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",
  "definition": {
    "version": "0.1.0",
    "name": "Data Aquarium",
    "description": "Turns up to 100 rows from an uploaded UTF-8 CSV into a deterministic local Canvas specimen-finding game. The upload is read only from Subfork artifact storage; gameplay makes no network calls.",
    "nodes": [
      {
        "node_instance_id": "file",
        "node_id": "n_asset",
        "node_version": "1.0.0",
        "title": "Upload aquarium CSV",
        "params": {
          "artifact_id": ""
        },
        "exposed_outputs": [
          "artifact",
          "filename",
          "media_type",
          "size_bytes"
        ],
        "outputs_visibility_configured": true
      },
      {
        "node_instance_id": "parse",
        "node_id": "n_csv_parse",
        "node_version": "1.0.0",
        "title": "Parse specimen rows",
        "params": {
          "delimiter": ",",
          "max_bytes": 1000000
        },
        "exposed_inputs": [
          "artifact"
        ],
        "inputs_visibility_configured": true
      },
      {
        "node_instance_id": "limit",
        "node_id": "n_limit",
        "node_version": "1.0.0",
        "title": "At most 100 specimens",
        "params": {
          "count": 100
        }
      },
      {
        "node_instance_id": "encode",
        "node_id": "n_json_stringify",
        "node_version": "1.0.0",
        "title": "HTML-safe specimen data",
        "params": {
          "html_safe": true
        }
      },
      {
        "node_instance_id": "page",
        "node_id": "n_html_template",
        "node_version": "1.0.0",
        "title": "Render Data Aquarium",
        "params": {
          "template": "<!doctype html>\n<html lang=\"en\"><head><meta charset=\"utf-8\"><meta name=\"viewport\" content=\"width=device-width,initial-scale=1\"><title>Data Aquarium</title>\n<style>*{box-sizing:border-box}body{margin:0;background:#04131b;color:#dff9ff;font:15px/1.4 system-ui,sans-serif}main{min-height:100vh;display:grid;grid-template-rows:auto 1fr;background:radial-gradient(circle at 25% 15%,#0d5266 0,#062837 38%,#03131c 75%)}header{display:flex;gap:18px;align-items:center;justify-content:space-between;padding:14px 18px;border-bottom:1px solid #7fe9ff35;background:#021017d9}h1{font-size:20px;margin:0;letter-spacing:.08em;text-transform:uppercase}.controls{display:flex;align-items:center;gap:10px;flex-wrap:wrap}label,.status{font:12px ui-monospace,monospace;color:#a8e9f3}select,button{background:#092936;color:#e9fcff;border:1px solid #58c8dc66;border-radius:6px;padding:7px 10px}button{cursor:pointer}.tank{position:relative;min-height:520px}canvas{width:100%;height:100%;display:block;touch-action:manipulation;cursor:crosshair}.hud{position:absolute;left:16px;top:16px;max-width:min(430px,calc(100% - 32px));background:#02141de8;border:1px solid #5bd6eb55;border-radius:9px;padding:12px;box-shadow:0 12px 34px #0008}.target{font-size:17px;margin:4px 0}.record{font:12px ui-monospace,monospace;color:#b8eaf2;white-space:pre-wrap;max-height:120px;overflow:auto}.error{color:#ffb4a8} @media(max-width:700px){header{align-items:flex-start;flex-direction:column}.tank{min-height:600px}}</style></head>\n<body><main><header><div><h1>Data Aquarium</h1><div class=\"status\"><span id=\"count\">0</span> specimens · click the requested fish</div></div><div class=\"controls\"><label>Label field <select id=\"field\"></select></label><button id=\"restart\" type=\"button\">New expedition</button><strong id=\"score\">0 / 0</strong></div></header><section class=\"tank\"><canvas id=\"tank\" aria-label=\"Interactive aquarium generated from CSV rows\"></canvas><aside class=\"hud\"><div class=\"status\" id=\"round\">EXPEDITION READY</div><div class=\"target\" id=\"target\">Upload a CSV and run the graph.</div><div class=\"status\">Match this value to a fish label.</div><div class=\"record\" id=\"record\"></div></aside></section></main>\n<script id=\"rows\" type=\"application/json\">{{ inputs.rows_json }}</script>\n<script>\n\"use strict\";\nconst canvas=document.getElementById(\"tank\"),ctx=canvas.getContext(\"2d\"),fieldSelect=document.getElementById(\"field\"),scoreEl=document.getElementById(\"score\"),targetEl=document.getElementById(\"target\"),roundEl=document.getElementById(\"round\"),recordEl=document.getElementById(\"record\");\nlet rows=[],fish=[],mission=[],step=0,score=0,misses=0,width=0,height=0,last=0;\nconst text=v=>String(v??\"\").trim(), hash=s=>{let h=2166136261;for(let i=0;i<s.length;i++){h^=s.charCodeAt(i);h=Math.imul(h,16777619)}return h>>>0};\nfunction fields(){const out=[];rows.slice(0,30).forEach(r=>Object.keys(r&&typeof r===\"object\"?r:{}).forEach(k=>{if(!out.includes(k)&&out.length<20)out.push(k)}));return out}\nfunction label(row,index){return text(row?.[fieldSelect.value])||text(Object.values(row||{}).find(v=>text(v)))||`row ${index+1}`}\nfunction resize(){const box=canvas.getBoundingClientRect(),d=Math.min(devicePixelRatio||1,2);width=Math.max(320,box.width);height=Math.max(420,box.height);canvas.width=Math.round(width*d);canvas.height=Math.round(height*d);ctx.setTransform(d,0,0,d,0,0)}\nfunction createFish(){fish=rows.map((row,index)=>{const h=hash(JSON.stringify(row));return{index,x:50+(h%Math.max(120,width-100)),y:90+((h>>>8)%Math.max(160,height-180)),vx:22+((h>>>16)%30),vy:-8+((h>>>24)%17),size:14+(h%11),hue:h%360}})}\nfunction restart(){const key=fieldSelect.value;mission=rows.map((_,i)=>i).sort((a,b)=>hash(key+JSON.stringify(rows[a]))-hash(key+JSON.stringify(rows[b]))).slice(0,Math.min(10,rows.length));step=score=misses=0;createFish();updateHud()}\nfunction updateHud(){scoreEl.textContent=`${score} / ${mission.length}`;if(!mission.length){roundEl.textContent=\"NO RECORDS\";targetEl.textContent=\"The CSV did not contain data rows.\";return}if(step>=mission.length){roundEl.textContent=`EXPEDITION COMPLETE · ${misses} misses`;targetEl.textContent=\"All requested specimens found.\";recordEl.textContent=\"Select New expedition to replay.\";return}const i=mission[step];roundEl.textContent=`SPECIMEN ${step+1} OF ${mission.length}`;targetEl.textContent=`Find: ${label(rows[i],i)}`;recordEl.textContent=\"\"}\nfunction drawFish(f){ctx.save();ctx.translate(f.x,f.y);if(f.vx<0)ctx.scale(-1,1);ctx.fillStyle=`hsl(${f.hue} 72% 52%)`;ctx.beginPath();ctx.ellipse(0,0,f.size*1.45,f.size*.72,0,0,Math.PI*2);ctx.fill();ctx.beginPath();ctx.moveTo(-f.size*1.2,0);ctx.lineTo(-f.size*2,-f.size*.75);ctx.lineTo(-f.size*2,f.size*.75);ctx.closePath();ctx.fill();ctx.fillStyle=\"#e9ffff\";ctx.beginPath();ctx.arc(f.size*.7,-f.size*.16,2.3,0,Math.PI*2);ctx.fill();ctx.restore()}\nfunction drawLabel(f){const full=label(rows[f.index],f.index),caption=full.length>18?full.slice(0,17)+\"…\":full;ctx.save();ctx.font=\"600 11px ui-monospace,monospace\";ctx.textAlign=\"center\";ctx.textBaseline=\"middle\";const w=ctx.measureText(caption).width+10,x=Math.max(w/2+2,Math.min(width-w/2-2,f.x)),y=Math.min(height-10,f.y+f.size+13);ctx.fillStyle=\"#02141ddd\";ctx.fillRect(x-w/2,y-9,w,18);ctx.fillStyle=\"#e9fcff\";ctx.fillText(caption,x,y);ctx.restore()}\nfunction frame(t){const dt=Math.min(.04,(t-last)/1000||0);last=t;ctx.clearRect(0,0,width,height);const g=ctx.createLinearGradient(0,0,0,height);g.addColorStop(0,\"#0a5166\");g.addColorStop(1,\"#031923\");ctx.fillStyle=g;ctx.fillRect(0,0,width,height);ctx.fillStyle=\"#9ef6ff22\";for(let i=0;i<24;i++){const x=(i*83+t*.012*(1+i%3))%width,y=height-((i*97+t*.025)%height);ctx.beginPath();ctx.arc(x,y,1+(i%4),0,Math.PI*2);ctx.fill()}fish.forEach(f=>{f.x+=f.vx*dt;f.y+=f.vy*dt;if(f.x>width+45)f.x=-45;if(f.x<-45)f.x=width+45;if(f.y<70||f.y>height-35)f.vy*=-1;drawFish(f)});fish.forEach(drawLabel);requestAnimationFrame(frame)}\ncanvas.addEventListener(\"pointerdown\",event=>{if(step>=mission.length)return;const r=canvas.getBoundingClientRect(),x=event.clientX-r.left,y=event.clientY-r.top;let hit=null,best=Infinity;fish.forEach(f=>{const d=Math.hypot(x-f.x,y-f.y);if(d<f.size*2&&d<best){hit=f;best=d}});if(!hit)return;if(hit.index===mission[step]){score++;recordEl.textContent=JSON.stringify(rows[hit.index],null,2);step++}else{misses++;recordEl.textContent=`Not this specimen: ${label(rows[hit.index],hit.index)}`};updateHud()});\nfieldSelect.addEventListener(\"change\",restart);document.getElementById(\"restart\").addEventListener(\"click\",restart);new ResizeObserver(()=>{resize();createFish()}).observe(canvas);\ntry{rows=JSON.parse(document.getElementById(\"rows\").textContent);if(!Array.isArray(rows)||rows.length>100)throw new Error(\"Expected at most 100 CSV rows.\");const fs=fields();if(!fs.length)throw new Error(\"The CSV has no usable columns.\");fs.forEach(k=>{const o=document.createElement(\"option\");o.value=k;o.textContent=k;fieldSelect.append(o)});document.getElementById(\"count\").textContent=String(rows.length);resize();restart();requestAnimationFrame(frame)}catch(error){roundEl.textContent=\"CANNOT START\";roundEl.className=\"status error\";targetEl.textContent=error instanceof Error?error.message:\"Unable to read aquarium data.\"}\n</script></body></html>"
        },
        "custom_inputs": {
          "rows_json": "str"
        },
        "exposed_inputs": [
          "rows_json"
        ],
        "inputs_visibility_configured": true,
        "exposed_outputs": [
          "html"
        ],
        "outputs_visibility_configured": true
      },
      {
        "node_instance_id": "response",
        "node_id": "n_html_response",
        "node_version": "1.0.0",
        "title": "Aquarium HTML response"
      },
      {
        "node_instance_id": "data_response",
        "node_id": "n_json_response",
        "node_version": "1.0.0",
        "title": "Specimen JSON response"
      }
    ],
    "edges": [
      {
        "source_node_id": "file",
        "source_output": "artifact",
        "target_node_id": "parse",
        "target_input": "artifact"
      },
      {
        "source_node_id": "parse",
        "source_output": "rows",
        "target_node_id": "limit",
        "target_input": "items"
      },
      {
        "source_node_id": "limit",
        "source_output": "items",
        "target_node_id": "encode",
        "target_input": "value"
      },
      {
        "source_node_id": "encode",
        "source_output": "text",
        "target_node_id": "page",
        "target_input": "rows_json"
      },
      {
        "source_node_id": "page",
        "source_output": "html",
        "target_node_id": "response",
        "target_input": "html"
      },
      {
        "source_node_id": "limit",
        "source_output": "items",
        "target_node_id": "data_response",
        "target_input": "value"
      }
    ],
    "graph_outputs": {
      "html": {
        "node_instance_id": "page",
        "output_name": "html"
      },
      "rows": {
        "node_instance_id": "limit",
        "output_name": "items"
      },
      "response": {
        "node_instance_id": "response",
        "output_name": "response"
      },
      "data_response": {
        "node_instance_id": "data_response",
        "output_name": "response"
      }
    },
    "metadata": {
      "template": {
        "category": "games",
        "status": "prototype",
        "summary": "Uploaded CSV rows become a deterministic local Canvas game.",
        "requires": {
          "nodes": [
            "n_asset",
            "n_csv_parse",
            "n_limit",
            "n_json_stringify",
            "n_html_template",
            "n_html_response",
            "n_json_response"
          ],
          "panels": [
            "html",
            "json"
          ],
          "capabilities": [
            "artifact-storage"
          ],
          "secrets": []
        }
      },
      "canvas": {
        "positions": {
          "file": {
            "x": 40,
            "y": 160
          },
          "parse": {
            "x": 620,
            "y": 160
          },
          "limit": {
            "x": 910,
            "y": 160
          },
          "encode": {
            "x": 1200,
            "y": 80
          },
          "page": {
            "x": 1490,
            "y": 80
          },
          "response": {
            "x": 1780,
            "y": 80
          },
          "data_response": {
            "x": 1200,
            "y": 360
          }
        },
        "recommended_panels": [
          {
            "kind": "html",
            "binding": {
              "nodeInstanceId": "page",
              "outputName": "html"
            }
          },
          {
            "kind": "json",
            "binding": {
              "nodeInstanceId": "limit",
              "outputName": "items"
            }
          }
        ]
      }
    }
  },
  "tags": [
    "games",
    "data"
  ]
}