mirror of
https://github.com/Horizontal42/netsleuth.git
synced 2026-11-10 20:22:03 +03:00
245533f904
New metrics.py: collect_metrics() does the per-section extraction a flat dict walk can't (latency needs label/host/method, TLS label/host, path hops target/ttl/ip/asn), producing a flat Metric list that render_prometheus() and render_csv() each format in about 15 lines. Simpler than treating them as two separate renderers. FORMAT_EXTENSIONS gained "prom"/"csv" as the single wiring point both parse_formats() and Output._normalize_formats() already key off of. New history.py finds a previous JSON report for the same ASN by reusing the exact filename convention exporter.report_filename() already writes, so the lookup key can't drift from what's on disk. Wired into diagnose() before write_report() - a compact vs-previous-run summary (compare.py::render_diff_brief(), new) prints automatically whenever this run writes JSON and an earlier one exists for the same network; silent on every other case (first run, prior run wrote no JSON prints one note instead of guessing). New --no-auto-diff escapes it per run, history.auto_diff in config disables it entirely. New trend.py aggregates N saved JSON reports into per-label sparkline series via --trend N - read-only, and it doesn't touch the network to find "this network's" history either: history.latest_key() just reads it off the newest report filename already on disk. Growing FORMAT_EXTENSIONS to 5 entries broke three pre-existing tests that hardcoded the old 3-format set; fixed in this commit. Live-tested: prom/csv artifacts render correctly, auto-diff fired on a second run, --trend 3 produced readable output, --compare unaffected. Part of plans/zesty-zooming-wilkinson.md (gitignored).
76 lines
2.6 KiB
Python
76 lines
2.6 KiB
Python
from __future__ import annotations
|
|
|
|
from netsleuth.trend import build_trend, render_trend, series_summary
|
|
|
|
|
|
def _report(started_at: str, avg_ms: float | None, download: float | None, score: int | None) -> dict:
|
|
return {
|
|
"meta": {"started_at": started_at},
|
|
"latency": {"data": [{"label": "cloudflare-dns", "avg_ms": avg_ms}] if avg_ms is not None else []},
|
|
"speed": {"data": {"download_mbps": download}},
|
|
"interpretation": {"overall_score": score},
|
|
}
|
|
|
|
|
|
def test_build_trend_over_a_single_report():
|
|
trend = build_trend([_report("2026-01-01T00:00:00Z", 10.0, 100.0, 90)])
|
|
assert trend.timestamps == ["2026-01-01T00:00:00Z"]
|
|
assert trend.latency[0].label == "cloudflare-dns"
|
|
assert trend.latency[0].values == [10.0]
|
|
assert trend.download_mbps == [100.0]
|
|
assert trend.overall_score == [90]
|
|
|
|
|
|
def test_build_trend_over_two_reports():
|
|
reports = [
|
|
_report("2026-01-01T00:00:00Z", 10.0, 100.0, 90),
|
|
_report("2026-01-02T00:00:00Z", 12.0, 90.0, 85),
|
|
]
|
|
trend = build_trend(reports)
|
|
assert trend.latency[0].values == [10.0, 12.0]
|
|
assert trend.download_mbps == [100.0, 90.0]
|
|
|
|
|
|
def test_build_trend_handles_a_hole_when_a_label_is_missing_from_one_report():
|
|
reports = [
|
|
_report("2026-01-01T00:00:00Z", 10.0, 100.0, 90),
|
|
{"meta": {"started_at": "2026-01-02T00:00:00Z"}, "latency": {"data": []}, "speed": {"data": {}}, "interpretation": {}},
|
|
]
|
|
trend = build_trend(reports)
|
|
assert trend.latency[0].values == [10.0, None]
|
|
|
|
|
|
def test_build_trend_a_label_appearing_only_in_a_later_report():
|
|
reports = [
|
|
{"meta": {"started_at": "2026-01-01T00:00:00Z"}, "latency": {"data": []}, "speed": {"data": {}}, "interpretation": {}},
|
|
_report("2026-01-02T00:00:00Z", 8.0, 100.0, 90),
|
|
]
|
|
trend = build_trend(reports)
|
|
assert trend.latency[0].values == [None, 8.0]
|
|
|
|
|
|
def test_series_summary_basic_stats():
|
|
lo, median, hi, delta = series_summary([10.0, 20.0, 30.0])
|
|
assert lo == 10.0
|
|
assert median == 20.0
|
|
assert hi == 30.0
|
|
assert delta == 20.0
|
|
|
|
|
|
def test_series_summary_ignores_holes_for_min_max_median():
|
|
lo, median, hi, delta = series_summary([None, 10.0, None, 30.0, None])
|
|
assert lo == 10.0
|
|
assert hi == 30.0
|
|
assert delta == 20.0
|
|
|
|
|
|
def test_series_summary_all_none():
|
|
assert series_summary([None, None]) == (None, None, None, None)
|
|
|
|
|
|
def test_render_trend_produces_readable_output():
|
|
trend = build_trend([_report("2026-01-01T00:00:00Z", 10.0, 100.0, 90)])
|
|
text = render_trend(trend)
|
|
assert "Latency: cloudflare-dns" in text
|
|
assert "Download" in text
|
|
assert "Overall score" in text
|