Monitor staff task completion, track deadlines, and identify bottlenecks.
import pandas as pd
from datetime import datetime
def task_health():
tasks = pd.read_sql("SELECT * FROM tasks WHERE status != 'Completed'")
now = datetime.now()
for _, task in tasks.iterrows():
days_left = (task['deadline'] - now).days
if days_left < 0: task['health'] = 'Overdue'
elif days_left < 3: task['health'] = 'At Risk'
elif days_left < 7: task['health'] = 'Warning'
else: task['health'] = 'On Track'
return tasksBasic Package
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