我有以下代码部分，如果用户输入“gr”将运行。
我想做的是运行tasks.txt 文件，追加、删除并将其拆分为reports[]，这样我就可以根据需要访问列表的每个部分，以使用相关信息更新两个字典。然后，我将打开此信息并将其写入 2 个新的 .txt 文件 (task_overview.txt + user_overview.txt)
如果这没有任何意义，我很抱歉，但我多年来一直在为此苦苦挣扎，而且我也很新。
tasks.txt 看起来像这样：
user;Task;description of task;due date;entered date;completed
sam;asdfgg;gfdsa;2024-12-12;2024-03-09;No
admin;werty;ytrew;2024-12-12;2024-03-09;No
sam;plkju;ujklp;2024-02-12;2024-03-09;No
admin;qwaszx;xzsawq;2023-12-12;2024-03-09;No
sam;finish cap2;make the code more user friendly;2024-03-16;2024-03-11;No
gr代码：
elif menu == 'gr':
# creating dictionary with values for task_overview file
stat_dict_task_overview = {
"Tasks": 0,
"Completed": 0,
"Uncompleted": 0,
"Overdue": 0,
"Percentage Incomplete": 0,
"Percentage Overdue": 0
}
# creating dictionary with values for user_overview file
stat_dict_user_overview = {
"Users": 0,
"Tasks": 0,
"Name": 0,
}
reports = []
with open("tasks.txt", "r") as task:
# This code updates the dictionary as needed
for line in enumerate(task):
stat_dict_task_overview["Tasks"] += 1
# From this point on nothing gets updated to the dictionary
reports = task.readlines()
for line in task:
reports.append(line.strip().split(";"))
for line in task:
if reports[-1] == "Yes":
stat_dict_task_overview["Completed"] += 1
else:
stat_dict_task_overview["Uncompleted"] += 1
if reports[3] < str(datetime.today()):
stat_dict_task_overview["Overdue"] += 1
print(reports)
print(stat_dict_task_overview)
我想做的是运行tasks.txt 文件，追加、删除并将其拆分为reports[]，这样我就可以根据需要访问列表的每个部分，以使用相关信息更新两个字典。然后，我将打开此信息并将其写入 2 个新的 .txt 文件 (task_overview.txt + user_overview.txt)
我的答案有点过分了，但我已经看到这个特定的问题经过了几次，但略有不同。我对我的代码进行了相当多的注释，并且我将这些内容分成了单独的函数。
最主要的是，您使用的是带有分号分隔符的 CSV 文件。使用标准的 python CSV 模块，特别是
csv.DictReader()import csv
from datetime import datetime
# pprint is only imported to make the ouput at the bottom look nice
from pprint import pprint
def loadfile(csvfilename: str) -> dict[list]:
users = {}
# easy reading of file as a CSV file
# it skips over empty lines, and uses the first line as the dict key names
with open(csvfilename) as csvfile:
reader = csv.DictReader(csvfile, delimiter=";")
for row in reader:
# remove the name and use it as a key in the users dict
name = row.pop("user")
if name not in users:
# add new user
users[name] = [row]
else:
# update existing user
users[name].append(row)
return users
def get_stat_user_overview(users: dict[list]) -> dict:
tasks = 0
name = 0 # no idea what this is supposed to be
for user in users:
# just count the length of the tasklist and add to tasks
tasks += len(user)
usercount = len(users)
# you can just generate and return a dict without assigning it
# to a variable first
return {
"Tasks": tasks,
"Users": usercount,
"Names": name
}
def get_stat_task_overview(users: dict[list]) -> dict:
# set initial dict to zeros
result = {
"Tasks": 0,
"Completed": 0,
"Uncompleted": 0,
"Overdue": 0,
}
today = datetime.now() # only set this once to reduce the function calls
for user in users.values():
for task in user:
# add task count
result['Tasks'] += 1
# check if task completed
if task['completed'] == 'No':
result['Uncompleted'] += 1
# only check for overdue for the uncompleted items
# it's also safer to turn the string into a datatime object
# and then do a comparison between datetime objects
if datetime.strptime(task['due date'], '%Y-%m-%d') < today:
result['Overdue'] += 1
else:
result['Completed'] += 1
# do the percentage calculations
result["Percentage Incomplete"] = result['Uncompleted'] / result['Tasks'] * 100
result["Percentage Overdue"] = result['Overdue'] / result['Tasks'] * 100
return result
csvfilename = "tasks.txt"
users = loadfile(csvfilename)
pprint(users, indent=4)
print('-----')
user_stats = get_stat_user_overview(users)
pprint(user_stats, indent=4)
print('-----')
task_stats = get_stat_task_overview(users)
pprint(task_stats, indent=4)
结果输出：
{ 'admin': [ { 'Task': 'werty',
'completed': 'No',
'description of task': 'ytrew',
'due date': '2024-12-12',
'entered date': '2024-03-09'},
{ 'Task': 'qwaszx',
'completed': 'No',
'description of task': 'xzsawq',
'due date': '2023-12-12',
'entered date': '2024-03-09'}],
'sam': [ { 'Task': 'asdfgg',
'completed': 'No',
'description of task': 'gfdsa',
'due date': '2024-12-12',
'entered date': '2024-03-09'},
{ 'Task': 'plkju',
'completed': 'No',
'description of task': 'ujklp',
'due date': '2024-02-12',
'entered date': '2024-03-09'},
{ 'Task': 'finish cap2',
'completed': 'No',
'description of task': 'make the code more user friendly',
'due date': '2024-03-16',
'entered date': '2024-03-11'}]}
-----
{'Names': 0, 'Tasks': 8, 'Users': 2}
-----
{ 'Completed': 0,
'Overdue': 3,
'Percentage Incomplete': 100.0,
'Percentage Overdue': 60.0,
'Tasks': 5,
'Uncompleted': 5}