webinterface.pages.base_pages.tabs.tab3_view_single_result module#

Generic Tab 3: In-Depth Plots

This module provides a unified interface for displaying in-depth analysis plots across all ProteoBench module types (Quant, De Novo, etc.).

webinterface.pages.base_pages.tabs.tab3_view_single_result.create_pmultiqc_report_section(performance_data: DataFrame) → str[source]#

Create a section in the Streamlit app to display the pMultiQC report.

Parameters:

performance_data (pd.DataFrame) – The performance data to generate the report from.

Returns:

The HTML content of the generated report.

Return type:

str

webinterface.pages.base_pages.tabs.tab3_view_single_result.display_in_depth_plots_generic(variables, ionmodule, performance_data: DataFrame, **kwargs) → None[source]#

Generic function to display in-depth plots for any module type.

This is a simpler alternative to generate_indepth_plots when you already have the performance data loaded.

Parameters:

  • variables (object) – Variables object.

  • ionmodule (object) – The module instance.

  • performance_data (pd.DataFrame) – The performance data to visualize.

  • **kwargs (dict) – Additional module-specific parameters to pass to generate_in_depth_plots.

webinterface.pages.base_pages.tabs.tab3_view_single_result.display_performance_table(performance_data: DataFrame, variables, user_input: dict, public_id: str, public_hash: str | None = None) → None[source]#

Display the performance data table with download option.

Parameters:

  • performance_data (pd.DataFrame) – The performance data to display.

  • variables (object) – Variables object.

  • user_input (dict) – User input parameters.

  • public_id (str) – The dataset identifier.

  • public_hash (Optional[str]) – The hash of the public dataset (for stable cache key).

webinterface.pages.base_pages.tabs.tab3_view_single_result.display_plots_with_layout(plots: dict, plot_generator, variables, public_id: str) → None[source]#

Display plots using the module’s layout configuration.

Parameters:

  • plots (dict) – Dictionary of plot names to plotly figures.

  • plot_generator (PlotGeneratorBase) – The plot generator instance.

  • variables (object) – Variables object.

  • public_id (str) – The dataset identifier for display in titles.

webinterface.pages.base_pages.tabs.tab3_view_single_result.display_pmultiqc_report(performance_data: DataFrame, sample_name: str, cache_key: str) → None[source]#

Display the pMultiQC report section.

Parameters:

  • performance_data (pd.DataFrame) – The performance data to generate the report from.

  • sample_name (str) – The name of the sample for the report (used in filenames).

  • cache_key (str) – Stable identifier for caching (independent of reruns).

webinterface.pages.base_pages.tabs.tab3_view_single_result.generate_indepth_plots(module, variables, parsesettingsbuilder, user_input, public_id: str | None, public_hash: str | None, metric: str = 'Median', mode: str = 'Species-weighted', colorblind_mode: bool = False) → Figure | None[source]#

Generate and display in-depth plots for the selected dataset.

Works generically across all module types by using the plot_generator interface.

Parameters:

  • module (object) – The module instance (Quant, De Novo, etc.).

  • variables (object) – Variables object containing session state keys.

  • parsesettingsbuilder (ParseSettingsBuilder) – Parse settings builder for the module.

  • user_input (dict) – User input parameters.

  • public_id (Optional[str]) – The dataset identifier (“Uploaded dataset” or public run name).

  • public_hash (Optional[str]) – The hash of the selected public dataset.

  • metric (str, optional) – The metric to use for plotting (e.g., “Median”, “Mean”). Defaults to “Median”.

  • mode (str, optional) – The mode for metric calculation (e.g., “Global”, “Species-specific”). Defaults to “Species-specific”.

  • colorblind_mode (bool, optional) – Whether to use colorblind-friendly colors. Defaults to False.

Returns:

The first generated plot or None if generation fails.

Return type:

Optional[go.Figure]

webinterface.pages.base_pages.tabs.tab3_view_single_result.generate_sample_name(input_format: str) → str[source]#

Generate a unique sample name based on input format and timestamp.

Parameters:

input_format (str) – The input format/software name.

Returns:

The generated sample name.

Return type:

str

webinterface.pages.base_pages.tabs.tab3_view_single_result.load_public_performance_data(public_hash: str) → DataFrame | None[source]#

Load performance data for a public dataset from storage.

Parameters:

public_hash (str) – The hash identifier of the public dataset.

Returns:

The loaded performance data or None if loading fails.

Return type:

Optional[pd.DataFrame]

webinterface.pages.base_pages.tabs.tab3_view_single_result.show_download_button(html_content: str, disabled: bool, sample_name: str) → None[source]#

Display a download button for the pMultiQC report.

Parameters:

  • html_content (str) – The HTML content of the report.

  • disabled (bool) – Whether the download button should be disabled.

  • sample_name (str) – The name of the sample for the report filename.