## Delete Evaluation Dashboard

**delete** `/v5/evaluation-dashboards/{dashboard_id}`

Soft-delete a dashboard by setting its archived timestamp.

The dashboard row is retained and marked archived rather than physically removed, so
it stops appearing in default listings but can still be fetched with
`include_archived=true`; the archived dashboard is returned by this call. Associated
widgets and widget results are not deleted or detached. Returns a not-found error if
the dashboard does not exist in the caller's account.

### Path Parameters

- `dashboard_id: string`

### Returns

- `EvaluationDashboard object { id, account_id, created_at, 13 more }`

  - `id: string`

    Unique identifier of the dashboard

  - `account_id: string`

    Account that owns this dashboard

  - `created_at: string`

    When the dashboard was created

  - `created_by: Identity`

    The identity that created the entity.

    - `id: string`

    - `type: "user" or "service_account"`

      - `"user"`

      - `"service_account"`

    - `object: optional "identity"`

      - `"identity"`

  - `name: string`

    Dashboard name

  - `tags: array of string`

    The tags associated with the entity

  - `updated_at: string`

    When the dashboard was last updated

  - `archived_at: optional string`

    When the dashboard was archived (soft-deleted)

  - `description: optional string`

    Dashboard description

  - `error_message: optional string`

    Error message if computation failed

  - `evaluation_group_id: optional string`

    Evaluation group ID

  - `evaluation_id: optional string`

    Evaluation ID

  - `object: optional "evaluation_dashboard"`

    - `"evaluation_dashboard"`

  - `widget_order: optional array of string`

    Ordered array of widget IDs

  - `widget_results: optional array of EvaluationDashboardWidgetResult`

    Widget results for this dashboard. Populated with 'widget_results' view.

    - `id: string`

      Unique identifier of the widget result

    - `account_id: string`

      Account that owns this widget result

    - `computation_status: "pending" or "completed" or "failed"`

      Status of the computation

      - `"pending"`

      - `"completed"`

      - `"failed"`

    - `created_at: string`

      When the widget result was created

    - `widget_id: string`

      Unique identifier of the widget

    - `computation_job_id: optional string`

      Temporal workflow ID or job ID for async computation tracking

    - `computed_at: optional string`

      Timestamp when computation completed successfully

    - `computed_result: optional map[unknown]`

      Cached computation results

    - `error_message: optional string`

      Error message if computation failed

    - `evaluation_group_id: optional string`

      FK to evaluation_groups. Null if result is for a single evaluation.

    - `evaluation_id: optional string`

      FK to evaluations. Null if result is for an evaluation group.

    - `object: optional "evaluation_dashboard_widget_result"`

      - `"evaluation_dashboard_widget_result"`

    - `widget: optional EvaluationDashboardWidget`

      Widget that this result is for

      - `id: string`

        Unique identifier of the widget

      - `account_id: string`

        Account that owns this widget

      - `created_at: string`

        When the widget was created

      - `title: string`

        Widget title

      - `type: EvaluationWidgetTypeEnum`

        Widget type

        - `"bar"`

        - `"histogram"`

        - `"donut"`

        - `"scatter"`

        - `"metric"`

        - `"table"`

        - `"markdown"`

        - `"heading"`

        - `"timeseries"`

      - `archived_at: optional string`

        When the widget was archived (soft-deleted)

      - `config: optional map[unknown]`

        Chart-specific display configuration

      - `object: optional "evaluation_dashboard_widget"`

        - `"evaluation_dashboard_widget"`

      - `query: optional SeriesQuery or MetricQuery`

        Structured query AST for metric computation (SeriesQuery or MetricQuery)

        - `SeriesQuery object { select, evaluation_ids, filter, 4 more }`

          Query that returns a series of records (used for table/bar/histogram/donut/scatter widgets).

          Used for widget types: table, bar, histogram, donut, scatter.
          Returns: {"type": "series", "data": [...]}

          Example SQL equivalent:
          SELECT category, AVG(score) as avg_score, COUNT(*) as count
          FROM evaluation_items
          WHERE score > 0.5 AND category = 'test'
          GROUP BY category
          ORDER BY avg_score DESC
          LIMIT 100

          - `select: array of SelectItem`

            - `expression: object { column, source, type }  or object { column, function, evaluation_ids, 3 more }`

              Reference to a column from evaluation_items.data

              Example:
              {"type": "COLUMN", "column": "category"}

              - `Column object { column, source, type }`

                Reference to a column from evaluation_items.data

                Example:
                {"type": "COLUMN", "column": "category"}

                - `column: string`

                  Column name from evaluation_items.data

                - `source: optional string`

                  Column source: 'data' or 'task_result_cache'

                - `type: optional "COLUMN"`

                  - `"COLUMN"`

              - `Aggregation object { column, function, evaluation_ids, 3 more }`

                Aggregation function to apply

                Examples:
                {"type": "AGGREGATION", "function": "AVG", "column": "score"}
                {"type": "AGGREGATION", "function": "COUNT", "column": "*"}
                {"type": "AGGREGATION", "function": "PERCENTILE", "column": "score", "params": {"percentile": 95}}

                - `column: string`

                  Column to aggregate, or '*' for COUNT(*)

                - `function: "COUNT" or "SUM" or "AVG" or 7 more`

                  Supported aggregation functions

                  - `"COUNT"`

                  - `"SUM"`

                  - `"AVG"`

                  - `"MIN"`

                  - `"MAX"`

                  - `"STDDEV"`

                  - `"VARIANCE"`

                  - `"PERCENTILE"`

                  - `"COUNT_DISTINCT"`

                  - `"PERCENTAGE"`

                - `evaluation_ids: optional array of string`

                  Optional subset of evaluation IDs for per-aggregation filtering in evaluation group dashboards.

                - `params: optional map[unknown]`

                  Function parameters (e.g., {'percentile': 95} for PERCENTILE, {'percentage_filters': Filter} for PERCENTAGE)

                - `source: optional string`

                  Column source: 'data' or 'task_result_cache'

                - `type: optional "AGGREGATION"`

                  - `"AGGREGATION"`

            - `alias: optional string`

              Optional alias for the selected item

          - `evaluation_ids: optional array of string`

            Optional subset of evaluation IDs to compute on. Only applicable for evaluation group dashboards. If omitted, computes on all evaluations in the group.

          - `filter: optional Filter`

            Filter conditions (WHERE clause)

            - `conditions: array of object { column, operator, source, value }`

              - `column: string`

                Column name to filter on

              - `operator: "=" or "!=" or ">" or 9 more`

                Comparison operator

                - `"="`

                - `"!="`

                - `">"`

                - `"<"`

                - `">="`

                - `"<="`

                - `"IN"`

                - `"NOT IN"`

                - `"LIKE"`

                - `"NOT LIKE"`

                - `"IS NULL"`

                - `"IS NOT NULL"`

              - `source: optional string`

                Column source: 'data' or 'task_result_cache'

              - `value: optional string or number or boolean or array of unknown`

                Value to compare against. Not required for IS NULL / IS NOT NULL operators.

                - `string`

                - `number`

                - `boolean`

                - `array of unknown`

            - `logicalOperators: optional array of "AND" or "OR"`

              Logical operators connecting conditions. Length must be len(conditions) - 1

              - `"AND"`

              - `"OR"`

          - `groupBy: optional array of string`

            Columns to group by

          - `latest_only: optional boolean`

            When True, the widget computes against rows from only the most recent active evaluation in the group (by EvaluationORM.created_at). Only applicable for evaluation group dashboards. Composes with evaluation_ids (latest within the subset). Cannot be combined with per-aggregation evaluation_ids; the use case enforces these rules.

          - `limit: optional number`

            Max rows to return

          - `orderBy: optional array of object { column, direction, source }`

            Sort order

            - `column: string`

              Column name to sort by

            - `direction: optional "ASC" or "DESC"`

              Sort direction

              - `"ASC"`

              - `"DESC"`

            - `source: optional string`

              Column source: 'data' or 'task_result_cache'

        - `MetricQuery object { select, evaluation_ids, filter, latest_only }`

          Query that returns a single metric value (used for metric widgets).

          Used for widget type: metric.
          Enforces exactly 1 aggregation in select.
          Returns: {"type": "metric", "data": ...}

          Example SQL equivalent:
          SELECT AVG(score) as average_score
          FROM evaluation_items

          - `select: array of SelectItem`

            - `expression: object { column, source, type }  or object { column, function, evaluation_ids, 3 more }`

              Reference to a column from evaluation_items.data

              Example:
              {"type": "COLUMN", "column": "category"}

            - `alias: optional string`

              Optional alias for the selected item

          - `evaluation_ids: optional array of string`

            Optional subset of evaluation IDs to compute on. Only applicable for evaluation group dashboards. If omitted, computes on all evaluations in the group.

          - `filter: optional Filter`

            Filter conditions (WHERE clause)

          - `latest_only: optional boolean`

            When True, the widget computes against rows from only the most recent active evaluation in the group (by EvaluationORM.created_at). Only applicable for evaluation group dashboards. Composes with evaluation_ids (latest within the subset). Cannot be combined with per-aggregation evaluation_ids; the use case enforces these rules.

  - `widgets: optional array of EvaluationDashboardWidget`

    Widgets associated with this dashboard. Populated with 'widgets' view.

    - `id: string`

      Unique identifier of the widget

    - `account_id: string`

      Account that owns this widget

    - `created_at: string`

      When the widget was created

    - `title: string`

      Widget title

    - `type: EvaluationWidgetTypeEnum`

      Widget type

    - `archived_at: optional string`

      When the widget was archived (soft-deleted)

    - `config: optional map[unknown]`

      Chart-specific display configuration

    - `object: optional "evaluation_dashboard_widget"`

    - `query: optional SeriesQuery or MetricQuery`

      Structured query AST for metric computation (SeriesQuery or MetricQuery)

### Example

```http
curl https://api.egp.scale.com/v5/evaluation-dashboards/$DASHBOARD_ID \
    -X DELETE \
    -H "x-api-key: $SGP_API_KEY"
```

#### Response

```json
{
  "id": "id",
  "account_id": "account_id",
  "created_at": "2019-12-27T18:11:19.117Z",
  "created_by": {
    "id": "id",
    "type": "user",
    "object": "identity"
  },
  "name": "name",
  "tags": [
    "string"
  ],
  "updated_at": "2019-12-27T18:11:19.117Z",
  "archived_at": "2019-12-27T18:11:19.117Z",
  "description": "description",
  "error_message": "error_message",
  "evaluation_group_id": "evaluation_group_id",
  "evaluation_id": "evaluation_id",
  "object": "evaluation_dashboard",
  "widget_order": [
    "string"
  ],
  "widget_results": [
    {
      "id": "id",
      "account_id": "account_id",
      "computation_status": "pending",
      "created_at": "2019-12-27T18:11:19.117Z",
      "widget_id": "widget_id",
      "computation_job_id": "computation_job_id",
      "computed_at": "2019-12-27T18:11:19.117Z",
      "computed_result": {
        "foo": "bar"
      },
      "error_message": "error_message",
      "evaluation_group_id": "evaluation_group_id",
      "evaluation_id": "evaluation_id",
      "object": "evaluation_dashboard_widget_result",
      "widget": {
        "id": "id",
        "account_id": "account_id",
        "created_at": "2019-12-27T18:11:19.117Z",
        "title": "title",
        "type": "bar",
        "archived_at": "2019-12-27T18:11:19.117Z",
        "config": {
          "foo": "bar"
        },
        "object": "evaluation_dashboard_widget",
        "query": {
          "select": [
            {
              "expression": {
                "column": "column",
                "source": "source",
                "type": "COLUMN"
              },
              "alias": "alias"
            }
          ],
          "evaluation_ids": [
            "string"
          ],
          "filter": {
            "conditions": [
              {
                "column": "column",
                "operator": "=",
                "source": "source",
                "value": "string"
              }
            ],
            "logicalOperators": [
              "AND"
            ]
          },
          "groupBy": [
            "string"
          ],
          "latest_only": true,
          "limit": 1,
          "orderBy": [
            {
              "column": "column",
              "direction": "ASC",
              "source": "source"
            }
          ]
        }
      }
    }
  ],
  "widgets": [
    {
      "id": "id",
      "account_id": "account_id",
      "created_at": "2019-12-27T18:11:19.117Z",
      "title": "title",
      "type": "bar",
      "archived_at": "2019-12-27T18:11:19.117Z",
      "config": {
        "foo": "bar"
      },
      "object": "evaluation_dashboard_widget",
      "query": {
        "select": [
          {
            "expression": {
              "column": "column",
              "source": "source",
              "type": "COLUMN"
            },
            "alias": "alias"
          }
        ],
        "evaluation_ids": [
          "string"
        ],
        "filter": {
          "conditions": [
            {
              "column": "column",
              "operator": "=",
              "source": "source",
              "value": "string"
            }
          ],
          "logicalOperators": [
            "AND"
          ]
        },
        "groupBy": [
          "string"
        ],
        "latest_only": true,
        "limit": 1,
        "orderBy": [
          {
            "column": "column",
            "direction": "ASC",
            "source": "source"
          }
        ]
      }
    }
  ]
}
```