test/live-tests#5
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… `PlotExplainer` and explainer `API` coverage
…icPlotGenerator`, `SmartPlotGenerator`, and `plotgen` integration tests
…`VisualizationRecommender` initialization, parsing, and `LLM` integration
…est_suggestions` into `test/unit` for clearer test structure organization
…ner` run with `Groq` and `OpenAI` models
…nd custom plot generation examples
…g with multiple `LLM` providers
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This pull request adds new live tests for the
plotsensepackage and refactors the plot generator unit and integration test suite for clarity and consistency. The most important changes are grouped below:New Live Tests
live_test_explanations.pyto test theexplainerfunction for generating explanations of matplotlib plots using selected LLM models and API keys.live_test_plotgen.pyto test theplotgenfunction with various plot types and custom plot functions using sample DataFrames.live_test_suggestions.pyto test therecommenderfunction for recommending visualizations from a DataFrame using multiple LLM providers.Test Suite Refactoring
test/test_plotgen.pytotest/unit/test_plotgen.pyand updated imports to useBasicPlotGeneratorandSmartPlotGeneratorinstead of the previousPlotGenerator.BasicPlotGeneratorfor unit, integration, end-to-end, error handling, performance, and edge case tests, improving clarity and aligning with new class naming. [1] [2] [3] [4] [5] [6] [7]SmartPlotGeneratorplot functions againstBasicPlotGeneratorinstead of the oldPlotGeneratorfor consistency.