3f:null 40:["$","title",null,{"children":"Build Vega-Lite Charts | Vega-Lite for Deneb in PowerBI | Observable"}] 46:T858,viewof barChart1 = vegalite({ // Bar chart $schema: "https://vega.github.io/schema/vega-lite/v5.json", // optional vega-lite specification description: "Bar chart with text labels", // chart description (optional) title: "Example Chart", data: { values: chartData // "values: [jsonTable]" ( or in PowerBI - "name: "dataset") }, encoding: { y: { field: "Product", type: "nominal", axis: { // set axis properties title: "Products", titleAlign: null, titleAnchor: null, ticks: true, tickSize: 20, tickBand: "extent", // "centre; extent", tickCap: "square", // "butt", "round" or "square" tickColor: "orange", tickCount: 0, tickDash: [3, 1], tickOffset: 0, format: null, formatType: null, labels: true, labelAlign: null, // {expr: "text"} labelAngle: -0, labelBaseline: { labelExpr: "middle" }, labelBound: false, labelColor: "navy", labelFlush: true, labelFlushOffset: 0, labelFont: "Arial", labelFontSize: 14, labelFontWeight: 1000, labelLineHeight: "line-top", labelLimit: 200, labelOffset: 5, labelOpacity: 0.8, labelOverlap: "greedy", // true; false; parity; greedy labelPadding: 15, labelSeparation: 15 // labelExpr: "datum.label[0]" // expression applied to the label itself } }, // X-axis x: { field: "Sales", type: "quantitative", axis: { labelFontSize: 12 } } // Y-axis }, width: 300, height: 300, layer: [ { mark: { type: "bar" } }, { mark: { type: "text", font: "helvetica", fontSize: 15, align: "left", baseline: "middle", dx: 10 }, encoding: { text: { field: "Sales", type: "quantitative", format: ",.0f" } } } ] /* config: { style: { label: { align: "left", baseline: "middle", dx: 10 } } } */ })47:T8b2,listColours = [ "aliceblue", "antiquewhite", "aqua", "aquamarine", "azure", "beige", "bisque", "black", "blanchedalmond", "blue", "blueviolet", "brown", "burlywood", "cadetblue", "chartreuse", "chocolate", "coral", "cornflowerblue", "cornsilk", "crimson", "cyan", "darkblue", "darkcyan", "darkgoldenrod", "darkgray", "darkgreen", "darkgrey", "darkkhaki", "darkmagenta", "darkolivegreen", "darkorange", "darkorchid", "darkred", "darksalmon", "darkseagreen", "darkslateblue", "darkslategray", "darkslategrey", "darkturquoise", "darkviolet", "deeppink", "deepskyblue", "dimgray", "dimgrey", "dodgerblue", "firebrick", "floralwhite", "forestgreen", "fuchsia", "gainsboro", "ghostwhite", "gold", "goldenrod", "gray", "green", "greenyellow", "grey", "honeydew", "hotpink", "indianred", "indigo", "ivory", "khaki", "lavender", "lavenderblush", "lawngreen", "lemonchiffon", "lightblue", "lightcoral", "lightcyan", "lightgoldenrodyellow", "lightgray", "lightgreen", "lightgrey", "lightpink", "lightsalmon", "lightseagreen", "lightskyblue", "lightslategray", "lightslategrey", "lightsteelblue", "lightyellow", "lime", "limegreen", "linen", "magenta", "maroon", "mediumaquamarine", "mediumblue", "mediumorchid", "mediumpurple", "mediumseagreen", "mediumslateblue", "mediumspringgreen", "mediumturquoise", "mediumvioletred", "midnightblue", "mintcream", "mistyrose", "moccasin", "navajowhite", "navy", "oldlace", "olive", "olivedrab", "orange", "orangered", "orchid", "palegoldenrod", "palegreen", "paleturquoise", "palevioletred", "papayawhip", "peachpuff", "peru", "pink", "plum", "powderblue", "purple", "rebeccapurple", "red", "rosybrown", "royalblue", "saddlebrown", "salmon", "sandybrown", "seagreen", "seashell", "sienna", "silver", "skyblue", "slateblue", "slategray", "slategrey", "snow", "springgreen", "steelblue", "tan", "teal", "thistle", "tomato", "turquoise", "violet", "wheat", "white", "whitesmoke", "yellow", "yellowgreen" ]48:[{"id":"2458580da9b80af6d97af00c548f5ad6d7bab29f03d415c2cab4df15d9768c63c8f663c2872abe0602909b92bdc5ce580ada6166397d87c26231c0f8c1980eb3","href":"https://static.observableusercontent.com/files/2458580da9b80af6d97af00c548f5ad6d7bab29f03d415c2cab4df15d9768c63c8f663c2872abe0602909b92bdc5ce580ada6166397d87c26231c0f8c1980eb3","name":"dummySalesData.csv","type":"text/csv","lastModified":1698505467565.24,"size":4158}] 44:{"id":"a54f5bea24e5f7e0","slug":"build-vega-lite-charts","title":" Build Vega-Lite Charts ","thumbnail":"49e3b8e7b5c25c76853ac31b4ed41e895e2facb91573182f4e68e995d0ccb899","access_level":"public","create_time":"$D2023-10-28T12:29:40.025Z","update_time":"$D2023-10-28T16:24:26.699Z","view_time":null,"first_public_time":"$D2023-10-28T12:29:40.025Z","has_unpublished_edits":null,"fork":{"id":"4c64412ef0575941","slug":"notebook-template","title":" NotebookTitle ","owner":{"id":"8535cc563d5b77a4","login":"pbiqueryous-templates","name":"PQI Queryous 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PowerBI","avatar_url":"https://avatars-next.observableusercontent.com/e29cba4009f63490b2e844f375dbd2fb18aa7b45714b154178fd511fe19c1305","tier":"starter_2024","role":"editor"},{"type":"individual","id":"095ccf69e3466ab9","login":"pbi-queryous","name":"PBI Queryous","avatar_url":"https://avatars-next.observableusercontent.com/0e362e0326315a8b72bf30cfe2bf107a47fb597d0f8798eeb7f6330b2bbb725a","tier":null,"role":"editor"}],"comments":[],"custom_thumbnail":false,"trashed":false,"lapsed":null,"subscribed":null,"forks":0,"collection":{"id":"132c6e647d8c7e1c","slug":"vega-lite-for-powerbi-deneb","title":"Vega-Lite for PowerBI (Deneb)","owner":{"id":"0ed04f365ec32e6d","login":"pbiqueryous","name":"Vega-Lite for Deneb in PowerBI"}},"type":"notebook","body":{"titling":"auto","title":" Build Vega-Lite Charts ","cells":[{"id":0,"value":"# **Build Vega-Lite Charts**
\n _create vega-lite charts for Deneb in PowerBI_","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":11,"value":"md`🧙‍♂️ [GitHub Repos](https://github.com/PBIQueryous) | 🕊️ [Twitter](https://twitter.com/PBIQueryous)`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":5,"value":"---\n","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":59,"value":"contents(\"h1, h2, h3\", \"My Table of Contents\", true)","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":154,"value":"md`\n\n

\n
\n# Dummy Dataset\nLet's take a look at the dummy dataset\n~~~js\n// Here I am definine my data as a JSON array\ndummyData = [\n { Product: \"Tasmanian Tiger Laptop\", Company: \"Falcon Systems\", Sales: 1500 }, // row 1\n { Product: \"Quagga Pro Laptop\", Company: \"Hawk Electronics\", Sales: 2200 }, // row 2\n { Product: \"DodoBook Laptop\", Company: \"Eagle Computing\", Sales: 1800 }, // row 3 etc...\n {\n Product: \"Thylacine Elite Laptop\",\n Company: \"Owl Innovations\",\n Sales: 2700\n },\n { Product: \"Saber-Toothed Tiger PC\", Company: \"Falcon Systems\", Sales: 1300 },\n { Product: \"Megalodon Max PC\", Company: \"Eagle Computing\", Sales: 2100 },\n { Product: \"Dire Wolf Laptop\", Company: \"Hawk Electronics\", Sales: 2400 },\n {\n Product: \"Giant Sloth Pro Laptop\",\n Company: \"Owl Innovations\",\n Sales: 1900\n },\n { Product: \"QuokkaBook Pro Laptop\", Company: \"Owl Innovations\", Sales: 2800 },\n { Product: \"Aurochs Plus PC\", Company: \"Falcon Systems\", Sales: 1400 }\n]\n~~~\n\n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":406,"value":"dummyData = [\n { Product: \"Tasmanian Tiger Laptop\", Company: \"Falcon Systems\", Sales: 1500 }, // row 1\n { Product: \"Quagga Pro Laptop\", Company: \"Hawk Electronics\", Sales: 2200 }, // row 2\n { Product: \"DodoBook Laptop\", Company: \"Eagle Computing\", Sales: 1800 }, // row 3 etc...\n {\n Product: \"Thylacine Elite Laptop\",\n Company: \"Owl Innovations\",\n Sales: 2700\n },\n { Product: \"Saber-Toothed Tiger PC\", Company: \"Falcon Systems\", Sales: 1300 },\n { Product: \"Megalodon Max PC\", Company: \"Eagle Computing\", Sales: 2100 },\n { Product: \"Dire Wolf Laptop\", Company: \"Hawk Electronics\", Sales: 2400 },\n {\n Product: \"Giant Sloth Pro Laptop\",\n Company: \"Owl Innovations\",\n Sales: 1900\n },\n { Product: \"QuokkaBook Pro Laptop\", Company: \"Owl Innovations\", Sales: 2800 },\n { Product: \"Aurochs Plus PC\", Company: \"Falcon Systems\", Sales: 1400 }\n]","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":213,"value":"show(chartData, null, null)","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":229,"value":"showtypes(chartData)","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":264,"value":"Object.keys(chartData[0])","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":210,"value":"chartData = dummyData","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":236,"value":"md`\n

\n## Chart Marks and Encodings\n\n\n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":468,"value":"viewof jsChart = {\n const jsVersion = vl.markPoint().data(chartData);\n return jsVersion.render();\n}","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":250,"value":"md`\n~~~js\n{\n const jsVersion = vl.markPoint().data(chartData);\n return printVega(jsVersion, true);\n}\n~~~\n`","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":466,"value":"vegaPrinted = {\n const jsVersion = vl.markPoint().data(chartData);\n return printVega(jsVersion, false);\n}","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":622,"value":"viewof jsdata = vegaDataViewer(jsChart)","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":295,"value":"### 1. Define Mark\n\nThe first step in any visualisation is to choose the graphical **mark** type.\nThis is the geometric shape that we intend to use to visualise the data.","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":255,"value":"vegalite({\n $schema: \"https://vega.github.io/schema/vega-lite/v5.json\", // optional vega-lite specification\n description: \"Bar chart with text labels\", // chart description (optional)\n data: {\n values: chartData // \"values: [jsonTable]\" ( or in PowerBI - \"name: \"dataset\")\n },\n width: 50,\n height: 50,\n layer: [\n {\n mark: marktypes\n }\n ]\n})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":299,"value":"### 2. Encode Axis\n\nNext, we need to bind or **encode** this **mark** to the chart axis","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":312,"value":"viewof marktypes = Inputs.select(\n [\n \"bar\",\n \"circle\",\n \"square\",\n \"tick\",\n // \"line\",\n // \"area\",\n \"point\"\n // \"geoshape\",\n // \"rule\"\n // \"text\"\n ],\n { multiple: true, label: \"Mark Types\" }\n)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":275,"value":"// Column Chart\nvegalite({\n $schema: \"https://vega.github.io/schema/vega-lite/v5.json\", // optional vega-lite specification\n description: \"Bar chart with text labels\", // chart description (optional)\n data: {\n values: chartData // \"values: [jsonTable]\" ( or in PowerBI - \"name: \"dataset\")\n },\n encoding: {\n x: { field: \"Product\", type: \"nominal\" }, // X-axis\n y: { field: \"Sales\", type: \"quantitative\" } // Y-axis\n },\n width: 300,\n height: 300,\n layer: [\n {\n mark: {\n type: marktypes,\n color: \"navy\",\n size: 50\n }\n }\n ]\n})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":337,"value":"barChart = // Bar chart \nvegalite({\n $schema: \"https://vega.github.io/schema/vega-lite/v5.json\", // optional vega-lite specification\n description: \"Bar chart with text labels\", // chart description (optional)\n data: {\n values: chartData // \"values: [jsonTable]\" ( or in PowerBI - \"name: \"dataset\")\n },\n encoding: {\n y: { field: \"Product\", type: \"nominal\" }, // X-axis\n x: { field: \"Sales\", type: \"quantitative\" } // Y-axis\n },\n width: 300,\n height: 300,\n layer: [\n {\n mark: \"bar\"\n }\n ]\n})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":344,"value":"viewof colours = Inputs.select(listColours, { label: \"List of Colours\" })","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":356,"value":"colourBarChart = vegalite({\n // Bar chart\n $schema: \"https://vega.github.io/schema/vega-lite/v5.json\", // optional vega-lite specification\n description: \"Bar chart with text labels\", // chart description (optional)\n data: {\n values: chartData // \"values: [jsonTable]\" ( or in PowerBI - \"name: \"dataset\")\n },\n encoding: {\n y: { field: \"Product\", type: \"nominal\" }, // X-axis\n x: { field: \"Sales\", type: \"quantitative\" } // Y-axis\n // color: { field: \"Company\", legend: false } // add color legend\n },\n width: 300,\n height: 300,\n layer: [\n {\n mark: {\n type: \"bar\",\n color: colours\n }\n }\n ]\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":418,"value":"### Add data labels","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":421,"value":"$46","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":450,"value":"viewof currentview = vegaDataViewer(barChart1)","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":475,"value":"dummydata = await FileAttachment(\"dummySalesData.csv\").csv({typed: \"auto\"})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"dummydata","database":"$undefined"},{"id":634,"value":"csv_text = \"quarter,population\\nApr-10,100\\nJul-10,110\\nOct-10,150\\nJan-11,90\\nApr-11,120\\nJul-11,130\"","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":632,"value":"newdata = d3.csvParse(csv_text, d3.autoType)","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":21,"value":"

**---**

\n# Appendix","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":54,"value":"#### _datasets_","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":101,"value":"vegaData = require(\"vega-datasets@1\", \"vega-datasets@2\") // import vega_datasets","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":103,"value":"Object.keys(vegaData) // view object names as list","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":107,"value":"exampleDataCars = vegaData[\"cars.json\"]() // load and parse cars data","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":109,"value":"vegaData[\"cars.json\"].url","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":98,"value":"#### external libraries","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":47,"value":"#### _my libraries_","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":56,"value":"import { showMe } from \"@pbiqueryous-repo/show-me\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":42,"value":"import {\n try_it as addNote,\n note as note,\n details as details\n} from \"@pbiqueryous-repo/callout-boxes\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":49,"value":"import { style, selectingCells } from \"@pbiqueryous-repo/keyboard-shortcuts\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":40,"value":"import { vegaDataViewer } from \"@pbiqueryous-repo/vega-data-viewer\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":23,"value":"import {\n toc as contents, // src = import { toc as contents } from \"@jonfroehlich/collapsible-toc\"\n indenttoc as indenttoc,\n fmt as fmt,\n hl as md,\n printVegaJSON as printVega,\n vegalite as vegalite,\n vegaEmbed as vega,\n printTableTypes as showtypes, // src = import { printTableTypes } from \"@jonfroehlich/data-utilities\"\n printTable as show, // src = import { printTable as showtable } from \"@jonfroehlich/data-utilities\"\n note as note\n} from \"@pbiqueryous-repo/tools\"","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":17,"value":"---\n","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":346,"value":"$47","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"}],"files":"$W48","stdlib":"1"}} 45:"$44:body"