-<table width=99%% cellspacing=10 border=0>
- <tr>""" % text_location)
- count = parsed_json['cnt']
-
- ts = {}
- highs = {}
- lows = {}
- wind = {}
- conditions = {}
- rain = {}
- snow = {}
- for x in range(0, count):
- data = parsed_json['list'][x]
- dt = data['dt_txt'] # 2019-10-07 18:00:00
- date = dt.split(" ")[0]
- time = dt.split(" ")[1]
- wind[date] = []
- conditions[date] = []
- highs[date] = -99999
- lows[date] = +99999
- rain[date] = []
- snow[date] = []
- ts[date] = 0
-
- for x in range(0, count):
- data = parsed_json['list'][x]
- dt = data['dt_txt'] # 2019-10-07 18:00:00
- date = dt.split(" ")[0]
- time = dt.split(" ")[1]
- _ = data['dt']
- if (_ > ts[date]):
- ts[date] = _
- temp = data["main"]["temp"]
- if (highs[date] < temp):
- highs[date] = temp
- if (temp < lows[date]):
- lows[date] = temp
- wind[date].append(data["wind"]["speed"])
- conditions[date].append(data["weather"][0]["main"])
- if "rain" in data and "3h" in data["rain"]:
- rain[date].append(data["rain"]["3h"])
- else:
- rain[date].append(0)
- if "snow" in data and "3h" in data["snow"]:
- snow[date].append(data["snow"]["3h"])
- else:
- snow[date].append(0)
-
- # {u'clouds': {u'all': 0},
- # u'sys': {u'pod': u'd'},
- # u'dt_txt': u'2019-10-09 21:00:00',
- # u'weather': [
- # {u'main': u'Clear',
- # u'id': 800,
- # u'icon': u'01d',
- # u'description': u'clear sky'}
- # ],
- # u'dt': 1570654800,
- # u'main': {
- # u'temp_kf': 0,
- # u'temp': 54.74,
- # u'grnd_level': 1018.95,
- # u'temp_max': 54.74,
- # u'sea_level': 1026.46,
- # u'humidity': 37,
- # u'pressure': 1026.46,
- # u'temp_min': 54.74
- # },
- # u'wind': {u'speed': 6.31, u'deg': 10.09}}
-
- # Next 5 half-days
- #for x in xrange(0, 5):
- # fcast = parsed_json['forecast']['txt_forecast']['forecastday'][x]
- # text = fcast['fcttext']
- # text = re.subn(r' ([0-9]+)F', r' \1°F', text)[0]
- # f.write('<td style="vertical-align:top;font-size:75%%"><P STYLE="padding:8px;">%s</P></td>' % text)
- #f.write('</tr></table>')
- #f.close()
- #return True
-
- #f.write("<table border=0 cellspacing=10>\n")
- days_seen = {}
- for date in sorted(highs.keys()):
- today = datetime.fromtimestamp(ts[date])
- formatted_date = today.strftime('%a %e %b')
- if (formatted_date in days_seen):
- continue;
- days_seen[formatted_date] = True
- num_days = len(list(days_seen.keys()))
-
- days_seen = {}
- for date in sorted(highs.keys()):
- precip = 0.0
- for _ in rain[date]:
- precip += _
- for _ in snow[date]:
- precip += _
-
- today = datetime.fromtimestamp(ts[date])
- formatted_date = today.strftime('%a %e %b')
- if (formatted_date in days_seen):
- continue;
- days_seen[formatted_date] = True
- f.write('<td width=%d%% style="vertical-align:top;">\n' % (100 / num_days))
- f.write('<table border=0>\n')
-
- # Date
- f.write(' <tr><td colspan=3 height=50><b><center><font size=6>' + formatted_date + '</font></center></b></td></tr>\n')
-
- # Icon
- f.write(' <tr><td colspan=3 height=100><center><img src="/icons/weather/%s" height=125></center></td></tr>\n' %
- self.pick_icon(conditions[date], rain[date], snow[date]))
-
- # Low temp
- color = "#000099"
- if (lows[date] <= 32.5):
- color = "#009999"
- f.write(' <tr><td width=33%% align=left><font color="%s"><b>%d°F </b></font></td>\n' % (
- color, int(lows[date])))
-
- # Total precip
- precip *= 0.0393701
- if (precip > 0.025):
- f.write(' <td width=33%%><center><b><font style="background-color:#dfdfff; color:#003355">%3.1f"</font></b></center></td>\n' % precip)
- else:
- f.write(' <td width=33%> </td>\n')
-
- # High temp
- color = "#800000"
- if (highs[date] >= 80):
- color = "#AA0000"
- f.write(' <td align=right><font color="%s"><b> %d°F</b></font></td></tr>\n' % (
- color, int(highs[date])))
-
- # Text "description"
- f.write('<tr><td colspan=3 style="vertical-align:top;font-size:75%%">%s</td></tr>\n' %
- self.describe_weather(highs[date], lows[date], wind[date], conditions[date], rain[date], snow[date]))
- f.write('</table>\n</td>\n')
- f.write("</tr></table></center>")
+<table width=99% cellspacing=10 border=0>
+ <tr>"""
+ )
+ count = parsed_json["cnt"]
+
+ ts = {}
+ highs = {}
+ lows = {}
+ wind: Dict[str, List[float]] = {}
+ conditions: Dict[str, List[str]] = {}
+ rain: Dict[str, List[float]] = {}
+ snow: Dict[str, List[float]] = {}
+ for x in range(0, count):
+ data = parsed_json["list"][x]
+ dt = data["dt_txt"] # 2019-10-07 18:00:00
+ date = dt.split(" ")[0]
+ time = dt.split(" ")[1]
+ wind[date] = []
+ conditions[date] = []
+ highs[date] = -99999
+ lows[date] = +99999
+ rain[date] = []
+ snow[date] = []
+ ts[date] = 0
+
+ for x in range(0, count):
+ data = parsed_json["list"][x]
+ dt = data["dt_txt"] # 2019-10-07 18:00:00
+ date = dt.split(" ")[0]
+ time = dt.split(" ")[1]
+ _ = data["dt"]
+ if _ > ts[date]:
+ ts[date] = _
+ temp = data["main"]["temp"]
+ if highs[date] < temp:
+ highs[date] = temp
+ if temp < lows[date]:
+ lows[date] = temp
+ wind[date].append(data["wind"]["speed"])
+ conditions[date].append(data["weather"][0]["main"])
+ if "rain" in data and "3h" in data["rain"]:
+ rain[date].append(data["rain"]["3h"])
+ else:
+ rain[date].append(0)
+ if "snow" in data and "3h" in data["snow"]:
+ snow[date].append(data["snow"]["3h"])
+ else:
+ snow[date].append(0)
+
+ # {u'clouds': {u'all': 0},
+ # u'sys': {u'pod': u'd'},
+ # u'dt_txt': u'2019-10-09 21:00:00',
+ # u'weather': [
+ # {u'main': u'Clear',
+ # u'id': 800,
+ # u'icon': u'01d',
+ # u'description': u'clear sky'}
+ # ],
+ # u'dt': 1570654800,
+ # u'main': {
+ # u'temp_kf': 0,
+ # u'temp': 54.74,
+ # u'grnd_level': 1018.95,
+ # u'temp_max': 54.74,
+ # u'sea_level': 1026.46,
+ # u'humidity': 37,
+ # u'pressure': 1026.46,
+ # u'temp_min': 54.74
+ # },
+ # u'wind': {u'speed': 6.31, u'deg': 10.09}}
+
+ # Next 5 half-days
+ # for x in xrange(0, 5):
+ # fcast = parsed_json['forecast']['txt_forecast']['forecastday'][x]
+ # text = fcast['fcttext']
+ # text = re.subn(r' ([0-9]+)F', r' \1°F', text)[0]
+ # f.write('<td style="vertical-align:top;font-size:75%%"><P STYLE="padding:8px;">%s</P></td>' % text)
+ # f.write('</tr></table>')
+ # f.close()
+ # return True
+
+ # f.write("<table border=0 cellspacing=10>\n")
+ days_seen = {}
+ for date in sorted(highs.keys()):
+ today = datetime.fromtimestamp(ts[date])
+ formatted_date = today.strftime("%a %e %b")
+ if formatted_date in days_seen:
+ continue
+ days_seen[formatted_date] = True
+ num_days = len(list(days_seen.keys()))
+
+ days_seen = {}
+ for date in sorted(highs.keys()):
+ precip = 0.0
+ for _ in rain[date]:
+ precip += _
+ for _ in snow[date]:
+ precip += _
+
+ today = datetime.fromtimestamp(ts[date])
+ formatted_date = today.strftime("%a %e %b")
+ if formatted_date in days_seen:
+ continue
+ days_seen[formatted_date] = True
+ f.write(
+ '<td width=%d%% style="vertical-align:top;">\n' % (100 / num_days)
+ )
+ f.write("<table border=0>\n")
+
+ # Date
+ f.write(
+ " <tr><td colspan=3 height=50><b><center><font size=6>"
+ + formatted_date
+ + "</font></center></b></td></tr>\n"
+ )
+
+ # Icon
+ f.write(
+ ' <tr><td colspan=3 height=100><center><img src="/kiosk/images/weather/%s" height=125></center></td></tr>\n'
+ % self.pick_icon(conditions[date], rain[date], snow[date])
+ )
+
+ # Low temp
+ color = "#000099"
+ if lows[date] <= 32.5:
+ color = "#009999"
+ f.write(
+ ' <tr><td width=33%% align=left><font color="%s"><b>%d°F </b></font></td>\n'
+ % (color, int(lows[date]))
+ )
+
+ # Total precip
+ precip *= 0.0393701
+ if precip > 0.025:
+ f.write(
+ ' <td width=33%%><center><b><font style="background-color:#dfdfff; color:#003355">%3.1f"</font></b></center></td>\n'
+ % precip
+ )
+ else:
+ f.write(" <td width=33%> </td>\n")
+
+ # High temp
+ color = "#800000"
+ if highs[date] >= 80:
+ color = "#AA0000"
+ f.write(
+ ' <td align=right><font color="%s"><b> %d°F</b></font></td></tr>\n'
+ % (color, int(highs[date]))
+ )
+
+ # Text "description"
+ f.write(
+ '<tr><td colspan=3 style="vertical-align:top;font-size:75%%">%s</td></tr>\n'
+ % self.describe_weather(
+ highs[date],
+ lows[date],
+ wind[date],
+ conditions[date],
+ rain[date],
+ snow[date],
+ )
+ )
+ f.write("</table>\n</td>\n")
+ f.write("</tr></table></center>")