Files
temporal-ai-agent/tools/hr/future_pto_calc.py
Steve Androulakis eb06cf5c8d Enhance Dev Experience and Code Quality (#41)
* Format codebase to satisfy linters

* fixing pylance and ruff-checked files

* contributing md, and type and formatting fixes

* setup file capitalization

* test fix
2025-06-01 08:54:59 -07:00

79 lines
2.8 KiB
Python

import json
from datetime import date, datetime
from pathlib import Path
import pandas
from dateutil.relativedelta import relativedelta
def future_pto_calc(args: dict) -> dict:
file_path = (
Path(__file__).resolve().parent.parent / "data" / "employee_pto_data.json"
)
if not file_path.exists():
return {"error": "Data file not found."}
start_date = datetime.strptime(args.get("start_date"), "%Y-%m-%d").date()
end_date = datetime.strptime(args.get("end_date"), "%Y-%m-%d").date()
email = args.get("email")
# Next, set up the ability to calculate how much PTO will be added to the user's total by the start of the PTO request
today = date.today()
if today > start_date:
return_msg = (
"PTO start date " + args.get("start_date") + "cannot be in the past"
)
return {"error": return_msg}
if end_date < start_date:
return_msg = (
"PTO end date "
+ args.get("end_date")
+ " must be after PTO start date "
+ args.get("start_date")
)
return {"error": return_msg}
# Get the number of business days, and then business hours (assume 8 hr biz day), included in the PTO request
biz_days_of_request = len(
pandas.bdate_range(start=start_date, end=end_date, inclusive="both")
)
if biz_days_of_request == 0:
return_msg = (
"There are no business days between "
+ args.get("start_date")
+ " and "
+ args.get("end_date")
)
return {"error": return_msg}
biz_hours_of_request = biz_days_of_request * 8
# Assume PTO is added on the first of every month - month math compares rolling dates, so compare the PTO request with the first day of the current month.
today_first_of_month = date(today.year, today.month, 1)
time_difference = relativedelta(start_date, today_first_of_month)
months_to_accrue = time_difference.years * 12 + time_difference.months
data = json.load(open(file_path))
employee_list = data["theCompany"]["employees"]
enough_pto = False
for employee in employee_list:
if employee["email"] == email:
current_pto_hours = int(employee["currentPTOHrs"])
hrs_added_per_month = int(employee["hrsAddedPerMonth"])
pto_available_at_start = current_pto_hours + (
months_to_accrue * hrs_added_per_month
)
pto_hrs_remaining_after = pto_available_at_start - biz_hours_of_request
if pto_hrs_remaining_after >= 0:
enough_pto = True
return {
"enough_pto": enough_pto,
"pto_hrs_remaining_after": str(pto_hrs_remaining_after),
}
return_msg = "Employee not found with email address " + email
return {"error": return_msg}