
  // Water patches (smaller)
  for(let i=0;i<1;i++){let cx=3+R(COLS-6),cy=3+R(ROWS-6);
    for(let dy=-1;dy<=1;dy++) for(let dx=-1;dx<=1;dx++){let nx=cx+dx,ny=cy+dy;
      if(nx>=0&&nx<COLS&&ny>=0&&ny<ROWS&&dx*dx+dy*dy<3) m[ny][nx]=T.WATER;}}
  // Mountain patches
  for(let i=0;i<2;i++){let cx=2+R(COLS-4),cy=2+R(ROWS-4);
    for(let dy=-1;dy<=1;dy++) for(let dx=-2;dx<=2;dx++){let nx=cx+dx,ny=cy+dy;
      if(nx>=0&&nx<COLS&&ny>=0&&ny<ROWS&&dx*dx+dy*dy<4+R(2)) m[ny][nx]=T.MOUNTAIN;}}
  // Forest patches
  for(let i=0;i<5;i++){let cx=R(COLS),cy=R(ROWS);
    for(let dy=-1;dy<=1;dy++) for(let dx=-1;dx<=1;dx++){let nx=cx+dx,ny=cy+dy;
      if(nx>=0&&nx<COLS&&ny>=0&&ny<ROWS&&m[ny][nx]===T.GRASS&&R(3)>0) m[ny][nx]=T.FOREST;}}
  for(let y=0;y<ROWS;y++) for(let x=0;x<COLS;x++)
    if(m[y][x]===T.GRASS&&R(7)===0) m[y][x]=T.MEADOW;
  // Clear area around HQ
  const hx=Math.floor(COLS/2),hy=Math.floor(ROWS/2);
  for(let dy=-2;dy<=2;dy++) for(let dx=-2;dx<=2;dx++){let nx=hx+dx,ny=hy+dy;
    if(nx>=0&&nx<COLS&&ny>=0&&ny<ROWS&&Math.abs(dx)+Math.abs(dy)<4) m[ny][nx]=T.GRASS;}
  // Ring of forest around HQ
  for(let dy=-3;dy<=3;dy++) for(let dx=-3;dx<=3;dx++){let nx=hx+dx,ny=hy+dy;
    if(nx>=0&&nx<COLS&&ny>=0&&ny<ROWS&&m[ny][nx]===T.GRASS&&(Math.abs(dx)>1||Math.abs(dy)>1)&&R(3)===0) m[ny][nx]=T.FOREST;}
  return m;
}

// Generate height map based on terrain types
function generateHeights(map){
  const h=Array.from({length:ROWS},()=>Array.from({length:COLS},()=>0));
  // Base heights from terrain type
  for(let r=0;r<ROWS;r++) for(let c=0;c<COLS;c++){
    const t=map[r][c];
    if(t===T.MOUNTAIN) h[r][c]=8+Math.floor(Math.random()*6);
    else if(t===T.SAND) h[r][c]=1+Math.floor(Math.random()*2);
    else if(t===T.WATER) h[r][c]=0;
    else h[r][c]=Math.floor(Math.random()*3); // grass/meadow/forest: 0-2
  }
  // Smooth: average with neighbors (2 passes)
  for(let pass=0;pass<2;pass++){
    const h2=h.map(row=>[...row]);
    for(let r=0;r<ROWS;r++) for(let c=0;c<COLS;c++){
      let sum=h[r][c]*2, cnt=2;
      const nbs=[[c+1,r],[c-1,r],[c,r+1],[c,r-1],[c-1,r+1],[c+1,r-1]];
      for(const[nc,nr] of nbs){
        if(nr>=0&&nr<ROWS&&nc>=0&&nc<COLS){sum+=h[nr][nc];cnt++;}
      }
      h2[r][c]=Math.round(sum/cnt);
    }
    for(let r=0;r<ROWS;r++) for(let c=0;c<COLS;c++) h[r][c]=h2[r][c];
  }
  // Flatten HQ area
  const hx=Math.floor(COLS/2),hy=Math.floor(ROWS/2);
  for(let dy=-2;dy<=2;dy++) for(let dx=-2;dx<=2;dx++){
    const nr=hy+dy,nc=hx+dx;
    if(nr>=0&&nr<ROWS&&nc>=0&&nc<COLS&&Math.abs(dx)+Math.abs(dy)<4) h[nr][nc]=1;
  }
  return h;
}

function toIso(c,r,ox,oy){return{x:(c-r)*(TW/2)+ox,y:(c+r)*(TH/2)+oy};}
// Node position with height offset for triangle rendering
function nodeIso(c,r,ox,oy,heights){
  const x=(c-r)*(TW/2)+ox, y=(c+r)*(TH/2)+oy;
  const h=(heights&&heights[r]&&heights[r][c])||0;
  return{x, y:y-h*HEIGHT_FACTOR};
}
function fromIso(px,py,ox,oy){const sx=px-ox,sy=py-oy;
  return{col:Math.round((sx/(TW/2)+sy/(TH/2))/2),row:Math.round((sy/(TH/2)-sx/(TW/2))/2)};}
// Height-aware click detection: approximate with flat iso, then refine
function fromIsoH(px,py,ox,oy,heights){
  const approx=fromIso(px,py,ox,oy);
  let bestD=Infinity,bestC=approx.col,bestR=approx.row;
  for(let dr=-2;dr<=2;dr++) for(let dc=-2;dc<=2;dc++){
    const c=approx.col+dc,r=approx.row+dr;
    if(c<0||c>=COLS||r<0||r>=ROWS) continue;
    const h=(heights&&heights[r]&&heights[r][c])||0;
    const sx=(c-r)*(TW/2)+ox, sy=(c+r)*(TH/2)+oy-h*HEIGHT_FACTOR;
    const dx=px-sx, dy=py-sy;
    // Use diamond distance for iso tiles
    const d=Math.abs(dx)/(TW/2)+Math.abs(dy)/(TH/2);
    if(d<bestD){bestD=d;bestC=c;bestR=r;}
  }
  return{col:bestC,row:bestR};
}

// ── Minimap ────────────────────────────────────────────────────────
function minimapNodeColor(node){
  const t=node?node.terrainRSU??node.terrain??'':'';
  if(t==='water') return '#3a6eb5';
  if(t==='mountain') return '#8a7560';
  if(t==='snow') return '#e8e8e8';
  return '#4a7c3f';
}

function drawMinimap(ctx,gameState,vp){
  const map=gameState&&gameState.map;if(!map) return;
  const rows=ROWS,cols=COLS;
  const mmX=CANVAS_W-MINIMAP_W-MINIMAP_MARGIN;
  const mmY=CANVAS_H-MINIMAP_H-MINIMAP_MARGIN;
  const scX=MINIMAP_W/cols,scY=MINIMAP_H/rows;
  // Background
  ctx.fillStyle='rgba(0,0,0,0.65)';
  ctx.fillRect(mmX-2,mmY-2,MINIMAP_W+4,MINIMAP_H+4);
  // Terrain pixels — use map array directly (map[row][col] = terrain int)
  const T_=map;
  for(let row=0;row<rows;row++){
    for(let col=0;col<cols;col++){
      const t=T_[row]?T_[row][col]:0;
      if(t===3||t===2) ctx.fillStyle=t===3?'#3a6eb5':'#8a7560'; // water, mountain
      else ctx.fillStyle='#4a7c3f';
      ctx.fillRect(mmX+col*scX,mmY+row*scY,Math.max(1,scX),Math.max(1,scY));
    }
  }
  // Viewport rectangle — approximate in iso-space
  const isoW=(COLS+ROWS)*TW/2,isoH=(COLS+ROWS)*TH/2;
  const vx=((vp.offsetX+CANVAS_W/2)/isoW)*MINIMAP_W;
  const vy=((vp.offsetY+CANVAS_H/2)/isoH)*MINIMAP_H;
  const vw=(CANVAS_W/vp.scale/isoW)*MINIMAP_W;
  const vh=(CANVAS_H/vp.scale/isoH)*MINIMAP_H;
  ctx.strokeStyle='rgba(255,255,255,0.85)';ctx.lineWidth=1;
  ctx.strokeRect(mmX+vx,mmY+vy,vw,vh);
}

export default function Settlers2(){
  const cvRef=useRef(null),imgRef=useRef({bldg:null,comb:null,fig:{}});
  const[loaded,setLoaded]=useState(false),[tick,setTick]=useState(0);
  const gs=useRef(null),[,fu]=useState(0);
  const dragRef=useRef({active:false,startX:0,startY:0,sx0:0,sy0:0});
  const[hover,setHover]=useState(null);
  const[msg,setMsg]=useState("Welcome to The Settlers II! Click a tile to build. Click a flag to build roads.");

  // Popup menu state (building menu)
  const[popup,setPopup]=useState(null);
  const[popHover,setPopHover]=useState(null);
  // Flag popup (click flag to get road build option)
  const[flagPopup,setFlagPopup]=useState(null);
  // Road building mode
  const[roadMode,setRoadMode]=useState(null); // {fromFlagId, path:[{col,row}]}

  // ── WebGL terrain renderer refs ───────────────────────────────────
  const webglRef=useRef(null);   // WebGL <canvas> element (behind 2D canvas)
  // glState: {gl, prog, buf, tex, aPosLoc, aTexLoc, aShLoc, uResLoc, uScrollLoc, uZoomLoc, uTexLoc, vertexCount}
  const glStateRef=useRef(null);
  const vboDirtyRef=useRef(true); // true = vertex buffer needs rebuilding

  useEffect(()=>{let cnt=0;const FIG_KEYS=Object.keys(FIG_SPRITES);const TOTAL=2+FIG_KEYS.length;const done=()=>{cnt++;if(cnt===TOTAL){
    const map=generateMap(),heights=generateHeights(map),hx=Math.floor(COLS/2),hy=Math.floor(ROWS/2);
    const terrainRSUIds=Array.from({length:ROWS},(_,r)=>Array.from({length:COLS},(_,c)=>TERR_T_TO_ID[map[r][c]]??8));
    const terrainLSDIds=Array.from({length:ROWS},(_,r)=>Array.from({length:COLS},(_,c)=>TERR_T_TO_ID[map[r][c]]??8));
    const ter=new Set();
    for(let dy=-HQ_RAD;dy<=HQ_RAD;dy++) for(let dx=-HQ_RAD;dx<=HQ_RAD;dx++){
      if(Math.abs(dx)+Math.abs(dy)<=HQ_RAD+1){let nx=hx+dx,ny=hy+dy;
        if(nx>=0&&nx<COLS&&ny>=0&&ny<ROWS) ter.add(`${nx},${ny}`);}}
    const goods={};GOODS.forEach(g=>goods[g]=0);
    goods.boards=6;goods.stones=6;goods.wood=4;goods.bread=2;goods.water=2;
    // Create HQ building and its flag
    const hqFlag = {id:0, col:hx+1, row:hy, buildingIdx:0, goods:[]};
    gs.current={
      map, heights, terrainRSUIds, terrainLSDIds,
      buildings:[{type:"hq",col:hx,row:hy,timer:0,flagId:0}],
      territory:ter, goods, tick:0,
      flags:[hqFlag], roads:[], nextFlagId:1,
      figures:[], nextFigId:0,
      objects:null,
    };
    setLoaded(true);}};
    const i1=new Image();i1.onload=()=>{imgRef.current.bldg=i1;done();};i1.src=BLDG_SRC;
    const i2=new Image();i2.onload=()=>{imgRef.current.comb=i2;done();};i2.src=COMB_SRC;
    FIG_KEYS.forEach(k=>{const img=new Image();img.onload=()=>{imgRef.current.fig[k]=img;done();};img.src=FIG_SPRITES[k];});

  },[]);

  // ── WebGL initialisation (runs once after assets loaded) ─────────────
  useEffect(()=>{
    if(!loaded||!webglRef.current) return;
    const canvas=webglRef.current;
    const gl=canvas.getContext('webgl',{alpha:true,antialias:false,premultipliedAlpha:false});
    if(!gl){console.warn('[WebGL] Context unavailable — terrain will render via Canvas 2D fallback.');return;}
    const compShader=(type,src)=>{
      const s=gl.createShader(type);gl.shaderSource(s,src);gl.compileShader(s);
      if(!gl.getShaderParameter(s,gl.COMPILE_STATUS)){
        console.error('[WebGL] Shader error:',gl.getShaderInfoLog(s));gl.deleteShader(s);return null;}
      return s;};
    const vs=compShader(gl.VERTEX_SHADER,WGL_VERT_SRC);
    const fs=compShader(gl.FRAGMENT_SHADER,WGL_FRAG_SRC);
    if(!vs||!fs) return;
    const prog=gl.createProgram();
    gl.attachShader(prog,vs);gl.attachShader(prog,fs);gl.linkProgram(prog);
    if(!gl.getProgramParameter(prog,gl.LINK_STATUS)){
      console.error('[WebGL] Link error:',gl.getProgramInfoLog(prog));return;}
    const buf=gl.createBuffer();
    // Build placeholder terrain colour atlas (6×1, one pixel per terrain type)
    const tex=gl.createTexture();
    gl.bindTexture(gl.TEXTURE_2D,tex);
    gl.pixelStorei(gl.UNPACK_ALIGNMENT,1);
    gl.texImage2D(gl.TEXTURE_2D,0,gl.RGBA,WGL_ATLAS_W,WGL_ATLAS_H,0,gl.RGBA,gl.UNSIGNED_BYTE,WGL_ATLAS_PIXELS);
    gl.texParameteri(gl.TEXTURE_2D,gl.TEXTURE_MIN_FILTER,gl.NEAREST);
    gl.texParameteri(gl.TEXTURE_2D,gl.TEXTURE_MAG_FILTER,gl.NEAREST);
    gl.texParameteri(gl.TEXTURE_2D,gl.TEXTURE_WRAP_S,gl.CLAMP_TO_EDGE);
    gl.texParameteri(gl.TEXTURE_2D,gl.TEXTURE_WRAP_T,gl.CLAMP_TO_EDGE);
    gl.clearColor(0.16,0.44,0.65,1.0); // S2 ocean blue
    gl.enable(gl.BLEND);
    gl.blendFunc(gl.SRC_ALPHA,gl.ONE_MINUS_SRC_ALPHA);
    glStateRef.current={
      gl,prog,buf,tex,
      aPosLoc:gl.getAttribLocation(prog,'a_position'),
      aTexLoc:gl.getAttribLocation(prog,'a_texcoord'),
      aShLoc :gl.getAttribLocation(prog,'a_shade'),
      uResLoc:gl.getUniformLocation(prog,'u_resolution'),
      uScrollLoc:gl.getUniformLocation(prog,'u_scroll'),
      uZoomLoc:gl.getUniformLocation(prog,'u_zoom'),
      uTexLoc:gl.getUniformLocation(prog,'u_terrainTexture'),
      vertexCount:0,
    };
    vboDirtyRef.current=true;
    console.log('[WebGL] Initialized successfully');
  },[loaded]);

  // ── Game tick: production + figures ─────────────────────────────────
  useEffect(()=>{if(!loaded) return;
    const ANIM_SPEED=0.05; // figure movement per sub-tick (200ms)
    const iv=setInterval(()=>{const g=gs.current;if(!g) return;g.tick++;
      const isProdTick = g.tick % PROD_TICKS === 0;
      // Compute connectivity
      const hqFlag = g.flags.find(f=>f.buildingIdx===0);
      const connected = hqFlag ? getConnectedFlags(g.flags, g.roads, hqFlag.id) : new Set();

      // ── Ensure each connected building has a worker figure (every prod tick) ──
      if(isProdTick){
      const hqBldg = g.buildings[0];
      g.buildings.forEach((b,bi)=>{
        if(b.type==="hq") return;
        if(b.constructing) return; // Don't spawn worker for construction sites
        const bFlag = g.flags.find(f=>f.buildingIdx===bi);
        const isConn = bFlag && connected.has(bFlag.id);
        if(!isConn) return;
        const hasWorker = g.figures.find(f=>f.bldgIdx===bi&&f.type==="worker");
        if(!hasWorker){
          g.figures.push({id:g.nextFigId++,type:"worker",bldgIdx:bi,
            col:hqBldg.col,row:hqBldg.row,state:"walking_to_bldg",progress:0,
            path:[{col:hqBldg.col,row:hqBldg.row},{col:b.col,row:b.row}],
            carrying:null,job:b.type,chopTick:0,targetTree:null});
        }
      });

      // ── Spawn builders for construction sites ──
      g.buildings.forEach((b,bi)=>{
        if(!b.constructing) return;
        const bFlag = g.flags.find(f=>f.buildingIdx===bi);
        if(!bFlag||!connected.has(bFlag.id)) return;
        const hasBuilder = g.figures.find(f=>f.bldgIdx===bi&&f.type==="builder");
        if(!hasBuilder){
          g.figures.push({id:g.nextFigId++,type:"builder",bldgIdx:bi,
            col:hqBldg.col,row:hqBldg.row,state:"walking_to_bldg",progress:0,
            path:[{col:hqBldg.col,row:hqBldg.row},{col:b.col,row:b.row}],
            carrying:null,job:"builder",chopTick:0,targetTree:null});
        }
      });
      // Remove workers for disconnected buildings
      g.figures=g.figures.filter(f=>{
        if(f.type!=="worker"&&f.type!=="builder") return true;
        const b=g.buildings[f.bldgIdx];if(!b) return false;
        const bFlag=g.flags.find(fl=>fl.buildingIdx===f.bldgIdx);
        return bFlag && connected.has(bFlag.id);
      });

      // ── Ensure each road has a carrier figure ──
      g.roads.forEach((r,ri)=>{
        const hasCarrier=g.figures.find(f=>f.type==="carrier"&&f.roadIdx===ri);
        if(!hasCarrier && r.path.length>=2){
          g.figures.push({id:g.nextFigId++,type:"carrier",roadIdx:ri,
            col:r.path[0].col,row:r.path[0].row,state:"idle",
            progress:0,dir:1,path:null,carrying:null,job:"carrier",
            atEnd:0}); // atEnd: 0=flagA side, 1=flagB side
        }
      });

      // ── Production: non-woodcutter buildings ──
      g.buildings.forEach((b,bi)=>{const d=B[b.type];if(!d||!d.p||d.t===0) return;
        if(b.type==="woodcutter") return;
        const bFlag = g.flags.find(f=>f.buildingIdx===bi);
        const isConnected = bFlag && connected.has(bFlag.id);
        if(!isConnected) return;
        const worker = g.figures.find(f=>f.bldgIdx===bi&&f.type==="worker");
        if(!worker||worker.state!=="idle") return;
        if(bFlag.goods.length>=8) return; // flag full
        b.timer=(b.timer||0)+1;if(b.timer>=d.t){
          // Check if all inputs are available on the building's flag
          const flagGoods = bFlag.goods||[];
          const needed = [...d.i]; // copy
          const canProduce = needed.every(inp=>{
            return flagGoods.some(fg=>fg.type===inp && (!fg.dest||fg.dest===bFlag.id));
          });
          if(canProduce){
            // Consume one of each input from flag
            needed.forEach(inp=>{
              const idx=flagGoods.findIndex(fg=>fg.type===inp && (!fg.dest||fg.dest===bFlag.id));
              if(idx>=0) flagGoods.splice(idx,1);
            });
            bFlag.goods.push({type:d.p});b.timer=0;
          } else if(d.i.length===0){
            // No inputs needed (gatherers)
            bFlag.goods.push({type:d.p});b.timer=0;
          }
          else b.timer=d.t;}});

      // ── Forester grows trees ──
      g.buildings.forEach((b,bi)=>{if(b.type!=="forester") return;
        const bFlag = g.flags.find(f=>f.buildingIdx===bi);
        if(!bFlag||!connected.has(bFlag.id)) return;
        if(g.tick%32===0)
        for(let dy=-3;dy<=3;dy++) for(let dx=-3;dx<=3;dx++){let nx=b.col+dx,ny=b.row+dy;
          if(nx>=0&&nx<COLS&&ny>=0&&ny<ROWS&&g.map[ny][nx]===T.GRASS&&Math.random()<0.12){g.map[ny][nx]=T.FOREST;return;}}});
      } // end isProdTick

      // ── Worker walking_to_bldg (all job types) ──
      g.figures.forEach(f=>{
        if((f.type==="worker"||f.type==="builder")&&f.state==="walking_to_bldg"){
          f.progress+=ANIM_SPEED;
          if(f.progress>=1){
            const b=g.buildings[f.bldgIdx];
            f.state = f.type==="builder" ? "building" : "idle";
            f.progress=0;f.path=null;
            if(b){f.col=b.col;f.row=b.row;}
          }
        }
      });

      // ── Woodcutter state machine (animation every tick, production decisions on prod tick) ──
      g.buildings.forEach((b,bi)=>{if(b.type!=="woodcutter") return;
        const bFlag = g.flags.find(f=>f.buildingIdx===bi);
        if(!bFlag||!connected.has(bFlag.id)) return;
        const worker = g.figures.find(f=>f.bldgIdx===bi&&f.type==="worker");
        if(!worker) return;

        if(worker.state==="idle"){
          if(isProdTick){
          b.timer=(b.timer||0)+1;
          if(b.timer>=B.woodcutter.t){
            let bestTree=null, bestDist=999;
            for(let dy=-3;dy<=3;dy++) for(let dx=-3;dx<=3;dx++){
              let nx=b.col+dx,ny=b.row+dy;
              if(nx>=0&&nx<COLS&&ny>=0&&ny<ROWS&&g.map[ny][nx]===T.FOREST){
                const dist=Math.abs(dx)+Math.abs(dy);
                if(dist<bestDist){bestDist=dist;bestTree={col:nx,row:ny};}
              }
            }
            if(bestTree){
              worker.state="walking_out";
              worker.targetTree=bestTree;
              worker.path=[{col:b.col,row:b.row},bestTree];
              worker.progress=0;
              worker.carrying=null;
              b.timer=0;
            } else { b.timer=B.woodcutter.t; }
          }}
        } else if(worker.state==="walking_out"){
          worker.progress+=ANIM_SPEED;
          if(worker.progress>=1){
            worker.progress=1;worker.state="chopping";worker.chopTick=0;
          }
        } else if(worker.state==="chopping"){
          worker.chopTick=(worker.chopTick||0)+1;
          if(worker.chopTick>=16){ // ~3.2 seconds of chopping
            const t=worker.targetTree;
            if(t&&g.map[t.row]&&g.map[t.row][t.col]===T.FOREST) g.map[t.row][t.col]=T.GRASS;
            worker.carrying="wood";
            worker.path=[worker.targetTree,{col:bFlag.col,row:bFlag.row}];
            worker.progress=0;worker.state="walking_back";
          }
        } else if(worker.state==="walking_back"){
          worker.progress+=ANIM_SPEED;
          if(worker.progress>=1){
            if(bFlag.goods.length<8) bFlag.goods.push({type:"wood"});
            worker.carrying=null;
            worker.state="returning";
            worker.path=[{col:bFlag.col,row:bFlag.row},{col:b.col,row:b.row}];
            worker.progress=0;
          }
        } else if(worker.state==="returning"){
          worker.progress+=ANIM_SPEED;
          if(worker.progress>=1){
            worker.state="idle";worker.col=b.col;worker.row=b.row;
            worker.path=null;worker.progress=0;
          }
        }
      });

      // ── Compute routing: nextHop toward HQ for each flag ──
      const nextHop = hqFlag ? computeNextHop(g.flags, g.roads, hqFlag.id) : {};

      // ── HQ flag: consume goods into global inventory ──
      if(hqFlag && hqFlag.goods){
        const toConsume = [];
        hqFlag.goods.forEach((item,i)=>{
          if(!item.dest){ toConsume.push(i); }
        });
        // Remove from end to preserve indices
        for(let i=toConsume.length-1;i>=0;i--){
          const item = hqFlag.goods[toConsume[i]];
          g.goods[item.type] = (g.goods[item.type]||0) + 1;
          hqFlag.goods.splice(toConsume[i], 1);
        }
      }

      // ── HQ dispatches inputs to buildings that need them ──
      if(isProdTick && hqFlag){
        // Count goods already in-transit or on each building's flag
        const inTransit = {}; // flagId → {goodType → count}
        g.flags.forEach(fl=>{
          if(!fl.goods) return;
          fl.goods.forEach(item=>{
            if(item.dest){
              if(!inTransit[item.dest]) inTransit[item.dest]={};
              inTransit[item.dest][item.type]=(inTransit[item.dest][item.type]||0)+1;
            }
          });
        });
        g.buildings.forEach((b,bi)=>{
          const d=B[b.type];if(!d||!d.i||d.i.length===0) return;
          if(b.type==="woodcutter") return;
          if(b.constructing) return;
          const bFlag=g.flags.find(f=>f.buildingIdx===bi);
          if(!bFlag||!connected.has(bFlag.id)) return;
          const worker=g.figures.find(f=>f.bldgIdx===bi&&f.type==="worker");
          if(!worker||worker.state==="walking_to_bldg") return;
          // For each input type, ensure up to 2 are on-flag or in-transit
          d.i.forEach(inp=>{
            const onFlag=(bFlag.goods||[]).filter(fg=>fg.type===inp&&(!fg.dest||fg.dest===bFlag.id)).length;
            const transit=(inTransit[bFlag.id]&&inTransit[bFlag.id][inp])||0;
            const want=2-onFlag-transit;
            if(want>0 && (g.goods[inp]||0)>0 && hqFlag.goods.length<8){
              g.goods[inp]--;
              hqFlag.goods.push({type:inp,dest:bFlag.id});
              if(!inTransit[bFlag.id]) inTransit[bFlag.id]={};
              inTransit[bFlag.id][inp]=(inTransit[bFlag.id][inp]||0)+1;
            }
          });
        });
      }

      // ── Builder construction logic (material consumption on prod ticks) ──
      g.figures.forEach(f=>{
        if(f.type!=="builder") return;
        const b=g.buildings[f.bldgIdx];
        if(!b||!b.constructing) return;
        const bFlag=g.flags.find(fl=>fl.buildingIdx===f.bldgIdx);
        if(!bFlag) return;

        if(f.state==="building" && isProdTick){
          // Check if materials available on flag to consume
          const flagGoods = bFlag.goods||[];
          for(const[mat,needed] of Object.entries(b.constNeed||{})){
            const have = (b.constHave&&b.constHave[mat])||0;
            if(have < needed){
              const idx = flagGoods.findIndex(fg=>fg.type===mat&&(!fg.dest||fg.dest===bFlag.id));
              if(idx>=0){
                flagGoods.splice(idx,1);
                if(!b.constHave) b.constHave={};
                b.constHave[mat]=(b.constHave[mat]||0)+1;
                break; // one material per prod tick
              }
            }
          }
          // Check if all materials consumed
          const allDone = Object.entries(b.constNeed||{}).every(([mat,needed])=>{
            return (b.constHave&&b.constHave[mat]||0) >= needed;
          });
          if(allDone){
            b.constProgress=(b.constProgress||0)+1;
            if(b.constProgress>=3){
              b.constructing=false;
              delete b.constNeed; delete b.constHave; delete b.constProgress;
              f.state="done";
            }
          }
        }
      });
      // Remove done builders
      g.figures=g.figures.filter(f=>!(f.type==="builder"&&f.state==="done"));

      // ── Update carrier figures ──
      g.figures.forEach(f=>{
        if(f.type!=="carrier") return;
        const road=g.roads[f.roadIdx];
        if(!road) return;
        const flagAObj = g.flags.find(fl=>fl.id===road.flagA);
        const flagBObj = g.flags.find(fl=>fl.id===road.flagB);
        if(!flagAObj||!flagBObj) return;

        if(f.state==="idle"){
          const endIdx = f.atEnd ? road.path.length-1 : 0;
          f.col=road.path[endIdx].col;f.row=road.path[endIdx].row;
          const myFlag = f.atEnd===0 ? flagAObj : flagBObj;
          const otherFlag = f.atEnd===0 ? flagBObj : flagAObj;
          // Check myFlag for goods that should go toward otherFlag
          let picked = false;
          if(myFlag.goods && myFlag.goods.length > 0){
            for(let gi=0;gi<myFlag.goods.length;gi++){
              const item = myFlag.goods[gi];
              let nh;
              if(!item.dest) nh = nextHop[myFlag.id];
              else if(item.dest===myFlag.id) continue;
              else nh = findNextHopBetween(g.flags, g.roads, myFlag.id, item.dest);
              if(nh === otherFlag.id){
                myFlag.goods.splice(gi,1);
                f.carrying = item.type; f.carryDest = item.dest||null;
                f.state = "delivering"; f.progress = 0;
                if(f.atEnd===0) f.path=[...road.path];
                else f.path=[...road.path].reverse();
                picked = true; break;
              }
            }
          }
          // Check otherFlag for goods that should come through myFlag
          if(!picked && otherFlag.goods && otherFlag.goods.length > 0){
            for(let gi=0;gi<otherFlag.goods.length;gi++){
              const item = otherFlag.goods[gi];
              let nh;
              if(!item.dest) nh = nextHop[otherFlag.id];
              else if(item.dest===otherFlag.id) continue;
              else nh = findNextHopBetween(g.flags, g.roads, otherFlag.id, item.dest);
              if(nh === myFlag.id){
                f.state = "pickup_walk"; f.progress = 0;
                if(f.atEnd===0) f.path=[...road.path];
                else f.path=[...road.path].reverse();
                break;
              }
            }
          }
        }
        else if(f.state==="pickup_walk" && f.path){
          f.progress += ANIM_SPEED*0.7;
          if(f.progress >= 1){
            f.atEnd = f.atEnd ? 0 : 1;
            const pickupFlag = f.atEnd===0 ? flagAObj : flagBObj;
            const otherFlag2 = f.atEnd===0 ? flagBObj : flagAObj;
            let found = false;
            if(pickupFlag.goods){
              for(let gi=0;gi<pickupFlag.goods.length;gi++){
                const item = pickupFlag.goods[gi];
                let nh;
                if(!item.dest) nh = nextHop[pickupFlag.id];
                else if(item.dest===pickupFlag.id) continue;
                else nh = findNextHopBetween(g.flags, g.roads, pickupFlag.id, item.dest);
                if(nh === otherFlag2.id){
                  pickupFlag.goods.splice(gi,1);
                  f.carrying = item.type; f.carryDest = item.dest||null;
                  f.state = "delivering"; f.progress = 0;
                  f.path = [...f.path].reverse();
                  found = true; break;
                }
              }
            }
            if(!found){ f.state="idle"; f.path=null; f.progress=0; }
          }
        }
        else if(f.state==="delivering" && f.path){
          f.progress += ANIM_SPEED*0.7;
          if(f.progress >= 1){
            f.atEnd = f.atEnd ? 0 : 1;
            const destFlag = f.atEnd===0 ? flagAObj : flagBObj;
            if(f.carrying && destFlag.goods && destFlag.goods.length < 8){
              destFlag.goods.push({type:f.carrying, dest: f.carryDest || null});
            }
            f.carrying = null; f.carryDest = null;
            f.state = "idle"; f.progress = 0; f.path = null;
            const ei = f.atEnd ? road.path.length-1 : 0;
            f.col=road.path[ei].col;f.row=road.path[ei].row;
          }
        }
      });

      setTick(g.tick);applyEdgeScroll();fu(n=>n+1);},TICK_MS);
    return()=>clearInterval(iv);},[loaded]);

  // ── Canvas rendering ───────────────────────────────────────────────
  useEffect(()=>{if(!loaded) return;
    const cv=cvRef.current,ctx=cv.getContext("2d"),g=gs.current;if(!g) return;
    const W=cv.width,H=cv.height;
    const ox=W/2-(COLS-ROWS)*(TW/4),oy=30;
    const{bldg,comb}=imgRef.current;

    // ── WebGL terrain: build VBO if dirty, then render ────────────────
    const glSt=glStateRef.current;
    if(glSt){
      // Rebuild vertex buffer when map changes
      if(vboDirtyRef.current){
        const{gl,buf}=glSt;
        const cols=COLS,rows=ROWS;
        const floats=new Float32Array(cols*rows*30);
        let idx=0;
        // Compute Gouraud shade for a node (Step 8: real lighting from heightmap)
        // Formula: shade = 64 + 9*(P1-H) - 3*(P2-H) - 6*(P3-H) - 9*(P4-H), clamped [0,128]/128
        const getShade=(c,r)=>{
          const H=(g.heights[r]&&g.heights[r][c])||0;
          // P1=upper(r-1,c), P2=right(r,c+1), P3=lower-left(r+1,c-1), P4=lower(r+1,c)
          const P1=(g.heights[r-1]&&g.heights[r-1][c])||0;
          const P2=(g.heights[r]&&g.heights[r][c+1])||0;
          const P3=(g.heights[r+1]&&g.heights[r+1][c-1])||0;
          const P4=(g.heights[r+1]&&g.heights[r+1][c])||0;
          const shade=64+9*(P1-H)-3*(P2-H)-6*(P3-H)-9*(P4-H);
          return Math.max(0,Math.min(128,shade))/128;
        };
        const addV=(c,r,t)=>{
          const{x,y}=nodeIso(c,r,ox,oy,g.heights);
          floats[idx++]=x;floats[idx++]=y;
          floats[idx++]=(t+0.5)/WGL_ATLAS_W; // u: center of terrain's atlas pixel
          floats[idx++]=0.5;                 // v: center of 1-pixel-tall atlas
          floats[idx++]=getShade(c,r);       // Gouraud shade
        };
        for(let row=0;row<rows;row++) for(let col=0;col<cols;col++){
          const tRSU=g.terrainRSUIds?.[row]?.[col]??TERR_T_TO_ID[g.map[row][col]]??8;
          const tLSD=g.terrainLSDIds?.[row]?.[col]??TERR_T_TO_ID[g.map[row][col]]??8;
          // t1: (col,row)→(col,row+1)→(col+1,row)
          if(row<rows-1&&col<cols-1){addV(col,row,tRSU);addV(col,row+1,tRSU);addV(col+1,row,tRSU);}
          else{addV(col,row,tRSU);addV(col,row,tRSU);addV(col,row,tRSU);} // degenerate
          // t2: (col,row)→(col+1,row)→(col+1,row-1)
          if(col<cols-1&&row>0){addV(col,row,tLSD);addV(col+1,row,tLSD);addV(col+1,row-1,tLSD);}
          else{addV(col,row,tLSD);addV(col,row,tLSD);addV(col,row,tLSD);} // degenerate
        }
        gl.bindBuffer(gl.ARRAY_BUFFER,buf);
        gl.bufferData(gl.ARRAY_BUFFER,floats,gl.DYNAMIC_DRAW);
        glSt.vertexCount=cols*rows*6;
        console.log('[WebGL] VBO built:',glSt.vertexCount,'vertices');
        vboDirtyRef.current=false;
      }
      // Draw WebGL terrain
      const{gl,prog,buf,tex,aPosLoc,aTexLoc,aShLoc,uResLoc,uScrollLoc,uZoomLoc,uTexLoc,vertexCount}=glSt;
      const wglCv=webglRef.current;
      gl.viewport(0,0,wglCv.width,wglCv.height);
      gl.clear(gl.COLOR_BUFFER_BIT);
      gl.useProgram(prog);
      // u_resolution = half canvas dimensions: vertex at (0,0)→clip(-1,-1), at (W,H)→clip(1,-1) after y-flip
      gl.uniform2f(uResLoc,wglCv.width/2,wglCv.height/2);
      gl.uniform2f(uScrollLoc,viewport.offsetX,viewport.offsetY);
      gl.uniform1f(uZoomLoc,viewport.scale);
      gl.activeTexture(gl.TEXTURE0);gl.bindTexture(gl.TEXTURE_2D,tex);gl.uniform1i(uTexLoc,0);
      const STRIDE=20;
      gl.bindBuffer(gl.ARRAY_BUFFER,buf);
      gl.enableVertexAttribArray(aPosLoc);gl.vertexAttribPointer(aPosLoc,2,gl.FLOAT,false,STRIDE,0);
      gl.enableVertexAttribArray(aTexLoc);gl.vertexAttribPointer(aTexLoc,2,gl.FLOAT,false,STRIDE,8);
      gl.enableVertexAttribArray(aShLoc);gl.vertexAttribPointer(aShLoc,1,gl.FLOAT,false,STRIDE,16);
      gl.drawArrays(gl.TRIANGLES,0,vertexCount);
      // Clear 2D canvas to transparent so WebGL terrain shows through
      ctx.clearRect(0,0,W,H);
    } else {
      // ── Canvas 2D terrain fallback (no WebGL) ──────────────────────
      ctx.fillStyle="#1a2810";ctx.fillRect(0,0,W,H);
    }
    ctx.save();
    ctx.scale(viewport.scale,viewport.scale);
    ctx.translate(-viewport.offsetX,-viewport.offsetY);

    const drawSp=(atlas,sp,cx,cy)=>{if(!atlas||!sp) return;
      const[sx,sy,sw,sh,onx,ony]=sp;ctx.drawImage(atlas,sx,sy,sw,sh,cx-onx,cy-ony,sw,sh);};

    // Compute connectivity for rendering
    const hqFlag = g.flags.find(f=>f.buildingIdx===0);
    const connected = hqFlag ? getConnectedFlags(g.flags, g.roads, hqFlag.id) : new Set();

    // Road tile set for highlighting
    const roadTiles = new Set();
    g.roads.forEach(r => r.path.forEach(p => roadTiles.add(`${p.col},${p.row}`)));

    const drawList=[];

    // Create terrain patterns from hex pixel data (once, cached on imgRef)
    if(!imgRef.current._tp){
      imgRef.current._tp={};
      for(const[tid,hex] of Object.entries(TERR_HEX)){
        const oc=document.createElement('canvas');
        oc.width=TERR_SZ;oc.height=TERR_SZ;
        const octx=oc.getContext('2d');
        const id=octx.createImageData(TERR_SZ,TERR_SZ);
        for(let i=0;i<TERR_SZ*TERR_SZ;i++){
          const hi=i*6;
          id.data[i*4]=parseInt(hex.substr(hi,2),16);
          id.data[i*4+1]=parseInt(hex.substr(hi+2,2),16);
          id.data[i*4+2]=parseInt(hex.substr(hi+4,2),16);
          id.data[i*4+3]=255;
        }
        octx.putImageData(id,0,0);
        try{imgRef.current._tp[tid]=ctx.createPattern(oc,'repeat');}catch(e){}
      }
    }
    const tp=imgRef.current._tp;

    // Height-adjusted iso position
    const iH=(c,r)=>nodeIso(c,r,ox,oy,g.heights);

    // ── Pass 1: Terrain triangles (Canvas 2D fallback when WebGL unavailable) ──
    if(!glSt){
      ctx.imageSmoothingEnabled=false;
      for(let row=0;row<ROWS;row++) for(let col=0;col<COLS;col++){
        const t=g.map[row][col];
        const pat=(t===T.WATER)?null:tp[t];
        const n0=iH(col,row);
        const fallback=TC[t]?TC[t][0]:TC[T.GRASS][0];
        const fill=pat||(t===T.WATER?'#1e6ea8':fallback);
        if(row<ROWS-1&&col<COLS-1){
          const n1=iH(col,row+1),n2=iH(col+1,row);
          ctx.beginPath();ctx.moveTo(n0.x,n0.y);ctx.lineTo(n1.x,n1.y);ctx.lineTo(n2.x,n2.y);ctx.closePath();
          ctx.fillStyle=fill;ctx.fill();}
        if(col<COLS-1&&row>0){
          const n1=iH(col+1,row),n2=iH(col+1,row-1);
          ctx.beginPath();ctx.moveTo(n0.x,n0.y);ctx.lineTo(n1.x,n1.y);ctx.lineTo(n2.x,n2.y);ctx.closePath();
          ctx.fillStyle=fill;ctx.fill();}
      }
      ctx.imageSmoothingEnabled=true;
    }

    // ── Pass 2: Overlays (territory, roads, water) using diamond shapes ──
    for(let row=0;row<ROWS;row++) for(let col=0;col<COLS;col++){
      const{x,y}=iH(col,row);
      const t=g.map[row][col];
      const inT=g.territory.has(`${col},${row}`);

      // Territory border edge overlays
      if(inT){const edges=[[0,-1,0,1],[1,0,1,2],[0,1,2,3],[-1,0,3,0]];
        const pts=[[x,y-TH/2],[x+TW/2,y],[x,y+TH/2],[x-TW/2,y]];
        let isBorder=false;
        ctx.strokeStyle="rgba(100,180,255,0.35)";ctx.lineWidth=1.5;
        for(const[dx,dy,p1,p2] of edges){
          if(!g.territory.has(`${col+dx},${row+dy}`)){isBorder=true;
            ctx.beginPath();ctx.moveTo(pts[p1][0],pts[p1][1]);ctx.lineTo(pts[p2][0],pts[p2][1]);ctx.stroke();}}
        if(isBorder){drawList.push({depth:col+row-0.3,type:"border",x,y});}}
      if(t===T.FOREST){
        const wldObj=g.objects&&g.objects[row]&&g.objects[row][col];
        const tt=normaliseSpecies((wldObj&&wldObj.kind==='tree'&&wldObj.species)?wldObj.species:treeFor(col,row));
        const fr=treeFrame(tt,Math.floor(g.tick/3)+((col+row)%4));
        drawList.push({depth:col+row,type:"tree",x,y,sprite:fr});
      }
    }

    // Draw road lines between flags
    g.roads.forEach(r => {
      if(r.path.length < 2) return;
      ctx.strokeStyle="rgba(140,100,40,0.8)";ctx.lineWidth=3;
      ctx.beginPath();
      for(let i=0; i<r.path.length; i++){
        const{x,y}=iH(r.path[i].col,r.path[i].row);
        if(i===0) ctx.moveTo(x, y); else ctx.lineTo(x, y);
      }
      ctx.stroke();
      // Dotted dark outline for visibility
      ctx.strokeStyle="rgba(80,60,20,0.4)";ctx.lineWidth=5;
      ctx.setLineDash([3,5]);ctx.stroke();ctx.setLineDash([]);
    });

    // Road building preview line
    if(roadMode && (roadMode.path.length >= 1 || hover)) {
      const fromFlag = g.flags.find(f=>f.id===roadMode.fromFlagId);
      if(fromFlag){
        const last = roadMode.path.length > 0
          ? roadMode.path[roadMode.path.length-1]
          : {col:fromFlag.col, row:fromFlag.row};
        // Check if hovering a target flag — show auto-path preview
        let previewPath = [];
        if(hover) {
          const targetFlag = g.flags.find(f=>f.col===hover.col&&f.row===hover.row&&f.id!==roadMode.fromFlagId);
          if(targetFlag) {
            const auto = findRoadPath(last.col, last.row, targetFlag.col, targetFlag.row, g.map, g.buildings);
            if(auto) previewPath = auto;
          }
        }
        ctx.strokeStyle="rgba(255,220,80,0.7)";ctx.lineWidth=3;
        ctx.setLineDash([6,6]);
        ctx.beginPath();
        const{x:fx,y:fy}=iH(fromFlag.col,fromFlag.row);
        ctx.moveTo(fx,fy);
        roadMode.path.forEach(p=>{
          const{x,y}=iH(p.col,p.row); ctx.lineTo(x,y);
        });
        // Draw auto-path preview in green
        if(previewPath.length > 0) {
          ctx.stroke();ctx.setLineDash([]);
          ctx.strokeStyle="rgba(80,255,80,0.6)";ctx.lineWidth=3;
          ctx.setLineDash([6,6]);
          ctx.beginPath();
          const{x:lx,y:ly}=iH(last.col,last.row);
          ctx.moveTo(lx,ly);
          previewPath.forEach(p=>{
            const{x,y}=iH(p.col,p.row); ctx.lineTo(x,y);
          });
        }
        ctx.stroke();ctx.setLineDash([]);
      }
    }

    // Buildings
    g.buildings.forEach((b,bi)=>{const d=B[b.type];if(!d) return;
      const{x,y}=iH(b.col,b.row);
      drawList.push({depth:b.col+b.row,type:"bldg",x,y,b,d,bi});});

    // Flags
    g.flags.forEach(f=>{
      const{x,y}=iH(f.col,f.row);
      drawList.push({depth:f.col+f.row+0.1,type:"flag",x,y,flag:f});
    });

    // Figures
    g.figures.forEach(fig=>{
      let fx,fy,depth,sprDir=1;
      if(fig.path&&fig.path.length>=2&&fig.progress!==undefined){
        const pos=lerpPath(fig.path,fig.progress,ox,oy,g.heights);
        fx=pos.x;fy=pos.y;depth=pos.depth+0.2;
        // Compute sprite direction from path position
        const t=Math.max(0,Math.min(1,fig.progress))*(fig.path.length-1);
        const idx=Math.floor(t);
        const a=fig.path[Math.min(idx,fig.path.length-1)];
        const b=fig.path[Math.min(idx+1,fig.path.length-1)];
        sprDir=figDir(a.col,a.row,b.col,b.row);
      } else {
        const pos=iH(fig.col,fig.row);
        fx=pos.x;fy=pos.y;depth=fig.col+fig.row+0.2;
      }
      drawList.push({depth,type:"figure",x:fx,y:fy,fig,sprDir});
    });

    drawList.sort((a,b)=>a.depth-b.depth);
    for(const item of drawList){
      if(item.type==="border"){
        const sp=LS.border_post;if(sp) drawSp(comb,sp,item.x,item.y);
      } else if(item.type==="tree"){
        const sp=LS[item.sprite];if(sp) drawSp(comb,sp,item.x,item.y);
      } else if(item.type==="bldg"){
        if(item.b.constructing){
          // Construction site: draw scaffolding
          const sz = item.d.sz||1;
          const w = sz===3?28:sz===2?22:16;
          const h = sz===3?24:sz===2?18:14;
          // Foundation
          ctx.fillStyle="#8a7050";
          ctx.fillRect(item.x-w/2, item.y-h, w, h);
          ctx.strokeStyle="#5a4030";ctx.lineWidth=1;
          ctx.strokeRect(item.x-w/2, item.y-h, w, h);
          // Scaffolding poles
          ctx.strokeStyle="#b09060";ctx.lineWidth=1.5;
          ctx.beginPath();
          ctx.moveTo(item.x-w/2+2,item.y);ctx.lineTo(item.x-w/2+2,item.y-h-6);
          ctx.moveTo(item.x+w/2-2,item.y);ctx.lineTo(item.x+w/2-2,item.y-h-6);
          // Cross brace
          ctx.moveTo(item.x-w/2+2,item.y-h/2);ctx.lineTo(item.x+w/2-2,item.y-h);
          ctx.stroke();
          // Progress indicator
          const need = item.b.constNeed||{};
          const have = item.b.constHave||{};
          const totalNeed = Object.values(need).reduce((s,v)=>s+v,0)||1;
          const totalHave = Object.values(have).reduce((s,v)=>s+v,0);
          const pct = Math.min(1, totalHave/totalNeed);
          // Fill based on progress
          ctx.fillStyle="rgba(180,140,80,0.5)";
          ctx.fillRect(item.x-w/2+1, item.y-h*pct, w-2, h*pct);
          // Material counter
          ctx.font="9px sans-serif";ctx.textAlign="center";ctx.fillStyle="#e0d0a0";
          let matText = "";
          for(const[k,v] of Object.entries(need)){
            const got = have[k]||0;
            if(got<v) matText += `${k[0].toUpperCase()}:${got}/${v} `;
          }
          if(matText) ctx.fillText(matText.trim(), item.x, item.y-h-10);
        } else {
          const sp=BS[item.d.sp+"_built"];if(sp) drawSp(bldg,sp,item.x,item.y);
        }
        // Connection indicator
        const bFlag = g.flags.find(f=>f.buildingIdx===item.bi);
        const isConn = bFlag && connected.has(bFlag.id);
        const spH = item.b.constructing ? (item.d.sz===3?24:item.d.sz===2?18:14) : (BS[item.d.sp+"_built"]?BS[item.d.sp+"_built"][5]:30);
        if(item.d.p && item.d.t > 0 && !item.b.constructing) {
          if(isConn && item.b.timer!==undefined){
            const pct=item.b.timer/item.d.t;
            ctx.fillStyle="rgba(0,0,0,0.6)";ctx.fillRect(item.x-12,item.y-spH-8,24,3);
            ctx.fillStyle=pct>=1?"#ff6b35":"#4ae04a";ctx.fillRect(item.x-12,item.y-spH-8,24*Math.min(pct,1),3);
          }
        }
        if(!isConn) {
          ctx.fillStyle="rgba(200,40,40,0.8)";
          ctx.font="bold 11px sans-serif";ctx.textAlign="center";
          ctx.fillText("✕ no road",item.x,item.y-spH-12);
        }
      } else if(item.type==="flag"){
        // Draw a visible flag pole + pennant
        const fx=item.x, fy=item.y;
        // Pole
        ctx.strokeStyle="#6a5030";ctx.lineWidth=2;
        ctx.beginPath();ctx.moveTo(fx,fy);ctx.lineTo(fx,fy-22);ctx.stroke();
        ctx.strokeStyle="#4a3020";ctx.lineWidth=1;
        ctx.beginPath();ctx.moveTo(fx+1,fy);ctx.lineTo(fx+1,fy-22);ctx.stroke();
        // Flag pennant (player blue)
        ctx.fillStyle="#3080e0";
        ctx.beginPath();ctx.moveTo(fx+1,fy-22);ctx.lineTo(fx+12,fy-18);ctx.lineTo(fx+1,fy-14);ctx.closePath();ctx.fill();
        ctx.fillStyle="#2060b0";
        ctx.beginPath();ctx.moveTo(fx+1,fy-14);ctx.lineTo(fx+9,fy-11);ctx.lineTo(fx+1,fy-8);ctx.closePath();ctx.fill();
        // Small circle base
        ctx.fillStyle="#5a4020";
        ctx.beginPath();ctx.arc(fx,fy,3,0,Math.PI*2);ctx.fill();
        // Draw goods waiting on this flag
        const fGoods = item.flag.goods || [];
        if(fGoods.length > 0){
          const GCOL = {wood:"#8b6914",boards:"#c8a848",stones:"#888888",
            grain:"#d4b040",flour:"#e8d8a0",water:"#4090d0",bread:"#c89040",
            iron_ore:"#606060",coal:"#303030",gold_ore:"#d0a020",beer:"#b08030",
            iron:"#808080",gold_bar:"#e0c020",meat:"#c06060",fish:"#6090a0"};
          for(let gi=0;gi<fGoods.length;gi++){
            const gx = fx - 8 + (gi%4)*5;
            const gy = fy + 2 + Math.floor(gi/4)*5;
            ctx.fillStyle=GCOL[fGoods[gi].type]||"#c0c0c0";
            ctx.fillRect(gx-2,gy-2,4,4);
            ctx.strokeStyle="rgba(0,0,0,0.4)";ctx.lineWidth=0.5;
            ctx.strokeRect(gx-2,gy-2,4,4);
          }
        }
      } else if(item.type==="figure"){
        const fig=item.fig;
        const sheetKey = (fig.job==="woodcutter" && imgRef.current.fig.woodcutter) ? "woodcutter" : "carrier";
        const sheet = imgRef.current.fig[sheetKey];
        if(sheet){
          const dir=item.sprDir||1;
          const animStep=(fig.state==="idle"||fig.state==="chopping"||fig.state==="building") ? 0 : Math.floor(g.tick+(fig.id*3))%FIG_STEPS;
          const sx=animStep*FIG_CW, sy=dir*FIG_CH;
          // Scale 1.5x for visibility, anchor feet at tile position
          const dw=FIG_CW*1.5, dh=FIG_CH*1.5;
          const footOff=FIG_FOOT*1.5; // foot position within scaled sprite
          ctx.imageSmoothingEnabled=false;
          ctx.drawImage(sheet, sx, sy, FIG_CW, FIG_CH,
            Math.round(item.x-dw/2), Math.round(item.y-footOff), dw, dh);
          ctx.imageSmoothingEnabled=true;
          if(fig.carrying){
            ctx.fillStyle="#e0c040";
            ctx.beginPath();ctx.arc(item.x+4,item.y-footOff+6,3,0,Math.PI*2);ctx.fill();
          }
        } else {
          const color=JOB_COLORS[fig.job]||"#808080";
          const isIdle=fig.state==="idle"||fig.state==="chopping"||fig.state==="building";
          drawFigure(ctx,item.x,item.y,color,!!fig.carrying,g.tick+(fig.id*7),isIdle);
        }
        if(fig.state==="chopping"){
          const swing=Math.sin(g.tick*2)*4;
          ctx.strokeStyle="#8a6030";ctx.lineWidth=1.5;
          ctx.beginPath();ctx.moveTo(item.x+3,item.y-8);
          ctx.lineTo(item.x+8+swing,item.y-14);ctx.stroke();
          ctx.fillStyle="#a0a0a0";
          ctx.fillRect(item.x+7+swing,item.y-16,3,4);
        }
        if(fig.state==="building"){
          // Builder hammering animation
          const swing=Math.sin(g.tick*3)*3;
          ctx.strokeStyle="#6a5030";ctx.lineWidth=1.5;
          ctx.beginPath();ctx.moveTo(item.x-2,item.y-10);
          ctx.lineTo(item.x-6+swing,item.y-16);ctx.stroke();
          ctx.fillStyle="#808080";
          ctx.fillRect(item.x-8+swing,item.y-18,4,3);
        }
      }
    }
    // BQ marker on hover (only if no popup/road mode, and not on existing flag/building)
    if(hover&&!popup&&!flagPopup&&!roadMode){
      const{col,row}=hover;
      const hasFlag=g.flags.find(f=>f.col===col&&f.row===row);
      const hasBldg=g.buildings.find(b=>b.col===col&&b.row===row);
      if(!hasFlag&&!hasBldg){
        const{x,y}=iH(col,row);
        const bq=getBuildQuality(col,row,g.map,g.buildings,g.territory,g.flags,g.wldBQ);
        if(bq){
          const key={flag:"bq_flag",hut:"bq_hut",house:"bq_house",castle:"bq_castle",mine:"bq_mine"}[bq];
          const sp=LS[key];if(sp) drawSp(comb,sp,x,y);
        }
      }
    }
    // Highlight hovered tile in road mode + show valid neighbors
    if(roadMode && hover) {
      const{x,y}=iH(hover.col,hover.row);
      // Check if hovering a flag (valid endpoint)
      const targetFlag = g.flags.find(f=>f.col===hover.col&&f.row===hover.row&&f.id!==roadMode.fromFlagId);
      ctx.strokeStyle=targetFlag?"rgba(80,255,80,0.8)":"rgba(255,220,80,0.6)";
      ctx.lineWidth=2;
      ctx.beginPath();ctx.moveTo(x,y-TH/2);ctx.lineTo(x+TW/2,y);ctx.lineTo(x,y+TH/2);ctx.lineTo(x-TW/2,y);ctx.closePath();ctx.stroke();
      // Highlight valid neighbor tiles from current road endpoint
      const fromFlag = g.flags.find(f=>f.id===roadMode.fromFlagId);
      const last = roadMode.path.length > 0
        ? roadMode.path[roadMode.path.length-1]
        : (fromFlag ? {col:fromFlag.col, row:fromFlag.row} : null);
      if(last){
        const nbs = getNeighbors(last.col, last.row);
        for(const nb of nbs){
          if(roadMode.path.find(p=>p.col===nb.col&&p.row===nb.row)) continue;
          if(fromFlag && nb.col===fromFlag.col && nb.row===fromFlag.row) continue;
          const isFlag = g.flags.find(f=>f.col===nb.col&&f.row===nb.row&&f.id!==roadMode.fromFlagId);
          const passable = canRoadPass(nb.col, nb.row, g.map, g.buildings) || isFlag;
          if(passable){
            const{x:nx,y:ny}=iH(nb.col,nb.row);
            ctx.fillStyle=isFlag?"rgba(80,255,80,0.15)":"rgba(255,220,80,0.1)";
            ctx.beginPath();ctx.moveTo(nx,ny-TH/2);ctx.lineTo(nx+TW/2,ny);ctx.lineTo(nx,ny+TH/2);ctx.lineTo(nx-TW/2,ny);ctx.closePath();ctx.fill();
          }
        }
      }
    }
    // Popup highlight
    if(popup){
      const{x,y}=iH(popup.col,popup.row);
      ctx.strokeStyle="rgba(255,220,80,0.7)";ctx.lineWidth=2;
      ctx.beginPath();ctx.moveTo(x,y-TH/2);ctx.lineTo(x+TW/2,y);ctx.lineTo(x,y+TH/2);ctx.lineTo(x-TW/2,y);ctx.closePath();ctx.stroke();
      const bqKey={flag:"bq_flag",hut:"bq_hut",house:"bq_house",castle:"bq_castle",mine:"bq_mine"}[popup.bq];
      const sp=LS[bqKey];if(sp) drawSp(comb,sp,x,y);
    }
    ctx.restore();
    // Draw minimap (always in screen space, after restore)
    drawMinimap(ctx,g,viewport);
    // Version string
    ctx.font='11px monospace';ctx.fillStyle='rgba(180,180,180,0.7)';
    ctx.textAlign='right';
    ctx.fillText(VERSION,cv.width-6,cv.height-6);
    ctx.textAlign='left';
  },[loaded,tick,hover,popup,flagPopup,roadMode]);

  const getOxOy=useCallback(()=>{
    if(!cvRef.current) return{ox:0,oy:0};
    return{ox:cvRef.current.width/2-(COLS-ROWS)*(TW/4),oy:30};
  },[]);

  const onMove=useCallback(e=>{if(!cvRef.current||!gs.current) return;
    const g=gs.current;
    const r=cvRef.current.getBoundingClientRect();
    const sx=e.clientX-r.left,sy=e.clientY-r.top;
    lastMousePos.x=sx;lastMousePos.y=sy;
    if(dragRef.current.active){
      const dx=(e.clientX-dragRef.current.startX)/viewport.scale;
      const dy=(e.clientY-dragRef.current.startY)/viewport.scale;
      viewport.offsetX=clampOffset(dragRef.current.sx0-dx,'x');
      viewport.offsetY=clampOffset(dragRef.current.sy0-dy,'y');
      fu(n=>n+1);return;
    }
    const{ox,oy}=getOxOy();
    const{wx,wy}=screenToWorld(sx,sy,viewport);
    const{col,row}=fromIsoH(wx,wy,ox,oy,g.heights);
    setHover(col>=0&&col<COLS&&row>=0&&row<ROWS?{col,row}:null);},[getOxOy]);

  const onMouseDown=useCallback(e=>{
    if(!gs.current) return;
    if(e.button===2||(e.button===1)||(e.button===0&&e.altKey)){
      e.preventDefault();
      dragRef.current={active:true,startX:e.clientX,startY:e.clientY,sx0:viewport.offsetX,sy0:viewport.offsetY};
    }
  },[]);

  const onMouseUp=useCallback((e)=>{
    if(dragRef.current.active){
      const dist=Math.hypot(e.clientX-dragRef.current.startX,e.clientY-dragRef.current.startY);
      if(dist>5) dragRef.current.wasDragging=true;
    }
    dragRef.current.active=false;
  },[]);
  const onMouseLeave=useCallback(()=>{dragRef.current.active=false;},[]);

  const onClick=useCallback(e=>{if(!gs.current) return;
    if(dragRef.current.wasDragging){dragRef.current.wasDragging=false;return;}
    const g=gs.current;
    const r=cvRef.current.getBoundingClientRect();
    const{ox,oy}=getOxOy();
    const sx=e.clientX-r.left,sy=e.clientY-r.top;
    // Minimap click-to-navigate
    const mmX=CANVAS_W-MINIMAP_W-MINIMAP_MARGIN;
    const mmY=CANVAS_H-MINIMAP_H-MINIMAP_MARGIN;
    const rx=sx-mmX,ry=sy-mmY;
    if(rx>=0&&rx<=MINIMAP_W&&ry>=0&&ry<=MINIMAP_H){
      const isoW=(COLS+ROWS)*TW/2,isoH=(COLS+ROWS)*TH/2;
      const targetWX=(rx/MINIMAP_W)*isoW-CANVAS_W/2;
      const targetWY=(ry/MINIMAP_H)*isoH-CANVAS_H/2;
      viewport.offsetX=clampOffset(targetWX,'x');
      viewport.offsetY=clampOffset(targetWY,'y');
      fu(n=>n+1);return;
    }
    const{wx,wy}=screenToWorld(sx,sy,viewport);
    const{col,row}=fromIsoH(wx,wy,ox,oy,g.heights);
    if(col<0||col>=COLS||row<0||row>=ROWS){setPopup(null);setFlagPopup(null);return;}

    // ── ROAD BUILDING MODE ──────────────────────────────────
    if(roadMode) {
      const fromFlag = g.flags.find(f=>f.id===roadMode.fromFlagId);
      if(!fromFlag) { setRoadMode(null); return; }
      const last = roadMode.path.length > 0
        ? roadMode.path[roadMode.path.length-1]
        : {col:fromFlag.col, row:fromFlag.row};

      // Check if clicking an existing flag (to complete road — with auto-pathfinding)
      // Also check neighboring tiles because flag pennant renders ABOVE tile center
      let targetFlag = g.flags.find(f=>f.col===col&&f.row===row&&f.id!==roadMode.fromFlagId);
      if(!targetFlag) {
        const nearby = getNeighbors(col, row);
        for(const nb of nearby) {
          const f = g.flags.find(f=>f.col===nb.col&&f.row===nb.row&&f.id!==roadMode.fromFlagId);
          if(f) {
            const fIso = nodeIso(f.col,f.row,ox,oy,g.heights);
            const fSc=worldToScreen(fIso.x,fIso.y,viewport);
            if(sy < fSc.sy && Math.abs(sx - fSc.sx) < TW/2*viewport.scale) { targetFlag = f; break; }
          }
        }
      }
      if(targetFlag) {
        // Try auto-pathfinding from current last position to target flag
        const autoPath = findRoadPath(last.col, last.row, targetFlag.col, targetFlag.row, g.map, g.buildings);
        if(autoPath && autoPath.length > 0) {
          const fullPath = [
            {col: fromFlag.col, row: fromFlag.row},
            ...roadMode.path,
            ...autoPath
          ];
          g.roads.push({flagA: roadMode.fromFlagId, flagB: targetFlag.id, path: fullPath});
          setMsg(`Road built! ${fullPath.length-1} segments.`);
          setRoadMode(null);fu(n=>n+1);return;
        } else {
          setMsg("No valid path to that flag! Try placing intermediate flags.");
          return;
        }
      }

      // Extend path tile-by-tile (manual mode)
      const nbs = getNeighbors(last.col, last.row);
      const isNb = nbs.find(n=>n.col===col&&n.row===row);
      if(!isNb) { setMsg("Click an adjacent tile, or click a flag to auto-route."); return; }
      if(!canRoadPass(col, row, g.map, g.buildings)) {
        // If user clicked a BUILDING, try to redirect to its flag
        const bldg = g.buildings.find(b=>b.col===col&&b.row===row);
        if(bldg) {
          const bi = g.buildings.indexOf(bldg);
          const bFlag = g.flags.find(f=>f.buildingIdx===bi);
          if(bFlag && bFlag.id !== roadMode.fromFlagId) {
            // Auto-pathfind to this building's flag instead
            const autoPath = findRoadPath(last.col, last.row, bFlag.col, bFlag.row, g.map, g.buildings);
            if(autoPath && autoPath.length > 0) {
              const fullPath = [
                {col: fromFlag.col, row: fromFlag.row},
                ...roadMode.path,
                ...autoPath
              ];
              g.roads.push({flagA: roadMode.fromFlagId, flagB: bFlag.id, path: fullPath});
              setMsg(`Road built to ${B[bldg.type]?.n||"building"}! ${fullPath.length-1} segments.`);
              setRoadMode(null);fu(n=>n+1);return;
            }
          }
        }
        setMsg(bldg ? `Can't route through ${B[bldg.type]?.n||"building"} — click its flag nearby.` : "Can't build road here.");
        return;
      }
      if(roadMode.path.find(p=>p.col===col&&p.row===row)) { setMsg("Road can't cross itself."); return; }
      setRoadMode({...roadMode, path:[...roadMode.path, {col, row}]});
      setMsg("Extending road... click a flag to auto-complete, or ESC to cancel.");
      return;
    }

    // Close popups on any click
    if(popup){setPopup(null);return;}
    if(flagPopup){setFlagPopup(null);return;}

    // ── Check if clicking a FLAG (check clicked tile + neighbors, since pennant renders above tile center) ──
    let clickedFlag = g.flags.find(f=>f.col===col&&f.row===row);
    if(!clickedFlag) {
      // Pennant is drawn above the tile — check tiles below the click
      const nearby = getNeighbors(col, row);
      for(const nb of nearby) {
        const f = g.flags.find(f=>f.col===nb.col&&f.row===nb.row);
        if(f) {
          const fIso = nodeIso(f.col,f.row,ox,oy,g.heights);
          const fSc=worldToScreen(fIso.x,fIso.y,viewport);
          // Only snap if click is above the flag center (clicking on pennant)
          if(sy < fSc.sy && Math.abs(sx - fSc.sx) < TW/2*viewport.scale) { clickedFlag = f; break; }
        }
      }
    }
    if(clickedFlag){
      const iso=nodeIso(clickedFlag.col,clickedFlag.row,ox,oy,g.heights);
      const{sx:isoSx,sy:isoSy}=worldToScreen(iso.x,iso.y,viewport);
      setFlagPopup({flagId:clickedFlag.id, screenX:isoSx, screenY:isoSy,
        col:clickedFlag.col, row:clickedFlag.row, hasBldg: clickedFlag.buildingIdx!==undefined&&clickedFlag.buildingIdx!==null});
      return;
    }

    // ── Check if clicking a BUILDING ──────────────────────────
    const cl=g.buildings.find(b=>b.col===col&&b.row===row);
    if(cl){const d=B[cl.type];
      const bFlag=g.flags.find(f=>f.buildingIdx===g.buildings.indexOf(cl));
      const hqF=g.flags.find(f=>f.buildingIdx===0);
      const conn=hqF?getConnectedFlags(g.flags,g.roads,hqF.id):new Set();
      const isConn=bFlag&&conn.has(bFlag.id);
      setMsg(`${d.n}${d.p?" — produces "+d.p:""}${isConn?"":" ⚠ NOT CONNECTED — build a road!"}`);return;}

    // ── Check BQ for building placement ──────────────────────
    const bq=getBuildQuality(col,row,g.map,g.buildings,g.territory,g.flags,g.wldBQ);
    if(!bq){
      if(!g.territory.has(`${col},${row}`)) setMsg("Outside your territory.");
      else setMsg("Cannot build here.");
      return;
    }
    if(bq==="flag"){
      // Place a standalone flag
      const existingFlag = g.flags.find(f=>f.col===col&&f.row===row);
      if(existingFlag) {
        // Click existing flag — open flag popup
        const iso=nodeIso(col,row,ox,oy,g.heights);
        const{sx:isoSx,sy:isoSy}=worldToScreen(iso.x,iso.y,viewport);
        setFlagPopup({flagId:existingFlag.id, screenX:isoSx, screenY:isoSy, col, row});
      } else {
        g.flags.push({id:g.nextFlagId++, col, row, goods:[]});
        setMsg("Flag placed! Connect it with a road.");fu(n=>n+1);
      }
      return;
    }

    // Open building popup
    const iso=nodeIso(col,row,ox,oy,g.heights);
    const{sx:isoSx,sy:isoSy}=worldToScreen(iso.x,iso.y,viewport);
    setPopup({col,row,bq,screenX:isoSx,screenY:isoSy});
    setPopHover(null);
    setMsg("");
  },[popup,flagPopup,roadMode,getOxOy]);

  // ── Place building ─────────────────────────────────────────────
  const placeBuilding=useCallback((btype)=>{
    const g=gs.current;if(!g||!popup) return;
    const{col,row}=popup;
    const d=B[btype];if(!d) return;
    for(const[k,v]of Object.entries(d.c)){
      if((g.goods[k]||0)<v){setMsg(`Not enough ${k}! (need ${v}, have ${g.goods[k]||0})`);setPopup(null);return;}
    }
    for(const[k,v]of Object.entries(d.c)) g.goods[k]-=v;
    const bi = g.buildings.length;
    // Construction site: needs materials delivered before operational
    const hasCost = Object.values(d.c).some(v=>v>0);
    g.buildings.push({type:btype,col,row,timer:0,flagId:null,
      constructing: hasCost, constNeed:{...d.c}, constHave:{},constProgress:0});
    // Auto-place flag for this building
    const fp = getFlagPos(col, row, g.map, g.buildings, g.flags);
    let existingFlag = g.flags.find(f=>f.col===fp.col&&f.row===fp.row);
    if(!existingFlag) {
      existingFlag = {id:g.nextFlagId++, col:fp.col, row:fp.row, buildingIdx:bi, goods:[]};
      g.flags.push(existingFlag);
    } else {
      existingFlag.buildingIdx = bi;
      if(!existingFlag.goods) existingFlag.goods=[];
    }
    g.buildings[bi].flagId = existingFlag.id;
    // Place construction materials on HQ flag for delivery
    if(hasCost){
      const hqFlag = g.flags.find(f=>f.buildingIdx===0);
      if(hqFlag){
        for(const[mat,amt] of Object.entries(d.c)){
          for(let i=0;i<amt;i++){
            hqFlag.goods.push({type:mat, dest:existingFlag.id});
          }
        }
      }
    }
    // Territory expansion for military buildings
    if(d.mil){const rad=btype==="fortress"?6:btype==="watchtower"?5:MIL_RAD;
      for(let dy=-rad;dy<=rad;dy++) for(let dx=-rad;dx<=rad;dx++){
        if(Math.abs(dx)+Math.abs(dy)<=rad+1){let nx=col+dx,ny=row+dy;
          if(nx>=0&&nx<COLS&&ny>=0&&ny<ROWS) g.territory.add(`${nx},${ny}`);}}}
    if(g.map[row][col]===T.FOREST) g.map[row][col]=T.GRASS;
    if(hasCost){
      setMsg(`${d.n} construction site placed! Connect flag and materials will be delivered.`);
    } else {
      setMsg(`Built ${d.n}!`);
    }
    setPopup(null);fu(n=>n+1);
  },[popup]);

  // ── Start road building from a flag ────────────────────────────
  const startRoad=useCallback((flagId)=>{
    setFlagPopup(null);
    setRoadMode({fromFlagId: flagId, path:[]});
    setMsg("Road building mode: click a destination flag to auto-route. ESC to cancel.");
  },[]);

  // ── Zoom helper ──────────────────────────────────────────────────
  const zoomCentred=(delta)=>{
    const newScale=Math.max(ZOOM_MIN,Math.min(ZOOM_MAX,viewport.scale+delta));
    const cx=CANVAS_W/2,cy=CANVAS_H/2;
    const wx=cx/viewport.scale+viewport.offsetX;
    const wy=cy/viewport.scale+viewport.offsetY;
    viewport.scale=newScale;
    viewport.offsetX=clampOffset(wx-cx/newScale,'x');
    viewport.offsetY=clampOffset(wy-cy/newScale,'y');
  };

  // ── Centre viewport on HQ ────────────────────────────────────────
  const centreViewportOnHQ=()=>{
    const g=gs.current;if(!g) return;
    const hx=g.buildings[0]?g.buildings[0].col:Math.floor(COLS/2);
    const hy=g.buildings[0]?g.buildings[0].row:Math.floor(ROWS/2);
    const ox=CANVAS_W/2-(COLS-ROWS)*(TW/4);
    const worldPos=nodeIso(hx,hy,ox,30,g.heights);
    viewport.scale=1.0;
    viewport.offsetX=clampOffset(worldPos.x-CANVAS_W/2,'x');
    viewport.offsetY=clampOffset(worldPos.y-CANVAS_H/2,'y');
  };

  // ── Load WLD map ────────────────────────────────────────────────
  const loadMap=useCallback((parsedMap)=>{
    const g=gs.current;if(!g) return;
    const{width,height,nodes,title}=parsedMap;
    COLS=width;ROWS=height;
    const newMap=Array.from({length:height},()=>Array.from({length:width},()=>T.GRASS));
    const newHeights=Array.from({length:height},()=>Array.from({length:width},()=>0));
    const newBQ=Array.from({length:height},()=>Array.from({length:width},()=>0));
    const newRSUIds=Array.from({length:height},()=>Array.from({length:width},()=>8));
    const newLSDIds=Array.from({length:height},()=>Array.from({length:width},()=>8));
    for(let row=0;row<height;row++) for(let col=0;col<width;col++){
      const node=nodes[row*width+col];
      newHeights[row][col]=Math.round(node.height/HEIGHT_FACTOR);
      const obj=node.object;
      if(obj&&obj.kind==='tree') newMap[row][col]=T.FOREST;
      else if(node.terrainRSU==='mountain') newMap[row][col]=T.MOUNTAIN;
      else if(node.terrainRSU==='water'||node.terrainRSU==='snow') newMap[row][col]=T.WATER;
      else newMap[row][col]=T.GRASS;
      newBQ[row][col]=node.buildQuality;
      newRSUIds[row][col]=node.terrainRSUId??TERR_T_TO_ID[newMap[row][col]]??8;
      newLSDIds[row][col]=node.terrainLSDId??TERR_T_TO_ID[newMap[row][col]]??8;
    }
    const newObjects=Array.from({length:height},()=>Array.from({length:width},()=>null));
    for(let row=0;row<height;row++) for(let col=0;col<width;col++){
      const node=nodes[row*width+col];
      if(node.object) newObjects[row][col]=node.object;
    }
    const rawHq=parsedMap.hqPositions[0];
    const hqPos=(rawHq&&rawHq.x>=0&&rawHq.x<width&&rawHq.y>=0&&rawHq.y<height)?rawHq:{x:Math.floor(width/2),y:Math.floor(height/2)};
    const hx=hqPos.x,hy=hqPos.y;
    console.log(`[WLD] HQ at (${hqPos.x},${hqPos.y}), map ${width}\u00d7${height}, hqPositions:`,parsedMap.hqPositions);
    const ter=new Set();
    for(let dy=-HQ_RAD;dy<=HQ_RAD;dy++) for(let dx=-HQ_RAD;dx<=HQ_RAD;dx++){
      if(Math.abs(dx)+Math.abs(dy)<=HQ_RAD+1){const nx=hx+dx,ny=hy+dy;
        if(nx>=0&&nx<COLS&&ny>=0&&ny<ROWS) ter.add(`${nx},${ny}`);}}
    const goods={};GOODS.forEach(k=>goods[k]=0);
    goods.boards=6;goods.stones=6;goods.wood=4;goods.bread=2;goods.water=2;
    const hqFlag={id:0,col:Math.min(hx+1,width-1),row:hy,buildingIdx:0,goods:[]};
    g.map=newMap;g.heights=newHeights;g.wldBQ=newBQ;g.objects=newObjects;
    g.terrainRSUIds=newRSUIds;g.terrainLSDIds=newLSDIds;
    g.buildings=[{type:"hq",col:hx,row:hy,timer:0,flagId:0}];
    g.territory=ter;g.goods=goods;g.tick=0;
    g.flags=[hqFlag];g.roads=[];g.nextFlagId=1;
    g.figures=[];g.nextFigId=0;
    // Centre viewport on HQ
    centreViewportOnHQ();
    vboDirtyRef.current=true; // rebuild WebGL terrain VBO for new map
    setMsg(`Loaded: ${title||'WLD Map'} (${width}\u00d7${height})`);
    fu(n=>n+1);
  },[]);

  // ── Keyboard handler (ESC to cancel road mode) ─────────────────
  useEffect(()=>{
    const handler=e=>{
      if(e.key==="Escape"){
        if(roadMode){setRoadMode(null);setMsg("Road building cancelled.");}
        else{setPopup(null);setFlagPopup(null);}
      }
      const g=gs.current;if(!g) return;
      const KSTEP=SCROLL_STEP/viewport.scale;
      if(e.key==="ArrowLeft"){viewport.offsetX=clampOffset(viewport.offsetX-KSTEP,'x');fu(n=>n+1);}
      else if(e.key==="ArrowRight"){viewport.offsetX=clampOffset(viewport.offsetX+KSTEP,'x');fu(n=>n+1);}
      else if(e.key==="ArrowUp"){viewport.offsetY=clampOffset(viewport.offsetY-KSTEP,'y');fu(n=>n+1);}
      else if(e.key==="ArrowDown"){viewport.offsetY=clampOffset(viewport.offsetY+KSTEP,'y');fu(n=>n+1);}
      else if(e.key==="+"||e.key==="="){zoomCentred(+ZOOM_STEP);fu(n=>n+1);}
      else if(e.key==="-"){zoomCentred(-ZOOM_STEP);fu(n=>n+1);}
      else if(e.key==="Home"){centreViewportOnHQ();fu(n=>n+1);}
    };
    window.addEventListener("keydown",handler);
    return()=>window.removeEventListener("keydown",handler);
  },[roadMode]);

  // Right-click to undo last road segment
  const onContextMenu=useCallback(e=>{
    e.preventDefault();
    if(dragRef.current.wasDragging){dragRef.current.wasDragging=false;return;}
    if(roadMode && roadMode.path.length > 0) {
      setRoadMode({...roadMode, path: roadMode.path.slice(0, -1)});
      setMsg("Undid last road segment. Continue building or ESC to cancel.");
    }
  },[roadMode]);

  // ── Wheel zoom ──────────────────────────────────────────────────
  useEffect(()=>{
    const cv=cvRef.current;if(!cv) return;
    const handler=e=>{
      e.preventDefault();
      const dir=e.deltaY<0?1:-1;
      const oldScale=viewport.scale;
      const newScale=Math.max(ZOOM_MIN,Math.min(ZOOM_MAX,oldScale+dir*ZOOM_STEP));
      const ox=e.offsetX,oy=e.offsetY;
      const{wx:mouseWX,wy:mouseWY}=screenToWorld(ox,oy,viewport);
      viewport.scale=newScale;
      viewport.offsetX=clampOffset(mouseWX-ox/newScale,'x');
      viewport.offsetY=clampOffset(mouseWY-oy/newScale,'y');
      fu(n=>n+1);
    };
    cv.addEventListener('wheel',handler,{passive:false});
    return()=>cv.removeEventListener('wheel',handler);
  },[loaded]);

  if(!loaded) return(<div style={{display:"flex",alignItems:"center",justifyContent:"center",
    height:"100vh",background:"#1a2810",color:"#c8b890",fontFamily:"Georgia,serif"}}>
    <div style={{textAlign:"center"}}><div style={{fontSize:24,marginBottom:12}}>The Settlers II</div>
    <div style={{fontSize:14,opacity:0.7}}>Loading game assets...</div></div></div>);

  const g=gs.current,CW=CANVAS_W,CH=CANVAS_H;
  const resList=["boards","stones","wood","grain","flour","water","bread","coal","iron_ore","gold_ore","iron","gold_bar","beer","swords","shields","fish","meat"];

  let hoverLabel="";
  if(hover&&g&&!popup&&!flagPopup){
    if(roadMode) {
      const targetFlag = g.flags.find(f=>f.col===hover.col&&f.row===hover.row&&f.id!==roadMode.fromFlagId);
      hoverLabel = targetFlag ? "Click to connect road here" : "Click tile or flag";
    } else {
      const hBldg = g.buildings.find(b=>b.col===hover.col&&b.row===hover.row);
      if(hBldg) { const d=B[hBldg.type]; hoverLabel = d ? d.n : hBldg.type; }
      else {
        const hFlag = g.flags.find(f=>f.col===hover.col&&f.row===hover.row);
        if(hFlag) { hoverLabel = "Flag — click to build road"; }
        else {
          const bq=getBuildQuality(hover.col,hover.row,g.map,g.buildings,g.territory,g.flags,g.wldBQ);
          const labels={flag:"Place flag",hut:"Small building",house:"Medium building",castle:"Large building",mine:"Mine"};
          hoverLabel=bq?labels[bq]||"":"";
        }
      }
    }
  }

  const popupBuildings=popup?BQ_BUILDINGS[popup.bq]||[]:[];
  const ICON_SIZE=40, GRID_COLS=5;
  const popStyle=popup?{position:"absolute",
    left:Math.min(Math.max(popup.screenX-80,4),CW-220),
    top:Math.max(popup.screenY-160,4)}:null;
  const flagPopStyle=flagPopup?{position:"absolute",
    left:Math.min(Math.max(flagPopup.screenX-60,4),CW-160),
    top:Math.max(flagPopup.screenY-80,4)}:null;

  return(
    <div style={{display:"flex",background:"#1a1a10",height:"100vh",fontFamily:"'Segoe UI',sans-serif",overflow:"hidden"}}>
      <div style={{flex:1,display:"flex",flexDirection:"column"}}>
        {/* Resource bar */}
        <div style={{display:"flex",gap:4,padding:"5px 8px",background:"linear-gradient(#2e2a1a,#252010)",
          borderBottom:"2px solid #4a4020",flexWrap:"wrap",alignItems:"center"}}>
          {g&&resList.map(r=>g.goods[r]>0&&(
            <div key={r} style={{fontSize:11,color:"#b8a870",padding:"1px 5px",
              background:"rgba(60,50,30,0.7)",borderRadius:3,whiteSpace:"nowrap"}}>
              <b style={{color:"#e8d8a0"}}>{g.goods[r]}</b> {r.replace(/_/g," ")}</div>))}
          <div style={{marginLeft:"auto",fontSize:10,color:"#6a6040"}}>Tick {Math.floor((g?.tick||0)/PROD_TICKS)}</div>
          <button onClick={()=>{
            const input=document.createElement('input');
            input.type='file';input.accept='.wld,.swd,.WLD,.SWD';
            input.onchange=(e)=>{
              const file=e.target.files[0];if(!file) return;
              const reader=new FileReader();
              reader.onload=(ev)=>{
                try{loadMap(parseWLDMap(ev.target.result));}
                catch(err){alert('Failed to load map: '+err.message);}
              };
              reader.readAsArrayBuffer(file);
            };
            input.click();
          }} style={{marginLeft:8,padding:"1px 8px",fontSize:11,background:"linear-gradient(#5a4a28,#4a3a18)",
            color:"#e8d8a0",border:"1px solid #7a6a40",borderRadius:3,cursor:"pointer"}}>
            📂 Load Map (.WLD)
          </button>
        </div>
        {/* Canvas */}
        <div style={{flex:1,display:"flex",alignItems:"center",justifyContent:"center",
          background:"linear-gradient(#1a2810,#162008)",position:"relative"}}>
          <div style={{position:"relative",width:CW,height:CH}}>
            {/* WebGL terrain canvas (z-index 0, behind 2D canvas) */}
            <canvas ref={webglRef} width={CW} height={CH}
              style={{position:"absolute",top:0,left:0,zIndex:0,imageRendering:"pixelated",
                border:"1px solid #2a3a18",borderRadius:2,pointerEvents:"none"}} />
            {/* 2D canvas for sprites/buildings/figures/UI (z-index 1, transparent background) */}
            <canvas ref={cvRef} width={CW} height={CH} onMouseMove={onMove} onClick={onClick}
              onContextMenu={onContextMenu}
              onMouseDown={onMouseDown} onMouseUp={onMouseUp} onMouseLeave={onMouseLeave}
              style={{cursor:roadMode?"crosshair":"default",imageRendering:"pixelated",
                position:"absolute",zIndex:1,
                border:"1px solid #2a3a18",borderRadius:2}} />
            {/* ── BUILDING POPUP ──────────────────────── */}
            {popup&&<div style={{...popStyle,zIndex:10}} onClick={e=>e.stopPropagation()}>
              <div style={{
                background:"linear-gradient(135deg,#3a3018,#2a2410)",
                border:"2px solid #6a5830",borderRadius:6,
                boxShadow:"0 4px 16px rgba(0,0,0,0.6), inset 0 1px 0 rgba(180,160,100,0.15)",
                padding:6,minWidth:160}}>
                <div style={{display:"flex",justifyContent:"space-between",alignItems:"center",
                  marginBottom:4,paddingBottom:4,borderBottom:"1px solid rgba(100,80,40,0.5)"}}>
                  <span style={{fontSize:11,color:"#c8b878",fontWeight:"bold"}}>
                    {{hut:"Small Buildings",house:"Medium Buildings",castle:"Large Buildings",mine:"Mines"}[popup.bq]}</span>
                  <span onClick={()=>setPopup(null)} style={{cursor:"pointer",fontSize:10,color:"#8a7050",padding:"0 4px"}}>&times;</span>
                </div>
                <div style={{display:"grid",gridTemplateColumns:`repeat(${GRID_COLS},${ICON_SIZE}px)`,gap:2}}>
                  {popupBuildings.map(bkey=>{
                    const d=B[bkey];if(!d) return null;
                    const icSp=LS["ic_"+d.sp];
                    const canAfford=Object.entries(d.c).every(([k,v])=>(g?.goods[k]||0)>=v);
                    const isHov=popHover===bkey;
                    return(
                      <div key={bkey} onMouseEnter={()=>setPopHover(bkey)} onMouseLeave={()=>setPopHover(null)}
                        onClick={e=>{e.stopPropagation();if(canAfford) placeBuilding(bkey);
                          else setMsg(`Not enough resources for ${d.n}!`);}}
                        style={{width:ICON_SIZE,height:ICON_SIZE,display:"flex",alignItems:"center",justifyContent:"center",
                          background:isHov?"rgba(120,100,50,0.5)":"rgba(50,40,20,0.4)",
                          border:isHov?"1px solid #a89050":"1px solid rgba(80,60,30,0.4)",
                          borderRadius:3,cursor:canAfford?"pointer":"not-allowed",opacity:canAfford?1:0.35}}>
                        {icSp&&imgRef.current.comb&&(
                          <canvas width={icSp[2]} height={icSp[3]} ref={el=>{
                            if(!el) return;const c=el.getContext("2d");c.clearRect(0,0,icSp[2],icSp[3]);
                            c.drawImage(imgRef.current.comb,icSp[0],icSp[1],icSp[2],icSp[3],0,0,icSp[2],icSp[3]);
                          }} style={{imageRendering:"pixelated"}} />
                        )}
                      </div>);
                  })}
                </div>
                {popHover&&B[popHover]&&(
                  <div style={{marginTop:4,paddingTop:4,borderTop:"1px solid rgba(100,80,40,0.5)"}}>
                    <div style={{fontSize:11,color:"#e8d8a0",fontWeight:"bold"}}>{B[popHover].n}</div>
                    <div style={{fontSize:10,color:"#8a7a50",marginTop:1}}>
                      Costs: {Object.entries(B[popHover].c).map(([k,v])=>`${v} ${k}`).join(", ")||"Free"}</div>
                    {B[popHover].p&&<div style={{fontSize:10,color:"#7aaa50",marginTop:1}}>
                      Produces: {B[popHover].p.replace(/_/g," ")}</div>}
                    {B[popHover].i.length>0&&<div style={{fontSize:10,color:"#aa8a50",marginTop:1}}>
                      Needs: {B[popHover].i.join(", ").replace(/_/g," ")}</div>}
                  </div>
                )}
              </div>
            </div>}
            {/* ── FLAG POPUP ──────────────────────────── */}
            {flagPopup&&<div style={{...flagPopStyle,zIndex:10}} onClick={e=>e.stopPropagation()}>
              <div style={{
                background:"linear-gradient(135deg,#3a3018,#2a2410)",
                border:"2px solid #6a5830",borderRadius:6,
                boxShadow:"0 4px 16px rgba(0,0,0,0.6)",padding:8,minWidth:120}}>
                <div style={{fontSize:11,color:"#c8b878",fontWeight:"bold",marginBottom:6}}>Flag</div>
                <button onClick={()=>startRoad(flagPopup.flagId)}
                  style={{display:"block",width:"100%",padding:"4px 8px",fontSize:11,
                    background:"linear-gradient(#5a4a28,#4a3a18)",color:"#e8d8a0",
                    border:"1px solid #7a6a40",borderRadius:3,cursor:"pointer",marginBottom:3,
                    textAlign:"left"}}>
                  🛤 Build Road
                </button>
                {!flagPopup.hasBldg && (
                  <button onClick={()=>{
                    const g=gs.current;
                    const fi=g.flags.findIndex(f=>f.id===flagPopup.flagId);
                    if(fi>=0){
                      // Remove roads connected to this flag
                      g.roads=g.roads.filter(r=>r.flagA!==flagPopup.flagId&&r.flagB!==flagPopup.flagId);
                      g.flags.splice(fi,1);
                      setMsg("Flag removed.");
                    }
                    setFlagPopup(null);fu(n=>n+1);
                  }}
                  style={{display:"block",width:"100%",padding:"4px 8px",fontSize:11,
                    background:"linear-gradient(#5a2820,#4a1810)",color:"#e8a890",
                    border:"1px solid #7a4030",borderRadius:3,cursor:"pointer",
                    textAlign:"left"}}>
                  ✕ Remove Flag
                </button>
                )}
                <button onClick={()=>setFlagPopup(null)}
                  style={{display:"block",width:"100%",padding:"3px 8px",fontSize:10,marginTop:4,
                    background:"transparent",color:"#8a7a50",border:"none",cursor:"pointer",textAlign:"left"}}>
                  Cancel
                </button>
              </div>
            </div>}
          </div>
        </div>
        {/* Status bar */}
        <div style={{padding:"5px 10px",background:"linear-gradient(#252010,#2e2a1a)",
          borderTop:"2px solid #4a4020",color:"#c8b890",fontSize:12,display:"flex",alignItems:"center",gap:10}}>
          <span style={{flex:1}}>{msg}</span>
          {roadMode&&<span style={{fontSize:11,color:"#e8c860",padding:"1px 6px",
            background:"rgba(100,80,20,0.5)",borderRadius:3}}>🛤 Road Mode (ESC to cancel, right-click to undo)</span>}
          {hoverLabel&&!roadMode&&<span style={{fontSize:11,color:"#a0a070",padding:"1px 6px",
            background:"rgba(60,50,30,0.5)",borderRadius:3}}>{hoverLabel}</span>}
          <span style={{fontSize:10,color:"#6a6040"}}>
            {g?.buildings.length||0} bldg | {g?.roads.length||0} roads | {g?.figures?.length||0} workers
          </span>
        </div>
      </div>
    </div>);
}