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| 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 | 2x 2x 4x 2x 2x 4x 2x 2x | /**
* @module CIA/Loaders/Documents
* @category Intelligence Platform - Data Acquisition & Pipeline Management
*
* @description
* Builds the parliamentary document activity dashboard from CIA CSV exports.
* Joins annual document type counts with monthly decision approval trends.
*
* @author Hack23 AB - Data Pipeline Engineering
* @license Apache-2.0
* @since 2026
*/
import type {
DecisionTrendEntry,
DocumentActivityDashboard,
DocumentTypeEntry
} from '../types.js';
import type { LoadCSV } from '../csv-utils.js';
import { CSV_SOURCES } from '../sources.js';
/**
* Build `DocumentActivityDashboard` from CSV sources.
*
* @param loadCSV - CSV loader closure
* @returns Document type and decision trend rows with zero-row filtering
*/
export async function loadDocumentActivity(loadCSV: LoadCSV): Promise<DocumentActivityDashboard> {
const [docTypeRows, decisionRows] = await Promise.all([
loadCSV(CSV_SOURCES.annualDocTypes.local),
loadCSV(CSV_SOURCES.decisionTrends.local)
]);
const documentTypes: DocumentTypeEntry[] = docTypeRows
.filter(r => (r.doc_count as number) > 0)
.map(r => ({
year: (r.year as number) || 0,
documentType: (r.document_type as string) || '',
docCount: (r.doc_count as number) || 0
}));
const decisionTrends: DecisionTrendEntry[] = decisionRows
.filter(r => (r.decision_count as number) > 0)
.map(r => ({
year: (r.year as number) || 0,
month: (r.month as number) || 0,
decisionCount: (r.decision_count as number) || 0,
approvedDecisions: (r.approved_decisions as number) || 0,
rejectedDecisions: (r.rejected_decisions as number) || 0,
approvalRate: (r.approval_rate as number) || 0
}));
return {
title: 'Parliamentary Document Activity',
description: 'Document production and decision trends from CIA database exports',
lastUpdated: new Date().toISOString(),
documentTypes,
decisionTrends,
_source: 'csv'
};
}
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