Jira MCP Toolset

/** * Timeline risk analysis for Jira issues * * This file provides functionality to identify timeline-related risks in Jira issues, * such as tight deadlines, sprint boundary issues, and unrealistic estimations. */ import { processDurationData } from './helpers/processDurationData' import { processTimelineConstraintIndicators, processEstimationConcernIndicators, } from './helpers/timelineTextAnalysisHelpers' import { TIMELINE_PATTERNS, ESTIMATION_PATTERNS } from './patterns/timelineRiskPatterns' import { detectRiskIndicators } from './utils/detectRiskIndicators' import type { PreviousAnalysisResults, RiskCategoryResult } from './types/riskIdentification.types' import type { IssueCommentResponse } from '../../../types/comment' import type { JiraIssue } from '../../../types/issue.types' /** * Analyzes an issue for timeline-related risks * * @param issue - The Jira issue to analyze * @param commentsResponse - Comments related to the issue * @param previousResults - Previous analysis results if available * @returns Risk category result with score and identified risk items */ export function analyzeTimelineRisk( issue: JiraIssue, commentsResponse: IssueCommentResponse, previousResults?: PreviousAnalysisResults, ): RiskCategoryResult { // Get all relevant text const descriptionText = issue.fields.description || '' const commentsText = commentsResponse.comments.map((comment) => comment.body || '').join(' ') const allText = `${descriptionText} ${commentsText}` // Default results const riskItems: string[] = [] const mitigationSuggestions: string[] = [] let score = 1 // Base risk score // Check for timeline risk indicators in text const timelineResult = detectRiskIndicators(allText, TIMELINE_PATTERNS, 'Timeline Risk') // Check for estimation risk indicators in text const estimationResult = detectRiskIndicators(allText, ESTIMATION_PATTERNS, 'Estimation Risk') // Process timeline constraint indicators score += processTimelineConstraintIndicators(timelineResult, riskItems, mitigationSuggestions) // Process estimation concern indicators score += processEstimationConcernIndicators(estimationResult, riskItems, mitigationSuggestions) // Process previous duration assessment data if available if (previousResults?.duration) { score += processDurationData(previousResults.duration, riskItems, mitigationSuggestions) } // Ensure score is within 1-10 range score = Math.min(10, Math.max(1, score)) return { score: Math.round(score), riskItems, mitigationSuggestions: [...new Set(mitigationSuggestions)], // Remove duplicates } }