---
name: warehouse_env
version: "1.0.0"
description: "Grid-based warehouse logistics optimization environment for reinforcement learning"
author: "OpenEnv Contributors"
tags:
  - reinforcement-learning
  - logistics
  - pathfinding
  - grid-world
  - warehouse
  - robotics

environment:
  type: "discrete"
  action_space:
    type: "Discrete"
    n: 6
  observation_space:
    type: "Dict"
    spaces:
      grid: "Box"
      robot_position: "Tuple"
      packages: "List"

difficulty_levels:
  - level: 1
    name: "Simple"
    description: "5x5 grid, 1 package, no obstacles"
  - level: 2
    name: "Easy"
    description: "8x8 grid, 2 packages, 3 obstacles"
  - level: 3
    name: "Medium"
    description: "10x10 grid, 3 packages, 8 obstacles"
  - level: 4
    name: "Hard"
    description: "15x15 grid, 5 packages, 20 obstacles"
  - level: 5
    name: "Expert"
    description: "20x20 grid, 8 packages, 40 obstacles"

configuration:
  default_difficulty: 2
  environment_variables:
    - DIFFICULTY_LEVEL
    - GRID_WIDTH
    - GRID_HEIGHT
    - NUM_PACKAGES
    - MAX_STEPS
    - RANDOM_SEED

docker:
  image_name: "warehouse-env"
  default_port: 8000
  build_context: "../../../"
  dockerfile: "src/envs/warehouse_env/server/Dockerfile"