def get_climate_data(place):
def find_separate_weatherbox_template(data):
if data is False:
return ""
# {{cityname weatherbox}} seems to be the usual template name.
# I'll just look for any template ending with weatherbox.
# I've not seen a page this breaks on yet.
# New York City includes its weatherbox through a reference
# to {{New York City weatherbox/cached}}, where the /cached
# template contains rendered HTML tables. I want to look at
# "Template:New York City weatherbox" instead. Not sure how
# common this is, but NYC is pretty major and handling it
# is easy, so might as well.
index2 = max(data.find("weatherbox}}"), data.find("weatherbox/cached}}"), data.find("weatherbox|collapsed=Y}}"))
if index2 > -1:
# there is separate template - get it and process it
index1 = data.rfind("{{", 0, index2)
template_name = "Template:" + data[index1 + 2 : index2 + 10]
weatherbox_title, data = get_page_source(template_name)
if data is not False:
return find_template(data, "Weather box")
# if we didn't find template, or we couldn't get it, fall back
return ""
def parse(text):
text = text.strip().replace("−", "-")
text = text.strip().replace("−", "-")
if text == "-":
# used on some pages to indicate a no data condition
return None
if text == "trace":
# used on some pages to indicate essentially 0, I guess
return 0
return float(text)
def month_number(month):
# convert text month to number
return MONTHS.index(month) + 1
def daily_to_monthly(daily, month):
month = month_number(month)
# use a non-leap year since I suspect monthly numbers are given
# for non-leap Februarys
days = calendar.monthrange(2013, month)[1]
return daily * days
result = {"page_error": False}
for row_name in ROWS:
result[row_name] = []
result["title"], data = get_page_source(place)
if data is False:
# indicates a problem getting data - signal it so output
# can be formatted accordingly
result["page_error"] = True
return result
weatherbox = find_template(data, "Weather box")
weatherbox_info = parse_infobox(weatherbox)
if len(weatherbox_info) == 0:
# weatherbox not found directly on page
# see there's a dedicated city weather template we can look at
weatherbox = find_separate_weatherbox_template(data).strip()
weatherbox_info = parse_infobox(weatherbox)
for key in weatherbox_info:
value = weatherbox_info[key]
# try to parse out location data - usually specifies a neighbourhood,
# weather station, year range info, etc
if key == "location":
# trim off wikilink markers, the most common
# wiki syntax in this field
result["location"] = value.replace("[", "").replace("]", "")
month = key[:3]
if month in MONTHS:
category = key[3:].strip() # take out the month to get data category
value = parse(value) # parse value as number
# last token of category name is sometimes the unit
# (C, F, mm, inch, etc)
unit = category.rsplit(None, 1)[-1]
if category in result:
# straightforward putting the data in
result[category].append(value)
elif unit in UNIT_CONVERSIONS:
# try to convert units to known ones
for target_unit in UNIT_CONVERSIONS[unit]:
# try to find a category we collect that
# we know how to convert into
converted_category = category.replace(unit, target_unit)
if converted_category in result:
converted = UNIT_CONVERSIONS[unit][target_unit](value)
result[converted_category].append(converted)
break
elif category == "d sun":
# special handling for daily sun hours
value = daily_to_monthly(value, month)
result["sun"].append(value)
# Process percentsun if present and we haven't found any other sun data.
# Assume specific hour count is more precise than "% sunshine", so only
# use percentsun if other data is not more available.
# TODO: if percentsun is ahead of sun in the template, this
# precautionary condition will still fail
elif category == "percentsun" and len(result["sun"]) == 0:
if "observer" not in result:
location = result["title"]
# will try to get lat,lng from wikipedia page if location
# is not recognized by pyephem directly
result["observer"] = astrodata.process_location(location)
if result["observer"] != False:
daylight = astrodata.month_daylight(result["observer"], month_number(month))
sun = (daylight.total_seconds() / 3600) * (value / 100)
sun = round(sun, 1)
result["sun"].append(sun)
return result
import calendar
import time
import datetime
import ephem
import astrodata
import climate
if __name__ == '__main__':
cities = climate.get_cities()
data = {'r': [], 'e': []}
for city in cities:
time1 = time.time()
for i in range(12):
data['e'].append(astrodata.month_daylight(city, i+1, True).total_seconds() / 3600)
print "exact: " + str(time.time() - time1)
time2 = time.time()
for i in range(12):
data['r'].append(astrodata.month_daylight(city, i+1, False).total_seconds() / 3600)
print "rough: " + str(time.time() - time2)
for i in range(12):
print str(i+1) + ' ',
print str(round(data['e'][i], 2)) + '-' + str(round(data['r'][i], 2)),
print ' = ' + str(round(data['e'][i] - data['r'][i], 3)),
print '\t: ' + str(round(100 * (data['r'][i] - data['e'][i]) / data['e'][i], 2)) + '%'
# TODO: graph the differences vs actual day lengths to see where
# i'm undershooting and try to understand why?