def test_can_read_and_parse_data_from_a_log_file(self):
        hourslist = hours_input.readfromlog(r"Tests\TestLog.log")

        assert len(hourslist) == 2
        assert hourslist[0].date == datetime.date(2012, 06, 12)
        assert hourslist[0].start == datetime.time(9, 01)
        assert hourslist[0].end == datetime.time(17, 10)
        assert hourslist[1].date == datetime.date(2012, 06, 13)
        assert hourslist[1].start == datetime.time(8, 13)
        assert hourslist[1].end == datetime.time(16, 14)
    def test_can_read_and_parse_data_from_a_log_file(self):
        hourslist = hours_input.readfromlog(r"Tests\TestLog.log")

        assert len(hourslist) == 2
        assert hourslist[0].date == datetime.date(2012, 06, 12)
        assert hourslist[0].start == datetime.time(9, 01)
        assert hourslist[0].end == datetime.time(17, 10)
        assert hourslist[1].date == datetime.date(2012, 06, 13)
        assert hourslist[1].start == datetime.time(8, 13)
        assert hourslist[1].end == datetime.time(16, 14) 
def generate_estimated_hours(logfile):
    # logfile variable loaded from executing host
    hours = hours_input.readfromlog(logfile)
    hours = hours_feed.calculate_estimated_hours(datetime.datetime.today(), hours)
    hours = hours_estimator.get_estimated_hours(hours)

    # TODO: Seperate this view processing from the estimated hours model later.
    # Sort by date
    hours = sorted(hours, cmp=lambda lhs, rhs: lhs.date > rhs.date)

    weeks = hours_aggregation.group_hours_by_week(hours)
    # Print
    for weekindex in range(len(weeks)):
        print "Week %s" % weeks[weekindex][0].date.isocalendar()[1]
        for day in weeks[weekindex]:
            print day

    return weeks
def generate_estimated_hours(logfile):
    # logfile variable loaded from executing host
    hours = hours_input.readfromlog(logfile)
    hours = hours_feed.calculate_estimated_hours(datetime.datetime.today(),
                                                 hours)
    hours = hours_estimator.get_estimated_hours(hours)

    # TODO: Seperate this view processing from the estimated hours model later.
    # Sort by date
    hours = sorted(hours, cmp=lambda lhs, rhs: lhs.date > rhs.date)

    weeks = hours_aggregation.group_hours_by_week(hours)
    #Print
    for weekindex in range(len(weeks)):
        print "Week %s" % weeks[weekindex][0].date.isocalendar()[1]
        for day in weeks[weekindex]:
            print day

    return weeks
Пример #5
0
def read_hours():
    logFile = os.environ['USERPROFILE'] + r"\Documents\Timesheet.log"
    return hours_input.readfromlog(logFile)
Пример #6
0
def read_hours():   
    logFile = os.environ['USERPROFILE'] + r"\Documents\Timesheet.log"
    return hours_input.readfromlog(logFile)
Пример #7
0
# Script for MVC WebApp
import System
from System import Environment
import datetime
import sys

sys.path.append(r"C:\Users\carmitage\Dropbox\hg\Timesheet-Moose\MoosePy")
sys.path.append(r"C:\Python27\Lib")
from workinghours import hours_feed
from workinghours import hours_input
from workinghours import hours_estimator

logfile = Environment.GetFolderPath(
    Environment.SpecialFolder.MyDocuments) + r"\Timesheet.log"
hours = hours_input.readfromlog(logfile)
#hours = reversed(hours)
hours = hours_feed.calculate_estimated_hours(datetime.datetime.today(), hours)
hours = hours_estimator.get_estimated_hours(hours)
# Script for MVC WebApp
import System
from System import Environment
import datetime
import sys
sys.path.append(r"C:\Users\carmitage\Dropbox\hg\Timesheet-Moose\MoosePy")
sys.path.append(r"C:\Python27\Lib")
from workinghours import hours_feed
from workinghours import hours_input
from workinghours import hours_estimator

logfile = Environment.GetFolderPath(Environment.SpecialFolder.MyDocuments) + r"\Timesheet.log"
hours = hours_input.readfromlog(logfile)
#hours = reversed(hours)
hours = hours_feed.calculate_estimated_hours(datetime.datetime.today(), hours)
hours = hours_estimator.get_estimated_hours(hours)