chore: run npm run format
This commit is contained in:
@@ -3,58 +3,95 @@
|
||||
* Tool for analyzing task complexity and generating recommendations
|
||||
*/
|
||||
|
||||
import { z } from "zod";
|
||||
import { z } from 'zod';
|
||||
import {
|
||||
handleApiResult,
|
||||
createErrorResponse,
|
||||
getProjectRootFromSession
|
||||
} from "./utils.js";
|
||||
import { analyzeTaskComplexityDirect } from "../core/task-master-core.js";
|
||||
handleApiResult,
|
||||
createErrorResponse,
|
||||
getProjectRootFromSession
|
||||
} from './utils.js';
|
||||
import { analyzeTaskComplexityDirect } from '../core/task-master-core.js';
|
||||
|
||||
/**
|
||||
* Register the analyze tool with the MCP server
|
||||
* @param {Object} server - FastMCP server instance
|
||||
*/
|
||||
export function registerAnalyzeTool(server) {
|
||||
server.addTool({
|
||||
name: "analyze_project_complexity",
|
||||
description: "Analyze task complexity and generate expansion recommendations",
|
||||
parameters: z.object({
|
||||
output: z.string().optional().describe("Output file path for the report (default: scripts/task-complexity-report.json)"),
|
||||
model: z.string().optional().describe("LLM model to use for analysis (defaults to configured model)"),
|
||||
threshold: z.union([z.number(), z.string()]).optional().describe("Minimum complexity score to recommend expansion (1-10) (default: 5)"),
|
||||
file: z.string().optional().describe("Path to the tasks file (default: tasks/tasks.json)"),
|
||||
research: z.boolean().optional().describe("Use Perplexity AI for research-backed complexity analysis"),
|
||||
projectRoot: z.string().optional().describe("Root directory of the project (default: current working directory)")
|
||||
}),
|
||||
execute: async (args, { log, session }) => {
|
||||
try {
|
||||
log.info(`Analyzing task complexity with args: ${JSON.stringify(args)}`);
|
||||
|
||||
let rootFolder = getProjectRootFromSession(session, log);
|
||||
|
||||
if (!rootFolder && args.projectRoot) {
|
||||
rootFolder = args.projectRoot;
|
||||
log.info(`Using project root from args as fallback: ${rootFolder}`);
|
||||
}
|
||||
|
||||
const result = await analyzeTaskComplexityDirect({
|
||||
projectRoot: rootFolder,
|
||||
...args
|
||||
}, log, { session });
|
||||
|
||||
if (result.success) {
|
||||
log.info(`Task complexity analysis complete: ${result.data.message}`);
|
||||
log.info(`Report summary: ${JSON.stringify(result.data.reportSummary)}`);
|
||||
} else {
|
||||
log.error(`Failed to analyze task complexity: ${result.error.message}`);
|
||||
}
|
||||
|
||||
return handleApiResult(result, log, 'Error analyzing task complexity');
|
||||
} catch (error) {
|
||||
log.error(`Error in analyze tool: ${error.message}`);
|
||||
return createErrorResponse(error.message);
|
||||
}
|
||||
},
|
||||
});
|
||||
}
|
||||
server.addTool({
|
||||
name: 'analyze_project_complexity',
|
||||
description:
|
||||
'Analyze task complexity and generate expansion recommendations',
|
||||
parameters: z.object({
|
||||
output: z
|
||||
.string()
|
||||
.optional()
|
||||
.describe(
|
||||
'Output file path for the report (default: scripts/task-complexity-report.json)'
|
||||
),
|
||||
model: z
|
||||
.string()
|
||||
.optional()
|
||||
.describe(
|
||||
'LLM model to use for analysis (defaults to configured model)'
|
||||
),
|
||||
threshold: z
|
||||
.union([z.number(), z.string()])
|
||||
.optional()
|
||||
.describe(
|
||||
'Minimum complexity score to recommend expansion (1-10) (default: 5)'
|
||||
),
|
||||
file: z
|
||||
.string()
|
||||
.optional()
|
||||
.describe('Path to the tasks file (default: tasks/tasks.json)'),
|
||||
research: z
|
||||
.boolean()
|
||||
.optional()
|
||||
.describe('Use Perplexity AI for research-backed complexity analysis'),
|
||||
projectRoot: z
|
||||
.string()
|
||||
.optional()
|
||||
.describe(
|
||||
'Root directory of the project (default: current working directory)'
|
||||
)
|
||||
}),
|
||||
execute: async (args, { log, session }) => {
|
||||
try {
|
||||
log.info(
|
||||
`Analyzing task complexity with args: ${JSON.stringify(args)}`
|
||||
);
|
||||
|
||||
let rootFolder = getProjectRootFromSession(session, log);
|
||||
|
||||
if (!rootFolder && args.projectRoot) {
|
||||
rootFolder = args.projectRoot;
|
||||
log.info(`Using project root from args as fallback: ${rootFolder}`);
|
||||
}
|
||||
|
||||
const result = await analyzeTaskComplexityDirect(
|
||||
{
|
||||
projectRoot: rootFolder,
|
||||
...args
|
||||
},
|
||||
log,
|
||||
{ session }
|
||||
);
|
||||
|
||||
if (result.success) {
|
||||
log.info(`Task complexity analysis complete: ${result.data.message}`);
|
||||
log.info(
|
||||
`Report summary: ${JSON.stringify(result.data.reportSummary)}`
|
||||
);
|
||||
} else {
|
||||
log.error(
|
||||
`Failed to analyze task complexity: ${result.error.message}`
|
||||
);
|
||||
}
|
||||
|
||||
return handleApiResult(result, log, 'Error analyzing task complexity');
|
||||
} catch (error) {
|
||||
log.error(`Error in analyze tool: ${error.message}`);
|
||||
return createErrorResponse(error.message);
|
||||
}
|
||||
}
|
||||
});
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user