feat(component): enhance merge data with standard operations

[raphaelchristi]

Description

This PR refactors the Merge Data component, introducing improved functionality and clarity to the merging process.

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Changes

• Standardized Merge Operations:

  • concatenate: Combines text values with newlines.
  • append: Adds data as new rows.
  • merge: Combines values into lists.
  • join: Adds columns with suffixes.

• Output Improvements:

  • Change output type to DataFrame for enhanced data handling and manipulation.

• Documentation:

  • Add detailed documentation for each operation, improving clarity and usability.

• Error Handling:

  • Enhanced with detailed logging for better debugging and traceability.

• Refactored Merge Logic:

  • Separate merge logic into dedicated methods for cleaner, modular code.

• UI Enhancements:

  • Add informative tooltips to aid users in selecting the correct merge operation.

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Code Comparison

Before

def merge_data(self) -> list[Data]:
    # Single method handling all merging
    all_keys: set[str] = set()
    for data_input in data_inputs:
        all_keys.update(data_input.data.keys())

After

def merge_data(self) -> DataFrame:
    # Clear operation selection with enum
    operation = MergeOperation(self.operation)
    # Process using dedicated methods
    df = self._process_operation(operation)
    return DataFrame(df)

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Benefits

• Enhanced readability and maintainability.
• Improved user experience with clear guidance.
• Robust error handling ensures fewer runtime issues.
• Modular methods facilitate easier future extensions.

[ogabrielluiz]

Hey @raphaelchristi

How are you?

langflow.schema.DataFrame works exactly like a pd.DataFrame so you don't have to do anything differently while using it. It just has some helper features and methods.

[ogabrielluiz]

Please, use only english in the component.