Refactor env launcher scripts

[yuecideng]

Description

This PR modularize the env launching function.

• Add a args augmentation function that adds default augments.
• Organize the config to cfg fucntion such that it can be reused in different places.

Type of change

• Enhancement (non-breaking change which improves an existing functionality)

Checklist

• I have run the black . command to format the code base.
• I have made corresponding changes to the documentation
• I have added tests that prove my fix is effective or that my feature works
• Dependencies have been updated, if applicable.

[Copilot]

Pull request overview

This PR refactors environment launcher scripts by centralizing common CLI argument wiring and environment-config construction into shared helpers, and folds the previous standalone preview script functionality into run_env.py.

Changes:

• Introduces add_env_launcher_args_to_parser() and build_env_cfg_from_args() in gym_utils.py to share launcher argument/config logic.
• Updates run_env.py and run_agent.py to use the shared helpers and adds an interactive preview path in run_env.py.
• Updates a sample gym config to include a camera recording event; removes the old preview_env.py script.

Reviewed changes

Copilot reviewed 5 out of 5 changed files in this pull request and generated 13 comments.

Show a summary per file

File	Description
embodichain/lab/scripts/run_env.py	Switches to shared launcher helpers and adds interactive preview mode.
embodichain/lab/scripts/run_agent.py	Switches to shared launcher helpers for env cfg creation.
embodichain/lab/scripts/preview_env.py	Removed (preview functionality moved into run_env.py).
embodichain/lab/gym/utils/gym_utils.py	Adds shared argparse/env-cfg builder helpers for launchers.
configs/gym/pour_water/gym_config_simple.json	Adds a record_camera interval event to record camera data.

Comments suppressed due to low confidence (1)

embodichain/lab/scripts/run_agent.py:74

• build_env_cfg_from_args() returns action_config, and the shared launcher args now include --action_config, but gymnasium.make(...) here doesn’t pass it through. If tasks rely on kwargs.get("action_config") (e.g., action bank configs), --action_config will have no effect in run_agent.py. Pass it along (e.g., via **action_config or action_config=... depending on the expected API).

    # Load configurations
    env_cfg, gym_config, action_config = build_env_cfg_from_args(args)
    agent_config = load_json(args.agent_config)

    # Create environment
    env = gymnasium.make(
        id=gym_config["id"],
        cfg=env_cfg,
        agent_config=agent_config,
        agent_config_path=args.agent_config,
        task_name=args.task_name,
    )

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