# dataset_editor_interface.py """ Dataset Editor Interface for Enhanced Datasets. Provides a standalone interface for editing test datasets with full CRUD operations. """ import gradio as gr from typing import List, Dict, Tuple, Optional, Any from datetime import datetime import uuid from src.core.verification_models import TestMessage, TestDataset from src.interface.enhanced_dataset_interface import EnhancedDatasetInterfaceController def create_dataset_editor_interface() -> gr.Blocks: """ Create the dataset editor interface. Returns: Gradio Blocks component for dataset editing """ with gr.Blocks(title="Edit Enhanced Datasets") as interface: # Initialize controller dataset_controller = EnhancedDatasetInterfaceController() # Pre-load dataset choices for initialization try: initial_choices, _, _, _ = dataset_controller.initialize_interface() except Exception: initial_choices = [] # Application state current_dataset_state = gr.State(value=None) editing_dataset_state = gr.State(value=None) # Header gr.Markdown("# ✏️ Edit Enhanced Datasets") gr.Markdown("Manage and customize test datasets for verification. Add, modify, or delete test cases to create datasets tailored to your testing needs.") # Dataset selection interface with gr.Row(): with gr.Column(scale=2): gr.Markdown("## 📋 Select Dataset") dataset_selector = gr.Dropdown( choices=initial_choices, value=initial_choices[0] if initial_choices else None, label="Available Datasets", info="Choose a dataset to edit", interactive=True ) with gr.Row(): edit_dataset_btn = gr.Button("✏️ Edit Dataset", variant="primary", scale=2) create_dataset_btn = gr.Button("➕ Create New Dataset", variant="secondary", scale=1) with gr.Column(scale=1): gr.Markdown("## 📊 Dataset Information") dataset_info_display = gr.Markdown( "Select a dataset to view details", label="Dataset Details" ) # Create new dataset section (initially hidden) create_section = gr.Row(visible=False) with create_section: with gr.Column(): gr.Markdown("## ➕ Create New Dataset") with gr.Row(): with gr.Column(scale=2): new_dataset_name = gr.Textbox( label="Dataset Name", placeholder="Enter dataset name...", interactive=True ) with gr.Column(scale=2): new_dataset_description = gr.Textbox( label="Description", placeholder="Describe the dataset purpose...", interactive=True ) with gr.Column(scale=1): template_selector = gr.Dropdown( choices=["", "empty", "mixed_sample"], label="Template", value="", info="Optional template" ) with gr.Row(): create_confirm_btn = gr.Button("✅ Create Dataset", variant="primary") create_cancel_btn = gr.Button("❌ Cancel", variant="secondary") # Edit Dataset interface (initially hidden) edit_section = gr.Row(visible=False) with edit_section: with gr.Column(): gr.Markdown("## ✏️ Edit Dataset") # Dataset actions with gr.Row(): save_dataset_btn = gr.Button("💾 Save Changes", variant="primary") close_edit_btn = gr.Button("✖️ Close Editor", variant="secondary") # Test cases display test_cases_display = gr.HTML( value="
Loading test cases...
", label="Test Cases" ) gr.Markdown("### ➕ Add New Test Case") with gr.Row(): with gr.Column(scale=3): new_message_text = gr.Textbox( label="Message Text", placeholder="Enter the test message...", lines=3, interactive=True ) with gr.Column(scale=1): new_message_classification = gr.Radio( choices=["green", "yellow", "red"], label="Expected Classification", value="yellow" ) with gr.Row(): add_test_case_btn = gr.Button("➕ Add Test Case", variant="primary") clear_form_btn = gr.Button("🗑️ Clear Form", variant="secondary") # Status message status_message = gr.Markdown("", visible=True) # Event handlers def on_dataset_selection_change(dataset_selection): """Handle dataset selection change.""" try: dataset_info, dataset_obj = dataset_controller.get_dataset_info(dataset_selection) return ( dataset_info, # dataset_info_display dataset_obj # current_dataset_state ) except Exception as e: return ( f"❌ Error loading dataset info: {str(e)}", # dataset_info_display None # current_dataset_state ) def on_edit_dataset(current_dataset): """Handle edit dataset button.""" try: if not current_dataset: return ( gr.Row(visible=False), # edit_section "", # test_cases_display current_dataset, # editing_dataset_state "❌ No dataset selected for editing" # status_message ) # Render test cases HTML test_cases_html = dataset_controller.render_test_cases_display(current_dataset) return ( gr.Row(visible=True), # edit_section test_cases_html, # test_cases_display current_dataset, # editing_dataset_state f"✏️ Editing dataset: '{current_dataset.name}'" # status_message ) except Exception as e: return ( gr.Row(visible=False), # edit_section "", # test_cases_display None, # editing_dataset_state f"❌ Error accessing dataset for editing: {str(e)}" # status_message ) def on_close_edit(): """Close the edit section.""" return ( gr.Row(visible=False), # edit_section "", # new_message_text (clear) "yellow", # new_message_classification (reset) "✅ Editor closed" # status_message ) def on_show_create(): """Show create dataset section.""" return ( gr.Row(visible=True), # create_section "➕ Create a new dataset" # status_message ) def on_cancel_create(): """Cancel create dataset.""" return ( gr.Row(visible=False), # create_section "", # new_dataset_name (clear) "", # new_dataset_description (clear) "", # template_selector (reset) "❌ Dataset creation cancelled" # status_message ) def on_create_dataset(name, description, template): """Create a new dataset.""" try: success, message, new_dataset = dataset_controller.create_new_dataset( name, description, template if template else None ) if success: # Refresh dataset choices updated_choices, _, _, _ = dataset_controller.initialize_interface() return ( gr.Row(visible=False), # create_section gr.update(choices=updated_choices, value=f"{new_dataset.name} ({new_dataset.message_count} messages)"), # dataset_selector "", # new_dataset_name (clear) "", # new_dataset_description (clear) "", # template_selector (reset) new_dataset, # current_dataset_state message # status_message ) else: return ( gr.Row(visible=True), # create_section (keep visible) gr.update(), # dataset_selector (no change) name, # new_dataset_name (keep) description, # new_dataset_description (keep) template, # template_selector (keep) None, # current_dataset_state message # status_message ) except Exception as e: return ( gr.Row(visible=True), # create_section (keep visible) gr.update(), # dataset_selector (no change) name, # new_dataset_name (keep) description, # new_dataset_description (keep) template, # template_selector (keep) None, # current_dataset_state f"❌ Error creating dataset: {str(e)}" # status_message ) def on_add_test_case(editing_dataset, message_text, classification): """Add a new test case to the dataset.""" try: if not editing_dataset: return ( "", # test_cases_display editing_dataset, # editing_dataset_state message_text, # new_message_text (keep) classification, # new_message_classification (keep) "❌ No dataset being edited" # status_message ) if not message_text or not message_text.strip(): return ( dataset_controller.render_test_cases_display(editing_dataset), # test_cases_display editing_dataset, # editing_dataset_state message_text, # new_message_text (keep) classification, # new_message_classification (keep) "❌ Message text is required" # status_message ) # Add test case success, message, updated_dataset = dataset_controller.add_test_case( editing_dataset, message_text.strip(), classification ) if success: # Render updated test cases test_cases_html = dataset_controller.render_test_cases_display(updated_dataset) return ( test_cases_html, # test_cases_display updated_dataset, # editing_dataset_state "", # new_message_text (clear) "yellow", # new_message_classification (reset) message # status_message ) else: return ( dataset_controller.render_test_cases_display(editing_dataset), # test_cases_display editing_dataset, # editing_dataset_state message_text, # new_message_text (keep) classification, # new_message_classification (keep) message # status_message ) except Exception as e: return ( "", # test_cases_display editing_dataset, # editing_dataset_state message_text, # new_message_text (keep) classification, # new_message_classification (keep) f"❌ Error adding test case: {str(e)}" # status_message ) def on_clear_form(): """Clear the add test case form.""" return ( "", # new_message_text "yellow", # new_message_classification "🗑️ Form cleared" # status_message ) def on_save_dataset(editing_dataset): """Save the current dataset.""" try: if not editing_dataset: return "❌ No dataset being edited" success, message = dataset_controller.save_dataset(editing_dataset) return message except Exception as e: return f"❌ Error saving dataset: {str(e)}" # Bind event handlers dataset_selector.change( on_dataset_selection_change, inputs=[dataset_selector], outputs=[dataset_info_display, current_dataset_state] ) edit_dataset_btn.click( on_edit_dataset, inputs=[current_dataset_state], outputs=[edit_section, test_cases_display, editing_dataset_state, status_message] ) create_dataset_btn.click( on_show_create, outputs=[create_section, status_message] ) create_cancel_btn.click( on_cancel_create, outputs=[create_section, new_dataset_name, new_dataset_description, template_selector, status_message] ) create_confirm_btn.click( on_create_dataset, inputs=[new_dataset_name, new_dataset_description, template_selector], outputs=[create_section, dataset_selector, new_dataset_name, new_dataset_description, template_selector, current_dataset_state, status_message] ) close_edit_btn.click( on_close_edit, outputs=[edit_section, new_message_text, new_message_classification, status_message] ) add_test_case_btn.click( on_add_test_case, inputs=[editing_dataset_state, new_message_text, new_message_classification], outputs=[test_cases_display, editing_dataset_state, new_message_text, new_message_classification, status_message] ) clear_form_btn.click( on_clear_form, outputs=[new_message_text, new_message_classification, status_message] ) save_dataset_btn.click( on_save_dataset, inputs=[editing_dataset_state], outputs=[status_message] ) return interface