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# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class
# C extensions
*.so
# Distribution / packaging
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
share/python-wheels/
*.egg-info/
.installed.cfg
*.egg
MANIFEST
# PyInstaller
# Usually these files are written by a python script from a template
# before PyInstaller builds the exe, so as to inject date/other infos into it.
*.manifest
*.spec
# Installer logs
pip-log.txt
pip-delete-this-directory.txt
# Unit test / coverage reports
htmlcov/
.tox/
.nox/
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*.cover
*.py,cover
.hypothesis/
.pytest_cache/
cover/
# Translations
*.mo
*.pot
# Django stuff:
*.log
local_settings.py
db.sqlite3
db.sqlite3-journal
# Flask stuff:
instance/
.webassets-cache
# Scrapy stuff:
.scrapy
# Sphinx documentation
docs/_build/
# PyBuilder
.pybuilder/
target/
# Jupyter Notebook
.ipynb_checkpoints
# IPython
profile_default/
ipython_config.py
# pyenv
# For a library or package, you might want to ignore these files since the code is
# intended to run in multiple environments; otherwise, check them in:
# .python-version
# pipenv
# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
# However, in case of collaboration, if having platform-specific dependencies or dependencies
# having no cross-platform support, pipenv may install dependencies that don't work, or not
# install all needed dependencies.
#Pipfile.lock
# poetry
# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
# This is especially recommended for binary packages to ensure reproducibility, and is more
# commonly ignored for libraries.
# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
#poetry.lock
# pdm
# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
#pdm.lock
# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
# in version control.
# https://pdm-project.org/#use-with-ide
.pdm.toml
.pdm-python
.pdm-build/
# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
__pypackages__/
# Celery stuff
celerybeat-schedule
celerybeat.pid
# SageMath parsed files
*.sage.py
# Environments
.env
.venv
env/
venv/
ENV/
env.bak/
venv.bak/
# Spyder project settings
.spyderproject
.spyproject
# Rope project settings
.ropeproject
# mkdocs documentation
/site
# mypy
.mypy_cache/
.dmypy.json
dmypy.json
# Pyre type checker
.pyre/
# pytype static type analyzer
.pytype/
# Cython debug symbols
cython_debug/
# PyCharm
# JetBrains specific template is maintained in a separate JetBrains.gitignore that can
# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
# and can be added to the global gitignore or merged into this file. For a more nuclear
# option (not recommended) you can uncomment the following to ignore the entire idea folder.
#.idea/

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# nonebot_plugin_competition_rank

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[project]
name = "nonebot_plugin_competition_rank"
version = "0.1"
description = "Default template for PDM package"
authors = [
{name = "Fiber", email = "leaf@airo.cc"},
]
dependencies = []
requires-python = ">=3.12"
readme = "README.md"
license = {text = "MIT"}

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import json
from nonebot import on_command
from nonebot.adapters.onebot.v11 import Bot, Event
def read_json_file(file_path):
with open(file_path, 'r', encoding='utf-8') as file:
data = json.load(file)
return data
def save_json_file(file_path, data):
with open(file_path, 'w', encoding='utf-8') as file:
json.dump(data, file, ensure_ascii=False, indent=4)
def get_user_answer_counts(data):
user_counts = {}
for answers in data.values():
for user_id in answers:
if user_id in user_counts:
user_counts[user_id] += 1
else:
user_counts[user_id] = 1
return user_counts
def sort_users_by_answers(user_counts):
return sorted(user_counts.items(), key=lambda x: x[1], reverse=True)
data_path = "./data/competition_rank.json"
to_answer = on_command("")
@to_answer.handle()
async def handle_answer(bot: Bot, event: Event):
user_id = event.get_user_id()
message = str(event.get_message()).strip()
data = read_json_file(data_path)
for ans in data.keys():
if ans in message and not data[ans]: # Check if the answer list is empty
data[ans].append(user_id)
save_json_file(data_path, data) # Save the updated data
name_data = await bot.call_api(
"get_stranger_info", **{"user_id": user_id, "no_cache": False}
)
nickname = name_data["nickname"]
await bot.send(event, nickname + "回答正确!")
to_calculate = on_command("统计")
@to_calculate.handle()
async def handle_statistics(bot: Bot, event: Event):
data = read_json_file(data_path)
user_counts = get_user_answer_counts(data)
sorted_users = sort_users_by_answers(user_counts)
message = "答题排行榜:\n"
for user_id, count in sorted_users:
name_data = await bot.call_api(
"get_stranger_info", **{"user_id": user_id, "no_cache": False}
)
nickname = name_data["nickname"]
message += f"{nickname}: {count}\n"
await bot.send(event, message)

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