Caclulate average cloud and rain every 24h.

pycurltest.py

@@ -2,6 +2,12 @@ import pycurl
 import json
 from StringIO import StringIO
 
+
+#---- SETTINGS ----#
+rain_limit = 1.0
+cloud_limit = 50
+#------------------#
+
 buffer = StringIO()
 c = pycurl.Curl()
 c.setopt(c.URL, 'api.openweathermap.org/data/2.5/forecast?q=pisa,it&APPID=c5ebd88f4494c472f3032e3426b6f0c6')
@@ -11,7 +17,35 @@ c.close()
 
 body = buffer.getvalue()
 parsed = json.loads(body)
-for i in parsed["list"]:
-    print i["dt_txt"], " ",  i["weather"][0]["description"]
+
+cloud_perc_average = 0
+rain_average = 0
+
+print "Date\t\t\tDescription\tCloud %\tRain"
+
+for i in range(len(parsed["list"])):
+    print parsed["list"][i]["dt_txt"], "\t",  parsed["list"][i]["weather"][0]["description"], "\t",  parsed["list"][i]["clouds"]["all"],
+
+    cloud_perc_average += parsed["list"][i]["clouds"]["all"]
+
+    if len(parsed["list"][i]["rain"]) > 0:
+        print "\t",  parsed["list"][i]["rain"]["3h"]
+        rain_average += parsed["list"][i]["rain"]["3h"]
+    else :
+        print "\t0"
+
+    if i % 8 == 7:
+        cloud_perc_average /= 8
+        rain_average /= 8
+        if cloud_perc_average > cloud_limit:
+            print "\x1b[37;1m",
+        print "Average clouds in the last 24h: ", cloud_perc_average, "\x1b[0m"
+        if rain_average > rain_limit:
+            print "\x1b[34m",
+        print "Average rain in the last 24h: ", rain_average, "\n", "\x1b[0m"
+
+        rain_average = 0
+        cloud_perc_average = 0
+