diff --git a/source/_components/sensor.dark_sky.markdown b/source/_components/sensor.dark_sky.markdown new file mode 100644 index 00000000000..0f65aab148c --- /dev/null +++ b/source/_components/sensor.dark_sky.markdown @@ -0,0 +1,88 @@ +--- +layout: page +title: "Dark Sky" +description: "How to integrate Dark Sky within Home Assistant." +date: 2016-09-26 08:00 +sidebar: true +comments: false +sharing: true +footer: true +logo: dark_sky.png +ha_category: Weather +featured: true +ha_release: 0.30 +--- + +The `dark_sky` platform uses the [Dark Sky](https://darksky.net/) web service as a source for meteorological data for your location. The location is based on the `longitude` and `latitude` coordinates configured in your `configuration.yaml` file. The coordinates are auto-detected but to take advantage of the hyper-local weather reported by Dark Sky, you can refine them down to your exact home address. GPS coordinates can be found by using [Google Maps](https://www.google.com/maps) and clicking on your home or [Openstreetmap](http://www.openstreetmap.org/). + +You need an API key which is free but requires [registration](hhttps://darksky.net/dev/register). You can make up to 1000 calls per day for free which means that you could make one approximately every 86 seconds. + +

+[Dark Sky](https://darksky.net/) will charge you $0.0001 per API call if you enter your credit card details and create more than 1000 calls per day. +

+ +To add Dark Sky to your installation, add the following to your `configuration.yaml` file: + +```yaml +# Example configuration.yaml entry +sensor: + platform: dark_sky + api_key: YOUR_APP_KEY + monitored_conditions: + - summary + - icon + - nearest_storm_distance + - nearest_storm_bearing + - precip_type + - precip_intensity + - precip_probability + - temperature + - apparent_temperature + - dew_point + - wind_speed + - wind_bearing + - cloud_cover + - humidity + - pressure + - visibility + - ozone + - minutely_summary + - hourly_summary + - daily_summary + - temperature_max + - temperature_min + - apparent_temperature_max + - apparent_temperature_min + - precip_intensity_max +``` + +Configuration variables: + +- **api_key** (*Required*): Your API key. +- **monitored_conditions** array (*Required*): Conditions to display in the frontend. + - **summary**: A human-readable text summary of the current conditions. + - **precip_type**: The type of precipitation occurring. + - **precip_intensity**: The average expected intensity of precipitation occurring. + - **precip_probability**: A value between 0 and 1 which is representing the probability of precipitation. + - **temperature**: The current temperature. + - **apparent_temperature**: A numerical value representing the apparent (or "feels like") temperature. + - **dew_point**: The dew point. + - **wind_speed**: The wind speed. + - **wind_bearing**: Where the wind is coming from in degrees, with true north at 0° and progressing clockwise. + - **cloud_cover**: The percentage of sky occluded by clouds. + - **humidity**: The relative humidity. + - **pressure**: The sea-level air pressure in millibars. + - **visibility**: The average visibility. + - **ozone**: The columnar density of total atmospheric ozone in Dobson. + - **minutely_summary**: A human-readable text summary for the next hour. + - **hourly_summary**: A human-readable text summary for the next 24 hours. + - **daily_summary**: A human-readable text summary for the next 7 days. + - **temperature_max**: Today's expected high temperature. + - **temperature_min**: Today's expected low temperature. + - **apparent_temperature_max**: Today's expected apparent high temperature. + - **apparent_temperature_min**: Today's expected apparent low temperature. + - **precip_intensity_max**: Today's expected maximum intensity of precipitation. +- **units** (*Optional*): Specify the unit system. Default to `si` or `us` based on the temperature preference in Home Assistant. Other options are `auto`, `us`, `si`, `ca`, and `uk2`. +`auto` will let forecast.io decide the unit system based on location. + +Details about the API are available in the [Dark Sky documentation](https://darksky.net/dev/docs). diff --git a/source/_components/sensor.forecast.markdown b/source/_components/sensor.forecast.markdown index 2df618fcc9e..defae7beba4 100644 --- a/source/_components/sensor.forecast.markdown +++ b/source/_components/sensor.forecast.markdown @@ -8,11 +8,15 @@ comments: false sharing: true footer: true logo: forecast.png -ha_category: Weather -featured: true +ha_category: Deprecated +featured: False ha_release: pre 0.7 --- +

+**This platform has been deprecated in favor of the "[dark_sky](/components/sensor.dark_sky/)" platform and will be removed in the future. Please use the "dark_sky" platform.** +

+ The `forecast` platform uses the [Forecast.io](https://forecast.io/) web service as a source of meteorological data for your location. The location is based on the `longitude` and `latitude` coordinates configured in your `configuration.yaml` file. The coordinates are auto-detected but to take advantage of the hyper-local weather reported by forecast.io, you can refine them down to your exact home address. GPS coordinates can be found by using [Google Maps](https://www.google.com/maps) and clicking on your home or [Openstreetmap](http://www.openstreetmap.org/). You need an API key which is free but requires [registration](https://developer.forecast.io/register). You can make up to 1000 calls per day for free which means that you could make one approximately every 86 seconds. diff --git a/source/images/supported_brands/dark_sky.png b/source/images/supported_brands/dark_sky.png new file mode 100644 index 00000000000..b9854dff518 Binary files /dev/null and b/source/images/supported_brands/dark_sky.png differ