feat(van_weather): remove python van_weather and apscheduler
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This commit was merged in pull request #67.
This commit is contained in:
2026-09-08 14:44:39 -04:00
parent 2882960a8e
commit 3ebead7663
6 changed files with 0 additions and 370 deletions
-1
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@@ -10,7 +10,6 @@
"aiounifi", "aiounifi",
"alsa", "alsa",
"apiclient", "apiclient",
"apscheduler",
"archlinux", "archlinux",
"ashift", "ashift",
"asrouter", "asrouter",
-1
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@@ -20,7 +20,6 @@
ps: with ps; [ ps: with ps; [
alembic alembic
apprise apprise
apscheduler
fastapi fastapi
fastapi-cli fastapi-cli
httpx httpx
-2
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@@ -11,7 +11,6 @@ license = "MIT"
dependencies = [ dependencies = [
"alembic", "alembic",
"apprise", "apprise",
"apscheduler",
"beautifulsoup4", "beautifulsoup4",
"bm25s", "bm25s",
"ebooklib", "ebooklib",
@@ -20,7 +19,6 @@ dependencies = [
"httpx", "httpx",
"jinja2", "jinja2",
"pgvector", "pgvector",
"polars",
"psycopg[binary]", "psycopg[binary]",
"pydantic", "pydantic",
"pydantic-settings", "pydantic-settings",
-1
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@@ -1 +0,0 @@
"""Van weather service - fetches weather with masked GPS location."""
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"""Van weather service - fetches weather with masked GPS for privacy."""
import logging
from datetime import UTC, datetime
from typing import Annotated, Any
import httpx
import typer
from apscheduler.schedulers.blocking import BlockingScheduler
from tenacity import before_sleep_log, retry, stop_after_attempt, wait_fixed
from python.common import configure_logger
from python.van_weather.models import Config, DailyForecast, HourlyForecast, Weather
# Map Pirate Weather icons to Home Assistant conditions
CONDITION_MAP = {
"clear-day": "sunny",
"clear-night": "clear-night",
"rain": "rainy",
"snow": "snowy",
"sleet": "snowy-rainy",
"wind": "windy",
"fog": "fog",
"cloudy": "cloudy",
"partly-cloudy-day": "partlycloudy",
"partly-cloudy-night": "partlycloudy",
}
logger = logging.getLogger(__name__)
@retry(
stop=stop_after_attempt(3),
wait=wait_fixed(5),
before_sleep=before_sleep_log(logger, logging.WARNING),
reraise=True,
)
def get_ha_state(url: str, token: str, entity_id: str) -> float:
"""Get numeric state from Home Asasistant entity."""
response = httpx.get(
f"{url}/api/states/{entity_id}",
headers={"Authorization": f"Bearer {token}"},
timeout=30,
)
response.raise_for_status()
state = response.json()["state"]
if state in ("unavailable", "unknown"):
error = f"{entity_id} is {state}"
raise ValueError(error)
return float(state)
def parse_daily_forecast(data: dict[str, dict[str, Any]]) -> list[DailyForecast]:
"""Parse daily forecast from Pirate Weather API."""
daily = data.get("daily", {}).get("data", [])
daily_forecasts = []
for day in daily[:8]: # Up to 8 days
time_stamp = day.get("time")
if time_stamp:
date_time = datetime.fromtimestamp(time_stamp, tz=UTC).isoformat()
daily_forecasts.append(
DailyForecast(
date_time=date_time,
condition=CONDITION_MAP.get(day.get("icon", ""), "cloudy"),
temperature=day.get("temperatureHigh"),
templow=day.get("temperatureLow"),
precipitation_probability=day.get("precipProbability"),
moon_phase=day.get("moonPhase"),
wind_gust=day.get("windGust"),
cloud_cover=day.get("cloudCover"),
)
)
return daily_forecasts
def parse_hourly_forecast(data: dict[str, dict[str, Any]]) -> list[HourlyForecast]:
"""Parse hourly forecast from Pirate Weather API."""
hourly = data.get("hourly", {}).get("data", [])
hourly_forecasts = []
for hour in hourly[:48]: # Up to 48 hours
time_stamp = hour.get("time")
if time_stamp:
date_time = datetime.fromtimestamp(time_stamp, tz=UTC).isoformat()
hourly_forecasts.append(
HourlyForecast(
date_time=date_time,
condition=CONDITION_MAP.get(hour.get("icon", ""), "cloudy"),
temperature=hour.get("temperature"),
precipitation_probability=hour.get("precipProbability"),
)
)
return hourly_forecasts
@retry(
stop=stop_after_attempt(3),
wait=wait_fixed(5),
before_sleep=before_sleep_log(logger, logging.WARNING),
reraise=True,
)
def fetch_weather(api_key: str, lat: float, lon: float) -> Weather:
"""Fetch weather from Pirate Weather API."""
url = f"https://api.pirateweather.net/forecast/{api_key}/{lat},{lon}"
response = httpx.get(url, params={"units": "us"}, timeout=30)
response.raise_for_status()
data = response.json()
daily_forecasts = parse_daily_forecast(data)
hourly_forecasts = parse_hourly_forecast(data)
current = data.get("currently", {})
icon = current.get("icon", "")
return Weather(
temperature=current.get("temperature"),
feels_like=current.get("apparentTemperature"),
humidity=current.get("humidity"),
wind_speed=current.get("windSpeed"),
wind_bearing=current.get("windBearing"),
condition=CONDITION_MAP.get(icon, "cloudy"),
summary=current.get("summary"),
pressure=current.get("pressure"),
visibility=current.get("visibility"),
uv_index=current.get("uvIndex"),
ozone=current.get("ozone"),
nearest_storm_distance=current.get("nearestStormDistance"),
nearest_storm_bearing=current.get("nearestStormBearing"),
precip_probability=current.get("precipProbability"),
cloud_cover=current.get("cloudCover"),
daily_forecasts=daily_forecasts,
hourly_forecasts=hourly_forecasts,
)
@retry(
stop=stop_after_attempt(3),
wait=wait_fixed(5),
before_sleep=before_sleep_log(logger, logging.WARNING),
reraise=True,
)
def post_to_ha(url: str, token: str, weather: Weather) -> None:
"""Post weather data to Home Assistant as sensor entities."""
headers = {"Authorization": f"Bearer {token}"}
# Post current weather as individual sensors
sensors = {
"sensor.van_weather_condition": {
"state": weather.condition or "unknown",
"attributes": {"friendly_name": "Van Weather Condition"},
},
"sensor.van_weather_temperature": {
"state": weather.temperature,
"attributes": {"unit_of_measurement": "°F", "device_class": "temperature"},
},
"sensor.van_weather_apparent_temperature": {
"state": weather.feels_like,
"attributes": {"unit_of_measurement": "°F", "device_class": "temperature"},
},
"sensor.van_weather_humidity": {
"state": int((weather.humidity or 0) * 100),
"attributes": {"unit_of_measurement": "%", "device_class": "humidity"},
},
"sensor.van_weather_pressure": {
"state": weather.pressure,
"attributes": {"unit_of_measurement": "mbar", "device_class": "pressure"},
},
"sensor.van_weather_wind_speed": {
"state": weather.wind_speed,
"attributes": {"unit_of_measurement": "mph", "device_class": "wind_speed"},
},
"sensor.van_weather_wind_bearing": {
"state": weather.wind_bearing,
"attributes": {"unit_of_measurement": "°"},
},
"sensor.van_weather_visibility": {
"state": weather.visibility,
"attributes": {"unit_of_measurement": "mi"},
},
"sensor.van_weather_uv_index": {
"state": weather.uv_index,
"attributes": {"friendly_name": "Van Weather UV Index", "icon": "mdi:sun-wireless"},
},
"sensor.van_weather_ozone": {
"state": weather.ozone,
"attributes": {"unit_of_measurement": "DU", "icon": "mdi:earth"},
},
"sensor.van_weather_nearest_storm_distance": {
"state": weather.nearest_storm_distance,
"attributes": {"unit_of_measurement": "mi", "icon": "mdi:weather-lightning"},
},
"sensor.van_weather_nearest_storm_bearing": {
"state": weather.nearest_storm_bearing,
"attributes": {"unit_of_measurement": "°", "icon": "mdi:weather-lightning"},
},
"sensor.van_weather_precip_probability": {
"state": int((weather.precip_probability or 0) * 100),
"attributes": {"unit_of_measurement": "%", "icon": "mdi:weather-rainy"},
},
"sensor.van_weather_cloud_cover": {
"state": int((weather.cloud_cover or 0) * 100),
"attributes": {"unit_of_measurement": "%", "icon": "mdi:weather-cloudy"},
},
}
for entity_id, data in sensors.items():
if data["state"] is not None:
response = httpx.post(f"{url}/api/states/{entity_id}", headers=headers, json=data, timeout=30)
response.raise_for_status()
# Post daily forecast as JSON attribute sensor
daily_forecast = [
{
"datetime": daily_forecast.date_time.isoformat(),
"condition": daily_forecast.condition,
"temperature": daily_forecast.temperature,
"templow": daily_forecast.templow,
"precipitation_probability": int((daily_forecast.precipitation_probability or 0) * 100),
}
for daily_forecast in weather.daily_forecasts
]
response = httpx.post(
f"{url}/api/states/sensor.van_weather_forecast_daily",
headers=headers,
json={"state": len(daily_forecast), "attributes": {"forecast": daily_forecast}},
timeout=30,
)
response.raise_for_status()
# Post hourly forecast as JSON attribute sensor
hourly_forecast = [
{
"datetime": hourly_forecast.date_time.isoformat(),
"condition": hourly_forecast.condition,
"temperature": hourly_forecast.temperature,
"precipitation_probability": int((hourly_forecast.precipitation_probability or 0) * 100),
}
for hourly_forecast in weather.hourly_forecasts
]
response = httpx.post(
f"{url}/api/states/sensor.van_weather_forecast_hourly",
headers=headers,
json={"state": len(hourly_forecast), "attributes": {"forecast": hourly_forecast}},
timeout=30,
)
response.raise_for_status()
def update_weather(config: Config) -> None:
"""Fetch weather using last-known location, post to HA."""
lat = get_ha_state(config.ha_url, config.ha_token, config.lat_entity)
lon = get_ha_state(config.ha_url, config.ha_token, config.lon_entity)
masked_lat = round(lat, config.mask_decimals)
masked_lon = round(lon, config.mask_decimals)
logger.info(f"Masked location: {masked_lat}, {masked_lon}")
weather = fetch_weather(config.pirate_weather_api_key, masked_lat, masked_lon)
logger.info(f"Weather: {weather.temperature}°F, {weather.condition}")
post_to_ha(config.ha_url, config.ha_token, weather)
logger.info("Posted weather to HA")
def main(
ha_url: Annotated[str, typer.Option(envvar="HA_URL")],
ha_token: Annotated[str, typer.Option(envvar="HA_TOKEN")],
api_key: Annotated[str, typer.Option(envvar="PIRATE_WEATHER_API_KEY")],
interval: Annotated[int, typer.Option(help="Poll interval in seconds")] = 900,
log_level: Annotated[str, typer.Option()] = "INFO",
) -> None:
"""Fetch weather for van using masked GPS location."""
configure_logger(log_level)
config = Config(ha_url=ha_url, ha_token=ha_token, pirate_weather_api_key=api_key)
logger.info(f"Starting van weather service, polling every {interval}s")
scheduler = BlockingScheduler()
scheduler.add_job(
update_weather,
"interval",
seconds=interval,
args=[config],
next_run_time=datetime.now(UTC),
)
scheduler.start()
if __name__ == "__main__":
typer.run(main)
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"""Models for van weather service."""
from __future__ import annotations
from datetime import datetime # noqa: TC003 This is required for pydantic
from pydantic import BaseModel, field_serializer
class Config(BaseModel):
"""Service configuration."""
ha_url: str
ha_token: str
pirate_weather_api_key: str
lat_entity: str = "sensor.van_last_known_latitude"
lon_entity: str = "sensor.van_last_known_longitude"
mask_decimals: int = 1 # ~11km accuracy
class DailyForecast(BaseModel):
"""Daily forecast entry."""
date_time: datetime
condition: str | None = None
temperature: float | None = None # High
templow: float | None = None # Low
precipitation_probability: float | None = None
moon_phase: float | None = None
wind_gust: float | None = None
cloud_cover: float | None = None
@field_serializer("date_time")
def serialize_date_time(self, date_time: datetime) -> str:
"""Serialize datetime to ISO format."""
return date_time.isoformat()
class HourlyForecast(BaseModel):
"""Hourly forecast entry."""
date_time: datetime
condition: str | None = None
temperature: float | None = None
precipitation_probability: float | None = None
@field_serializer("date_time")
def serialize_date_time(self, date_time: datetime) -> str:
"""Serialize datetime to ISO format."""
return date_time.isoformat()
class Weather(BaseModel):
"""Weather data from Pirate Weather."""
temperature: float | None = None
feels_like: float | None = None
humidity: float | None = None
wind_speed: float | None = None
wind_bearing: float | None = None
condition: str | None = None
summary: str | None = None
pressure: float | None = None
visibility: float | None = None
uv_index: float | None = None
ozone: float | None = None
nearest_storm_distance: float | None = None
nearest_storm_bearing: float | None = None
precip_probability: float | None = None
cloud_cover: float | None = None
daily_forecasts: list[DailyForecast] = []
hourly_forecasts: list[HourlyForecast] = []