kaggle

https://www.kaggle.com/datasets/adilshamim8/global-traffic-accidents-dataset

Setup

Create the virtual environment

Using venv (recommended for Python 3):(replace .venv with your preferred name)

python3 -m venv .venv

Activate the virtual environment (Windows).venv\Scripts\activate

Activate the virtual environment (macOS/Linux)

source .venv/bin/activate

Install the required packages

pip install -r requirements.txt

Create env

Install python-dotenv

pip install python-dotenv

Create a .env file

KAGGLE_DATASET_SLUG=your_actual_dataset_slug

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Mysql setup

Install MySQL Server

Follow the instructions to install MySQL Server on your machine:

• MySQL Installation Guide

Create a MySQL Database

1. Open MySQL command line or MySQL Workbench.

2. Create a new database:

   CREATE DATABASE your_database_name;
   

Configure Environment Variables

Create a .env file in the root directory of your project and add the following environment variables:

MYSQL_HOST=
MYSQL_USER=
MYSQL_PASSWORD=
MYSQL_DATABASE=

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Kaggle API Credentials

1. Go to your Kaggle account settings: https://www.kaggle.com/account

2. Scroll down to the "API" section and click "Create New API Token". This will download a file named kaggle.json.

3. Move the kaggle.json file to the .kaggle directory in your user home directory:

   • On Windows:

     mkdir %USERPROFILE%\.kaggle
     
     move C:\Path\To\Your\kaggle.json %USERPROFILE%\.kaggle\kaggle.json
     

   • On macOS/Linux:

     mkdir -p ~/.kaggle
     
     mv /path/to/your/kaggle.json ~/.kaggle/kaggle.json
     

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tailwind

tailwindcss -i decoding_the_roads/styles/main.css -o decoding_the_roads/static/css/main.css --watch

Usage

Ensure your virtual environment is activated.

fastapi dev main.py

uvicorn decoding_the_roads.main:app --reload 

http://127.0.0.1:8000/docs

http://127.0.0.1:8000/redoc

http://127.0.0.1:8000/openapi.json

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