Switch to snippet-based reports
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6 changed files with 97 additions and 106 deletions
10
README.md
10
README.md
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@ -3,7 +3,7 @@ Per-domain Nginx log analytics with hybrid static reports and live insights.
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## Generating Reports
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Use the `generate_reports.py` script to build aggregated JSON and HTML files from `database/ngxstat.db`.
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Use the `generate_reports.py` script to build aggregated JSON and HTML snippet files from `database/ngxstat.db`.
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Create a virtual environment and install dependencies:
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@ -34,7 +34,7 @@ python scripts/generate_reports.py hourly --domain example.com
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python scripts/generate_reports.py weekly --all-domains
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```
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Reports are written under the `output/` directory. Each command updates the corresponding `<interval>.json` file and produces an HTML dashboard using Chart.js.
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Reports are written under the `output/` directory. Each command updates the corresponding `<interval>.json` file and writes one HTML snippet per report. These snippets are loaded dynamically by the main dashboard using Chart.js and DataTables.
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### Configuring Reports
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@ -44,8 +44,8 @@ and `value` columns. The special token `{bucket}` is replaced with the
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appropriate SQLite `strftime` expression for each interval (hourly, daily,
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weekly or monthly) so that a single definition works across all durations.
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When `generate_reports.py` runs, every definition is executed for the requested
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interval and creates `output/<interval>/<name>.json` along with an HTML
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dashboard.
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interval and creates `output/<interval>/<name>.json` plus a small HTML snippet
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`output/<interval>/<name>.html` used by the dashboard.
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Example snippet:
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@ -85,7 +85,7 @@ Use the `run-reports.sh` script to run all report intervals in one step. The scr
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./run-reports.sh
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```
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Running this script will create or update the hourly, daily, weekly and monthly reports under `output/`. It also detects all unique domains found in the database and writes per-domain reports to `output/domains/<domain>/<interval>` alongside the aggregate data.
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Running this script will create or update the hourly, daily, weekly and monthly reports under `output/`. It also detects all unique domains found in the database and writes per-domain reports to `output/domains/<domain>/<interval>` alongside the aggregate data. After generation, open `output/index.html` in your browser to browse the reports.
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## Serving Reports with Nginx
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@ -54,10 +54,12 @@ def _save_json(path: Path, data: List[Dict]) -> None:
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path.write_text(json.dumps(data, indent=2))
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def _render_html(interval: str, reports: List[Dict], out_path: Path) -> None:
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def _render_snippet(report: Dict, out_dir: Path) -> None:
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"""Render a single report snippet to ``<name>.html`` inside ``out_dir``."""
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env = Environment(loader=FileSystemLoader(TEMPLATE_DIR))
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template = env.get_template("report.html")
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out_path.write_text(template.render(interval=interval, reports=reports))
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template = env.get_template("report_snippet.html")
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snippet_path = out_dir / f"{report['name']}.html"
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snippet_path.write_text(template.render(report=report))
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def _bucket_expr(interval: str) -> str:
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@ -113,15 +115,16 @@ def _generate_interval(interval: str, domain: Optional[str] = None) -> None:
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"label": definition.get("label", name.title()),
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"chart": definition.get("chart", "line"),
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"json": f"{name}.json",
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"html": f"{name}.html",
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}
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if "color" in definition:
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entry["color"] = definition["color"]
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if "colors" in definition:
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entry["colors"] = definition["colors"]
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_render_snippet(entry, out_dir)
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report_list.append(entry)
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_save_json(out_dir / "reports.json", report_list)
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_render_html(interval, report_list, out_dir / "index.html")
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typer.echo(f"Generated {interval} reports")
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@ -4,6 +4,7 @@
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<meta charset="utf-8">
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<title>ngxstat Reports</title>
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<link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/bulma@0.9.4/css/bulma.min.css">
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<link rel="stylesheet" href="https://cdn.datatables.net/1.13.4/css/jquery.dataTables.min.css">
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</head>
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<body class="section">
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<div class="container">
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@ -31,42 +32,102 @@
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<span class="icon is-small is-left"><i data-feather="server"></i></span>
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</div>
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</div>
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<iframe id="report-frame" src="" style="width:100%;border:none;"></iframe>
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<div id="reports-container"></div>
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</div>
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<script src="https://cdn.jsdelivr.net/npm/feather-icons/dist/feather.min.js"></script>
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<script src="https://cdn.jsdelivr.net/npm/chart.js"></script>
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<script src="https://cdn.jsdelivr.net/npm/jquery@3.7.0/dist/jquery.min.js"></script>
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<script src="https://cdn.datatables.net/1.13.4/js/jquery.dataTables.min.js"></script>
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<script>
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const intervalSelect = document.getElementById('interval-select');
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const domainSelect = document.getElementById('domain-select');
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const iframe = document.getElementById('report-frame');
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const container = document.getElementById('reports-container');
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let currentInterval = intervalSelect.value;
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let currentDomain = domainSelect.value;
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function updateFrame() {
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function initReport(rep, base) {
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fetch(base + '/' + rep.json)
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.then(r => r.json())
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.then(data => {
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if (rep.chart === 'table') {
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const rows = data.map(x => [x.bucket, x.value]);
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new DataTable('#table-' + rep.name, {
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data: rows,
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columns: [
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{ title: 'Bucket' },
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{ title: 'Value' }
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]
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});
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return;
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}
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const labels = data.map(x => x.bucket);
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const values = data.map(x => x.value);
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const chartType = rep.chart === 'stackedBar' ? 'bar' : rep.chart;
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const options = { scales: { y: { beginAtZero: true } } };
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if (rep.chart === 'stackedBar') {
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options.scales.x = { stacked: true };
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options.scales.y.stacked = true;
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}
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const dataset = {
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label: rep.label,
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data: values,
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borderWidth: 1,
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fill: rep.chart !== 'bar' && rep.chart !== 'stackedBar'
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};
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if (rep.colors) {
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dataset.backgroundColor = rep.colors;
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dataset.borderColor = rep.colors;
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} else if (rep.color) {
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dataset.backgroundColor = rep.color;
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dataset.borderColor = rep.color;
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} else {
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dataset.backgroundColor = 'rgba(54, 162, 235, 0.5)';
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dataset.borderColor = 'rgba(54, 162, 235, 1)';
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}
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new Chart(document.getElementById('chart-' + rep.name), {
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type: chartType,
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data: {
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labels: labels,
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datasets: [dataset]
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},
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options: options
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});
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});
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}
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function loadReports() {
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let path = currentInterval;
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if (currentDomain) {
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path = 'domains/' + currentDomain + '/' + currentInterval;
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}
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iframe.src = path + '/index.html';
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fetch(path + '/reports.json')
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.then(r => r.json())
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.then(reports => {
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container.innerHTML = '';
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reports.forEach(rep => {
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fetch(path + '/' + rep.html)
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.then(r => r.text())
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.then(html => {
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container.insertAdjacentHTML('beforeend', html);
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initReport(rep, path);
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});
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});
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});
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}
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intervalSelect.addEventListener('change', () => {
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currentInterval = intervalSelect.value;
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updateFrame();
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loadReports();
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});
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domainSelect.addEventListener('change', () => {
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currentDomain = domainSelect.value;
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updateFrame();
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loadReports();
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});
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iframe.addEventListener('load', () => {
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try {
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iframe.style.height = iframe.contentDocument.body.scrollHeight + 'px';
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} catch (e) {}
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});
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updateFrame();
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loadReports();
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feather.replace();
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</script>
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</body>
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@ -1,84 +0,0 @@
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<!DOCTYPE html>
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<html>
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<head>
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<meta charset="utf-8">
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<title>{{ interval.title() }} Report</title>
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<link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/bulma@0.9.4/css/bulma.min.css">
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<link rel="stylesheet" href="https://cdn.datatables.net/1.13.4/css/jquery.dataTables.min.css">
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<script src="https://cdn.jsdelivr.net/npm/chart.js"></script>
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<script src="https://cdn.jsdelivr.net/npm/jquery@3.7.0/dist/jquery.min.js"></script>
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<script src="https://cdn.datatables.net/1.13.4/js/jquery.dataTables.min.js"></script>
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</head>
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<body class="section">
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<div class="container">
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<h1 class="title">{{ interval.title() }} Report</h1>
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{% for report in reports %}
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<div class="box">
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<h2 class="subtitle">{{ report.label }}</h2>
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{% if report.chart == 'table' %}
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<table id="table-{{ report.name }}" class="table is-striped"></table>
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{% else %}
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<canvas id="chart-{{ report.name }}"></canvas>
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{% endif %}
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</div>
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{% endfor %}
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</div>
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<script>
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const reports = {{ reports | tojson }};
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reports.forEach(rep => {
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fetch(rep.json)
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.then(r => r.json())
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.then(data => {
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if (rep.chart === 'table') {
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const rows = data.map(x => [x.bucket, x.value]);
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new DataTable('#table-' + rep.name, {
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data: rows,
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columns: [
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{ title: 'Bucket' },
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{ title: 'Value' }
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]
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});
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return;
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}
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const labels = data.map(x => x.bucket);
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const values = data.map(x => x.value);
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const chartType = rep.chart === 'stackedBar' ? 'bar' : rep.chart;
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const options = {
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scales: {
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y: { beginAtZero: true }
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}
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};
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if (rep.chart === 'stackedBar') {
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options.scales.x = { stacked: true };
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options.scales.y.stacked = true;
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}
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const dataset = {
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label: rep.label,
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data: values,
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borderWidth: 1,
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fill: rep.chart !== 'bar' && rep.chart !== 'stackedBar'
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};
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if (rep.colors) {
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dataset.backgroundColor = rep.colors;
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dataset.borderColor = rep.colors;
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} else if (rep.color) {
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dataset.backgroundColor = rep.color;
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dataset.borderColor = rep.color;
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} else {
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dataset.backgroundColor = 'rgba(54, 162, 235, 0.5)';
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dataset.borderColor = 'rgba(54, 162, 235, 1)';
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}
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new Chart(document.getElementById('chart-' + rep.name), {
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type: chartType,
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data: {
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labels: labels,
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datasets: [dataset]
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},
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options: options
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});
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});
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});
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</script>
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</body>
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</html>
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8
templates/report_snippet.html
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templates/report_snippet.html
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<div class="box">
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<h2 class="subtitle">{{ report.label }}</h2>
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{% if report.chart == 'table' %}
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<table id="table-{{ report.name }}" class="table is-striped"></table>
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{% else %}
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<canvas id="chart-{{ report.name }}"></canvas>
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{% endif %}
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</div>
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@ -106,6 +106,9 @@ def test_generate_interval(tmp_path, sample_reports, monkeypatch):
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assert error_rate[0]["value"] == pytest.approx(50.0)
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reports = json.loads((tmp_path / "output" / "hourly" / "reports.json").read_text())
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assert {r["name"] for r in reports} == {"hits", "error_rate"}
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for r in reports:
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snippet = tmp_path / "output" / "hourly" / r["html"]
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assert snippet.exists()
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def test_generate_interval_domain_filter(tmp_path, sample_reports, monkeypatch):
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