def ajax_productivity_per_task_and_date(request, username):
"""
# url = employee/ajax_productivity_per_task/<username>
# Devuelve un objeto con las fechas y las productividades de la tarea real y esperada
#{'name': ..., 'total_productivity': X,'expected_productivity':Y} (X en unidades goal_description/hora)
# Parámetro obligatorio:
# task_id: el id de la tarea en cuestión
# Parámetros opcionales:
# start_date - fecha en formato YYYY-MM-DD que indica el inicio de la medición. Por defecto, 30 días antes de la fecha actual.
# end_date - fecha en formato YYYY-MM-DD que indica el final de la medición. Por defecto, fecha actual.
# offset - desplazamiento (huso) horario en formato +/-HH:MM - Por defecto +00:00
# Si se proporcionan pero no tienen el formato correcto se lanzará un error HTTP 400 Bad Request
#Ejemplo
#/employee/ajax_productivity_per_task_and_date/JoseGavilan?task_id=3&start_date=2017-02-05&end_date=2017-02-16
#devuelve lo siguiente
#{"dates":
# ["2017-02-05", "2017-02-06", "2017-02-07", "2017-02-08", "2017-02-09", "2017-02-10", "2017-02-11", "2017-02-12", "2017-02-13", "2017-02-14", "2017-02-15", "2017-02-16"],
#"task": {"name": "Hacer cosas de front",
# "real_productivity": [0, 0, 0, 0, 0, 0, 0, 1.2, 0, 0.225, 0, 0],
# "task_id": 3,
# "expected_productivity": [9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 4.0, 4.0, 2.0, 2.0, 2.0]}}
"""
# Get and parse the dates
start_date = request.GET.get("start_date",
str(date.today() - timedelta(days=30)))
end_date = request.GET.get("end_date", str(date.today()))
date_regex = re.compile("^\d{4}-\d{2}-\d{2}$")
if date_regex.match(start_date) is None or date_regex.match(
end_date) is None:
raise SuspiciousOperation("Start/end date are not valid")
offset = request.GET.get("offset", "+00:00")
offset_regex = re.compile("^(\+|-)\d{2}:\d{2}$")
if offset_regex.match(offset) is None:
raise SuspiciousOperation("Time offset is not valid")
# Append time offsets
start_date += " 00:00" + offset
end_date += " 00:00" + offset
# Check that the user is logged in and it's an administrator or with permissions
logged = get_authorized_or_403(request)
# Check that it's at least PM
if get_highest_role_tier(logged) < 40:
raise PermissionDenied
employee = get_object_or_404(Employee,
user__username=username,
user__is_active=True)
# Check that the admin has permission to view that employee
same_company_or_403(logged, employee)
task_id = request.GET.get("task_id")
# Find task with id requested
task = Task.objects.filter(
pk=task_id,
active=True,
projectDepartment_id__projectdepartmentemployeerole__employee_id=
employee,
production_goal__isnull=False).distinct().first()
if task is None:
raise SuspiciousOperation("The task could not be found")
# Get all dates between start and end
dates = []
str_dates = []
d1 = datetime.strptime(start_date[0:19] + start_date[20:22],
'%Y-%m-%d %H:%M%z')
d2 = datetime.strptime(end_date[0:19] + end_date[20:22],
'%Y-%m-%d %H:%M%z')
delta = d2 - d1 # timedelta
for i in range(delta.days + 1):
str_dates.append((d1 + timedelta(days=i)).date().strftime("%Y-%m-%d"))
dates.append(d1 + timedelta(days=i))
data = {
'dates': str_dates,
'task': {
'task_id': task.id,
'name': task.name,
'real_productivity': [],
'expected_productivity': []
}
}
# Save productivity for each date
# for each date, we will find the asociated timelog
for log_date in dates:
log = TimeLog.objects.filter(task_id=task.id,
workDate__year=log_date.year,
workDate__month=log_date.month,
workDate__day=log_date.day,
employee_id=employee).first()
if log is None:
# He did not work that day
total_productivity = 0
total_duration = 0
else:
total_produced_units = log.produced_units
total_duration = log.duration
if total_duration == 0:
total_productivity = 0
else:
# Duration is in minutes, so we multiply by 60 (duration is in the denominator)
total_productivity = 60 * total_produced_units / total_duration
# Find the registry date of production goal evolution which is closest to the date
expected_productivity = GoalEvolution.objects.filter(
task_id_id=task.id, registryDate__gte=log_date).first()
# If we do not find the goal or if the date is after the last task update, it may be the current task goal
if total_duration == 0:
expected_productivity = 0
else:
if expected_productivity is None or task.registryDate <= log_date:
expected_productivity = task.production_goal
else:
expected_productivity = expected_productivity.production_goal
data["task"]["real_productivity"].append(
default_round(total_productivity))
data["task"]["expected_productivity"].append(
default_round(expected_productivity))
return JsonResponse(data)
def ajax_profit_per_date_in_project(request, employee_id, project_id):
"""
# url = department/ajax_profit_per_date/<department_id>
# Devuelve un objeto con las fechas y las rentabilidades diarias y acumuladas
#
# Parámetro obligatorio:
ninguno
# Parámetros opcionales:
# start_date - fecha en formato YYYY-MM-DD que indica el inicio de la medición. Por defecto, 30 días antes de la fecha actual.
# end_date - fecha en formato YYYY-MM-DD que indica el final de la medición. Por defecto, fecha actual.
# offset - desplazamiento (huso) horario en formato +/-HH:MM - Por defecto +00:00
# Si se proporcionan pero no tienen el formato correcto se lanzará un error HTTP 400 Bad Request
#Ejemplo
#/department/ajaxAcumProfit/1/
#devuelve lo siguiente
#{"acumExpenses": [0, 1457.18015695298, 3071.32603956358, 4438.9463044226895, 6465.819587171869, 7912.658013249849, 9791.46399488711, 11615.32872003681, 13494.726436052111, 15102.72092592163, 16718.442225021892, 18327.93613617256, 20841.87940297534, 22953.949544558982, 24314.625169466122, 25683.231076691303, 27287.16055422502, 28760.84364198999, 31104.25163724206, 32808.89759982555, 34747.27999087272, 36150.9847742294, 37523.6098087571, 38600.05927001698, 40953.76583717958, 42469.88703139726, 44081.49130458021, 45420.3135021882, 47945.57927018715, 49368.262834629466, 51133.932803674485],
"acumIncome": [0, 155861.848663544, 262457.90948135697, 396454.85575838294, 572637.4741922909, 703418.0032829699, 889130.2419483919, 1057821.248373874, 1259349.275922576, 1393310.956579081, 1539441.608896949, 1700420.3827038072, 1955067.034572835, 2187486.6539142523, 2300530.309442004, 2429378.038836404, 2615789.2939997134, 2742614.2371285204, 3004214.3219032744, 3205025.4834073624, 3363963.7766520614, 3552325.908039063, 3718850.184141958, 3833661.86021891, 4044009.6991582112, 4159278.365569177, 4285423.634163346, 4417334.086840815, 4692230.750316469, 4819759.243153938, 4997733.5628708275],
"dates": ["2017-03-21", "2017-03-22", "2017-03-23", "2017-03-24", "2017-03-25", "2017-03-26", "2017-03-27", "2017-03-28", "2017-03-29", "2017-03-30", "2017-03-31", "2017-04-01", "2017-04-02", "2017-04-03", "2017-04-04", "2017-04-05", "2017-04-06", "2017-04-07", "2017-04-08", "2017-04-09", "2017-04-10", "2017-04-11", "2017-04-12", "2017-04-13", "2017-04-14", "2017-04-15", "2017-04-16", "2017-04-17", "2017-04-18", "2017-04-19", "2017-04-20"],
"income": [0, 155861.848663544, 106596.060817813, 133996.946277026, 176182.618433908, 130780.529090679, 185712.238665422, 168691.006425482, 201528.027548702, 133961.680656505, 146130.652317868, 160978.773806858, 254646.651869028, 232419.619341417, 113043.655527752, 128847.7293944, 186411.255163309, 126824.943128807, 261600.084774754, 200811.161504088, 158938.293244699, 188362.131387002, 166524.276102895, 114811.676076952, 210347.838939301, 115268.666410966, 126145.268594169, 131910.452677469, 274896.663475654, 127528.492837469, 177974.319716889],
"expenses": [0, 1457.18015695298, 1614.1458826106, 1367.62026485911, 2026.87328274918, 1446.83842607798, 1878.80598163726, 1823.8647251497, 1879.3977160153, 1607.99448986952, 1615.72129910026, 1609.49391115067, 2513.94326680278, 2112.07014158364, 1360.67562490714, 1368.60590722518, 1603.92947753372, 1473.68308776497, 2343.40799525207, 1704.64596258349, 1938.38239104717, 1403.70478335668, 1372.6250345277, 1076.44946125988, 2353.7065671626, 1516.12119421768, 1611.60427318295, 1338.82219760799, 2525.26576799895, 1422.68356444232, 1765.66996904502]} "expected_productivity": [9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 4.0, 4.0, 2.0, 2.0, 2.0]}}
"""
# Check that it's at least PM
if get_highest_role_tier(request.user.actor) < 40:
raise PermissionDenied
# Get and parse the dates
start_date = request.GET.get("start_date",
str(date.today() - timedelta(days=30)))
end_date = request.GET.get("end_date", str(date.today()))
date_regex = re.compile("^\d{4}-\d{2}-\d{2}$")
if date_regex.match(start_date) is None or date_regex.match(
end_date) is None:
raise SuspiciousOperation("Start/end date are not valid")
offset = request.GET.get("offset", "+00:00")
offset_regex = re.compile("^(\+|-)\d{2}:\d{2}$")
if offset_regex.match(offset) is None:
raise SuspiciousOperation("Time offset is not valid")
# Append time offsets
start_date += " 00:00" + offset
end_date += " 00:00" + offset
check_metrics_authorized_for_employee_in_project(request.user, employee_id,
project_id)
# Get all dates between start and end
dates = []
str_dates = []
d1 = datetime.strptime(start_date[0:19] + start_date[20:22],
'%Y-%m-%d %H:%M%z')
d2 = datetime.strptime(end_date[0:19] + end_date[20:22],
'%Y-%m-%d %H:%M%z')
delta = d2 - d1 # timedelta
for i in range(delta.days + 1):
str_dates.append((d1 + timedelta(days=i)).date().strftime("%Y-%m-%d"))
dates.append(d1 + timedelta(days=i))
data = {
'dates': str_dates,
'expenses': [],
'income': [],
'acumExpenses': [],
'acumIncome': []
}
# Profit
# for each date, we will find all logs, calculate the sum and acumulate it
index = 0
for log_date in dates:
logs = TimeLog.objects.filter(
employee_id=employee_id,
employee_id__projectdepartmentemployeerole__projectDepartment_id__project_id
=project_id,
workDate__year=log_date.year,
workDate__month=log_date.month,
workDate__day=log_date.day).distinct()
expenses = logs.aggregate(
total_expenses=Sum(F("duration") / 60.0 *
F("employee_id__price_per_hour"),
output_field=FloatField()))["total_expenses"]
expenses = expenses if expenses is not None else 0
income = logs.aggregate(total_income=Sum(
F("task_id__price_per_unit") *
F("produced_units")))["total_income"]
income = income if income is not None else 0
data['expenses'].append(default_round(expenses))
data['income'].append(default_round(income))
if index == 0:
data['acumExpenses'].append(default_round(expenses))
data['acumIncome'].append(default_round(income))
else:
data['acumExpenses'].append(data['acumExpenses'][index - 1] +
expenses)
data['acumIncome'].append(data['acumIncome'][index - 1] + income)
index += 1
return JsonResponse(data)
def ajax_productivity_per_task(request):
"""
# Devuelve un objeto {'names': [dpto1, dpto2...], 'values': [tiempo1, tiempo2...]}
# Parámetros obligatorios:
# task_id - ID del task
# Parámetros opcionales:
# start_date - fecha en formato YYYY-MM-DD que indica el inicio de la medición. Por defecto, 30 días antes de la fecha actual.
# end_date - fecha en formato YYYY-MM-DD que indica el final de la medición. Por defecto, fecha actual.
# offset - desplazamiento (huso) horario en formato +/-HH:MM - Por defecto +00:00
# Si se proporcionan pero no tienen el formato correcto se lanzará un error HTTP 400 Bad Request
"""
# ------------------------- Cortesía de Agu ------------------------------
actor=get_actor_or_403(request)
if "task_id" not in request.GET:
raise SuspiciousOperation
task_id = request.GET["task_id"]
task=get_object_or_404(Task, pk=task_id)
actor=check_task(request,task,for_view=True)
same_company_or_403(actor,task.actor_id)
# Get and parse the dates and the offset
start_date = request.GET.get("start_date", str(date.today() - timedelta(days=30)))
end_date = request.GET.get("end_date", str(date.today()))
date_regex = re.compile("^\d{4}-\d{2}-\d{2}$")
if date_regex.match(start_date) is None or date_regex.match(end_date) is None:
raise SuspiciousOperation("Start/end date are not valid")
offset = request.GET.get("offset", "+00:00")
offset_regex = re.compile("^(\+|-)\d{2}:\d{2}$")
if offset_regex.match(offset) is None:
raise SuspiciousOperation("Time offset is not valid")
# Append time offsets
start_date += " 00:00" + offset
end_date += " 00:00" + offset
# --------------------------------------------------------------------------
dates = []
str_dates = []
d1 = datetime.strptime(start_date[0:19] + start_date[20:22], '%Y-%m-%d %H:%M%z')
d2 = datetime.strptime(end_date[0:19] + end_date[20:22], '%Y-%m-%d %H:%M%z')
delta = d2 - d1 # timedelta
for i in range(delta.days + 1):
str_dates.append((d1 + timedelta(days=i)).date().strftime("%Y-%m-%d"))
dates.append(d1 + timedelta(days=i))
data = {"days": str_dates, "production": [], "goal_evolution": []}
index = 0
# Save productivity for each date
# for each date, we will find the asociated timelog
for log_date in dates:
log = TimeLog.objects.filter(task_id=task_id, workDate__year=log_date.year, workDate__month=log_date.month,
workDate__day=log_date.day).aggregate(
total_duration=Sum( F("duration")/60.0, output_field=FloatField()),
total_produced_units=Sum( F("produced_units"), output_field=FloatField()))
if log is None:
# Not work that day
total_productivity = 0
total_duration = 0
else:
total_produced_units = log["total_produced_units"]
total_duration = log["total_duration"]
if total_duration == 0 or total_duration is None:
total_productivity = 0
else:
# If not produced but spent time, 0 productivity (you lazy guy...)
if total_produced_units is None:
total_productivity = 0
else:
total_productivity = total_produced_units/total_duration
# Find the registry date of production goal evolution which is closest to the date
expected_productivity = GoalEvolution.objects.filter(task_id_id=task_id,
registryDate__gte=log_date).first()
# If we do not find the goal or if the date is after the last task update, it may be the current task goal
if total_duration==0 or total_duration is None:
expected_productivity=0
else:
if expected_productivity is None or task.registryDate <= log_date:
expected_productivity = task.production_goal
else:
expected_productivity = expected_productivity.production_goal
data["production"].append(default_round(total_productivity))
data["goal_evolution"].append(default_round(expected_productivity))
return JsonResponse(data)