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Merge branch 'main' of https://github.com/xlang-ai/DesktopEnv

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2024-04-05 01:58:00 +08:00
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.vscode/launch.json vendored
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{
// Use IntelliSense to learn about possible attributes.
// Hover to view descriptions of existing attributes.
// For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387
"version": "0.2.0",
"configurations": [
{
"name": "Python Debugger: Current File with Arguments",
"type": "debugpy",
"request": "launch",
"program": "${file}",
"console": "integratedTerminal",
"args": [
"--path_to_vm", "/Users/lxc/Virtual Machines.localized/DesktopEnv-Ubuntu 64-bit Arm.vmwarevm/DesktopEnv-Ubuntu 64-bit Arm.vmx"
// "--example_time_limit", "60"
]
}
]
}

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vscodeEvalExtension/node_modules/eslint-visitor-keys/LICENSE → LICENSE
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APPENDIX: How to apply the Apache License to your work.
To apply the Apache License to your work, attach the following
boilerplate notice, with the fields enclosed by brackets "{}"
boilerplate notice, with the fields enclosed by brackets "[]"
replaced with your own identifying information. (Don't include
the brackets!) The text should be enclosed in the appropriate
comment syntax for the file format. We also recommend that a
@@ -186,7 +186,7 @@
same "printed page" as the copyright notice for easier
identification within third-party archives.
Copyright contributors
Copyright 2024 XLANG NLP Lab
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.

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README.md
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# OSWorld: Open-Ended Tasks in Real Computer Environments
# OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments
<p align="center">
<img src="desktop_env/assets/icon.jpg" alt="Logo" width="80px">
<br>
<b>SLOGAN</b>
</p>
<p align="center">
<a href="">Website</a> •
<a href="https://os-world.github.io/">Website</a> •
<a href="">Paper</a>
</p>
![Overview]()
## Updates
- 2024-03-01: We released our [paper](), [environment code](), [dataset](), and [project page](). Check it out!
- 2024-04-04: We released our [paper](), [environment and benchmark](https://github.com/xlang-ai/OSWorld), and [project page](https://os-world.github.io/). Check it out!
## Install
1. Install VMWare and configure `vmrun` command:
Please refer to [guidance](https://docs.google.com/document/d/1KBdeZwmZs2Vi_Wsnngb3Wf1-RiwMMpXTftwMqP2Ztak/edit#heading=h.uh0x0tkl7fuw)
## Installation
### On Your Desktop or Server (Non-Virtualized Platform)
Suppose you are operating on a system that has not been virtualized, meaning you are not utilizing a virtualized environment like AWS, Azure, or k8s. If this is the case, proceed with the instructions below. However, if you are on a virtualized platform, please refer to the [virtualized platform](https://github.com/xlang-ai/OSWorld?tab=readme-ov-file#virtualized-platform) section.
2. Install the environment package, download the examples and the virtual machine image.
For x86_64 Linux or Windows, you can install the environment package and download the examples and the virtual machine image by running the following commands:
1. First, clone this repository and `cd` into it. Then, install the dependencies listed in `requirements.txt`. It is recommended that you use the latest version of Conda to manage the environment, but you can also choose to manually install the dependencies. Please ensure that the version of Python is >= 3.9.
```bash
git clone https://github.com/xlang-ai/DesktopEnv
cd DesktopEnv
# Clone the OSWorld repository
git clone https://github.com/xlang-ai/OSWorld
# Change directory into the cloned repository
cd OSWorld
# Optional: Create a Conda environment for OSWorld
# conda create -n osworld python=3.9
# conda activate osworld
# Install required dependencies
pip install -r requirements.txt
gdown https://drive.google.com/drive/folders/1HX5gcf7UeyR-2UmiA15Q9U-
Wr6E6Gio8 -O Ubuntu --folder
```
2. Install [VMware Workstation Pro](https://www.vmware.com/products/workstation-pro/workstation-pro-evaluation.html) (for systems with Apple Chips, you should install [VMware Fusion](https://www.vmware.com/go/getfusion)) and configure the `vmrun` command. Verify the successful installation by running the following:
```bash
vmrun -T ws list
```
If the installation along with the environment variable set is successful, you will see the message showing the current running virtual machines.
3. Obtain the virtual machine image. If you are using Linux or Windows with an x86_64 CPU, install the environment package and download the examples and the virtual machine image by executing the following commands:
Remove the `nogui` parameter if you wish to view the activities within the virtual machine.
```bash
gdown https://drive.google.com/drive/folders/1HX5gcf7UeyR-2UmiA15Q9U-Wr6E6Gio8 -O Ubuntu --folder
vmrun -T ws start "Ubuntu/Ubuntu.vmx" nogui
vmrun -T ws snapshot "Ubuntu/Ubuntu.vmx" "init_state"
```
For macOS with Apple chips, you should install the specially prepared virtual machine image by executing the following commands:
```bash
gdown https://drive.google.com/drive/folders/1wT0vwpuEFTIPik9Tjn4DWoZ2oHCD7tM0 -O Ubuntu --folder
vmrun -T fusion start "Ubuntu/DesktopEnv-Ubuntu 64-bit Arm.vmx"
vmrun -T fusion snapshot "Ubuntu/DesktopEnv-Ubuntu 64-bit Arm.vmx" "init_state"
```
### On AWS or Azure (Virtualized platform)
We are working on supporting it 👷. Please hold tight!
## Quick Start
Run the following minimal example to interact with the environment:
```python
import json
from desktop_env.envs.desktop_env import DesktopEnv
with open("evaluation_examples/examples/gimp/f723c744-e62c-4ae6-98d1-750d3cd7d79d.json", "r", encoding="utf-8") as f:
example = json.load(f)
example = {
"id": "94d95f96-9699-4208-98ba-3c3119edf9c2",
"instruction": "I want to install Spotify on my current system. Could you please help me?",
"config": [
{
"type": "execute",
"parameters": {
"command": [
"python",
"-c",
"import pyautogui; import time; pyautogui.click(960, 540); time.sleep(0.5);"
]
}
}
],
"evaluator": {
"func": "check_include_exclude",
"result": {
"type": "vm_command_line",
"command": "which spotify"
},
"expected": {
"type": "rule",
"rules": {
"include": ["spotify"],
"exclude": ["not found"]
}
}
}
}
env = DesktopEnv(
path_to_vm=r"path_to_vm",
action_space="computer_13",
task_config=example
path_to_vm=r"Ubuntu/DesktopEnv-Ubuntu 64-bit Arm.vmx",
action_space="pyautogui"
)
observation = env.reset()
observation, reward, done, info = env.step({"action_type": "CLICK", "parameters": {"button": "right", "num_clicks": 1}})
obs = env.reset(task_config=example)
obs, reward, done, info = env.step("pyautogui.rightClick()")
```
You will see all the logs of the system running normally, including the successful creation of the environment, completion of setup, and successful execution of actions. In the end, you will observe a successful right-click on the screen, which means you are ready to go.
## Experiments
### Agent Baselines
If you wish to run the baseline agent used in our paper, you can execute the following command as an example under the GPT-4V pure-screenshot setting:
```bash
python run.py --path_to_vm Ubuntu/Ubuntu.vmx --headless --observation_type screenshot --model gpt-4-vision-preview --result_dir ./results
```
The results, which include screenshots, actions, and video recordings of the agent's task completion, will be saved in the `./results` directory in this case. You can then run the following command to obtain the result:
```bash
python show_result.py
```
## Annotation Tool Usage
We provide an annotation tool to help you annotate the examples.
## Agent Usage
We provide a simple agent to interact with the environment. You can use it as a starting point to build your own agent.
## Road map of infra (Proposed)
- [x] Explore VMWare, and whether it can be connected and control through mouse package
- [x] Explore Windows and MacOS, whether it can be installed
- MacOS is closed source and cannot be legally installed
- Windows is available legally and can be installed
- [x] Build gym-like python interface for controlling the VM
- [x] Recording of actions (mouse movement, click, keyboard) for humans to annotate, and we can replay it and compress it
- [x] Build a simple task, e.g. open a browser, open a website, click on a button, and close the browser
- [x] Set up a pipeline and build agents implementation (zero-shot) for the task
- [x] Start to design on which tasks inside the DesktopENv to focus on, start to wrap up the environment to be public
- [x] Start to annotate the examples for ~~training~~ and testing
- [x] Error handling during file passing and file opening, etc.
- [x] Add accessibility tree from the OS into the observation space
- [x] Add pre-process and post-process action support for benchmarking setup and evaluation
- [ ] Multiprocess support, this can enable the reinforcement learning to be more efficient
- [ ] Experiment logging and visualization system
- [ ] Add more tasks, maybe scale to 300 for v1.0.0, and create a dynamic leaderboard
## Road map of benchmark, tools and resources (Proposed)
- [ ] Improve the annotation tool base on DuckTrack, make it more robust which align on accessibility tree
- [ ] Annotate the steps of doing the task
- [ ] Build a website for the project
- [ ] Crawl all resources we explored from the internet, and make it easy to access
- [ ] Set up ways for community to contribute new examples
### Evaluation
Please start by reading through the [agent interface](https://github.com/xlang-ai/OSWorld/blob/main/mm_agents/README.md) and the [environment interface](https://github.com/xlang-ai/OSWorld/blob/main/desktop_env/README.md).
Correctly implement the agent interface and import your customized version in the `run.py` file.
Afterward, you can execute a command similar to the one in the previous section to run the benchmark on your agent.
## Citation
If you find this environment useful, please consider citing our work:
```
@article{DesktopEnv,
@article{OSWorld,
title={},
author={},
journal={arXiv preprint arXiv:xxxx.xxxx},

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# Road Map
Here we provide a high-level road map for the project. We will update this road map as we make progress.
If you are interested in contributing to the project, please check the [CONTRIBUTING.md](CONTRIBUTING.md) for more details.
## Road Map for Environment Infrastructure
- [x] Explore VMWare, and whether it can be connected and control through mouse package
- [x] Explore Windows and MacOS, whether it can be installed
- MacOS is closed source and cannot be legally installed
- Windows is available legally and can be installed
- [x] Build gym-like python interface for controlling the VM
- [x] Recording of actions (mouse movement, click, keyboard) for humans to annotate, and we can replay it and compress it
- [x] Build a simple task, e.g. open a browser, open a website, click on a button, and close the browser
- [x] Set up a pipeline and build agents implementation (zero-shot) for the task
- [x] Start to design on which tasks inside the DesktopENv to focus on, start to wrap up the environment to be public
- [x] Start to annotate the examples for ~~training~~ and testing
- [x] Error handling during file passing and file opening, etc.
- [x] Add accessibility tree from the OS into the observation space
- [x] Add pre-process and post-process action support for benchmarking setup and evaluation
- [x] Experiment logging and visualization system
- [x] Add more tasks, maybe scale to 300 for v1.0.0, and create a dynamic leaderboard
- [x] Multiprocess support, this can enable the reinforcement learning to be more efficient
- [ ] Support running on platform that have nested virtualization, e.g. Google Cloud, AWS, etc.
## Road Map of Annotation Tool
- [ ] Improve the annotation tool base on DuckTrack, make it more robust which align on accessibility tree
- [ ] Annotate the steps of doing the task
- [ ] Crawl all resources we explored from the internet, and make it easy to access
- [ ] Set up ways for community to contribute new examples

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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.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/
# experiments
experiments/**/*.png
experiments/**/*.csv
experiments/**/*.mp4
experiments/**/*.jsonl
experiments/**/*.json
experiments/**/*.md
experiments/**/*.txt
# macos
*DS_Store*

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MIT License
Copyright (c) 2023 DuckAI
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

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# OBS Setup
These are instructions on setting up OBS (Open Broadcaster Software) to record screen activity for creating the multimodal computer dataset.
## Installation
1. Go to the OBS Project website: [https://obsproject.com/](https://obsproject.com/).
2. Choose the appropriate installer for your operating system.
3.
![Operating System Selection](readme_images/Screenshot%202023-06-17%20220155.png)
3. Run the installer from your downloads folder and grant OBS the necessary permissions for installation.
![Installer Run](readme_images/Screenshot%202023-06-24%20115916.png)
4. Keep the default settings and proceed through the installation wizard by clicking "Next" and then "Finish."
![Installation Wizard](readme_images/Screenshot%202023-06-24%20120133.png)
5. OBS should now be open. If not, search for and open the application.
![Open OBS](readme_images/Screenshot%202023-06-17%20221407.png)
## Enabling OBS WebSocket Server
1. Click on "Tools" in the Navigation Bar within OBS, and then select "WebSocket Server Settings." A pop-up window will appear.
![WebSocket Server Settings](readme_images/Screenshot%202023-06-17%20221553.png)
2. Check the box next to "Enable WebSocket server" and uncheck the box next to "Enable Authentication." Click "Apply," then "Ok." You should return to the main OBS page.
Make sure the port is set to 4455.
![Enable WebSocket Server](readme_images/Screenshot%202023-06-24%20120347.png)
## Adding Display Capture and Recording
1. Now, back on the home page of OBS, select "Scene." Under "Sources," click the "+" button and then click "Display Capture." (in MacOS this is MacOS Screen Capture)
![Display Capture](readme_images/Screenshot%202023-06-24%20110823.png)
2. Select "Ok."
![Confirm Display Capture](readme_images/Screenshot%202023-06-24%20111017.png)
3. Make sure the "Display" is set to your main display, and you should see your screen on the canvas. Select "Ok." _(in MacOS if your screen is black with a red square in the top left try to disable then re-enable OBS Screen Recording permissions, this has worked before)_
![Main Display](readme_images/Screenshot%202023-06-24%20112001.png)
4. Now you can close OBS and OBS will opened and controlled automatically when you launch the Computer Tracker App. Also, the Computer Tracker app creates a new OBS profile so you don't have to worry about your previous settings being messed up.
![Recording in Progress](readme_images/Screenshot%202023-06-24%20113548.png)

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# DuckTrack
This is the repository for the DuckAI DuckTrack app which records all keyboard and mouse input as well as the screen for use in a multimodal computer interaction dataset.
## Installation & Setup
### Download Application
<!-- TODO: add prebuilt applications in github releases -->
Download the pre-built application for your system [here](https://github.com/TheDuckAI/DuckTrack/releases/).
Make sure you have OBS downloaded with the following configuration:
1. Have a screen capture source recording your whole main screen.
2. Enable desktop audio and mute microphone.
3. Make sure the default websocket is enabled.
More detailed instructions for OBS setup and installation located [here](OBS_SETUP.md).
If you are on MacOS, make sure to enable to the following Privacy & Security permissions before running the app:
1. Accessibility (for playing back actions)
2. Input Monitoring (for reading keyboard inputs)
Make sure to accept all other security permission dialogues to ensure that the app works properly.
### Build from source
Have Python >=3.11.
Clone this repo and `cd` into it:
```bash
$ git clone https://github.com/TheDuckAI/DuckTrack
$ cd DuckTrack
```
Install the dependencies for this project:
```bash
$ pip install -r requirements.txt
```
Build the application:
```bash
$ python3 build.py
```
The built application should be located in the generated `dist` directory. After this, follow the remaining relevant setup instructions.
## Running the App
You can run the app like any other desktop app on your computer. If you decided to not download the app or build it from source, just run `python main.py` and it should work the same. You will be interacting with the app through an app tray icon or a small window.
### Recording
From the app tray or GUI, you can start and stop a recording as well as pause and resume a recording. Pausing and resuming is important for when you want to hide sensitive information like credit card of login credentials. You can optionally name your recording and give it a description upon stopping a recording. You can also view your recordings by pressing the "Show Recordings" option.
### Playback
You can playback a recording, i.e. simulate the series of events from the recording, by pressing "Play Latest Recording", which plays the latest created recording, or by pressing "Play Custom Recording", which lets you choose a recording to play. You can easily replay the most recently played recording by pressing "Replay Recording".
To stop the app mid-playback, just press `shift`+`esc` on your keyboard.
### Misc
To quit the app, you just press the "Quit" option.
## Recording Format
Recordings are stored in `Documents/DuckTrack_Recordings`. Each recording is a directory containing:
1. `events.jsonl` file - sequence of all computer actions that happened. A sample event may look like this:
```json
{"time_stamp": 1234567.89, "action": "move", "x": 69.0, "y": 420.0}
```
1. `metadata.json` - stores metadata about the computer that made the recording
2. `README.md` - stores the description for the recording
3. MP4 file - the screen recording from OBS of the recording.
Here is a [sample recording](example) for further reference.
## Technical Overview
<!-- maybe put a nice graphical representation of the app here -->
*TDB*
## Known Bugs
- After doing lots of playbacks on macOS, a segfault will occur.
- Mouse movement is not captured when the current application is using raw input, i.e. video games.
- OBS may not open in the background properly on some Linux machines.
## Things To Do
- Add logging
- Testing
- CI (with builds and testing)
- Add way to hide/show window from the app tray (and it saves that as a preference?)
- Make saving preferences a thing generally, like with natural scrolling too

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import shutil
import sys
from pathlib import Path
from platform import system
from subprocess import CalledProcessError, run
project_dir = Path(".")
assets_dir = project_dir / "assets"
main_py = project_dir / "main.py"
icon_file = assets_dir / ("duck.ico" if system() == "Windows" else "duck.png")
for dir_to_remove in ["dist", "build"]:
dir_path = project_dir / dir_to_remove
if dir_path.exists():
shutil.rmtree(dir_path)
pyinstaller_cmd = [
"pyinstaller", "--onefile", "--windowed",
f"--add-data={assets_dir}{';' if system() == 'Windows' else ':'}{assets_dir}",
f"--name=DuckTrack", f"--icon={icon_file}", str(main_py)
]
try:
run(pyinstaller_cmd, check=True)
except CalledProcessError as e:
print("An error occurred while running PyInstaller:", e)
sys.exit(1)

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from .app import MainInterface

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import os
import sys
from platform import system
from PyQt6.QtCore import QTimer, pyqtSlot
from PyQt6.QtGui import QAction, QIcon
from PyQt6.QtWidgets import (QApplication, QCheckBox, QDialog, QFileDialog,
QFormLayout, QLabel, QLineEdit, QMenu,
QMessageBox, QPushButton, QSystemTrayIcon,
QTextEdit, QVBoxLayout, QWidget)
from .obs_client import close_obs, is_obs_running, open_obs
from .playback import Player, get_latest_recording
from .recorder import Recorder
from .util import get_recordings_dir, open_file
class TitleDescriptionDialog(QDialog):
def __init__(self, parent=None):
super().__init__(parent)
self.setWindowTitle("Recording Details")
layout = QVBoxLayout(self)
self.form_layout = QFormLayout()
self.title_label = QLabel("Title:")
self.title_input = QLineEdit(self)
self.form_layout.addRow(self.title_label, self.title_input)
self.description_label = QLabel("Description:")
self.description_input = QTextEdit(self)
self.form_layout.addRow(self.description_label, self.description_input)
layout.addLayout(self.form_layout)
self.submit_button = QPushButton("Save", self)
self.submit_button.clicked.connect(self.accept)
layout.addWidget(self.submit_button)
def get_values(self):
return self.title_input.text(), self.description_input.toPlainText()
class MainInterface(QWidget):
def __init__(self, app: QApplication):
super().__init__()
self.tray = QSystemTrayIcon(QIcon(resource_path("assets/duck.png")))
self.tray.show()
self.app = app
self.init_tray()
self.init_window()
if not is_obs_running():
self.obs_process = open_obs()
def init_window(self):
self.setWindowTitle("DuckTrack")
layout = QVBoxLayout(self)
self.toggle_record_button = QPushButton("Start Recording", self)
self.toggle_record_button.clicked.connect(self.toggle_record)
layout.addWidget(self.toggle_record_button)
self.toggle_pause_button = QPushButton("Pause Recording", self)
self.toggle_pause_button.clicked.connect(self.toggle_pause)
self.toggle_pause_button.setEnabled(False)
layout.addWidget(self.toggle_pause_button)
self.show_recordings_button = QPushButton("Show Recordings", self)
self.show_recordings_button.clicked.connect(lambda: open_file(get_recordings_dir()))
layout.addWidget(self.show_recordings_button)
self.play_latest_button = QPushButton("Play Latest Recording", self)
self.play_latest_button.clicked.connect(self.play_latest_recording)
layout.addWidget(self.play_latest_button)
self.play_custom_button = QPushButton("Play Custom Recording", self)
self.play_custom_button.clicked.connect(self.play_custom_recording)
layout.addWidget(self.play_custom_button)
self.replay_recording_button = QPushButton("Replay Recording", self)
self.replay_recording_button.clicked.connect(self.replay_recording)
self.replay_recording_button.setEnabled(False)
layout.addWidget(self.replay_recording_button)
self.quit_button = QPushButton("Quit", self)
self.quit_button.clicked.connect(self.quit)
layout.addWidget(self.quit_button)
self.natural_scrolling_checkbox = QCheckBox("Natural Scrolling", self, checked=system() == "Darwin")
layout.addWidget(self.natural_scrolling_checkbox)
self.natural_scrolling_checkbox.stateChanged.connect(self.toggle_natural_scrolling)
self.setLayout(layout)
def init_tray(self):
self.menu = QMenu()
self.tray.setContextMenu(self.menu)
self.toggle_record_action = QAction("Start Recording")
self.toggle_record_action.triggered.connect(self.toggle_record)
self.menu.addAction(self.toggle_record_action)
self.toggle_pause_action = QAction("Pause Recording")
self.toggle_pause_action.triggered.connect(self.toggle_pause)
self.toggle_pause_action.setVisible(False)
self.menu.addAction(self.toggle_pause_action)
self.show_recordings_action = QAction("Show Recordings")
self.show_recordings_action.triggered.connect(lambda: open_file(get_recordings_dir()))
self.menu.addAction(self.show_recordings_action)
self.play_latest_action = QAction("Play Latest Recording")
self.play_latest_action.triggered.connect(self.play_latest_recording)
self.menu.addAction(self.play_latest_action)
self.play_custom_action = QAction("Play Custom Recording")
self.play_custom_action.triggered.connect(self.play_custom_recording)
self.menu.addAction(self.play_custom_action)
self.replay_recording_action = QAction("Replay Recording")
self.replay_recording_action.triggered.connect(self.replay_recording)
self.menu.addAction(self.replay_recording_action)
self.replay_recording_action.setVisible(False)
self.quit_action = QAction("Quit")
self.quit_action.triggered.connect(self.quit)
self.menu.addAction(self.quit_action)
self.menu.addSeparator()
self.natural_scrolling_option = QAction("Natural Scrolling", checkable=True, checked=system() == "Darwin")
self.natural_scrolling_option.triggered.connect(self.toggle_natural_scrolling)
self.menu.addAction(self.natural_scrolling_option)
@pyqtSlot()
def replay_recording(self):
player = Player()
if hasattr(self, "last_played_recording_path"):
player.play(self.last_played_recording_path)
else:
self.display_error_message("No recording has been played yet!")
@pyqtSlot()
def play_latest_recording(self):
player = Player()
recording_path = get_latest_recording()
self.last_played_recording_path = recording_path
self.replay_recording_action.setVisible(True)
self.replay_recording_button.setEnabled(True)
player.play(recording_path)
@pyqtSlot()
def play_custom_recording(self):
player = Player()
directory = QFileDialog.getExistingDirectory(None, "Select Recording", get_recordings_dir())
if directory:
self.last_played_recording_path = directory
self.replay_recording_button.setEnabled(True)
self.replay_recording_action.setVisible(True)
player.play(directory)
@pyqtSlot()
def quit(self):
if hasattr(self, "recorder_thread"):
self.toggle_record()
if hasattr(self, "obs_process"):
close_obs(self.obs_process)
self.app.quit()
def closeEvent(self, event):
self.quit()
@pyqtSlot()
def toggle_natural_scrolling(self):
sender = self.sender()
if sender == self.natural_scrolling_checkbox:
state = self.natural_scrolling_checkbox.isChecked()
self.natural_scrolling_option.setChecked(state)
else:
state = self.natural_scrolling_option.isChecked()
self.natural_scrolling_checkbox.setChecked(state)
@pyqtSlot()
def toggle_pause(self):
if self.recorder_thread._is_paused:
self.recorder_thread.resume_recording()
self.toggle_pause_action.setText("Pause Recording")
self.toggle_pause_button.setText("Pause Recording")
else:
self.recorder_thread.pause_recording()
self.toggle_pause_action.setText("Resume Recording")
self.toggle_pause_button.setText("Resume Recording")
@pyqtSlot()
def toggle_record(self):
if not hasattr(self, "recorder_thread"):
self.recorder_thread = Recorder(natural_scrolling=self.natural_scrolling_checkbox.isChecked())
self.recorder_thread.recording_stopped.connect(self.on_recording_stopped)
self.recorder_thread.start()
self.update_menu(True)
else:
self.recorder_thread.stop_recording()
self.recorder_thread.terminate()
recording_dir = self.recorder_thread.recording_path
del self.recorder_thread
dialog = TitleDescriptionDialog()
QTimer.singleShot(0, dialog.raise_)
result = dialog.exec()
if result == QDialog.DialogCode.Accepted:
title, description = dialog.get_values()
if title:
renamed_dir = os.path.join(os.path.dirname(recording_dir), title)
os.rename(recording_dir, renamed_dir)
with open(os.path.join(renamed_dir, 'README.md'), 'w') as f:
f.write(description)
self.on_recording_stopped()
@pyqtSlot()
def on_recording_stopped(self):
self.update_menu(False)
def update_menu(self, is_recording: bool):
self.toggle_record_button.setText("Stop Recording" if is_recording else "Start Recording")
self.toggle_record_action.setText("Stop Recording" if is_recording else "Start Recording")
self.toggle_pause_button.setEnabled(is_recording)
self.toggle_pause_action.setVisible(is_recording)
def display_error_message(self, message):
QMessageBox.critical(None, "Error", message)
def resource_path(relative_path: str) -> str:
if hasattr(sys, '_MEIPASS'):
base_path = getattr(sys, "_MEIPASS")
else:
base_path = os.path.join(os.path.dirname(os.path.abspath(__file__)), '..')
return os.path.join(base_path, relative_path)

33
annotation/ducktrack/keycomb.py
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@@ -1,33 +0,0 @@
from pynput.keyboard import Listener
from .util import name_to_key
class KeyCombinationListener:
"""
Simple and bad key combination listener.
"""
def __init__(self):
self.current_keys = set()
self.callbacks = {}
self.listener = Listener(on_press=self.on_key_press, on_release=self.on_key_release)
def add_comb(self, keys, callback):
self.callbacks[tuple([name_to_key(key_name) for key_name in sorted(keys)])] = callback
def on_key_press(self, key):
self.current_keys.add(key)
for comb, callback in self.callbacks.items():
if all(k in self.current_keys for k in comb):
return callback()
def on_key_release(self, key):
if key in self.current_keys:
self.current_keys.remove(key)
def start(self):
self.listener.start()
def stop(self):
self.listener.stop()

60
annotation/ducktrack/metadata.py
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@@ -1,60 +0,0 @@
import json
import os
import uuid
from datetime import datetime
from platform import uname
from screeninfo import get_monitors
class MetadataManager:
"""
Handles various system metadata collection.
"""
def __init__(self, recording_path: str, natural_scrolling: bool):
self.recording_path = recording_path
self.metadata = uname()._asdict()
self.metadata["id"] = uuid.getnode()
main_monitor = get_monitors()[0]
self.metadata["screen_width"] = main_monitor.width
self.metadata["screen_height"] = main_monitor.height
try:
match self.metadata["system"]:
case "Windows":
import wmi
for item in wmi.WMI().Win32_ComputerSystem():
self.metadata["model"] = item.Model
break
case "Darwin":
import subprocess
model = subprocess.check_output(["sysctl", "-n", "hw.model"]).decode().strip()
self.metadata["model"] = model
case "Linux":
with open("/sys/devices/virtual/dmi/id/product_name", "r") as f:
self.metadata["model"] = f.read().strip()
except:
self.metadata["model"] = "Unknown"
self.metadata["scroll_direction"] = -1 if natural_scrolling else 1
def save_metadata(self):
metadata_path = os.path.join(self.recording_path, "metadata.json")
with open(metadata_path, "w") as f:
json.dump(self.metadata, f, indent=4)
def collect(self):
self.metadata["start_time"] = self._get_time_stamp()
def end_collect(self):
self.metadata["stop_time"] = self._get_time_stamp()
def add_obs_record_state_timings(self, record_state_events: dict[str, float]):
self.metadata["obs_record_state_timings"] = record_state_events
def _get_time_stamp(self):
return datetime.now().strftime("%Y-%m-%d %H:%M:%S")

200
annotation/ducktrack/obs_client.py
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@@ -1,200 +0,0 @@
import os
import subprocess
import time
from platform import system
import obsws_python as obs
import psutil
def is_obs_running() -> bool:
try:
for process in psutil.process_iter(attrs=["pid", "name"]):
if "obs" in process.info["name"].lower():
return True
return False
except:
raise Exception("Could not check if OBS is running already. Please check manually.")
def close_obs(obs_process: subprocess.Popen):
if obs_process:
obs_process.terminate()
try:
obs_process.wait(timeout=5)
except subprocess.TimeoutExpired:
obs_process.kill()
def find_obs() -> str:
common_paths = {
"Windows": [
"C:\\Program Files\\obs-studio\\bin\\64bit\\obs64.exe",
"C:\\Program Files (x86)\\obs-studio\\bin\\32bit\\obs32.exe"
],
"Darwin": [
"/Applications/OBS.app/Contents/MacOS/OBS",
"/opt/homebrew/bin/obs"
],
"Linux": [
"/usr/bin/obs",
"/usr/local/bin/obs"
]
}
for path in common_paths.get(system(), []):
if os.path.exists(path):
return path
try:
if system() == "Windows":
obs_path = subprocess.check_output("where obs", shell=True).decode().strip()
else:
obs_path = subprocess.check_output("which obs", shell=True).decode().strip()
if os.path.exists(obs_path):
return obs_path
except subprocess.CalledProcessError:
pass
return "obs"
def open_obs() -> subprocess.Popen:
try:
obs_path = find_obs()
if system() == "Windows":
# you have to change the working directory first for OBS to find the correct locale on windows
os.chdir(os.path.dirname(obs_path))
obs_path = os.path.basename(obs_path)
return subprocess.Popen([obs_path, "--startreplaybuffer", "--minimize-to-tray"])
except:
raise Exception("Failed to find OBS, please open OBS manually.")
class OBSClient:
"""
Controls the OBS client via the OBS websocket.
Sets all the correct settings for recording.
"""
def __init__(
self,
recording_path: str,
metadata: dict,
fps=30,
output_width=1280,
output_height=720,
):
self.metadata = metadata
self.req_client = obs.ReqClient()
self.event_client = obs.EventClient()
self.record_state_events = {}
def on_record_state_changed(data):
output_state = data.output_state
print("record state changed:", output_state)
if output_state not in self.record_state_events:
self.record_state_events[output_state] = []
self.record_state_events[output_state].append(time.perf_counter())
self.event_client.callback.register(on_record_state_changed)
self.old_profile = self.req_client.get_profile_list().current_profile_name
if "computer_tracker" not in self.req_client.get_profile_list().profiles:
self.req_client.create_profile("computer_tracker")
else:
self.req_client.set_current_profile("computer_tracker")
self.req_client.create_profile("temp")
self.req_client.remove_profile("temp")
self.req_client.set_current_profile("computer_tracker")
base_width = metadata["screen_width"]
base_height = metadata["screen_height"]
if metadata["system"] == "Darwin":
# for retina displays
# TODO: check if external displays are messed up by this
base_width *= 2
base_height *= 2
scaled_width, scaled_height = _scale_resolution(base_width, base_height, output_width, output_height)
self.req_client.set_profile_parameter("Video", "BaseCX", str(base_width))
self.req_client.set_profile_parameter("Video", "BaseCY", str(base_height))
self.req_client.set_profile_parameter("Video", "OutputCX", str(scaled_width))
self.req_client.set_profile_parameter("Video", "OutputCY", str(scaled_height))
self.req_client.set_profile_parameter("Video", "ScaleType", "lanczos")
self.req_client.set_profile_parameter("AdvOut", "RescaleRes", f"{base_width}x{base_height}")
self.req_client.set_profile_parameter("AdvOut", "RecRescaleRes", f"{base_width}x{base_height}")
self.req_client.set_profile_parameter("AdvOut", "FFRescaleRes", f"{base_width}x{base_height}")
self.req_client.set_profile_parameter("Video", "FPSCommon", str(fps))
self.req_client.set_profile_parameter("Video", "FPSInt", str(fps))
self.req_client.set_profile_parameter("Video", "FPSNum", str(fps))
self.req_client.set_profile_parameter("Video", "FPSDen", "1")
self.req_client.set_profile_parameter("SimpleOutput", "RecFormat2", "mp4")
bitrate = int(_get_bitrate_mbps(scaled_width, scaled_height, fps=fps) * 1000 / 50) * 50
self.req_client.set_profile_parameter("SimpleOutput", "VBitrate", str(bitrate))
# do this in order to get pause & resume
self.req_client.set_profile_parameter("SimpleOutput", "RecQuality", "Small")
self.req_client.set_profile_parameter("SimpleOutput", "FilePath", recording_path)
# TODO: not all OBS configs have this, maybe just instruct the user to mute themselves
try:
self.req_client.set_input_mute("Mic/Aux", muted=True)
except obs.error.OBSSDKRequestError :
# In case there is no Mic/Aux input, this will throw an error
pass
def start_recording(self):
self.req_client.start_record()
def stop_recording(self):
self.req_client.stop_record()
self.req_client.set_current_profile(self.old_profile) # restore old profile
def pause_recording(self):
self.req_client.pause_record()
def resume_recording(self):
self.req_client.resume_record()
def _get_bitrate_mbps(width: int, height: int, fps=30) -> float:
"""
Gets the YouTube recommended bitrate in Mbps for a given resolution and framerate.
Refer to https://support.google.com/youtube/answer/1722171?hl=en#zippy=%2Cbitrate
"""
resolutions = {
(7680, 4320): {30: 120, 60: 180},
(3840, 2160): {30: 40, 60: 60.5},
(2160, 1440): {30: 16, 60: 24},
(1920, 1080): {30: 8, 60: 12},
(1280, 720): {30: 5, 60: 7.5},
(640, 480): {30: 2.5, 60: 4},
(480, 360): {30: 1, 60: 1.5}
}
if (width, height) in resolutions:
return resolutions[(width, height)].get(fps)
else:
# approximate the bitrate using a simple linear model
area = width * height
multiplier = 3.5982188179592543e-06 if fps == 30 else 5.396175171097084e-06
constant = 2.418399836285939 if fps == 30 else 3.742780056500365
return multiplier * area + constant
def _scale_resolution(base_width: int, base_height: int, target_width: int, target_height: int) -> tuple[int, int]:
target_area = target_width * target_height
aspect_ratio = base_width / base_height
scaled_height = int((target_area / aspect_ratio) ** 0.5)
scaled_width = int(aspect_ratio * scaled_height)
return scaled_width, scaled_height

188
annotation/ducktrack/playback.py
View File

@@ -1,188 +0,0 @@
import json
import math
import os
import sys
import time
import pyautogui
from pynput.keyboard import Controller as KeyboardController
from pynput.keyboard import Key
from pynput.mouse import Button
from pynput.mouse import Controller as MouseController
from .keycomb import KeyCombinationListener
from .util import (fix_windows_dpi_scaling, get_recordings_dir, name_to_button,
name_to_key)
pyautogui.PAUSE = 0
pyautogui.DARWIN_CATCH_UP_TIME = 0
class Player:
"""
Plays back recordings.
"""
def __init__(self):
self.stop_playback = False
self.listener = KeyCombinationListener()
def stop_comb_pressed():
self.stop_playback = True
return False
self.listener.add_comb(("shift", "esc"), stop_comb_pressed)
self.listener.start()
def play(self, recording_path: str):
with open(os.path.join(recording_path, "events.jsonl"), "r") as f:
events = [json.loads(line) for line in f.readlines()]
with open(os.path.join(recording_path, "metadata.json"), "r") as f:
metadata = json.load(f)
self.playback(events, metadata)
def playback(self, events: list[dict], metadata: dict):
if metadata["system"] == "Windows":
fix_windows_dpi_scaling()
mouse_controller = MouseController()
keyboard_controller = KeyboardController()
if not events:
self.listener.stop()
return
presses_to_skip = 0
releases_to_skip = 0
in_click_sequence = False
for i, event in enumerate(events):
start_time = time.perf_counter()
if self.stop_playback:
return
def do_mouse_press(button):
for j, second_event in enumerate(events[i+1:]):
# make sure the time between mouse clicks is less than 500ms
if second_event["time_stamp"] - event["time_stamp"] > 0.5:
break
if "x" in second_event and "y" in second_event:
# if the mouse moves out of the click radius/rectangle, it is not a click sequence
if math.sqrt((second_event["y"] - event["y"]) ** 2 +
(second_event["x"] - event["x"]) ** 2) > 4:
break
if second_event["action"] == "click" and second_event["pressed"]:
for k, third_event in enumerate(events[i+j+2:]):
if third_event["time_stamp"] - second_event["time_stamp"] > 0.5:
break
if "x" in third_event and "y" in third_event:
if math.sqrt((third_event["y"] - event["y"]) ** 2 +
(third_event["x"] - event["x"]) ** 2) > 5:
break
if third_event["action"] == "click" and third_event["pressed"]:
mouse_controller.click(button, 3)
return 2, 2
mouse_controller.click(button, 2)
return 1, 1
mouse_controller.press(button)
return 0, 0
if event["action"] == "move":
mouse_controller.position = (event["x"], event["y"])
elif event["action"] == "click":
button = name_to_button(event["button"])
if event["pressed"]:
if presses_to_skip == 0:
presses, releases = do_mouse_press(button)
presses_to_skip += presses
releases_to_skip += releases
if presses > 0:
in_click_sequence = True
else:
presses_to_skip -= 1
else:
if releases_to_skip == 0:
mouse_controller.release(button)
if in_click_sequence:
keyboard_controller.press(Key.shift)
mouse_controller.click(Button.left)
keyboard_controller.release(Key.shift)
in_click_sequence = False
else:
releases_to_skip -= 1
elif event["action"] == "scroll":
if metadata["system"] == "Windows":
# for some reason on windows, pynput scroll is correct but pyautogui is not
mouse_controller.scroll(metadata["scroll_direction"] * event["dx"], metadata["scroll_direction"] * event["dy"])
else:
pyautogui.hscroll(clicks=metadata["scroll_direction"] * event["dx"])
pyautogui.vscroll(clicks=metadata["scroll_direction"] * event["dy"])
elif event["action"] in ["press", "release"]:
key = name_to_key(event["name"])
if event["action"] == "press":
keyboard_controller.press(key)
else:
keyboard_controller.release(key)
# sleep for the correct amount of time
end_time = time.perf_counter()
execution_time = end_time - start_time
if i + 1 < len(events):
desired_delay = events[i + 1]["time_stamp"] - event["time_stamp"]
delay = desired_delay - execution_time
if delay < 0:
print(f"warning: behind by {-delay * 1000:.3f} ms")
elif delay != 0:
wait_until = time.perf_counter() + delay
while time.perf_counter() < wait_until:
pass
self.listener.stop()
def get_latest_recording() -> str:
recordings_dir = get_recordings_dir()
if not os.path.exists(recordings_dir):
raise Exception("The recordings directory does not exist")
recordings = [os.path.join(recordings_dir, f) for f in os.listdir(recordings_dir) if os.path.isdir(os.path.join(recordings_dir, f))]
if len(recordings) == 0:
raise Exception("You have no recordings to play back")
latest_recording = max(recordings, key=os.path.getctime)
return latest_recording
def main():
player = Player()
if len(sys.argv) > 1:
recording_path = sys.argv[1]
else:
recording_path = get_latest_recording()
player.play(recording_path)
if __name__ == "__main__":
n = 3
print("press shift+esc to stop the playback")
print(f"starting in {n} seconds...")
time.sleep(n)
main()

145
annotation/ducktrack/recorder.py
View File

@@ -1,145 +0,0 @@
import json
import os
import time
from datetime import datetime
from platform import system
from queue import Queue
from pynput import keyboard, mouse
from pynput.keyboard import KeyCode
from PyQt6.QtCore import QThread, pyqtSignal
from .metadata import MetadataManager
from .obs_client import OBSClient
from .util import fix_windows_dpi_scaling, get_recordings_dir
class Recorder(QThread):
"""
Makes recordings.
"""
recording_stopped = pyqtSignal()
def __init__(self, natural_scrolling: bool):
super().__init__()
if system() == "Windows":
fix_windows_dpi_scaling()
self.recording_path = self._get_recording_path()
self._is_recording = False
self._is_paused = False
self.event_queue = Queue()
self.events_file = open(os.path.join(self.recording_path, "events.jsonl"), "a")
self.metadata_manager = MetadataManager(
recording_path=self.recording_path,
natural_scrolling=natural_scrolling
)
self.obs_client = OBSClient(recording_path=self.recording_path,
metadata=self.metadata_manager.metadata)
self.mouse_listener = mouse.Listener(
on_move=self.on_move,
on_click=self.on_click,
on_scroll=self.on_scroll)
self.keyboard_listener = keyboard.Listener(
on_press=self.on_press,
on_release=self.on_release)
def on_move(self, x, y):
if not self._is_paused:
self.event_queue.put({"time_stamp": time.perf_counter(),
"action": "move",
"x": x,
"y": y}, block=False)
def on_click(self, x, y, button, pressed):
if not self._is_paused:
self.event_queue.put({"time_stamp": time.perf_counter(),
"action": "click",
"x": x,
"y": y,
"button": button.name,
"pressed": pressed}, block=False)
def on_scroll(self, x, y, dx, dy):
if not self._is_paused:
self.event_queue.put({"time_stamp": time.perf_counter(),
"action": "scroll",
"x": x,
"y": y,
"dx": dx,
"dy": dy}, block=False)
def on_press(self, key):
if not self._is_paused:
self.event_queue.put({"time_stamp": time.perf_counter(),
"action": "press",
"name": key.char if type(key) == KeyCode else key.name}, block=False)
def on_release(self, key):
if not self._is_paused:
self.event_queue.put({"time_stamp": time.perf_counter(),
"action": "release",
"name": key.char if type(key) == KeyCode else key.name}, block=False)
def run(self):
self._is_recording = True
self.metadata_manager.collect()
self.obs_client.start_recording()
self.mouse_listener.start()
self.keyboard_listener.start()
while self._is_recording:
event = self.event_queue.get()
self.events_file.write(json.dumps(event) + "\n")
def stop_recording(self):
if self._is_recording:
self._is_recording = False
self.metadata_manager.end_collect()
self.mouse_listener.stop()
self.keyboard_listener.stop()
self.obs_client.stop_recording()
self.metadata_manager.add_obs_record_state_timings(self.obs_client.record_state_events)
self.events_file.close()
self.metadata_manager.save_metadata()
self.recording_stopped.emit()
def pause_recording(self):
if not self._is_paused and self._is_recording:
self._is_paused = True
self.obs_client.pause_recording()
self.event_queue.put({"time_stamp": time.perf_counter(),
"action": "pause"}, block=False)
def resume_recording(self):
if self._is_paused and self._is_recording:
self._is_paused = False
self.obs_client.resume_recording()
self.event_queue.put({"time_stamp": time.perf_counter(),
"action": "resume"}, block=False)
def _get_recording_path(self) -> str:
recordings_dir = get_recordings_dir()
if not os.path.exists(recordings_dir):
os.mkdir(recordings_dir)
current_time = datetime.now().strftime("%Y-%m-%d_%H-%M-%S")
recording_path = os.path.join(recordings_dir, f"recording-{current_time}")
os.mkdir(recording_path)
return recording_path

38
annotation/ducktrack/util.py
View File

@@ -1,38 +0,0 @@
import os
import platform
import subprocess
from pathlib import Path
from pynput.keyboard import Key, KeyCode
from pynput.mouse import Button
def name_to_key(name: str) -> Key | KeyCode:
try:
return getattr(Key, name)
except AttributeError:
return KeyCode.from_char(name)
def name_to_button(name: str) -> Button:
return getattr(Button, name)
def get_recordings_dir() -> str:
documents_folder = Path.home() / 'Documents' / 'DuckTrack_Recordings'
return str(documents_folder)
def fix_windows_dpi_scaling():
"""
Fixes DPI scaling issues with legacy windows applications
Reference: https://pynput.readthedocs.io/en/latest/mouse.html#ensuring-consistent-coordinates-between-listener-and-controller-on-windows
"""
import ctypes
PROCESS_PER_MONITOR_DPI_AWARE = 2
ctypes.windll.shcore.SetProcessDpiAwareness(PROCESS_PER_MONITOR_DPI_AWARE)
def open_file(path):
if platform.system() == "Windows":
os.startfile(path)
elif platform.system() == "Darwin":
subprocess.Popen(["open", path])
else:
subprocess.Popen(["xdg-open", path])

48
annotation/experiments/delays/delay.py
View File

@@ -1,48 +0,0 @@
import glob
import matplotlib.pyplot as plt
import numpy as np
import seaborn as sns
from scipy.stats import sem, t
def calculate_confidence_interval(data, confidence=0.95):
n = len(data)
m = np.mean(data)
std_err = sem(data)
h = std_err * t.ppf((1 + confidence) / 2, n - 1)
return m, m-h, m+h
runs = glob.glob("run*.txt")
TOTAL_EVENTS = 22509
percent_delays = []
all_delays = []
for run in runs:
with open(run, "r") as f:
delays = [float(line.split()[3]) for line in f if float(line.split()[3]) > 0] # consider only positive delays
percent_delays.append((len(delays) / TOTAL_EVENTS) * 100)
all_delays.extend(delays)
average_percent_delays = np.mean(percent_delays)
confidence_interval_percent_delays = calculate_confidence_interval(percent_delays)
print(f"Average percentage of delayed events across all runs: {average_percent_delays:.2f}%")
print(f"95% Confidence interval: ({confidence_interval_percent_delays[1]:.2f}%, {confidence_interval_percent_delays[2]:.2f}%)")
if all_delays:
mean_delay = np.mean(all_delays)
confidence_interval_delays = calculate_confidence_interval(all_delays)
print(f"Mean delay time: {mean_delay:.2f}")
print(f"95% Confidence interval for delay time: ({confidence_interval_delays[1]:.2f}, {confidence_interval_delays[2]:.2f})")
else:
print("No delay data available for calculation.")
sns.histplot(all_delays, bins=30, kde=False)
plt.xlabel('Delay Time (ms)')
plt.ylabel('Frequency')
plt.yscale('log')
plt.title('Histogram of Delay Times (macOS)')
plt.savefig('delays.png', dpi=300)
plt.show()

110
annotation/experiments/drawing/drawing.py
View File

@@ -1,110 +0,0 @@
import glob
import os
import cv2
import matplotlib.pyplot as plt
import numpy as np
import scipy.stats as stats
from skimage.metrics import structural_similarity as ssim
from tqdm import tqdm
# use this: https://sketch.io
def calculate_rmse(imageA, imageB):
err = np.sum((imageA - imageB) ** 2)
err /= float(imageA.shape[0] * imageA.shape[1])
return np.sqrt(err)
def compare_images(ground_truth_path, sample_paths):
results = []
gt_image = cv2.imread(ground_truth_path, cv2.IMREAD_GRAYSCALE)
if gt_image is None:
raise ValueError("Ground truth image could not be read. Please check the file path.")
gt_image = gt_image.astype("float") / 255.0
for path in tqdm(sample_paths):
sample_image = cv2.imread(path, cv2.IMREAD_GRAYSCALE)
if sample_image is None:
print(f"WARNING: Sample image at path {path} could not be read. Skipping this image.")
continue
sample_image = sample_image.astype("float") / 255.0
rmse_value = calculate_rmse(gt_image, sample_image)
ssim_value, _ = ssim(gt_image, sample_image, full=True, data_range=1) # Corrected line
diff_mask = cv2.absdiff(gt_image, sample_image)
# plt.imshow(diff_mask * 255, cmap='gray')
# plt.title(f'Difference Mask for {os.path.basename(path)}\nRMSE: {rmse_value:.5f} - SSIM: {ssim_value:.5f}')
# plt.show()
results.append({
'path': path,
'rmse': rmse_value,
'ssim': ssim_value,
'diff_mask': diff_mask
})
return results
ground_truth = 'ground_truth.png'
sample_images = glob.glob("samples/*.png")
results = compare_images(ground_truth, sample_images)
for res in results:
print(f"Image: {res['path']} - RMSE: {res['rmse']} - SSIM: {res['ssim']}")
def calculate_confidence_interval(data, confidence_level=0.95):
mean = np.mean(data)
sem = stats.sem(data)
df = len(data) - 1
me = sem * stats.t.ppf((1 + confidence_level) / 2, df)
return mean - me, mean + me
rmse_values = [res['rmse'] for res in results]
ssim_values = [res['ssim'] for res in results]
rmse_mean = np.mean(rmse_values)
rmse_median = np.median(rmse_values)
rmse_stdev = np.std(rmse_values, ddof=1)
ssim_mean = np.mean(ssim_values)
ssim_median = np.median(ssim_values)
ssim_stdev = np.std(ssim_values, ddof=1)
rmse_ci = calculate_confidence_interval(rmse_values)
ssim_ci = calculate_confidence_interval(ssim_values)
print(f"\nRMSE - Mean: {rmse_mean}, Median: {rmse_median}, Std Dev: {rmse_stdev}, 95% CI: {rmse_ci}")
print(f"SSIM - Mean: {ssim_mean}, Median: {ssim_median}, Std Dev: {ssim_stdev}, 95% CI: {ssim_ci}")
print(f"RMSE: {rmse_mean} ± {rmse_ci[1] - rmse_mean}")
print(f"SSIM: {ssim_mean} ± {ssim_ci[1] - ssim_mean}")
def save_average_diff_map(results, save_path='average_diff_map.png'):
if not results:
print("No results available to create an average diff map.")
return
avg_diff_map = None
for res in results:
if avg_diff_map is None:
avg_diff_map = np.zeros_like(res['diff_mask'])
avg_diff_map += res['diff_mask']
avg_diff_map /= len(results)
avg_diff_map = (avg_diff_map * 255).astype(np.uint8)
cv2.imwrite(save_path, avg_diff_map)
# Usage
save_average_diff_map(results)

4
annotation/experiments/recaptcha/recaptcha.py
View File

@@ -1,4 +0,0 @@
success = 10
total = 10
print(success / total)

48
annotation/experiments/sleep_testing/calc_errors.py
View File

@@ -1,48 +0,0 @@
import csv
import time
import numpy as np
from tqdm import tqdm
def check_sleep(duration, sleep_function):
start = time.perf_counter()
sleep_function(duration)
end = time.perf_counter()
elapsed = end - start
return abs(elapsed - duration)
def busy_sleep(duration):
end_time = time.perf_counter() + duration
while time.perf_counter() < end_time:
pass
def measure_accuracy(sleep_function, durations, iterations=100):
average_errors = []
for duration in tqdm(durations):
errors = [check_sleep(duration, sleep_function) for _ in range(iterations)]
average_error = np.mean(errors)
average_errors.append(average_error)
return average_errors
durations = np.arange(0.001, 0.101, 0.001) # From 1ms to 100ms in 1ms increments
iterations = 100
sleep_errors = measure_accuracy(time.sleep, durations, iterations)
busy_sleep_errors = measure_accuracy(busy_sleep, durations, iterations)
def save_to_csv(filename, durations, sleep_errors, busy_sleep_errors):
with open(filename, 'w', newline='') as csvfile:
fieldnames = ['duration', 'sleep_error', 'busy_sleep_error']
writer = csv.DictWriter(csvfile, fieldnames=fieldnames)
writer.writeheader()
for duration, sleep_error, busy_sleep_error in zip(durations, sleep_errors, busy_sleep_errors):
writer.writerow({
'duration': duration,
'sleep_error': sleep_error,
'busy_sleep_error': busy_sleep_error
})
print("Data saved to", filename)
save_to_csv('sleep_data.csv', durations * 1000, np.array(sleep_errors) * 1000, np.array(busy_sleep_errors) * 1000)

33
annotation/experiments/sleep_testing/plot_errors.py
View File

@@ -1,33 +0,0 @@
import csv
import matplotlib.pyplot as plt
def plot_from_csv(filename, save_plot=False):
durations = []
sleep_errors = []
busy_sleep_errors = []
with open(filename, 'r') as csvfile:
reader = csv.DictReader(csvfile)
for row in reader:
durations.append(float(row['duration']))
sleep_errors.append(float(row['sleep_error']))
busy_sleep_errors.append(float(row['busy_sleep_error']))
plt.figure(figsize=(10, 5))
plt.plot(durations, sleep_errors, label='time.sleep()', marker='o')
plt.plot(durations, busy_sleep_errors, label='busy_sleep()', marker='x')
plt.xlabel('Desired Delay (ms)')
plt.ylabel('Average Error (ms)')
plt.title('Sleep Accuracy: time.sleep() vs Busy-Wait Loop (macOS)')
plt.legend()
plt.grid(True)
if save_plot:
plt.savefig('sleep_accuracy_plot.png', dpi=300)
print("Plot saved as sleep_accuracy_plot.png")
plt.show()
plot_from_csv('sleep_data.csv', save_plot=True)

110
annotation/experiments/stopwatch/stopwatch.py
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@@ -1,110 +0,0 @@
import glob
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import scipy.stats as stats
import seaborn as sns
# use this: https://www.estopwatch.net/
def read_file(file_path):
df = pd.read_csv(file_path)
df['Elapsed time'] = pd.to_datetime(df['Elapsed time'], errors='coerce')
return df
def analyze_new_error(run_df, groundtruth_df):
cumulative_errors = run_df['Elapsed time'] - groundtruth_df['Elapsed time']
cumulative_errors_in_seconds = cumulative_errors.dt.total_seconds()
new_errors_in_seconds = cumulative_errors_in_seconds.diff().fillna(cumulative_errors_in_seconds[0])
new_error_points = new_errors_in_seconds[new_errors_in_seconds != 0].index.tolist()
return new_errors_in_seconds[new_error_points]
def calculate_statistics(errors):
if len(errors) == 0:
return {
'mean_error': 0,
'median_error': 0,
'stddev_error': 0,
'rmse_error': 0,
'confidence_interval': (0, 0),
'error_frequency': 0
}
mean_error = np.mean(errors)
median_error = np.median(errors)
stddev_error = np.std(errors)
rmse_error = np.sqrt(np.mean(np.square(errors)))
ci_low, ci_high = stats.t.interval(
confidence=0.95,
df=len(errors) - 1,
loc=mean_error,
scale=stats.sem(errors) if len(errors) > 1 else 0
)
return {
'mean_error': mean_error,
'median_error': median_error,
'stddev_error': stddev_error,
'rmse_error': rmse_error,
'confidence_interval': (ci_low, ci_high),
}
def main():
groundtruth_file = 'groundtruth.csv'
run_files = glob.glob('runs/*.csv')
groundtruth_df = read_file(groundtruth_file)
run_dfs = {f'run{i+1}': read_file(file) for i, file in enumerate(run_files)}
total_errors = []
total_points = 0
all_errors = []
for run, df in run_dfs.items():
errors = analyze_new_error(df, groundtruth_df)
total_errors.extend(errors)
all_errors.extend(errors)
total_points += len(df)
results = calculate_statistics(errors)
error_frequency = len(errors) / len(df)
print(f"Results for {run}:")
print(f"Mean New Error: {results['mean_error']:.5f} seconds")
print(f"Median New Error: {results['median_error']:.5f} seconds")
print(f"Standard Deviation of New Error: {results['stddev_error']:.5f} seconds")
print(f"RMSE of New Error: {results['rmse_error']:.5f} seconds")
print(f"95% Confidence Interval of New Error: ({results['confidence_interval'][0]:.5f}, {results['confidence_interval'][1]:.5f}) seconds")
print(f"New Error Frequency: {error_frequency*100:.5f} %")
print('-----------------------------------------')
total_results = calculate_statistics(total_errors)
total_error_frequency = len(total_errors) / total_points
print("Total Statistics:")
print(f"Mean New Error: {total_results['mean_error']:.5f} seconds")
print(f"Median New Error: {total_results['median_error']:.5f} seconds")
print(f"Standard Deviation of New Error: {total_results['stddev_error']:.5f} seconds")
print(f"RMSE of New Error: {total_results['rmse_error']:.5f} seconds")
print(f"95% Confidence Interval of New Error: ({total_results['confidence_interval'][0]:.5f}, {total_results['confidence_interval'][1]:.5f}) seconds")
print(f"New Error Frequency: {total_error_frequency*100:.5f} %")
# do plus minus
print(f"New Error: {total_results['mean_error']:.5f} ± {total_results['confidence_interval'][1] - total_results['mean_error']:.5f} seconds")
plt.figure(figsize=(10, 5))
sns.histplot(all_errors, bins=12, kde=False)
plt.title('Distribution of Newly Introduced Errors (macOS)')
plt.xlabel('Error Duration (seconds)')
plt.ylabel('Frequency')
plt.savefig('error_dist', dpi=300)
plt.show()
if __name__ == "__main__":
main()

39
annotation/main.py
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@@ -1,39 +0,0 @@
import signal
import sys
import traceback
from PyQt6.QtWidgets import QApplication
from ducktrack import MainInterface
def main():
app = QApplication(sys.argv)
app.setQuitOnLastWindowClosed(False)
signal.signal(signal.SIGINT, signal.SIG_DFL)
interface = MainInterface(app)
interface.show()
# TODO: come up with a better error solution to this
original_excepthook = sys.excepthook
def handle_exception(exc_type, exc_value, exc_traceback):
print("Exception type:", exc_type)
print("Exception value:", exc_value)
trace_details = traceback.format_exception(exc_type, exc_value, exc_traceback)
trace_string = "".join(trace_details)
print("Exception traceback:", trace_string)
message = f"An error occurred!\n\n{exc_value}\n\n{trace_string}"
interface.display_error_message(message)
original_excepthook(exc_type, exc_value, exc_traceback)
sys.excepthook = handle_exception
sys.exit(app.exec())
if __name__ == "__main__":
main()

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9
annotation/requirements.txt
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@@ -1,9 +0,0 @@
git+https://github.com/moses-palmer/pynput.git@refs/pull/541/head # to make sure that it works on Apple Silicon
pyautogui
obsws-python
PyQt6
Pillow
screeninfo
wmi
psutil
pyinstaller

0
vscodeEvalExtension/README.md → desktop_env/README.md
View File

8
desktop_env/evaluators/README.md
View File

@@ -1,12 +1,16 @@
# Setup Instructions
# Evaluator Setup Details
Setup scaffolding for the evaluators in the desktop environment for those who want to know the details of the evaluator setup for customized evaluation and extension
## Overall
Disable the system crash report by:
Inside the virtual machine, disable the system crash report by:
```
sudo vim /etc/default/apport
```
and then change the `enabled` to `0`.
## VSCode
todo
## LibreOffice
For LibreOffice, please enter into the app first, and then enable the no pop-up when 'ctrl + s'.

153
desktop_env/evaluators/getters/chrome.py
View File

@@ -558,39 +558,54 @@ def get_active_url_from_accessTree(env, config):
Return
url: str
"""
accessibility_tree: str = env.controller.get_accessibility_tree()
# download accessibility tree to "/home/user/Desktop"
logger.debug("AT@eval: %s", accessibility_tree)
# first, use accessibility API to get the active tab URL
at: _Element = lxml.etree.fromstring(accessibility_tree)
arch = platform.machine()
print("Your architecture is: {}".format(arch))
try:
if "arm" in arch:
selector = CSSSelector("application[name=Chromium] entry[name=Address\\ and\\ search\\ bar]",
namespaces=_accessibility_ns_map)
else:
selector = CSSSelector("application[name=Google\\ Chrome] entry[name=Address\\ and\\ search\\ bar]",
namespaces=_accessibility_ns_map)
except:
logger.error("Failed to parse the selector for active tab URL")
return None
elements: List[_Element] = selector(at)
# if "xpath" in config:
# elements: List[_Element] = at.xpath(config["xpath"], namespaces=_accessibility_ns_map)
# elif "selectors" in config:
# selector = CSSSelector(", ".join(config["selectors"]), namespaces=_accessibility_ns_map)
# elements: List[_Element] = selector(at)
if len(elements) == 0:
print("no elements found")
return None
elif elements[-1].text is None:
print("no text found")
# Ensure the controller and its method are accessible and return a valid result
if hasattr(env, 'controller') and callable(getattr(env.controller, 'get_accessibility_tree', None)):
accessibility_tree = env.controller.get_accessibility_tree()
if accessibility_tree is None:
print("Failed to get the accessibility tree.")
return None
else:
print("Controller or method 'get_accessibility_tree' not found.")
return None
active_tab_url = config["goto_prefix"] + elements[0].text if "goto_prefix" in config.keys() else "https://" + \
elements[0].text
print("active tab url now: {}".format(active_tab_url))
logger.debug("AT@eval: %s", accessibility_tree)
at = None
try:
at = lxml.etree.fromstring(accessibility_tree)
except ValueError as e:
logger.error(f"Error parsing accessibility tree: {e}")
return None
# Determine the correct selector based on system architecture
selector = None
arch = platform.machine()
print(f"Your architecture is: {arch}")
if "arm" in arch:
selector_string = "application[name=Chromium] entry[name=Address\\ and\\ search\\ bar]"
else:
selector_string = "application[name=Google\\ Chrome] entry[name=Address\\ and\\ search\\ bar]"
try:
selector = CSSSelector(selector_string, namespaces=_accessibility_ns_map)
except Exception as e:
logger.error(f"Failed to parse the selector for active tab URL: {e}")
return None
elements = selector(at) if selector else []
if not elements:
print("No elements found.")
return None
elif not elements[-1].text:
print("No text found in the latest element.")
return None
# Use a default prefix if 'goto_prefix' is not specified in the config
goto_prefix = config.get("goto_prefix", "https://")
active_tab_url = f"{goto_prefix}{elements[0].text}"
print(f"Active tab url now: {active_tab_url}")
return active_tab_url
@@ -1079,18 +1094,18 @@ def get_data_delete_automacally(env, config: Dict[str, str]):
def get_active_tab_html_parse(env, config: Dict[str, Any]):
"""
This function is used to get the specific element's text content from the active tab's html.
config:
config:
Dict[str, str]{
# Keys used in get_active_url_from_accessTree: "xpath", "selectors"
'category':
'category':
choose from ["class", "label", "xpath", "input"], used to indicate how to find the element
'labelObject':
'labelObject':
only exists when category is "label",
a dict like { "labelSelector": "the key you want to store the text content of this label's ee=lement"}
'class_singleObject':
only exists when category is "class", a dict with keys as the class name,
'class_singleObject':
only exists when category is "class", a dict with keys as the class name,
like { "class name" : "the key you want to store the text content of this element" }
'class_multiObject':
'class_multiObject':
only exists when category is "class", used for elements with same class name.
Two layer of dict, like
( {
@@ -1099,8 +1114,8 @@ def get_active_tab_html_parse(env, config: Dict[str, Any]):
...
}
} )
'xpathObject':
only exists when category is "xpath", a dict with keys as the xpath,
'xpathObject':
only exists when category is "xpath", a dict with keys as the xpath,
like { "full xpath" : "the key you want to store the text content of this element" }
'inputObject':
only exists when category is "input",
@@ -1151,32 +1166,50 @@ def get_active_tab_html_parse(env, config: Dict[str, Any]):
if target_page is None:
logger.error("Your tab is not the target tab.")
return {}
return_json = {}
def safely_get_text_content(selector):
elements = target_page.query_selector_all(selector)
return [element.text_content().strip() for element in elements if element]
if config["category"] == "class":
# find the text of elements in html with specific class name
class_multiObject = config["class_multiObject"]
for key in class_multiObject.keys():
object_dict = class_multiObject[key]
for order_key in object_dict.keys():
return_json[object_dict[order_key]] = target_page.query_selector_all("." + key)[
int(order_key)].text_content().strip()
class_singleObject = config["class_singleObject"]
for key in class_singleObject.keys():
return_json[class_singleObject[key]] = target_page.query_selector("." + key).text_content().strip()
class_multiObject = config.get("class_multiObject", {})
for class_name, object_dict in class_multiObject.items():
elements_texts = safely_get_text_content("." + class_name)
for order_key, key in object_dict.items():
index = int(order_key)
if len(elements_texts) > index:
return_json[key] = elements_texts[index]
class_singleObject = config.get("class_singleObject", {})
for class_name, key in class_singleObject.items():
element_text = safely_get_text_content("." + class_name)
if element_text:
return_json[key] = element_text[0]
elif config['category'] == "label":
# find the text of elements in html with specific label name
labelObject = config["labelObject"]
for key in labelObject.keys():
return_json[labelObject[key]] = target_page.get_by_label(key).text_content().strip()
# Assuming get_by_label is a custom function or part of the framework being used
labelObject = config.get("labelObject", {})
for labelSelector, key in labelObject.items():
text = target_page.locator(f"text={labelSelector}").first.text_content().strip()
if text:
return_json[key] = text
elif config["category"] == "xpath":
# find the text of elements in html with specific xpath
xpathObject = config["xpathObject"]
for key in xpathObject.keys():
return_json[xpathObject[key]] = target_page.locator("xpath=" + key).text_content().strip()
xpathObject = config.get("xpathObject", {})
for xpath, key in xpathObject.items():
elements = target_page.locator(f"xpath={xpath}")
if elements.count() > 0:
return_json[key] = elements.first.text_content().strip()
elif config["category"] == "input":
inputObject = config["inputObject"]
for key in inputObject.keys():
return_json[inputObject[key]] = target_page.locator("xpath=" + key).input_value().strip()
inputObjects = config.get("inputObject", {})
for xpath, key in inputObjects.items():
inputs = target_page.locator(f"xpath={xpath}")
if inputs.count() > 0:
return_json[key] = inputs.first.input_value().strip()
browser.close()
return return_json

4
desktop_env/evaluators/metrics/docs.py
View File

@@ -6,6 +6,7 @@ import zipfile
from io import BytesIO
from typing import List, Dict, Any
import easyocr
from PIL import Image
from docx import Document
from docx.enum.text import WD_PARAGRAPH_ALIGNMENT, WD_TAB_ALIGNMENT
@@ -247,8 +248,9 @@ def compare_docx_images(docx_file1, docx_file2):
return 1
import easyocr
def compare_image_text(image_path, rule):
if not image_path:
return 0
reader = easyocr.Reader(['en'])
result = reader.readtext(image_path)
extracted_text = ' '.join([entry[1] for entry in result])

18
desktop_env/evaluators/metrics/general.py
View File

@@ -20,7 +20,7 @@ from lxml.cssselect import CSSSelector
from lxml.etree import _Element
from rapidfuzz import fuzz
from .utils import _match_record, _match_value_to_rule
from desktop_env.evaluators.metrics.utils import _match_record, _match_value_to_rule
logger = logging.getLogger("desktopenv.metric.general")
@@ -321,11 +321,11 @@ def check_direct_json_object(result, rules) -> float:
expected_json = rules["expected"]
for key in expected_json.keys():
if isinstance(expected_json.get(key), List):
if isinstance(expected_json.get(key), list):
flag = 0
expected_value_list = expected_json.get(key)
for each_expected_value in expected_value_list:
if each_expected_value in result.get(key):
if isinstance(result.get(key), list) and each_expected_value in result.get(key):
flag = 1
break
if flag == 0:
@@ -484,3 +484,15 @@ def compare_python_pure_text(py_file_path, gold_file_path):
return 1
else:
return 0
if __name__ == '__main__':
print(check_direct_json_object([], rules={
"relativeTime": {
"from": "5th next month"
},
"expected": {
"start": "SEA",
"end": "NYC",
"time": "{DoW}, {Month} {DayD}, {Year}",
"category": "Miles"
}}))

65
mm_agents/README.md Normal file
View File

@@ -0,0 +1,65 @@
# Agent
## Prompt-based Agents
### Supported Models
We currently support the following models as the foundation models for the agents:
- `GPT-3.5` (gpt-3.5-turbo-16k, ...)
- `GPT-4` (gpt-4-0125-preview, gpt-4-1106-preview, ...)
- `GPT-4V` (gpt-4-vision-preview, ...)
- `Gemini-Pro`
- `Gemini-Pro-Vision`
- `Claude-3, 2` (claude-3-haiku-2024030, claude-3-sonnet-2024022, ...)
- ...
And those from open-source community:
- `Mixtral 8x7B`
- `QWEN`, `QWEN-VL`
- `CogAgent`
- ...
And we will integrate and support more foundation models to support digital agent in the future, stay tuned.
### How to use
```python
from mm_agents.agent import PromptAgent
agent = PromptAgent(
model="gpt-4-0125-preview",
observation_type="screenshot",
)
agent.reset()
# say we have a instruction and observation
instruction = "Please help me to find the nearest restaurant."
obs = {"screenshot": "path/to/observation.jpg"}
response, actions = agent.predict(
instruction,
obs
)
```
### Observation Space and Action Space
We currently support the following observation spaces:
- `a11y_tree`: the a11y tree of the current screen
- `screenshot`: a screenshot of the current screen
- `screenshot_a11y_tree`: a screenshot of the current screen with a11y tree
- `som`: the set-of-mark trick on the current screen, with a table metadata
And the following action spaces:
- `pyautogui`: valid python code with `pyauotgui` code valid
- `computer_13`: a set of enumerated actions designed by us
To use feed an observation into the agent, you have to keep the obs variable as a dict with the corresponding information:
```python
obs = {
"screenshot": "path/to/observation.jpg",
"a11y_tree": "" # [a11y_tree data]
}
response, actions = agent.predict(
instruction,
obs
)
```
## Efficient Agents, Q* Agents, and more
Stay tuned for more updates.

67
mm_agents/agent.py
View File

@@ -180,6 +180,7 @@ def trim_accessibility_tree(linearized_accessibility_tree, max_tokens):
linearized_accessibility_tree += "[...]\n"
return linearized_accessibility_tree
class PromptAgent:
def __init__(
self,
@@ -572,22 +573,10 @@ class PromptAgent:
logger.debug("CLAUDE MESSAGE: %s", repr(claude_messages))
# headers = {
# "x-api-key": os.environ["ANTHROPIC_API_KEY"],
# "anthropic-version": "2023-06-01",
# "content-type": "application/json"
# }
# headers = {
# "Accept": "application / json",
# "Authorization": "Bearer " + os.environ["ANTHROPIC_API_KEY"],
# "User-Agent": "Apifox/1.0.0 (https://apifox.com)",
# "Content-Type": "application/json"
# }
headers = {
"Authorization": os.environ["ANTHROPIC_API_KEY"],
"Content-Type": "application/json"
"x-api-key": os.environ["ANTHROPIC_API_KEY"],
"anthropic-version": "2023-06-01",
"content-type": "application/json"
}
payload = {
@@ -598,28 +587,21 @@ class PromptAgent:
"top_p": top_p
}
max_attempts = 20
attempt = 0
while attempt < max_attempts:
# response = requests.post("https://api.aigcbest.top/v1/chat/completions", headers=headers, json=payload)
response = requests.post("https://token.cluade-chat.top/v1/chat/completions", headers=headers,
json=payload)
if response.status_code == 200:
result = response.json()['choices'][0]['message']['content']
break
else:
logger.error(f"Failed to call LLM: {response.text}")
time.sleep(10)
attempt += 1
response = requests.post(
"https://api.anthropic.com/v1/messages",
headers=headers,
json=payload
)
if response.status_code != 200:
logger.error("Failed to call LLM: " + response.text)
time.sleep(5)
return ""
else:
print("Exceeded maximum attempts to call LLM.")
result = ""
return result
return response.json()['content'][0]['text']
elif self.model.startswith("mistral"):
print("Call mistral")
messages = payload["messages"]
max_tokens = payload["max_tokens"]
top_p = payload["top_p"]
@@ -652,7 +634,9 @@ class PromptAgent:
response = client.chat.completions.create(
messages=mistral_messages,
model=self.model,
max_tokens=max_tokens
max_tokens=max_tokens,
top_p=top_p,
temperature=temperature
)
break
except:
@@ -670,7 +654,6 @@ class PromptAgent:
elif self.model.startswith("THUDM"):
# THUDM/cogagent-chat-hf
print("Call CogAgent")
messages = payload["messages"]
max_tokens = payload["max_tokens"]
top_p = payload["top_p"]
@@ -703,7 +686,9 @@ class PromptAgent:
payload = {
"model": self.model,
"max_tokens": max_tokens,
"messages": cog_messages
"messages": cog_messages,
"temperature": temperature,
"top_p": top_p
}
base_url = "http://127.0.0.1:8000"
@@ -717,7 +702,6 @@ class PromptAgent:
print("Failed to call LLM: ", response.status_code)
return ""
elif self.model.startswith("gemini"):
def encoded_img_to_pil_img(data_str):
base64_str = data_str.replace("data:image/png;base64,", "")
@@ -802,7 +786,8 @@ class PromptAgent:
messages = payload["messages"]
max_tokens = payload["max_tokens"]
top_p = payload["top_p"]
temperature = payload["temperature"]
if payload["temperature"]:
logger.warning("Qwen model does not support temperature parameter, it will be ignored.")
qwen_messages = []
@@ -821,7 +806,9 @@ class PromptAgent:
response = dashscope.MultiModalConversation.call(
model='qwen-vl-plus',
messages=messages, # todo: add the hyperparameters
messages=messages,
max_length=max_tokens,
top_p=top_p,
)
# The response status_code is HTTPStatus.OK indicate success,
# otherwise indicate request is failed, you can get error code

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269
mm_agents/prompts.py
View File

@@ -19,6 +19,28 @@ My computer's password is 'password', feel free to use it when you need sudo rig
First give the current screenshot and previous things we did a short reflection, then RETURN ME THE CODE OR SPECIAL CODE I ASKED FOR. NEVER EVER RETURN ME ANYTHING ELSE.
""".strip()
SYS_PROMPT_IN_SCREENSHOT_OUT_CODE_FEW_SHOT = """
You are an agent which follow my instruction and perform desktop computer tasks as instructed.
You have good knowledge of computer and good internet connection and assume your code will run on a computer for controlling the mouse and keyboard.
For each step, you will get an observation of an image, which is the screenshot of the computer screen and the instruction and you will predict the next action to operate on the computer based on the image.
You are required to use `pyautogui` to perform the action grounded to the observation, but DONOT use the `pyautogui.locateCenterOnScreen` function to locate the element you want to operate with since we have no image of the element you want to operate with. DONOT USE `pyautogui.screenshot()` to make screenshot.
Return one line or multiple lines of python code to perform the action each time, be time efficient. When predicting multiple lines of code, make some small sleep like `time.sleep(0.5);` interval so that the machine could take; Each time you need to predict a complete code, no variables or function can be shared from history
You need to to specify the coordinates of by yourself based on your observation of current observation, but you should be careful to ensure that the coordinates are correct.
You ONLY need to return the code inside a code block, like this:
```python
# your code here
```
Specially, it is also allowed to return the following special code:
When you think you have to wait for some time, return ```WAIT```;
When you think the task can not be done, return ```FAIL```, don't easily say ```FAIL```, try your best to do the task;
When you think the task is done, return ```DONE```.
My computer's password is 'password', feel free to use it when you need sudo rights.
Our past communication is great, and what you have done is very helpful. I will now give you another task to complete.
First take a deep breath, think step by step, give the current screenshot a thinking, then RETURN ME THE CODE OR SPECIAL CODE I ASKED FOR. NEVER EVER RETURN ME ANYTHING ELSE.
""".strip()
SYS_PROMPT_IN_SCREENSHOT_OUT_ACTION = """
You will act as an agent which follow my instruction and perform desktop computer tasks as instructed. You must have good knowledge of computer and good internet connection.
For each step, you will get an observation of an image, which is the screenshot of the computer screen. And you will predict the action of the computer based on the image.
@@ -264,6 +286,253 @@ You MUST choose and ONLY CHOOSE from the action space above, otherwise your acti
You CAN predict multiple actions at one step, but you should only return one action for each step.
""".strip()
SYS_PROMPT_IN_SCREENSHOT_OUT_ACTION_FEW_SHOT = """
You will act as an agent which follow my instruction and perform desktop computer tasks as instructed. You must have good knowledge of computer and good internet connection.
For each step, you will get an observation of an image, which is the screenshot of the computer screen and a task instruction. And you will predict the action of the computer based on the image.
HERE is the description of the action space you need to predict, follow the format and choose the correct action type and parameters:
ACTION_SPACE = [
{
"action_type": "MOVE_TO",
"note": "move the cursor to the specified position",
"parameters": {
"x": {
"type": float,
"range": [0, X_MAX],
"optional": False,
},
"y": {
"type": float,
"range": [0, Y_MAX],
"optional": False,
}
}
},
{
"action_type": "CLICK",
"note": "click the left button if the button not specified, otherwise click the specified button; click at the current position if x and y are not specified, otherwise click at the specified position",
"parameters": {
"button": {
"type": str,
"range": ["left", "right", "middle"],
"optional": True,
},
"x": {
"type": float,
"range": [0, X_MAX],
"optional": True,
},
"y": {
"type": float,
"range": [0, Y_MAX],
"optional": True,
},
"num_clicks": {
"type": int,
"range": [1, 2, 3],
"optional": True,
},
}
},
{
"action_type": "MOUSE_DOWN",
"note": "press the left button if the button not specified, otherwise press the specified button",
"parameters": {
"button": {
"type": str,
"range": ["left", "right", "middle"],
"optional": True,
}
}
},
{
"action_type": "MOUSE_UP",
"note": "release the left button if the button not specified, otherwise release the specified button",
"parameters": {
"button": {
"type": str,
"range": ["left", "right", "middle"],
"optional": True,
}
}
},
{
"action_type": "RIGHT_CLICK",
"note": "right click at the current position if x and y are not specified, otherwise right click at the specified position",
"parameters": {
"x": {
"type": float,
"range": [0, X_MAX],
"optional": True,
},
"y": {
"type": float,
"range": [0, Y_MAX],
"optional": True,
}
}
},
{
"action_type": "DOUBLE_CLICK",
"note": "double click at the current position if x and y are not specified, otherwise double click at the specified position",
"parameters": {
"x": {
"type": float,
"range": [0, X_MAX],
"optional": True,
},
"y": {
"type": float,
"range": [0, Y_MAX],
"optional": True,
}
}
},
{
"action_type": "DRAG_TO",
"note": "drag the cursor to the specified position with the left button pressed",
"parameters": {
"x": {
"type": float,
"range": [0, X_MAX],
"optional": False,
},
"y": {
"type": float,
"range": [0, Y_MAX],
"optional": False,
}
}
},
{
"action_type": "SCROLL",
"note": "scroll the mouse wheel up or down",
"parameters": {
"dx": {
"type": int,
"range": None,
"optional": False,
},
"dy": {
"type": int,
"range": None,
"optional": False,
}
}
},
{
"action_type": "TYPING",
"note": "type the specified text",
"parameters": {
"text": {
"type": str,
"range": None,
"optional": False,
}
}
},
{
"action_type": "PRESS",
"note": "press the specified key and release it",
"parameters": {
"key": {
"type": str,
"range": KEYBOARD_KEYS,
"optional": False,
}
}
},
{
"action_type": "KEY_DOWN",
"note": "press the specified key",
"parameters": {
"key": {
"type": str,
"range": KEYBOARD_KEYS,
"optional": False,
}
}
},
{
"action_type": "KEY_UP",
"note": "release the specified key",
"parameters": {
"key": {
"type": str,
"range": KEYBOARD_KEYS,
"optional": False,
}
}
},
{
"action_type": "HOTKEY",
"note": "press the specified key combination",
"parameters": {
"keys": {
"type": list,
"range": [KEYBOARD_KEYS],
"optional": False,
}
}
},
############################################################################################################
{
"action_type": "WAIT",
"note": "wait until the next action",
},
{
"action_type": "FAIL",
"note": "decide the task can not be performed",
},
{
"action_type": "DONE",
"note": "decide the task is done",
}
]
Firstly you need to predict the class of your action, then you need to predict the parameters of your action:
- For MOUSE_MOVE, you need to predict the x and y coordinate of the mouse cursor, the left top corner of the screen is (0, 0), the right bottom corner of the screen is (1920, 1080)
for example, format as:
```
{
"action_type": "MOUSE_MOVE",
"x": 1319.11,
"y": 65.06
}
```
- For [CLICK, MOUSE_DOWN, MOUSE_UP], you need to specify the click_type as well, select from [LEFT, MIDDLE, RIGHT, WHEEL_UP, WHEEL_DOWN], which means you click the left button, middle button, right button, wheel up or wheel down of your mouse:
for example, format as:
```
{
"action_type": "CLICK",
"click_type": "LEFT"
}
```
- For [KEY, KEY_DOWN, KEY_UP], you need to choose a(multiple) key(s) from the keyboard
for example, format as:
```
{
"action_type": "KEY",
"key": "ctrl+c"
}
```
- For TYPE, you need to specify the text you want to type
for example, format as:
```
{
"action_type": "TYPE",
"text": "hello world"
}
```
REMEMBER:
For every step, you should only RETURN ME THE action_type AND parameters I ASKED FOR. NEVER EVER RETURN ME ANYTHING ELSE.
You MUST wrap the dict with backticks (\`).
You MUST choose and ONLY CHOOSE from the action space above, otherwise your action will be considered as invalid and you will get a penalty.
You CAN predict multiple actions at one step, but you should only return one action for each step.
Our past communication is great, and what you have done is very helpful. I will now give you another task to complete.
""".strip()
SYS_PROMPT_IN_A11Y_OUT_CODE = """
You are an agent which follow my instruction and perform desktop computer tasks as instructed.
You have good knowledge of computer and good internet connection and assume your code will run on a computer for controlling the mouse and keyboard.

1
requirements.txt
View File

@@ -50,3 +50,4 @@ pypdf2
pdfplumber
wandb
wrapt_timeout_decorator
gdown

3
resouce_collection/README.md
View File

@@ -1,3 +0,0 @@
# Resource Collection
Manually gain some insights, then scale with careful code.

28
resouce_collection/Reddit/vscode/get_vscode.py
View File

@@ -1,28 +0,0 @@
import praw
def search_reddit(keyword, subreddit, client_id, client_secret, user_agent, limit=10000):
# Initialize PRAW with your Reddit application credentials
reddit = praw.Reddit(client_id=client_id,
client_secret=client_secret,
user_agent=user_agent)
# Search the specified subreddit for the keyword
results = reddit.subreddit(subreddit).search(keyword, limit=limit)
for post in results:
print(f"Title: {post.title}")
print(f"URL: {post.url}")
print(f"Score: {post.score}")
print(f"Comments: {post.num_comments}")
print("------------------------")
# Example usage
if __name__ == "__main__":
CLIENT_ID = 'YOUR_CLIENT_ID'
CLIENT_SECRET = 'YOUR_CLIENT_SECRET'
USER_AGENT = 'my_reddit_scraper'
keyword = "how to"
subreddit = "vscode"
search_reddit(keyword, subreddit, CLIENT_ID, CLIENT_SECRET, USER_AGENT)

1227
resouce_collection/Reddit/vscode/result.txt
View File

File diff suppressed because it is too large Load Diff

268
resouce_collection/Source2Doc/Get_Source_Doc - Sheet1.csv
View File

@@ -1,268 +0,0 @@
id,Source,InvolvedApp
94d95f96-9699-4208-98ba-3c3119edf9c2,https://help.ubuntu.com/lts/ubuntu-help/addremove-install.html.en,OS
bedcedc4-4d72-425e-ad62-21960b11fe0d,https://www.youtube.com/watch?v=D4WyNjt_hbQ&t=2s,OS
43c2d64c-bab5-4dcb-a30c-b888321c319a,https://ubuntu.com/tutorials/command-line-for-beginners#4-creating-folders-and-files,OS
7688b85f-87a4-4e4a-b2f8-f3d6c3f29b82,https://ubuntu.com/tutorials/command-line-for-beginners#5-moving-and-manipulating-files,OS
ec4e3f68-9ea4-4c18-a5c9-69f89d1178b3,https://www.youtube.com/watch?v=D4WyNjt_hbQ&t=2s,OS
a462a795-fdc7-4b23-b689-e8b6df786b78,https://help.ubuntu.com/lts/ubuntu-help/shell-exit.html.en,OS
f9be0997-4b7c-45c5-b05c-4612b44a6118,https://help.ubuntu.com/lts/ubuntu-help/shell-notifications.html.en,OS
ae039631-2b12-4637-84f6-c67d51511be3,https://help.ubuntu.com/lts/ubuntu-help/net-default-browser.html.en,OS
e2eb4bf1-aa93-4192-b55d-03e2fb6dfd15,https://help.ubuntu.com/lts/ubuntu-help/contacts-add-remove.html.en,OS
28cc3b7e-b194-4bc9-8353-d04c0f4d56d2,https://help.ubuntu.com/lts/ubuntu-help/sound-volume.html.en,OS
5ea617a3-0e86-4ba6-aab2-dac9aa2e8d57,https://help.ubuntu.com/lts/ubuntu-help/files-recover.html.en,OS
e0df059f-28a6-4169-924f-b9623e7184cc,https://help.ubuntu.com/lts/ubuntu-help/files-rename.html.en,OS
ddc75b62-7311-4af8-bfb3-859558542b36,https://help.ubuntu.com/lts/ubuntu-help/addremove-remove.html.en,OS
5c433d22-ed9a-4e31-91f5-54cf3e8acd63,https://help.ubuntu.com/lts/ubuntu-help/session-language.html.zh-CN,OS
b6781586-6346-41cd-935a-a6b1487918fc,https://help.ubuntu.com/lts/ubuntu-help/clock-timezone.html.en,OS
b3d4a89c-53f2-4d6b-8b6a-541fb5d205fa,https://help.ubuntu.com/lts/ubuntu-help/bluetooth-turn-on-off.html.en,OS
3ce045a0-877b-42aa-8d2c-b4a863336ab8,https://help.ubuntu.com/lts/ubuntu-help/a11y-font-size.html.en,OS
fe41f596-a71b-4c2f-9b2f-9dcd40b568c3,https://help.ubuntu.com/lts/ubuntu-help/power-percentage.html.en,OS
a4d98375-215b-4a4d-aee9-3d4370fccc41,https://help.ubuntu.com/lts/ubuntu-help/privacy-screen-lock.html.en,OS
765d2b74-88a7-4d50-bf51-34e4106fd24a,https://help.ubuntu.com/lts/ubuntu-help/files-delete.html.en,OS
cc9d4f34-1ca0-4a1b-8ff2-09302696acb9,https://superuser.com/questions/178587/how-do-i-detach-a-process-from-terminal-entirely,OS
5812b315-e7bd-4265-b51f-863c02174c28,https://superuser.com/questions/149404/create-an-ssh-user-who-only-has-permission-to-access-specific-folders,OS
c56de254-a3ec-414e-81a6-83d2ce8c41fa,https://superuser.com/questions/28426/how-to-extract-text-with-ocr-from-a-pdf-on-linux,OS
6ebbfb01-ea72-4226-a2a6-dc428e111ed2,https://superuser.com/questions/46748/how-do-i-make-bash-my-default-shell-on-ubuntu,OS
4d2b519e-e872-4100-8ea3-fe71ab0f9133,https://stackoverflow.com/questions/11530090/adding-a-new-entry-to-the-path-variable-in-zsh,OS
c288e301-e626-4b98-a1ab-159dcb162af5,https://stackoverflow.com/questions/41986507/unable-to-set-default-python-version-to-python3-in-ubuntu,OS
13584542-872b-42d8-b299-866967b5c3ef,https://superuser.com/questions/72176/linux-set-default-terminal-size-and-screen-position,OS
23393935-50c7-4a86-aeea-2b78fd089c5c,https://superuser.com/questions/91307/copying-only-jpg-from-a-directory-structure-to-another-location-linux,OS
f10b16e1-c160-4cb3-989f-7b2ec89bc073,https://www.wikihow.com/Install-Gnome-on-Ubuntu,OS
eb03d19a-b88d-4de4-8a64-ca0ac66f426b,https://www.youtube.com/shorts/t9JLUaT55UQ,MS Excel
0bf05a7d-b28b-44d2-955a-50b41e24012a,https://www.youtube.com/shorts/FPAQaDTS8VY,MS Excel
7b802dad-6e0f-4204-9815-d4e3f57627d8,https://www.youtube.com/shorts/Of-lzeP1usE,MS Excel
7a4e4bc8-922c-4c84-865c-25ba34136be1,https://www.youtube.com/shorts/bvUhr1AHs44,MS Excel
2bd59342-0664-4ccb-ba87-79379096cc08,https://www.youtube.com/shorts/L3Z-F1QTQFY,MS Excel
a9f325aa-8c05-4e4f-8341-9e4358565f4f,https://www.youtube.com/shorts/A0gmEBRKXWs,MS Excel
ecb0df7a-4e8d-4a03-b162-053391d3afaf,https://www.youtube.com/shorts/tXOovKn0H68,MS Excel
7efeb4b1-3d19-4762-b163-63328d66303b,https://www.youtube.com/shorts/4jzXfZNhfmk,MS Excel
4e6fcf72-daf3-439f-a232-c434ce416af6,https://www.youtube.com/shorts/0uxJccNCKcE,MS Excel
6054afcb-5bab-4702-90a0-b259b5d3217c,https://www.youtube.com/shorts/JTbZ8sRxkdU,MS Excel
abed40dc-063f-4598-8ba5-9fe749c0615d,https://www.youtube.com/shorts/xgf4ZpsEx5M,MS Excel
01b269ae-2111-4a07-81fd-3fcd711993b0,https://www.youtube.com/shorts/VrUzPTIwQ04,MS Excel
8b1ce5f2-59d2-4dcc-b0b0-666a714b9a14,https://www.youtube.com/shorts/Hbcwu6IQ1ns,MS Excel
af2b02f7-acee-4be4-8b66-499fab394915,https://www.youtube.com/shorts/AwKsb5VmtBI,MS Excel
da1d63b8-fa12-417b-ba18-f748e5f770f3,https://www.youtube.com/shorts/hquscnbz2-U,MS Excel
636380ea-d5f6-4474-b6ca-b2ed578a20f1,https://www.youtube.com/shorts/_BYL6VOHLGw,"MS Excel, Edge"
5ba77536-05c5-4aae-a9ff-6e298d094c3e,https://www.youtube.com/shorts/CuBC1evUS5I,MS Excel
4bc4eaf4-ca5e-4db2-8138-8d4e65af7c0b,https://www.youtube.com/shorts/1adQWfjN-tI,MS Excel
672a1b02-c62f-4ae2-acf0-37f5fb3052b0,https://www.youtube.com/shorts/2rhdQXI4Lng,MS Excel
648fe544-16ba-44af-a587-12ccbe280ea6,https://www.youtube.com/shorts/sOPBMWaC6Uc,MS Excel
8985d1e4-5b99-4711-add4-88949ebb2308,https://www.youtube.com/shorts/J5ts2Acv9Pc,MS Excel
9e606842-2e27-43bf-b1d1-b43289c9589b,https://www.youtube.com/shorts/B-mGYDFOyUs,MS Excel
fcb6e45b-25c4-4087-9483-03d714f473a9,https://www.youtube.com/shorts/GZipp7nOZS0,MS Excel
68c0c5b7-96f3-4e87-92a7-6c1b967fd2d2,https://www.youtube.com/shorts/JEH5TsK-cCk,"MS Excel, Edge"
fff629ea-046e-4793-8eec-1a5a15c3eb35,https://www.youtube.com/shorts/8WybtCdUT6w,MS Excel
5c9a206c-bb00-4fb6-bb46-ee675c187df5,https://www.youtube.com/shorts/VbQtMNnq9i4,MS Excel
e975ae74-79bd-4672-8d1c-dc841a85781d,https://www.youtube.com/shorts/GjT7gGe5Sr8,MS Excel
34a6938a-58da-4897-8639-9b90d6db5391,https://www.youtube.com/shorts/gW37x2TkzOY,MS Excel
b5a22759-b4eb-4bf2-aeed-ad14e8615f19,https://www.youtube.com/shorts/3xLa-D0C7Ic,MS Excel
2f9913a1-51ed-4db6-bfe0-7e1c95b3139e,https://www.youtube.com/shorts/dGLRcmfVO6Q,MS Excel
2558031e-401d-4579-8e00-3ecf540fb492,https://www.mrexcel.com/board/threads/sales-for-the-first-6-weeks.1249213/,MS Excel
39aa4e37-dc91-482e-99af-132a612d40f3,https://www.libreofficehelp.com/add-insert-delete-copy-move-rename-a-worksheet-in-libreoffice-calc/,LibreOffice Calc
0cecd4f3-74de-457b-ba94-29ad6b5dafb6,https://www.libreofficehelp.com/add-insert-delete-copy-move-rename-a-worksheet-in-libreoffice-calc/,LibreOffice Calc
4188d3a4-077d-46b7-9c86-23e1a036f6c1,https://www.libreofficehelp.com/freeze-unfreeze-rows-columns-ranges-calc/,LibreOffice Calc
51b11269-2ca8-4b2a-9163-f21758420e78,https://www.reddit.com/r/LibreOfficeCalc/comments/186pcc6/how_to_arrange_numbers_in_a_column_from_minimum/,LibreOffice Calc
7e429b8d-a3f0-4ed0-9b58-08957d00b127,https://medium.com/@divyangichaudhari17/how-to-use-vlookup-and-hlookup-in-libre-calc-3370698bb3ff,LibreOffice Calc
f5a90742-3fa2-40fc-a564-f29b054e0337,https://superuser.com/questions/1236149/libreoffice-calc-how-to-apply-functions-to-columns,LibreOffice Calc
22df9241-f8d7-4509-b7f1-37e501a823f7,https://superuser.com/questions/1767185/how-do-you-move-cells-in-libreoffice-calc,LibreOffice Calc
1434ca3e-f9e3-4db8-9ca7-b4c653be7d17,https://www.wikihow.com/Remove-Duplicates-in-Open-Office-Calc,LibreOffice Calc
347ef137-7eeb-4c80-a3bb-0951f26a8aff,https://www.youtube.com/watch?v=bgO40-CjYNY,LibreOffice Calc
6e99a1ad-07d2-4b66-a1ce-ece6d99c20a5,https://www.youtube.com/watch?v=nl-nXjJurhQ,LibreOffice Calc
3aaa4e37-dc91-482e-99af-132a612d40f3,https://www.quora.com/How-can-you-import-export-CSV-files-with-LibreOffice-Calc-or-OpenOffice,LibreOffice Calc
0decd4f3-74de-457b-ba94-29ad6b5dafb6,https://justclickhere.co.uk/resources/checkboxes-tick-boxes-libreoffice-calc/,LibreOffice Calc
37608790-6147-45d0-9f20-1137bb35703d,https://www.youtube.com/shorts/uzPo_CPCHH8,MS Excel
f9584479-3d0d-4c79-affa-9ad7afdd8850,https://youtube.com/shorts/feldd-Pn48c?si=9xJiem2uAHm6Jshb,LibreOffice Calc
d681960f-7bc3-4286-9913-a8812ba3261a,https://www.youtube.com/shorts/d7U1S_IsTVM,LibreOffice Calc
f6a90742-3fa2-40fc-a564-f29b054e0337,https://www.excel-easy.com/examples/drop-down-list.html,LibreOffice Calc
21df9241-f8d7-4509-b7f1-37e501a823f7,https://www.youtube.com/watch?v=p5C4V_AO1UU,LibreOffice Calc
1334ca3e-f9e3-4db8-9ca7-b4c653be7d17,https://techcommunity.microsoft.com/t5/excel/excel-workbook-top-way-too-big-can-t-see-rows-and-columns/m-p/4014694,LibreOffice Calc
357ef137-7eeb-4c80-a3bb-0951f26a8aff,https://www.reddit.com/r/excel/comments/17zny8u/calculating_total_amount_earned_from_total_hours/,LibreOffice Calc
6f99a1ad-07d2-4b66-a1ce-ece6d99c20a5,https://techcommunity.microsoft.com/t5/excel/sumarize-the-sheetnames/m-p/4014716,LibreOffice Calc
aa3a8974-2e85-438b-b29e-a64df44deb4b,https://www.quora.com/Libre-Office-Calc-How-do-I-resize-all-cells-in-a-sheet-to-make-them-fit-to-1-page-for-printing-and-exporting-as-PDF,LibreOffice Calc
a01fbce3-2793-461f-ab86-43680ccbae25,https://superuser.com/questions/1250677/how-to-set-decimal-separator-in-libre-office-calc,LibreOffice Calc
4f07fbe9-70de-4927-a4d5-bb28bc12c52c,https://superuser.com/questions/1081048/libreoffice-calc-how-to-pad-number-to-fixed-decimals-when-used-within-formula,LibreOffice Calc
e3b1d5fa-ed00-4129-bda1-1452bd2b6772,https://www.reddit.com/r/libreoffice/comments/tel112/calc_how_to_calculate_sum_by_categories/,LibreOffice Calc
ca6a9524-f8e9-4d2f-9364-ab0cad567739,https://www.reddit.com/r/libreoffice/comments/113gmyc/how_to_remove_certain_text_from_cells_in_calc/,LibreOffice Calc
a455e8d0-930f-40d2-9575-5e8d2d222f58,https://superuser.com/questions/562944/quickly-fill-blank-cells-in-a-list-in-libreoffice-calc,LibreOffice Calc
83ee22c6-7737-49ce-9b5a-138c3e92af04,https://superuser.com/questions/661102/currency-conversion-in-libreoffice-calc,LibreOffice Calc
819f61c2-ec77-4d3f-9996-0838ae5aacc8,https://superuser.com/questions/381696/creating-a-column-of-working-days-in-libreoffice-calc,LibreOffice Calc
69d577b3-004e-4bca-89b2-0d7c2f6049e3,https://superuser.com/questions/387106/libreoffice-calc-how-to-get-total-for-hhmmss-cells,LibreOffice Calc
0a1bf4ca-d4ea-4618-baa5-6e8dc1b46d82,https://superuser.com/questions/571915/sum-up-to-n-highest-value-out-of-a-series,LibreOffice Calc
ac9bb6cb-1888-43ab-81e4-a98a547918cd,https://superuser.com/questions/1674211/how-to-change-colour-of-slide-number-in-libre-office,LibreOffice Impress
5d901039-a89c-4bfb-967b-bf66f4df075e,https://superuser.com/questions/986776/how-can-i-stretch-an-image-in-a-libreoffice-impress-presentation-to-fill-the-pag,LibreOffice Impress
071d4ace-091a-4ec3-886e-f4be55ae375d,https://superuser.com/questions/706860/hide-slide-numbers-and-slide-footer-on-first-and-second-slide-in-libreoffice-imp?rq=1,LibreOffice Impress
550ce7e7-747b-495f-b122-acdc4d0b8e54,"https://technical-tips.com/blog/software/text-in-libreoffice-strikethrough--6948#:~:text=To%20strikethrough%20Text%20in%20LibreOffice%201%20In%20your,effect%22%20can%20your%20additionally%2C%20for%20example%2C%20double%20underline.",LibreOffice Impress
455d3c66-7dc6-4537-a39a-36d3e9119df7,"https://www.libreofficehelp.com/export-libreoffice-impress-slides-images/#:~:text=Exporting%20a%20single%20slide%20as.jpg%2C.png%2C%20etc%20image%20is,on%20the%20checkbox%20Selection.%20Provide%20jpg%20quality%20options.",LibreOffice Impress
af23762e-2bfd-4a1d-aada-20fa8de9ce07,https://superuser.com/questions/1059080/how-to-make-a-summary-slide-in-impress-listing-the-titles-of-all-slides-autom,LibreOffice Impress
c59742c0-4323-4b9d-8a02-723c251deaa0,https://www.reddit.com/r/libreoffice/comments/17lcdrp/audio_not_supported_in_libreoffice_impress/,LibreOffice Impress
39478d4a-1049-456f-aa77-407811393add,https://www.reddit.com/r/libreoffice/comments/jul3o8/putting_cap_or_hat_or_carat_symbol_in_libre/,LibreOffice Impress
c3ad4442-499f-4e58-bc4e-1a1417ea9b8c,http://maharajacollege.ac.in/material/Libreofficeimpresspdf.pdf,LibreOffice Impress
ef9d12bd-bcee-4ba0-a40e-918400f43ddf,https://www.reddit.com/r/libreoffice/comments/18elh3y/i_closed_the_slide_pannel_on_the_left_and_idk_how/,LibreOffice Impress
9ec204e4-f0a3-42f8-8458-b772a6797cab,https://www.tiktok.com/@lil.d1rt_/video/7247574148887629083,LibreOffice Impress
0f84bef9-9790-432e-92b7-eece357603fb,https://stackoverflow.com/questions/29036788/how-to-disable-libreoffice-impress-to-use-multiple-display,LibreOffice Impress
ce88f674-ab7a-43da-9201-468d38539e4a,https://justclickhere.co.uk/resources/change-slides-in-impress-to-portrait/,LibreOffice Impress
f0a334af-f91b-4c03-b578-aac9bec2b543,https://www.libreofficehelp.com/insert-video-impress-presentation/#Inserting_a_Video_in_Impress,LibreOffice Impress
3b27600c-3668-4abd-8f84-7bcdebbccbdb,https://www.libreofficehelp.com/change-slide-background-impress/#All_Slides,LibreOffice Impress
a097acff-6266-4291-9fbd-137af7ecd439,https://www.youtube.com/watch?v=DDmEvjs4iBw,LibreOffice Impress
21760ecb-8f62-40d2-8d85-0cee5725cb72,https://www.libreofficehelp.com/add-animations-transitions-libreoffice-impress-slides/,LibreOffice Impress
3cc4f35d-fa2e-4555-afb9-741b7c062a74,https://documentation.libreoffice.org/assets/Uploads/Documentation/en/IG7.6/IG76-ImpressGuide.pdf,LibreOffice Impress
6ada715d-3aae-4a32-a6a7-429b2e43fb93,https://www.quora.com/How-do-you-insert-images-into-a-LibreOffice-Writer-document,LibreOffice Writer
ecc2413d-8a48-416e-a3a2-d30106ca36cb,https://www.quora.com/How-can-I-insert-a-blank-page-on-libreoffice,LibreOffice Writer
0e47de2a-32e0-456c-a366-8c607ef7a9d2,https://ask.libreoffice.org/t/how-to-start-page-numbering-on-a-certain-page/39931/4,LibreOffice Writer
4bcb1253-a636-4df4-8cb0-a35c04dfef31,https://www.libreofficehelp.com/save-export-writer-documents-in-pdf-epub-format/,LibreOffice Writer
0810415c-bde4-4443-9047-d5f70165a697,https://www.youtube.com/watch?v=Q_AaL6ljudU,LibreOffice Writer
e528b65e-1107-4b8c-8988-490e4fece599,https://www.youtube.com/watch?v=l25Evu4ohKg,LibreOffice Writer
66399b0d-8fda-4618-95c4-bfc6191617e9,https://www.youtube.com/watch?v=l25Evu4ohKg,LibreOffice Writer
936321ce-5236-426a-9a20-e0e3c5dc536f,https://www.youtube.com/watch?v=l25Evu4ohKg,LibreOffice Writer
663876c7-3471-43db-ba51-f410b13d9d7d,https://askubuntu.com/questions/319593/how-to-type-science-equations-in-libre-office,LibreOffice Writer
3ef2b351-8a84-4ff2-8724-d86eae9b842e,https://askubuntu.com/questions/1066351/how-do-you-center-align-in-libreoffice#:~:text=Ctrl%20%2B%20e%20will%20Center%20align%20the%20cursor%20for%20you.,LibreOffice Writer
45d61a06-6545-4422-97b7-bc76cfa964c1,https://stackoverflow.com/questions/71685737/how-to-replace-all-newlines-with-paragraph-marks-in-libreoffice-write,LibreOffice Writer
0b17a146-2934-46c7-8727-73ff6b6483e8,https://askubuntu.com/questions/245695/how-do-you-insert-subscripts-and-superscripts-into-ordinary-non-formula-text-i,LibreOffice Writer
0e763496-b6bb-4508-a427-fad0b6c3e195,https://ask.libreoffice.org/t/how-do-i-change-the-font-for-the-whole-document-in-writer/9220,LibreOffice Writer
f178a4a9-d090-4b56-bc4c-4b72a61a035d,https://ask.libreoffice.org/t/how-do-i-make-times-new-roman-the-default-font-in-lo/64604,LibreOffice Writer
0a0faba3-5580-44df-965d-f562a99b291c,https://stackoverflow.com/questions/64528055/how-to-make-part-of-my-sentence-left-aligned-and-rest-as-right-aligned,LibreOffice Writer
e246f6d8-78d7-44ac-b668-fcf47946cb50,https://ask.libreoffice.org/t/how-to-change-text-size-color-of-italic-font/77712,LibreOffice Writer
8472fece-c7dd-4241-8d65-9b3cd1a0b568,https://stackoverflow.com/questions/37259827/libreoffice-writer-how-to-set-different-colors-to-each-letter,LibreOffice Writer
88fe4b2d-3040-4c70-9a70-546a47764b48,https://stackoverflow.com/questions/56554555/libreoffice-writer-how-to-create-empty-line-space-after-every-period-in-a-par,LibreOffice Writer
6a33f9b9-0a56-4844-9c3f-96ec3ffb3ba2,https://superuser.com/questions/762500/how-do-i-find-all-highlighted-text-in-libreoffice-writer,LibreOffice Writer
d53ff5ee-3b1a-431e-b2be-30ed2673079b,https://ask.libreoffice.org/t/how-to-convert-all-uppercase-to-lowercase/53341,LibreOffice Writer
72b810ef-4156-4d09-8f08-a0cf57e7cefe,https://superuser.com/questions/657792/libreoffice-writer-how-to-apply-strikethrough-text-formatting?rq=1,LibreOffice Writer
6f81754e-285d-4ce0-b59e-af7edb02d108,https://superuser.com/questions/789473/remove-duplicate-lines-in-libreoffice-openoffice-writer,LibreOffice Writer
41c621f7-3544-49e1-af8d-dafd0f834f75,https://superuser.com/questions/1668018/how-to-auto-format-lines-in-libre-office-writer,LibreOffice Writer
b21acd93-60fd-4127-8a43-2f5178f4a830,https://superuser.com/questions/1097199/how-can-i-double-space-a-document-in-libreoffice?rq=1,LibreOffice Writer
59f21cfb-0120-4326-b255-a5b827b38967,https://docs.videolan.me/vlc-user/desktop/3.0/en/basic/media.html#playing-a-file,VLC player
8ba5ae7a-5ae5-4eab-9fcc-5dd4fe3abf89,https://docs.videolan.me/vlc-user/desktop/3.0/en/basic/recording/playing.html#choose-your-recordings-folder,VLC player
8f080098-ddb1-424c-b438-4e96e5e4786e,https://medium.com/@jetscribe_ai/how-to-extract-mp3-audio-from-videos-using-vlc-media-player-beeef644ebfb,VLC player
bba3381f-b5eb-4439-bd9e-80c22218d5a7,https://www.quora.com/How-do-I-play-online-videos-using-the-VLC-media-player,VLC player
a1c3ab35-02de-4999-a7ed-2fd12c972c6e,https://www.quora.com/How-do-I-compress-a-video-with-VLC,VLC player
fba2c100-79e8-42df-ae74-b592418d54f4,https://www.youtube.com/watch?v=XHprwDJ0-fU&t=436s,VLC player
d70666e4-7348-42c7-a06a-664094c5df3c,https://www.youtube.com/watch?v=XHprwDJ0-fU&t=436s,VLC player
efcf0d81-0835-4880-b2fd-d866e8bc2294,"https://www.youtube.com/watch?v=XHprwDJ0-fU&t=436s, https://help.ubuntu.com/stable/ubuntu-help/look-background.html.en",VLC player
8d9fd4e2-6fdb-46b0-b9b9-02f06495c62f,https://www.youtube.com/watch?v=XHprwDJ0-fU&t=436s,VLC player
aa4b5023-aef6-4ed9-bdc9-705f59ab9ad6,https://videoconverter.wondershare.com/vlc/how-to-rotate-a-video-using-vlc.html?gad_source=1&gclid=CjwKCAiA-vOsBhAAEiwAIWR0TaGSOLkYiBeVQGZSyfeUP3g-tIvYxffl5RFIu0-zrUL1IF41eCw1JRoCnCMQAvD_BwE,VLC player
386dbd0e-0241-4a0a-b6a2-6704fba26b1c,https://superuser.com/questions/1708415/pause-and-play-vlc-in-background?rq=1,VLC player
9195653c-f4aa-453d-aa95-787f6ccfaae9,https://superuser.com/questions/1513285/how-can-i-increase-the-maximum-volume-output-by-vlc?rq=1,VLC player
5ac2891a-eacd-4954-b339-98abba077adb,"https://superuser.com/questions/1412810/how-to-prevent-vlc-media-player-from-auto-closing-after-video-end#:%7E:text=Click%20on%20%22Media%22on%20the,VLC%20player%20after%20video%20ending",VLC player
0d95d28a-9587-433b-a805-1fbe5467d598,https://superuser.com/questions/1299036/vlc-how-to-open-the-folder-of-the-current-playing-video?noredirect=1&lq=1,VLC player
d06f0d4d-2cd5-4ede-8de9-598629438c6e,https://superuser.com/questions/1039392/changing-colour-of-vlc-volume-slider,VLC player
a5bbbcd5-b398-4c91-83d4-55e1e31bbb81,https://superuser.com/questions/776056/how-to-hide-bottom-toolbar-in-vlc,VLC player
f3977615-2b45-4ac5-8bba-80c17dbe2a37,https://www.reddit.com/r/Fedora/comments/rhljzd/how_to_run_multiple_instances_of_vlc_media_player/,VLC player
c669a35f-d45a-450e-b1f2-f473748337bb,https://www.quora.com/How-do-I-fast-forward-a-video-in-VLC-player,VLC player
d1ba14d0-fef8-4026-8418-5b581dc68ca0,https://superuser.com/questions/306154/how-to-use-a-b-repeat-feature-of-vlc,VLC player
215dfd39-f493-4bc3-a027-8a97d72c61bf,https://superuser.com/questions/1224784/how-to-change-vlcs-splash-screen,VLC player
bb5e4c0d-f964-439c-97b6-bdb9747de3f4,https://www.wikihow.com/Remove-an-Email-Account-from-Thunderbird,ThunderBird
7b6c7e24-c58a-49fc-a5bb-d57b80e5b4c3,https://www.wikihow.com/Access-Gmail-With-Mozilla-Thunderbird,ThunderBird
b188fe10-ae67-4db8-a154-26a0b8ff8f1e,https://www.reddit.com/r/Thunderbird/comments/17vv2os/restore_readability_in_message_list_pane/,ThunderBird
12086550-11c0-466b-b367-1d9e75b3910e,https://www.bitrecover.com/blog/manage-thunderbird-profiles/,ThunderBird
06fe7178-4491-4589-810f-2e2bc9502122,https://www.quora.com/How-do-I-backup-email-files-in-Mozilla-Thunderbird,ThunderBird
6766f2b8-8a72-417f-a9e5-56fcaa735837,"https://www.adsigner.com/user-manual/signatures/setup-email-client-thunderbird/#:~:text=is%20probably%20hidden.-,Right%20click%20on%20the%20empty%20space%20at%20the%20top%20of,signature%20from%20a%20file%20instead.",ThunderBird
e1e75309-3ddb-4d09-92ec-de869c928143,https://support.mozilla.org/en-US/kb/organize-your-messages-using-filters,ThunderBird
3d1682a7-0fb0-49ae-a4dc-a73afd2d06d5,https://support.mozilla.org/en-US/kb/organize-your-messages-using-filters,ThunderBird
35253b65-1c19-4304-8aa4-6884b8218fc0,https://support.mozilla.org/en-US/questions/1259354,ThunderBird
d088f539-cab4-4f9a-ac92-9999fc3a656e,https://support.mozilla.org/en-US/kb/how-use-attachments,ThunderBird
2ad9387a-65d8-4e33-ad5b-7580065a27ca,"https://support.mozilla.org/bm/questions/1027435, https://www.wikihow.tech/Create-Folders-in-Mozilla-Thunderbird",ThunderBird
480bcfea-d68f-4aaa-a0a9-2589ef319381,https://www.reddit.com/r/Thunderbird/comments/182dg5p/unified_inbox_howto/,ThunderBird
37b9808f-b2b4-4177-ab00-9ddfae4bad27,https://www.quora.com/How-can-I-schedule-Mozilla-Thunderbird-to-turn-off-automatically,ThunderBird
af630914-714e-4a24-a7bb-f9af687d3b91,https://stackoverflow.com/questions/11333148/adding-a-toolbar-button-to-a-thundebird-compose-message-window?rq=3,ThunderBird
3299584d-8f11-4457-bf4c-ce98f7600250,https://superuser.com/questions/1643561/would-like-to-see-the-email-address-from-sender-in-the-column,ThunderBird
030eeff7-b492-4218-b312-701ec99ee0cc,https://superuser.com/questions/1781004/how-do-i-remove-the-indentation-and-character-in-quoted-text-of-a-reply-mess,ThunderBird
94760984-3ff5-41ee-8347-cf1af709fea0,https://superuser.com/questions/1757333/how-can-i-view-thunderbird-in-full-dark-mode,ThunderBird
99146c54-4f37-4ab8-9327-5f3291665e1e,https://superuser.com/questions/1764409/how-to-send-email-with-thunderbird-without-configuring-an-incoming-email-service,ThunderBird
9656a811-9b5b-4ddf-99c7-5117bcef0626,https://superuser.com/questions/205240/is-there-a-way-to-get-a-popup-confirmation-box-when-you-send-an-email-in-thunder?rq=1,ThunderBird
c9e7eaf2-b1a1-4efc-a982-721972fa9f02,https://superuser.com/questions/544480/how-to-apply-automatic-message-filters-to-subfolders-too?noredirect=1&lq=1,ThunderBird
bb5e4c0d-f964-439c-97b6-bdb9747de3f4,https://support.google.com/chrome/answer/95426?sjid=16867045591165135686-AP,Chrome
7b6c7e24-c58a-49fc-a5bb-d57b80e5b4c3,https://support.google.com/chrome/answer/95647?hl=en&ref_topic=7438325&sjid=16867045591165135686-AP#zippy=%2Cdelete-cookies-from-a-site,Chrome
12086550-11c0-466b-b367-1d9e75b3910e,https://www.quora.com/What-are-the-cool-tricks-to-use-Google-Chrome,Chrome
06fe7178-4491-4589-810f-2e2bc9502122,https://www.wikihow.com/Switch-Tabs-in-Chrome,Chrome
6766f2b8-8a72-417f-a9e5-56fcaa735837,https://support.google.com/chrome/thread/205881926/it-s-possible-to-load-unpacked-extension-automatically-in-chrome?hl=en,Chrome
e1e75309-3ddb-4d09-92ec-de869c928143,https://in5stepstutorials.com/google-chrome/save-web-page-as-pdf-in-chrome.php,Chrome
3d1682a7-0fb0-49ae-a4dc-a73afd2d06d5,https://in5stepstutorials.com/google-chrome/add-change-delete-autofill-address.php,Chrome
35253b65-1c19-4304-8aa4-6884b8218fc0,"https://www.laptopmag.com/articles/how-to-create-desktop-shortcuts-for-web-pages-using-chrome, https://www.reddit.com/r/chrome/comments/13xcbap/crete_shortcut_option_missing/",Chrome
d088f539-cab4-4f9a-ac92-9999fc3a656e,https://medium.com/@inkverseuk2/useful-tips-and-tricks-for-the-google-chrome-browser-ac7d0d24b3cc,Chrome
2ad9387a-65d8-4e33-ad5b-7580065a27ca,https://www.youtube.com/watch?v=IN-Eq_UripQ,Chrome
7a5a7856-f1b6-42a4-ade9-1ca81ca0f263,https://www.youtube.com/watch?v=ZaZ8GcTxjXA,Chrome
3720f614-37fd-4d04-8a6b-76f54f8c222d,https://superuser.com/questions/984668/change-interface-language-of-chrome-to-english,Chrome
b63059a2-53bc-4163-a89f-3ac948c74081,https://superuser.com/questions/1303418/how-do-i-make-chrome-block-absolutely-all-pop-ups?rq=1,Chrome
44ee5668-ecd5-4366-a6ce-c1c9b8d4e938,https://superuser.com/questions/1787991/clear-browsing-history-from-specific-site-on-chrome,Chrome
b5ebc8c6-6329-4373-85b4-9421c97375e9,https://superuser.com/questions/364470/is-there-a-way-to-view-google-chrome-browsing-history-past-three-months-ago?rq=1,Chrome
93eabf48-6a27-4cb6-b963-7d5fe1e0d3a9,https://superuser.com/questions/1417973/how-to-disable-google-chrome-dark-mode,Chrome
2ae9ba84-3a0d-4d4c-8338-3a1478dc5fe3,https://superuser.com/questions/1393683/how-to-change-the-username-in-google-chrome-profiles?rq=1,Chrome
480bcfea-d68f-4aaa-a0a9-2589ef319381,https://bugartisan.medium.com/disable-the-new-chrome-ui-round-in-2023-db168271f71e,Chrome
37b9808f-b2b4-4177-ab00-9ddfae4bad27,https://www.reddit.com/r/chrome/comments/17niw3h/tutorial_how_to_disable_the_download_bubble_in/,Chrome
af630914-714e-4a24-a7bb-f9af687d3b91,https://www.howtogeek.com/680260/how-to-change-chromes-default-text-size/,Chrome
ae78f875-5b98-4907-bbb5-9c737fc68c03,https://support.google.com/chrome/thread/219988391/increase-search-results-per-page?hl=en,Chrome
0ed39f63-6049-43d4-ba4d-5fa2fe04a951,https://www.quora.com/How-do-you-find-and-replace-text-in-Visual-Studio-Code,VS Code
b421106e-b282-4c41-af72-37c95493f95f,https://stackoverflow.com/questions/74153883/launch-vscode-with-new-txt-file,VS Code
53ad5833-3455-407b-bbc6-45b4c79ab8fb,https://www.youtube.com/watch?v=VqCgcpAypFQ,VS Code
eabc805a-bfcf-4460-b250-ac92135819f6,https://www.youtube.com/watch?v=VqCgcpAypFQ,VS Code
3486f395-ad68-459c-8c39-ea07de934dd4,https://www.youtube.com/watch?v=VqCgcpAypFQ,VS Code
982d12a5-beab-424f-8d38-d2a48429e511,https://www.youtube.com/watch?v=ORrELERGIHs,VS Code
4e60007a-f5be-4bfc-9723-c39affa0a6d3,"https://campbell-muscle-lab.github.io/howtos_Python/pages/documentation/best_practices/vscode_docstring_extension/vscode_docstring_extension.html#:~:text=Type%2C%20Ctrl%20%2B%20Shift%20%2B%20P,select%20the%20NumPy%20docstring%20format.",VS Code
e2b5e914-ffe1-44d2-8e92-58f8c5d92bb2,https://superuser.com/questions/1386061/how-to-suppress-some-python-errors-warnings-in-vs-code,VS Code
9439a27b-18ae-42d8-9778-5f68f891805e,https://stackoverflow.com/questions/75832474/how-to-keep-cursor-in-debug-console-when-debugging-in-visual-studio-code,VS Code
ae506c68-352c-4094-9caa-ee9d42052317,https://superuser.com/questions/1460404/get-visual-studio-code-terminal-history?rq=1,VS Code
ea98c5d7-3cf9-4f9b-8ad3-366b58e0fcae,https://superuser.com/questions/1748097/vs-code-disable-tree-view-find-explorer-search,VS Code
c714dcee-cad3-4e12-8f3c-12bdcfcdb048,https://superuser.com/questions/1417361/how-to-disable-file-filtering-in-vs-code-sidebar-explorer?rq=1,VS Code
930fdb3b-11a8-46fe-9bac-577332e2640e,https://superuser.com/questions/1270103/how-to-switch-the-cursor-between-terminal-and-code-in-vscode,VS Code
276cc624-87ea-4f08-ab93-f770e3790175,https://www.quora.com/unanswered/How-do-you-set-the-line-length-in-Visual-Studio-Code,VS Code
9d425400-e9b2-4424-9a4b-d4c7abac4140,https://superuser.com/questions/1466771/is-there-a-way-to-make-editor-tabs-stack-in-vs-code,VS Code
7a4deb26-d57d-4ea9-9a73-630f66a7b568,https://www.quora.com/How-do-I-edit-a-photo-in-GIMP,GIMP
554785e9-4523-4e7a-b8e1-8016f565f56a,https://www.quora.com/How-do-I-edit-a-photo-in-GIMP,GIMP
77b8ab4d-994f-43ac-8930-8ca087d7c4b4,https://superuser.com/questions/1636113/how-to-get-gimp-to-recognize-images-or-pictures-folder-as-the-default-folder-for,GIMP
f4aec372-4fb0-4df5-a52b-79e0e2a5d6ce,https://superuser.com/questions/612338/how-do-i-select-and-move-an-object-in-gimp,GIMP
d52d6308-ec58-42b7-a2c9-de80e4837b2b,https://superuser.com/questions/1447106/how-to-get-rid-of-the-gimp-tool-options-box,GIMP
2a729ded-3296-423d-aec4-7dd55ed5fbb3,https://www.youtube.com/watch?v=lOzSiOIipSM,GIMP
b148e375-fe0b-4bec-90e7-38632b0d73c2,https://www.quora.com/How-do-I-add-layers-in-GIMP,GIMP
a746add2-cab0-4740-ac36-c3769d9bfb46,https://www.youtube.com/watch?v=_L_MMU22bAw,GIMP
7b7617bd-57cc-468e-9c91-40c4ec2bcb3d,https://www.youtube.com/watch?v=G_PjQAy0iiU,GIMP
d16c99dc-2a1e-46f2-b350-d97c86c85c15,https://stackoverflow.com/questions/75185543/use-gimp-to-resize-image-in-one-layer-only,GIMP
573f79b5-abfe-4507-b455-251d45fe6198,https://stackoverflow.com/questions/45196895/gimp-add-padding-to-multiple-images,GIMP
06ca5602-62ca-47f6-ad4f-da151cde54cc,https://stackoverflow.com/questions/74664666/how-to-export-palette-based-png-in-gimp,GIMP
fa9b1e10-4d2d-4a13-af76-7efa822b6a8b,https://stackoverflow.com/questions/24626608/how-to-combine-several-png-images-as-layers-in-a-single-xcf-image,GIMP
6b2b72ed-3a10-4849-876a-750f7cdf3886,https://stackoverflow.com/questions/21018007/resize-image-to-fit-canvas-gimp,GIMP
d0e42fd2-d290-46b3-b598-a6e2b7be9c85,https://stackoverflow.com/questions/56758689/stop-gimp-from-merging-layers-when-de-selecting,GIMP
e2dd0213-26db-4349-abe5-d5667bfd725c,https://superuser.com/questions/839650/how-to-move-an-inserted-text-box-in-gimp,GIMP
f723c744-e62c-4ae6-98d1-750d3cd7d79d,https://www.reddit.com/r/GIMP/comments/12e57w8/how_to_use_gimp_to_exaggerate_contrast/,GIMP
8d6b1c9c-1aab-47fe-9ba5-e84c838d0c57,https://www.quora.com/How-can-email-attachments-be-converted-into-a-word-document-using-Mozilla-Thunderbird,multiple
11e1e614-9696-4d94-88c9-8e556880d41a,https://ifttt.com/applets/L2A89geP-send-chrome-software-update-release-alerts-to-email,multiple
57956154-f0fe-486b-88b8-e7126da035a9,https://zapier.com/apps/email/integrations/google-sheets/547/get-email-notifications-for-new-rows-in-a-google-sheets-spreadsheet,multiple
ec14c524-b245-456d-abd6-ec12c746e9f8,https://zapier.com/apps/gmail/integrations/google-sheets/2618/save-new-gmail-emails-matching-certain-traits-to-a-google-spreadsheet,multiple
cbf5fbda-425e-4619-bcf2-0ea8d4c0bfa3,https://zapier.com/apps/google-sheets/integrations/google-slides/13919/refresh-charts-on-a-google-slides-presentation-when-rows-are-updated-on-google-sheets,multiple
a54284d0-7b93-4327-bfcc-3a421516dbdd,https://superuser.com/questions/655622/cannot-drag-images-from-thunderbird-to-word,multiple
58565672-7bfe-48ab-b828-db349231de6b,https://superuser.com/questions/1792660/open-link-from-other-application-does-not-open-the-url-in-firefox,multiple
6d72aad6-187a-4392-a4c4-ed87269c51cf,https://superuser.com/questions/923171/converting-openoffice-impress-presentation-to-video-without-screen-recording,multiple
937087b6-f668-4ba6-9110-60682ee33441,https://superuser.com/questions/187440/set-default-ubuntu-video-player-as-vlc,multiple
f8cfa149-d1c1-4215-8dac-4a0932bad3c2,https://superuser.com/questions/1803088/libreoffice-calc-clears-clipboard,multiple
5e974913-6905-4c3f-8b65-d7837f3931cc,https://stackoverflow.com/questions/61856141/how-can-i-start-thunderbird-and-minimize-the-window-on-startup-in-ubuntu,multiple
7c179dad-f1c7-4892-b53f-d1c4023d23c7,https://stackoverflow.com/questions/21155085/pasting-excel-tables-in-thunderbird-e-mail-client,multiple
4a68b2dd-70f2-4532-9bc1-d21878bd8cb2,https://stackoverflow.com/questions/65669955/thunderbird-how-to-send-a-mail-to-all-receivers-of-a-folder,multiple
c8457fde-b14b-4aba-b402-144842ea29e1,https://stackoverflow.com/questions/65788200/how-to-open-xlsx-files-in-ms-excel-from-vs-code,multiple
81c425f5-78f3-4771-afd6-3d2973825947,https://www.zyxware.com/articles/3770/how-to-transfer-data-in-libreoffice-calc-to-libreoffice-writer-in-table-format,multiple
bb83cab4-e5c7-42c7-a67b-e46068032b86,https://ask.libreoffice.org/t/save-impress-presentation-as-writer-document/5291/4,multiple
227d2f97-562b-4ccb-ae47-a5ec9e142fbb,https://discourse.gnome.org/t/gimp-and-libre-office-writer/15430/4,multiple
a6bbc08c-51e9-4ee4-9327-83d05075d960,https://forum.openoffice.org/en/forum/viewtopic.php?t=105055,multiple
964e6e03-ba31-466b-8c15-5a351a81f675,https://www.maketecheasier.com/mail-merge-thunderbird-calc/,multiple
2fe4b718-3bd7-46ec-bdce-b184f5653624,https://www.thewindowsclub.com/how-to-create-animated-gif-from-a-video-file-using-vlc-and-gimp,multiple
d02b9364-6bb0-4c7e-9dbd-4db62822bc26,https://stackoverflow.com/questions/38306910/simple-python-script-to-get-a-libreoffice-base-field-and-play-on-vlc,multiple
57fb469b-127a-46fa-8281-bbb3840efdf5,https://support.mozilla.org/en-US/questions/1150626,multiple
3680a5ee-6870-426a-a997-eba929a0d25c,https://unix.stackexchange.com/questions/510850/how-to-open-calc-from-terminal-and-insert-files,multiple
2d8c8a20-6f54-4c2e-ad56-61fbe7af6b78,https://www.quora.com/How-do-I-force-LibreOffice-Calc-to-recalculate-a-spreadsheet-from-the-command-line,multiple
ee9a3c83-f437-4879-8918-be5efbb9fac7,https://stackoverflow.com/questions/64589140/convert-ods-to-csv-using-command-line-when-libreoffice-instance-is-running,multiple
f7dfbef3-7697-431c-883a-db8583a4e4f9,https://www.thegeekdiary.com/libreoffice-command-examples-in-linux/,multiple
2b9493d7-49b8-493a-a71b-56cd1f4d6908,https://devicetests.com/kill-libreoffice-writer-command-line-ubuntu,multiple
51f5801c-18b3-4f25-b0c3-02f85507a078,https://github.com/danielrcollins1/ImpressExtractNotes,multiple
81de345e-5473-4cb6-a74d-b6abf3475a6a,https://stackoverflow.com/questions/45588952/how-can-i-compose-and-send-email-in-thunderbird-from-commandline,multiple
2c9fc0de-3ee7-45e1-a5df-c86206ad78b5,https://nikki-ricks.medium.com/how-to-use-git-add-commit-and-push-in-vs-code-and-command-line-35c0e8c47b62,multiple
510f64c8-9bcc-4be1-8d30-638705850618,https://www.geeksforgeeks.org/how-to-start-vs-code-from-the-terminal-command-line/,multiple
9ff484f7-5c09-4398-ae29-d5904e59e138,https://stackoverflow.com/questions/38606973/playing-opening-and-pausing-vlc-command-line-executed-from-python-scripts,multiple
d9b7c649-c975-4f53-88f5-940b29c47247,https://marketplace.uipath.com/listings/extract-the-first-1000-gmail-emails-from-the-current-month-in-a-new-google-sheets-report,multiple
be4ef0dc-0f70-4936-81d8-3cd2b04482f8,https://marketplace.uipath.com/listings/table-data-extraction-for-sales-opportunities-to-excel-workbook,multiple
78aed49a-a710-4321-a793-b611a7c5b56b,https://marketplace.uipath.com/listings/upload-email-attachments-from-gmail-to-google-drive,multiple
897e3b53-5d4d-444b-85cb-2cdc8a97d903,https://marketplace.uipath.com/listings/convert-word-file-to-pdf-and-store-in-onedrive,multiple
4e9f0faf-2ecc-4ae8-a804-28c9a75d1ddc,https://marketplace.uipath.com/listings/extract-data-from-a-new-invoice-file-in-google-drive-and-store-it-in-google-sheets4473,multiple
b52b40a5-ad70-4c53-b5b0-5650a8387052,https://marketplace.uipath.com/listings/merge-pdfs-from-gmail-email-attachments-and-upload-to-gogle-drive,multiple
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257 510f64c8-9bcc-4be1-8d30-638705850618 https://www.geeksforgeeks.org/how-to-start-vs-code-from-the-terminal-command-line/ multiple
258 9ff484f7-5c09-4398-ae29-d5904e59e138 https://stackoverflow.com/questions/38606973/playing-opening-and-pausing-vlc-command-line-executed-from-python-scripts multiple
259 d9b7c649-c975-4f53-88f5-940b29c47247 https://marketplace.uipath.com/listings/extract-the-first-1000-gmail-emails-from-the-current-month-in-a-new-google-sheets-report multiple
260 be4ef0dc-0f70-4936-81d8-3cd2b04482f8 https://marketplace.uipath.com/listings/table-data-extraction-for-sales-opportunities-to-excel-workbook multiple
261 78aed49a-a710-4321-a793-b611a7c5b56b https://marketplace.uipath.com/listings/upload-email-attachments-from-gmail-to-google-drive multiple
262 897e3b53-5d4d-444b-85cb-2cdc8a97d903 https://marketplace.uipath.com/listings/convert-word-file-to-pdf-and-store-in-onedrive multiple
263 4e9f0faf-2ecc-4ae8-a804-28c9a75d1ddc https://marketplace.uipath.com/listings/extract-data-from-a-new-invoice-file-in-google-drive-and-store-it-in-google-sheets4473 multiple
264 b52b40a5-ad70-4c53-b5b0-5650a8387052 https://marketplace.uipath.com/listings/merge-pdfs-from-gmail-email-attachments-and-upload-to-gogle-drive multiple
265 46407397-a7d5-4c6b-92c6-dbe038b1457b https://marketplace.uipath.com/listings/upload-to-google-drive-images-from-pdf-attachments-received-via-gmail multiple
266 a0b9dc9c-fc07-4a88-8c5d-5e3ecad91bcb https://marketplace.uipath.com/listings/backup-important-emails-to-onedrive-or-sharepoint multiple
267 665f4af1-617d-4009-baff-84ff66071e6a https://www.howtogeek.com/663927/how-to-open-google-chrome-using-command-prompt-on-windows-10/#open-chrome-straight-to-a-specific-website multiple
268 e6313b30-3903-4ed9-8c7d-4c47bf51fc96 https://stackoverflow.com/questions/12258086/how-do-i-run-google-chrome-as-root multiple

238
resouce_collection/Source2Doc/get_Source_Doc.py
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@@ -1,238 +0,0 @@
import csv
import os
import yt_dlp
from docx import Document
import requests
from bs4 import BeautifulSoup
from PIL import Image
import pytesseract
from io import BytesIO
from docx import Document
import re
import markdownify
from markdownify import markdownify as md
def valid_xml_char_ordinal(c):
codepoint = ord(c)
# conditions ordered by presumed frequency
return (
0x20 <= codepoint <= 0xD7FF or
codepoint in (0x9, 0xA, 0xD) or
0xE000 <= codepoint <= 0xFFFD or
0x10000 <= codepoint <= 0x10FFFF
)
def download_and_clean_youtube_subtitles(video_url, txt_filepath):
# set up youtube-dl options to download the subtitles
subtitles_path = txt_filepath[0:-4]
ydl_opts = {
'skip_download': True,
'writesubtitles': True,
'writeautomaticsub': True, # if no subtitles are available, try to generate them
'subtitleslangs': ['en'],
'outtmpl': f'{subtitles_path}.%(ext)s',
'quiet': True,
}
with yt_dlp.YoutubeDL(ydl_opts) as ydl:
# download the subtitles
ydl.download([video_url])
subtitle_file = f'{subtitles_path}.en.vtt'
# read the subtitle file
subtitles = []
try:
with open(subtitle_file, 'r', encoding='utf-8') as file:
lines = file.readlines()
# define a pattern to match the time line
pattern = re.compile(r'(\d{2}:\d{2}:\d{2}.\d{3} --> \d{2}:\d{2}:\d{2}.\d{3})|(^WEBVTT)|(^Kind: captions)|(^Language: .*)')
# clean the subtitles
for line in lines:
# if this line is a time line or it is blank , skip it
if pattern.match(line) or line.strip() == '':
continue
# add this subtitle line to subtitles list, remove the trailing spaces and line change
subtitles.append(line.strip())
# remove duplicated subtitles
subtitles = list(dict.fromkeys(subtitles))
# save the subtitles as a txt file
with open(txt_filepath, 'w', encoding='utf-8') as f:
for line in subtitles:
if line:
f.write(line + '\n')
except IOError:
print(f"Could not read file: {subtitle_file}")
# scrape a webpage and perform OCR on images
def scrape_and_ocr_forum(url, doc):
response = requests.get(url)
soup = BeautifulSoup(response.content, 'html.parser')
text_elements = soup.find_all(['h1', 'h2', 'h3', 'p', 'li'])
for element in text_elements:
doc.add_paragraph(element.get_text())
image_elements = soup.find_all('img')
for image in image_elements:
if 'src' not in image.attrs:
continue
image_url = image['src']
if image_url.startswith('http'):
if not image_url.endswith('.svg') and not image_url.endswith('.png'):
continue
if 'neveragain.allstatics.com/2019/assets/icon/logo' in image_url:
continue
img_response = requests.get(image_url, stream=True)
img = Image.open(BytesIO(img_response.content))
ocr_text = pytesseract.image_to_string(img)
if ocr_text != ' ' and ocr_text != '':
cleaned_string = ''.join(c for c in ocr_text if valid_xml_char_ordinal(c))
doc.add_paragraph(cleaned_string)
def superuser_to_markdown(url, doc_filepath):
response = requests.get(url)
soup = BeautifulSoup(response.content, 'html.parser')
# set up the markdown document
markdown_content = ""
# get the question title and body
question_title = soup.find('h1').get_text(strip=True)
question = soup.find('div', {'id': 'question'})
if question:
question_body = question.find('div', {'class': 's-prose js-post-body'}).prettify()
markdown_content += f"# {question_title}\n\n" + markdownify.markdownify(question_body, heading_style="ATX") + "\n\n"
# get all answers
answers = soup.find_all('div', {'class': 'answer'})
for answer in answers:
answer_body = answer.find('div', {'class': 's-prose js-post-body'}).prettify()
markdown_content += markdownify.markdownify(answer_body, heading_style="ATX") + "\n\n"
# deal with images and perform OCR
all_img_tags = question.find_all('img') + [img for answer in answers for img in answer.find_all('img')]
for img_tag in all_img_tags:
image_src = img_tag.get('src') or img_tag.get('data-src') # Superuser uses lazy loading
if image_src and image_src.startswith('http'):
img_response = requests.get(image_src, stream=True)
img = Image.open(BytesIO(img_response.content))
ocr_text = pytesseract.image_to_string(img)
if ocr_text.strip(): # if the OCR result is not empty, add it to the markdown content
markdown_content += "```\n" + ocr_text.strip() + "\n```\n\n"
with open(doc_filepath, 'w', encoding='utf-8') as f:
f.write(markdown_content)
def stack_overflow_to_markdown(url, doc_filepath):
response = requests.get(url)
soup = BeautifulSoup(response.content, 'html.parser')
# set up the markdown document
markdown_content = ""
# get the question title and body
question = soup.find('div', {'id': 'question'})
question_title = soup.find('h1').get_text(strip=True)
if question:
question_body = question.find('div', {'class': 's-prose js-post-body'}).prettify()
markdown_content += f"# {question_title}\n\n" + markdownify.markdownify(question_body, heading_style="ATX") + "\n\n"
# get all answers
answers = soup.find_all('div', {'class': 'answer'})
for answer in answers:
answer_body = answer.find('div', {'class': 's-prose js-post-body'}).prettify()
markdown_content += markdownify.markdownify(answer_body, heading_style="ATX") + "\n\n"
# deal with images and perform OCR
all_img_tags = soup.find_all('img')
for img_tag in all_img_tags:
image_url = img_tag['src']
if image_url.startswith('http') and (image_url.endswith('.svg') or image_url.endswith('.png')): # 确保图片URL有效
img_response = requests.get(image_url, stream=True)
img = Image.open(BytesIO(img_response.content))
ocr_text = pytesseract.image_to_string(img)
if ocr_text.strip():
markdown_content += "```\n" + ocr_text.strip() + "\n```\n\n"
with open(doc_filepath, 'w', encoding='utf-8') as f:
f.write(markdown_content)
def scrape_webpage_to_markdown(url, doc_filepath):
response = requests.get(url)
soup = BeautifulSoup(response.content, 'html.parser')
articles = soup.find_all('article') or soup.find_all('main') or soup.find_all('div', {'class': 'lia-message-body-content'})
if not articles:
return
markdown_content = ''
# scrape the webpage and perform OCR on images
for article in articles:
for child in article.recursiveChildGenerator():
# if this is an image, perform OCR
if child.name == 'img':
img_url = child.get('src')
if not img_url.startswith(('http:', 'https:')):
img_url = '{}{}'.format(url, img_url)
if not img_url.endswith('.svg') and not img_url.endswith('.png'):
continue
if 'neveragain.allstatics.com/2019/assets/icon/logo' in img_url:
continue
try:
img_response = requests.get(img_url, stream=True)
img = Image.open(BytesIO(img_response.content))
ocr_text = pytesseract.image_to_string(img)
if ocr_text.strip():
markdown_content += '\n```plaintext\n{}\n```\n'.format(ocr_text.strip())
continue
except PIL.UnidentifiedImageError:
print("unidentified image")
# Not an image, so continue recursively calling function
if child.name is None:
continue
html_str = str(child)
markdown_content += md(html_str) + '\n\n'
with open(doc_filepath, 'w', encoding='utf-8') as f:
f.write(markdown_content)
# process a URL and save the file
def process_url(url, doc_id, app):
doc_filepath = f"/content/drive/MyDrive/SourceDoc/{doc_id}_{app}.md"
txt_filepath = f"/content/drive/MyDrive/SourceDoc/{doc_id}_{app}.txt"
doc = Document()
if 'youtube.com' in url or 'youtu.be' in url:
download_and_clean_youtube_subtitles(url, txt_filepath)
elif 'superuser.com' in url:
superuser_to_markdown(url, doc_filepath)
elif 'stackoverflow.com' in url:
stack_overflow_to_markdown(url, doc_filepath)
else:
scrape_webpage_to_markdown(url, doc_filepath)
# read the CSV file and process each URL
csv_filepath = './Get_Source_Doc - Sheet1.csv'
with open(csv_filepath, 'r', newline='', encoding='utf-8') as csvfile:
reader = csv.DictReader(csvfile)
cnt = 55
for row in reader:
if cnt>0:
cnt -= 1
continue
process_url(row['Source'], row['id'], row['InvolvedApp'])
print(row)

293
resouce_collection/Source2Doc/source.py
View File

@@ -1,293 +0,0 @@
import csv
import os
import io
import fitz
import yt_dlp
from docx import Document
import requests
from bs4 import BeautifulSoup
from PIL import Image
import pytesseract
from io import BytesIO
from docx import Document
import re
import markdownify
from markdownify import markdownify as md
def download_pdf(url):
response = requests.get(url)
response.raise_for_status() # 确保请求是成功的
return io.BytesIO(response.content)
def pdf_to_markdown(pdf_stream, markdown_path):
document = fitz.open(stream=pdf_stream, filetype="pdf")
markdown_content = ""
for page_number in range(len(document)):
page = document[page_number]
text = page.get_text()
markdown_content += text + "\n\n"
# 提取图片并添加到 Markdown 文件。图片被保存在同一目录下
image_list = page.get_images(full=True)
if image_list:
markdown_content += f"### Page {page_number + 1} Images\n"
for img_index, image in enumerate(image_list, start=1):
# 提取图片
xref = image[0]
base64_image = document.extract_image(xref)
image_bytes = base64_image["image"]
# 写入图片到磁盘
image_filename = f"output_image_page_{page_number + 1}_{img_index}.png"
image_abs_path = os.path.join(os.path.dirname(markdown_path), image_filename)
with open(image_abs_path, "wb") as image_file:
image_file.write(image_bytes)
# 在 Markdown 文件中添加图片引用
markdown_content += f"![Page {page_number + 1} Image {img_index}]({image_filename})\n\n"
with open(markdown_path, "w", encoding="utf-8") as md_file:
md_file.write(markdown_content)
document.close()
def valid_xml_char_ordinal(c):
codepoint = ord(c)
# conditions ordered by presumed frequency
return (
0x20 <= codepoint <= 0xD7FF or
codepoint in (0x9, 0xA, 0xD) or
0xE000 <= codepoint <= 0xFFFD or
0x10000 <= codepoint <= 0x10FFFF
)
def download_and_clean_youtube_subtitles(video_url, txt_filepath):
# 设置yt-dlp库的选项来下载字幕
subtitles_path = txt_filepath[0:-4]
ydl_opts = {
'skip_download': True,
'writesubtitles': True,
'writeautomaticsub': True, # 如果视频没有字幕，尝试下载自动生成的字幕
'subtitleslangs': ['en'], # 下载英文字幕
'outtmpl': f'{subtitles_path}.%(ext)s', # 确保保存到可写目录
'quiet': True,
}
with yt_dlp.YoutubeDL(ydl_opts) as ydl:
# 获取视频信息，下载字幕文件
ydl.download([video_url])
subtitle_file = f'{subtitles_path}.en.vtt'
# 读取下载的字幕文件
subtitles = []
try:
with open(subtitle_file, 'r', encoding='utf-8') as file:
# 读取所有行
lines = file.readlines()
# 正则表达式匹配时间戳和其他不相关的标记
pattern = re.compile(r'(\d+:\d\d:\d\d.\d+ --> \d+:\d\d:\d\d.\d+)|(\s*<[^>]+>)')
# 去除时间戳和HTML标签等，只保留字幕文本
lines = [re.sub(pattern, '', line).strip() for line in lines if line.strip() and not pattern.match(line)]
# 清洗字幕
for line in lines:
# 如果这是一个时间线或者其他不需要的信息，跳过它
if pattern.match(line) or line.strip() == '':
continue
# 添加到字幕列表，同时去除愈加和前导空白符
subtitles.append(line.strip())
# 去除可能的重复行
subtitles = list(dict.fromkeys(subtitles))
# 保存至txt文件
with open(txt_filepath, 'w', encoding='utf-8') as f:
for line in subtitles:
if line: # 避免写入空行
f.write(line + '\n')
except IOError:
print(f"Could not read file: {subtitle_file}")
# 爬取论坛内容，对图片进行OCR处理，并保存为.docx文件
def scrape_and_ocr_forum(url, doc):
response = requests.get(url)
soup = BeautifulSoup(response.content, 'html.parser')
text_elements = soup.find_all(['h1', 'h2', 'h3', 'p', 'li'])
for element in text_elements:
doc.add_paragraph(element.get_text())
image_elements = soup.find_all('img')
for image in image_elements:
if 'src' not in image.attrs:
continue
image_url = image['src']
if image_url.startswith('http'):
if not image_url.endswith('.svg') and not image_url.endswith('.png'):
continue
if 'neveragain.allstatics.com/2019/assets/icon/logo' in image_url:
continue
img_response = requests.get(image_url, stream=True)
img = Image.open(BytesIO(img_response.content))
ocr_text = pytesseract.image_to_string(img)
if ocr_text != ' ' and ocr_text != '':
cleaned_string = ''.join(c for c in ocr_text if valid_xml_char_ordinal(c))
doc.add_paragraph(cleaned_string)
def superuser_to_markdown(url, doc_filepath):
response = requests.get(url)
soup = BeautifulSoup(response.content, 'html.parser')
# 创建Markdown文件的内容
markdown_content = ""
# 获取问题标题和内容
question_title = soup.find('h1').get_text(strip=True)
question = soup.find('div', {'id': 'question'})
if question:
question_body = question.find('div', {'class': 's-prose js-post-body'}).prettify()
markdown_content += f"# {question_title}\n\n" + markdownify.markdownify(question_body, heading_style="ATX") + "\n\n"
# 获取所有回答
answers = soup.find_all('div', {'class': 'answer'})
for answer in answers:
answer_body = answer.find('div', {'class': 's-prose js-post-body'}).prettify()
markdown_content += markdownify.markdownify(answer_body, heading_style="ATX") + "\n\n"
# 处理图片并执行OCR
all_img_tags = question.find_all('img') + [img for answer in answers for img in answer.find_all('img')]
for img_tag in all_img_tags:
image_src = img_tag.get('src') or img_tag.get('data-src') # Superuser使用延迟加载的图片
if image_src and image_src.startswith('http'):
img_response = requests.get(image_src, stream=True)
img = Image.open(BytesIO(img_response.content))
ocr_text = pytesseract.image_to_string(img)
if ocr_text.strip(): # 如果OCR结果非空，则添加到Markdown内容中
markdown_content += "```\n" + ocr_text.strip() + "\n```\n\n"
# 将Markdown内容写入文件
with open(doc_filepath, 'w', encoding='utf-8') as f:
f.write(markdown_content)
def stack_overflow_to_markdown(url, doc_filepath):
response = requests.get(url)
soup = BeautifulSoup(response.content, 'html.parser')
# 创建Markdown文件的内容
markdown_content = ""
# 获取问题标题和内容
question = soup.find('div', {'id': 'question'})
question_title = soup.find('h1').get_text(strip=True)
if question:
question_body = question.find('div', {'class': 's-prose js-post-body'}).prettify()
markdown_content += f"# {question_title}\n\n" + markdownify.markdownify(question_body, heading_style="ATX") + "\n\n"
# 获取所有回答
answers = soup.find_all('div', {'class': 'answer'})
for answer in answers:
answer_body = answer.find('div', {'class': 's-prose js-post-body'}).prettify()
markdown_content += markdownify.markdownify(answer_body, heading_style="ATX") + "\n\n"
# 处理图片并执行OCR
all_img_tags = soup.find_all('img')
for img_tag in all_img_tags:
image_url = img_tag['src']
if image_url.startswith('http') and (image_url.endswith('.svg') or image_url.endswith('.png')): # 确保图片URL有效
img_response = requests.get(image_url, stream=True)
img = Image.open(BytesIO(img_response.content))
ocr_text = pytesseract.image_to_string(img)
if ocr_text.strip(): # 如果OCR结果非空，则添加到Markdown内容中
markdown_content += "```\n" + ocr_text.strip() + "\n```\n\n"
# 将Markdown内容写入文件
with open(doc_filepath, 'w', encoding='utf-8') as f:
f.write(markdown_content)
def scrape_webpage_to_markdown(url, doc_filepath):
response = requests.get(url)
soup = BeautifulSoup(response.content, 'html.parser')
# 假设文章内容在 HTML 的 'article' 标签中，根据实际页面结构调整
articles = soup.find_all('article') or soup.find_all('main') or soup.find_all('div', {'id':'steps'}, {'class':'section_text'}) # 或其他包含主要内容的HTML标签
if not articles:
articles = soup.find_all('div', {'class': 'lia-message-body-content'})
markdown_content = ''
# 抓取所有图文信息
for article in articles:
for child in article.recursiveChildGenerator():
# 如果是图片，则进行OCR
if child.name == 'img':
img_url = child.get('src')
if not img_url:
continue
if not img_url.startswith(('http:', 'https:')):
img_url = '{}{}'.format(url, img_url)
if not img_url.endswith('.svg') and not img_url.endswith('.png'):
continue
if 'neveragain.allstatics.com/2019/assets/icon/logo' in img_url:
continue
print(img_url)
try:
img_response = requests.get(img_url, stream=True)
img = Image.open(BytesIO(img_response.content))
ocr_text = pytesseract.image_to_string(img)
if ocr_text.strip():
markdown_content += '\n```plaintext\n{}\n```\n'.format(ocr_text.strip())
continue
except PIL.UnidentifiedImageError:
print("unidentified image")
# 不是标签，可能是NavigableString或其他
if child.name is None:
continue
# 抓取标签并转换为Markdown
html_str = str(child)
markdown_content += md(html_str) + '\n\n'
# 写入markdown文件
with open(doc_filepath, 'w', encoding='utf-8') as f:
f.write(markdown_content)
# 处理单个URL
def process_url(url, doc_id, app):
doc_filepath = f"/content/drive/MyDrive/SourceDoc/{doc_id}_{app}.md"
txt_filepath = f"/content/drive/MyDrive/SourceDoc/{doc_id}_{app}.txt"
doc = Document()
if 'youtube.com' in url or 'youtu.be' in url:
download_and_clean_youtube_subtitles(url, txt_filepath)
elif url.endswith('.pdf'):
pdf_stream = download_pdf(url)
pdf_to_markdown(pdf_stream, doc_filepath)
elif 'superuser.com' in url or 'askubuntu.com' in url:
superuser_to_markdown(url, doc_filepath)
elif 'stackoverflow.com' in url:
stack_overflow_to_markdown(url, doc_filepath)
else:
scrape_webpage_to_markdown(url, doc_filepath)
# 读取CSV文件中的数据并执行对应操作
csv_filepath = '/content/Get_Source_Doc - Sheet1.csv' # 更新为你的CSV文件实际路径
with open(csv_filepath, 'r', newline='', encoding='utf-8') as csvfile:
reader = csv.DictReader(csvfile)
cnt = 176
for row in reader:
if cnt>0:
cnt -= 1
continue
process_url(row['Source'], row['id'], row['InvolvedApp'])
print(row)

17
resouce_collection/Tiktok/Ubuntu/get_ubuntu.py
View File

@@ -1,17 +0,0 @@
import requests
import json
url = "https://tiktok-download-video1.p.rapidapi.com/feedSearch"
querystring = {"keywords":"Ubuntu desktop","count":"10","cursor":"0","region":"US","publish_time":"0","sort_type":"1"}
headers = {
"X-RapidAPI-Key": "YOUR_API_KEY",
"X-RapidAPI-Host": "tiktok-download-video1.p.rapidapi.com"
}
response = requests.get(url, headers=headers, params=querystring)
print(response.json())
with open("./record_1.json", "w") as f:
json.dump(response.json(), f)

506
resouce_collection/Tiktok/Ubuntu/record_1.json
View File

@@ -1,506 +0,0 @@
{
"code": 0,
"msg": "success",
"processed_time": 1.2181,
"data": {
"videos": [
{
"aweme_id": "v0f025gc0000cfdgkhbc77ufdvjieor0",
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"music": "https://sf16.tiktokcdn-us.com/obj/ies-music-tx/7089641612577409835.mp3",
"music_info": {
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"title": "original sound - stevenservo",
"play": "https://sf16.tiktokcdn-us.com/obj/ies-music-tx/7089641612577409835.mp3",
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"original": true,
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},
"commercial_video_info": "",
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"nickname": "StevenServo",
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},
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],
"cursor": 10,
"hasMore": true
}
}

17
resouce_collection/Tiktok/VS_code/get_vscode.py
View File

@@ -1,17 +0,0 @@
import requests
import json
url = "https://tiktok-download-video1.p.rapidapi.com/feedSearch"
querystring = {"keywords":"VS code","count":"10","cursor":"0","region":"US","publish_time":"0","sort_type":"1"}
headers = {
"X-RapidAPI-Key": "YOUR_API_KEY",
"X-RapidAPI-Host": "tiktok-download-video1.p.rapidapi.com"
}
response = requests.get(url, headers=headers, params=querystring)
print(response.json())
with open("./record.json", "w") as f:
json.dump(response.json(), f)

373
resouce_collection/Tiktok/VS_code/record.json
View File

@@ -1,373 +0,0 @@
{
"code": 0,
"msg": "success",
"processed_time": 1.2462,
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},
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0
resouce_collection/Tiktok/__init__.py
View File

52
resouce_collection/youtube/LbreOffice_Impress/get_impress.py
View File

@@ -1,52 +0,0 @@
import json
import os
from googleapiclient.discovery import build
import socket
socket.setdefaulttimeout(500)
def search_youtube(api_key, query, max_results=50):
youtube = build('youtube', 'v3', developerKey=api_key)
search_response = youtube.search().list(
q=query,
part="id,snippet",
maxResults=max_results,
type="video"
).execute()
videos = []
for search_result in search_response.get("items", []):
if search_result["id"]["kind"] == "youtube#video":
video_id = search_result["id"]["videoId"]
video_metadata = get_video_metadata(api_key, video_id)
videos.append(video_metadata)
return videos
def get_video_metadata(api_key, video_id):
youtube = build('youtube', 'v3', developerKey=api_key)
request = youtube.videos().list(
part="snippet,contentDetails,statistics",
id=video_id
)
response = request.execute()
return response
api_key = 'AIzaSyDI_BBExs-HypVZFxgnR5tj5S6-uKyU4vk' # Replace with your actual API key
# Search for videos related to "VLC player"
vlc_related_videos = search_youtube(api_key, "LibreOffice Impress Tutorial", max_results=10)
# create data folder if not exist
if not os.path.exists("data"):
os.makedirs("data")
for video in vlc_related_videos:
# store the video metadata into a json file
with open(f"data/{video['etag']}.json", "w") as f:
json.dump(video, f, indent=4)

52
resouce_collection/youtube/LibreOffice_Calc/get_calc.py
View File

@@ -1,52 +0,0 @@
import json
import os
from googleapiclient.discovery import build
import socket
socket.setdefaulttimeout(500)
def search_youtube(api_key, query, max_results=50):
youtube = build('youtube', 'v3', developerKey=api_key)
search_response = youtube.search().list(
q=query,
part="id,snippet",
maxResults=max_results,
type="video"
).execute()
videos = []
for search_result in search_response.get("items", []):
if search_result["id"]["kind"] == "youtube#video":
video_id = search_result["id"]["videoId"]
video_metadata = get_video_metadata(api_key, video_id)
videos.append(video_metadata)
return videos
def get_video_metadata(api_key, video_id):
youtube = build('youtube', 'v3', developerKey=api_key)
request = youtube.videos().list(
part="snippet,contentDetails,statistics",
id=video_id
)
response = request.execute()
return response
api_key = 'AIzaSyDI_BBExs-HypVZFxgnR5tj5S6-uKyU4vk' # Replace with your actual API key
# Search for videos related to "VLC player"
vlc_related_videos = search_youtube(api_key, "LibreOffice Calc Tutorial", max_results=10)
# create data folder if not exist
if not os.path.exists("data"):
os.makedirs("data")
for video in vlc_related_videos:
# store the video metadata into a json file
with open(f"data/{video['etag']}.json", "w") as f:
json.dump(video, f, indent=4)

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resouce_collection/youtube/Thunderbird/get_thunderbird.py
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import json
import os
from googleapiclient.discovery import build
import socket
socket.setdefaulttimeout(500)
def search_youtube(api_key, query, max_results=50):
youtube = build('youtube', 'v3', developerKey=api_key)
search_response = youtube.search().list(
q=query,
part="id,snippet",
maxResults=max_results,
type="video"
).execute()
videos = []
for search_result in search_response.get("items", []):
if search_result["id"]["kind"] == "youtube#video":
video_id = search_result["id"]["videoId"]
video_metadata = get_video_metadata(api_key, video_id)
videos.append(video_metadata)
return videos
def get_video_metadata(api_key, video_id):
youtube = build('youtube', 'v3', developerKey=api_key)
request = youtube.videos().list(
part="snippet,contentDetails,statistics",
id=video_id
)
response = request.execute()
return response
api_key = 'AIzaSyDI_BBExs-HypVZFxgnR5tj5S6-uKyU4vk' # Replace with your actual API key
# Search for videos related to "VLC player"
vlc_related_videos = search_youtube(api_key, "Thunderbird Tutorial", max_results=10)
# create data folder if not exist
if not os.path.exists("data"):
os.makedirs("data")
for video in vlc_related_videos:
# store the video metadata into a json file
with open(f"data/{video['etag']}.json", "w") as f:
json.dump(video, f, indent=4)

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resouce_collection/youtube/Ubuntu/get_ubuntu.py
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@@ -1,52 +0,0 @@
import json
import os
from googleapiclient.discovery import build
import socket
socket.setdefaulttimeout(500)
def search_youtube(api_key, query, max_results=50):
youtube = build('youtube', 'v3', developerKey=api_key)
search_response = youtube.search().list(
q=query,
part="id,snippet",
maxResults=max_results,
type="video"
).execute()
videos = []
for search_result in search_response.get("items", []):
if search_result["id"]["kind"] == "youtube#video":
video_id = search_result["id"]["videoId"]
video_metadata = get_video_metadata(api_key, video_id)
videos.append(video_metadata)
return videos
def get_video_metadata(api_key, video_id):
youtube = build('youtube', 'v3', developerKey=api_key)
request = youtube.videos().list(
part="snippet,contentDetails,statistics",
id=video_id
)
response = request.execute()
return response
api_key = 'AIzaSyDI_BBExs-HypVZFxgnR5tj5S6-uKyU4vk' # Replace with your actual API key
# Search for videos related to "VLC player"
vlc_related_videos = search_youtube(api_key, "Ubuntu Desktop Tutorial", max_results=10)
# create data folder if not exist
if not os.path.exists("data"):
os.makedirs("data")
for video in vlc_related_videos:
# store the video metadata into a json file
with open(f"data/{video['etag']}.json", "w") as f:
json.dump(video, f, indent=4)

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resouce_collection/youtube/__init__.py
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resouce_collection/youtube/vlc_player/__init__.py
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resouce_collection/youtube/vlc_player/vlc_player.py
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@@ -1,65 +0,0 @@
import json
import os
from googleapiclient.discovery import build
def search_youtube(api_key, query, max_results=50, language="en"):
youtube = build('youtube', 'v3', developerKey=api_key)
videos = []
next_page_token = None
total_results = 0
while True:
search_response = youtube.search().list(
q=query,
part="id,snippet",
maxResults=max_results,
pageToken=next_page_token,
type="video",
relevanceLanguage=language
).execute()
video_ids = [item['id']['videoId'] for item in search_response.get("items", []) if
item['id']['kind'] == 'youtube#video']
# Fetch metadata for each video
videos.extend([get_video_metadata(api_key, video_id) for video_id in video_ids])
total_results += len(video_ids)
next_page_token = search_response.get('nextPageToken')
if not next_page_token or total_results >= max_results:
break
# Sort videos by view count
sorted_videos = sorted(videos, key=lambda x: int(x['items'][0]['statistics']['viewCount']), reverse=True)
return sorted_videos
def get_video_metadata(api_key, video_id):
youtube = build('youtube', 'v3', developerKey=api_key)
request = youtube.videos().list(
part="snippet,contentDetails,statistics",
id=video_id
)
response = request.execute()
return response
api_key = 'API_KEY' # Replace with your actual API key
# Search for videos related to "VLC player"
vlc_related_videos = search_youtube(api_key, "VLC player", max_results=10)
# create data folder if not exist
if not os.path.exists("data"):
os.makedirs("data")
for video in vlc_related_videos:
# store the video metadata into a json file
with open(f"data/{video['etag']}.json", "w") as f:
json.dump(video, f, indent=4)

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run.py
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@@ -216,6 +216,8 @@ def get_unfinished(action_space, use_model, observation_type, result_dir, total_
domain_path = os.path.join(target_dir, domain)
if os.path.isdir(domain_path):
for example_id in os.listdir(domain_path):
if example_id == "onboard":
continue
example_path = os.path.join(domain_path, example_id)
if os.path.isdir(example_path):
if "result.txt" not in os.listdir(example_path):

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settings.json
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{
"time_limit": "1800"
"time_limit": "3600"
}

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utils/__init__.py
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utils/complex_clicking.jsonl
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utils/ducktrack.py
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import sys, pathlib;
sys.path.append(str(pathlib.Path(__file__).parents[1]))
import os
import math
import json
import numpy as np
from typing import List
from copy import deepcopy
pynput2pyautogui_key = {
"alt_l": "altleft",
"alt_r": "altright",
}
COMMAND_KEYS = ['accept', 'add', 'alt', 'altleft', 'altright', 'apps', 'backspace', 'browserback', 'browserfavorites', 'browserforward', 'browserhome', 'browserrefresh', 'browsersearch', 'browserstop', 'capslock', 'clear', 'convert', 'ctrl', 'ctrlleft', 'ctrlright', 'decimal', 'del', 'delete', 'divide', 'down', 'end', 'enter', 'esc', 'escape', 'execute', 'f1', 'f10', 'f11', 'f12', 'f13', 'f14', 'f15', 'f16', 'f17', 'f18', 'f19', 'f2', 'f20', 'f21', 'f22', 'f23', 'f24', 'f3', 'f4', 'f5', 'f6', 'f7', 'f8', 'f9', 'final', 'fn', 'hanguel', 'hangul', 'hanja', 'help', 'home', 'insert', 'junja', 'kana', 'kanji', 'launchapp1', 'launchapp2', 'launchmail', 'launchmediaselect', 'left', 'modechange', 'multiply', 'nexttrack', 'nonconvert', 'num0', 'num1', 'num2', 'num3', 'num4', 'num5', 'num6', 'num7', 'num8', 'num9', 'numlock', 'pagedown', 'pageup', 'pause', 'pgdn', 'pgup', 'playpause', 'prevtrack', 'print', 'printscreen', 'prntscrn', 'prtsc', 'prtscr', 'return', 'right', 'scrolllock', 'select', 'separator', 'shift', 'shiftleft', 'shiftright', 'sleep', 'stop', 'subtract', 'tab', 'up', 'volumedown', 'volumemute', 'volumeup', 'win', 'winleft', 'winright', 'yen', 'command', 'option', 'optionleft', 'optionright', 'alt_l', 'alt_r']
typingkey2str = {
"space" : " ",
}
class DuckTrackEventActionConverter:
def __init__(self, ):
""""""
### Enumerations ###
def move_event_to_action(self, event: dict, action_space: str = "computer_13"):
"""Converts a mouse move event to its corresponding action."""
if action_space == "computer_13":
return {
"action_type": "MOVE_TO",
"parameters": {
"x": event["x"],
"y": event["y"]
}
}
elif action_space == "pyautogui":
return "pyautogui.moveTo({}, {})".format(event["x"], event["y"])
def click_event_to_action(self, event: dict, action_space: str = "computer_13"):
"""Converts a mouse click event to its corresponding action."""
action = {
"action_type": None,
"parameters": {
"button": None
}
}
mouse_button = event["button"]
mouse_pressed = event["pressed"]
if mouse_pressed:
action["action_type"] = "MOUSE_DOWN"
elif not mouse_pressed:
action["action_type"] = "MOUSE_UP"
else:
raise NotImplementedError(mouse_pressed)
if mouse_button in ["left", "right", "middle"]:
action["parameters"]["button"] = mouse_button
else:
raise NotImplementedError(mouse_button)
return action
def press_event_to_action(self, event: dict, action_space: str = "computer_13"):
"""Converts a key down event to its corresponding action."""
# NOTE: the `key down`, `press` have the same meaning here, while different in pyautogui
return {
"action_type": "KEY_DOWN",
"parameters": {
"key": event["name"] if event["name"] not in pynput2pyautogui_key else pynput2pyautogui_key[
event["name"]]
}
}
def release_event_to_action(self, event: dict, action_space: str = "computer_13"):
"""Converts a key release event to its corresponding action."""
return {
"action_type": "KEY_UP",
"parameters": {
"key": event["name"] if event["name"] not in pynput2pyautogui_key else pynput2pyautogui_key[
event["name"]]
}
}
def scroll_event_to_action(self, event: dict, action_space: str = "computer_13"):
"""Converts a scroll event to its corresponding action."""
return {
"action_type": "SCROLL",
"parameters": {
"dx": event["dx"],
"dy": event["dy"]
}
}
def event_to_action(self, event: dict, action_space: str = "computer_13"):
"""Converts an event to its corresponding action based on the event type."""
if event["action"] == "move":
return self.move_event_to_action(event)
elif event["action"] == "click":
return self.click_event_to_action(event)
elif event["action"] == "press":
return self.press_event_to_action(event)
elif event["action"] == "release":
return self.release_event_to_action(event)
elif event["action"] == "scroll":
return self.scroll_event_to_action(event)
else:
raise NotImplementedError(event["action"])
### Compressing ###
def compress_mouse_move(self, data: List[dict], index: int):
"""Compresses consecutive mouse move events into the last move events."""
last_move = data[index]
while index < len(data) and data[index]["action"] == "move":
last_move = data[index]
index += 1
return last_move, index
def compress_scroll(self, data: List[dict], index: int):
"""Compresses consecutive scroll events into a single scroll event."""
last_scroll = data[index]
consecutive_dx, consecutive_dy = data[index]["dx"], data[index]["dy"]
while index < len(data) and data[index]["action"] == "scroll" and np.sign(data[index]["dx"]) == np.sign(consecutive_dx) and np.sign(data[index]["dy"]) == np.sign(consecutive_dy):
last_scroll = data[index]
consecutive_dx += data[index]["dx"]
consecutive_dy += data[index]["dy"]
index += 1
last_scroll["dx"], last_scroll["dy"] = consecutive_dx, consecutive_dy
return last_scroll, index
### Converting ###
def ducktrack_event_file_to_action(self, ducktrack_event_file: str, out_file: str, compress_move: bool = True, compress_scroll: bool = True, compress_click: bool = True,compress_drag: bool = True, compress_press_key: bool = True, compress_typing: bool = True):
"""Converts DuckTrack event data to a list of actions and saves them to a file."""
if not os.path.exists(ducktrack_event_file):
raise FileNotFoundError(ducktrack_event_file)
with open(ducktrack_event_file, 'r') as file:
events = [json.loads(line) for line in file]
# Save the compressed actions in a list
result = []
index = 0
presses_to_skip = 0
releases_to_skip = 0
move_to_skip = 0
keys_pressed = []
# Compress the mouse move events
while index < len(events):
event = events[index]
def do_mouse_press(button: str, _index: int):
num_clicks = 0
mouse_pressed = True
skip_move = 0
click_x, click_y = event["x"], event["y"]
for j, next_event in enumerate(events[index + 1:]):
# make sure the time between mouse clicks is less than 500ms
if next_event["time_stamp"] - event["time_stamp"] > 0.5:
if num_clicks > 0:
if result[-1:][0]["action_type"] == "MOVE_TO":
result.pop()
result.append({
"action_type": "CLICK",
"parameters": {
"button": button,
"x" : click_x,
"y" : click_y,
"num_clicks": num_clicks
}
})
return num_clicks-1, num_clicks, _index, skip_move
break
if "x" in next_event and "y" in next_event:
# if the mouse moves out of the click radius/rectangle, it is not a click sequence
if math.sqrt((next_event["y"] - event["y"]) ** 2 +
(next_event["x"] - event["x"]) ** 2) > 4:
if num_clicks > 0:
if result[-1:][0]["action_type"] == "MOVE_TO":
result.pop()
result.append({
"action_type": "CLICK",
"parameters": {
"button": button,
"x" : click_x,
"y" : click_y,
"num_clicks": num_clicks
}
})
return num_clicks-1, num_clicks, _index, skip_move
break
if next_event["action"] == "click" and compress_click:
if not next_event["pressed"]:
num_clicks += 1
mouse_pressed = False
if num_clicks == 3:
if result[-1:][0]["action_type"] == "MOVE_TO":
result.pop()
result.append({
"action_type": "CLICK",
"parameters": {
"button": button,
"x" : click_x,
"y" : click_y,
"num_clicks": 3
}
})
return 2, 3, _index, skip_move
elif next_event["pressed"]:
mouse_pressed = True
else:
raise NotImplementedError(next_event["pressed"])
elif next_event["action"] != "click" and not mouse_pressed:
if next_event["action"] == "move":
if next_event["x"] == click_x and next_event["y"] == click_y:
skip_move += 1
continue
if result[-1:][0]["action_type"] == "MOVE_TO":
result.pop()
result.append({
"action_type": "CLICK",
"parameters": {
"button": button,
"x" : click_x,
"y" : click_y,
"num_clicks": num_clicks
}
})
return num_clicks-1, num_clicks, _index, skip_move
# Compress {MOUSE_DOWN, MOVE, MOUSE_UP} into DRAG_TO event
elif next_event["action"] == "move" and compress_drag:
if next_event["x"] == click_x and next_event["y"] == click_y:
skip_move += 1
continue
last_move, _index = self.compress_mouse_move(events, _index+1)
result.append({
"action_type": "DRAG_TO",
"parameters": {
"x": last_move["x"],
"y": last_move["y"]
}
})
return 0, 1, _index, skip_move
result.append({
"action_type": "MOUSE_DOWN",
"parameters": {
"button": button
}
})
return 0, 0, _index, skip_move
if event["action"] == "move":
if move_to_skip > 0:
move_to_skip -= 1
index += 1
continue
if compress_move:
last_move, index = self.compress_mouse_move(events, index)
result.extend([self.event_to_action(last_move)])
elif event["action"] == "scroll" and compress_scroll:
last_scroll, index = self.compress_scroll(events, index)
result.extend([self.event_to_action(last_scroll)])
elif event["action"] == "click":
button = event["button"]
if event["pressed"]:
if presses_to_skip == 0:
presses, releases, index, moves = do_mouse_press(button, index)
presses_to_skip += presses
releases_to_skip += releases
move_to_skip += moves
else:
presses_to_skip -= 1
else:
if releases_to_skip == 0:
result.append({
"action_type": "MOUSE_UP",
"parameters": {
"button": button
}
})
else:
releases_to_skip -= 1
index += 1
elif event["action"] == "press" and event["name"] not in COMMAND_KEYS and compress_typing:
typing_words = ""
while index < len(events) and events[index]["action"] in ["press", "release"] and events[index]["name"] not in COMMAND_KEYS:
if events[index]["action"] == "press":
keys_pressed.append(events[index]["name"])
typing_words += events[index]["name"] if events[index]["name"] not in typingkey2str else typingkey2str[events[index]["name"]]
elif events[index]["action"] == "release":
keys_pressed.remove(events[index]["name"])
index += 1
if len(typing_words) > 1:
result.append({
"action_type": "TYPING",
"parameters": {
"text": typing_words
}
})
else:
result.append({
"action_type": "PRESS",
"parameters": {
"key": typing_words
}
})
elif event["action"] == "press" and compress_press_key:
keys_pressed.append(event["name"])
result.append({
"action_type": "PRESS",
"parameters": {
"key": event["name"] if event["name"] not in pynput2pyautogui_key else pynput2pyautogui_key[
event["name"]]
}
})
index += 1
elif event["action"] == "release" and compress_press_key:
keys_pressed.remove(event["name"])
index += 1
else:
result.append(self.event_to_action(event))
index += 1
with open(out_file, "w") as f:
json.dump(result, f)
if __name__ == "__main__":
converter = DuckTrackEventActionConverter()
converter.ducktrack_event_file_to_action(
ducktrack_event_file="complex_clicking.jsonl",
out_file="complex_clicking5.json",
compress_move=True,
compress_scroll=True,
compress_click=True,
compress_drag=True,
compress_press_key=True,
compress_typing=True,
)

111
utils/events_calc.json
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@@ -1,111 +0,0 @@
[
{
"action_type": "MOVE_TO",
"parameters": {
"x": 152,
"y": 259
}
},
{
"action_type": "MOUSE_DOWN",
"parameters": {
"button": "left"
}
},
{
"action_type": "MOVE_TO",
"parameters": {
"x": 464,
"y": 317
}
},
{
"action_type": "MOUSE_UP",
"parameters": {
"button": "left"
}
},
{
"action_type": "MOVE_TO",
"parameters": {
"x": 466,
"y": 317
}
},
{
"action_type": "KEY_DOWN",
"parameters": {
"key": "altleft"
}
},
{
"action_type": "KEY_DOWN",
"parameters": {
"key": "="
}
},
{
"action_type": "KEY_UP",
"parameters": {
"key": "="
}
},
{
"action_type": "KEY_UP",
"parameters": {
"key": "altleft"
}
},
{
"action_type": "MOVE_TO",
"parameters": {
"x": 709,
"y": 1047
}
},
{
"action_type": "MOUSE_DOWN",
"parameters": {
"button": "left"
}
},
{
"action_type": "MOVE_TO",
"parameters": {
"x": 709,
"y": 1047
}
},
{
"action_type": "MOUSE_UP",
"parameters": {
"button": "left"
}
},
{
"action_type": "MOVE_TO",
"parameters": {
"x": 717,
"y": 304
}
},
{
"action_type": "MOUSE_DOWN",
"parameters": {
"button": "left"
}
},
{
"action_type": "MOVE_TO",
"parameters": {
"x": 717,
"y": 304
}
},
{
"action_type": "MOUSE_UP",
"parameters": {
"button": "left"
}
}
]

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utils/events_calc.jsonl
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@@ -1,423 +0,0 @@
{"time_stamp": 21028.2899763, "action": "move", "x": 686, "y": 306}
{"time_stamp": 21028.2965794, "action": "move", "x": 684, "y": 306}
{"time_stamp": 21028.3046644, "action": "move", "x": 678, "y": 306}
{"time_stamp": 21028.3126807, "action": "move", "x": 670, "y": 306}
{"time_stamp": 21028.3208329, "action": "move", "x": 661, "y": 306}
{"time_stamp": 21028.3288313, "action": "move", "x": 645, "y": 306}
{"time_stamp": 21028.336626, "action": "move", "x": 625, "y": 306}
{"time_stamp": 21028.3445457, "action": "move", "x": 603, "y": 305}
{"time_stamp": 21028.3527487, "action": "move", "x": 574, "y": 303}
{"time_stamp": 21028.3606394, "action": "move", "x": 544, "y": 301}
{"time_stamp": 21028.3688565, "action": "move", "x": 508, "y": 300}
{"time_stamp": 21028.3768381, "action": "move", "x": 471, "y": 298}
{"time_stamp": 21028.3848709, "action": "move", "x": 430, "y": 296}
{"time_stamp": 21028.3926563, "action": "move", "x": 389, "y": 296}
{"time_stamp": 21028.4009164, "action": "move", "x": 348, "y": 296}
{"time_stamp": 21028.4089388, "action": "move", "x": 313, "y": 296}
{"time_stamp": 21028.4171707, "action": "move", "x": 280, "y": 296}
{"time_stamp": 21028.4245847, "action": "move", "x": 252, "y": 294}
{"time_stamp": 21028.4328148, "action": "move", "x": 225, "y": 294}
{"time_stamp": 21028.4406678, "action": "move", "x": 208, "y": 294}
{"time_stamp": 21028.4486998, "action": "move", "x": 192, "y": 294}
{"time_stamp": 21028.4568529, "action": "move", "x": 177, "y": 294}
{"time_stamp": 21028.4647334, "action": "move", "x": 163, "y": 293}
{"time_stamp": 21028.4729702, "action": "move", "x": 153, "y": 293}
{"time_stamp": 21028.4808044, "action": "move", "x": 143, "y": 293}
{"time_stamp": 21028.4889062, "action": "move", "x": 135, "y": 293}
{"time_stamp": 21028.4967676, "action": "move", "x": 130, "y": 293}
{"time_stamp": 21028.5050544, "action": "move", "x": 124, "y": 293}
{"time_stamp": 21028.5127317, "action": "move", "x": 120, "y": 293}
{"time_stamp": 21028.520827, "action": "move", "x": 117, "y": 293}
{"time_stamp": 21028.5289378, "action": "move", "x": 114, "y": 293}
{"time_stamp": 21028.5371078, "action": "move", "x": 111, "y": 293}
{"time_stamp": 21028.545514, "action": "move", "x": 107, "y": 293}
{"time_stamp": 21028.5527022, "action": "move", "x": 104, "y": 292}
{"time_stamp": 21028.5605384, "action": "move", "x": 100, "y": 292}
{"time_stamp": 21028.5686583, "action": "move", "x": 96, "y": 291}
{"time_stamp": 21028.5766951, "action": "move", "x": 90, "y": 291}
{"time_stamp": 21028.5847502, "action": "move", "x": 85, "y": 291}
{"time_stamp": 21028.5926223, "action": "move", "x": 79, "y": 290}
{"time_stamp": 21028.6007454, "action": "move", "x": 74, "y": 290}
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0
utils/image_processing/__init__.py
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34
utils/image_processing/contour.py
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@@ -1,34 +0,0 @@
import cv2
from matplotlib import pyplot as plt
# Load the image
image = cv2.imread('../../mm_agents/stackoverflow.png')
# Convert to grayscale
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
# Apply adaptive thresholding to get a binary image
thresh = cv2.adaptiveThreshold(
gray, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY_INV, 11, 2
)
# Find contours
contours, _ = cv2.findContours(thresh, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
# Filter out contours that are not of cell size
# This is done by assuming that cells will have a relatively standard size
# The size filter is just a placeholder, real values depend on the actual image size
min_cell_size = 500
max_cell_size = 5000
cell_contours = [cnt for cnt in contours if min_cell_size < cv2.contourArea(cnt) < max_cell_size]
# Draw contours on the image
contour_output = image.copy()
cv2.drawContours(contour_output, cell_contours, -1, (0, 255, 0), 2)
# Display the image with cell contours
plt.figure(figsize=(12,6))
plt.imshow(cv2.cvtColor(contour_output, cv2.COLOR_BGR2RGB))
plt.title('Spreadsheet with Cell Contours')
plt.axis('off')
plt.show()

32
utils/image_processing/mark_point.py
View File

@@ -1,32 +0,0 @@
from PIL import Image, ImageDraw
def mark_point(image_path: str, x: int, y: int, radius: int = 5, color: str = 'red') -> str:
"""
Mark a point on an image and save the image.
"""
# Load the image
image = Image.open(image_path)
# Create a draw object
draw = ImageDraw.Draw(image)
# Draw a small circle to mark the point
draw.ellipse((x - radius, y - radius, x + radius, y + radius), fill=color, outline=color)
# Save the image with the point marked
marked_image_path = image_path[:-4] + '_marked' + image_path[-4:]
image.save(marked_image_path)
return marked_image_path
if __name__ == '__main__':
image_path = 'chrome_start.png'
x = 100
y = 200
radius = 30
color = 'red'
marked_image_path = mark_point(image_path, x, y, radius, color)
print(f"Marked image saved to {marked_image_path}")

32
utils/image_processing/point_marking.py
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@@ -1,32 +0,0 @@
from PIL import Image, ImageDraw
def mark_point(image_path: str, x: int, y: int, radius: int = 5, color: str = 'red') -> str:
"""
Mark a point on an image and save the image.
"""
# Load the image
image = Image.open(image_path)
# Create a draw object
draw = ImageDraw.Draw(image)
# Draw a small circle to mark the point
draw.ellipse((x - radius, y - radius, x + radius, y + radius), fill=color, outline=color)
# Save the image with the point marked
marked_image_path = image_path[:-4] + '_marked' + image_path[-4:]
image.save(marked_image_path)
return marked_image_path
if __name__ == '__main__':
image_path = 'chrome_start.png'
x = 100
y = 200
radius = 30
color = 'red'
marked_image_path = mark_point(image_path, x, y, radius, color)
print(f"Marked image saved to {marked_image_path}")

3144
utils/output.json
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13401
utils/sample.jsonl
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30
vscodeEvalExtension/.eslintrc.json
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@@ -1,30 +0,0 @@
{
"root": true,
"parser": "@typescript-eslint/parser",
"parserOptions": {
"ecmaVersion": 6,
"sourceType": "module"
},
"plugins": [
"@typescript-eslint"
],
"rules": {
"@typescript-eslint/naming-convention": [
"warn",
{
"selector": "import",
"format": [ "camelCase", "PascalCase" ]
}
],
"@typescript-eslint/semi": "warn",
"curly": "warn",
"eqeqeq": "warn",
"no-throw-literal": "warn",
"semi": "off"
},
"ignorePatterns": [
"out",
"dist",
"**/*.d.ts"
]
}

5
vscodeEvalExtension/.vscode-test.mjs
View File

@@ -1,5 +0,0 @@
import { defineConfig } from '@vscode/test-cli';
export default defineConfig({
files: 'out/test/**/*.test.js',
});

8
vscodeEvalExtension/.vscode/extensions.json vendored
View File

@@ -1,8 +0,0 @@
{
// See http://go.microsoft.com/fwlink/?LinkId=827846
// for the documentation about the extensions.json format
"recommendations": [
"dbaeumer.vscode-eslint",
"ms-vscode.extension-test-runner"
]
}

21
vscodeEvalExtension/.vscode/launch.json vendored
View File

@@ -1,21 +0,0 @@
// A launch configuration that compiles the extension and then opens it inside a new window
// Use IntelliSense to learn about possible attributes.
// Hover to view descriptions of existing attributes.
// For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387
{
"version": "0.2.0",
"configurations": [
{
"name": "Run Extension",
"type": "extensionHost",
"request": "launch",
"args": [
"--extensionDevelopmentPath=${workspaceFolder}"
],
"outFiles": [
"${workspaceFolder}/out/**/*.js"
],
"preLaunchTask": "${defaultBuildTask}"
}
]
}

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