class Brain(threading.Thread):
def __init__(self):
threading.Thread.__init__(self)
self.datafile = open("w_report.csv", 'r')
self.key = "http://api.openweathermap.org/data/2.5/weather?q=Kanchipuram&APPID=d500d89c5c31bf5d4e165dbaa8024895"
self.last_update = []
self.L = Language()
self.Structure = nx.Graph()
self.Structure.add_edges_from([('weather', 'description'),
('weather', 'haze'), ('wind', 'deg'),
('wind', 'speed'), ('main', 'humidity'),
('main', 'temp'), ('main', 'pressure'),
('main', 'temp_max'),
('main', 'temp_min'), ('obj', 'dt'),
('obj', 'main'), ('obj', 'weather'),
('obj', 'wind')])
self.Structure.add_edges_from([('sys', 'sunrise'), ('sys', 'sunset'),
('obj', 'sys'), ('obj', 'visibility'),
('obj', 'coord'), ('obj', 'clouds'),
('clouds', 'all'), ('obj', 'name'),
('weather', 'id'), ('weather', 'main')])
nx.draw_networkx(self.Structure, show_labels=True)
#plt.show()
def celcius(self, k):
return (k - 273.15)
def update(self):
response = urllib.request.urlopen(self.key)
sj = """%s""" % (response.read())
data = sj[2:-1]
jason = json.loads(data)
csv = open("w_report.csv", 'w')
csv.write(str(time.time()) + '|' + sj[2:-1])
ch = random.choice([1, 2, 3])
if ch == 1:
print("The Weather is Updated@ %s and the last update was at %s" %
(time.ctime(), time.ctime(self.last_update[-1])))
elif ch == 2:
print(
"The Weather data is Updated sir @ %s and the last update was at %s"
% (time.ctime(), time.ctime(self.last_update[-1])))
else:
print(
"Star Weather data is updated at %s and the last update was at %s"
% (time.ctime(), time.ctime(self.last_update[-1])))
def checknow(self):
data = self.datafile.read()
while (1):
if data == '':
print("data == '")
self.update()
else:
if (self.whentoupdate()):
pass
else:
self.update()
time.sleep(100)
def whentoupdate(self):
data = pd.read_csv('w_report.csv', sep='|', names=['time', 'json'])
t = float(data['time'])
k = data['json']
if len(self.last_update) > 0:
if t != self.last_update[-1]:
self.last_update.append(t)
else:
self.last_update.append(t)
print("Last Update:", time.ctime(self.last_update[-1]))
if (time.time() - t < 2000):
return 1
else:
return 0
def json_search(self, whattoshow):
for entity in whattoshow:
path = nx.dijkstra_path(self.Structure, 'obj', entity)
data = self.get_data(path)
if entity == 'temp_max' or entity == 'temp_min':
print("%s is" % (entity), data - 273.15, "C")
else:
print("%s is" % (entity), data)
def get_data(self, lista):
data = pd.read_csv('w_report.csv', sep='|', names=['time', 'json'])
t = float(data['time'])
k = data['json'][0]
json_d = json.loads(k)
if len(lista) == 3:
if lista[1] == 'weather':
return json_d[lista[1]][0][lista[2]]
else:
return json_d[lista[1]][lista[2]]
if len(lista) == 2:
return json_d[lista[1]]
def run(self):
threading._start_new_thread(self.checknow, ())
while (1):
whattoshow = self.L.Talk()
self.json_search(whattoshow)
pass
