Dev test

[Xuwznln]

Summary by Sourcery

Standardize CI workflows to run all conda and pip operations within the unilab environment, remove auto-activating base, and enhance the verify_installation.py script with a new --auto-install mode and improved argument parsing.

Enhancements:

• Add --auto-install option to the installation verification script and propagate the flag to environment checks
• Standardize conda commands in CI workflows to explicitly target the unilab environment with -n unilab and use conda run for pip/python invocations

CI:

• Remove auto-activate-base and update the GitHub Actions conda-pack-build workflow to specify the unilab environment for install, list, update, and verification steps

Chores:

• Clean up and reorder imports in unilabos/app/main.py
• Improve type annotations in verify_installation.py

[sourcery-ai]

Reviewer's Guide

This PR revises the GitHub Actions conda-pack workflow to explicitly target the “unilab” environment by adding environment flags to all install, update, and listing commands; enhances the local verification script with an argparse-driven --auto-install mode, improved type hints, and user guidance; and refactors import ordering in the main app entry point for clarity.

Sequence diagram for enhanced verification with --auto-install option

sequenceDiagram
    participant User as actor User
    participant Script as verify_installation.py
    participant Argparse as argparse
    participant EnvCheck as check_environment
    User->>Script: Run script with [--auto-install]
    Script->>Argparse: Parse arguments
    Argparse-->>Script: args.auto_install
    Script->>Script: Print mode (auto-install or verify only)
    Script->>EnvCheck: check_environment(auto_install=args.auto_install)
    EnvCheck-->>Script: Result (pass/fail)
    Script->>User: Print verification result
    Note over Script,User: If missing packages and not auto-install, print hint to use --auto-install

Loading

Class diagram for updated verify_installation.py script

classDiagram
    class verify_installation {
        +main()
    }
    class argparse {
        +ArgumentParser
        +add_argument()
        +parse_args()
    }
    class check_environment {
        +check_environment(auto_install: bool, show_details: bool)
    }
    verify_installation --> argparse : uses
    verify_installation --> check_environment : calls

Loading

File-Level Changes

Change	Details	Files
Explicitly target the “unilab” conda environment in the CI workflow	Removed auto-activate-base flag Added “-n unilab” to mamba install and update commands Prefixed conda list/search and pip steps with environment flags or conda run	.github/workflows/conda-pack-build.yml
Enhance verification script with auto-install option and type annotations	Introduced argparse with --auto-install flag Propagated args.auto_install to environment checks and added user hint Updated type hint for union types and added # type: ignore comments Documented new option in script usage	scripts/verify_installation.py
Refactor imports in application entrypoint for modularization	Removed unused top-level imports Moved graphio and resource_tracker imports inside main() Reordered config imports after path setup	unilabos/app/main.py

---

Tips and commands

Interacting with Sourcery

• Trigger a new review: Comment @sourcery-ai review on the pull request.
• Continue discussions: Reply directly to Sourcery's review comments.
• Generate a GitHub issue from a review comment: Ask Sourcery to create an
  issue from a review comment by replying to it. You can also reply to a
  review comment with @sourcery-ai issue to create an issue from it.
• Generate a pull request title: Write @sourcery-ai anywhere in the pull
  request title to generate a title at any time. You can also comment
  @sourcery-ai title on the pull request to (re-)generate the title at any time.
• Generate a pull request summary: Write @sourcery-ai summary anywhere in
  the pull request body to generate a PR summary at any time exactly where you
  want it. You can also comment @sourcery-ai summary on the pull request to
  (re-)generate the summary at any time.
• Generate reviewer's guide: Comment @sourcery-ai guide on the pull
  request to (re-)generate the reviewer's guide at any time.
• Resolve all Sourcery comments: Comment @sourcery-ai resolve on the
  pull request to resolve all Sourcery comments. Useful if you've already
  addressed all the comments and don't want to see them anymore.
• Dismiss all Sourcery reviews: Comment @sourcery-ai dismiss on the pull
  request to dismiss all existing Sourcery reviews. Especially useful if you
  want to start fresh with a new review - don't forget to comment
  @sourcery-ai review to trigger a new review!

Customizing Your Experience

Access your dashboard to:

• Enable or disable review features such as the Sourcery-generated pull request
  summary, the reviewer's guide, and others.
• Change the review language.
• Add, remove or edit custom review instructions.
• Adjust other review settings.

Getting Help

• Contact our support team for questions or feedback.
• Visit our documentation for detailed guides and information.
• Keep in touch with the Sourcery team by following us on X/Twitter, LinkedIn or GitHub.

[sourcery-ai]

Hey there - I've reviewed your changes and they look great!

Prompt for AI Agents

Please address the comments from this code review:

## Individual Comments

### Comment 1
<location> `scripts/verify_installation.py:136-140` </location>
<code_context>
def main():
    """Run all verification checks."""
    # Parse command line arguments
    parser = argparse.ArgumentParser(
        description="Verify UniLabOS installation",
        formatter_class=argparse.RawDescriptionHelpFormatter,
    )
    parser.add_argument(
        "--auto-install",
        action="store_true",
        help="Automatically install missing packages",
    )
    args = parser.parse_args()

    print("=" * 60)
    print("UniLabOS Installation Verification")
    print("=" * 60)
    if args.auto_install:
        print("Mode: Auto-install missing packages")
    else:
        print("Mode: Verification only")
    print()

    all_passed = True

    # Check Python version
    print("Checking Python version...")
    if not check_python_version():
        all_passed = False
    print()

    # Check ROS2 rclpy
    print("Checking ROS2 rclpy...")
    if not check_package("rclpy", "ROS2 rclpy"):
        all_passed = False
    print()

    # Run environment checker from unilabos
    print("Checking UniLabOS and dependencies...")
    try:
        from unilabos.utils.environment_check import check_environment

        print(f"  {CHECK_MARK} UniLabOS installed")

        # Check environment with optional auto-install
        # Set show_details=False to suppress detailed Chinese output that may cause encoding issues
        env_check_passed = check_environment(auto_install=args.auto_install, show_details=False)

        if env_check_passed:
            print(f"  {CHECK_MARK} All required packages available")
        else:
            print(f"  {CROSS_MARK} Some optional packages are missing")
            if not args.auto_install:
                print("  Hint: Run with --auto-install to automatically install missing packages")
    except ImportError:
        print(f"  {CROSS_MARK} UniLabOS not installed")
        all_passed = False
    except Exception as e:
        print(f"  {CROSS_MARK} Environment check failed: {str(e)}")
    print()

    # Summary
    print("=" * 60)
    print("Verification Summary")
    print("=" * 60)

    if all_passed:
        print(f"\n{CHECK_MARK} All checks passed! Your UniLabOS installation is ready.")
        print("\nNext steps:")
        print("  1. Review the documentation: docs/user_guide/launch.md")
        print("  2. Try the examples: docs/boot_examples/")
        print("  3. Configure your devices: unilabos_data/startup_config.json")
        return 0
    else:
        print(f"\n{CROSS_MARK} Some checks failed. Please review the errors above.")
        print("\nTroubleshooting:")
        print("  1. Ensure you're in the correct conda environment: conda activate unilab")
        print("  2. Check the installation documentation: docs/user_guide/installation.md")
        print("  3. Try reinstalling: pip install .")
        return 1

</code_context>

<issue_to_address>
**suggestion (code-quality):** Use named expression to simplify assignment and conditional ([`use-named-expression`](https://docs.sourcery.ai/Reference/Default-Rules/refactorings/use-named-expression/))

```suggestion
        if env_check_passed := check_environment(
            auto_install=args.auto_install, show_details=False
        ):
```
</issue_to_address>

---

Sourcery is free for open source - if you like our reviews please consider sharing them ✨

• X
• Mastodon
• LinkedIn
• Facebook

_{Help me be more useful! Please click 👍 or 👎 on each comment and I'll use the feedback to improve your reviews.}