Jira MCP Toolset

/** * This file analyzes the technical complexity of Jira issues based on keywords found in descriptions * and comments. It searches for technical terms that typically indicate complex implementation requirements, * such as "performance", "scalability", "concurrency", etc. The presence of these indicators helps * assess the technical challenge level of an issue, which contributes to the overall complexity * assessment used for issue prioritization and resource planning. */ import { getComplexityKeywords } from './utils/complexityKeywords' import { findKeywordsInIssue } from './utils/keywordDetection' import { calculateComplexityScore, createComplexityFactor } from './utils/scoringUtils' import type { IssueCommentResponse } from '../../../types/comment' import type { JiraIssue } from '../../../types/issue.types' /** * Analyzes technical complexity indicators in description and comments * * @param issue - The Jira issue to analyze * @param commentsResponse - Comments related to the issue * @returns Score and factor describing technical complexity */ export function analyzeTechnicalComplexity( issue: JiraIssue, commentsResponse: IssueCommentResponse, ): { score: number; factor: string | null } { const complexityKeywords = getComplexityKeywords() const keywordsFound = findKeywordsInIssue(issue, commentsResponse, complexityKeywords) const score = calculateComplexityScore(keywordsFound.length) const factor = createComplexityFactor(keywordsFound) return { score, factor } }