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rowers/weather.py

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+import requests
+import json
+import time
+from datetime import datetime
+from rowingdata import rowingdata
+import pandas as pd
+from rowers.models import Rower, Workout
+
+from rowsandall_app.settings import FORECAST_IO_KEY
+
+
+def get_weather_data(long,lat,unixtime):
+#    url = "https://api.forecast.io/forecast/"+FORECAST_IO_KEY+"/"
+    url = "https://api.darksky.net/forecast/"+FORECAST_IO_KEY+"/"
+    url += str(long)+","+str(lat)+","+str(unixtime)
+
+    s = requests.get(url)
+
+    if s.ok:
+	return s.json()
+    else:
+	return 0
+
+def get_wind_data(lat,long,unixtime):
+    data = get_weather_data(lat,long,unixtime)
+    if data:
+	try:
+	    # we are getting wind in mph
+	    windspeed = data['currently']['windSpeed']*0.44704
+	    windbearing = data['currently']['windBearing']
+	except KeyError:
+	    windspeed = 0
+	    windbearing = 0
+
+	try:
+	    airports = data['flags']['madis-stations']
+	except KeyError:
+	    airports = ['unknown']
+
+	try:
+	    temperature = data['currently']['temperature']
+	    temperaturec = (temperature-32.)*(5./9.)
+	    temperaturec = int(10*temperaturec)/10.
+	except KeyError:
+	    temperature = 'unknown'
+	    temperaturec = 'unknown'
+
+	try:
+	    summary = data['currently']['summary']
+	except KeyError:
+	    summary = 'unknown'
+    else:
+	windspeed = 0
+	windbearing = 0
+	message = 'Not able to get weather data'
+
+    # apply Hellman's coefficient for neutral air above human inhabitated areas
+    windspeed = windspeed*(0.1)**0.34
+    windspeed = 0.01*int(100*windspeed)
+    
+    timestamp = datetime.utcfromtimestamp(unixtime).isoformat()+'Z'
+
+    message = 'Summary for your location at '+timestamp+': '+summary
+    message += '. Temperature '+str(temperature)+'F/'+str(temperaturec)+'C'
+
+    if data:
+	message += '. Wind: '+str(windspeed)+' m/s. Wind Bearing: '+str(windbearing)+' degrees'
+
+
+    return [windspeed,windbearing,message,airports,timestamp]