def create_health_report(d):
#db.save_state(d)
global debug
stats = {}
total_all_hours = 0.0
total_staff_hours = 0.0
total_leave_and_sickness = 0.0
time_items = d['timeItems']
las_test = lambda(x): employee['IsStaff'] and (x['JobCode'] == '010400' or x['JobCode'] == '010500')
#fmt = '{0:4} {1:15} {2:>10} {3:>10} {4:>10}'
output = []
def add_line(text):
output.append(text)
def add_formatted_line(*fields):
text = []
for fmt, value in zip('{0:4} {0:15} {0:>10} {0:>10} {0:>10}'.split(' '), fields):
#pdb.set_trace()
#print fmt, "---", value
text.append(fmt.format(value))
text = ' '.join(text)
add_line(text)
#dir = period.reportdir(d['period'])
#filename = dir +'\\health.txt'
#output = file(filename, "w")
add_formatted_line('INI', 'NAME', 'LEAV/SICK', 'STAFF', 'ALL')
for employee_initials, worker_times in common.aggregate(time_items, common.mkKeyFunc('Person')):
try: employee = d['employees'][employee_initials]
except KeyError: continue
full_name = employee['PersonNAME']
time_val = mkKeyFunc('TimeVal')
#if debug and employee_initials == "AM": pdb.set_trace()
staff_hours = summate(worker_times, time_val, lambda(x): employee['IsStaff'])
total_staff_hours += staff_hours
leave_and_sickness = summate(worker_times, time_val, las_test)
total_leave_and_sickness += leave_and_sickness
all_hours = summate(worker_times, time_val)
total_all_hours += all_hours
add_formatted_line(employee_initials, full_name, leave_and_sickness, staff_hours, all_hours)
add_formatted_line('', 'TOTALS' , total_leave_and_sickness, total_staff_hours, total_all_hours)
add_line('\nHealth & Safety Stats:')
add_line('Staff hours less leave & sickness: {0} - * this goes into cell I8'.format(total_staff_hours - total_leave_and_sickness))
add_line('Total all hours: {0}'.format(total_all_hours))
#output.close()
period.save_report('health.txt', output)
def enumerate_invoices(data):
mans = data['ManualInvoices']
job_codes = data['auto_invoices'].keys()
job_codes.sort()
autos = []
for job in job_codes:
inv = data['auto_invoices'][job]
inv['JobCode'] = job
inv['client'] = ''
inv['irn'] = ''
inv['desc'] = ''
autos.append(inv)
autos = filter(lambda x: x['net'] <> 0.0, autos)
the_invoices = mans + autos
# augment vat rates
jobs = data['jobs']
for inv in the_invoices:
job = jobs[inv['JobCode']]
vatable = job['vatable']
inv['vat_rate'] = tri(vatable, VAT, 0.0)
net = common.summate(the_invoices, lambda x: x['net'])
return the_invoices
import pdb
import pickle
import pprint
import common
import db
def pic():
data = db.fetch()
db.save_state(data)
#pic()
#data = db.load_state()
#pic()
data = db.fetch()
pp = pprint.PrettyPrinter(indent=4)
for e in sorted(data['employees']):
print e
times = filter(lambda x: x['Person'] == e, data['timeItems'])
aggregates = common.aggregate(times, lambda x: (x['JobCode'], x['Task']))
for key, vals in aggregates:
total_times = common.summate(vals, common.mkKeyFunc('TimeVal'))
print key, " ", total_times
#pdb.set_trace()
#pp.pprint(aggregates)
print
#print data['timeItems']
print "Finished"