Vega - Unrecognized function: vlSelectionTest

[francisca-lima]

Hello,

I am using the last version of Elastic/Kibana, 6.6, and vega has the following output: vega - Unrecognized function: vlSelectionTest. Anyone with the same issue? What can I do?
vlSelectionResolve not working as well.

Thank you.

[elasticmachine]

Pinging @elastic/kibana-app

[timroes]

Could you please share your Vega spec for that chart?

[francisca-lima]

I was trying to use this example:

{
  "$schema": "https://vega.github.io/schema/vega/v4.json",
  "autosize": "pad",
  "padding": 5,
  "width": 800,
  "height": 400,
  "style": "cell",
  "data": [
    {"name": "label_store"},
    {
      "name": "source_0",
      "url": "data/stocks.csv",
      "format": {"type": "csv", "parse": {"date": "date"}, "delimiter": ","}
    },
    {
      "name": "data_0",
      "source": "source_0",
      "transform": [
        {"type": "filter", "expr": "(vlSelectionTest(\"label_store\", datum))"}
      ]
    }
  ],
  "signals": [
    {
      "name": "unit",
      "value": {},
      "on": [
        {"events": "mousemove", "update": "isTuple(group()) ? group() : unit"}
      ]
    },
    {"name": "label", "update": "vlSelectionResolve(\"label_store\")"},
    {
      "name": "label_tuple",
      "value": {},
      "on": [
        {
          "events": [{"source": "scope", "type": "mouseover"}],
          "update": "datum && item().mark.marktype !== 'group' ? {unit: \"layer_0_layer_1\", fields: label_tuple_fields, values: [(item().isVoronoi ? datum.datum : datum)[\"date\"]]} : null",
          "force": true
        }
      ]
    },
    {
      "name": "label_tuple_fields",
      "update": "[{\"field\":\"date\",\"channel\":\"x\",\"type\":\"E\"}]"
    },
    {
      "name": "label_modify",
      "on": [
        {
          "events": {"signal": "label_tuple"},
          "update": "modify(\"label_store\", label_tuple, true)"
        }
      ]
    }
  ],
  "marks": [
    {
      "name": "layer_0_layer_0_pathgroup",
      "type": "group",
      "from": {
        "facet": {
          "name": "faceted_path_layer_0_layer_0_main",
          "data": "source_0",
          "groupby": ["symbol"]
        }
      },
      "encode": {
        "update": {
          "width": {"field": {"group": "width"}},
          "height": {"field": {"group": "height"}}
        }
      },
      "marks": [
        {
          "name": "layer_0_layer_0_marks",
          "type": "line",
          "style": ["line"],
          "sort": {"field": "datum[\"date\"]", "order": "descending"},
          "from": {"data": "faceted_path_layer_0_layer_0_main"},
          "encode": {
            "update": {
              "stroke": {"scale": "color", "field": "symbol"},
              "tooltip": {
                "signal": "{\"date\": timeFormat(datum[\"date\"], '%b %d, %Y'), \"price\": format(datum[\"price\"], \"\"), \"symbol\": ''+datum[\"symbol\"]}"
              },
              "x": {"scale": "x", "field": "date"},
              "y": {"scale": "y", "field": "price"},
              "defined": {
                "signal": "datum[\"date\"] !== null && !isNaN(datum[\"date\"]) && datum[\"price\"] !== null && !isNaN(datum[\"price\"])"
              }
            }
          }
        }
      ]
    },
    {
      "name": "layer_0_layer_1_marks",
      "type": "symbol",
      "style": ["point"],
      "from": {"data": "source_0"},
      "encode": {
        "update": {
          "opacity": [
            {"test": "(vlSelectionTest(\"label_store\", datum))", "value": 1},
            {"value": 0}
          ],
          "fill": [
            {
              "test": "datum[\"date\"] === null || isNaN(datum[\"date\"]) || datum[\"price\"] === null || isNaN(datum[\"price\"])",
              "value": null
            },
            {"value": "transparent"}
          ],
          "stroke": [
            {
              "test": "datum[\"date\"] === null || isNaN(datum[\"date\"]) || datum[\"price\"] === null || isNaN(datum[\"price\"])",
              "value": null
            },
            {"scale": "color", "field": "symbol"}
          ],
          "tooltip": {
            "signal": "{\"date\": timeFormat(datum[\"date\"], '%b %d, %Y'), \"price\": format(datum[\"price\"], \"\"), \"symbol\": ''+datum[\"symbol\"]}"
          },
          "x": {"scale": "x", "field": "date"},
          "y": {"scale": "y", "field": "price"}
        }
      }
    },
    {
      "name": "layer_0_layer_1_voronoi",
      "type": "path",
      "from": {"data": "layer_0_layer_1_marks"},
      "encode": {
        "enter": {
          "fill": {"value": "transparent"},
          "strokeWidth": {"value": 0.35},
          "stroke": {"value": "transparent"},
          "isVoronoi": {"value": true}
        }
      },
      "transform": [
        {
          "type": "voronoi",
          "x": {"expr": "datum.datum.x || 0"},
          "y": {"expr": "0"},
          "size": [{"signal": "width"}, {"signal": "height"}]
        }
      ]
    },
    {
      "name": "layer_1_layer_0_marks",
      "type": "rule",
      "style": ["rule"],
      "from": {"data": "data_0"},
      "encode": {
        "update": {
          "stroke": [
            {
              "test": "datum[\"date\"] === null || isNaN(datum[\"date\"])",
              "value": null
            },
            {"value": "gray"}
          ],
          "tooltip": {
            "signal": "{\"date\": timeFormat(datum[\"date\"], '%b %d, %Y')}"
          },
          "x": {"scale": "x", "field": "date"},
          "y": {"field": {"group": "height"}},
          "y2": {"value": 0}
        }
      }
    },
    {
      "name": "layer_1_layer_1_layer_0_marks",
      "type": "text",
      "style": ["text"],
      "from": {"data": "data_0"},
      "encode": {
        "update": {
          "stroke": [
            {
              "test": "datum[\"date\"] === null || isNaN(datum[\"date\"]) || datum[\"price\"] === null || isNaN(datum[\"price\"])",
              "value": null
            },
            {"value": "white"}
          ],
          "strokeWidth": {"value": 2},
          "align": {"value": "left"},
          "dx": {"value": 5},
          "dy": {"value": -5},
          "tooltip": {
            "signal": "{\"price\": format(datum[\"price\"], \"\"), \"date\": timeFormat(datum[\"date\"], '%b %d, %Y')}"
          },
          "x": {"scale": "x", "field": "date"},
          "y": {"scale": "y", "field": "price"},
          "text": {"signal": "format(datum[\"price\"], \"\")"}
        }
      }
    },
    {
      "name": "layer_1_layer_1_layer_1_marks",
      "type": "text",
      "style": ["text"],
      "from": {"data": "data_0"},
      "encode": {
        "update": {
          "align": {"value": "left"},
          "dx": {"value": 5},
          "dy": {"value": -5},
          "fill": [
            {
              "test": "datum[\"date\"] === null || isNaN(datum[\"date\"]) || datum[\"price\"] === null || isNaN(datum[\"price\"])",
              "value": null
            },
            {"scale": "fill", "field": "symbol"}
          ],
          "tooltip": {
            "signal": "{\"price\": format(datum[\"price\"], \"\"), \"date\": timeFormat(datum[\"date\"], '%b %d, %Y'), \"symbol\": ''+datum[\"symbol\"]}"
          },
          "x": {"scale": "x", "field": "date"},
          "y": {"scale": "y", "field": "price"},
          "text": {"signal": "format(datum[\"price\"], \"\")"}
        }
      }
    }
  ],
  "scales": [
    {
      "name": "x",
      "type": "time",
      "domain": {
        "fields": [
          {"data": "source_0", "field": "date"},
          {"data": "data_0", "field": "date"}
        ]
      },
      "range": [0, {"signal": "width"}]
    },
    {
      "name": "y",
      "type": "linear",
      "domain": {
        "fields": [
          {"data": "source_0", "field": "price"},
          {"data": "data_0", "field": "price"}
        ]
      },
      "range": [{"signal": "height"}, 0],
      "nice": true,
      "zero": true
    },
    {
      "name": "color",
      "type": "ordinal",
      "domain": {"data": "source_0", "field": "symbol", "sort": true},
      "range": "category"
    },
    {
      "name": "fill",
      "type": "ordinal",
      "domain": {"data": "data_0", "field": "symbol", "sort": true},
      "range": "category"
    }
  ],
  "axes": [
    {
      "scale": "x",
      "orient": "bottom",
      "grid": false,
      "title": "date",
      "labelFlush": true,
      "labelOverlap": true,
      "tickCount": {"signal": "ceil(width/40)"},
      "zindex": 1
    },
    {
      "scale": "x",
      "orient": "bottom",
      "gridScale": "y",
      "grid": true,
      "tickCount": {"signal": "ceil(width/40)"},
      "domain": false,
      "labels": false,
      "maxExtent": 0,
      "minExtent": 0,
      "ticks": false,
      "zindex": 0
    },
    {
      "scale": "y",
      "orient": "left",
      "grid": false,
      "title": "price",
      "labelOverlap": true,
      "tickCount": {"signal": "ceil(height/40)"},
      "zindex": 1
    },
    {
      "scale": "y",
      "orient": "left",
      "gridScale": "x",
      "grid": true,
      "tickCount": {"signal": "ceil(height/40)"},
      "domain": false,
      "labels": false,
      "maxExtent": 0,
      "minExtent": 0,
      "ticks": false,
      "zindex": 0
    }
  ],
  "legends": [
    {
      "stroke": "color",
      "gradientLength": {"signal": "clamp(height, 64, 200)"},
      "title": "symbol",
      "encode": {
        "symbols": {
          "update": {"fill": {"value": "transparent"}, "opacity": {"value": 1}}
        }
      }
    },
    {
      "fill": "fill",
      "gradientLength": {"signal": "clamp(height, 64, 200)"},
      "title": "symbol",
      "encode": {"symbols": {"update": {"shape": {"value": "square"}}}}
    }
  ],
  "config": {"axisY": {"minExtent": 30}}
}

[timroes]

Hi, I don't think there is a function vlSelectionTest in Vega? I tried to search the documentation and also the rest of the internet, and I couldn't find any reference (except your post) to this function. What are you expecting that function to do, and could you please point to a specific documentation for that function?

[francisca-lima]

When converting this vega-lite to vega, this function appears in the code.
Example: https://vega.github.io/editor/#/examples/vega-lite/interactive_multi_line_label
Any idea?

[timroes]

Thanks, that helped actually. I searched through Vega source code and it seems that is a newer method. Kibana is not yet up to date with the newest Vega version, thus doesn't support that function right now. I'll be closing this, and refer to #22644 for updating Vega to the most recent version.