Simple SLA Calculator
Project description
Simple SLA Calculator
A very simple and rudimentary SLA timeframe calculator.
Installation
pip install SimpleSLACalc
Usage
To calculate an SLA you need to provide a minimum set of parameters.
- start_time (datetime | pendulum.DateTime | str): Start of sla time calculation(IE: "2023-10-01") or a datetime object
- open_hour (int): Start of business hour(24h format)
- open_minute (int): Start of business minute
- close_hour (int): End of business hour(24h format)
- close_minute (int): End of business minute
- time_zone (str): Timezone in which to process calculation
- sla_hours (Optional[int], optional): Provide hours to calculate SLA in hours. Defaults to None.
- sla_days (Optional[int], optional): Provide days to calculate SLA in days. Defaults to None.
- sla_weeks (Optional[int], optional): Provide weeks to calculate SLA in weeks. Defaults to None.
NOTE: Only provide one sla_hours, sla_days, or sla_weeks. Do not combine
Additionally you can provide a number of optional parameters to fine tune your SLA calculations. Most notable here is skip_business_hours. By default business hours are ignored. It will return only the raw SLA calculation including weekends, and holidays. To only calculate business hours SLA's, set to False.
- skip_business_hours (Optional[bool]): When True, skips business hours, and just calculates raw SLA. Defaults to True.
- excluded_dates (Optional[list[str]], optional): Provide a list of dates in string format(IE: ["2023-10-1", 2023-10-02"]). Defaults to None.
- holiday_country (Optional[str], optional): Two character country code for holiday parsing. Required for holiday date SLA exclusion. Defaults to None.
- holiday_state (Optional[str], optional): Optional two character state for holiday date SLA exclusion. Defaults to None.
- holiday_province (Optional[str], optional): Optional two character province for holiday date SLA exclusion. Defaults to None.
from SimpleSLACalc import SLACalculator
my_sla_cal = SLACalculator()
sla_values = my_sla_cal.calculate(
start_time="2023-10-18 01:27",
open_hour=9,
open_minute=0
close_hour=17,
close_minute=0,
sla_hours=6,
time_zone="America/Chicago",
skip_business_hours=False
)
print(sla_values.sla_expiration_time)
The output of the above code snippet looks as follows.
❯ python tests/test.py
2023-10-18 15:00:00-05:00
The output object is a class object named SLAItem with a range of values available for use. It appears like this in code.
@dataclass(frozen=True, order=False)
class SLAItem:
"""Class based SLA results item for user return
Returns:
cls: Class Object populated with SLA results calculations
"""
start_time: pendulum.DateTime
open_time: pendulum.DateTime | None
close_time: pendulum.DateTime | None
sla_expiration_time: pendulum.DateTime
def sla_exp_hour(self) -> int:
return self.sla_expiration_time.hour
def sla_exp_min(self) -> int:
return self.sla_expiration_time.minute
def sla_exp_day(self) -> int:
return self.sla_expiration_time.day
def sla_exp_date(self) -> pendulum.Date:
return self.sla_expiration_time.date()
def __repr__(self) -> str:
return str(self.sla_expiration_time)
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