Files
meshcore-stats/tests/reports/test_aggregation.py
Jorijn Schrijvershof ca13e31aae test: stabilize suite and broaden integration coverage (#32)
* tests: cache integration/report fixtures to speed up tests

* fix: speed up yearly aggregation and refresh timings report

* chore: remove the report

* fix: unrecognized named-value: 'runner'. Located at position 1 within expression: runner.temp

* fix: ruff linting error

* test: strengthen assertions and stabilize tests

* test(integration): expand rendered chart metrics
2026-01-08 21:20:34 +01:00

216 lines
8.0 KiB
Python

"""Tests for report data aggregation functions."""
from datetime import date, datetime
import pytest
from meshmon.db import insert_metrics
from meshmon.reports import (
DailyAggregate,
aggregate_daily,
aggregate_monthly,
aggregate_yearly,
get_rows_for_date,
)
BASE_DATE = date(2024, 1, 15)
BASE_TS = int(datetime(2024, 1, 15, 0, 0, 0).timestamp())
class TestGetRowsForDate:
"""Tests for get_rows_for_date function."""
def test_returns_list(self, initialized_db, configured_env):
"""Returns a list."""
result = get_rows_for_date("repeater", BASE_DATE)
assert isinstance(result, list)
def test_filters_by_date(self, initialized_db, configured_env):
"""Only returns rows for the specified date."""
# Insert data for different dates
ts_jan14 = int(datetime(2024, 1, 14, 12, 0, 0).timestamp())
ts_jan15 = int(datetime(2024, 1, 15, 12, 0, 0).timestamp())
ts_jan16 = int(datetime(2024, 1, 16, 12, 0, 0).timestamp())
insert_metrics(ts_jan14, "repeater", {"bat": 3800.0})
insert_metrics(ts_jan15, "repeater", {"bat": 3850.0})
insert_metrics(ts_jan16, "repeater", {"bat": 3900.0})
result = get_rows_for_date("repeater", BASE_DATE)
# Should have data for Jan 15 only
assert len(result) == 1
assert result[0]["ts"] == ts_jan15
assert result[0]["bat"] == 3850.0
def test_filters_by_role(self, initialized_db, configured_env):
"""Only returns rows for the specified role."""
ts = int(datetime(2024, 1, 15, 12, 0, 0).timestamp())
insert_metrics(ts, "repeater", {"bat": 3800.0})
insert_metrics(ts, "companion", {"battery_mv": 3850.0})
repeater_result = get_rows_for_date("repeater", BASE_DATE)
companion_result = get_rows_for_date("companion", BASE_DATE)
assert len(repeater_result) == 1
assert "bat" in repeater_result[0]
assert "battery_mv" not in repeater_result[0]
assert len(companion_result) == 1
assert "battery_mv" in companion_result[0]
assert "bat" not in companion_result[0]
def test_returns_empty_for_no_data(self, initialized_db, configured_env):
"""Returns empty list when no data for date."""
result = get_rows_for_date("repeater", BASE_DATE)
assert result == []
class TestAggregateDaily:
"""Tests for aggregate_daily function."""
def test_returns_daily_aggregate(self, initialized_db, configured_env):
"""Returns a DailyAggregate."""
result = aggregate_daily("repeater", BASE_DATE)
assert isinstance(result, DailyAggregate)
def test_calculates_gauge_stats(self, initialized_db, configured_env):
"""Calculates stats for gauge metrics."""
# Insert several values
for i, value in enumerate([3700.0, 3800.0, 3900.0, 4000.0]):
insert_metrics(BASE_TS + i * 3600, "repeater", {"bat": value})
result = aggregate_daily("repeater", BASE_DATE)
assert "bat" in result.metrics
bat_stats = result.metrics["bat"]
assert bat_stats.count == 4
assert bat_stats.min_value == 3700.0
assert bat_stats.max_value == 4000.0
assert bat_stats.mean == pytest.approx(3850.0)
assert bat_stats.min_time == datetime.fromtimestamp(BASE_TS)
assert bat_stats.max_time == datetime.fromtimestamp(BASE_TS + 3 * 3600)
def test_calculates_counter_total(self, initialized_db, configured_env):
"""Calculates total for counter metrics."""
# Insert increasing counter values
for i in range(5):
insert_metrics(BASE_TS + i * 900, "repeater", {"nb_recv": float(i * 100)})
result = aggregate_daily("repeater", BASE_DATE)
assert "nb_recv" in result.metrics
counter_stats = result.metrics["nb_recv"]
assert counter_stats.count == 5
assert counter_stats.reboot_count == 0
assert counter_stats.total == 400
def test_returns_empty_for_no_data(self, initialized_db, configured_env):
"""Returns aggregate with empty metrics when no data."""
result = aggregate_daily("repeater", BASE_DATE)
assert isinstance(result, DailyAggregate)
assert result.snapshot_count == 0
assert result.metrics == {}
class TestAggregateMonthly:
"""Tests for aggregate_monthly function."""
def test_returns_monthly_aggregate(self, initialized_db, configured_env):
"""Returns a MonthlyAggregate."""
from meshmon.reports import MonthlyAggregate
result = aggregate_monthly("repeater", 2024, 1)
assert isinstance(result, MonthlyAggregate)
def test_aggregates_all_days(self, initialized_db, configured_env):
"""Aggregates data from all days in month."""
# Insert data for multiple days
for day in [1, 5, 15, 20, 31]:
ts = int(datetime(2024, 1, day, 12, 0, 0).timestamp())
insert_metrics(ts, "repeater", {"bat": 3800.0 + day * 10})
result = aggregate_monthly("repeater", 2024, 1)
# Should have daily data
assert result.year == 2024
assert result.month == 1
assert len(result.daily) == 5
assert all(d.snapshot_count == 1 for d in result.daily)
summary = result.summary["bat"]
assert summary.count == 5
assert summary.min_value == 3810.0
assert summary.max_value == 4110.0
assert summary.mean == pytest.approx(3944.0)
assert summary.min_time.day == 1
assert summary.max_time.day == 31
def test_handles_partial_month(self, initialized_db, configured_env):
"""Handles months with partial data."""
# Insert data for only a few days
for day in [10, 11, 12]:
ts = int(datetime(2024, 1, day, 12, 0, 0).timestamp())
insert_metrics(ts, "repeater", {"bat": 3800.0})
result = aggregate_monthly("repeater", 2024, 1)
assert result.year == 2024
assert result.month == 1
assert len(result.daily) == 3
summary = result.summary["bat"]
assert summary.count == 3
assert summary.mean == pytest.approx(3800.0)
class TestAggregateYearly:
"""Tests for aggregate_yearly function."""
def test_returns_yearly_aggregate(self, initialized_db, configured_env):
"""Returns a YearlyAggregate."""
from meshmon.reports import YearlyAggregate
result = aggregate_yearly("repeater", 2024)
assert isinstance(result, YearlyAggregate)
def test_aggregates_all_months(self, initialized_db, configured_env):
"""Aggregates data from all months in year."""
# Insert data for multiple months
for month in [1, 3, 6, 12]:
ts = int(datetime(2024, month, 15, 12, 0, 0).timestamp())
insert_metrics(ts, "repeater", {"bat": 3800.0 + month * 10})
result = aggregate_yearly("repeater", 2024)
assert result.year == 2024
# Should have monthly aggregates
assert len(result.monthly) == 4
summary = result.summary["bat"]
assert summary.count == 4
assert summary.min_value == 3810.0
assert summary.max_value == 3920.0
assert summary.mean == pytest.approx(3855.0)
assert summary.min_time.month == 1
assert summary.max_time.month == 12
def test_returns_empty_for_no_data(self, initialized_db, configured_env):
"""Returns aggregate with empty monthly when no data."""
result = aggregate_yearly("repeater", 2024)
assert result.year == 2024
# Empty year may have no monthly data
assert result.monthly == []
def test_handles_leap_year(self, initialized_db, configured_env):
"""Correctly handles leap years."""
# Insert data for Feb 29 (2024 is a leap year)
ts = int(datetime(2024, 2, 29, 12, 0, 0).timestamp())
insert_metrics(ts, "repeater", {"bat": 3800.0})
result = aggregate_yearly("repeater", 2024)
assert result.year == 2024
months = [monthly.month for monthly in result.monthly]
assert 2 in months
assert result.summary["bat"].count == 1