WeatherLink 1.0.1

March 20th, 2022:

Updated the package to rectify a couple of token and model issues, Fiddler reflects different data models then documentation. If you provide the information or encounter an issue, I will attempt to rectify.

The package is relatively straight forward. You simply do the following:

 var api = new WeatherLinkService(key, secret, universal datetime);
 var stations = api.GetStations();

Will return an object for when the request was generated and an array of Stations that will include:

• station_id
• station_name
• gateway_id
• gateway_id_hex
• product_number
• username
• password
• user_email
• active
• uploadInterval
• firmware_version
• imei
• meid
• registered_date
• subscription_end_date
• timezone
• city
• region
• country
• latitude
• longitude
• elevation

Once you have a station id, you can simply do:

 var sensors = api.GetCurrentConditions(station id); <-- I noticed null or irregular information for station id, so I allow a string input

 foreach(var sensor in sensors.sensors)
      foreach(var measurement in sensor.data)
      {
           All sensor measurement properties would be exposed here.
      }

I specifically received the following in Fiddler:

        public int ts
        public int? bar_trend
        public float? bar
        public float? temp_in
        public int? hum_in
        public float? temp_out
        public int? wind_speed
        public int? wind_speed_10_min_avg
        public int? wind_dir
        public string? temp_extra_1
        public object? temp_extra_2
        public object? temp_extra_3
        public object? temp_extra_4
        public object? temp_extra_5
        public object? temp_extra_6
        public object? temp_extra_7
        public object? temp_soil_1
        public object? temp_soil_2
        public object? temp_soil_3
        public object? temp_soil_4
        public object? temp_leaf_1
        public object? temp_leaf_2
        public object? temp_leaf_3
        public object? temp_leaf_4
        public int? hum_out
        public object? hum_extra_1
        public object? hum_extra_2
        public object? hum_extra_3
        public object? hum_extra_4
        public object? hum_extra_5
        public object? hum_extra_6
        public object? hum_extra_7
        public int? rain_rate_clicks
        public int? rain_rate_in
        public int? rain_rate_mm
        public object? uv
        public int? solar_rad
        public int? rain_storm_clicks
        public float? rain_storm_in
        public float? rain_storm_mm
        public int? rain_storm_start_date
        public int? rain_day_clicks
        public float? rain_day_in
        public float? rain_day_mm
        public int? rain_month_clicks
        public float? rain_month_in
        public float? rain_month_mm
        public int? rain_year_clicks
        public float? rain_year_in
        public float? rain_year_mm
        public float? et_day
        public float? et_month
        public float? et_year
        public object? moist_soil_1
        public object? moist_soil_2
        public object? moist_soil_3
        public object? moist_soil_4
        public object? wet_leaf_1
        public object? wet_leaf_2
        public object? wet_leaf_3
        public int? wet_leaf_4
        public int? forecast_rule
        public string forecast_desc
        public int? dew_point
        public int? heat_index
        public int? wind_chill
        public int? wind_gust_10_min

The historic model I expect to be similar, but it might be different and might be broken. Will research a bit more.