Sentry Demo Setup Guide

Introduction

This guide will walk you through setting up your Python environment to run Aleno's Sentry Demo in Jupyter Notebook within Visual Studio Code (VSCode).

Prerequisites

Before you begin, ensure that you have the following installed:

• Python (3.x recommended)
• Visual Studio Code
• Python extension for VSCode (can be installed from the VSCode marketplace)

Installation

Step 1: Clone the Repository

Clone the project repository to your local machine. If the repository is located on GitHub, you can clone it using the following command:

git clone https://github.com/aleno-ai/demo-sentry
cd demo-sentry

Step 2: Create a Virtual Environment

Navigate to the project directory and create a Python virtual environment by running:

python -m venv venv

Step 3: Activate the Virtual Environment

Activate the virtual environment. On Windows, run:

venv\Scripts\activate

On macOS and Linux, run:

source venv/bin/activate

Step 4: Install Dependencies

With the virtual environment activated, install the required Python packages listed in requirements.txt:

pip install -r requirements.txt

Step 5: Install Jupyter

Install Jupyter within the virtual environment:

pip install notebook

Running a Jupyter Notebook

Step 1: Open VSCode

Open Visual Studio Code and ensure that the Python extension is installed and enabled.

Step 2: Open the Project Folder

From the File menu, choose Open Folder and select your project directory.

Step 3: Start Jupyter Server

Open the command palette in VSCode (using Ctrl+Shift+P or Cmd+Shift+P), and type Jupyter: Create New Blank Notebook, then hit Enter. This action will start a Jupyter server and open a new notebook.

Step 4: Select the Correct Python Interpreter

Ensure that the notebook is using the correct Python interpreter (the one from your virtual environment). You can select the interpreter from the top-right corner of the notebook interface in VSCode.