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<!DOCTYPE html>
<html lang="en">
<head>
  <meta charset="UTF-8">
  <meta name="viewport" content="width=device-width, initial-scale=1.0">
  <title>AI Excel Analyzer</title>
  <script src="https://cdn.jsdelivr.net/npm/chart.js"></script>
  <script src="https://cdn.tailwindcss.com"></script>
</head>
<body class="bg-gray-100 flex items-center justify-center min-h-screen">
  <div class="bg-white/20 backdrop-blur-md rounded-2xl p-8 shadow-lg w-full max-w-4xl">
    <h1 class="text-3xl font-bold text-center text-white mb-6">AI Excel Analyzer</h1>

    <form id="uploadForm" class="mb-6">
      <input type="file" name="file" id="fileInput" class="mb-4 p-2 rounded border">
      <button type="submit" class="bg-blue-500 text-white px-4 py-2 rounded hover:bg-blue-600">Upload & Analyze</button>
    </form>

    <div id="metadataSection" class="text-white mb-4"></div>
    <div id="suggestionsSection" class="text-white mb-4"></div>

    <div class="bg-white/10 p-4 rounded-lg">
      <canvas id="chartCanvas" class="w-full h-96"></canvas>
    </div>
  </div>

<script>
const uploadForm = document.getElementById("uploadForm");
const metadataSection = document.getElementById("metadataSection");
const suggestionsSection = document.getElementById("suggestionsSection");
let uploadedFilePath = "";

uploadForm.addEventListener("submit", async (e) => {
  e.preventDefault();
  const fileInput = document.getElementById("fileInput");
  const formData = new FormData();
  formData.append("file", fileInput.files[0]);

  const response = await fetch("/upload", { method: "POST", body: formData });
  const data = await response.json();
  uploadedFilePath = data.file_path;

  metadataSection.innerHTML = `<pre>${JSON.stringify(data.metadata, null, 2)}</pre>`;
  suggestionsSection.innerHTML = "<h3>Select a suggestion:</h3>";

  data.analysis.Suggestion.forEach((s, i) => {
    const btn = document.createElement("button");
    btn.textContent = `Suggestion ${i+1}`;
    btn.className = "bg-green-500 text-white px-3 py-1 m-1 rounded hover:bg-green-600";
    btn.addEventListener("click", () => generatePlot(s));
    suggestionsSection.appendChild(btn);
  });
});

async function generatePlot(command) {
  const formData = new FormData();
  formData.append("command", command);
  formData.append("file_path", uploadedFilePath);

  const response = await fetch("/generate_plot", { method: "POST", body: formData });
  const vizData = await response.json();

  const ctx = document.getElementById("chartCanvas").getContext("2d");
  if(window.myChart) window.myChart.destroy();

  const data = JSON.parse(vizData.code); // Assuming Gemini outputs JSON data
  window.myChart = new Chart(ctx, {
    type: vizData.type,
    data: {
      labels: data.labels,
      datasets: [{ label: vizData.explanation, data: data.values, backgroundColor: "rgba(255,255,255,0.6)" }]
    },
    options: { responsive: true, plugins: { legend: { labels: { color: "white" }}}}
  });
}
</script>
</body>
</html>