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