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Dynamic UI #41

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Dynamic UI #41

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Neilmagi
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@Neilmagi Neilmagi commented Oct 10, 2024

Summary by Sourcery

Implement a dynamic UI system that adjusts the available navigation tabs based on the selected ecoregion, using a configuration file to manage tab visibility and content. Refactor server and UI modules to support this dynamic behavior, enhancing the application's adaptability to different datasets.

New Features:

  • Introduce dynamic UI elements that adjust based on the selected ecoregion, allowing for a more tailored user experience.
  • Add a configuration file (tab-config.yml) to define the available tabs and sub-tabs for different ecoregions, enabling dynamic tab management.

Enhancements:

  • Refactor the navigation and server modules to accept additional parameters for dynamic tab management and selected ecoregion handling.
  • Update the UI to include dynamic tab insertion based on the configuration, improving the flexibility of the application.

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Hey @Neilmagi - I've reviewed your changes - here's some feedback:

Overall Comments:

  • Consider implementing a more programmatic approach for module initialization in app_server to reduce code duplication.
  • Add robust error handling and fallback mechanisms for the dynamic UI generation process, especially when dealing with potentially missing configuration data.
Here's what I looked at during the review
  • 🟡 General issues: 2 issues found
  • 🟢 Security: all looks good
  • 🟢 Testing: all looks good
  • 🟢 Complexity: all looks good
  • 🟢 Documentation: all looks good

Sourcery is free for open source - if you like our reviews please consider sharing them ✨
Help me be more useful! Please click 👍 or 👎 on each comment and I'll use the feedback to improve your reviews.

})

# Fetch the configuration for the selected ecoregion
ecoregion_config <- config$ecoregions[[selected_ecoregion()]]$tabs
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issue: Potential for runtime errors if configuration structure is incorrect.

The dynamic tab generation relies heavily on the structure of the configuration file. Consider implementing error checking to gracefully handle cases where the configuration doesn't match the expected structure, to prevent runtime errors.

@@ -0,0 +1,28 @@
ecoregions:
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suggestion (bug_risk): Consider implementing schema validation for the configuration file.

The new configuration file is a critical component of the application. To ensure its integrity and prevent potential issues, consider implementing a schema validation system. This would catch configuration errors early and improve the overall robustness of the application.

ecoregions: !include_schema ecoregions_schema.yml

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How might this work?

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To implement schema validation for your configuration file, you can use a library like PyYAML in combination with a schema validation tool such as Cerberus or jsonschema. Here's a general approach on how you might set this up:

  1. Define the Schema: Create a separate YAML or JSON file that defines the expected structure of your configuration file. This schema will specify the required fields, their types, and any constraints.

    For example, you might have a ecoregions_schema.yml that looks like this:

    type: map
    mapping:
      ecoregions:
        type: seq
        sequence:
          - type: map
            mapping:
              name:
                type: str
              tabs:
                type: seq
                sequence:
                  - type: str
  2. Load and Validate the Configuration: In your application, load the configuration file and validate it against the schema using a validation library.

    Here's a basic example using PyYAML and Cerberus:

    import yaml
    from cerberus import Validator
    
    # Load the schema
    with open('ecoregions_schema.yml', 'r') as schema_file:
        schema = yaml.safe_load(schema_file)
    
    # Load the configuration
    with open('tab-config.yml', 'r') as config_file:
        config = yaml.safe_load(config_file)
    
    # Validate the configuration
    v = Validator(schema)
    if not v.validate(config):
        print("Configuration is invalid:", v.errors)
    else:
        print("Configuration is valid")
  3. Handle Validation Errors: If the configuration doesn't match the schema, handle the errors appropriately, such as logging them or providing feedback to the user.

By implementing schema validation, you can ensure that your configuration file is correctly structured and reduce the risk of runtime errors due to misconfigurations. Let me know if you need further clarification or assistance!

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