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JumpPediaAPI Documentation

This is a Flask-based API for managing and retrieving jump level data. It provides endpoints to retrieve all jump levels and filter levels based on specific criteria.

Installation

To install and run the API, follow these steps:

  • Clone the repository or download and unzip the repo and open it in a shell/cmd:
git clone <repository_url>
  • Navigate to the project directory:
cd <project_directory>
  • Create a virtual environment (optional but recommended):
python3 -m venv venv
  • Activate the virtual environment:

    On Windows:

    venv\Scripts\activate
    

    For macOS/Linux:

    source venv/bin/activate
  • Install the required dependencies:

pip install -r requirements.txt
  • Start the api
python JumpPediaAPI.py

The API will start running on http://localhost:5000.

API Endpoints

Retrieve All Jump Levels

  • URL: /api/jumps
  • Method: GET
  • Description: Retrieves all jump levels.
  • Response: Returns a JSON array containing information about each jump level.

Filter Jump Levels

  • URL: /api/jumps
  • Method: POST
  • Description: Filters jump levels based on specific criteria.
  • Request Body: The request body should be a JSON object containing the filter criteria. The keys should correspond to the field names of the Level model.
  • Response: Returns a JSON array containing the filtered jump levels.

Updating the Dataset

The API provides functionality to update the dataset from a remote source (JumpPedia-URL). To update the dataset, you can run the following command:

python JumpPediaAPI.py updatedataset

This command will fetch the data from the remote source, parse it, and store it in the jump_data.db SQLite database.

Repopulating the Database

If you want to repopulate the database with the existing dataset, you can run the following command:

python JumpPediaAPI.py repopulate

This command will drop the existing tables, create new ones, and populate them with data from the jump_data.json file.

Note: Make sure you have the jump_data.json file in the project directory before running this command.

You can also chain the commands:

python JumpPediaAPI.py updatedataset repopulate

Example script

Headover to the examples directory and look at the script to get a understanding of how the apis work ExamplesURL

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