buzeraandClaude Opus 5.5
3076beebfb
A single stale, unavailable, missing or invalid room sensor paused learning and forecasts for every room. That is not acceptable once the MPC may control heating. Now such a room is left out: the weighted temperature, learning and the optimizer use the remaining rooms with their weights re-normalized, and a room learns only across poll pairs where it was usable at both ends. Readiness considers only the rooms used. Everything pauses only when no room is usable or a shared input (relay, thermostat, outdoor temperature) is missing. A new setup/Configure checkbox, room_stale_use_last_value (default off), keeps using a stale room sensor's last value instead, for sensors that report only on change. It never applies to unavailable or invalid sensors, or to a sensor silent for more than 24 hours. Status adds excluded_rooms, weight_coverage and a per-room "used" flag. English and Romanian labels and help text added. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
55 lines
2.7 KiB
Python
55 lines
2.7 KiB
Python
"""Timestamp boundaries and UI translation coverage without HA dependencies."""
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import importlib.util
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import json
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import unittest
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from datetime import datetime, timedelta, timezone
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from pathlib import Path
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ROOT = Path(__file__).resolve().parents[1] / 'custom_components' / 'heating_mpc'
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spec = importlib.util.spec_from_file_location('quality', ROOT / 'data_quality.py')
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quality = importlib.util.module_from_spec(spec)
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spec.loader.exec_module(quality)
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class FreshnessTests(unittest.TestCase):
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def test_age_boundaries(self):
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now = datetime(2026, 10, 26, tzinfo=timezone.utc)
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for seconds, expected in ((0, 'valid'), (1800, 'valid'), (1801, 'stale'), (-1, 'future_timestamp')):
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with self.subTest(seconds=seconds):
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result = quality.freshness(now - timedelta(seconds=seconds), now, 1800)
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self.assertEqual(result['status'], expected)
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self.assertEqual(result['age_seconds'], seconds)
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def test_missing_naive_and_malformed_times(self):
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now = datetime.now(timezone.utc)
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for timestamp in (None, 'bad', datetime.now()):
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self.assertEqual(quality.freshness(timestamp, now, 1800)['status'], 'invalid_timestamp')
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def test_invalid_limits_rejected(self):
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now = datetime.now(timezone.utc)
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for limit in (0, -1, float('inf'), float('nan')):
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with self.assertRaises(ValueError):
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quality.freshness(now, now, limit)
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def test_report_age_history_keeps_24_hour_maximum(self):
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history = quality.ReportAgeHistory()
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start = datetime(2026, 10, 26, tzinfo=timezone.utc)
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self.assertEqual(history.observe('sensor.a', start, 2400), 2400)
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self.assertEqual(history.observe('sensor.b', start, 60), 60)
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for minutes in range(5, 24 * 60, 5):
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result = history.observe('sensor.a', start + timedelta(minutes=minutes), 300)
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self.assertEqual(result, 2400) # still inside the 24-hour window
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later = start + timedelta(hours=24, minutes=5)
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self.assertEqual(history.observe('sensor.a', later, 300), 300)
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self.assertEqual(history.observe('sensor.b', later, 30), 30)
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def test_freshness_settings_translated(self):
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for name in ('strings.json', 'translations/en.json', 'translations/ro.json'):
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data = json.loads((ROOT / name).read_text())
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for section, step in (('config', 'user'), ('options', 'init')):
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labels = data[section]['step'][step]['data']
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for key in ('room_max_age_minutes', 'weather_max_age_minutes', 'room_stale_use_last_value'):
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self.assertTrue(labels[key])
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help_text = data[section]['step'][step]['data_description']
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self.assertIn('24', help_text['room_stale_use_last_value'])
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