feat: make DataSet initialization similar to pandas'

[ogabrielluiz]

This pull request introduces significant enhancements to the DataSet class in the langflow schema, including new methods for initialization and row addition, as well as comprehensive testing for these features. Below are the most important changes:

Enhancements to DataSet class:

• Initialization Enhancements:

  • Added support for various data formats during initialization, including lists of Data objects, dictionaries, dictionary of lists, and pandas DataFrames.
  • Introduced the __init__ method to handle these different formats and ensure proper data conversion.

• Row Addition Methods:

  • Added add_row method to allow adding a single row to the dataset, supporting both Data objects and dictionaries.
  • Added add_rows method to allow adding multiple rows to the dataset, supporting lists of Data objects or dictionaries.

Testing Enhancements:

• New Test Cases:
  • Added multiple test cases to verify the functionality of the new initialization methods with different data formats.
  • Added test cases for the add_row and add_rows methods to ensure correct behavior when adding rows with both dictionaries and Data objects.

Import and Export Enhancements:

• Module Import Adjustments:

  • Updated __init__.py to include DataSet in the module exports, ensuring it is accessible when the module is imported.

• Type Casting:

  • Added import for cast from typing to facilitate type casting within the DataSet class methods.

[codspeed-hq]

CodSpeed Performance Report

Merging #4864 will degrade performances by 28.65%

_{Comparing improve-ds-dx (15fc22e) with main (159f6e5)}

Summary

❌ 3 regressions
✅ 12 untouched benchmarks

⚠️ Please fix the performance issues or acknowledge them on CodSpeed.

Benchmarks breakdown

	Benchmark	main	improve-ds-dx	Change
❌	test_successful_run_with_input_type_any	234.8 ms	324.6 ms	-27.67%
❌	test_successful_run_with_input_type_text	231 ms	323.8 ms	-28.65%
❌	test_successful_run_with_output_type_debug	222.6 ms	253.1 ms	-12.03%