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 create_statements(data): # TODO - print a warning if exp_factor > 1.05 work_codes = set([common.AsAscii(t["JobCode"]) for t in data["timeItems"]]) the_expenses = data["Expenses"] expense_codes = set([e["JobCode"] for e in the_expenses]) job_codes = list(work_codes.union(expense_codes)) job_codes.sort() if data["auto_invoices"] is None: data["auto_invoices"] = {} for job_code in job_codes: if job_code[0:2] == "01": continue job = data["jobs"][job_code] exps = [] for exp in the_expenses: if exp["JobCode"] <> job_code: continue item = LineItem() item.task = exp["Task"] item.desc = "{0} - {1} - {2}".format(exp["Period"], exp["Name"], exp["Desc"]) item.qty = job["exp_factor"] item.price = exp["Amount"] exps.append(item) times = [] times1 = filter(lambda x: x["JobCode"] == job_code, data["timeItems"]) times2 = common.summate_to_dict(times1, lambda x: (x["Task"], x["Person"]), common.mkKeyFunc("TimeVal")) keys = times2.keys() keys = sorted(keys, key=lambda x: x[0] + " " + x[1]) for k in keys: item = LineItem() item.task = k[0] initials = k[1] item.desc = db.initials_to_name(data, initials) item.qty = times2[k] item.price = price = data["charges"][(job_code, item.task, initials)] times.append(item) if len(exps) + len(times) > 0: invoice = create_job_statement(job, data["tasks"], exps, times) data["auto_invoices"][job_code] = invoice
def create_timesheets(d): title = 'Timesheet: ' + period.mmmmyyyy() outdir = period.perioddir() + '\\timesheets' for jobKey, job_items in aggregate(d['timeItems'], common.mkKeyFunc('JobCode')): #pdb.set_trace() CreateJobsheet(jobKey, job_items, d, title, outdir)
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"