Column Styling

The set_column_style method allows you to configure various aspects of a column in the Agentic Table, including width, filters, cell renderers, and editability.

#column-styling-set-column-style-signature

AgenticTableService.set_column_style(
    column=column,
    width=width,
    cell_renderer=cell_renderer,
    filter=filter,
    editable=editable
)

Parameters

column (int, required)

The column index (0-based) to style.

width (int | None, optional)

The width of the column in pixels.

cell_renderer (CellRendererTypes | None, optional)

The type of cell renderer to use for the column. See Column Renderers section below.

filter (FilterTypes | None, optional)

The type of filter to apply to the column. See Column Filters section below.

editable (bool | None, optional)

Whether the column cells are editable by users.

Column Width

Set the width of a column in pixels.

Example:

#column-styling-set-column-width

from unique_toolkit.agentic_table import AgenticTableService

service = AgenticTableService(
    user_id="user_123",
    company_id="company_456",
    table_id="table_789"
)

# Set column width to 300 pixels
await service.set_column_style(column=0, width=300)

Column Filters

Filters allow users to filter rows based on column values. Different filter types provide different filtering capabilities.

Available Filter Types:

• FilterTypes.VALUE_MATCH_FILTER: Exact value matching filter
• FilterTypes.PARTIAL_MATCH_FILTER: Partial/substring matching filter
• FilterTypes.REFERENCE_FILTER: Filter based on references
• FilterTypes.HALLUCINATION_FILTER: Filter by hallucination scores
• FilterTypes.REVIEW_STATUS_FILTER: Filter by review status
• FilterTypes.ASSIGNEE_FILTER: Filter by assignee

Example:

#column-styling-set-filter

from unique_toolkit.agentic_table import AgenticTableService, FilterTypes

service = AgenticTableService(
    user_id="user_123",
    company_id="company_456",
    table_id="table_789"
)

# Add a value match filter to column 2
await service.set_column_style(
    column=2,
    filter=FilterTypes.VALUE_MATCH_FILTER
)

# Add a review status filter to column 4
await service.set_column_style(
    column=4,
    filter=FilterTypes.REVIEW_STATUS_FILTER
)

Column Renderers

Cell renderers control how cells are displayed and interacted with in the column. Different renderer types provide different UI components and behaviors.

Available Cell Renderer Types:

• CellRendererTypes.CHECKBOX_LOCK_CELL_RENDERER: Renders cells as checkboxes with lock functionality
• CellRendererTypes.COLLABORATOR_DROPDOWN: Renders a dropdown for selecting collaborators

• CellRendererTypes.REVIEW_STATUS_DROPDOWN: Renders a dropdown for selecting review status

- CellRendererTypes.CUSTOM_CELL_RENDERER: Markdown renderer for rendering markdown text - CellRendererTypes.SELECTABLE_CELL_RENDERER: Markdown rendering + cells as selectable (for cell selection functionality)

Example:

#column-styling-set-cell-renderer

from unique_toolkit.agentic_table import AgenticTableService, CellRendererTypes

service = AgenticTableService(
    user_id="user_123",
    company_id="company_456",
    table_id="table_789"
)

# Set a review status dropdown renderer for column 3
await service.set_column_style(
    column=3,
    cell_renderer=CellRendererTypes.REVIEW_STATUS_DROPDOWN
)

# Set a collaborator dropdown renderer for column 5
await service.set_column_style(
    column=5,
    cell_renderer=CellRendererTypes.COLLABORATOR_DROPDOWN
)

# Set a selectable cell renderer for column 2
await service.set_column_style(
    column=2,
    cell_renderer=CellRendererTypes.SELECTABLE_CELL_RENDERER
)

Column Editability

Control whether users can edit cells in a column. When set to False, the column becomes read-only.

Example:

#column-styling-set-editability

from unique_toolkit.agentic_table import AgenticTableService

service = AgenticTableService(
    user_id="user_123",
    company_id="company_456",
    table_id="table_789"
)

# Make column 0 read-only
await service.set_column_style(column=0, editable=False)

# Make column 1 editable
await service.set_column_style(column=1, editable=True)

Selectable Cells

To enable cell selection functionality in a column, use the SELECTABLE_CELL_RENDERER renderer type. This allows users to select individual cells, which can then be used with cell metadata (see Cell Rendering for more details on cell selection).

Example:

#column-styling-selectable-cells

from unique_toolkit.agentic_table import (
    AgenticTableService,
    CellRendererTypes
)

service = AgenticTableService(
    user_id="user_123",
    company_id="company_456",
    table_id="table_789"
)

# Enable selectable cells in column 2
await service.set_column_style(
    column=2,
    cell_renderer=CellRendererTypes.SELECTABLE_CELL_RENDERER
)

Complete Example

Configure multiple column properties at once:

#column-styling-complete-example

from unique_toolkit.agentic_table import (
    AgenticTableService,
    CellRendererTypes,
    FilterTypes
)

service = AgenticTableService(
    user_id="user_123",
    company_id="company_456",
    table_id="table_789"
)

# Configure a column with width, renderer, filter, and editability
await service.set_column_style(
    column=0,
    width=300,
    cell_renderer=CellRendererTypes.REVIEW_STATUS_DROPDOWN,
    filter=FilterTypes.REVIEW_STATUS_FILTER,
    editable=True
)

# Configure another column as read-only with selectable cells
await service.set_column_style(
    column=1,
    width=400,
    cell_renderer=CellRendererTypes.SELECTABLE_CELL_RENDERER,
    editable=False
)

# Update only the width of an existing column
await service.set_column_style(
    column=2,
    width=250
)

Notes

• All parameters except column are optional. You can update any combination of column properties.
• Setting a parameter to None will not change that field's current value.
• Column styling is applied at the column level and affects all cells in that column.
• The SELECTABLE_CELL_RENDERER is typically used in conjunction with cell metadata to track which cells are selected (see Cell Rendering).
• Filters and renderers work together to provide a rich user experience for data interaction and filtering.