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"""Reusable UI components."""
from __future__ import annotations
import gradio as gr
from stroke_deepisles_demo.core.config import get_settings
from stroke_deepisles_demo.core.logging import get_logger
from stroke_deepisles_demo.data import list_case_ids
logger = get_logger(__name__)
def create_case_selector() -> gr.Dropdown:
"""
Create a dropdown for selecting cases.
Returns:
Configured gr.Dropdown component
Raises:
RuntimeError: If case IDs cannot be loaded (no silent fallback)
"""
try:
case_ids = list_case_ids()
except FileNotFoundError as e:
# Data directory not found - fail loudly with helpful message
logger.error("Data directory not found: %s", e)
raise RuntimeError("ISLES24 data not found. Please run: uv run stroke-demo download") from e
except Exception as e:
# Unexpected error - fail loudly, don't mask with fake dropdown option
logger.exception("Failed to load case IDs")
raise RuntimeError(f"Failed to load case IDs: {e}") from e
if not case_ids:
raise RuntimeError("No cases found in dataset. Please verify data directory structure.")
return gr.Dropdown(
choices=case_ids,
value=case_ids[0],
label="Select Case",
info="Choose a case from ISLES24-MR-Lite",
filterable=True,
)
def create_results_display() -> dict[str, gr.components.Component]:
"""
Create results display components.
Returns:
Dictionary of component name -> gr.Component
"""
# Using gr.Group to group them visually
with gr.Group():
# NiiVue visualization uses HTML
niivue_viewer = gr.HTML(label="Interactive 3D Viewer")
# Slice comparisons (Matplotlib)
slice_plot = gr.Plot(label="Slice Comparison")
metrics = gr.JSON(label="Metrics")
download = gr.File(label="Download Prediction")
return {
"niivue_viewer": niivue_viewer,
"slice_plot": slice_plot,
"metrics": metrics,
"download": download,
}
def create_settings_accordion() -> dict[str, gr.components.Component]:
"""
Create expandable settings section.
Returns:
Dictionary of setting name -> gr.Component
"""
settings = get_settings()
with gr.Accordion("Advanced Settings", open=False):
fast_mode = gr.Checkbox(
value=settings.deepisles_fast_mode,
label="Fast Mode (SEALS)",
info="Run SEALS only (ISLES'22 winner, requires DWI+ADC). Disable for full ensemble (requires FLAIR).",
)
show_ground_truth = gr.Checkbox(
value=True,
label="Show Ground Truth",
info="Display ground truth mask if available",
)
return {
"fast_mode": fast_mode,
"show_ground_truth": show_ground_truth,
}
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