"""
Tests for metrics routes time series data.

Tests cover:
- Time series data handling
"""

from datetime import datetime, timedelta


class TestTimeSeriesData:
    """Tests for time series data handling."""

    def test_time_series_period_7d_boundary(self):
        """7 day period boundary is correct."""
        now = datetime.now()
        cutoff = now - timedelta(days=7)

        days_diff = (now - cutoff).days

        assert days_diff == 7

    def test_time_series_period_30d_boundary(self):
        """30 day period boundary is correct."""
        now = datetime.now()
        cutoff = now - timedelta(days=30)

        days_diff = (now - cutoff).days

        assert days_diff == 30

    def test_time_series_period_90d_boundary(self):
        """90 day period boundary is correct."""
        now = datetime.now()
        cutoff = now - timedelta(days=90)

        days_diff = (now - cutoff).days

        assert days_diff == 90

    def test_time_series_period_365d_boundary(self):
        """365 day period boundary is correct."""
        now = datetime.now()
        cutoff = now - timedelta(days=365)

        days_diff = (now - cutoff).days

        assert days_diff == 365

    def test_time_series_period_all_no_cutoff(self):
        """'All' period has no cutoff."""
        period = "all"

        has_cutoff = period != "all"

        assert not has_cutoff

    def test_time_series_date_grouping(self):
        """Data is grouped by date."""
        data = [
            {"date": "2024-01-01", "value": 10},
            {"date": "2024-01-01", "value": 20},
            {"date": "2024-01-02", "value": 15},
        ]

        grouped = {}
        for item in data:
            date = item["date"]
            if date not in grouped:
                grouped[date] = []
            grouped[date].append(item["value"])

        assert len(grouped["2024-01-01"]) == 2
        assert sum(grouped["2024-01-01"]) == 30

    def test_time_series_date_formatting(self):
        """Dates are formatted consistently."""
        date = datetime(2024, 1, 15)

        formatted = date.strftime("%Y-%m-%d")

        assert formatted == "2024-01-15"

    def test_time_series_gap_filling(self):
        """Gaps in data are filled with zeros."""
        data = {"2024-01-01": 10, "2024-01-03": 15}
        date_range = ["2024-01-01", "2024-01-02", "2024-01-03"]

        filled = {d: data.get(d, 0) for d in date_range}

        assert filled["2024-01-02"] == 0
        assert filled["2024-01-01"] == 10

    def test_time_series_aggregation_daily(self):
        """Daily aggregation works."""
        data = [
            {"date": "2024-01-01", "value": 5},
            {"date": "2024-01-01", "value": 10},
        ]

        daily_totals = {}
        for item in data:
            date = item["date"]
            daily_totals[date] = daily_totals.get(date, 0) + item["value"]

        assert daily_totals["2024-01-01"] == 15

    def test_time_series_aggregation_weekly(self):
        """Weekly aggregation works."""
        data = [
            {"week": 1, "value": 100},
            {"week": 1, "value": 50},
            {"week": 2, "value": 75},
        ]

        weekly_totals = {}
        for item in data:
            week = item["week"]
            weekly_totals[week] = weekly_totals.get(week, 0) + item["value"]

        assert weekly_totals[1] == 150
        assert weekly_totals[2] == 75

    def test_time_series_empty_periods(self):
        """Empty periods return empty list."""
        data = []

        if not data:
            result = {"data": [], "labels": []}
        else:
            result = {"data": data}

        assert result["data"] == []

    def test_time_series_single_data_point(self):
        """Single data point is handled."""
        data = [{"date": "2024-01-01", "value": 42}]

        assert len(data) == 1
        assert data[0]["value"] == 42

    def test_time_series_timezone_handling(self):
        """Timezones are handled consistently."""
        from datetime import timezone

        utc_time = datetime.now(timezone.utc)
        local_time = datetime.now()

        # Both should have same date
        assert (
            utc_time.date() == local_time.date()
            or abs((utc_time.date() - local_time.date()).days) <= 1
        )

    def test_time_series_large_dataset(self):
        """Large datasets are handled."""
        data = [{"date": f"2024-01-{i:02d}", "value": i} for i in range(1, 32)]

        assert len(data) == 31

    def test_time_series_performance(self):
        """Time series processing is efficient."""
        import time

        data = [{"date": "2024-01-01", "value": i} for i in range(10000)]

        start = time.time()
        total = sum(item["value"] for item in data)
        elapsed = time.time() - start

        assert elapsed < 1.0  # Should be fast
        assert total == sum(range(10000))
