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"""Tests for Gradio UI components and their interactions.
This module tests the Mosaic Gradio UI components, including:
- Settings validation
- Analysis workflow
"""
import pytest
import pandas as pd
from unittest.mock import Mock, patch, MagicMock
from pathlib import Path
# Import after mocking (mocks are set up in conftest.py)
from mosaic.ui.app import (
analyze_slides,
set_cancer_subtype_maps,
)
from mosaic.ui.utils import SETTINGS_COLUMNS
class TestSettingsValidation:
"""Test settings validation logic."""
@patch("mosaic.ui.utils.gr.Warning")
def test_invalid_cancer_subtype_defaults_to_unknown(
self, mock_warning, mock_cancer_subtype_maps
):
"""Test invalid cancer subtype generates warning and defaults to Unknown."""
from mosaic.ui.utils import validate_settings
cancer_subtype_name_map, reversed_map, cancer_subtypes = (
mock_cancer_subtype_maps
)
# Create DataFrame with invalid cancer subtype
df = pd.DataFrame(
{
"Slide": ["test.svs"],
"Site Type": ["Primary"],
"Sex": ["Unknown"],
"Tissue Site": ["Unknown"],
"Cancer Subtype": ["InvalidSubtype"],
"IHC Subtype": [""],
"Segmentation Config": ["Biopsy"],
}
)
result = validate_settings(
df, cancer_subtype_name_map, cancer_subtypes, reversed_map
)
# Should default to Unknown
assert result.iloc[0]["Cancer Subtype"] == "Unknown"
# Warning should be called
assert mock_warning.called
@patch("mosaic.ui.utils.gr.Warning")
def test_invalid_site_type_defaults_to_primary(
self, mock_warning, mock_cancer_subtype_maps
):
"""Test invalid site type generates warning and defaults to Primary."""
from mosaic.ui.utils import validate_settings
cancer_subtype_name_map, reversed_map, cancer_subtypes = (
mock_cancer_subtype_maps
)
df = pd.DataFrame(
{
"Slide": ["test.svs"],
"Site Type": ["InvalidSite"],
"Sex": ["Unknown"],
"Tissue Site": ["Unknown"],
"Cancer Subtype": ["Unknown"],
"IHC Subtype": [""],
"Segmentation Config": ["Biopsy"],
}
)
result = validate_settings(
df, cancer_subtype_name_map, cancer_subtypes, reversed_map
)
assert result.iloc[0]["Site Type"] == "Primary"
assert mock_warning.called
class TestAnalysisWorkflow:
"""Test analysis workflow with mocked analyze_slide."""
@patch("mosaic.ui.app.analyze_slide")
@patch("mosaic.ui.app.create_user_directory")
def test_single_slide_analysis_no_model_cache(
self,
mock_create_dir,
mock_analyze,
sample_files_single,
mock_analyze_slide_results,
mock_cancer_subtype_maps,
temp_output_dir,
):
"""Test single slide analysis doesn't load model cache."""
cancer_subtype_name_map, reversed_map, cancer_subtypes = (
mock_cancer_subtype_maps
)
set_cancer_subtype_maps(cancer_subtype_name_map, reversed_map, cancer_subtypes)
# Setup mocks
mock_create_dir.return_value = temp_output_dir
mock_analyze.return_value = mock_analyze_slide_results
# Generate settings DataFrame manually
settings_df = pd.DataFrame(
{
"Slide": ["test_slide_1.svs"],
"Site Type": ["Primary"],
"Sex": ["Unknown"],
"Tissue Site": ["Unknown"],
"Cancer Subtype": ["Unknown"],
"IHC Subtype": [""],
"Segmentation Config": ["Biopsy"],
}
)
# Call analyze_slides (generator)
gen = analyze_slides(
sample_files_single,
settings_df,
"Primary",
"Unknown",
"Unknown",
"Unknown",
"",
"Biopsy",
temp_output_dir,
)
# Consume generator
results = list(gen)
# Should yield at least once (intermediate + final)
assert len(results) >= 1
# analyze_slide should be called once
assert mock_analyze.call_count == 1
# Should be called with model_cache=None (single-slide mode)
call_kwargs = mock_analyze.call_args[1]
assert call_kwargs["model_cache"] is None
@patch("mosaic.ui.app.load_all_models")
@patch("mosaic.ui.app.analyze_slide")
@patch("mosaic.ui.app.create_user_directory")
def test_batch_analysis_loads_model_cache_once(
self,
mock_create_dir,
mock_analyze,
mock_load_models,
sample_files_multiple,
mock_analyze_slide_results,
mock_model_cache,
mock_cancer_subtype_maps,
temp_output_dir,
):
"""Test batch analysis loads models once and reuses cache."""
from PIL import Image
cancer_subtype_name_map, reversed_map, cancer_subtypes = (
mock_cancer_subtype_maps
)
set_cancer_subtype_maps(cancer_subtype_name_map, reversed_map, cancer_subtypes)
# Setup mocks - return new DataFrames on each call to avoid mutation issues
def mock_analyze_side_effect(*args, **kwargs):
mask = Image.new("RGB", (100, 100), color="red")
aeon_results = pd.DataFrame(
{"Cancer Subtype": ["LUAD"], "Confidence": [0.95]}
)
paladin_results = pd.DataFrame(
{
"Cancer Subtype": ["LUAD", "LUAD", "LUAD"],
"Biomarker": ["TP53", "KRAS", "EGFR"],
"Score": [0.85, 0.72, 0.63],
}
)
return (mask, aeon_results, paladin_results)
mock_create_dir.return_value = temp_output_dir
mock_load_models.return_value = mock_model_cache
mock_analyze.side_effect = mock_analyze_side_effect
# Generate settings DataFrame manually for 3 files
settings_df = pd.DataFrame(
{
"Slide": ["test_slide_1.svs", "test_slide_2.svs", "test_slide_3.svs"],
"Site Type": ["Primary", "Primary", "Primary"],
"Sex": ["Unknown", "Unknown", "Unknown"],
"Tissue Site": ["Unknown", "Unknown", "Unknown"],
"Cancer Subtype": ["Unknown", "Unknown", "Unknown"],
"IHC Subtype": ["", "", ""],
"Segmentation Config": ["Biopsy", "Biopsy", "Biopsy"],
}
)
# Call analyze_slides
gen = analyze_slides(
sample_files_multiple,
settings_df,
"Primary",
"Unknown",
"Unknown",
"Unknown",
"",
"Biopsy",
temp_output_dir,
)
# Consume generator
results = list(gen)
# load_all_models should be called once
assert mock_load_models.call_count == 1
# analyze_slide should be called 3 times (once per file)
assert mock_analyze.call_count == 3
# All calls should use the same model_cache
for call in mock_analyze.call_args_list:
assert call[1]["model_cache"] == mock_model_cache
# cleanup should be called
assert mock_model_cache.cleanup.called
@patch("mosaic.ui.app.create_user_directory")
def test_no_slides_raises_error(
self, mock_create_dir, mock_cancer_subtype_maps, temp_output_dir
):
"""Test that no slides uploaded raises gr.Error."""
import gradio as gr
cancer_subtype_name_map, reversed_map, cancer_subtypes = (
mock_cancer_subtype_maps
)
set_cancer_subtype_maps(cancer_subtype_name_map, reversed_map, cancer_subtypes)
mock_create_dir.return_value = temp_output_dir
# Call with no slides
gen = analyze_slides(
None,
None,
"Primary",
"Unknown",
"Unknown",
"Unknown",
"",
"Biopsy",
temp_output_dir,
)
# Should raise gr.Error
with pytest.raises(gr.Error):
next(gen)
@patch("mosaic.ui.app.create_user_directory")
def test_settings_mismatch_raises_error(
self,
mock_create_dir,
sample_files_multiple,
sample_settings_df,
mock_cancer_subtype_maps,
temp_output_dir,
):
"""Test that settings count mismatch raises gr.Error."""
import gradio as gr
cancer_subtype_name_map, reversed_map, cancer_subtypes = (
mock_cancer_subtype_maps
)
set_cancer_subtype_maps(cancer_subtype_name_map, reversed_map, cancer_subtypes)
mock_create_dir.return_value = temp_output_dir
# sample_files_multiple has 3 files, sample_settings_df has 3 rows
# Manually create mismatch by using only 2 files
two_files = sample_files_multiple[:2]
gen = analyze_slides(
two_files,
sample_settings_df,
"Primary",
"Unknown",
"Unknown",
"Unknown",
"",
"Biopsy",
temp_output_dir,
)
# Should raise gr.Error about mismatch
with pytest.raises(gr.Error):
next(gen)
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