Project pikachu - First Draft

[cpich3g]

This pull request introduces a new integration for Pokémon battles using the poke-env library, providing both client and server implementations for an HTTP-based reinforcement learning environment. It includes a Dockerized server setup, data models, and documentation for usage and deployment. The changes are grouped below by theme:

Environment Implementation

• Added PokemonEnv HTTP client in client.py, enabling interaction with a Pokémon battle server via standardized methods (reset, step, etc.), and providing payload parsing and state management for reinforcement learning agents.
• Defined clear data models for actions, observations, and state in models.py, supporting both move and switch actions, detailed Pokémon stats, and comprehensive battle state representation.

Server & Deployment

• Added a FastAPI-based server in server/app.py to expose the Pokémon battle environment over HTTP, with configuration via environment variables for battle format, player username, and server URL.
• Introduced a multi-service Dockerfile for running both the Pokémon Showdown server and the OpenEnv HTTP server in a single container, including supervisor configuration and health checks.
• Provided utility scripts for building the Docker image (build_docker.sh) and manual entrypoint startup (entrypoint.sh) for flexible deployment and debugging. [1] [2]

Documentation

• Added a comprehensive Markdown file (Poke-Env.MD) explaining the environment, installation, usage, and example teams for battles, making it easier for new users to get started.
• Added module-level docstrings and a minimal server-side __init__.py for clarity and discoverability. [1] [2]

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