Roo-Code/package-manager-template/groups/data-engineering/mcp servers/data-processor/server.js
2025-04-12 09:55:08 -07:00

143 lines
3.2 KiB
JavaScript

const { MCPServer } = require("@modelcontextprotocol/core")
class DataProcessor extends MCPServer {
constructor() {
super({
name: "Data Processor",
description: "Processes and transforms data files",
version: "1.0.0",
capabilities: ["file-processing", "data-transformation"],
})
this.registerHandler("process-file", this.processFile.bind(this))
this.registerHandler("transform-data", this.transformData.bind(this))
}
async processFile(context, params) {
const { filePath, options } = params
// Validate parameters
if (!filePath) {
throw new Error("File path is required")
}
try {
// Read file content
const content = await context.readFile(filePath)
// Process based on file type
const fileType = this.detectFileType(filePath)
const processedData = await this.processContent(content, fileType, options)
return {
success: true,
data: processedData,
metadata: {
fileType,
processedAt: new Date().toISOString(),
rowCount: processedData.length,
},
}
} catch (error) {
return {
success: false,
error: error.message,
}
}
}
async transformData(context, params) {
const { data, transformations } = params
// Validate parameters
if (!data || !transformations) {
throw new Error("Data and transformations are required")
}
try {
let transformedData = data
// Apply each transformation in sequence
for (const transform of transformations) {
transformedData = await this.applyTransformation(transformedData, transform)
}
return {
success: true,
data: transformedData,
metadata: {
transformations: transformations.map((t) => t.type),
transformedAt: new Date().toISOString(),
},
}
} catch (error) {
return {
success: false,
error: error.message,
}
}
}
detectFileType(filePath) {
const extension = filePath.split(".").pop().toLowerCase()
const fileTypes = {
csv: "CSV",
json: "JSON",
xml: "XML",
xlsx: "Excel",
parquet: "Parquet",
}
return fileTypes[extension] || "Unknown"
}
async processContent(content, fileType, options = {}) {
// Implementation would handle different file types
switch (fileType) {
case "CSV":
return this.processCSV(content, options)
case "JSON":
return this.processJSON(content, options)
case "XML":
return this.processXML(content, options)
default:
throw new Error(`Unsupported file type: ${fileType}`)
}
}
async applyTransformation(data, transform) {
// Implementation would handle different transformation types
switch (transform.type) {
case "filter":
return data.filter(transform.condition)
case "map":
return data.map(transform.mapper)
case "aggregate":
return this.aggregate(data, transform.aggregation)
default:
throw new Error(`Unsupported transformation: ${transform.type}`)
}
}
// Helper methods for specific file types
processCSV(content, options) {
// CSV processing implementation
return []
}
processJSON(content, options) {
// JSON processing implementation
return []
}
processXML(content, options) {
// XML processing implementation
return []
}
aggregate(data, aggregation) {
// Aggregation implementation
return {}
}
}
module.exports = new DataProcessor()