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#!/usr/bin/env python
#
# Copyright 2007 Matthew Stump
#
#    This program is free software: you can redistribute it and/or modify
#    it under the terms of the GNU General Public License as published by
#    the Free Software Foundation, either version 3 of the License, or
#    (at your option) any later version.
#
#    This program is distributed in the hope that it will be useful,
#    but WITHOUT ANY WARRANTY; without even the implied warranty of
#    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
#    GNU General Public License for more details.

#    You should have received a copy of the GNU General Public License
#    along with this program.  If not, see <http://www.gnu.org/licenses/>.

import wsgiref.handlers, csv, re
from google.appengine.ext import webapp
from google.appengine.api import urlfetch
from StringIO import StringIO
from datetime import *


YHOO_URL = "http://ichart.finance.yahoo.com/table.csv?s=%s&a=%s&b=%s&c=%s&g=v&ignore=.csv"
GOOG_URL = "http://finance.google.com/finance?q=%s"
TICKER_REGEX = re.compile("[A-Za-z]{1,4}")
GOOG_EVENT_REGEX = re.compile("_chartConfigObject\.corpActionsArray = eval\('\((.*)\)'\);")
unzip = lambda l:tuple(zip(*l))


class MainHandler(webapp.RequestHandler):

    def get(self):
        ticker = self.request.get('t')
        if ticker == '' or not TICKER_REGEX.match(ticker):
            self.response.out.write("--")
            return

        mode = self.request.get('dm')
        year = self.request.get('y')
        month = self.request.get('m')
        day = self.request.get('d')
        if mode == 'r':
            try:
                startDate = datetime(int(year), int(month), int(day))
            except:
                startDate = datetime.now() - timedelta(365 * 10)

            today = datetime.today()
            headers = ["Date", "Dividend Payout", "Split Multiplier"]

            filteredData = fetch_goog_data(ticker, startDate, today)
            filteredData = [ "%s,%s" % (x[0].strftime("%Y-%m-%d"), ",".join(x[1:])) for x in filteredData ]
            filteredData.insert(0, ",".join(headers))

            output = "\n".join(filteredData)
            self.response.out.write(output)

        elif mode == "d4l":
            startDate = datetime.now() - timedelta(365 * 11)
            endDate = datetime.now() - timedelta(365)
            filteredData = fetch_goog_data(ticker, startDate, endDate)
            year_buckets = {}        

            for (date, dividend, _) in filteredData:
                if year_buckets.has_key(date.year):
                    year_buckets[date.year] += dividend
                else:
                    year_buckets[date.year] = dividend

            del filteredData
            years = year_buckets.keys()
            years.sort()
            years.reverse()
            values = ",".join([ str(year_buckets[x]) for x in years ])
            years = ",".join(map(str, years))
            self.response.out.write("<html><body><pre>%s</pre></body></html>" % "\n".join([years, values]))
            
        else:
            tenYago = (datetime.now() - timedelta(365 * 11)).year
            result = urlfetch.fetch(YHOO_URL % (ticker, "00", "01", tenYago))
            csv_reader = csv.reader(StringIO(result.content))
            output = parse_csv_data(csv_reader)
            self.response.out.write(output)


def fetch_goog_data(ticker, startDate, endDate):
    eventData = eval(GOOG_EVENT_REGEX.search(urlfetch.fetch(GOOG_URL % ticker).content).group(1))

    filteredData = []
    for event in eventData:
        if event.has_key('_payable_date'):
            date = datetime.fromtimestamp(float(event['_payable_date']))
            if date < endDate and date > startDate:
                filteredData.append([date, float(event['_amount']), 1.0])

        elif event.has_key('_new_shares'):
            date = datetime.fromtimestamp(float(event['_date']))
            if date < endDate and date > startDate:
                filteredData.append([ date, 0.0, float(event['_new_shares']) / float(event['_old_shares']) ])

    del eventData

    filteredData.sort(lambda x, y: cmp(x[0], y[0]))
    return filteredData


def parse_csv_data(csv_reader, header=True):
    if header:
        csv_reader.next()

    now = datetime.now()
    oneYdelta = timedelta(365)
    oneYago = now - oneYdelta

    previous365 = []
    year_buckets = {}

    def year_over_growth():
        growth = {}
        for y in year_buckets.keys():
            if y != now.year and year_buckets.has_key(y - 1):
                curr = sum_dividend(year_buckets[y])
                prev = sum_dividend(year_buckets[y - 1])
                growth[y] = ((curr - prev) / prev)

        #if len(year_buckets[oneYago.year]) > len(year_buckets[now.year]):
        #    div_remaining = len(year_buckets[oneYago.year]) - len(year_buckets[now.year])
        #    last_payment = 

        if len(year_buckets.keys()) >= 5:
            fiveYavg = sum([growth.get(x, 0.0) for x in xrange(oneYago.year - 5, oneYago.year)]) / 5.0

            if len(year_buckets.keys()) >= 10:
                tenYavg = sum(growth.values()) / 10.0
            else:
                tenYavg = "--"
        else:
            fiveYavg = "--"
            tenYavg = "--"

        return (fiveYavg, tenYavg)
        

    def sum_dividend(div_list):
        total = 0.0
        for (_, div) in div_list:
           total += div

        return total

    def parse((date, value)):
      date = datetime.strptime(date,  "%Y-%m-%d")
      value = float(value)

      if year_buckets.has_key(date.year):
          year_buckets[date.year].append((date, value))

      else:
          year_buckets[date.year] = [(date, value)]

      return (date, value)

    payments = [ parse(x) for x in csv_reader ]

    if year_buckets.has_key(oneYago.year):
        div_frequency = len(year_buckets[oneYago.year])
    else:
        div_frequency = "--"
    
    if len(payments) > 0:
        (last_date, last_payment) = payments[0]
        last_date = last_date.strftime("%Y-%m-%d")
    else:
        (last_date, last_payment) = ("--", "--")

    (fiveYavg, tenYavg) = year_over_growth()
    
    return "%s,%s,%s,%s,%s" % (last_payment, last_date, div_frequency, fiveYavg, tenYavg)



def main():
    application = webapp.WSGIApplication([('/', MainHandler)], debug=True)
    wsgiref.handlers.CGIHandler().run(application)


if __name__ == '__main__':
    main()
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Change log

r14 by MrEvilGnome on Apr 19, 2009   Diff 
added my verilog model that increments an
8bit counter and pushes the value over USB
via the FT245RL 1 byte at a time.
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Older revisions

r13 by MrEvilGnome on Aug 14, 2008   Diff 
Switched from yahoo to google for the
DRIP calculator.
Added support for stock splits.
r12 by MrEvilGnome on Aug 14, 2008   Diff 
I accidently broke the old
functionality when adding the drip
feature.
r11 by MrEvilGnome on Aug 12, 2008   Diff 
added a new feature that just reverses
the order of the dividend data from
yahoo
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