提交客户端1版本

master v1.0
newrain 9 months ago
commit 2f56f4d13e
  1. 161
      .gitignore
  2. 5
      config.json
  3. BIN
      copyer.exe
  4. 59
      copyer.py

161
.gitignore vendored

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# ---> Python
# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class
# C extensions
*.so
.idea/
# 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.fming.dev/#use-with-ide
.pdm.toml
# 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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{
"host": "192.168.0.107",
"port": 8000,
"key": "096a5d52-6387-4967-8359-46a62acf5a43"
}

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import json
import asyncio
import websockets
import pyperclip
import sys, os
import time
import subprocess
# 获取机器唯一ID,仅适用于Windows系统
def get_machine_guid():
if sys.platform == "win32":
cmd = r'reg query HKEY_LOCAL_MACHINE\SOFTWARE\Microsoft\Cryptography /v MachineGuid'
guid = subprocess.check_output(cmd, shell=True).decode().split()[-1]
return guid
return None
# 加载或创建配置文件,配置文件包含连接WebSocket服务器所需的信息
def get_config():
config_file = 'config.json'
if not os.path.exists(config_file):
config = {
'host': '127.0.0.1',
'port': 8000,
'key': get_machine_guid() or "default_key" # 使用机器GUID或默认键作为标识
}
with open(config_file, 'w', encoding='utf-8') as f:
json.dump(config, f, indent=2)
else:
with open(config_file, 'r', encoding='utf-8') as f:
config = json.load(f)
return config
# 异步函数,用于持续发送剪贴板数据到服务器
async def send_clipboard_data(uri, key):
previous_clipboard_content = "" # 用于追踪剪贴板内容变化
async with websockets.connect(uri) as websocket: # 异步连接WebSocket服务器
while True:
clipboard_content = pyperclip.paste() # 获取当前剪贴板内容
if clipboard_content and clipboard_content != previous_clipboard_content:
previous_clipboard_content = clipboard_content # 更新最新的剪贴板内容
data = {
'key': key,
'value': json.dumps({"data": clipboard_content,
'platform': sys.platform,
'time': time.strftime('%Y-%m-%d %H:%M:%S')}, ensure_ascii=False)
}
await websocket.send(json.dumps(data)) # 发送数据到服务器
print(f"已更新数据: {data}") # 打印已发送的数据信息
await asyncio.sleep(1) # 每1秒检查一次剪贴板的变化
if __name__ == "__main__":
config = get_config()
uri = f"ws://{config.get('host')}:{config.get('port')}/ws" # 构建WebSocket连接URI
try:
print("正在连接到WebSocket服务器...")
asyncio.get_event_loop().run_until_complete(send_clipboard_data(uri, config.get("key")))
except Exception as e:
print(f"发生错误: {e}") # 打印任何异常信息
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