docs: add poetry docs
Browse files- docs/POETRY_JUPYTER_SETUP.md +51 -0
- docs/POETRY_USAGE.md +158 -0
docs/POETRY_JUPYTER_SETUP.md
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# Connecting Poetry Environment with Jupyter Notebook
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This guide provides simple steps to connect a Poetry-managed environment to Jupyter Notebook.
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## Steps
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1. **Activate the Poetry Environment**
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First, navigate to your project directory and activate the Poetry shell:
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```bash
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poetry shell
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```
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2. **Install Jupyter as a Development Dependency**
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If Jupyter is not already installed, add it as a development dependency:
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```bash
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poetry add --group dev jupyter
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```
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3. **Register the Poetry Environment as a Jupyter Kernel**
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Run this command to make the Poetry environment available as a Jupyter kernel:
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```bash
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python -m ipykernel install --user --name=llmdataparser-env --display-name "Python (LLMDataParser)"
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```
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- `--name=llmdataparser-env`: Assigns a name to the kernel.
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- `--display-name "Python (LLMDataParser)"`: Sets the display name seen in Jupyter.
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4. **Start Jupyter Notebook**
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Launch Jupyter Notebook from the Poetry shell:
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```bash
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jupyter notebook
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```
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5. **Select the Poetry Kernel in Jupyter**
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- Open a notebook in Jupyter.
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- Go to "Kernel" > "Change kernel" and select **Python (LLMDataParser)** from the list.
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This connects the notebook to your Poetry environment.
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---
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You’re now set up to use your Poetry environment within Jupyter Notebook!
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docs/POETRY_USAGE.md
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# Poetry Usage Guide
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This guide provides instructions on how to use [Poetry](https://python-poetry.org/) to manage dependencies, install packages, and prepare your project for both development and production environments.
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## Table of Contents
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- [Overview](#overview)
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- [Installing Poetry](#installing-poetry)
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- [Using Poetry in Development](#using-poetry-in-development)
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- [Installing Dependencies](#installing-dependencies)
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- [Updating Dependencies](#updating-dependencies)
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- [Adding and Removing Dependencies](#adding-and-removing-dependencies)
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- [Synchronizing Dependencies](#synchronizing-dependencies)
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- [Using Poetry in Production](#using-poetry-in-production)
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- [Locking Dependencies](#locking-dependencies)
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- [Installing from `poetry.lock`](#installing-from-poetrylock)
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- [Poetry Commands Summary](#poetry-commands-summary)
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---
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## Overview
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Poetry is a dependency manager and build tool for Python projects. It simplifies managing dependencies, creating virtual environments, and ensuring version consistency between development and production environments. Poetry relies on two files:
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- **`pyproject.toml`**: Defines the dependencies and configuration.
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- **`poetry.lock`**: Locks dependencies to specific versions to ensure consistency.
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---
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## Installing Poetry(macOS only)
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To install Poetry, use the following command:
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```bash
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brew install poetry
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```
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Refer to the [Poetry documentation](https://python-poetry.org/docs/#installation) for more options and OS-specific installation instructions.
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---
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## Using Poetry in Development
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### Installing Dependencies
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In development, install dependencies specified in `pyproject.toml`:
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1. Navigate to the project directory:
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```bash
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cd path/to/project
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```
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2. Run:
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```bash
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poetry install
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```
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This command creates a virtual environment, installs all dependencies, and ensures they are compatible with the Python version specified.
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### Updating Dependencies
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During development, you can update dependencies by editing `pyproject.toml` directly and then running:
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```bash
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poetry install
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```
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This will apply any changes and update the environment without manually adding each dependency.
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### Adding and Removing Dependencies
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- **Add a New Dependency**:
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```bash
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poetry add <package-name>
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```
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Example:
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```bash
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poetry add requests
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```
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- **Add a Development Dependency** (only used for development/testing):
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```bash
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poetry add --group dev <package-name>
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```
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Example:
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```bash
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poetry add --group dev pytest
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```
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- **Remove a Dependency**:
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```bash
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poetry remove <package-name>
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```
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### Synchronizing Dependencies
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If the `pyproject.toml` or `poetry.lock` files are updated (e.g., after pulling changes), run:
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```bash
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poetry install
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```
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This keeps your environment synchronized with any updates made to the dependency files.
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---
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## Using Poetry in Production
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### Locking Dependencies
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To lock dependencies for production use, run:
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```bash
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poetry lock
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```
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This creates or updates `poetry.lock`, which pins each dependency to a specific version. This lock file should be used to maintain consistency in production.
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### Installing from `poetry.lock`
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In production, use `poetry.lock` to ensure exact dependency versions:
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1. Install only the required (non-development) dependencies:
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```bash
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poetry install --no-dev
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```
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This ensures that dependencies are installed exactly as defined in `poetry.lock`.
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---
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## Poetry Commands Summary
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| Command | Description |
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| ------------------------------ | ------------------------------------------------------------- |
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| `poetry install` | Installs dependencies from `pyproject.toml` or `poetry.lock`. |
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| `poetry add <package-name>` | Adds a new dependency and updates `pyproject.toml`. |
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| `poetry add --group dev <pkg>` | Adds a development-only dependency. |
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| `poetry remove <package-name>` | Removes a dependency and updates `pyproject.toml`. |
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| `poetry update` | Updates all dependencies to their latest compatible versions. |
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| `poetry lock` | Locks dependencies to specific versions for production. |
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| `poetry shell` | Activates the Poetry-managed virtual environment. |
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---
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## Additional Resources
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- **Poetry Documentation**: [https://python-poetry.org/docs/](https://python-poetry.org/docs/)
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- **GitHub Repository**: [https://github.com/python-poetry/poetry](https://github.com/python-poetry/poetry)
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For further help, please refer to the [Poetry documentation](https://python-poetry.org/docs/).
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