from datetime import datetime
from icalendar import Calendar, Event, LocalTimezone
from myExcelerator import *
from CourseIcal import master_course_schedule_factory
from csvtool import gslCsv
tzinfo = LocalTimezone()
rex1 = re.compile('.*（([0-9]{2}):([0-9]{2}).*'.decode('utf8'))
ws = WrappedWorkbook(sys.argv[1])
ws.dump_csv( gp.csv.src('faculty_meetings_raw.csv') ,sheetoffset=0, sheets=12, rowoffset=3)
base_year = int(re.sub('^([0-9]*).*','\\1',ws.data[0][1][(0,0)]))
cal = master_course_schedule_factory('Faculty meetings')
count = 1
oldday = 1
fh = open( gp.csv.src('faculty_meetings_raw.csv') )
c = gslCsv( fh, offset=0 )
for entry in c:
#print sheet.encode('utf8')
month = int(re.sub('^([0-9]*).*','\\1',entry['sheetname']))
year = base_year
if month < 4:
year = base_year + 1
if entry['法学研究科'].count('教授会'.decode('utf8')):
translation = tx[pos].strip()
translations[key] = translation
cal = Calendar()
cal.add('prodid', '-//Faculty calendar//gsl-nagoya-u.net//')
cal.add('version', '2.0')
count = 1
data = ws.get_sheet(sheet_names[0],keyrow=None)
#print sheet.encode('utf8')
year = int(re.sub('^([0-9]*).*','\\1',data[(0,0)]))
cal = master_course_schedule_factory('Postgraduate calendar',dates=False)
#if month < 4:
# year = year + 1
for d in data.keys():
print '%d:%d %s' % (d[0],d[1],data[d])
if d[1] == 2:
s = data[d].strip()
r = re.match('(?:([0-9]*)月([0-9]*)日)（(?:月|火|水|木|金)）(?:[・～](?:([0-9]+)月)*([0-9]+)日)*(?:.*)'.decode('utf8'),s)
if r:
key = data[(d[0],1)]
title = translations[key]
if title.startswith('*'):
fulltitle = title
title = title[title.find('*',1):]
ifh = open( gp.pickle.src('binran_translations.txt'), 'r')
tx = ifh.read()
ifh.close()
translations = {}
tx = re.split("\n",tx)
for pos in range(len(tx)-1,-1,-1):
if tx[pos].startswith(' '):
key = tx[pos-1].decode('utf8')
translation = tx[pos].strip()
translations[key] = translation
ws = WrappedWorkbook(sys.argv[1])
ws.dump_csv( gp.csv.src('events_raw.csv') ,rowoffset=1)
cal = master_course_schedule_factory('Events')
fh = open( gp.csv.src('events_raw.csv') )
c = gslCsv( fh, offset=0 )
for entry in c:
if translations.has_key(entry['行事の種類'].decode('utf8')):
e_type = translations[entry['行事の種類'].decode('utf8')]
else:
e_type = entry['行事の種類']
# Get the time set, if any
## Normalize
if rex5.match(entry['時間']):
entry['時間'] = '%0.2f' % (24 * float(entry['時間']),)
entry['時間'] = str(entry['時間']).replace('.',':')
## Try for 4 numbers, then try for 2
