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vchart-mcp-server

by VisActor
wordcloud.ts1.86 kB
import { z } from "zod"; import { convertZodToJsonSchema } from "../utils/schema"; import { BackgroundSchema, ChartOutputSchema, ColorsSchema, HeightSchema, ThemeSchema, TitleOrientSchema, TitleSubTextSchema, TitleTextSchema, WidthSchema, } from "./common"; // Define the schema for the word cloud chart configuration using Zod const schema = z.object({ output: ChartOutputSchema, // Output format/schema for the chart width: WidthSchema, // Chart width height: HeightSchema, // Chart height chartType: z.enum(["wordcloud", "venn"]), dataTable: z .array(z.any()) .describe("Data for the chart, e.g., [{ word: 'TEST', value: 10 }].") .nonempty({ message: "data cannot be empty." }), // Data array must not be empty colorField: z .string() .nonempty({ message: "The field for words or sets cannot be empty." }) .describe( "Specifies the field in the dataset that represents each word (for word clouds) or the set (for Venn diagrams). For Venn diagrams, use a comma-separated string to describe the set. This field must exist in the dataset." ), valueField: z .string() .describe( "Specifies the field representing the metric value. Required for Venn diagrams." ), chartTheme: ThemeSchema, // Chart theme title: TitleTextSchema, // Chart title subTitle: TitleSubTextSchema, // Chart subtitle titleOrient: TitleOrientSchema, // Title orientation background: BackgroundSchema, // Chart background colors: ColorsSchema, // Chart colors }); const tool = { name: "generate_wordcloud_venn", description: "Generate a word cloud to visualize word frequency or importance, or a Venn diagram to show relationships such as intersections and unions between sets.", inputSchema: convertZodToJsonSchema(schema), }; export const wordcloud_venn = { schema, tool, };

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