dayhacker/dayhacker_personalization.py.template at master · shimon/dayhacker · GitHub

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"""
This file contains personal settings used by dayhacker to generate calendar PDFs.
Copy the .template file to dayhacker_personalization.py and edit to include
your ICal feed, name, etc.
"""

# This is used in generating the title on the PDF.
YOUR_NAME = "Shimon Rura"

# iCalendar feed URL, if you want your schedule included.  Set to None to omit
# calendar data inclusion.
ICAL_FEED_URL = "http://www.google.com/calendar/ical/someone%40gmail.com/private-.../basic.ics"

# Location for weather.  Set to None to omit weather info.  Zipcodes or
# city,st should work; if you're not seeing the weather text even with this
# set, data might not be available for the location you've specified.
WEATHER_LOCATION = "02140"

# These classifications are used to generate the scoring part of
# Modify these as desired.  You have two lines of title text and a score
# line for each category.
#
# There is room for 5 of these; less will look OK, more will probably
# require tweaking the location of the TOTAL: text on the bottom line.
CLASSIFICATIONS = (
    dict(title1="Billable",
         title2="Work",
         score=5),
    dict(title1="Required",
         title2="Overhead",
         score=4),
    dict(title1="Professional",
         title2="Development",
         score=4),
    dict(title1="Personal",
         title2="Development",
         score=3),
    dict(title1="R&R",
         score=1),
)

# You can set custom reminders. Currently the only supported period is
# "monthly".  For monthly repeating events, you select the "point" (weekday;
# monday=0) and the "seq" (which of the weeks in the month). So the first
# monday of every month would be point=0 seq=0; the second wednesday would
# be point=2 seq=1, etc. As you can see, this was written to help me
# remember to move my car on street cleaning days.
CUSTOM_DAY_REMINDERS = (
    dict(title="St Cleaning, 1st Tue (No park far side)",
         period="monthly",
         point=1, # as returned by datetime.date.today().weekday()
         seq=0),  # the result of math.floor(( datetime.date.today().day - 1 ) / 7.0) ## (zero-indexed)

    dict(title="St Cleaning, 3rd Tue (No park far side)",
         period="monthly",
         point=1,
         seq=2),

    dict(title="St Cleaning, 2nd Wed (No park near-side)",
         period="monthly",
         point=2,
         seq=1),

    dict(title="St Cleaning, 4th Wed (No park near-side)",
         period="monthly",
         point=2,
         seq=3),
)