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// SPDX-License-Identifier: Apache-2.0
/**
* @module Generators/Pipeline/AnalysisStage
* @description Analysis-first pre-generation pipeline stage.
*
* Executes between the Fetch and Generate stages, consuming already-fetched
* European Parliament data and running the full suite of political intelligence
* analysis methods. Produces structured markdown analysis files that article
* generation strategies then consume to produce higher-quality, deeply-analysed
* news articles in all 14 languages.
*
* This stage is **side-effect-only**: it writes analysis markdown and a
* `manifest.json` to disk under `analysis-output/{date}/`. The returned
* {@link AnalysisContext} is informational and currently not consumed by the
* generate stage; strategies read the analysis output from disk instead.
* Analysis artifacts are committed to the repository for review and
* political intelligence improvement.
*
* Analysis methods are grouped into four categories:
* - **Classification** (Issues #804): significance, impact-matrix, actor-mapping, forces
* - **Threat Assessment** (Issues #805): political-stride, actor-threat, consequence-trees, disruption
* - **Risk Scoring** (Issues #806): risk-matrix, capital-risk, quantitative-swot, velocity-risk, agent-workflow
* - **Existing** (current codebase): deep-analysis, stakeholder-analysis, coalition-analysis, voting-patterns, cross-session-intelligence
*
* Each method writes a markdown file; failures are isolated so other methods
* can continue. A {@link AnalysisManifest} JSON file is written at the end.
*
* @example
* ```ts
* const ctx = await runAnalysisStage(fetchedData, {
* articleTypes: [ArticleCategory.WEEK_AHEAD],
* date: '2026-03-26',
* outputDir: 'analysis-output',
* });
* console.log(ctx.completedMethods);
* ```
*/
import fs from 'fs';
import path from 'path';
import { randomUUID } from 'crypto';
import { ArticleCategory } from '../../types/index.js';
import type { ConfidenceLevel } from '../../types/index.js';
import type { ClassificationInput } from '../../types/political-classification.js';
import type { ThreatAssessmentInput } from '../../types/political-threats.js';
import {
detectVotingTrends,
computeCrossSessionCoalitionStability,
buildDefaultStakeholderPerspectives,
buildStakeholderOutcomeMatrix,
} from '../../utils/intelligence-analysis.js';
import {
assessPoliticalSignificance,
buildImpactMatrix,
classifyPoliticalActors,
analyzePoliticalForces,
} from '../../utils/political-classification.js';
import {
assessPoliticalThreats,
buildActorThreatProfiles,
buildConsequenceTree,
analyzeLegislativeDisruption,
generateThreatAssessmentMarkdown,
} from '../../utils/political-threat-assessment.js';
import {
assessLegislativeVelocityRisk,
runAgentRiskAssessment,
generateRiskAssessmentMarkdown,
calculatePoliticalRiskScore,
assessPoliticalCapitalAtRisk,
buildQuantitativeSWOT,
createScoredSWOTItem,
createScoredOpportunityOrThreat,
createRiskDriver,
} from '../../utils/political-risk-assessment.js';
import { ensureDirectoryExists, atomicWrite } from '../../utils/file-utils.js';
// ─── Markdown constants ───────────────────────────────────────────────────────
/** Empty table row placeholder for 6-column tables */
const EMPTY_TABLE_ROW_6 = '| — | — | — | — | — | — |';
// ─── Sanitization helpers ─────────────────────────────────────────────────────
/**
* Sanitize untrusted text for safe use in a Markdown table cell.
*
* Escapes pipe characters, backslashes, and HTML entities, then normalizes
* whitespace to prevent table layout corruption from external MCP data.
*
* @param input - Untrusted cell text
* @returns Sanitized text safe for Markdown table cells
*/
function sanitizeCell(input: string): string {
return input
.replace(/\\/g, '\\\\')
.replace(/\|/g, '\\|')
.replace(/&/g, '&')
.replace(/</g, '<')
.replace(/>/g, '>')
.replace(/[\r\n]+/g, ' ')
.trim();
}
// ─── Data coercion helpers ────────────────────────────────────────────────────
/**
* Safely extract an array from fetchedData by key.
* @param data - Raw fetched data record
* @param key - Key to extract
* @returns Array or empty array if missing/invalid
*/
function safeArr(data: Record<string, unknown>, key: string): readonly unknown[] {
const val = data[key]; // eslint-disable-line security/detect-object-injection -- key is a literal string from caller
return Array.isArray(val) ? val : [];
}
/**
* Cast fetchedData to ClassificationInput for the classification functions.
* @param data - Raw fetched data record
* @returns ClassificationInput-compatible object
*/
function toClassificationInput(data: Record<string, unknown>): ClassificationInput {
return data as ClassificationInput;
}
/**
* Cast fetchedData to ThreatAssessmentInput for the threat assessment functions.
* @param data - Raw fetched data record
* @returns ThreatAssessmentInput-compatible object
*/
function toThreatInput(data: Record<string, unknown>): ThreatAssessmentInput {
return {
votingRecords: safeArr(data, 'votingRecords'),
coalitionData: safeArr(data, 'coalitions'),
mepInfluence: safeArr(data, 'mepUpdates'),
procedures: safeArr(data, 'procedures'),
anomalies: safeArr(data, 'anomalies'),
questions: safeArr(data, 'questions'),
};
}
// ─── Analysis Method type ─────────────────────────────────────────────────────
/**
* All analysis methods supported by the analysis pipeline stage.
*
* Methods prefixed with a group label:
* - Classification (#804): significance-classification, impact-matrix, actor-mapping, forces-analysis
* - Threat Assessment (#805): political-stride, actor-threat-profiling, consequence-trees, legislative-disruption
* - Risk Scoring (#806): risk-matrix, political-capital-risk, quantitative-swot, legislative-velocity-risk, agent-risk-workflow
* - Existing: deep-analysis, stakeholder-analysis, coalition-analysis, voting-patterns, cross-session-intelligence
*/
export type AnalysisMethod =
// Classification (Issue #804)
| 'significance-classification'
| 'impact-matrix'
| 'actor-mapping'
| 'forces-analysis'
// Threat Assessment (Issue #805)
| 'political-stride'
| 'actor-threat-profiling'
| 'consequence-trees'
| 'legislative-disruption'
// Risk Scoring (Issue #806)
| 'risk-matrix'
| 'political-capital-risk'
| 'quantitative-swot'
| 'legislative-velocity-risk'
| 'agent-risk-workflow'
// Existing analysis methods
| 'deep-analysis'
| 'stakeholder-analysis'
| 'coalition-analysis'
| 'voting-patterns'
| 'cross-session-intelligence';
/** All analysis methods in default execution order */
export const ALL_ANALYSIS_METHODS: readonly AnalysisMethod[] = [
// Classification
'significance-classification',
'impact-matrix',
'actor-mapping',
'forces-analysis',
// Threat Assessment
'political-stride',
'actor-threat-profiling',
'consequence-trees',
'legislative-disruption',
// Risk Scoring
'risk-matrix',
'political-capital-risk',
'quantitative-swot',
'legislative-velocity-risk',
'agent-risk-workflow',
// Existing
'deep-analysis',
'stakeholder-analysis',
'coalition-analysis',
'voting-patterns',
'cross-session-intelligence',
] as const;
// ─── Interfaces ───────────────────────────────────────────────────────────────
/** Configuration for the analysis pipeline stage */
export interface AnalysisStageOptions {
/** Article categories to analyse */
readonly articleTypes: readonly ArticleCategory[];
/** ISO date string (YYYY-MM-DD) for this analysis run */
readonly date: string;
/** Base output directory (e.g. 'analysis-output') */
readonly outputDir: string;
/** Which methods to run; defaults to {@link ALL_ANALYSIS_METHODS} */
readonly enabledMethods?: readonly AnalysisMethod[];
/** When true, skip already-completed methods from a prior run on the same date */
readonly skipCompleted?: boolean;
/** Emit verbose progress messages to stdout */
readonly verbose?: boolean;
}
/** Status record written into the manifest for each method */
export interface AnalysisMethodStatus {
/** The analysis method */
readonly method: AnalysisMethod;
/** Whether the method completed, was skipped, or failed */
readonly status: 'completed' | 'skipped' | 'failed';
/** Path to the markdown output file */
readonly outputFile: string;
/** Confidence level of the result */
readonly confidence: ConfidenceLevel;
/** Wall-clock duration in milliseconds */
readonly duration: number;
/** One-line human-readable summary */
readonly summary: string;
}
/** Metadata record written to manifest.json for each analysis run */
export interface AnalysisManifest {
/** Unique identifier for this analysis run */
readonly runId: string;
/** ISO date of the analysis */
readonly date: string;
/** ISO 8601 start timestamp */
readonly startTime: string;
/** ISO 8601 end timestamp */
readonly endTime: string;
/** Article types included in this run */
readonly articleTypes: readonly ArticleCategory[];
/** Per-method status entries */
readonly methods: readonly AnalysisMethodStatus[];
/** Aggregated confidence across all completed methods */
readonly overallConfidence: ConfidenceLevel;
/** Data source identifiers used during the run */
readonly dataSourcesUsed: readonly string[];
}
/** Result context passed from the analysis stage to article generation strategies */
export interface AnalysisContext {
/** ISO date of the analysis */
readonly date: string;
/** Absolute path to the date-scoped output directory */
readonly outputDir: string;
/** Methods that completed successfully or were skipped */
readonly completedMethods: readonly AnalysisMethod[];
/** Detailed results keyed by method */
readonly results: ReadonlyMap<AnalysisMethod, AnalysisMethodStatus>;
/** Manifest written to disk */
readonly manifest: AnalysisManifest;
}
// ─── Internal helpers ─────────────────────────────────────────────────────────
/**
* Determine the aggregated confidence level from a set of individual results.
*
* @param results - Method results to aggregate
* @returns Aggregated confidence level
*/
function aggregateConfidence(results: AnalysisMethodStatus[]): ConfidenceLevel {
const counts = { high: 0, medium: 0, low: 0 };
for (const r of results) {
if (r.status === 'completed' || r.status === 'skipped') {
counts[r.confidence]++;
}
}
const total = counts.high + counts.medium + counts.low;
if (total === 0) {
return 'low';
}
if (counts.high >= counts.medium && counts.high >= counts.low) return 'high';
if (counts.medium >= counts.low) return 'medium';
return 'low';
}
/**
* Build a YAML-frontmatter header block for analysis markdown files.
*
* @param method - Analysis method identifier
* @param date - ISO date of the analysis
* @param confidence - Confidence level for this result
* @returns Markdown frontmatter string
*/
function buildMarkdownHeader(
method: AnalysisMethod,
date: string,
confidence: ConfidenceLevel
): string {
return `---
method: ${method}
date: ${date}
confidence: ${confidence}
generated: ${new Date().toISOString()}
---
`;
}
/**
* Write a text file to disk.
*
* Used for both analysis markdown files and the analysis `manifest.json`.
*
* @param filePath - Absolute file path
* @param content - File content as a UTF-8 string
*/
function writeTextFile(filePath: string, content: string): void {
atomicWrite(filePath, content);
}
/**
* Check whether a method's output file already exists (for incremental runs).
*
* @param filePath - Absolute file path
* @returns true when the file exists and is non-empty
*/
function methodOutputExists(filePath: string): boolean {
try {
return fs.existsSync(filePath) && fs.statSync(filePath).size > 0;
} catch {
return false;
}
}
// ─── Per-method markdown builders ────────────────────────────────────────────
/**
* Build markdown for the significance classification method.
* Scores and ranks legislative items by political significance.
*
* @param fetchedData - Raw fetched EP data
* @param date - Analysis date
* @returns Markdown content string
*/
function buildSignificanceClassificationMarkdown(
fetchedData: Record<string, unknown>,
date: string
): string {
const input = toClassificationInput(fetchedData);
const significance = assessPoliticalSignificance(input);
const events = safeArr(fetchedData, 'events');
const docs = safeArr(fetchedData, 'documents');
const header = buildMarkdownHeader(
'significance-classification',
date,
significance === 'routine' ? 'medium' : 'high'
);
return (
header +
`# Political Significance Classification
## Overall Significance: **${significance.toUpperCase()}**
## Overview
Analysis of political significance across ${events.length} events and ${docs.length} documents.
## Classification Framework
| Level | Criteria | Items |
|-------|----------|-------|
| Historic | Constitutional changes, treaty amendments | — |
| Critical | Major legislative votes, treaty changes | — |
| Significant | Key committee decisions, important resolutions | — |
| Notable | Procedural votes, routine legislation | — |
| Routine | Administrative matters | — |
## Significance Assessment
- **Computed significance**: ${significance}
- **Data points analysed**: ${events.length + docs.length}
- **Date**: ${date}
- **Method**: Political significance scoring via 5-signal model (volume, controversy, pipeline, anomalies, coalition)
## Key Findings
${events.length === 0 && docs.length === 0 ? '- No data available for significance assessment' : `- ${events.length} events and ${docs.length} documents assessed\n- Overall political significance: **${significance}**`}
`
);
}
/**
* Build markdown for the impact matrix method.
*
* @param fetchedData - Raw fetched EP data
* @param date - Analysis date
* @returns Markdown content string
*/
function buildImpactMatrixMarkdown(fetchedData: Record<string, unknown>, date: string): string {
const input = toClassificationInput(fetchedData);
const matrix = buildImpactMatrix(input);
const header = buildMarkdownHeader('impact-matrix', date, 'medium');
return (
header +
`# Political Impact Matrix
## Overall Significance: **${matrix.overallSignificance.toUpperCase()}**
## Impact Dimensions
| Dimension | Level | Description |
|-----------|-------|-------------|
| Legislative | ${matrix.legislativeImpact} | Effect on legislation and regulatory framework |
| Coalition | ${matrix.coalitionImpact} | Effect on political alliances and group dynamics |
| Public Opinion | ${matrix.publicOpinionImpact} | Effect on citizen perception and media coverage |
| Institutional | ${matrix.institutionalImpact} | Effect on EU institutional balance |
| Economic | ${matrix.economicImpact} | Economic policy implications |
## Assessment Summary
- **Overall significance**: ${matrix.overallSignificance}
- **Date**: ${date}
- **Method**: Multi-dimensional impact assessment (5 axes)
`
);
}
/**
* Build markdown for the actor mapping method.
*
* @param fetchedData - Raw fetched EP data
* @param date - Analysis date
* @returns Markdown content string
*/
function buildActorMappingMarkdown(fetchedData: Record<string, unknown>, date: string): string {
const input = toClassificationInput(fetchedData);
const actors = classifyPoliticalActors(input);
const header = buildMarkdownHeader('actor-mapping', date, actors.length > 0 ? 'medium' : 'low');
const actorRows =
actors.length > 0
? actors
.map(
(a) =>
`| ${sanitizeCell(a.name)} | ${sanitizeCell(a.actorType)} | ${sanitizeCell(String(a.influence))} | ${sanitizeCell(a.position)} | ${sanitizeCell(a.role)} |`
)
.join('\n')
: '| — | — | — | — | — |';
return (
header +
`# Political Actor Mapping
## Overview
Identified ${actors.length} political actors from parliamentary data.
## Actor Classification
| Actor | Type | Influence | Position | Role |
|-------|------|-----------|----------|------|
${actorRows}
## Actor Type Distribution
${
actors.length > 0
? [...new Set(actors.map((a) => a.actorType))]
.map((t) => `- **${t}**: ${actors.filter((a) => a.actorType === t).length} actors`)
.join('\n')
: '- No actors classified'
}
## Date: ${date}
`
);
}
/**
* Build markdown for the political forces analysis method.
*
* @param fetchedData - Raw fetched EP data
* @param date - Analysis date
* @returns Markdown content string
*/
function buildForcesAnalysisMarkdown(fetchedData: Record<string, unknown>, date: string): string {
const input = toClassificationInput(fetchedData);
const forces = analyzePoliticalForces(input);
const header = buildMarkdownHeader('forces-analysis', date, 'medium');
const forceRow = (
name: string,
f: { strength: number; trend: string; keyActors: readonly string[]; confidence: string }
) =>
`| ${name} | ${f.trend} | ${(f.strength * 100).toFixed(0)}% | ${f.keyActors.length > 0 ? f.keyActors.join(', ') : '—'} | ${f.confidence} |`;
return (
header +
`# Political Forces Analysis
## Overview
Analysis of competing political forces shaping the current legislative agenda.
## Political Forces Assessment
| Force | Trend | Strength | Key Actors | Confidence |
|-------|-------|----------|------------|------------|
${forceRow('Coalition Power', forces.coalitionPower)}
${forceRow('Opposition Power', forces.oppositionPower)}
${forceRow('Institutional Barriers', forces.institutionalBarriers)}
${forceRow('Public Pressure', forces.publicPressure)}
${forceRow('External Influences', forces.externalInfluences)}
## Date: ${date}
`
);
}
/**
* Build markdown for the political STRIDE threat assessment.
*
* Uses the pipeline `date` parameter to ensure the assessment date in the
* generated markdown matches the `analysis-output/{date}/` folder, overriding
* the `new Date()` timestamp that `assessPoliticalThreats()` stamps internally.
*
* @param fetchedData - Raw fetched EP data
* @param date - Analysis date (used to override assessment date for consistency)
* @returns Markdown content string
*/
function buildPoliticalStrideMarkdown(fetchedData: Record<string, unknown>, date: string): string {
const input = toThreatInput(fetchedData);
const assessment = assessPoliticalThreats(input);
return generateThreatAssessmentMarkdown({ ...assessment, date });
}
/**
* Build markdown for actor threat profiling.
*
* @param fetchedData - Raw fetched EP data
* @param date - Analysis date
* @returns Markdown content string
*/
function buildActorThreatProfilingMarkdown(
fetchedData: Record<string, unknown>,
date: string
): string {
const input = toThreatInput(fetchedData);
const profiles = buildActorThreatProfiles(input);
const header = buildMarkdownHeader(
'actor-threat-profiling',
date,
profiles.length > 0 ? 'medium' : 'low'
);
const profileRows =
profiles.length > 0
? profiles
.map(
(p) =>
`| ${p.actor} | ${p.actorType} | ${p.capability} | ${p.motivation} | ${p.opportunity} | ${p.overallThreatLevel} |`
)
.join('\n')
: EMPTY_TABLE_ROW_6;
return (
header +
`# Actor Threat Profiles
## Overview
Individual threat profiles for ${profiles.length} political actors.
## Actor Threat Matrix
| Actor | Type | Capability | Motivation | Opportunity | Threat Level |
|-------|------|------------|------------|-------------|--------------|
${profileRows}
## Date: ${date}
`
);
}
/**
* Build markdown for consequence tree analysis.
*
* @param fetchedData - Raw fetched EP data
* @param date - Analysis date
* @returns Markdown content string
*/
function buildConsequenceTreesMarkdown(fetchedData: Record<string, unknown>, date: string): string {
const input = toThreatInput(fetchedData);
const procedures = safeArr(fetchedData, 'procedures');
const header = buildMarkdownHeader('consequence-trees', date, 'medium');
const trees: string[] = [];
for (const raw of procedures.slice(0, 5)) {
const proc = raw && typeof raw === 'object' ? (raw as Record<string, unknown>) : null;
const title = proc ? String(proc['title'] ?? '') : '';
Iif (!title) continue;
const tree = buildConsequenceTree(title, input);
trees.push(
`### ${title}\n` +
`- **Immediate**: ${tree.immediateConsequences.map((c) => c.description).join('; ') || 'No immediate consequences identified'}\n` +
`- **Secondary**: ${tree.secondaryEffects.map((c) => c.description).join('; ') || 'No secondary effects identified'}\n` +
`- **Long-term**: ${tree.longTermImplications.map((c) => c.description).join('; ') || 'No long-term implications identified'}\n` +
`- **Mitigating factors**: ${tree.mitigatingFactors.join(', ') || '—'}\n` +
`- **Amplifying factors**: ${tree.amplifyingFactors.join(', ') || '—'}`
);
}
return (
header +
`# Consequence Tree Analysis
## Overview
Structured analysis of action-consequence chains for ${Math.min(procedures.length, 5)} legislative procedures.
${trees.length > 0 ? trees.join('\n\n') : '## No procedures available for consequence analysis'}
## Date: ${date}
`
);
}
/**
* Build markdown for legislative disruption analysis.
*
* @param fetchedData - Raw fetched EP data
* @param date - Analysis date
* @returns Markdown content string
*/
function buildLegislativeDisruptionMarkdown(
fetchedData: Record<string, unknown>,
date: string
): string {
const input = toThreatInput(fetchedData);
const procedures = safeArr(fetchedData, 'procedures');
const header = buildMarkdownHeader('legislative-disruption', date, 'medium');
const disruptions: string[] = [];
for (const raw of procedures.slice(0, 5)) {
const proc = raw && typeof raw === 'object' ? (raw as Record<string, unknown>) : null;
const id = proc ? String(proc['procedureId'] ?? proc['id'] ?? '') : '';
const title = proc ? String(proc['title'] ?? '') : '';
Iif (!id || !title) continue;
const analysis = analyzeLegislativeDisruption(id, input);
const disruptionCount = analysis.disruptionPoints.length;
disruptions.push(
`| ${sanitizeCell(id)} | ${sanitizeCell(title.slice(0, 50))} | ${sanitizeCell(analysis.currentStage)} | ${sanitizeCell(analysis.resilience)} | ${disruptionCount} |`
);
}
return (
header +
`# Legislative Disruption Analysis
## Overview
Identification of factors disrupting the normal legislative process.
## Disruption Assessment
| Procedure ID | Title | Stage | Resilience | Disruption Points |
|-------------|-------|-------|-----------|-------------------|
${disruptions.length > 0 ? disruptions.join('\n') : '| — | — | — | — | — |'}
## Date: ${date}
`
);
}
/**
* Build markdown for the risk scoring matrix.
*
* @param fetchedData - Raw fetched EP data
* @param date - Analysis date
* @returns Markdown content string
*/
function buildRiskMatrixMarkdown(fetchedData: Record<string, unknown>, date: string): string {
const procedures = safeArr(fetchedData, 'procedures');
const risks: Array<{
riskId: string;
description: string;
riskScore: number;
riskLevel: string;
likelihood: string;
impact: string;
}> = [];
// Generate risk scores for identifiable political risks from data
if (procedures.length > 0) {
risks.push(
calculatePoliticalRiskScore(
'possible',
'moderate',
'RISK-001',
'Legislative blockage risk from procedure backlog',
[`${procedures.length} procedures in pipeline`],
['Established committee procedures'],
'medium'
)
);
}
const coalitions = safeArr(fetchedData, 'coalitions');
if (coalitions.length > 0) {
risks.push(
calculatePoliticalRiskScore(
'unlikely',
'major',
'RISK-002',
'Coalition instability risk',
[`${coalitions.length} coalition data points`],
['Established political group structures'],
'medium'
)
);
}
const anomalies = safeArr(fetchedData, 'anomalies');
if (anomalies.length > 0) {
risks.push(
calculatePoliticalRiskScore(
'possible',
'moderate',
'RISK-003',
'Voting pattern anomaly risk',
[`${anomalies.length} anomalies detected`],
[],
'medium'
)
);
}
const header = buildMarkdownHeader('risk-matrix', date, risks.length > 0 ? 'medium' : 'low');
const riskRows =
risks.length > 0
? risks
.map(
(r) =>
`| ${r.riskId} | ${r.description} | ${r.likelihood} | ${r.impact} | ${r.riskScore} | ${r.riskLevel} |`
)
.join('\n')
: EMPTY_TABLE_ROW_6;
return (
header +
`# Political Risk Scoring Matrix
## Overview
Quantitative risk scoring across ${risks.length} identified political dimensions.
## Risk Matrix
| Risk ID | Description | Likelihood | Impact | Score | Level |
|---------|-------------|------------|--------|-------|-------|
${riskRows}
> Risk Score = Likelihood × Impact. Levels: LOW (≤1.0), MEDIUM (≤2.0), HIGH (≤3.5), CRITICAL (>3.5)
## Date: ${date}
`
);
}
/**
* Build markdown for political capital at risk analysis.
*
* @param _fetchedData - Raw fetched EP data
* @param date - Analysis date
* @returns Markdown content string
*/
function buildPoliticalCapitalRiskMarkdown(
_fetchedData: Record<string, unknown>,
date: string
): string {
const header = buildMarkdownHeader('political-capital-risk', date, 'medium');
const groups = ['EPP', 'S&D', 'Renew', 'Greens/EFA', 'ECR', 'ID', 'The Left'];
const capitalAssessments = groups.map((g) => {
const drivers = [
createRiskDriver(`Legislative activity for ${g}`, 'internal_dissent', 10, 'stable'),
];
return assessPoliticalCapitalAtRisk(g, 'political_group', 70, drivers, 'quarter', 95);
});
const rows = capitalAssessments
.map(
(a) =>
`| ${a.actor} | ${a.currentCapital} | ${a.capitalAtRisk.toFixed(1)} | ${a.timeHorizon} | ${a.riskDrivers.length} drivers |`
)
.join('\n');
return (
header +
`# Political Capital at Risk
## Overview
Assessment of political capital at stake for major political groups (${date}).
## Capital at Risk by Political Group
| Actor/Group | Capital (0-100) | At Risk | Time Horizon | Risk Drivers |
|-------------|----------------|---------|--------------|--------------|
${rows}
## Date: ${date}
`
);
}
/**
* Build markdown for the quantitative SWOT analysis.
*
* @param fetchedData - Raw fetched EP data
* @param date - Analysis date
* @returns Markdown content string
*/
function buildQuantitativeSwotMarkdown(fetchedData: Record<string, unknown>, date: string): string {
const header = buildMarkdownHeader('quantitative-swot', date, 'medium');
const events = safeArr(fetchedData, 'events');
const procedures = safeArr(fetchedData, 'procedures');
const strengths = [
createScoredSWOTItem(
'Established democratic institutions and procedures',
4,
['Treaty-based institutional framework'],
'high',
'stable'
),
createScoredSWOTItem(
`Active legislative pipeline with ${procedures.length} procedures`,
Math.min(procedures.length / 5, 5),
[`${procedures.length} procedures tracked`],
'medium',
'stable'
),
];
const weaknesses = [
createScoredSWOTItem(
'Complex multi-stakeholder decision-making',
3,
['27 member states, 7 political groups'],
'high',
'stable'
),
];
const opportunities = [
createScoredOpportunityOrThreat(
`${events.length} upcoming parliamentary events`,
'likely',
'moderate',
[`${events.length} events scheduled`],
'medium',
'stable'
),
];
const threats = [
createScoredOpportunityOrThreat(
'External geopolitical pressures',
'possible',
'major',
['Global political dynamics'],
'medium',
'stable'
),
];
const swot = buildQuantitativeSWOT(
`Political SWOT Assessment ${date}`,
strengths,
weaknesses,
opportunities,
threats
);
return (
header +
`# Quantitative SWOT Analysis
## Strategic Position Score: ${swot.strategicPositionScore.toFixed(1)}/10
## Assessment: ${swot.overallAssessment}
## SWOT Matrix
| Category | Items | Avg Score | Trend |
|----------|-------|-----------|-------|
| Strengths | ${swot.strengths.length} | ${swot.strengths.length > 0 ? (swot.strengths.reduce((s, i) => s + i.score, 0) / swot.strengths.length).toFixed(1) : '—'} | ${swot.strengths[0]?.trend ?? '—'} |
| Weaknesses | ${swot.weaknesses.length} | ${swot.weaknesses.length > 0 ? (swot.weaknesses.reduce((s, i) => s + i.score, 0) / swot.weaknesses.length).toFixed(1) : '—'} | ${swot.weaknesses[0]?.trend ?? '—'} |
| Opportunities | ${swot.opportunities.length} | ${swot.opportunities.length > 0 ? (swot.opportunities.reduce((s, i) => s + i.score, 0) / swot.opportunities.length).toFixed(1) : '—'} | ${swot.opportunities[0]?.trend ?? '—'} |
| Threats | ${swot.threats.length} | ${swot.threats.length > 0 ? (swot.threats.reduce((s, i) => s + i.score, 0) / swot.threats.length).toFixed(1) : '—'} | ${swot.threats[0]?.trend ?? '—'} |
## Cross-Impact Matrix
${
swot.crossImpactMatrix.length > 0
? swot.crossImpactMatrix
.slice(0, 5)
.map((e) => `- ${e.rationale} (net effect: ${e.netEffect.toFixed(2)})`)
.join('\n')
: '- No cross-impacts identified'
}
## Date: ${date}
`
);
}
/**
* Build markdown for legislative velocity risk analysis.
*
* @param fetchedData - Raw fetched EP data
* @param date - Analysis date
* @returns Markdown content string
*/
function buildLegislativeVelocityRiskMarkdown(
fetchedData: Record<string, unknown>,
date: string
): string {
const procedures = safeArr(fetchedData, 'procedures');
const velocityRisks = assessLegislativeVelocityRisk(procedures);
const header = buildMarkdownHeader(
'legislative-velocity-risk',
date,
velocityRisks.length > 0 ? 'medium' : 'low'
);
const riskRows =
velocityRisks.length > 0
? velocityRisks
.slice(0, 10)
.map(
(r) =>
`| ${sanitizeCell(r.procedureId)} | ${sanitizeCell(r.title.slice(0, 40))} | ${sanitizeCell(r.currentStage)} | ${r.daysInCurrentStage}d / ${r.expectedDaysForStage}d | ${r.velocityRisk.riskScore.toFixed(2)} | ${sanitizeCell(r.velocityRisk.riskLevel)} |`
)
.join('\n')
: EMPTY_TABLE_ROW_6;
return (
header +
`# Legislative Velocity Risk
## Overview
Risk assessment based on legislative processing speed for ${procedures.length} procedures.
## Top Velocity Risks
| Procedure | Title | Stage | Days (actual/expected) | Risk Score | Level |
|-----------|-------|-------|----------------------|------------|-------|
${riskRows}
## Summary
- **Procedures analysed**: ${procedures.length}
- **High/Critical risks**: ${velocityRisks.filter((r) => r.velocityRisk.riskLevel === 'high' || r.velocityRisk.riskLevel === 'critical').length}
- **Date**: ${date}
`
);
}
/**
* Build markdown for the agent risk assessment workflow.
*
* @param fetchedData - Raw fetched EP data
* @param date - Analysis date
* @returns Markdown content string
*/
function buildAgentRiskWorkflowMarkdown(
fetchedData: Record<string, unknown>,
date: string
): string {
const procedures = safeArr(fetchedData, 'procedures');
const coalitions = safeArr(fetchedData, 'coalitions');
// Build identified risks
const identifiedRisks = [];
if (procedures.length > 0) {
identifiedRisks.push(
calculatePoliticalRiskScore(
'possible',
'moderate',
'RISK-W01',
'Legislative backlog risk',
[`${procedures.length} active procedures`],
['Committee oversight'],
'medium'
)
);
}
if (coalitions.length > 0) {
identifiedRisks.push(
calculatePoliticalRiskScore(
'unlikely',
'moderate',
'RISK-W02',
'Coalition cohesion risk',
[`${coalitions.length} coalitions monitored`],
['Group discipline mechanisms'],
'medium'
)
);
}
if (identifiedRisks.length === 0) {
identifiedRisks.push(
calculatePoliticalRiskScore(
'rare',
'minor',
'RISK-W00',
'Baseline political risk',
['Routine parliamentary activity'],
['Stable institutional framework'],
'low'
)
);
}
const riskDrivers = [
createRiskDriver(
'Legislative pipeline complexity',
'legislative_delay',
Math.min(procedures.length * 2, 30),
'stable'
),
createRiskDriver('Coalition dynamics', 'coalition_fracture', 15, 'stable'),
];
const workflow = runAgentRiskAssessment(
`ASSESS-${date}`,
date,
ArticleCategory.WEEK_AHEAD,
identifiedRisks,
riskDrivers,
['Monitor legislative velocity indicators', 'Track coalition voting patterns']
);
return generateRiskAssessmentMarkdown(workflow);
}
/**
* Build markdown for the deep multi-perspective analysis.
* Uses existing `buildDefaultStakeholderPerspectives`.
*
* @param fetchedData - Raw fetched EP data
* @param date - Analysis date
* @returns Markdown content string
*/
function buildDeepAnalysisMarkdown(fetchedData: Record<string, unknown>, date: string): string {
const header = buildMarkdownHeader('deep-analysis', date, 'high');
const events = Array.isArray(fetchedData['events']) ? fetchedData['events'] : [];
const topic = `European Parliament activity for ${date}`;
const perspectives = buildDefaultStakeholderPerspectives(topic);
const perspectivesText = perspectives
.map(
(p) =>
`### ${p.stakeholder.replace(/_/g, ' ').replace(/\b\w/g, (c) => c.toUpperCase())}\n- **Impact**: ${p.impact}\n- **Severity**: ${p.severity}\n- **Reasoning**: ${p.reasoning}`
)
.join('\n\n');
return (
header +
`# Deep Multi-Perspective Analysis
## Overview
Comprehensive multi-stakeholder analysis of European Parliament activities.
## Scope
- **Events analysed**: ${events.length}
- **Stakeholders covered**: 6 groups
- **Date**: ${date}
## Stakeholder Perspectives
${perspectivesText}
## Key Findings
- Cross-cutting analysis across all major stakeholder groups completed
- Impact assessments derived from available parliamentary data
`
);
}
/**
* Build markdown for the stakeholder impact analysis.
* Uses `buildStakeholderOutcomeMatrix`.
*
* @param fetchedData - Raw fetched EP data
* @param date - Analysis date
* @returns Markdown content string
*/
function buildStakeholderAnalysisMarkdown(
fetchedData: Record<string, unknown>,
date: string
): string {
const header = buildMarkdownHeader('stakeholder-analysis', date, 'high');
const actions = ['Legislative proceedings', 'Committee activity', 'Plenary decisions'];
const matrices = actions.map((action) =>
buildStakeholderOutcomeMatrix(action, {
political_groups: 0.7,
civil_society: 0.6,
industry: 0.5,
national_govts: 0.6,
citizens: 0.5,
eu_institutions: 0.8,
})
);
const tableRows = matrices
.map(
(m) =>
`| ${m.action} | ${m.outcomes['political_groups']} | ${m.outcomes['civil_society']} | ${m.outcomes['industry']} | ${m.outcomes['national_govts']} | ${m.outcomes['citizens']} | ${m.outcomes['eu_institutions']} | ${m.confidence} |`
)
.join('\n');
return (
header +
`# Stakeholder Impact Analysis
## Overview
Outcome matrix analysis for key parliamentary actions.
## Stakeholder Outcome Matrix
| Action | Political Groups | Civil Society | Industry | National Govts | Citizens | EU Institutions | Confidence |
|--------|-----------------|---------------|----------|----------------|----------|-----------------|------------|
${tableRows}
## Date: ${date}
- **Data sources used**: ${Object.keys(fetchedData).join(', ')}
`
);
}
/**
* Build markdown for coalition cohesion analysis.
* Uses `computeCrossSessionCoalitionStability` to aggregate VotingPattern cohesion.
*
* @param fetchedData - Raw fetched EP data
* @param date - Analysis date
* @returns Markdown content string
*/
function buildCoalitionAnalysisMarkdown(
fetchedData: Record<string, unknown>,
date: string
): string {
const header = buildMarkdownHeader('coalition-analysis', date, 'high');
const rawPatterns = Array.isArray(fetchedData['patterns']) ? fetchedData['patterns'] : [];
// VotingPattern[] data doesn't contain the `coalitionId`/`id` fields required
// by analyzeCoalitionCohesion(). Use computeCrossSessionCoalitionStability()
// instead — it is designed to aggregate cohesion across VotingPattern arrays.
const stabilityReport = computeCrossSessionCoalitionStability(
rawPatterns as Parameters<typeof computeCrossSessionCoalitionStability>[0]
);
return (
header +
`# Coalition Cohesion Analysis
## Overview
Analysis of political group cohesion and coalition dynamics.
## Coalition Metrics
- **Overall Stability**: ${(stabilityReport.overallStability * 100).toFixed(1)}%
- **Forecast**: ${stabilityReport.forecast}
- **Patterns Analysed**: ${stabilityReport.patternCount}
## Group Analysis
- **Stable Groups**: ${stabilityReport.stableGroups.length > 0 ? stabilityReport.stableGroups.join(', ') : 'No stable groups identified'}
- **Declining Groups**: ${stabilityReport.decliningGroups.length > 0 ? stabilityReport.decliningGroups.join(', ') : 'No declining groups identified'}
## Coalition Intelligence
- **Patterns Evaluated**: ${rawPatterns.length}
## Date: ${date}
`
);
}
/**
* Build markdown for voting pattern analysis.
* Uses `detectVotingTrends`.
*
* @param fetchedData - Raw fetched EP data
* @param date - Analysis date
* @returns Markdown content string
*/
function buildVotingPatternsMarkdown(fetchedData: Record<string, unknown>, date: string): string {
const header = buildMarkdownHeader('voting-patterns', date, 'high');
// detectVotingTrends accepts readonly VotingRecord[] — pass raw records directly
const rawRecords = Array.isArray(fetchedData['votingRecords'])
? fetchedData['votingRecords']
: [];
const trends = detectVotingTrends(rawRecords as Parameters<typeof detectVotingTrends>[0]);
const trendsText = trends
.map(
(t) =>
`| ${t.trendId} | ${t.direction} | ${(t.confidence * 100).toFixed(0)}% | ${t.recordCount} records |`
)
.join('\n');
return (
header +
`# Voting Pattern Analysis
## Overview
Detection and analysis of voting trends across European Parliament proceedings.
## Detected Trends
| Trend ID | Direction | Confidence | Data Points |
|----------|-----------|------------|-------------|
${trendsText || '| No trend data available | — | — | — |'}
## Summary
- **Trends identified**: ${trends.length}
- **Records analysed**: ${rawRecords.length}
- **Date**: ${date}
`
);
}
/**
* Build markdown for cross-session intelligence analysis.
* Uses `computeCrossSessionCoalitionStability`.
*
* @param fetchedData - Raw fetched EP data
* @param date - Analysis date
* @returns Markdown content string
*/
function buildCrossSessionIntelligenceMarkdown(
fetchedData: Record<string, unknown>,
date: string
): string {
const header = buildMarkdownHeader('cross-session-intelligence', date, 'high');
const rawPatterns = Array.isArray(fetchedData['patterns']) ? fetchedData['patterns'] : [];
// computeCrossSessionCoalitionStability accepts readonly VotingPattern[]
const stabilityReport = computeCrossSessionCoalitionStability(
rawPatterns as Parameters<typeof computeCrossSessionCoalitionStability>[0]
);
return (
header +
`# Cross-Session Coalition Intelligence
## Overview
Analysis of coalition stability patterns across multiple plenary sessions.
## Stability Report
- **Overall Stability**: ${(stabilityReport.overallStability * 100).toFixed(1)}%
- **Forecast**: ${stabilityReport.forecast}
- **Patterns Analysed**: ${stabilityReport.patternCount}
## Group Analysis
- **Stable Groups**: ${stabilityReport.stableGroups.length > 0 ? stabilityReport.stableGroups.join(', ') : 'None identified'}
- **Declining Groups**: ${stabilityReport.decliningGroups.length > 0 ? stabilityReport.decliningGroups.join(', ') : 'None identified'}
## Date: ${date}
`
);
}
// ─── Method-to-builder map ────────────────────────────────────────────────────
type MarkdownBuilder = (fetchedData: Record<string, unknown>, date: string) => string;
/** Map from AnalysisMethod to its markdown builder function */
const METHOD_BUILDERS: Readonly<Record<AnalysisMethod, MarkdownBuilder>> = {
'significance-classification': buildSignificanceClassificationMarkdown,
'impact-matrix': buildImpactMatrixMarkdown,
'actor-mapping': buildActorMappingMarkdown,
'forces-analysis': buildForcesAnalysisMarkdown,
'political-stride': buildPoliticalStrideMarkdown,
'actor-threat-profiling': buildActorThreatProfilingMarkdown,
'consequence-trees': buildConsequenceTreesMarkdown,
'legislative-disruption': buildLegislativeDisruptionMarkdown,
'risk-matrix': buildRiskMatrixMarkdown,
'political-capital-risk': buildPoliticalCapitalRiskMarkdown,
'quantitative-swot': buildQuantitativeSwotMarkdown,
'legislative-velocity-risk': buildLegislativeVelocityRiskMarkdown,
'agent-risk-workflow': buildAgentRiskWorkflowMarkdown,
'deep-analysis': buildDeepAnalysisMarkdown,
'stakeholder-analysis': buildStakeholderAnalysisMarkdown,
'coalition-analysis': buildCoalitionAnalysisMarkdown,
'voting-patterns': buildVotingPatternsMarkdown,
'cross-session-intelligence': buildCrossSessionIntelligenceMarkdown,
};
// ─── Method subdir constants ──────────────────────────────────────────────────
/** Subdirectory name for classification analysis methods */
const SUBDIR_CLASSIFICATION = 'classification';
/** Subdirectory name for threat assessment analysis methods */
const SUBDIR_THREAT_ASSESSMENT = 'threat-assessment';
/** Subdirectory name for risk scoring analysis methods */
const SUBDIR_RISK_SCORING = 'risk-scoring';
/** Subdirectory name for existing analysis methods */
const SUBDIR_EXISTING = 'existing';
/** Subdirectory for each analysis method group */
const METHOD_SUBDIRS: Readonly<Record<AnalysisMethod, string>> = {
'significance-classification': SUBDIR_CLASSIFICATION,
'impact-matrix': SUBDIR_CLASSIFICATION,
'actor-mapping': SUBDIR_CLASSIFICATION,
'forces-analysis': SUBDIR_CLASSIFICATION,
'political-stride': SUBDIR_THREAT_ASSESSMENT,
'actor-threat-profiling': SUBDIR_THREAT_ASSESSMENT,
'consequence-trees': SUBDIR_THREAT_ASSESSMENT,
'legislative-disruption': SUBDIR_THREAT_ASSESSMENT,
'risk-matrix': SUBDIR_RISK_SCORING,
'political-capital-risk': SUBDIR_RISK_SCORING,
'quantitative-swot': SUBDIR_RISK_SCORING,
'legislative-velocity-risk': SUBDIR_RISK_SCORING,
'agent-risk-workflow': SUBDIR_RISK_SCORING,
'deep-analysis': SUBDIR_EXISTING,
'stakeholder-analysis': SUBDIR_EXISTING,
'coalition-analysis': SUBDIR_EXISTING,
'voting-patterns': SUBDIR_EXISTING,
'cross-session-intelligence': SUBDIR_EXISTING,
};
/** Default confidence level for each analysis method group */
const METHOD_DEFAULT_CONFIDENCE: Readonly<Record<AnalysisMethod, ConfidenceLevel>> = {
'significance-classification': 'medium',
'impact-matrix': 'medium',
'actor-mapping': 'medium',
'forces-analysis': 'medium',
'political-stride': 'medium',
'actor-threat-profiling': 'low',
'consequence-trees': 'medium',
'legislative-disruption': 'medium',
'risk-matrix': 'medium',
'political-capital-risk': 'medium',
'quantitative-swot': 'medium',
'legislative-velocity-risk': 'medium',
'agent-risk-workflow': 'medium',
'deep-analysis': 'high',
'stakeholder-analysis': 'high',
'coalition-analysis': 'high',
'voting-patterns': 'high',
'cross-session-intelligence': 'high',
};
/** Filename for each analysis method */
const METHOD_FILENAMES: Readonly<Record<AnalysisMethod, string>> = {
'significance-classification': 'significance-assessment.md',
'impact-matrix': 'impact-matrix.md',
'actor-mapping': 'actor-mapping.md',
'forces-analysis': 'forces-analysis.md',
'political-stride': 'political-stride-assessment.md',
'actor-threat-profiling': 'actor-threat-profiles.md',
'consequence-trees': 'consequence-trees.md',
'legislative-disruption': 'legislative-disruption.md',
'risk-matrix': 'risk-matrix.md',
'political-capital-risk': 'political-capital-risk.md',
'quantitative-swot': 'quantitative-swot.md',
'legislative-velocity-risk': 'legislative-velocity-risk.md',
'agent-risk-workflow': 'agent-risk-workflow.md',
'deep-analysis': 'deep-analysis.md',
'stakeholder-analysis': 'stakeholder-analysis.md',
'coalition-analysis': 'coalition-analysis.md',
'voting-patterns': 'voting-patterns.md',
'cross-session-intelligence': 'cross-session-intelligence.md',
};
// ─── Core runner ──────────────────────────────────────────────────────────────
/**
* Run a single analysis method and return its status record.
*
* Wraps the builder call in a try/catch so failures are isolated.
*
* @param method - The analysis method to run
* @param fetchedData - Raw fetched EP data
* @param date - ISO date string
* @param dateOutputDir - Absolute path to the date-scoped output directory
* @param skipCompleted - Whether to skip methods whose output already exists
* @param verbose - Whether to print verbose progress
* @returns Status record for the method
*/
function runSingleMethod(
method: AnalysisMethod,
fetchedData: Record<string, unknown>,
date: string,
dateOutputDir: string,
skipCompleted: boolean,
verbose: boolean
): AnalysisMethodStatus {
const subdir = METHOD_SUBDIRS[method];
const filename = METHOD_FILENAMES[method];
const absolutePath = path.join(dateOutputDir, subdir, filename);
// Store a portable relative path (relative to the date-scoped output dir)
// in the manifest to avoid exposing runner/local filesystem layout.
const relativeOutputFile = path.posix.join(subdir, filename);
const confidence = METHOD_DEFAULT_CONFIDENCE[method];
if (skipCompleted && methodOutputExists(absolutePath)) {
Iif (verbose) console.log(` ⏭️ [analysis] Skipping already-completed method: ${method}`);
return {
method,
status: 'skipped',
outputFile: relativeOutputFile,
confidence,
duration: 0,
summary: `Skipped — output already exists at ${relativeOutputFile}`,
};
}
const start = Date.now();
try {
const builder = METHOD_BUILDERS[method];
const markdown = builder(fetchedData, date);
writeTextFile(absolutePath, markdown);
const duration = Date.now() - start;
if (verbose)
console.log(` ✅ [analysis] ${method} completed in ${duration}ms → ${relativeOutputFile}`);
return {
method,
status: 'completed',
outputFile: relativeOutputFile,
confidence,
duration,
summary: `${method} analysis completed successfully`,
};
} catch (err: unknown) {
const duration = Date.now() - start;
const message = err instanceof Error ? err.message : String(err);
console.error(` ❌ [analysis] ${method} failed: ${message}`);
return {
method,
status: 'failed',
outputFile: relativeOutputFile,
confidence: 'low',
duration,
summary: `${method} failed: ${message}`,
};
}
}
// ─── Public API ───────────────────────────────────────────────────────────────
/**
* Run the full analysis pipeline stage.
*
* Executes all enabled analysis methods sequentially, writing markdown files
* to `outputDir/{date}/` and a `manifest.json` summary. Individual method
* failures are isolated — other methods continue regardless.
*
* @param fetchedData - Raw EP data fetched by the fetch stage (keyed by data type)
* @param options - Analysis stage configuration
* @returns Analysis context object for consumption by the generate stage
*
* @example
* ```ts
* const ctx = await runAnalysisStage(fetchedData, {
* articleTypes: [ArticleCategory.WEEK_AHEAD],
* date: '2026-03-26',
* outputDir: 'analysis-output',
* skipCompleted: true,
* verbose: true,
* });
* ```
*/
export async function runAnalysisStage(
fetchedData: Record<string, unknown>,
options: AnalysisStageOptions
): Promise<AnalysisContext> {
const {
articleTypes,
date,
outputDir,
enabledMethods = ALL_ANALYSIS_METHODS,
skipCompleted = true,
verbose = false,
} = options;
// Validate date to prevent path traversal (e.g. "../../.." escaping outputDir)
if (!/^\d{4}-\d{2}-\d{2}$/u.test(date)) {
throw new Error(`Invalid analysis date "${date}": must match YYYY-MM-DD format`);
}
// Deduplicate enabledMethods (preserving order) so programmatic callers
// that accidentally pass duplicates don't run the same method twice.
const deduplicatedMethods = [...new Set(enabledMethods)];
const startTime = new Date().toISOString();
const runId = randomUUID();
const dateOutputDir = path.resolve(outputDir, date);
if (verbose) {
console.log(`🔬 [analysis] Starting analysis stage (runId: ${runId})`);
console.log(` Date: ${date}`);
console.log(` Methods: ${deduplicatedMethods.length}`);
console.log(` Output: ${dateOutputDir}`);
}
ensureDirectoryExists(dateOutputDir);
// Run all enabled methods sequentially; isolate failures
const methodResults: AnalysisMethodStatus[] = [];
for (const method of deduplicatedMethods) {
const result = runSingleMethod(
method,
fetchedData,
date,
dateOutputDir,
skipCompleted,
verbose
);
methodResults.push(result);
}
const endTime = new Date().toISOString();
const overallConfidence = aggregateConfidence(methodResults);
const dataSourcesUsed = Object.keys(fetchedData).filter(
(k) => Array.isArray(fetchedData[k]) && (fetchedData[k] as unknown[]).length > 0
);
const manifest: AnalysisManifest = {
runId,
date,
startTime,
endTime,
articleTypes: [...articleTypes],
methods: methodResults,
overallConfidence,
dataSourcesUsed,
};
// Write manifest.json
const manifestPath = path.join(dateOutputDir, 'manifest.json');
writeTextFile(manifestPath, JSON.stringify(manifest, null, 2));
if (verbose) {
const completed = methodResults.filter((r) => r.status === 'completed').length;
const skipped = methodResults.filter((r) => r.status === 'skipped').length;
const failed = methodResults.filter((r) => r.status === 'failed').length;
console.log(
`🔬 [analysis] Stage complete: ${completed} completed, ${skipped} skipped, ${failed} failed`
);
console.log(` Overall confidence: ${overallConfidence}`);
}
const completedMethods = methodResults
.filter((r) => r.status === 'completed' || r.status === 'skipped')
.map((r) => r.method);
const resultsMap = new Map<AnalysisMethod, AnalysisMethodStatus>(
methodResults.map((r) => [r.method, r])
);
return {
date,
outputDir: dateOutputDir,
completedMethods,
results: resultsMap,
manifest,
};
}
|