bluechips/controllers/status.py

   1 """
   2 Calculate the current state of the books
   3 """
   4
   5 import logging
   6
   7 from bluechips.lib.base import *
   8 from bluechips.lib.totals import *
   9
  10 import sqlalchemy
  11
  12 from datetime import date, timedelta
  13
  14 from bluechips.model.types import Currency
  15
  16 from pylons import request
  17
  18 log = logging.getLogger(__name__)
  19
  20 class StatusController(BaseController):
  21     def index(self):
  22         c.debts = debts()
  23         c.settle = settle(c.debts)
  24
  25         c.total = self._total(sqlalchemy.text('1=1'))
  26
  27         year = date.today() - timedelta(days=365)
  28         this_year = date.today().replace(month=1, day=1)
  29         this_month = date.today().replace(day=1)
  30         last_month = (date.today() - timedelta(days=30)).replace(day=1)
  31
  32         c.year_total, c.this_year_total, c.this_month_total =\
  33             [self._total(model.expenditures.c.date >= i)
  34              for i in [year, this_year, this_month]]
  35
  36
  37         c.last_month_total = self._total(sqlalchemy.and_(
  38                     model.expenditures.c.date >= last_month,
  39                     model.expenditures.c.date < this_month))
  40
  41         c.expenditures = meta.Session.query(model.Expenditure).\
  42             filter(model.Expenditure.spender==request.environ['user']).\
  43             limit(10).all()
  44         c.transfers = meta.Session.query(model.Transfer).\
  45             filter(sqlalchemy.or_(
  46                 model.Transfer.debtor==request.environ['user'],
  47                 model.Transfer.creditor==request.environ['user'])).\
  48                 limit(10).all()
  49
  50         return render('/status/index.mako')
  51
  52     def _total(self, where):
  53         return Currency(meta.Session.execute(sqlalchemy.sql.select([
  54                 sqlalchemy.func.sum(model.expenditures.c.amount).\
  55                     label('total')]).\
  56                     where(where)).scalar() or 0)