Python 日期时间计算
Python Datetime calculation
我想用 python 创建一个函数，这是计算，如果轮班的结束时间在 20:00 之后和 06:00 之间，它必须为我创建一个20:00 后每过一小时额外增加 25%（分钟）。
有什么建议吗？
更新：
我认为您的问题是这样的：
from datetime import datetime, timedelta
def getHours(startTime, endTime, extraFraction):
if endTime < startTime:
raise ValueError(f'endTime {endTime} is before startTime {startTime}')
startDateStr = startTime.strftime("%Y-%m-%d")
bonusStartTime = datetime.strptime(startDateStr + " " + "20:00:00", "%Y-%m-%d %H:%M:%S")
prevBonusEndTime = datetime.strptime(startTime.strftime("%Y-%m-%d") + " " + "06:00:00", "%Y-%m-%d %H:%M:%S")
bonusEndTime = prevBonusEndTime + timedelta(days=1)
bonusPeriod = timedelta(days=0)
duration = endTime - startTime
hours = duration.total_seconds() // 3600
if hours > 24:
fullDays = hours // 24
bonusPeriod += fullDays * (bonusEndTime - bonusStartTime)
endTime -= timedelta(days=fullDays)
if startTime < prevBonusEndTime:
bonusPeriod += prevBonusEndTime - startTime
if endTime < prevBonusEndTime:
bonusPeriod -= prevBonusEndTime - endTime
if startTime > bonusStartTime:
bonusPeriod -= startTime - bonusStartTime
if endTime > bonusStartTime:
bonusPeriod += min(endTime, bonusEndTime) - bonusStartTime
delta = duration + bonusPeriod * extraFraction
return delta
解释：
- 确认开始时间早于结束时间，否则抛出异常
- 设置以下内容：
- prevBonusStartTime 为 20:00 在开始时间
前一天
- bonusStartTime 为 20:00 在 startTime
当天
- bonusEndTime 为 06:00 在 startTime
之后的一天
- 如果 endTime 比 startTime 晚了 24 小时以上，将其记录在
duration 和 bonusPeriod 中，然后将 endTime 倒回超过 startTime 的完整天数（24 小时周期）
- 在 bonusPeriod 上加上或减去
startTime, endTime 和间隔 00:00, prevBonusEndTime and/or bonusStartTime, bonusEndTime 之间重叠的小时数（除了上面计算的任何小时数）。
测试代码：
def testing(start, end):
print(f'start {start}, end {end}, actual hours {getHours(start, end, 0)}, effective hours {getHours(start, end, 0.25)}')
startTime = datetime.strptime("2022-05-26 06:00:00", "%Y-%m-%d %H:%M:%S")
endTime = startTime
for h in range(0, 48, 3):
testing(startTime, endTime + timedelta(hours=h))
endTime += timedelta(hours=48)
for h in range(0, 48, 3):
testing(startTime + timedelta(hours=h), endTime)
输出：
start 2022-05-26 06:00:00, end 2022-05-26 06:00:00, actual hours 0:00:00, effective hours 0:00:00
start 2022-05-26 06:00:00, end 2022-05-26 09:00:00, actual hours 3:00:00, effective hours 3:00:00
start 2022-05-26 06:00:00, end 2022-05-26 12:00:00, actual hours 6:00:00, effective hours 6:00:00
start 2022-05-26 06:00:00, end 2022-05-26 15:00:00, actual hours 9:00:00, effective hours 9:00:00
start 2022-05-26 06:00:00, end 2022-05-26 18:00:00, actual hours 12:00:00, effective hours 12:00:00
start 2022-05-26 06:00:00, end 2022-05-26 21:00:00, actual hours 15:00:00, effective hours 15:15:00
start 2022-05-26 06:00:00, end 2022-05-27 00:00:00, actual hours 18:00:00, effective hours 19:00:00
start 2022-05-26 06:00:00, end 2022-05-27 03:00:00, actual hours 21:00:00, effective hours 22:45:00
start 2022-05-26 06:00:00, end 2022-05-27 06:00:00, actual hours 1 day, 0:00:00, effective hours 1 day, 2:30:00
start 2022-05-26 06:00:00, end 2022-05-27 09:00:00, actual hours 1 day, 3:00:00, effective hours 1 day, 5:30:00
start 2022-05-26 06:00:00, end 2022-05-27 12:00:00, actual hours 1 day, 6:00:00, effective hours 1 day, 8:30:00
start 2022-05-26 06:00:00, end 2022-05-27 15:00:00, actual hours 1 day, 9:00:00, effective hours 1 day, 11:30:00
start 2022-05-26 06:00:00, end 2022-05-27 18:00:00, actual hours 1 day, 12:00:00, effective hours 1 day, 14:30:00
start 2022-05-26 06:00:00, end 2022-05-27 21:00:00, actual hours 1 day, 15:00:00, effective hours 1 day, 17:45:00
start 2022-05-26 06:00:00, end 2022-05-28 00:00:00, actual hours 1 day, 18:00:00, effective hours 1 day, 21:30:00
start 2022-05-26 06:00:00, end 2022-05-28 03:00:00, actual hours 1 day, 21:00:00, effective hours 2 days, 1:15:00
start 2022-05-26 06:00:00, end 2022-05-28 06:00:00, actual hours 2 days, 0:00:00, effective hours 2 days, 5:00:00
start 2022-05-26 09:00:00, end 2022-05-28 06:00:00, actual hours 1 day, 21:00:00, effective hours 2 days, 2:00:00
start 2022-05-26 12:00:00, end 2022-05-28 06:00:00, actual hours 1 day, 18:00:00, effective hours 1 day, 23:00:00
start 2022-05-26 15:00:00, end 2022-05-28 06:00:00, actual hours 1 day, 15:00:00, effective hours 1 day, 20:00:00
start 2022-05-26 18:00:00, end 2022-05-28 06:00:00, actual hours 1 day, 12:00:00, effective hours 1 day, 17:00:00
start 2022-05-26 21:00:00, end 2022-05-28 06:00:00, actual hours 1 day, 9:00:00, effective hours 1 day, 13:45:00
start 2022-05-27 00:00:00, end 2022-05-28 06:00:00, actual hours 1 day, 6:00:00, effective hours 1 day, 10:00:00
start 2022-05-27 03:00:00, end 2022-05-28 06:00:00, actual hours 1 day, 3:00:00, effective hours 1 day, 6:15:00
start 2022-05-27 06:00:00, end 2022-05-28 06:00:00, actual hours 1 day, 0:00:00, effective hours 1 day, 2:30:00
start 2022-05-27 09:00:00, end 2022-05-28 06:00:00, actual hours 21:00:00, effective hours 23:30:00
start 2022-05-27 12:00:00, end 2022-05-28 06:00:00, actual hours 18:00:00, effective hours 20:30:00
start 2022-05-27 15:00:00, end 2022-05-28 06:00:00, actual hours 15:00:00, effective hours 17:30:00
start 2022-05-27 18:00:00, end 2022-05-28 06:00:00, actual hours 12:00:00, effective hours 14:30:00
start 2022-05-27 21:00:00, end 2022-05-28 06:00:00, actual hours 9:00:00, effective hours 11:15:00
start 2022-05-28 00:00:00, end 2022-05-28 06:00:00, actual hours 6:00:00, effective hours 7:30:00
start 2022-05-28 03:00:00, end 2022-05-28 06:00:00, actual hours 3:00:00, effective hours 3:45:00
更新 #2:
这里是稍微修改过的代码，它输出正常小时数、奖金小时数（即奖金小时数 window 从 20:00 到 06:00）和额外小时数（25% * 奖金小时）：
from datetime import datetime, timedelta
def getRegularAndBonusHours(startTime, endTime):
if endTime < startTime:
raise ValueError(f'endTime {endTime} is before startTime {startTime}')
startDateStr = startTime.strftime("%Y-%m-%d")
bonusStartTime = datetime.strptime(startDateStr + " " + "20:00:00", "%Y-%m-%d %H:%M:%S")
prevBonusEndTime = datetime.strptime(startTime.strftime("%Y-%m-%d") + " " + "06:00:00", "%Y-%m-%d %H:%M:%S")
bonusEndTime = prevBonusEndTime + timedelta(days=1)
bonusPeriod = timedelta(days=0)
duration = endTime - startTime
hours = duration.total_seconds() // 3600
if hours > 24:
fullDays = hours // 24
bonusPeriod += fullDays * (bonusEndTime - bonusStartTime)
endTime -= timedelta(days=fullDays)
if startTime < prevBonusEndTime:
bonusPeriod += prevBonusEndTime - startTime
if endTime < prevBonusEndTime:
bonusPeriod -= prevBonusEndTime - endTime
if startTime > bonusStartTime:
bonusPeriod -= startTime - bonusStartTime
if endTime > bonusStartTime:
bonusPeriod += min(endTime, bonusEndTime) - bonusStartTime
return duration, bonusPeriod
def getHours(startTime, endTime, extraFraction):
duration, bonusPeriod = getRegularAndBonusHours(startTime, endTime)
delta = duration + bonusPeriod * extraFraction
return delta
def testing(start, end):
duration, bonusPeriod = getRegularAndBonusHours(start, end)
def getHoursRoundedUp(delta):
return delta.days * 24 + delta.seconds // 3600 + (1 if delta.seconds % 3600 else 0)
regularHours, bonusHours = getHoursRoundedUp(duration), getHoursRoundedUp(bonusPeriod)
print(f'start {start}, end {end}, regular {regularHours}, bonus {bonusHours}, extra {0.25 * bonusHours}')
startTime = datetime.strptime("2022-05-26 06:00:00", "%Y-%m-%d %H:%M:%S")
endTime = startTime
for h in range(0, 48, 3):
testing(startTime, endTime + timedelta(hours=h))
endTime += timedelta(hours=48)
for h in range(0, 48, 3):
testing(startTime + timedelta(hours=h), endTime)
输出：
start 2022-05-26 06:00:00, end 2022-05-26 06:00:00, regular 0, bonus 0, extra 0.0
start 2022-05-26 06:00:00, end 2022-05-26 09:00:00, regular 3, bonus 0, extra 0.0
start 2022-05-26 06:00:00, end 2022-05-26 12:00:00, regular 6, bonus 0, extra 0.0
start 2022-05-26 06:00:00, end 2022-05-26 15:00:00, regular 9, bonus 0, extra 0.0
start 2022-05-26 06:00:00, end 2022-05-26 18:00:00, regular 12, bonus 0, extra 0.0
start 2022-05-26 06:00:00, end 2022-05-26 21:00:00, regular 15, bonus 1, extra 0.25
start 2022-05-26 06:00:00, end 2022-05-27 00:00:00, regular 18, bonus 4, extra 1.0
start 2022-05-26 06:00:00, end 2022-05-27 03:00:00, regular 21, bonus 7, extra 1.75
start 2022-05-26 06:00:00, end 2022-05-27 06:00:00, regular 24, bonus 10, extra 2.5
start 2022-05-26 06:00:00, end 2022-05-27 09:00:00, regular 27, bonus 10, extra 2.5
start 2022-05-26 06:00:00, end 2022-05-27 12:00:00, regular 30, bonus 10, extra 2.5
start 2022-05-26 06:00:00, end 2022-05-27 15:00:00, regular 33, bonus 10, extra 2.5
start 2022-05-26 06:00:00, end 2022-05-27 18:00:00, regular 36, bonus 10, extra 2.5
start 2022-05-26 06:00:00, end 2022-05-27 21:00:00, regular 39, bonus 11, extra 2.75
start 2022-05-26 06:00:00, end 2022-05-28 00:00:00, regular 42, bonus 14, extra 3.5
start 2022-05-26 06:00:00, end 2022-05-28 03:00:00, regular 45, bonus 17, extra 4.25
start 2022-05-26 06:00:00, end 2022-05-28 06:00:00, regular 48, bonus 20, extra 5.0
start 2022-05-26 09:00:00, end 2022-05-28 06:00:00, regular 45, bonus 20, extra 5.0
start 2022-05-26 12:00:00, end 2022-05-28 06:00:00, regular 42, bonus 20, extra 5.0
start 2022-05-26 15:00:00, end 2022-05-28 06:00:00, regular 39, bonus 20, extra 5.0
start 2022-05-26 18:00:00, end 2022-05-28 06:00:00, regular 36, bonus 20, extra 5.0
start 2022-05-26 21:00:00, end 2022-05-28 06:00:00, regular 33, bonus 19, extra 4.75
start 2022-05-27 00:00:00, end 2022-05-28 06:00:00, regular 30, bonus 16, extra 4.0
start 2022-05-27 03:00:00, end 2022-05-28 06:00:00, regular 27, bonus 13, extra 3.25
start 2022-05-27 06:00:00, end 2022-05-28 06:00:00, regular 24, bonus 10, extra 2.5
start 2022-05-27 09:00:00, end 2022-05-28 06:00:00, regular 21, bonus 10, extra 2.5
start 2022-05-27 12:00:00, end 2022-05-28 06:00:00, regular 18, bonus 10, extra 2.5
start 2022-05-27 15:00:00, end 2022-05-28 06:00:00, regular 15, bonus 10, extra 2.5
start 2022-05-27 18:00:00, end 2022-05-28 06:00:00, regular 12, bonus 10, extra 2.5
start 2022-05-27 21:00:00, end 2022-05-28 06:00:00, regular 9, bonus 9, extra 2.25
start 2022-05-28 00:00:00, end 2022-05-28 06:00:00, regular 6, bonus 6, extra 1.5
start 2022-05-28 03:00:00, end 2022-05-28 06:00:00, regular 3, bonus 3, extra 0.75
更新#3
OP 在评论中的最新说明表明：
- 需要在 excel 更新夜间工作时收到的津贴
- excelsheet中的目标是分别输入开始时间、结束时间、工作时间（无补）、夜班补（25%从20:00到06:) 夜间工作开始的每个小时。
这里更新了代码以创建所需的数据结果，并可选择使用 pandas 数据框将其放入 Excel 文件中。测试输入用于探索开始和结束时间的范围，包括部分时间：
from datetime import datetime, timedelta
def getRegularAndBonusHours(startTime, endTime):
if endTime < startTime:
raise ValueError(f'endTime {endTime} is before startTime {startTime}')
startDateStr = startTime.strftime("%Y-%m-%d")
bonusStartTime = datetime.strptime(startDateStr + " " + "20:00:00", "%Y-%m-%d %H:%M:%S")
prevBonusEndTime = datetime.strptime(startTime.strftime("%Y-%m-%d") + " " + "06:00:00", "%Y-%m-%d %H:%M:%S")
bonusEndTime = prevBonusEndTime + timedelta(days=1)
bonusPeriod = timedelta(days=0)
duration = endTime - startTime
hours = duration.total_seconds() // 3600
if hours > 24:
fullDays = hours // 24
bonusPeriod += fullDays * (bonusEndTime - bonusStartTime)
endTime -= timedelta(days=fullDays)
if startTime < prevBonusEndTime:
bonusPeriod += prevBonusEndTime - startTime
if endTime < prevBonusEndTime:
bonusPeriod -= prevBonusEndTime - endTime
if startTime > bonusStartTime:
bonusPeriod -= startTime - bonusStartTime
if endTime > bonusStartTime:
bonusPeriod += min(endTime, bonusEndTime) - bonusStartTime
return duration, bonusPeriod
def testing(start, end):
duration, bonusPeriod = getRegularAndBonusHours(start, end)
def getHoursFromDelta(delta, roundUp=False):
return delta.days * 24 + (delta.seconds // 3600 + (1 if delta.seconds % 3600 else 0)) if roundUp else (delta.seconds / 3600)
fullHours, bonusHours = getHoursFromDelta(duration + bonusPeriod), getHoursFromDelta(bonusPeriod, True)
return start, end, fullHours, bonusHours * 0.25
# calculate test results
results = []
startTime = datetime.strptime("2022-05-26 06:00:00", "%Y-%m-%d %H:%M:%S")
endTime = startTime
for halfHours in range(0, 2 * 48, 5):
results.append(testing(startTime, endTime + timedelta(hours=halfHours / 2)))
endTime += timedelta(hours=48)
for halfHours in range(0, 2 * 48, 5):
results.append(testing(startTime + timedelta(hours=halfHours / 2), endTime))
# print results
headings = ['Start Time', 'End Time', 'Working Hours', '25% of Supplemental Hours Started']
[print(f'{x:30}', end='') for x in headings]
[[print(f'{f"{x}":30}', end='') for x in row] for row in results if print() or True]
print()
# OPTIONAL: save results in pandas dataframe and save as Excel file
import pandas as pd
df = pd.DataFrame(results, columns=headings)
print(df)
with pd.ExcelWriter('TestTimesheet.xlsx') as writer:
df.to_excel(writer, index=None, sheet_name='Timesheet')
ws = writer.sheets['Timesheet']
for column in df:
column_length = max(df[column].astype(str).map(len).max(), len(column))
col_idx = df.columns.get_loc(column)
ws.column_dimensions[chr(ord('A') + col_idx)].width = column_length
输出：
Start Time End Time Working Hours 25% of Supplemental Hours Started
0 2022-05-26 06:00:00 2022-05-26 06:00:00 0.0 0.00
1 2022-05-26 06:00:00 2022-05-26 08:30:00 2.5 0.00
2 2022-05-26 06:00:00 2022-05-26 11:00:00 5.0 0.00
3 2022-05-26 06:00:00 2022-05-26 13:30:00 7.5 0.00
4 2022-05-26 06:00:00 2022-05-26 16:00:00 10.0 0.00
5 2022-05-26 06:00:00 2022-05-26 18:30:00 12.5 0.00
6 2022-05-26 06:00:00 2022-05-26 21:00:00 16.0 0.25
7 2022-05-26 06:00:00 2022-05-26 23:30:00 21.0 1.00
8 2022-05-26 06:00:00 2022-05-27 02:00:00 2.0 1.50
9 2022-05-26 06:00:00 2022-05-27 04:30:00 7.0 2.25
10 2022-05-26 06:00:00 2022-05-27 07:00:00 11.0 2.50
11 2022-05-26 06:00:00 2022-05-27 09:30:00 13.5 2.50
12 2022-05-26 06:00:00 2022-05-27 12:00:00 16.0 2.50
13 2022-05-26 06:00:00 2022-05-27 14:30:00 18.5 2.50
14 2022-05-26 06:00:00 2022-05-27 17:00:00 21.0 2.50
15 2022-05-26 06:00:00 2022-05-27 19:30:00 23.5 2.50
16 2022-05-26 06:00:00 2022-05-27 22:00:00 4.0 3.00
17 2022-05-26 06:00:00 2022-05-28 00:30:00 9.0 3.75
18 2022-05-26 06:00:00 2022-05-28 03:00:00 14.0 4.25
19 2022-05-26 06:00:00 2022-05-28 05:30:00 19.0 5.00
20 2022-05-26 06:00:00 2022-05-28 06:00:00 20.0 5.00
21 2022-05-26 08:30:00 2022-05-28 06:00:00 17.5 5.00
22 2022-05-26 11:00:00 2022-05-28 06:00:00 15.0 5.00
23 2022-05-26 13:30:00 2022-05-28 06:00:00 12.5 5.00
24 2022-05-26 16:00:00 2022-05-28 06:00:00 10.0 5.00
25 2022-05-26 18:30:00 2022-05-28 06:00:00 7.5 5.00
26 2022-05-26 21:00:00 2022-05-28 06:00:00 4.0 4.75
27 2022-05-26 23:30:00 2022-05-28 06:00:00 23.0 4.25
28 2022-05-27 02:00:00 2022-05-28 06:00:00 18.0 3.50
29 2022-05-27 04:30:00 2022-05-28 06:00:00 13.0 3.00
30 2022-05-27 07:00:00 2022-05-28 06:00:00 9.0 2.50
31 2022-05-27 09:30:00 2022-05-28 06:00:00 6.5 2.50
32 2022-05-27 12:00:00 2022-05-28 06:00:00 4.0 2.50
33 2022-05-27 14:30:00 2022-05-28 06:00:00 1.5 2.50
34 2022-05-27 17:00:00 2022-05-28 06:00:00 23.0 2.50
35 2022-05-27 19:30:00 2022-05-28 06:00:00 20.5 2.50
36 2022-05-27 22:00:00 2022-05-28 06:00:00 16.0 2.00
37 2022-05-28 00:30:00 2022-05-28 06:00:00 11.0 1.50
38 2022-05-28 03:00:00 2022-05-28 06:00:00 6.0 0.75
39 2022-05-28 05:30:00 2022-05-28 06:00:00 1.0 0.25
我想用 python 创建一个函数，这是计算，如果轮班的结束时间在 20:00 之后和 06:00 之间，它必须为我创建一个20:00 后每过一小时额外增加 25%（分钟）。 有什么建议吗？
更新：
我认为您的问题是这样的：
from datetime import datetime, timedelta
def getHours(startTime, endTime, extraFraction):
if endTime < startTime:
raise ValueError(f'endTime {endTime} is before startTime {startTime}')
startDateStr = startTime.strftime("%Y-%m-%d")
bonusStartTime = datetime.strptime(startDateStr + " " + "20:00:00", "%Y-%m-%d %H:%M:%S")
prevBonusEndTime = datetime.strptime(startTime.strftime("%Y-%m-%d") + " " + "06:00:00", "%Y-%m-%d %H:%M:%S")
bonusEndTime = prevBonusEndTime + timedelta(days=1)
bonusPeriod = timedelta(days=0)
duration = endTime - startTime
hours = duration.total_seconds() // 3600
if hours > 24:
fullDays = hours // 24
bonusPeriod += fullDays * (bonusEndTime - bonusStartTime)
endTime -= timedelta(days=fullDays)
if startTime < prevBonusEndTime:
bonusPeriod += prevBonusEndTime - startTime
if endTime < prevBonusEndTime:
bonusPeriod -= prevBonusEndTime - endTime
if startTime > bonusStartTime:
bonusPeriod -= startTime - bonusStartTime
if endTime > bonusStartTime:
bonusPeriod += min(endTime, bonusEndTime) - bonusStartTime
delta = duration + bonusPeriod * extraFraction
return delta
解释：
- 确认开始时间早于结束时间，否则抛出异常
- 设置以下内容：
- prevBonusStartTime 为 20:00 在开始时间 前一天
- bonusStartTime 为 20:00 在 startTime 当天
- bonusEndTime 为 06:00 在 startTime 之后的一天
- 如果 endTime 比 startTime 晚了 24 小时以上，将其记录在
duration和bonusPeriod中，然后将 endTime 倒回超过 startTime 的完整天数（24 小时周期） - 在 bonusPeriod 上加上或减去
startTime, endTime和间隔00:00, prevBonusEndTimeand/orbonusStartTime, bonusEndTime之间重叠的小时数（除了上面计算的任何小时数）。
测试代码：
def testing(start, end):
print(f'start {start}, end {end}, actual hours {getHours(start, end, 0)}, effective hours {getHours(start, end, 0.25)}')
startTime = datetime.strptime("2022-05-26 06:00:00", "%Y-%m-%d %H:%M:%S")
endTime = startTime
for h in range(0, 48, 3):
testing(startTime, endTime + timedelta(hours=h))
endTime += timedelta(hours=48)
for h in range(0, 48, 3):
testing(startTime + timedelta(hours=h), endTime)
输出：
start 2022-05-26 06:00:00, end 2022-05-26 06:00:00, actual hours 0:00:00, effective hours 0:00:00
start 2022-05-26 06:00:00, end 2022-05-26 09:00:00, actual hours 3:00:00, effective hours 3:00:00
start 2022-05-26 06:00:00, end 2022-05-26 12:00:00, actual hours 6:00:00, effective hours 6:00:00
start 2022-05-26 06:00:00, end 2022-05-26 15:00:00, actual hours 9:00:00, effective hours 9:00:00
start 2022-05-26 06:00:00, end 2022-05-26 18:00:00, actual hours 12:00:00, effective hours 12:00:00
start 2022-05-26 06:00:00, end 2022-05-26 21:00:00, actual hours 15:00:00, effective hours 15:15:00
start 2022-05-26 06:00:00, end 2022-05-27 00:00:00, actual hours 18:00:00, effective hours 19:00:00
start 2022-05-26 06:00:00, end 2022-05-27 03:00:00, actual hours 21:00:00, effective hours 22:45:00
start 2022-05-26 06:00:00, end 2022-05-27 06:00:00, actual hours 1 day, 0:00:00, effective hours 1 day, 2:30:00
start 2022-05-26 06:00:00, end 2022-05-27 09:00:00, actual hours 1 day, 3:00:00, effective hours 1 day, 5:30:00
start 2022-05-26 06:00:00, end 2022-05-27 12:00:00, actual hours 1 day, 6:00:00, effective hours 1 day, 8:30:00
start 2022-05-26 06:00:00, end 2022-05-27 15:00:00, actual hours 1 day, 9:00:00, effective hours 1 day, 11:30:00
start 2022-05-26 06:00:00, end 2022-05-27 18:00:00, actual hours 1 day, 12:00:00, effective hours 1 day, 14:30:00
start 2022-05-26 06:00:00, end 2022-05-27 21:00:00, actual hours 1 day, 15:00:00, effective hours 1 day, 17:45:00
start 2022-05-26 06:00:00, end 2022-05-28 00:00:00, actual hours 1 day, 18:00:00, effective hours 1 day, 21:30:00
start 2022-05-26 06:00:00, end 2022-05-28 03:00:00, actual hours 1 day, 21:00:00, effective hours 2 days, 1:15:00
start 2022-05-26 06:00:00, end 2022-05-28 06:00:00, actual hours 2 days, 0:00:00, effective hours 2 days, 5:00:00
start 2022-05-26 09:00:00, end 2022-05-28 06:00:00, actual hours 1 day, 21:00:00, effective hours 2 days, 2:00:00
start 2022-05-26 12:00:00, end 2022-05-28 06:00:00, actual hours 1 day, 18:00:00, effective hours 1 day, 23:00:00
start 2022-05-26 15:00:00, end 2022-05-28 06:00:00, actual hours 1 day, 15:00:00, effective hours 1 day, 20:00:00
start 2022-05-26 18:00:00, end 2022-05-28 06:00:00, actual hours 1 day, 12:00:00, effective hours 1 day, 17:00:00
start 2022-05-26 21:00:00, end 2022-05-28 06:00:00, actual hours 1 day, 9:00:00, effective hours 1 day, 13:45:00
start 2022-05-27 00:00:00, end 2022-05-28 06:00:00, actual hours 1 day, 6:00:00, effective hours 1 day, 10:00:00
start 2022-05-27 03:00:00, end 2022-05-28 06:00:00, actual hours 1 day, 3:00:00, effective hours 1 day, 6:15:00
start 2022-05-27 06:00:00, end 2022-05-28 06:00:00, actual hours 1 day, 0:00:00, effective hours 1 day, 2:30:00
start 2022-05-27 09:00:00, end 2022-05-28 06:00:00, actual hours 21:00:00, effective hours 23:30:00
start 2022-05-27 12:00:00, end 2022-05-28 06:00:00, actual hours 18:00:00, effective hours 20:30:00
start 2022-05-27 15:00:00, end 2022-05-28 06:00:00, actual hours 15:00:00, effective hours 17:30:00
start 2022-05-27 18:00:00, end 2022-05-28 06:00:00, actual hours 12:00:00, effective hours 14:30:00
start 2022-05-27 21:00:00, end 2022-05-28 06:00:00, actual hours 9:00:00, effective hours 11:15:00
start 2022-05-28 00:00:00, end 2022-05-28 06:00:00, actual hours 6:00:00, effective hours 7:30:00
start 2022-05-28 03:00:00, end 2022-05-28 06:00:00, actual hours 3:00:00, effective hours 3:45:00
更新 #2:
这里是稍微修改过的代码，它输出正常小时数、奖金小时数（即奖金小时数 window 从 20:00 到 06:00）和额外小时数（25% * 奖金小时）：
from datetime import datetime, timedelta
def getRegularAndBonusHours(startTime, endTime):
if endTime < startTime:
raise ValueError(f'endTime {endTime} is before startTime {startTime}')
startDateStr = startTime.strftime("%Y-%m-%d")
bonusStartTime = datetime.strptime(startDateStr + " " + "20:00:00", "%Y-%m-%d %H:%M:%S")
prevBonusEndTime = datetime.strptime(startTime.strftime("%Y-%m-%d") + " " + "06:00:00", "%Y-%m-%d %H:%M:%S")
bonusEndTime = prevBonusEndTime + timedelta(days=1)
bonusPeriod = timedelta(days=0)
duration = endTime - startTime
hours = duration.total_seconds() // 3600
if hours > 24:
fullDays = hours // 24
bonusPeriod += fullDays * (bonusEndTime - bonusStartTime)
endTime -= timedelta(days=fullDays)
if startTime < prevBonusEndTime:
bonusPeriod += prevBonusEndTime - startTime
if endTime < prevBonusEndTime:
bonusPeriod -= prevBonusEndTime - endTime
if startTime > bonusStartTime:
bonusPeriod -= startTime - bonusStartTime
if endTime > bonusStartTime:
bonusPeriod += min(endTime, bonusEndTime) - bonusStartTime
return duration, bonusPeriod
def getHours(startTime, endTime, extraFraction):
duration, bonusPeriod = getRegularAndBonusHours(startTime, endTime)
delta = duration + bonusPeriod * extraFraction
return delta
def testing(start, end):
duration, bonusPeriod = getRegularAndBonusHours(start, end)
def getHoursRoundedUp(delta):
return delta.days * 24 + delta.seconds // 3600 + (1 if delta.seconds % 3600 else 0)
regularHours, bonusHours = getHoursRoundedUp(duration), getHoursRoundedUp(bonusPeriod)
print(f'start {start}, end {end}, regular {regularHours}, bonus {bonusHours}, extra {0.25 * bonusHours}')
startTime = datetime.strptime("2022-05-26 06:00:00", "%Y-%m-%d %H:%M:%S")
endTime = startTime
for h in range(0, 48, 3):
testing(startTime, endTime + timedelta(hours=h))
endTime += timedelta(hours=48)
for h in range(0, 48, 3):
testing(startTime + timedelta(hours=h), endTime)
输出：
start 2022-05-26 06:00:00, end 2022-05-26 06:00:00, regular 0, bonus 0, extra 0.0
start 2022-05-26 06:00:00, end 2022-05-26 09:00:00, regular 3, bonus 0, extra 0.0
start 2022-05-26 06:00:00, end 2022-05-26 12:00:00, regular 6, bonus 0, extra 0.0
start 2022-05-26 06:00:00, end 2022-05-26 15:00:00, regular 9, bonus 0, extra 0.0
start 2022-05-26 06:00:00, end 2022-05-26 18:00:00, regular 12, bonus 0, extra 0.0
start 2022-05-26 06:00:00, end 2022-05-26 21:00:00, regular 15, bonus 1, extra 0.25
start 2022-05-26 06:00:00, end 2022-05-27 00:00:00, regular 18, bonus 4, extra 1.0
start 2022-05-26 06:00:00, end 2022-05-27 03:00:00, regular 21, bonus 7, extra 1.75
start 2022-05-26 06:00:00, end 2022-05-27 06:00:00, regular 24, bonus 10, extra 2.5
start 2022-05-26 06:00:00, end 2022-05-27 09:00:00, regular 27, bonus 10, extra 2.5
start 2022-05-26 06:00:00, end 2022-05-27 12:00:00, regular 30, bonus 10, extra 2.5
start 2022-05-26 06:00:00, end 2022-05-27 15:00:00, regular 33, bonus 10, extra 2.5
start 2022-05-26 06:00:00, end 2022-05-27 18:00:00, regular 36, bonus 10, extra 2.5
start 2022-05-26 06:00:00, end 2022-05-27 21:00:00, regular 39, bonus 11, extra 2.75
start 2022-05-26 06:00:00, end 2022-05-28 00:00:00, regular 42, bonus 14, extra 3.5
start 2022-05-26 06:00:00, end 2022-05-28 03:00:00, regular 45, bonus 17, extra 4.25
start 2022-05-26 06:00:00, end 2022-05-28 06:00:00, regular 48, bonus 20, extra 5.0
start 2022-05-26 09:00:00, end 2022-05-28 06:00:00, regular 45, bonus 20, extra 5.0
start 2022-05-26 12:00:00, end 2022-05-28 06:00:00, regular 42, bonus 20, extra 5.0
start 2022-05-26 15:00:00, end 2022-05-28 06:00:00, regular 39, bonus 20, extra 5.0
start 2022-05-26 18:00:00, end 2022-05-28 06:00:00, regular 36, bonus 20, extra 5.0
start 2022-05-26 21:00:00, end 2022-05-28 06:00:00, regular 33, bonus 19, extra 4.75
start 2022-05-27 00:00:00, end 2022-05-28 06:00:00, regular 30, bonus 16, extra 4.0
start 2022-05-27 03:00:00, end 2022-05-28 06:00:00, regular 27, bonus 13, extra 3.25
start 2022-05-27 06:00:00, end 2022-05-28 06:00:00, regular 24, bonus 10, extra 2.5
start 2022-05-27 09:00:00, end 2022-05-28 06:00:00, regular 21, bonus 10, extra 2.5
start 2022-05-27 12:00:00, end 2022-05-28 06:00:00, regular 18, bonus 10, extra 2.5
start 2022-05-27 15:00:00, end 2022-05-28 06:00:00, regular 15, bonus 10, extra 2.5
start 2022-05-27 18:00:00, end 2022-05-28 06:00:00, regular 12, bonus 10, extra 2.5
start 2022-05-27 21:00:00, end 2022-05-28 06:00:00, regular 9, bonus 9, extra 2.25
start 2022-05-28 00:00:00, end 2022-05-28 06:00:00, regular 6, bonus 6, extra 1.5
start 2022-05-28 03:00:00, end 2022-05-28 06:00:00, regular 3, bonus 3, extra 0.75
更新#3
OP 在评论中的最新说明表明：
- 需要在 excel 更新夜间工作时收到的津贴
- excelsheet中的目标是分别输入开始时间、结束时间、工作时间（无补）、夜班补（25%从20:00到06:) 夜间工作开始的每个小时。
这里更新了代码以创建所需的数据结果，并可选择使用 pandas 数据框将其放入 Excel 文件中。测试输入用于探索开始和结束时间的范围，包括部分时间：
from datetime import datetime, timedelta
def getRegularAndBonusHours(startTime, endTime):
if endTime < startTime:
raise ValueError(f'endTime {endTime} is before startTime {startTime}')
startDateStr = startTime.strftime("%Y-%m-%d")
bonusStartTime = datetime.strptime(startDateStr + " " + "20:00:00", "%Y-%m-%d %H:%M:%S")
prevBonusEndTime = datetime.strptime(startTime.strftime("%Y-%m-%d") + " " + "06:00:00", "%Y-%m-%d %H:%M:%S")
bonusEndTime = prevBonusEndTime + timedelta(days=1)
bonusPeriod = timedelta(days=0)
duration = endTime - startTime
hours = duration.total_seconds() // 3600
if hours > 24:
fullDays = hours // 24
bonusPeriod += fullDays * (bonusEndTime - bonusStartTime)
endTime -= timedelta(days=fullDays)
if startTime < prevBonusEndTime:
bonusPeriod += prevBonusEndTime - startTime
if endTime < prevBonusEndTime:
bonusPeriod -= prevBonusEndTime - endTime
if startTime > bonusStartTime:
bonusPeriod -= startTime - bonusStartTime
if endTime > bonusStartTime:
bonusPeriod += min(endTime, bonusEndTime) - bonusStartTime
return duration, bonusPeriod
def testing(start, end):
duration, bonusPeriod = getRegularAndBonusHours(start, end)
def getHoursFromDelta(delta, roundUp=False):
return delta.days * 24 + (delta.seconds // 3600 + (1 if delta.seconds % 3600 else 0)) if roundUp else (delta.seconds / 3600)
fullHours, bonusHours = getHoursFromDelta(duration + bonusPeriod), getHoursFromDelta(bonusPeriod, True)
return start, end, fullHours, bonusHours * 0.25
# calculate test results
results = []
startTime = datetime.strptime("2022-05-26 06:00:00", "%Y-%m-%d %H:%M:%S")
endTime = startTime
for halfHours in range(0, 2 * 48, 5):
results.append(testing(startTime, endTime + timedelta(hours=halfHours / 2)))
endTime += timedelta(hours=48)
for halfHours in range(0, 2 * 48, 5):
results.append(testing(startTime + timedelta(hours=halfHours / 2), endTime))
# print results
headings = ['Start Time', 'End Time', 'Working Hours', '25% of Supplemental Hours Started']
[print(f'{x:30}', end='') for x in headings]
[[print(f'{f"{x}":30}', end='') for x in row] for row in results if print() or True]
print()
# OPTIONAL: save results in pandas dataframe and save as Excel file
import pandas as pd
df = pd.DataFrame(results, columns=headings)
print(df)
with pd.ExcelWriter('TestTimesheet.xlsx') as writer:
df.to_excel(writer, index=None, sheet_name='Timesheet')
ws = writer.sheets['Timesheet']
for column in df:
column_length = max(df[column].astype(str).map(len).max(), len(column))
col_idx = df.columns.get_loc(column)
ws.column_dimensions[chr(ord('A') + col_idx)].width = column_length
输出：
Start Time End Time Working Hours 25% of Supplemental Hours Started
0 2022-05-26 06:00:00 2022-05-26 06:00:00 0.0 0.00
1 2022-05-26 06:00:00 2022-05-26 08:30:00 2.5 0.00
2 2022-05-26 06:00:00 2022-05-26 11:00:00 5.0 0.00
3 2022-05-26 06:00:00 2022-05-26 13:30:00 7.5 0.00
4 2022-05-26 06:00:00 2022-05-26 16:00:00 10.0 0.00
5 2022-05-26 06:00:00 2022-05-26 18:30:00 12.5 0.00
6 2022-05-26 06:00:00 2022-05-26 21:00:00 16.0 0.25
7 2022-05-26 06:00:00 2022-05-26 23:30:00 21.0 1.00
8 2022-05-26 06:00:00 2022-05-27 02:00:00 2.0 1.50
9 2022-05-26 06:00:00 2022-05-27 04:30:00 7.0 2.25
10 2022-05-26 06:00:00 2022-05-27 07:00:00 11.0 2.50
11 2022-05-26 06:00:00 2022-05-27 09:30:00 13.5 2.50
12 2022-05-26 06:00:00 2022-05-27 12:00:00 16.0 2.50
13 2022-05-26 06:00:00 2022-05-27 14:30:00 18.5 2.50
14 2022-05-26 06:00:00 2022-05-27 17:00:00 21.0 2.50
15 2022-05-26 06:00:00 2022-05-27 19:30:00 23.5 2.50
16 2022-05-26 06:00:00 2022-05-27 22:00:00 4.0 3.00
17 2022-05-26 06:00:00 2022-05-28 00:30:00 9.0 3.75
18 2022-05-26 06:00:00 2022-05-28 03:00:00 14.0 4.25
19 2022-05-26 06:00:00 2022-05-28 05:30:00 19.0 5.00
20 2022-05-26 06:00:00 2022-05-28 06:00:00 20.0 5.00
21 2022-05-26 08:30:00 2022-05-28 06:00:00 17.5 5.00
22 2022-05-26 11:00:00 2022-05-28 06:00:00 15.0 5.00
23 2022-05-26 13:30:00 2022-05-28 06:00:00 12.5 5.00
24 2022-05-26 16:00:00 2022-05-28 06:00:00 10.0 5.00
25 2022-05-26 18:30:00 2022-05-28 06:00:00 7.5 5.00
26 2022-05-26 21:00:00 2022-05-28 06:00:00 4.0 4.75
27 2022-05-26 23:30:00 2022-05-28 06:00:00 23.0 4.25
28 2022-05-27 02:00:00 2022-05-28 06:00:00 18.0 3.50
29 2022-05-27 04:30:00 2022-05-28 06:00:00 13.0 3.00
30 2022-05-27 07:00:00 2022-05-28 06:00:00 9.0 2.50
31 2022-05-27 09:30:00 2022-05-28 06:00:00 6.5 2.50
32 2022-05-27 12:00:00 2022-05-28 06:00:00 4.0 2.50
33 2022-05-27 14:30:00 2022-05-28 06:00:00 1.5 2.50
34 2022-05-27 17:00:00 2022-05-28 06:00:00 23.0 2.50
35 2022-05-27 19:30:00 2022-05-28 06:00:00 20.5 2.50
36 2022-05-27 22:00:00 2022-05-28 06:00:00 16.0 2.00
37 2022-05-28 00:30:00 2022-05-28 06:00:00 11.0 1.50
38 2022-05-28 03:00:00 2022-05-28 06:00:00 6.0 0.75
39 2022-05-28 05:30:00 2022-05-28 06:00:00 1.0 0.25