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paste-julia.js
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86 lines (75 loc) · 2.48 KB
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const vscode = require("vscode");
const { parseClipboard } = require("./parse-table");
const { addTrailingZeroes, normalizeBool } = require("./utils");
/**
* Parses the clipboard content into a structured table.
*/
async function clipboardToJuliaDataFrame() {
try {
// 1: Read the clipboard content
const clipboardContent = await vscode.env.clipboard.readText();
if (!clipboardContent) {
vscode.window.showErrorMessage(
"Clipboard is empty or contains unsupported content."
);
return;
}
// 2: Try to extract the table from clipboard content
let formattedData = null;
formattedData = parseClipboard(clipboardContent);
// 3: Generate the Julia code for DataFrames.jl
const jlCode = createJuliaDataFrame(formattedData);
if (!jlCode) {
vscode.window.showErrorMessage("Failed to generate Julia code.");
return;
}
// 4: Insert the generated code into the active editor
const editor = vscode.window.activeTextEditor;
if (editor) {
editor.edit((editBuilder) => {
editBuilder.insert(editor.selection.active, jlCode);
});
}
} catch (error) {
vscode.window.showErrorMessage(`Error: ${error.message}`);
}
}
/**
* Generates Julia code for DataFrames.jl
* Creates a DataFrame using column-based construction syntax.
*
* Modified from: https://web-apps.thecoatlessprofessor.com/data/html-table-to-dataframe-tool.html
*
*/
function createJuliaDataFrame(tableData) {
function formatValue(value, colIndex) {
if (value === "") {
return "missing";
} else if (columnTypes[colIndex] === "string") {
return `"${value}"`;
} else if (columnTypes[colIndex] === "numeric") {
return addTrailingZeroes(value);
} else if (columnTypes[colIndex] === "boolean") {
return normalizeBool(value, "julia");
} else if (columnTypes[colIndex] === "integer") {
return value;
} else {
return `"${value}"`;
}
}
const { headers, data, columnTypes } = tableData;
const config = vscode.workspace.getConfiguration("pastum");
const libraryDeclaration = config.get("libraryDeclaration");
let code = libraryDeclaration ? `using DataFrames\n\n` : "";
code += `DataFrame(\n`;
headers.forEach((header, i) => {
const values = data.map((row) => formatValue(row[i], i)).join(", ");
code += ` :${header} => [${values}]${i < headers.length - 1 ? ",\n" : "\n"
}`;
});
code += `)`;
return code;
}
module.exports = {
clipboardToJuliaDataFrame,
};