datalets · google-labs-jules · Jan 18, 2026
diff --git a/.gitignore b/.gitignore
@@ -0,0 +1,2 @@
+node_modules
+package-lock.json
diff --git a/index.html b/index.html
@@ -2,18 +2,15 @@
 <html>
   <head>
     <meta charset="utf-8">
-    <title>Scatterwind</title>
-
+    <title>Wind Poem</title>
     <meta name="viewport" content="initial-scale=1, maximum-scale=1">
-
     <meta name="apple-mobile-web-app-capable" content="yes">
     <meta name="apple-mobile-web-app-status-bar-style" content="black">
-
     <link href="style.css" rel="stylesheet">
-    <link href="lib/colorbrewer.css" rel="stylesheet">
     <script src="lib/d3.js"></script>
   </head>
-  <body style="padding:0; margin:0; overflow:hidden">
-    <script src="scatter.js"></script>
+  <body>
+    <div id="poem-container"></div>
+    <script src="script.js"></script>
   </body>
 </html>
diff --git a/scatter.coffee b/scatter.coffee
diff --git a/script.coffee b/script.coffee
@@ -1,113 +1,63 @@
-w = 500
-h = 300
-padding = 30
-maxNumber = Math.random()*1000
-numDataPoints = 50
-dataset = (([Math.round(Math.random()*maxNumber),Math.round(Math.random()*maxNumber)]) for num in [1..numDataPoints])
-# console.log dataset
+# Function to fetch and parse wind data
+getWindData = ->
+  d3.text 'https://data.geo.admin.ch/ch.meteoschweiz.messwerte-aktuell/VQHA80.csv', (data) ->
+    rows = d3.csv.parseRows(data)
+    header = rows[0].join(';').split(';')
+    stationIndex = header.indexOf('station/time')
+    windDirIndex = header.indexOf('dkl010z0')
+    windSpeedIndex = header.indexOf('fu3010z0')
 
-xScale = d3.scale.linear()
-	.domain([0, d3.max(dataset,(d)->d[0] )])
-	.range([padding, w-padding * 2])
+    for row in rows
+      rowData = row.join(';').split(';')
+      if rowData[stationIndex] == 'GVE'
+        windDirection = parseFloat(rowData[windDirIndex])
+        windSpeed = parseFloat(rowData[windSpeedIndex])
+        generatePoem({direction: windDirection, speed: windSpeed})
+        return
 
+# --- LLM Integration Placeholder ---
+# NOTE: The following section is a placeholder for integrating a custom LLM API.
+# The current implementation uses a static poem as a fallback because free, no-key LLM APIs
+# were not compatible with the sandboxed environment.
+#
+# To use your own LLM:
+# 1. Replace `YOUR_API_ENDPOINT` with your LLM's endpoint URL.
+# 2. Add your API key to the request headers.
+# 3. Uncomment the `generatePoemWithLLM` function and call it from `generatePoem`.
+# 4. Modify the `prompt` and the response handling as needed for your specific API.
 
-yScale = d3.scale.linear()
-	.domain([0, d3.max(dataset, (d)->d[1])])
-  .range([h-padding, padding])
-
-xAxis = d3.svg.axis()
-    		.scale(xScale)
-      	.orient("bottom")
-        .ticks(5)
-
-yAxis = d3.svg.axis()
-        .scale(yScale)
-        .orient("left")
-        .ticks(5)
-
-
-svg = d3.select("body")
-			.append("svg")
-  		.attr(
-      			width: w
-      			height: h
-      )
-
-svg.append("clipPath")
-	.attr("id","chart-area")
-  .append("rect")
-  .attr(
-    x:padding
-    y:padding
-    width:w-padding*3
-    height:h-padding*2
-  )
-svg.append("g")
-	.attr(
-    id:"circles"
-    "clip-path":"url(#chart-area)"
-  )
-	.selectAll("circle")
-	.data(dataset)
-  .enter()
-  .append("circle")
-  .attr(
-    cx: (d)->xScale(d[0])
-    cy: (d)->yScale(d[1])
-    r:2 )
-
-svg.append("g")
-	.attr(
-  		class: "x axis"
-  		transform: "translate(0,#{h-padding})")
-  .call(xAxis)
-
-svg.append("g")
-	.attr(
-  		class: "y axis"
-  		transform: "translate(#{padding},0)")
-  .call(yAxis)
-
-
-
-d3.select("p")
-	.on("click", ->
-    numValues = dataset.length
-    maxNumber = Math.random() * 1000
-    dataset = (([Math.round(Math.random()*maxNumber),Math.round(Math.random()*maxNumber)]) for num in [1..numValues])
-
-    xScale.domain([0, d3.max(dataset,(d)->d[0])])
-    yScale.domain([0, d3.max(dataset,(d)->d[1])])
-
-    svg.selectAll("circle")
-    	.data(dataset)
-      .transition()
-      .duration(1000)
-      .each("start", ->
-        d3.select(@)
-        	.attr(
-            fill:"magenta"
-            r:7
-          )
-      )
-      .attr(
-        cx: (d)->xScale(d[0])
-        cy: (d)->yScale(d[1]))
-    	.each("end", ->
-        d3.select(@)
-        	.transition()
-          .duration(1000)
-        	.attr(
-            fill:"black"
-            r:2
-          )
-      )
-    svg.select(".x.axis")
-    	.transition()
-      .duration(1000)
-      .call(xAxis)
-    svg.select(".y.axis")
-    	.transition()
-      .duration(1000)
-      .call(yAxis)
-  )
+# generatePoemWithLLM = (windData) ->
+#   apiKey = "YOUR_API_KEY"
+#   apiEndpoint = "YOUR_API_ENDPOINT"
+#
+#   prompt = "Write a short poem about the wind, with a speed of #{windData.speed} km/h and a direction of #{windData.direction} degrees. Make a reference to Zephyr, the Greek god of the west wind."
+#
+#   d3.json(apiEndpoint)
+#     .header("Authorization", "Bearer " + apiKey)
+#     .post(JSON.stringify({ prompt: prompt }), (err, response) ->
+#       if err
+#         console.error "LLM API Error:", err
+#         displayPoem(staticPoem) # Fallback to static poem on error
+#       else
+#         displayPoem(response.poem) # Adjust based on your API's response structure
+#     )
+
+# Function to generate a poem.
+generatePoem = (windData) ->
+  # To use the LLM integration, comment out the line below and call generatePoemWithLLM(windData) instead.
+  poem = """
+    A gentle breeze, a whispered sigh,
+    From western skies where Zephyr flies.
+    The wind vane turns, a silent guide,
+    As currents drift and softly glide.
+  """
+  displayPoem(poem)
+
+
+# Function to display the poem
+displayPoem = (poem) ->
+  poemContainer = d3.select("#poem-container")
+  poemContainer.html(poem)
+
+# Initial call to fetch the data
+getWindData()
diff --git a/script.js b/script.js
diff --git a/style.css b/style.css
@@ -0,0 +1 @@
+/* Placeholder for styles */