feat: automatically load example data in pyOpenMS workflow

[achalbajpai]

This PR resolves issue #184 by ensuring that the pyOpenMS workflow behaves consistently with the TOPP workflow. If no files are present in the workspace's mzML directory, the system will automatically load example data.

Changes Made:

• Updated content/file_upload.py to check for files in the workspace's mzML directory.
• If no files are found, fileupload.load_example_mzML_files() is invoked to load example data automatically.
• Ensures consistent behavior between TOPP and pyOpenMS workflows.

Summary by CodeRabbit

• New Features

  • Automatically loads example mzML data when no user files are found, ensuring you always have data available.

• Style

  • Enhanced the visual layout and clarity of file browsing elements, including directory selections, path inputs, and warning messages for an improved user experience.

[coderabbitai]

Walkthrough

The changes introduce a check for the presence of mzML files in the workspace directory. If no files are found, the function fileupload.load_example_mzML_files() is invoked to load example data. The tabs array is modified to include only "File Upload" after this check, removing the "Example Data" tab. Additionally, the code structure has been reformatted for improved readability, particularly in UI elements and DataFrame handling. There are no alterations to the declarations of exported or public entities.

Changes

File Path	Change Summary
content/file_upload.py	Added a check for workspace mzML files; if no file exists, calls load_example_mzML_files(). Improved formatting for UI button creation, path input, warning messages, and DataFrame handling.

Sequence Diagram(s)

sequenceDiagram
    participant U as User
    participant F as FileUpload Module
    participant D as Workspace Directory

    U->>F: Initiate file upload process
    F->>D: Check for mzML files existence
    alt Files Present
        D-->>F: Return list of mzML files
        F->>U: Display mzML files in workspace
    else No Files Present
        D-->>F: Empty list/none
        F->>F: Call load_example_mzML_files()
        F->>U: Load and display example mzML files
    end

Loading

Poem

Oh, I’m a rabbit, hopping with glee,
In code meadows where changes run free.
When files are missing, I bring a treat,
Example data now makes the workspace complete.
Formatting improved, each line’s a delight,
A joyful update, shining so bright!
🐰🌟

Tip

⚡🧪 Multi-step agentic review comment chat (experimental)

• We're introducing multi-step agentic chat in review comments. This experimental feature enhances review discussions with the CodeRabbit agentic chat by enabling advanced interactions, including the ability to create pull requests directly from comments.
  - To enable this feature, set early_access to true under in the settings.

---

📜 Recent review details

Configuration used: CodeRabbit UI
Review profile: CHILL
Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between 3e0c71f and 78c4178.

📒 Files selected for processing (1)

• content/file_upload.py (2 hunks)

🚧 Files skipped from review as they are similar to previous changes (1)

• content/file_upload.py

⏰ Context from checks skipped due to timeout of 90000ms (4)

• GitHub Check: build-openms
• GitHub Check: build
• GitHub Check: build-full-app
• GitHub Check: build-simple-app

---

🪧 Tips

Chat

There are 3 ways to chat with CodeRabbit:

• Review comments: Directly reply to a review comment made by CodeRabbit. Example:
  • I pushed a fix in commit <commit_id>, please review it.
  • Generate unit testing code for this file.
  • Open a follow-up GitHub issue for this discussion.
• Files and specific lines of code (under the "Files changed" tab): Tag @coderabbitai in a new review comment at the desired location with your query. Examples:
  • @coderabbitai generate unit testing code for this file.
  • @coderabbitai modularize this function.
• PR comments: Tag @coderabbitai in a new PR comment to ask questions about the PR branch. For the best results, please provide a very specific query, as very limited context is provided in this mode. Examples:
  • @coderabbitai gather interesting stats about this repository and render them as a table. Additionally, render a pie chart showing the language distribution in the codebase.
  • @coderabbitai read src/utils.ts and generate unit testing code.
  • @coderabbitai read the files in the src/scheduler package and generate a class diagram using mermaid and a README in the markdown format.
  • @coderabbitai help me debug CodeRabbit configuration file.

Note: Be mindful of the bot's finite context window. It's strongly recommended to break down tasks such as reading entire modules into smaller chunks. For a focused discussion, use review comments to chat about specific files and their changes, instead of using the PR comments.

CodeRabbit Commands (Invoked using PR comments)

• @coderabbitai pause to pause the reviews on a PR.
• @coderabbitai resume to resume the paused reviews.
• @coderabbitai review to trigger an incremental review. This is useful when automatic reviews are disabled for the repository.
• @coderabbitai full review to do a full review from scratch and review all the files again.
• @coderabbitai summary to regenerate the summary of the PR.
• @coderabbitai generate docstrings to generate docstrings for this PR.
• @coderabbitai resolve resolve all the CodeRabbit review comments.
• @coderabbitai configuration to show the current CodeRabbit configuration for the repository.
• @coderabbitai help to get help.

Other keywords and placeholders

• Add @coderabbitai ignore anywhere in the PR description to prevent this PR from being reviewed.
• Add @coderabbitai summary to generate the high-level summary at a specific location in the PR description.
• Add @coderabbitai anywhere in the PR title to generate the title automatically.

CodeRabbit Configuration File (.coderabbit.yaml)

• You can programmatically configure CodeRabbit by adding a .coderabbit.yaml file to the root of your repository.
• Please see the configuration documentation for more information.
• If your editor has YAML language server enabled, you can add the path at the top of this file to enable auto-completion and validation: # yaml-language-server: $schema=https://coderabbit.ai/integrations/schema.v2.json

Documentation and Community

• Visit our Documentation for detailed information on how to use CodeRabbit.
• Join our Discord Community to get help, request features, and share feedback.
• Follow us on X/Twitter for updates and announcements.

[t0mdavid-m]

Thank you for your contribution! LGTM! Could you remove the "Example Data" tab? Then the PR should be ready to merge.

[achalbajpai]

Hello @t0mdavid-m ,
I’ve removed the Example Data tab . The PR is now ready to be merged . Please check it at your convenience.

Thank you!