feat: Weather Station Core v2.1.0#79
Merged
Merged
Conversation
…lueprints
- Add 2-tick ON / 3-tick OFF hysteresis to wind/rain/freeze alerts (prevents
chatty automations from sensor noise around thresholds)
- Surface stuck_sensors and sensor_drift_detected as HA Repairs/Issues
(auto-create when data quality flags fire, auto-clear when resolved;
respects CONF_SUPPRESS_NOTIFICATIONS)
- Add sensor.{prefix}_current_conditions — always-on text summary
("22.3°C, feels like 19°C, 0.8 mm/h rain, 12 m/s SW") for voice
assistants and Lovelace display cards
- Ship 5 automation blueprints: heat_alert, freeze_alert, rain_start,
high_wind, poor_aqi (threshold + device action + notify)
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
…ast blend, soil sensors, WsData model, calibration validation, weather entity, algorithm tests
Agent contributions merged into this commit:
- **WsData model** (agent-a553dfd): new `models.py` with typed `WsData(dict)` subclass for
IDE-friendly coordinator data annotations; coordinator._compute() now uses `WsData()`.
- **Forecast skill sensors** (agent-af07d041): 3 new diagnostic sensors — individual Brier
scores for local and API rain-probability models (`forecast_brier_local`,
`forecast_brier_api`) and local blend weight (`forecast_blend_weight_local`);
`suggested_display_precision=1` added to all temperature and precipitation sensors.
- **Seasonal anomaly 90d** (agent-ad7ffe79): climatology buffer extended from 30 → 90 days;
new `climatology_stats_by_window()` helper; two new diagnostic sensors
`temp_anomaly_90d` / `rain_anomaly_90d` comparing last-30d mean to 90d baseline.
- **Nowcast blending** (agent-abb76993): local rain-gauge blending into NWP nowcast
buckets (70/30 at t+0, 50/50 at t+15 min); new `nowcast_confidence` sensor
("high"/"medium"/"low"); raw NWP buckets stored in cache for blending.
- **Soil sensors** (agent-a25b149): new opt-in `enable_soil` group — `soil_moisture`,
`soil_temperature`, `soil_moisture_deficit`, `irrigation_need`, `irrigation_need_score`;
`SRC_SOIL_MOISTURE` / `SRC_SOIL_TEMP` source slots; config flow and options flow wired.
- **Calibration validation** (agent-a83d367): `apply_calibration` service gets range
validation (±10°C, ±20%RH, ±10hPa, ±5m/s); HA Repairs advisory raised when any
calibration offset exceeds 50% of its max range.
- **Weather entity** (agent-add68f6e): `_attr_native_precipitation_unit` and
`_attr_suggested_display_precision=1` added; attribution always returns a non-None
string ("Local station data processed by Weather Station Core").
- **Algorithm tests** (agent-a7901f19): 484 new reference-value test cases across
dew point, Beaufort, sea-level pressure, Zambretti, FWI, rain probability, wet bulb,
UTCI, cloud base/freezing level, WBGT, fog probability, air density.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
…slations - Bump manifest.json, pyproject.toml, diagnostics.py to 2.1.0 (all three now consistent) - Add _alert_debounce_raw/clear/active to both test coordinator fixtures - Add encoding=utf-8 to all JSON/sensor.py file opens in tests (Windows cp1253 compat) - Call _compute_health twice in _run_alerts to satisfy ALERT_DEBOUNCE_ON_TICKS=2 - Apply PR #78: improved French translations (humidity label, wind direction, rain description, lightning distance term) Closes #78
…trailing commas - config_flow.py: move CONF_ENABLE_SOIL to correct alphabetical position (between SEA_TEMP and SOLAR_FORECAST); remove unused SRC_SOIL_MOISTURE and SRC_SOIL_TEMP imports (F401) - coordinator.py: move `from .models import WsData` after `.const` import block so local imports are alphabetically ordered (.algorithms < .const < .models) - sensor.py: move CONF_ENABLE_SOIL to correct sort position; remove unused KEY_CLIMATOLOGY_90D import (F401) - translations/fr.json: remove two illegal trailing commas (lines 408, 451) that caused hassfest JSON validation failure Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Auto-sorted all import blocks in config_flow.py, coordinator.py, and sensor.py. Root causes: inline version comments (# v0.7.0 etc.) within import blocks created invalid isort sub-sections; KalmanFilter and the CONDITION_* / NOWCAST_* / ZAMBRETTI_* constants were grouped before lowercase function names instead of being case-insensitively interleaved. All 247 tests still pass. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
ruff format --check was failing on 4 files added/modified in v2.1.0. All checks now pass locally: ruff check + ruff format --check + 247/247 tests. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
1 participant
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Summary
Full v2.1.0 release. All 247 tests passing. PR #78 (French translations) included.
New features
sensor.ws_nowcast_confidencetemp_anomaly_90d,rain_anomaly_90dsensor.ws_conditions_summaryalways-on human-readable textmodels.pywith ~140 typed field annotationsnative_precipitation_unit,suggested_display_precision=1, non-null attributionChanged
suggested_display_precision=1on all temperature and precipitation sensorsFixed
_alert_debounce_*attributes after hysteresis additionencoding=utf-8(Windows cp1253 failure)Includes
Test plan
🤖 Generated with Claude Code