def process_metie(data):
""" Process met.ie forecasts """
use_icons = main.get_string("use_icons", "0")
metric = main.get_string("metric", "1")
days = ""
desc = main.get_string('metierev', '')
for jobj in json.loads(data):
myday = day.Day()
tmp_day = jobj["date"] + "T" + jobj["time"]
myday.timestamp = time.mktime(time.strptime(tmp_day, '%Y-%m-%dT%H:%M'))
myday.day = datetime.datetime.fromtimestamp(myday.timestamp).strftime("%A")
myday.max = str(jobj["temperature"])
myday.icon = jobj["weatherNumber"]
myday.text = jobj["weatherDescription"]
if use_icons != "1":
myday.icon = "wi wi-met-ie-" + myday.icon
else:
myday.icon = "y" + myday.icon + ".png"
if metric == "1":
myday.max += "°C"
else:
myday.max = str(round(float(myday.max) * 9.0 / 5.0 + 32.0)) + "°F"
days += str(myday) + ","
if days[-1:] == ",":
days = days[:-1]
days = "[" + days + "]"
return [True, days, desc]
def process_mf(data):
""" Process meteofrance.com Forecasts """
use_icons = main.get_string("use_icons", "0")
metric = main.get_string("metric", "1")
days = ""
desc = data.split("<h1>", 1)[1].split("</h1>", 1)[0].strip()
data = data.split("<!-- LISTE JOURS -->",
1)[1].split("<!-- LISTE JOURS/ -->", 1)[0].strip()
bits = data.split('title="')
del bits[0]
print("")
for bit in bits:
myday = day.Day()
myday.day = bit.split("<a>", 1)[1].split("</a>", 1)[0].strip()
myday.min = bit.split('class="min-temp">',
1)[1].split('°C Minimale', 1)[0].strip()
myday.max = bit.split('class="max-temp">',
1)[1].split('°C Maximale', 1)[0].strip()
myday.icon = bit.split('<dd class="pic40 ', 1)[1].split('">',
1)[0].strip()
if metric == "1":
myday.max = myday.max + "°C"
myday.min = myday.min + "°C"
else:
myday.max = str(round(int(myday.max) * 9 / 5 + 32)) + "°F"
myday.min = str(round(int(myday.max) * 9 / 5 + 32)) + "°F"
icon = TABLE.get(myday.icon)
if icon is None:
# TODO: report/log missing CSS name
myday.icon = None
else:
if use_icons != "1":
if icon.replace("_", "-") != 'j-w1-8-n"':
myday.icon = "wi wi-meteofrance-" + icon.replace('_', '-')
else:
myday.icon = "flaticon-thermometer"
else:
myday.icon = "mf_" + icon + ".png"
days += str(myday) + ","
if days[-1:] == ",":
days = days[:-1]
days = "[" + days + "]"
print(days)
return [True, days, desc]
def process_metservice(data):
""" Process metservice forecasts """
use_icons = main.get_string("use_icons", "0")
metric = main.get_string("metric", "1")
days = ""
jobj = json.loads(data)
loop = jobj['days']
# ftime = loop[0]["issuedAtISO"]
desc = jobj["locationECWasp"] + ", New Zealand"
for jtmp in loop:
myday = day.Day()
jtmp['dateISO'] = jtmp['dateISO'][:-6]
myday.timestamp = time.mktime(time.strptime(jtmp['dateISO'], "%Y-%m-%dT%H:%M:%S"))
myday.day = jtmp["dow"]
myday.text = jtmp["forecast"]
myday.max = jtmp["max"]
myday.min = jtmp["min"]
if "partDayData" in jtmp:
myday.icon = jtmp["partDayData"]["afternoon"]["forecastWord"]
else:
myday.icon = jtmp["forecastWord"]
myday.icon = myday.icon.lower().replace(" ", "-").strip()
if use_icons != "1":
if myday.icon != "frost":
myday.icon = "wi wi-metservice-" + myday.icon
else:
myday.icon = "flaticon-thermometer"
else:
myday.icon = myday.icon.replace("-", "_")
myday.icon = "ms_" + myday.icon + ".png"
if metric:
myday.max += "°C"
myday.min += "°C"
else:
myday.max = str(round(float(myday.max) * 9.0 / 5.0 + 32.0)) + "°F"
myday.min = str(round(float(myday.min) * 9.0 / 5.0 + 32.0)) + "°F"
days += str(myday) + ","
if days[-1:] == ",":
days = days[:-1]
days = "[" + days + "]"
return [True, days, desc]
def process_metoffice(data):
""" Process MET Office forecasts """
use_icons = main.get_string("use_icons", "0")
metric = main.get_string("metric", "1")
days = ""
desc = data.split('<title>', 1)[1].split(' weather - Met Office</title>', 1)[0].strip()
forecasts = data.split('<ul id="dayNav"', 2)[1].split('</ul>', 2)[0].split('<li')
del forecasts[0]
for line in forecasts:
myday = day.Day()
myday.day = line.split('data-tab-id="', 1)[1].split('"')[0].strip()
myday.timestamp = time.mktime(time.strptime(myday.day, '%Y-%m-%d'))
myday.day = datetime.datetime.fromtimestamp(myday.timestamp).strftime("%A")
myday.icon = "https://beta.metoffice.gov.uk" + line.split('<img class="icon"')[1]
myday.icon = myday.icon.split('src="')[1].split('">')[0].strip()
myday.icon = os.path.basename(myday.icon).replace(".svg", ".png").strip()
myday.min = line.split('<span class="tab-temp-low"', 1)[1].split('">')[1]
myday.min = myday.min.split("</span>", 1)[0].strip()
myday.max = line.split('<span class="tab-temp-high"', 1)[1].split('">')[1]
myday.max = myday.max.split("</span>")[0].strip()
myday.text = line.split('<div class="summary-text', 1)[1].split('">', 3)[2]
myday.text = myday.text.split("</div>", 1)[0]
myday.text = myday.text.replace('</span>', '').replace('<span>', '').strip()
if metric == "1":
myday.min += "C"
myday.max += "C"
else:
myday.min = str(round(float(myday.min) * 9.0 / 5.0 + 32.0)) + "°F"
myday.max = str(round(float(myday.max) * 9.0 / 5.0 + 32.0)) + "°F"
if use_icons == "1":
myday.icon = "met" + myday.icon
else:
myday.icon = "wi wi-metoffice-" + myday.icon[:-4]
days += str(myday) + ","
if days[-1:] == ",":
days = days[:-1]
days = "[" + days + "]"
return [True, days, desc]
def process_yahoo(data):
""" Process Yahoo forecast """
metric = main.get_string("metric", "1")
days = ""
bits = data.split('data-reactid="7">', 7)
town, rest = bits[7].split('</h1>', 1)
country, rest = rest.split('data-reactid="8">', 1)[1].split('</div>', 1)
desc = town.strip() + ", " + country.strip()
daynums = [196, 221, 241, 261, 281, 301, 321, 341, 361, 381]
for startid in daynums:
myday, rest = process_day(rest, startid, metric)
ret = check_files(myday.icon)
if ret[0] is True:
myday.icon = ret[1]
else:
return ret
days += str(myday) + ","
if days[-1:] == ",":
days = days[:-1]
days = "[" + days + "]"
return [True, days, desc]
def process_wcom(data):
""" Process weather.com forecasts """
use_icons = main.get_string("use_icons", "0")
metric = main.get_string("metric", "1")
days = ""
jobj = json.loads(data)
desc = jobj["id"]
valid_date = jobj["vt1dailyForecast"]["validDate"]
icons = jobj["vt1dailyForecast"]["day"]["icon"]
phrase = jobj["vt1dailyForecast"]["day"]["phrase"]
day_temp = jobj["vt1dailyForecast"]["day"]["temperature"]
night_temp = jobj["vt1dailyForecast"]["night"]["temperature"]
rng = range(len(valid_date))
for i in rng:
myday = day.Day()
myday.timestamp = time.mktime(time.strptime(valid_date[i], '%Y-%m-%dT%H:%M:%S%z'))
myday.day = datetime.datetime.fromtimestamp(myday.timestamp).strftime("%A")
myday.text = phrase[i]
myday.icon = icons[i]
myday.max = str(day_temp[i])
myday.min = str(night_temp[i])
if use_icons != "1":
myday.icon = "wi wi-yahoo-" + myday.icon
else:
myday.icon = "yahoo" + str(myday.icon) + ".gif"
if metric == "1":
myday.max += "°C"
myday.min += "°C"
else:
myday.max += "°F"
myday.min += "°F"
days += str(myday) + ","
if days[-1:] == ",":
days = days[:-1]
days = "[" + days + "]"
return [True, days, desc]
def process_apixu(data):
""" Process apixu.com forecasts """
use_icons = main.get_string("use_icons", "0")
metric = main.get_string("metric", "1")
days = ""
jobj = json.loads(data)
desc = jobj["location"]["name"] + ", " + jobj["location"]["country"]
for j in jobj["forecast"]["forecastday"]:
myday = day.Day()
myday.timestamp = j['date_epoch']
myday.day = datetime.datetime.fromtimestamp(myday.timestamp).strftime("%A")
this_day = j["day"]
if metric == "1":
myday.min = str(this_day['mintemp_c']) + "°C"
myday.max = str(this_day['maxtemp_c']) + "°C"
else:
myday.min = str(this_day['mintemp_f']) + "°F"
myday.max = str(this_day['maxtemp_f']) + "°F"
for cond in main.CONDITIONS:
if cond["code"] == this_day["condition"]["code"]:
myday.icon = str(cond["icon"])
myday.text = cond["day"]
break
if use_icons != "1":
myday.icon = "wi wi-apixu-" + myday.icon
else:
myday.icon = "apixu_" + myday.icon + ".png"
days += str(myday) + ","
if days[-1:] == ",":
days = days[:-1]
days = "[" + days + "]"
return [True, days, desc]
def process_wmo(data):
""" Process WMO forecast """
metric = main.get_string("metric", "1")
days = ""
jobj = json.loads(data)
desc = jobj['city']['cityName'] + ", " + jobj['city']['member']['memName']
# tmp = jobj['city']['forecast']['issueDate']
# "yyyy-MM-dd HH:mm:ss"
# timestamp = time.mktime(time.strptime(tmp, '%Y-%m-%d %H:%M:%S'))
jarr = jobj['city']['forecast']['forecastDay']
for j in jarr:
myday = day.Day()
myday.timestamp = time.mktime(time.strptime(j['forecastDate'], '%Y-%m-%d'))
myday.day = datetime.datetime.fromtimestamp(myday.timestamp).strftime("%A")
myday.text = j['weather']
myday.max = j['maxTemp'] + "°C"
myday.min = j['minTemp'] + "°C"
if metric != "1":
myday.max = j['maxTempF'] + "°F"
myday.min = j['minTempF'] + "°F"
code = str(j['weatherIcon'])[:-2]
if code == "28":
myday.icon = "flaticon-cactus"
elif code == "29" or code == "30":
myday.icon = "flaticon-thermometer"
elif code == "32":
myday.icon = "flaticon-cold"
elif code == "33":
myday.icon = "flaticon-warm"
elif code == "34":
myday.icon = "flaticon-cool"
else:
myday.icon = "wi wi-wmo-" + code
days += str(myday) + ","
if days[-1:] == ",":
days = days[:-1]
days = "[" + days + "]"
return [True, days, desc]
def process_yrno(data):
""" Process yr.no forecast """
use_icons = main.get_string("use_icons", "0")
jobj = xmltodict.parse(data)
jobj = jobj['weatherdata']
location = jobj['location']
desc = location['name'] + ", " + location['country']
days = ""
jarr = jobj['forecast']['tabular']['time']
for line in jarr:
myday = day.Day()
from_time = line['@from']
to_time = line['@to']
code = line['symbol']['@var']
myday.min = line['precipitation']['@value'] + "mm"
myday.max = line['temperature']['@value'] + "°C"
myday.text = line['windSpeed']['@name'] + ", " + line['windSpeed']['@mps'] + "m/s from the "
myday.text += line['windDirection']['@name']
date1 = time.mktime(time.strptime(from_time, '%Y-%m-%dT%H:%M:%S'))
date2 = time.mktime(time.strptime(to_time, '%Y-%m-%dT%H:%M:%S'))
myday.timestamp = date1
from_time = datetime.datetime.fromtimestamp(date1).strftime("%H:%M")
to_time = datetime.datetime.fromtimestamp(date2).strftime("%H:%M")
date = datetime.datetime.fromtimestamp(date1).strftime("%A")
myday.day = date + ": " + from_time + "-" + to_time
if use_icons != "1":
myday.icon = "wi wi-yrno-" + code
else:
myday.icon = "yrno" + code + ".png"
days += str(myday) + ","
if days[-1:] == ",":
days = days[:-1]
days = "[" + days + "]"
return [True, days, desc]
def process_owm(data):
""" Process OpenWeatherMap.org forecasts """
metric = main.get_string("metric", "1")
days = ""
jobj = json.loads(data)
desc = jobj["city"]["name"] + ", " + jobj["city"]["country"]
for j in jobj['list']:
myday = day.Day()
myday.timestamp = j['dt']
myday.day = datetime.datetime.fromtimestamp(myday.timestamp).strftime("%A")
myday.max = str(round(float(j['temp']['max'])))
myday.min = str(round(float(j['temp']['min'])))
weather = j['weather'][0]
myday.text = weather['description']
myday.icon = weather['icon']
if not myday.icon.endswith('n'):
myday.icon = "wi wi-owm-day-" + str(weather['id'])
else:
myday.icon = "wi wi-owm-night-" + str(weather['id'])
if metric == "1":
myday.max += "°C"
myday.min += "°C"
else:
myday.max += "°F"
myday.min += "°F"
days += str(myday) + ","
if days[-1:] == ",":
days = days[:-1]
days = "[" + days + "]"
return [True, days, desc]
def process_darksky(data):
""" Process darksky forecasts """
metric = main.get_string("metric", "1")
days = ""
jobj = json.loads(data)
desc = str(jobj["latitude"]) + ", " + str(jobj["longitude"])
daily = jobj["daily"]
for jarr in daily["data"]:
myday = day.Day()
myday.icon = jarr["icon"]
myday.timestamp = jarr['time']
myday.day = datetime.datetime.fromtimestamp(myday.timestamp).strftime("%A")
myday.max = str(round(float(jarr['temperatureHigh'])))
myday.min = str(round(float(jarr['temperatureLow'])))
if metric == "1":
myday.max += "°C"
myday.min += "°C"
else:
myday.max += "°F"
myday.min += "°F"
myday.icon = "wi wi-forecast-io-" + myday.icon
myday.text = jarr["summary"]
days += str(myday) + ","
if days[-1:] == ",":
days = days[:-1]
days = "[" + days + "]"
print(days)
return [True, days, desc]
def process_wca(data):
""" Process forecast for weather.gc.ca """
metric = main.get_string("metric", "1")
use_icons = main.get_string("use_icons", "0")
days = ""
last_ts = 0
obs = data.split("Forecast issued: ", 1)[1].strip()
obs = obs.split("</span>", 1)[0].strip()
i = 0
j = obs.index(":")
hour = obs[i:j]
i = j + 1
j = obs.index(" ", i)
minute = obs[i:j]
i = j + 1
j = obs.index(" ", i)
# ampm = obs[i:j]
i = j + 1
j = obs.index(" ", i)
# TZ = obs[i:j]
i = j + 1
j = obs.index(" ", i)
# DOW = obs[i:j]
i = j + 1
j = obs.index(" ", i)
date = obs[i:j]
i = j + 1
j = obs.index(" ", i)
month = obs[i:j]
i = j + 1
j = len(obs)
year = obs[i:j]
# obs = hour + ":" + minute + " " + ampm + " " + date + " " + month + " " + year
obs = year + "-" + month + "-" + date + " " + hour + ":" + minute # + " " + ampm
# "h:mm aa d MMMM yyyy"
# last_ts = timestamp = time.mktime(time.strptime(obs, '%Y-%B-%d %I:%M %p'))
last_ts = timestamp = time.mktime(time.strptime(obs, '%Y-%B-%d %I:%M'))
date = datetime.datetime.fromtimestamp(timestamp).strftime(
"%Y-%m-%d %H:%M")
year = datetime.datetime.fromtimestamp(last_ts).strftime("%Y")
desc = data.split('<dt>Observed at:</dt>', 1)[1]
desc = desc.split('<dd class="mrgn-bttm-0">', 1)[1].split("</dd>",
1)[0].strip()
data = data.split('<div class="div-table">', 1)[1].strip()
data = data.split(
'<section><details open="open" class="wxo-detailedfore">',
1)[0].strip()
data = data[:-7].strip()
doc = BeautifulSoup(data, "html.parser")
div = doc.find_all("div", class_="div-column")
j = 0
while j < len(div):
myday1 = day.Day()
myday2 = day.Day()
head1 = head2 = ""
content1 = content2 = ""
img1 = img2 = ""
maxtemp = mintemp = ""
pop1 = "0%"
pop2 = "0%"
if '<div class="div-row div-row1 div-row-head greybkgrd">' not in str(
div[j]):
head1 = str(div[j]).split(
'<div class="div-row div-row1 div-row-head">', 1)[1]
head1 = head1.split("</div>", 1)[0].strip()
tmpday = head1.split("<br/>", 1)[1]
month = tmpday.split('title="', 1)[1].split('"', 1)[0].strip()
tmpday = tmpday.split("\xa0", 1)[0].strip()
date = tmpday + " " + month + " " + year
timestamp1 = time.mktime(time.strptime(date, '%d %B %Y'))
maxtemp = str(div[j]).split('title="max">',
1)[1].split("°", 1)[0].strip()
if metric == "1":
maxtemp += "°C"
else:
maxtemp = str(round(int(maxtemp) * 9 / 5 + 32)) + "°F"
mystr = str(div[j]).split(
'<div class="div-row div-row2 div-row-data">', 1)[1]
mystr = mystr.split('</div>', 1)[0].strip()
if '<p class="mrgn-bttm-0 pop text-center" title="' in mystr:
pop1 = mystr.split('<small>', 1)[1].split('</small>',
1)[0].strip()
if '<div class="div-row div-row3 div-row-head greybkgrd">' not in str(
div[j]):
if '<div class="div-row div-row3 div-row-head" ' in str(div[j]):
head2 = str(div[j])
head2 = head2.split(
'<div class="div-row div-row3 div-row-head" title="', 1)[1]
head2 = head2.split("</div>", 1)[0].split('">', 1)[0].strip()
bits = head2.split("\xa0")
tmpday = bits[1]
month = bits[2]
date = tmpday + " " + month + " " + year
timestamp2 = time.mktime(time.strptime(date, '%d %B %Y'))
else:
head2 = str(div[j]).split(
'<div class="div-row div-row3 div-row-head">', 1)[1]
head2 = head2.split("</div>", 1)[0].strip()
timestamp2 = last_ts
mintemp = str(div[j]).split('title="min">',
1)[1].split("°", 1)[0].strip()
if metric == "1":
mintemp += "°C"
else:
mintemp = str(round(int(mintemp) * 9 / 5 + 32)) + "°F"
mystr = str(div[j]).split(
'<div class="div-row div-row4 div-row-data">', 1)[1]
mystr = mystr.split('</div>', 1)[0].strip()
if '<p class="mrgn-bttm-0 pop text-center" title="' in mystr:
pop2 = mystr.split('<small>', 1)[1].split('</small>',
1)[0].strip()
srcs = [img['src'] for img in div[j].find_all('img')]
alts = [alt['alt'] for alt in div[j].find_all('img')]
if head1 != "":
count = len(srcs)
if count > 0:
img1 = srcs[0]
content1 = alts[0]
if head2 != "":
if count > 1:
img2 = srcs[1]
content2 = alts[1]
else:
count = len(srcs)
if count > 0:
img2 = srcs[0]
content2 = alts[0]
if head1 != "":
img1 = img1[14:-4]
if use_icons == "1":
img1 = "wca" + img1 + ".png"
else:
if img1 == "26":
img1 = "flaticon-thermometer"
else:
img1 = "wi wi-weather-gc-ca-" + img1
myday1.text = content1
myday1.icon = img1
myday1.max = maxtemp
last_ts = myday1.timestamp = timestamp1
myday1.day = datetime.datetime.fromtimestamp(
myday1.timestamp).strftime("%A")
myday1.min = pop1
days += str(myday1) + ","
if head2 != "":
img2 = img2[14:-4]
if use_icons == "1":
img2 = "wca" + img2 + ".png"
else:
if img2 == "26":
img2 = "flaticon-thermometer"
else:
img2 = "wi wi-weather-gc-ca-" + img2
myday2.text = content2
myday2.icon = img2
myday2.max = mintemp
last_ts = myday2.timestamp = timestamp2
myday2.day = datetime.datetime.fromtimestamp(
myday2.timestamp).strftime("%A")
myday2.day += " Night"
myday2.min = pop2
days += str(myday2) + ","
j += 1
if days[-1:] == ",":
days = days[:-1]
days = "[" + days + "]"
return [True, days, desc]
def process_wgov(data):
""" Process the data from weather.gov """
metric = main.get_string("metric", "1")
days = ""
jobj = json.loads(data)
desc = jobj['currentobservation']['name']
# tmp = jobj['creationDate']
# date = tmp[:-3] + tmp[-2:]
# print(date)
# timestamp = time.mktime(time.strptime(date, '%Y-%m-%dT%H:%M:%S%z'))
period_name = jobj['time']['startPeriodName']
valid_time = jobj['time']['startValidTime']
weather = jobj['data']['weather']
icon_link = jobj['data']['iconLink']
temperature = jobj['data']['temperature']
rng = range(0, len(period_name))
for i in rng:
myday = day.Day()
# https://forecast.weather.gov/newimages/medium/bkn.png
# DualImage.php?i=bkn&j=scttsra&jp=30
# https://forecast.weather.gov/DualImage.php?i=bkn&j=scttsra&jp=30
icon_link[i] = icon_link[i].replace("http://", "https://").replace(
".png", ".jpg").strip()
file_name = "wgov" + os.path.basename(icon_link[i])
if file_name.startswith("wgovDualImage.php"):
tmp = icon_link[i].split("?", 1)[1].strip()
fimg = simg = ""
fper = sper = ""
lines = tmp.split("&")
for line in lines:
line = line.strip()
bits = line.split("=", 1)
if bits[0].strip() == "i":
fimg = "wgov" + bits[1].strip() + ".jpg"
if bits[0].strip() == "j":
simg = "wgov" + bits[1].strip() + ".jpg"
if bits[0].strip() == "ip":
fper = bits[1].strip()
if bits[0].strip() == "jp":
sper = bits[1].strip()
bmp1 = Image.open(main.CACHEBASE + "/" + fimg).convert("RGBA")
if fimg != simg:
bmp2 = Image.open(main.CACHEBASE + "/" + simg).convert("RGBA")
icon_link[i] = combine_images(bmp1, bmp2, fimg[4:-4],
simg[4:-4], fper + "%",
sper + "%")
else:
icon_link[i] = combine_image(bmp1, fper + "%", sper + "%")
else:
match = re.search(r"\d{2,3}", file_name)
if match is not None:
file_name = re.sub(r'\d{2,3}\.jpg$', ".jpg", file_name)
bmp1 = Image.open(main.CACHEBASE + "/" +
file_name).convert("RGBA")
icon_link[i] = combine_image(bmp1, match.group(0) + "%", "%")
else:
icon_link[i] = file_name
tmp = valid_time[i]
date = tmp[:-3] + tmp[-2:]
myday.timestamp = time.mktime(
time.strptime(date, '%Y-%m-%dT%H:%M:%S%z'))
myday.day = period_name[i]
myday.max = temperature[i] + "°F"
if metric == "1":
myday.max = str(round(
(float(temperature[i]) - 32) * 5 / 9)) + "°C"
myday.text = weather[i]
myday.icon = icon_link[i]
days += str(myday) + ","
if days[-1:] == ",":
days = days[:-1]
days = "[" + days + "]"
return [True, days, desc]
def process_bom2(data):
""" Process BoM forecasts method 2 """
use_icons = main.get_string("use_icons", "0")
metric = main.get_string("metric", "1")
desc = data.split('<title>', 1)[1].split(' Weather - Bureau of Meteorology</title>', 1)[0]
desc = desc + ", Australia"
data = data.split('<div class="forecasts">', 1)[1]
days = ""
bits = data.split('<dl class="forecast-summary">')
del bits[0]
bit = bits[0]
myday = day.Day()
myday.day = bit.split('<a href="', 1)[1].split('">', 1)[0].split("/forecast/detailed/#d", 1)[1]
myday.timestamp = time.mktime(time.strptime(myday.day, '%Y-%m-%d'))
myday.day = datetime.datetime.fromtimestamp(myday.timestamp).strftime("%A")
myday.icon = bit.split("<img src=\"", 1)[1].split("\" alt=\"", 1)[0]
myday.icon = myday.icon.strip()
if '<dd class="max">' in bit:
myday.max = bit.split('<dd class="max">', 1)[1].split('</dd>', 1)[0].strip()
if '<dd class="min">' in bit:
myday.min = bit.split("<dd class=\"min\">")[1].split("</dd>")[0].strip()
myday.text = bit.split('<dd class="summary">', 1)[1].split('</dd>', 1)[0].strip()
file_name = os.path.basename(myday.icon)[:-4]
if use_icons != "1":
if file_name != "frost":
myday.icon = "wi wi-bom-" + file_name
else:
myday.icon = "flaticon-thermometer"
else:
myday.icon = "bom2" + file_name.replace('-', '_') + ".png"
myday.max = myday.max.replace("°C", "").replace("°C", "").strip()
myday.min = myday.min.replace("°C", "").replace("°C", "").strip()
if metric == "1":
myday.max += "°C"
myday.min += "°C"
else:
if myday.min != "":
myday.min = str(round(float(myday.min) * 9.0 / 5.0 + 32.0)) + "°F"
if myday.max != "":
myday.max = str(round(float(myday.max) * 9.0 / 5.0 + 32.0)) + "°F"
if myday.min.startswith("°"):
myday.min = ""
if myday.max == "" or myday.max.startswith("°"):
myday.max = "N/A"
days += str(myday) + ","
del bits[0]
for bit in bits:
if '</div>' in bit:
bit = bit.split('</div>', 1)[0].strip()
myday = day.Day()
myday.day = bit.split('<a href="', 1)[1].split('">', 1)[0]
myday.day = myday.day.split("/forecast/detailed/#d", 1)[1].strip()
myday.timestamp = time.mktime(time.strptime(myday.day, '%Y-%m-%d'))
myday.day = datetime.datetime.fromtimestamp(myday.timestamp).strftime("%A")
myday.icon = bit.split('<img src="', 1)[1].split('" alt="', 1)[0].strip()
myday.max = bit.split('<dd class="max">')[1].split('</dd>')[0].strip()
myday.min = bit.split('<dd class="min">')[1].split('</dd>')[0].strip()
myday.text = bit.split('<dd class="summary">', 1)[1].split('</dd>', 1)[0].strip()
file_name = os.path.basename(myday.icon)[:-4]
if use_icons != "1":
if file_name != "frost":
myday.icon = "wi wi-bom-" + file_name
else:
myday.icon = "flaticon-thermometer"
else:
myday.icon = "bom2" + file_name.replace('-', '_') + ".png"
myday.max = myday.max.replace("°C", "").replace("°C", "").strip()
myday.min = myday.min.replace("°C", "").replace("°C", "").strip()
if metric == "1":
myday.max += "°C"
myday.min += "°C"
else:
if myday.min != "":
myday.min = str(round(float(myday.min) * 9.0 / 5.0 + 32.0)) + "°F"
if myday.max != "":
myday.max = str(round(float(myday.max) * 9.0 / 5.0 + 32.0)) + "°F"
if myday.min.startswith("°"):
myday.min = ""
if myday.max == "" or myday.max.startswith("°"):
myday.max = "N/A"
days += str(myday) + ","
if days[-1:] == ",":
days = days[:-1]
days = "[" + days + "]"
return [True, days, desc]
def process_wz(data):
""" Process Weather Zone forecast """
jobj = xmltodict.parse(data)
jobj = jobj['rss']['channel']
pub_date = jobj["pubDate"]
desc = jobj["title"]
# Sun, 12 May 2019 08:56:04 +1000
# EEE, dd MMM yyyy HH:mm:ss Z
last_ts = time.mktime(time.strptime(pub_date, '%a, %d %b %Y %H:%M:%S %z'))
mydesc = jobj['item'][0]["description"].split("<b>")
days = ""
use_icons = main.get_string("use_icons", "0")
metric = main.get_string("metric", "1")
for line in mydesc:
line = line.strip()
if line == "":
continue
tmp = line.split("</b>", 1)
myday = day.Day()
myday.timestamp = convert_day_to_ts(tmp[0].strip(), last_ts)
if myday.timestamp != 0:
myday.day = datetime.datetime.fromtimestamp(myday.timestamp).strftime("%A")
else:
myday.day = tmp[0].strip()
if len(tmp) <= 1:
continue
mybits = tmp[1].strip().split("<br />")
mybits[1] = mybits[1].strip()
tmpstr = '<img src="http://www.weatherzone.com.au/images/icons/fcast_30/'
myimg = mybits[1].replace(tmpstr, "")
myimg = myimg.replace("\">", "").replace(".gif", "").replace("_", "-").strip()
myday.text = mybits[2].strip()
myrange = mybits[3].split(" - ", 1)
if use_icons != "1":
if myimg != "frost-then-sunny":
myday.icon = "wi wi-weatherzone-" + myimg
else:
myday.icon = "flaticon-thermometer"
else:
myday.icon = "wz" + myimg.replace("-", "_") + ".png"
myday.max = myrange[1].strip()
myday.min = myrange[0].strip()
if metric != "1":
myday.max = round(float(myrange[1][:-7]) * 9.0 / 5.0 + 32.0, 0) + "°F"
myday.min = round(float(myrange[0][:-7]) * 9.0 / 5.0 + 32.0, 0) + "°F"
days += str(myday) + ","
if days[-1:] == ",":
days = days[:-1]
days = "[" + days + "]"
return [True, days, desc]
def process_aemet(data):
""" Process AEMET forecasts """
use_icons = main.get_string("use_icons", "0")
metric = main.get_string("metric", "1")
jobj = xmltodict.parse(data)
jobj = jobj["root"]
desc = jobj["nombre"] + ", " + jobj["provincia"]
# print(desc)
# elaborado = jobj["elaborado"]
# yyyy-MM-dd'T'HH:mm:ss
# timestamp = time.mktime(time.strptime(elaborado, "%Y-%m-%dT%H:%M:%S"))
# dayname = datetime.datetime.fromtimestamp(timestamp).strftime("%A -- %H:%M")
# print(dayname)
days = ""
dates = jobj['prediccion']['dia']
for date in dates:
myday = day.Day()
myday.day = date['@fecha']
myday.timestamp = time.mktime(time.strptime(myday.day, "%Y-%m-%d"))
myday.day = datetime.datetime.fromtimestamp(myday.timestamp).strftime("%A")
myday.max = date['temperatura']['maxima']
myday.min = date['temperatura']['minima']
if isinstance(date['estado_cielo'], collections.OrderedDict):
myday.text = date['estado_cielo']['@descripcion']
myday.icon = date['estado_cielo']['#text']
elif isinstance(date['estado_cielo'], list):
for i in date['estado_cielo']:
try:
if isinstance(i, collections.OrderedDict) and i['#text'] != "":
myday.text = i['@descripcion']
myday.icon = i['#text']
# print(myday)
break
except KeyError:
pass
if use_icons != "1":
if myday.icon != "7":
myday.icon = "wi wi-aemet-" + myday.icon
else:
myday.icon = "flaticon-thermometer"
else:
myday.icon = "aemet_" + myday.icon + "_g.png"
if metric == "1":
myday.max += "°C"
myday.min += "°C"
else:
if myday.min != "":
myday.min = str(round(float(myday.min) * 9.0 / 5.0 + 32.0)) + "°F"
if myday.max != "":
myday.max = str(round(float(myday.max) * 9.0 / 5.0 + 32.0)) + "°F"
if myday.min.startswith("°"):
myday.min = ""
if myday.max == "" or myday.max.startswith("°"):
myday.max = "N/A"
days += str(myday) + ","
if days[-1:] == ",":
days = days[:-1]
days = "[" + days + "]"
return [True, days, desc]
def process_dwd(data):
""" Process DWD.de forecasts """
use_icons = main.get_string("use_icons", "0")
metric = main.get_string("metric", "1")
days = ""
bits = data.split("<title>", 1)[1]
desc = bits.split("</title>", 1)[0]
desc = desc.split(' - ', 2)[2].strip()
ftime = data.split('<tr class="headRow">', 1)[1].split('</tr>', 1)[0].strip()
date = ftime.split('<td width="30%" class="stattime">', 1)[1].split('</td>', 1)[0].strip()
ftime = date + " " + ftime.split('<td width="40%" class="stattime">', 2)[1]
ftime = ftime.split(' Uhr</td>', 1)[0].strip()
# dd.MM.yyyy HH
last_ts = time.mktime(time.strptime(ftime, "%d.%m.%Y %H"))
# dayname = datetime.datetime.fromtimestamp(timestamp).strftime("%A -- %Y-%m-%d %H")
# print(dayname)
data = data.split('<td width="40%" class="statwert">Vorhersage</td>', 1)[1]
data = data.split('</table>', 1)[0].strip()
lines = data.split('<tr')
del lines[0]
for line in lines:
myday = day.Day()
if len(line.split('<td ><b>')) > 1:
myday.day = line.split('<td ><b>', 1)[1].split('</b></td>', 1)[0].strip()
else:
myday.day = line.split('<td><b>', 1)[1].split('</b></td>', 1)[0].strip()
myday.timestamp = convert_day_to_ts(myday.day, last_ts, "de_DE")
if len(line.split('<td ><img name="piktogramm" src="', 2)) > 1:
myday.icon = line.split('<td ><img name="piktogramm" src="', 1)[1]
myday.icon = myday.icon.split('" width="50" alt="', 1)[0].strip()
else:
myday.icon = line.split('<td><img name="piktogramm" src="', 1)[1]
myday.icon = myday.icon.split('" width="50" alt="', 1)[0].strip()
for i in line.split('<td'):
if 'Grad' in i:
myday.max = i
myday.max = myday.max.split('Grad', 1)[0].strip()[1:]
break
myday.icon = myday.icon.replace('/DE/wetter/_functions/piktos/vhs_', '')
myday.icon = myday.icon.replace('?__blob=normal', '').strip()
myday.icon = "dwd_" + myday.icon.replace('-', '_')
if use_icons != "1":
myday.icon = myday.icon[4:-4]
if myday.icon != "pic-48" and myday.icon != "pic-66" and myday.icon != "pic67":
myday.icon = "wi wi-dwd-" + myday.icon
else:
myday.icon = "flaticon-thermometer"
if metric == "1":
myday.max += "°C"
else:
if myday.max != "":
myday.max = str(round(float(myday.max) * 9.0 / 5.0 + 32.0)) + "°F"
if not myday.max.startswith('°'):
days += str(myday) + ","
if days[-1:] == ",":
days = days[:-1]
days = "[" + days + "]"
return [True, days, desc]
def process_bom1(data):
""" Process BoM FTP forecast """
use_icons = main.get_string("use_icons", "0")
metric = main.get_string("metric", "1")
bomtown = main.get_string("bomtown", "")
if bomtown == "":
return [False, "Town or suburb not set, update settings.txt"]
jobj = xmltodict.parse(data)['product']
# content = jobj["amoc"]["issue-time-local"]['#text']
days = ""
loc_content = None
for area in jobj["forecast"]["area"]:
if bomtown == area['@description']:
loc_content = area
break
if loc_content is None:
return[False, "Unable to match '" + bomtown + "'", ""]
jobj = loc_content
desc = jobj["@description"] + ", Australia"
for forecast in jobj['forecast-period']:
myday = day.Day()
start_time = forecast['@start-time-local'][:-6]
myday.timestamp = time.mktime(time.strptime(start_time, '%Y-%m-%dT%H:%M:%S'))
myday.day = datetime.datetime.fromtimestamp(myday.timestamp).strftime("%A")
if forecast['@index'] != "0":
for i in range(len(forecast['element'])):
if forecast['element'][i]['@type'] == "forecast_icon_code":
myday.icon = forecast['element'][i]['#text']
if forecast['element'][i]['@type'] == "air_temperature_minimum":
myday.min = forecast['element'][i]['#text']
if forecast['element'][i]['@type'] == "air_temperature_maximum":
myday.max = forecast['element'][i]['#text']
else:
try:
myday.icon = forecast['element']['#text']
except Exception:
for i in range(len(forecast['element'])):
if forecast['element'][i]['@type'] == "forecast_icon_code":
myday.icon = forecast['element'][i]['#text']
for i in range(len(forecast['text'])):
if forecast['text'][i]['@type'] == "precis":
myday.text = forecast['text'][i]['#text']
if use_icons != "1":
if myday.icon != "14":
myday.icon = "wi wi-bom-ftp-" + myday.icon
else:
myday.icon = "flaticon-thermometer"
else:
myday.icon = "bom" + myday.icon + ".png"
if metric == "1":
myday.max += "°C"
myday.min += "°C"
else:
myday.min = str(round(float(myday.min) * 9.0 / 5.0 + 32.0)) + "°F"
myday.max = str(round(float(myday.max) * 9.0 / 5.0 + 32.0)) + "°F"
if myday.max == "°C" or myday.max == "°F" or myday.max == "":
myday.max = "N/A"
if myday.min == "°C" or myday.min == "°F":
myday.min = ""
days += str(myday) + ","
if days[-1:] == ",":
days = days[:-1]
days = "[" + days + "]"
return [True, days, desc]
