info/test.html at main · ZBZFirst/info · GitHub

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<!DOCTYPE html>
<html>
<head>
    <title>Oxygenation Index Dome Effect - Debug Mode</title>
    <script src="https://cdn.plot.ly/plotly-2.24.2.min.js"></script>
    <script src="https://cdn.jsdelivr.net/pyodide/v0.24.1/full/pyodide.js"></script>
    <style>
        body {
            font-family: Arial, sans-serif;
            margin: 20px;
        }
        #progress-container {
            width: 100%;
            background-color: #f1f1f1;
            margin-bottom: 20px;
        }
        #progress-bar {
            width: 0%;
            height: 30px;
            background-color: #4CAF50;
            text-align: center;
            line-height: 30px;
            color: white;
            transition: width 0.3s;
        }
        #debug-console {
            border: 1px solid #ccc;
            padding: 10px;
            height: 200px;
            overflow-y: scroll;
            margin-bottom: 20px;
            background-color: #f8f8f8;
            font-family: monospace;
            white-space: pre-wrap;
        }
        #calculation-steps {
            display: flex;
            flex-wrap: wrap;
            gap: 20px;
            margin-bottom: 20px;
        }
        .step-container {
            border: 1px solid #ddd;
            padding: 10px;
            flex: 1;
            min-width: 200px;
        }
        table {
            border-collapse: collapse;
            width: 100%;
            margin-top: 10px;
            font-size: 0.9em;
        }
        th, td {
            border: 1px solid #ddd;
            padding: 6px;
            text-align: left;
        }
        th {
            background-color: #f2f2f2;
        }
        .error {
            color: red;
            font-weight: bold;
        }
        .warning {
            color: orange;
        }
        .success {
            color: green;
        }
    </style>
</head>
<body>
    <h2>Oxygenation Index Dome Effect - Debug Mode</h2>

    <div id="progress-container">
        <div id="progress-bar">Initializing...</div>
    </div>

    <div id="debug-console"></div>

    <div id="calculation-steps">
        <div class="step-container" id="step1">
            <h3>Step 1: Raw Data</h3>
            <div id="raw-data-table">Loading...</div>
        </div>
        <div class="step-container" id="step2">
            <h3>Step 2: OI Calculation</h3>
            <div id="oi-calculation-table">Loading...</div>
        </div>
        <div class="step-container" id="step3">
            <h3>Step 3: Polar Conversion</h3>
            <div id="polar-conversion-table">Loading...</div>
        </div>
    </div>

    <div id="plot" style="width: 100%; height: 600px;"></div>

    <script type="text/javascript">
        // Debug console functions
        const debugConsole = document.getElementById('debug-console');

        function logToConsole(message, type = 'info') {
            const line = document.createElement('div');
            line.textContent = `[${new Date().toLocaleTimeString()}] ${message}`;
            line.className = type;
            debugConsole.appendChild(line);
            debugConsole.scrollTop = debugConsole.scrollHeight;
        }

        function updateProgress(percent, message) {
            const progressBar = document.getElementById('progress-bar');
            progressBar.style.width = percent + '%';
            progressBar.textContent = message;

            // Change color based on progress
            if (percent < 30) progressBar.style.backgroundColor = '#ff5722';
            else if (percent < 70) progressBar.style.backgroundColor = '#ffc107';
            else progressBar.style.backgroundColor = '#4CAF50';
        }

        function createTable(data, containerId) {
            const container = document.getElementById(containerId);

            if (!data || data.length === 0) {
                container.innerHTML = 'No data available';
                return;
            }

            try {
                let html = '<table><thead><tr>';

                // Create header
                Object.keys(data[0]).forEach(key => {
                    html += `<th>${key}</th>`;
                });
                html += '</tr></thead><tbody>';

                // Create rows (limit to 10 for display)
                const displayCount = Math.min(10, data.length);
                for (let i = 0; i < displayCount; i++) {
                    html += '<tr>';
                    Object.values(data[i]).forEach(value => {
                        html += `<td>${value}</td>`;
                    });
                    html += '</tr>';
                }

                html += '</tbody></table>';

                if (data.length > displayCount) {
                    html += `<div style="font-size:0.8em;color:#666;">Showing ${displayCount} of ${data.length} rows...</div>`;
                }

                container.innerHTML = html;
            } catch (error) {
                container.innerHTML = `Error creating table: ${error.message}`;
                logToConsole(`Table creation error: ${error.message}`, 'error');
            }
        }

        // Store the data globally
        let plotData = null;

        async function main() {
            try {
                logToConsole('Starting Pyodide initialization...');
                updateProgress(5, 'Loading Pyodide runtime...');

                // Load Pyodide
                const pyodide = await loadPyodide({
                    stdout: text => logToConsole(`PY: ${text}`),
                    stderr: text => logToConsole(`PY-ERR: ${text}`, 'error')
                });

                logToConsole('Pyodide loaded successfully', 'success');
                updateProgress(20, 'Loading Python packages...');

                // Load required packages
                await pyodide.loadPackage(['numpy', 'pandas']);
                logToConsole('Python packages loaded', 'success');
                updateProgress(30, 'Setting up Python environment...');

                // Expose JavaScript functions to Python FIRST
                pyodide.globals.set('js', {
                    displayRawData: rawData => {
                        logToConsole('Displaying raw data sample');
                        createTable(rawData, 'raw-data-table');
                    },
                    displayOICalculation: oiData => {
                        logToConsole('Displaying OI calculation sample');
                        createTable(oiData, 'oi-calculation-table');
                    },
                    displayPolarConversion: polarData => {
                        logToConsole('Displaying polar conversion sample');
                        createTable(polarData, 'polar-conversion-table');
                    },
                    updateProgress: updateProgress,
                    logToConsole: (message, type) => logToConsole(`PY->JS: ${message}`, type)
                });

                updateProgress(40, 'Generating data...');

                // Run Python code with intermediate steps
                await pyodide.runPythonAsync(`
import numpy as np
import pandas as pd

js.logToConsole("Starting data generation...", "info")

# Create the DataFrame with logging
fio2 = np.round(0.21 + 0.79 * np.random.rand(1000), 2)
map_values = np.round(np.random.uniform(low=5.0, high=50.0, size=1000))
pao2 = np.round(np.random.uniform(low=35.0, high=100.0, size=1000))

df = pd.DataFrame({
    'FiO2': fio2,
    'MAP': map_values,
    'PaO2': pao2,
})

js.logToConsole(f"Generated DataFrame with {len(df)} rows", "info")
js.updateProgress(50, "Processing raw data...")

# Send raw data to JS for display
raw_data = df.head(10).to_dict('records')
js.displayRawData(raw_data)

# Calculate OI
js.logToConsole("Calculating Oxygenation Index...", "info")
df['OI'] = np.round((df['FiO2'] * df['MAP'] * 100) / df['PaO2'])
js.updateProgress(60, "Calculating OI values...")

# Send OI calculation to JS
oi_data = df[['FiO2', 'MAP', 'PaO2', 'OI']].head(10).to_dict('records')
js.displayOICalculation(oi_data)

# Normalize PaO2
js.logToConsole("Normalizing PaO2 values...", "info")
df['PaO2_normalized'] = np.round((df['PaO2'] - df['PaO2'].min()) / (df['PaO2'].max() - df['PaO2'].min()), 2)
js.updateProgress(70, "Normalizing values...")

# Convert to polar coordinates
js.logToConsole("Converting to polar coordinates...", "info")
r = np.round(df['PaO2_normalized'] * 2, 2)
theta = np.round(df['FiO2'] * 2 * np.pi, 2)
df['x'] = np.round(r * np.cos(theta), 2)
df['y'] = np.round(r * np.sin(theta), 2)
js.updateProgress(80, "Coordinate conversion...")

# Send polar conversion to JS
polar_data = df[['PaO2_normalized', 'FiO2', 'x', 'y']].head(10).to_dict('records')
js.displayPolarConversion(polar_data)

# Prepare final data for plotting
js.logToConsole("Preparing final data for visualization...", "info")
data = {
    'x': df['x'].tolist(),
    'y': df['y'].tolist(),
    'z': df['OI'].tolist(),
    'color': df['PaO2_normalized'].tolist(),
    'text': ['PaO2: ' + str(p) + '<br>FiO2: ' + str(f) + '<br>MAP: ' + str(m) + '<br>OI: ' + str(o)
             for p, f, m, o in zip(df['PaO2'], df['FiO2'], df['MAP'], df['OI'])]
}

js.logToConsole("Data preparation complete", "success")
js.updateProgress(90, "Rendering plot...")

# Store data in a global Python variable that we can access from JS
final_data = data
                `);

                // Get the final data from Python
                plotData = pyodide.globals.get('final_data').toJs();
                logToConsole('Data generation complete', 'success');

                // Create the plot
                renderPlot();
                updateProgress(100, 'Complete!');
                logToConsole('Visualization rendered successfully', 'success');

            } catch (error) {
                logToConsole(`Error: ${error.message}`, 'error');
                updateProgress(0, `Error: ${error.message}`);
                console.error(error);
            }
        }

        function renderPlot() {
            if (!plotData) {
                logToConsole('No data available for plotting', 'error');
                return;
            }

            try {
                const trace = {
                    x: plotData.x,
                    y: plotData.y,
                    z: plotData.z,
                    text: plotData.text,
                    mode: 'markers',
                    marker: {
                        size: 5,
                        color: plotData.color,
                        colorscale: 'RdYlGn',
                        colorbar: { title: 'PaO2 Norm' },
                        showscale: true,
                        opacity: 0.8
                    },
                    type: 'scatter3d',
                    hoverinfo: 'text'
                };

                const layout = {
                    title: 'Oxygenation Index Dome Effect',
                    scene: {
                        xaxis: { title: 'X Coordinate' },
                        yaxis: { title: 'Y Coordinate' },
                        zaxis: { title: 'Oxygenation Index' },
                        camera: {
                            eye: { x: 1.5, y: 1.5, z: 0.8 }
                        }
                    },
                    autosize: true,
                    margin: { l: 0, r: 0, b: 0, t: 30 }
                };

                Plotly.newPlot('plot', [trace], layout);
                logToConsole('3D plot rendered successfully', 'success');
            } catch (error) {
                logToConsole(`Plot rendering error: ${error.message}`, 'error');
            }
        }

        // Start the application
        main();
    </script>
</body>
</html>