Packaging for LogIntegration (#10122)

Author: clairernovotny

python/StatsLogParser/.vscode/extensions.json

@@ -0,0 +1,24 @@
+{
+	// See https://go.microsoft.com/fwlink/?LinkId=827846 to learn about workspace recommendations.
+	// Extension identifier format: ${publisher}.${name}. Example: vscode.csharp
+
+	// 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": [
+
+	]
+}

python/StatsLogParser/MANIFEST.in

@@ -0,0 +1,22 @@
+A package for identifying nuget clients from user agents
+
+
+### 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).
+
+On Windows, [Scoop](https://scoop.sh/) is the easiest way to install Python.
+
+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.
+
+
+### 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.
+
+### 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.
+
+### 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.
+
+### Building the wheel
+Run poetry build from the CLI and it'll build the wheel package in `dist`.

python/StatsLogParser/README.md

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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"
+
+[tool.poetry.dependencies]
+python = "^3.10"
+pyyaml = "^6.0.2"
+ua-parser = "^0.18.0"
+
+[tool.poetry.group.test.dependencies]
+pytest = "^8.3.2"
+
+[build-system]
+requires = ["poetry-core"]
+build-backend = "poetry.core.masonry.api"

python/StatsLogParser/poetry.lock

@@ -1,11 +1,57 @@
-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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+ua-parser==0.18.0 ; python_version >= "3.10" and python_version < "4.0" \
+    --hash=sha256:9d94ac3a80bcb0166823956a779186c746b50ea4c9fd9bf30fdb758553c38950 \
+    --hash=sha256:db51f1b59bfaa82ed9e2a1d99a54d3e4153dddf99ac1435d51828165422e624e