fabric as a CLI; poetry for dep management with latest versions; gitignore re-added
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.gitignore
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.gitignore
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# macOS local stores
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.DS_Store
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# Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[cod]
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*$py.class
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# C extensions
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*.so
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# Distribution / packaging
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.Python
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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wheels/
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share/python-wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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MANIFEST
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# PyInstaller
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# Usually these files are written by a python script from a template
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# before PyInstaller builds the exe, so as to inject date/other infos into it.
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*.manifest
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*.spec
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# Installer logs
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pip-log.txt
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pip-delete-this-directory.txt
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# Unit test / coverage reports
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htmlcov/
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.tox/
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.nox/
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.coverage
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.coverage.*
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.cache
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nosetests.xml
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coverage.xml
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*.cover
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*.py,cover
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.hypothesis/
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.pytest_cache/
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cover/
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# Translations
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*.mo
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*.pot
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# Django stuff:
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*.log
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local_settings.py
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db.sqlite3
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db.sqlite3-journal
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# Flask stuff:
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instance/
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.webassets-cache
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# Scrapy stuff:
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.scrapy
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# Sphinx documentation
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docs/_build/
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# PyBuilder
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.pybuilder/
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target/
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# Jupyter Notebook
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.ipynb_checkpoints
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# IPython
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profile_default/
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ipython_config.py
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# pyenv
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# For a library or package, you might want to ignore these files since the code is
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# intended to run in multiple environments; otherwise, check them in:
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# .python-version
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# pipenv
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# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
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# However, in case of collaboration, if having platform-specific dependencies or dependencies
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# having no cross-platform support, pipenv may install dependencies that don't work, or not
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# install all needed dependencies.
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#Pipfile.lock
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# poetry
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# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
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# This is especially recommended for binary packages to ensure reproducibility, and is more
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# commonly ignored for libraries.
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# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
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#poetry.lock
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# pdm
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# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
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#pdm.lock
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# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
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# in version control.
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# https://pdm.fming.dev/#use-with-ide
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.pdm.toml
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# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
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__pypackages__/
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# Celery stuff
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celerybeat-schedule
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celerybeat.pid
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# SageMath parsed files
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*.sage.py
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# Environments
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.env
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.venv
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env/
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venv/
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ENV/
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env.bak/
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venv.bak/
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# Spyder project settings
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.spyderproject
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.spyproject
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# Rope project settings
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.ropeproject
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# mkdocs documentation
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/site
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# mypy
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.mypy_cache/
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.dmypy.json
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dmypy.json
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# Pyre type checker
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.pyre/
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# pytype static type analyzer
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.pytype/
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# Cython debug symbols
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cython_debug/
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# PyCharm
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# JetBrains specific template is maintained in a separate JetBrains.gitignore that can
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# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
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# and can be added to the global gitignore or merged into this file. For a more nuclear
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# option (not recommended) you can uncomment the following to ignore the entire idea folder.
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#.idea/
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@ -24,21 +24,22 @@ You can use the client in three different modes:
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`git clone git@github.com:danielmiessler/fabric.git`
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2. Navigate to the client's directory:
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`cd client`
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3. Set up a virtual environment:
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`python3 -m venv .venv`
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`source .venv/bin/activate`
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3. Install poetry (if you don't have it already)
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`pip3 install poetry`
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4. Install the required packages:
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`pip install -r requirements.txt`
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5. Copy to path:
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`echo export PATH=$PATH:$(pwd)` >> .bashrc` # or .zshrc
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6. Copy your OpenAI API key to the `.env` file in your `nvim ~/.config/fabric/` directory (or create that file and put it in)
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`poetry install`
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5. Activate the virtual environment:
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`poetry shell`
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6. Copy to path:
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`echo export PATH=$PATH:$(pwd) >> ~/.bashrc` # or .zshrc
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7. Copy your OpenAI API key to the `.env` file in your `nvim ~/.config/fabric/` directory (or create that file and put it in)
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`OPENAI_API_KEY=[Your_API_Key]`
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## Usage
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To use `fabric`, call it with your desired options:
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To use `fabric`, call it with your desired options (remember to activate the virtual environment with `poetry shell` - step 5 above):
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python fabric.py [options]
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fabric [options]
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Options include:
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--pattern, -p: Select the module for analysis.
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1
client/fabric/__init__.py
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1
client/fabric/__init__.py
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from .fabric import main
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#!/usr/bin/env python3
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from utils import Standalone, Update, Setup
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from .utils import Standalone, Update, Setup
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import argparse
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import sys
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import os
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@ -8,8 +6,7 @@ import os
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script_directory = os.path.dirname(os.path.realpath(__file__))
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if __name__ == "__main__":
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def main():
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parser = argparse.ArgumentParser(
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description="An open source framework for augmenting humans using AI."
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)
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standalone.streamMessage(text)
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else:
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standalone.sendMessage(text)
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if __name__ == "__main__":
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main()
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client/poetry.lock
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1330
client/poetry.lock
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Load Diff
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client/pyproject.toml
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client/pyproject.toml
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[tool.poetry]
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name = "fabric"
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version = "0.1.0"
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description = "Fabric client"
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authors = [
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"Daniel Miessler <https://github.com/danielmiessler>",
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"Jonathan Dunn <https://github.com/xssdoctor>",
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"Scott Behrens <https://github.com/sbehrens>",
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]
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readme = "README.md"
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[tool.poetry.dependencies]
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python = "^3.10"
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pyyaml = "^6.0.1"
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requests = "^2.31.0"
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pyperclip = "^1.8.2"
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python-socketio = "^5.11.0"
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websocket-client = "^1.7.0"
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flask = "^3.0.2"
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flask-sqlalchemy = "^3.1.1"
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flask-login = "^0.6.3"
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flask-jwt-extended = "^4.6.0"
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python-dotenv = "^1.0.1"
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openai = "^1.11.0"
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flask-socketio = "^5.3.6"
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flask-sock = "^0.7.0"
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gunicorn = "^21.2.0"
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gevent = "^23.9.1"
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httpx = "^0.26.0"
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tqdm = "^4.66.1"
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[build-system]
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requires = ["poetry-core"]
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build-backend = "poetry.core.masonry.api"
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# Turns this into a poetry install CLI command
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[tool.poetry.scripts]
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fabric = 'fabric:main'
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pyyaml
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requests
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pyperclip
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python-socketio
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websocket-client
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flask
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flask_sqlalchemy
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flask_login
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flask_jwt_extended
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python-dotenv
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openai
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flask-socketio
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flask-sock
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gunicorn
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gevent
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httpx
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tqdm
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