nueh/iss-notify

## iss-notify
#!/usr/bin/python
# -*- coding: UTF-8 -*-
#
# Heavily 'inspired' by Dr. Drang (https://github.com/drdrang/heavens-above)

import urllib2
from BeautifulSoup import BeautifulSoup
from datetime import datetime, date, timedelta
from time import strptime
import os
import sys
from os.path import expanduser
import pickle

# home contains the path to the current user's home directory
home = expanduser("~")

# This will be run weekly. The ISS information is given for a 10-day window.
# To avoid duplicating events, we'll filter out events more than 7 days
# in the future.
nextWeek = date.today() + timedelta(days=7)

lastWeek = date.today() - timedelta(days=7)

now = datetime.today()

def modification_date(filename):
    """Get the modification date of a file and return a date object"""
    t = os.path.getmtime(filename)
    return date.fromtimestamp(t)


def parseRow(row):
    """Parse a row of Heavens Above data and return the start date (datetime),
    the intensity (integer), and the beginning, peak, and end sky positions (strings)."""

    cols = row.findAll('td')
    dStr = cols[0].a.string
    t1Str = ':'.join(cols[2].string.split(':')[0:3])
    t3Str = ':'.join(cols[8].string.split(':')[0:3])
    intensity = float(cols[1].string)
    alt1 = cols[3].string.replace(u'°', '')
    az1 = cols[4].string.replace('E', 'O')  # convert 'East' to 'Ost'
    alt2 = cols[6].string.replace(u'°', '')
    az2 = cols[7].string.string.replace('E', 'O')
    alt3 = cols[9].string.replace(u'°', '')
    az3 = cols[10].string.string.replace('E', 'O')
    loc1 = '%s-%s' % (az1, alt1)
    loc2 = '%s-%s' % (az2, alt2)
    loc3 = '%s-%s' % (az3, alt3)
    startStr = '%s %s %s' % (dStr, date.today().year, t1Str)
    start = datetime(*strptime(startStr, '%d %b %Y %H:%M:%S')[0:7])
    endStr = '%s %s %s' % (dStr, date.today().year, t3Str)
    end = datetime(*strptime(endStr, '%d %b %Y %H:%M:%S')[0:7])
    return (start, end, intensity, loc1, loc2, loc3)


def getPasses():

    # Heavens Above URL.
    haurl = "http://www.heavens-above.com/PassSummary.aspx?satid=25544&lat=53.08333&lng=8.8&loc=Bremen&alt=3&tz=CET"

    out = u"Suche in den Interwebs …\n"
    print out.encode("utf-8")
    # Get the 10-day ISS page.
    req = urllib2.Request(haurl)
    response = urllib2.urlopen(req)
    data = response.read()
    iHtml = data

    # In the past, Beautiful Soup hasn't been able to parse the Heavens Above HTML.
    # To get around this problem, we extract just the table of ISS data and set
    # it in a well-formed HTML skeleton. If there is no table of ISS data, create
    # an empty table.
    try:
        table = iHtml.split(
            r'<table class="standardTable"', 1)[1]
        table = table.split(r'>', 1)[1]
        table = table.split(r'</table>', 1)[0]
    except IndexError:
        table = '<tr><td></td></tr>'

    html = '''<html>
    <head>
    </head>
    <body>
    <table>
    %s
    </table>
    </body>
    </html>''' % table

    # Parse the HTML.
    soup = BeautifulSoup(html)

    # Collect only the data rows of the table.
    rows = soup.findAll('table')[0].findAll('tr')[2:]

    passes_dict = []
    # Go through the data rows.
    for row in rows:
        (start, end, intensity, loc1, loc2, loc3) = parseRow(row)
        # if intensity <= maxMag and int(loc2.split('-')[1]) >= minAlt and start.date() < nextWeek and start.hour > earliest:
        # Only add dates in the next 7 days
        if start.date() < nextWeek:
            passes_dict.append({"begin_time": start, "end_time": end, "magnitude": intensity, "loc1": loc1, "loc2": loc2, "loc3": loc3})

    f = open(os.path.join(home, ".iss-notitfy-passes.pickle"), 'w')
    pickle.dump(passes_dict, f)
    f.close()
    return passes_dict


passes = []
data_available = False

try:
    f = open(os.path.join(home, ".iss-notitfy-passes.pickle"))
except IOError:
    sys.stdout.write(u"Keine lokalen Daten gefunden. ")
    passes = getPasses()
else:
    modDate = modification_date(os.path.join(home, ".iss-notitfy-passes.pickle"))
    if modDate >= lastWeek:
        passes = pickle.load(f)
        f.close()
    else:
        sys.stdout.write(u"Lokale Daten veraltet. ")
        passes = getPasses()

# Loop through the passes and find the first upcoming one
for apass in passes:
    next_pass = apass["begin_time"]

    timedelta = next_pass - now

    past = timedelta.days

    if past >= 0:
        days_to_next_pass = timedelta.days
        seconds_to_next_pass = timedelta.seconds
        data_available = True
        break
    else:
        data_available = False


if data_available:
    location = apass["loc1"]
    magnitude = apass["magnitude"]

    # How long will this pass last?
    duration = apass["end_time"] - apass["begin_time"]
    pass_length = duration.seconds

    minutes_to_next_pass = seconds_to_next_pass / 60
    hours_to_next_pass = minutes_to_next_pass / 60
    restminuten = minutes_to_next_pass % 60

    out = u"Nächster Überflug in %d Tagen, %d Stunden und %d Minuten.\nRichtung %s°, scheinbare Helligkeit %2.1f mag, Dauer %d Sekunden." % (days_to_next_pass, hours_to_next_pass, restminuten, location, magnitude, pass_length)
    print out.encode("utf-8")
else:
    out = u"Leider keine Überflüge in den nächsten Tagen"
    print out.encode("utf-8")
	#!/usr/bin/python
	# -- coding: UTF-8 --
	#
	# Heavily 'inspired' by Dr. Drang (https://github.com/drdrang/heavens-above)

	import urllib2
	from BeautifulSoup import BeautifulSoup
	from datetime import datetime, date, timedelta
	from time import strptime
	import os
	import sys
	from os.path import expanduser
	import pickle

	# home contains the path to the current user's home directory
	home = expanduser("~")

	# This will be run weekly. The ISS information is given for a 10-day window.
	# To avoid duplicating events, we'll filter out events more than 7 days
	# in the future.
	nextWeek = date.today() + timedelta(days=7)

	lastWeek = date.today() - timedelta(days=7)

	now = datetime.today()

	def modification_date(filename):
	"""Get the modification date of a file and return a date object"""
	t = os.path.getmtime(filename)
	return date.fromtimestamp(t)


	def parseRow(row):
	"""Parse a row of Heavens Above data and return the start date (datetime),
	the intensity (integer), and the beginning, peak, and end sky positions (strings)."""

	cols = row.findAll('td')
	dStr = cols[0].a.string
	t1Str = ':'.join(cols[2].string.split(':')[0:3])
	t3Str = ':'.join(cols[8].string.split(':')[0:3])
	intensity = float(cols[1].string)
	alt1 = cols[3].string.replace(u'°', '')
	az1 = cols[4].string.replace('E', 'O') # convert 'East' to 'Ost'
	alt2 = cols[6].string.replace(u'°', '')
	az2 = cols[7].string.string.replace('E', 'O')
	alt3 = cols[9].string.replace(u'°', '')
	az3 = cols[10].string.string.replace('E', 'O')
	loc1 = '%s-%s' % (az1, alt1)
	loc2 = '%s-%s' % (az2, alt2)
	loc3 = '%s-%s' % (az3, alt3)
	startStr = '%s %s %s' % (dStr, date.today().year, t1Str)
	start = datetime(*strptime(startStr, '%d %b %Y %H:%M:%S')[0:7])
	endStr = '%s %s %s' % (dStr, date.today().year, t3Str)
	end = datetime(*strptime(endStr, '%d %b %Y %H:%M:%S')[0:7])
	return (start, end, intensity, loc1, loc2, loc3)


	def getPasses():

	# Heavens Above URL.
	haurl = "http://www.heavens-above.com/PassSummary.aspx?satid=25544&lat=53.08333&lng=8.8&loc=Bremen&alt=3&tz=CET"

	out = u"Suche in den Interwebs …\n"
	print out.encode("utf-8")
	# Get the 10-day ISS page.
	req = urllib2.Request(haurl)
	response = urllib2.urlopen(req)
	data = response.read()
	iHtml = data

	# In the past, Beautiful Soup hasn't been able to parse the Heavens Above HTML.
	# To get around this problem, we extract just the table of ISS data and set
	# it in a well-formed HTML skeleton. If there is no table of ISS data, create
	# an empty table.
	try:
	table = iHtml.split(
	r'<table class="standardTable"', 1)[1]
	table = table.split(r'>', 1)[1]
	table = table.split(r'</table>', 1)[0]
	except IndexError:
	table = '<tr><td></td></tr>'

	html = '''<html>
	<head>
	</head>
	<body>
	<table>
	%s
	</table>
	</body>
	</html>''' % table

	# Parse the HTML.
	soup = BeautifulSoup(html)

	# Collect only the data rows of the table.
	rows = soup.findAll('table')[0].findAll('tr')[2:]

	passes_dict = []
	# Go through the data rows.
	for row in rows:
	(start, end, intensity, loc1, loc2, loc3) = parseRow(row)
	# if intensity <= maxMag and int(loc2.split('-')[1]) >= minAlt and start.date() < nextWeek and start.hour > earliest:
	# Only add dates in the next 7 days
	if start.date() < nextWeek:
	passes_dict.append({"begin_time": start, "end_time": end, "magnitude": intensity, "loc1": loc1, "loc2": loc2, "loc3": loc3})

	f = open(os.path.join(home, ".iss-notitfy-passes.pickle"), 'w')
	pickle.dump(passes_dict, f)
	f.close()
	return passes_dict


	passes = []
	data_available = False

	try:
	f = open(os.path.join(home, ".iss-notitfy-passes.pickle"))
	except IOError:
	sys.stdout.write(u"Keine lokalen Daten gefunden. ")
	passes = getPasses()
	else:
	modDate = modification_date(os.path.join(home, ".iss-notitfy-passes.pickle"))
	if modDate >= lastWeek:
	passes = pickle.load(f)
	f.close()
	else:
	sys.stdout.write(u"Lokale Daten veraltet. ")
	passes = getPasses()

	# Loop through the passes and find the first upcoming one
	for apass in passes:
	next_pass = apass["begin_time"]

	timedelta = next_pass - now

	past = timedelta.days

	if past >= 0:
	days_to_next_pass = timedelta.days
	seconds_to_next_pass = timedelta.seconds
	data_available = True
	break
	else:
	data_available = False


	if data_available:
	location = apass["loc1"]
	magnitude = apass["magnitude"]

	# How long will this pass last?
	duration = apass["end_time"] - apass["begin_time"]
	pass_length = duration.seconds

	minutes_to_next_pass = seconds_to_next_pass / 60
	hours_to_next_pass = minutes_to_next_pass / 60
	restminuten = minutes_to_next_pass % 60

	out = u"Nächster Überflug in %d Tagen, %d Stunden und %d Minuten.\nRichtung %s°, scheinbare Helligkeit %2.1f mag, Dauer %d Sekunden." % (days_to_next_pass, hours_to_next_pass, restminuten, location, magnitude, pass_length)
	print out.encode("utf-8")
	else:
	out = u"Leider keine Überflüge in den nächsten Tagen"
	print out.encode("utf-8")