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Packaging for LogIntegration (#10122)
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{ | ||
// See https://go.microsoft.com/fwlink/?LinkId=827846 to learn about workspace recommendations. | ||
// Extension identifier format: ${publisher}.${name}. Example: vscode.csharp | ||
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// List of extensions which should be recommended for users of this workspace. | ||
"recommendations": [ | ||
"donjayamanne.python-extension-pack", | ||
"teticio.python-envy", | ||
"ms-toolsai.jupyter", | ||
"ms-python.pylint", | ||
"ms-python.isort", | ||
"wmiller4.python-venv-switcher", | ||
"zeshuaro.vscode-python-poetry", | ||
"tamasfe.even-better-toml", | ||
"editorconfig.editorconfig", | ||
"olleln.pyrefact", | ||
"littlefoxteam.vscode-python-test-adapter", | ||
"franneck94.vscode-python-config" | ||
], | ||
// List of extensions recommended by VS Code that should not be recommended for users of this workspace. | ||
"unwantedRecommendations": [ | ||
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] | ||
} |
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A package for identifying nuget clients from user agents | ||
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### Local setup | ||
To setup your local environment, you'll need Python 3.10 or later installed machine-wide, [pipx](https://pipx.pypa.io/stable/), and [Poetry](https://python-poetry.org/) (installed with pipx). | ||
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On Windows, [Scoop](https://scoop.sh/) is the easiest way to install Python. | ||
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Install pipx as per the [instructions](https://pipx.pypa.io/latest/installation/). On Windows, Scoop is the easiest way to install Python and pipx. Once you have pipx, you can use it to install poetry. | ||
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### Activating your python environment | ||
In your CLI, go to the `python/StatsLogParser` directory and then run `poetry install` to create the virtual environment and install dependencies into it. | ||
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### Dev and Test | ||
VS Code is recommended -- open the `python/StatsLogParser` folder and ensure you have the Python extensions installed. Poetry extensions are recommended too for environment activation. Testing is with pytest. | ||
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### Dependencies | ||
Dependencies are in the `pyproject.toml` file. If you add/update dependencies, run `poetry export -f requirements.txt --output requirements.txt` to update the `requirements.txt` as both the that file and the `whl` will be needed for Spark. | ||
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### Building the wheel | ||
Run poetry build from the CLI and it'll build the wheel package in `dist`. |
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[tool.poetry] | ||
name = "loginterpretation" | ||
version = "0.1.0" | ||
description = "Helper functions for parsing CDN logs to generate statistics" | ||
authors = ["NuGet Server Team Engineering <[email protected]>"] | ||
readme = "README.md" | ||
license = "Apache-2.0" | ||
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[tool.poetry.dependencies] | ||
python = "^3.10" | ||
pyyaml = "^6.0.2" | ||
ua-parser = "^0.18.0" | ||
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[tool.poetry.group.test.dependencies] | ||
pytest = "^8.3.2" | ||
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[build-system] | ||
requires = ["poetry-core"] | ||
build-backend = "poetry.core.masonry.api" |
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pip==24.2.0 | ||
setuptools==72.1.0 | ||
ua-parser==0.18.0 | ||
colorama==0.4.6 | ||
exceptiongroup==1.2.2 | ||
iniconfig==2.0.0 | ||
packaging==24.1 | ||
pluggy==1.5.0 | ||
pytest==8.3.2 | ||
pyyaml==6.0.2 | ||
tomli==2.0.1 | ||
pyyaml==6.0.2 ; python_version >= "3.10" and python_version < "4.0" \ | ||
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