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Cave utilities for the CAVE App at the MIT

Project description

Cave Utilities for the Cave App

Basic utilities for the MIT Cave App. This package is intended to be used by the Cave App and the Cave API.

Setup

Make sure you have Python 3.7.x (or higher) installed on your system. You can download it here.

Installation

pip install cave_utils

Getting Started

Example:

  1. In your cave_app, update the following file:

    cave_api/tests/test_init.py

    from cave_api import execute_command
    from cave_utils.socket import Socket
    from cave_utils.validator import Validator
    
    
    init_session_data = execute_command(session_data={}, socket=Socket(), command="init")
    
    x = Validator(init_session_data)
    
    x.print_errors()
    # x.print_warnings()
    # x.write_warnings('./warnings.txt')
    # x.write_errors('./errors.txt')
    
  2. Run the following command: cave test test_init.py

Live Utils Development

  1. In your cave_app, update the following file:

    utils/run_server.sh

    #!/bin/bash
    
    SCRIPT_DIR=$( cd -- "$( dirname -- "${BASH_SOURCE[0]}" )" &> /dev/null && pwd )
    APP_DIR=$(dirname "$SCRIPT_DIR")
    
    pip install -e /cave_utils
    
    source ./utils/helpers/shell_functions.sh
    source ./utils/helpers/ensure_postgres_running.sh
    source ./utils/helpers/ensure_db_setup.sh
    
    python "$APP_DIR/manage.py" runserver 0.0.0.0:8000 2>&1 | pipe_log "INFO"
    
  2. In your cave_app, set LIVE_API_VALIDATION=True in the .env file

    • This will validate your data every time an api command is called for each session
    • Outputs will be stored in logs/validation/{session_name}.log
  3. Use the following command to run your cave_app: cave run --docker-args "--volume {local_path_to_cave_utils}/cave_utils:/cave_utils"

    As you edit cave_utils, the logs will be updated live

Project details


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cave_utils-1.6.0.tar.gz (17.6 kB view hashes)

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