LocalNetDynamics / tests /test_build.py
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LocalNet-Dynamics 1.0.0
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"""End-to-end tests for build_dataset.py, annotate.py, analyze.py and plot_figures.py.
A small raw run is synthesised in a temporary directory with the collector's
own schema so that the build pipeline, label rules, event join and figure
rendering can be exercised without network access. Nothing here is written
into the repository's dataset directory.
"""
import csv
import json
import math
import random
from datetime import datetime, timedelta, timezone
from pathlib import Path
import pytest
pd = pytest.importorskip("pandas")
import annotate # noqa: E402
import build_dataset as bd # noqa: E402
import collect_data as cd # noqa: E402
START = datetime(2026, 9, 6, 22, 0, 0, tzinfo=timezone.utc) # 18:00 local (UTC-4)
INTERVAL = 60
ROWS = 3 * 60 * 6 # 18 h of 1-minute samples
LOCAL_OFFSET = timedelta(hours=-4)
def write_synthetic_run(raw_dir: Path, run_id: str = "testhost_20260906_180000") -> Path:
rng = random.Random(7)
rows = []
for i in range(ROWS):
t = START + timedelta(seconds=i * INTERVAL)
if 400 <= i < 405: # simulated gap of five samples (machine asleep)
continue
s = cd.Sample(run_id=run_id, host_label="testhost", sample_index=i,
timestamp_utc=t.strftime("%Y-%m-%dT%H:%M:%SZ"),
timestamp_local=(t + LOCAL_OFFSET).strftime("%Y-%m-%dT%H:%M:%S-04:00"),
epoch_s=int(t.timestamp()), elapsed_s=float(i * INTERVAL),
link_type="wifi", gateway_ip="192.168.1.1", dns_server="192.168.1.1",
target="8.8.8.8")
base = 14.0 + 4.0 * math.sin((i / 60.0) / 24.0 * 2 * math.pi)
rtts = [max(1.0, rng.gauss(base, 1.2)) for _ in range(10)]
if i in (700, 701, 702): # simulated outage
rtts = []
elif i % 97 == 0: # occasional single lost packet
rtts = rtts[:9]
elif i == 900: # latency spike
rtts = [r + 120 for r in rtts]
st = cd.rtt_stats(rtts)
s.rtt_min_ms, s.rtt_avg_ms, s.rtt_median_ms = st["min"], st["avg"], st["median"]
s.rtt_max_ms, s.rtt_stddev_ms, s.jitter_ms = st["max"], st["stddev"], st["jitter"]
s.packets_sent, s.packets_received = 10, len(rtts)
s.packet_loss_pct = round(100.0 * (10 - len(rtts)) / 10, 1)
g = [max(0.3, rng.gauss(2.0, 0.5)) for _ in range(5)]
if i == 1000:
g = [r + 60 for r in g]
gst = cd.rtt_stats(g)
s.gateway_rtt_min_ms, s.gateway_rtt_avg_ms = gst["min"], gst["avg"]
s.gateway_rtt_max_ms, s.gateway_jitter_ms = gst["max"], gst["jitter"]
s.gateway_packet_loss_pct = 0.0
s.tcp_connect_min_ms = round(base - 0.5, 3)
s.tcp_connect_median_ms = round(base, 3)
s.dns_resolve_ms = round(rng.gauss(2.5, 0.4), 3)
s.dns_recursive_ms = round(rng.gauss(40, 8), 3)
s.http_ms, s.http_status = round(rng.gauss(60, 10), 3), 200
s.wifi_signal_pct = 80 + (i % 5)
s.wifi_rssi_dbm = cd.rssi_from_quality(s.wifi_signal_pct)
s.wifi_rx_mbps, s.wifi_tx_mbps = 866.7, 866.7
s.wifi_channel, s.wifi_band_ghz, s.wifi_phy = 36, 5.0, "802.11ax"
if i % 30 == 0:
s.download_mbps, s.upload_mbps = round(rng.gauss(450, 30), 2), round(rng.gauss(22, 2), 2)
s.speedtest_ping_ms = 1800000.0 if i == 60 else 9.5 # one failed latency probe
s.speedtest_server_id, s.speedtest_server = 1234, "Example ISP, Springfield"
s.sample_duration_s = 10.4
s.notes = "ping: no replies" if not rtts else ""
rows.append(cd.asdict(s))
raw_dir.mkdir(parents=True, exist_ok=True)
csv_path = raw_dir / f"localnet_{run_id}.csv"
with csv_path.open("w", newline="", encoding="utf-8") as f:
w = csv.DictWriter(f, fieldnames=cd.CSV_FIELDS)
w.writeheader()
w.writerows(rows)
meta = {"run_id": run_id, "collector_version": cd.COLLECTOR_VERSION, "status": "completed",
"interval_s": float(INTERVAL), "sample_count": len(rows),
"environment": {"os": "Windows-11-10.0.22631-SP0", "ping_resolution_ms": 1.0},
"network": {"link_type": "wifi"}}
csv_path.with_suffix(".json").write_text(json.dumps(meta), encoding="utf-8")
return csv_path
@pytest.fixture(scope="module")
def built(tmp_path_factory):
root = tmp_path_factory.mktemp("ds")
raw = root / "raw"
write_synthetic_run(raw)
# a manual annotation covering the simulated outage
annotate.main(["router rebooted", "--category", "maintenance",
"--start", "2026-09-07T09:39:30Z", "--end", "2026-09-07T09:43:00Z",
"--file", str(raw / "events.csv")])
card = root / "DATASET_CARD.md"
card.write_text("---\nsize_categories:\n - n<1K\n---\n# card\n\n"
f"{bd.CARD_BEGIN}\nold\n{bd.CARD_END}\n", encoding="utf-8")
bd.main(["--raw-dir", str(raw), "--out-dir", str(root), "--card", str(card)])
df = pd.read_csv(root / "localnet_dynamics.csv")
summary = json.loads((root / "summary.json").read_text(encoding="utf-8"))
return root, df, summary, card
def test_rows_and_columns(built):
root, df, summary, _ = built
assert len(df) == ROWS - 5
assert list(df.columns[:11]) == cd.CSV_FIELDS[:11]
assert df.columns[-1] == "notes"
for col in bd.RUN_COLUMNS + bd.TIME_COLUMNS + bd.LABEL_COLUMNS + bd.EVENT_COLUMNS:
assert col in df.columns
assert (root / "localnet_dynamics.parquet").exists()
assert summary["rows"] == len(df) and summary["runs"][0]["interval_s"] == 60.0
assert summary["runs"][0]["os"].startswith("Windows")
assert df["collector_os"].iloc[0] == "Windows" and df["rtt_resolution_ms"].iloc[0] == 1.0
def test_time_features_and_gaps(built):
_, df, summary, _ = built
first = df.iloc[0]
assert first["hour_local"] == 18 and first["date_local"] == "2026-09-06"
assert first["weekday_local"] == 6 and first["is_weekend"] == 1 # Sunday
gaps = df["gap_before_s"].dropna()
assert gaps.max() == 6 * INTERVAL and (gaps == INTERVAL).sum() == len(gaps) - 1
assert 99.0 < summary["coverage_pct"] < 100.0
def test_reference_labels(built):
_, df, summary, _ = built
outages = df[df["label_outage"] == 1]
assert list(outages["sample_index"]) == [700, 701, 702]
assert df.loc[df["sample_index"] == 900, "label_high_latency"].item() == 1
assert df.loc[df["sample_index"] == 1000, "label_gateway_degraded"].item() == 1
assert df.loc[df["sample_index"] == 97, "label_packet_loss"].item() == 1
assert df.loc[df["sample_index"] == 97, "label_outage"].item() == 0
assert df["label_high_latency"].sum() <= 5 # rule is not over-sensitive
assert (df["label_anomaly"] >= df["label_outage"]).all()
thr = summary["runs"][0]["thresholds"]["rtt_avg_ms"]
assert thr["threshold"] >= thr["median"] + 10.0
assert summary["labels"]["label_outage"]["rows"] == 3
def test_failed_speedtest_latency_is_missing(built):
_, df, summary, _ = built
tests = df[df["download_mbps"].notna()]
assert len(tests) == 36
assert tests["speedtest_ping_ms"].isna().sum() == 1
assert tests.loc[tests["sample_index"] == 60, "speedtest_ping_ms"].isna().all()
assert summary["metrics"]["speedtest_ping_ms"]["max"] == 9.5
def test_event_join(built):
_, df, summary, _ = built
tagged = df[df["event_category"].fillna("") != ""]
assert summary["events"] == 1
assert set(tagged["sample_index"]) == {700, 701, 702, 703}
assert (tagged["event_description"] == "router rebooted").all()
def test_card_updated(built):
_, _, summary, card = built
text = card.read_text(encoding="utf-8")
assert "old" not in text
assert f"| Rows | {summary['rows']:,} |" in text
assert "size_categories:\n - 1K<n<10K" in text
assert text.count(bd.CARD_BEGIN) == 1 and text.count(bd.CARD_END) == 1
def test_size_category():
assert bd.size_category(500) == "n<1K"
assert bd.size_category(86_400) == "10K<n<100K"
assert bd.size_category(2_000_000) == "1M<n<10M"
def test_analysis_json(built):
import analyze
root, df, summary, _ = built
analyze.main(["--input", str(root / "localnet_dynamics.csv"), "--no-report"])
a = json.loads((root / "analysis.json").read_text(encoding="utf-8"))
assert a["overview"]["rows"] == len(df)
assert len(a["hour_profile"]) == 18 and len(a["daily"]) == 2
assert len(a["outages"]) == 1 and a["outages"][0]["samples"] == 3
assert a["regimes"]["before"]["n"] + a["regimes"]["after"]["n"] == len(df)
assert a["speedtest"]["tests"] == 36 and a["speedtest"]["failed_latency_probe"] == 1
assert a["labels"]["counts"]["label_outage"] == 3
assert set(a["autocorrelation"]["values"]) >= {"log_rtt_avg_ms", "loss_indicator", "http_ms"}
def test_figures(built, tmp_path):
pytest.importorskip("matplotlib")
import plot_figures
root, _, _, _ = built
out = tmp_path / "figures"
plot_figures.main(["--input", str(root / "localnet_dynamics.csv"), "--out-dir", str(out)])
for name in ("overview_timeline", "diurnal_profile", "calendar_heatmaps", "tcp_vs_icmp",
"loss_anatomy", "regimes", "autocorrelation", "speedtest", "labels"):
assert (out / "png" / f"{name}.png").stat().st_size > 10_000, name
assert (out / "pdf" / f"{name}.pdf").stat().st_size > 1_000, name
def test_annotate_parses_local_and_utc_times():
assert annotate.parse_time("2026-09-12T16:00:00Z").isoformat() == "2026-09-12T16:00:00+00:00"
assert annotate.parse_time("2026-09-12 16:00+02:00").isoformat() == "2026-09-12T14:00:00+00:00"
local = annotate.parse_time("2026-09-12 16:00")
assert local.tzinfo == timezone.utc