spawn-access-control 0.1.12

A Rust library for access control management with WebAssembly support, including role-based access control (RBAC), permissions, and audit logging.
Documentation 
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<!DOCTYPE html>
<html>
  <head>
    <title>Security Analysis Report</title>
    <style>
      body {
        font-family: Arial, sans-serif;
        line-height: 1.6;
        margin: 0;
        padding: 20px;
      }
      .header {
        background: #f8f9fa;
        padding: 20px;
        border-bottom: 2px solid #dee2e6;
        margin-bottom: 30px;
      }
      .section {
        margin-bottom: 30px;
        padding: 20px;
        border: 1px solid #dee2e6;
        border-radius: 4px;
      }
      .critical {
        color: #dc3545;
      }
      .warning {
        color: #ffc107;
      }
      .info {
        color: #17a2b8;
      }
      .metric {
        display: flex;
        justify-content: space-between;
        padding: 10px;
        background: #f8f9fa;
        margin: 5px 0;
      }
      .chart {
        width: 100%;
        height: 300px;
        margin: 20px 0;
      }
    </style>
    <script src="https://cdn.plot.ly/plotly-latest.min.js"></script>
  </head>
  <body>
    <div class="header">
      <h1>Security Analysis Report</h1>
      <p>Generated at: {{timestamp}}</p>
    </div>

    <div class="section">
      <h2>Executive Summary</h2>
      <div class="metric">
        <span>Risk Level:</span>
        <span class="{{risk_level_class}}"
          >{{security_analysis.risk_level}}</span
        >
      </div>
      <div class="metric">
        <span>Total Events:</span>
        <span>{{summary.total_events}}</span>
      </div>
      <div class="metric">
        <span>Analysis Duration:</span>
        <span>{{summary.analysis_duration}}</span>
      </div>
    </div>

    <div class="section">
      <h2>Security Findings</h2>
      <div id="findingsChart" class="chart"></div>
      <ul>
        {{#each security_analysis.findings}}
        <li class="{{severity}}">
          <strong>{{finding_type}}</strong>: {{description}}
          <br />
          <small>Affected: {{affected_resources}}</small>
        </li>
        {{/each}}
      </ul>
    </div>

    <div class="section">
      <h2>Pattern Analysis</h2>
      <div id="patternsChart" class="chart"></div>
      <ul>
        {{#each pattern_analysis.patterns}}
        <li>
          <strong>{{pattern_type}}</strong>
          <br />
          Confidence: {{confidence}}
          <br />
          Frequency: {{frequency}}
        </li>
        {{/each}}
      </ul>
    </div>

    <div class="section">
      <h2>Time Series Analysis</h2>
      <div id="timeSeriesChart" class="chart"></div>
      <h3>Seasonality</h3>
      <ul>
        <li>
          Daily Pattern: {{time_series_analysis.seasonality.has_daily_pattern}}
        </li>
        <li>
          Weekly Pattern:
          {{time_series_analysis.seasonality.has_weekly_pattern}}
        </li>
        <li>
          Peak Hours: {{time_series_analysis.seasonality.daily_peak_hours}}
        </li>
      </ul>
    </div>

    <div class="section">
      <h2>Recommendations</h2>
      <ul>
        {{#each security_analysis.recommendations}}
        <li>{{this}}</li>
        {{/each}}
      </ul>
    </div>

    <script>
      // Findings Chart
      const findingsData = {
        values: JSON.parse("{{security_analysis.findings_distribution}}"),
        labels: JSON.parse("{{security_analysis.findings_labels}}"),
        type: "pie",
      };
      Plotly.newPlot("findingsChart", [findingsData], {
        title: "Findings Distribution",
      });

      // Patterns Chart
      const patternsData = {
        x: JSON.parse("{{pattern_analysis.pattern_times}}"),
        y: JSON.parse("{{pattern_analysis.pattern_values}}"),
        type: "scatter",
      };
      Plotly.newPlot("patternsChart", [patternsData], {
        title: "Pattern Distribution Over Time",
      });

      // Time Series Chart
      const timeSeriesData = {
        x: JSON.parse("{{time_series_analysis.timestamps}}"),
        y: JSON.parse("{{time_series_analysis.values}}"),
        type: "scatter",
      };
      Plotly.newPlot("timeSeriesChart", [timeSeriesData], {
        title: "Time Series Analysis",
      });
    </script>
  </body>
</html>