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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 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 | 43x 43x 43x 43x 43x 43x 17x 43x 43x 43x 43x 43x | /**
* OSINT intelligence analysis tool Zod validation schemas.
*
* @module schemas/ep/analysis
*/
import { z } from 'zod';
import { DateStringSchema } from './common.js';
/**
* Analyze voting patterns input schema
*/
export const AnalyzeVotingPatternsSchema = z.object({
mepId: z.string()
.min(1)
.max(100)
.describe('MEP identifier'),
dateFrom: DateStringSchema.optional(),
dateTo: DateStringSchema.optional(),
compareWithGroup: z.boolean()
.default(true)
.describe('Compare with political group average')
});
/**
* Track legislation input schema
*/
export const TrackLegislationSchema = z.object({
procedureId: z.string()
.min(1)
.max(100)
.describe('Legislative procedure identifier')
});
/**
* Generate report input schema
*/
export const GenerateReportSchema = z.object({
reportType: z.enum(['MEP_ACTIVITY', 'COMMITTEE_PERFORMANCE', 'VOTING_STATISTICS', 'LEGISLATION_PROGRESS'])
.describe('Type of report to generate'),
subjectId: z.string()
.min(1)
.max(100)
.optional()
.describe('Subject identifier (MEP ID, Committee ID, etc.)'),
dateFrom: DateStringSchema.optional(),
dateTo: DateStringSchema.optional()
});
/**
* Assess MEP influence input schema
*/
export const AssessMepInfluenceSchema = z.object({
mepId: z.string()
.min(1)
.max(100)
.describe('MEP identifier'),
dateFrom: DateStringSchema.optional(),
dateTo: DateStringSchema.optional(),
includeDetails: z.boolean()
.default(false)
.describe('Include detailed breakdown per dimension')
});
/**
* Analyze coalition dynamics input schema
*/
export const AnalyzeCoalitionDynamicsSchema = z.object({
groupIds: z.array(z.string().min(1).max(50))
.min(1)
.max(10)
.optional()
.describe('Political group identifiers to analyze (omit for all groups)'),
dateFrom: DateStringSchema.optional(),
dateTo: DateStringSchema.optional(),
minimumCohesion: z.number()
.min(0)
.max(1)
.default(0.5)
.describe('Minimum cohesion threshold for alliance detection')
});
/**
* Detect voting anomalies input schema
*/
export const DetectVotingAnomaliesSchema = z.object({
mepId: z.string()
.min(1)
.max(100)
.optional()
.describe('MEP identifier (omit for all MEPs)'),
groupId: z.string()
.min(1)
.max(50)
.optional()
.describe('Political group to analyze'),
dateFrom: DateStringSchema.optional(),
dateTo: DateStringSchema.optional(),
sensitivityThreshold: z.number()
.min(0)
.max(1)
.default(0.3)
.describe('Anomaly sensitivity (lower = more anomalies detected)')
}).refine(
data => !(data.mepId !== undefined && data.groupId !== undefined),
{ message: 'Cannot specify both mepId and groupId — use one or neither' }
);
/**
* Compare political groups input schema
*/
export const ComparePoliticalGroupsSchema = z.object({
groupIds: z.array(z.string().min(1).max(50))
.min(2)
.max(10)
.describe('Political group identifiers to compare'),
dateFrom: DateStringSchema.optional(),
dateTo: DateStringSchema.optional(),
dimensions: z.array(z.enum([
'voting_discipline',
'activity_level',
'legislative_output',
'attendance',
'cohesion'
])).optional()
.describe('Comparison dimensions (omit for all)')
});
/**
* Analyze legislative effectiveness input schema
*/
export const AnalyzeLegislativeEffectivenessSchema = z.object({
subjectType: z.enum(['MEP', 'COMMITTEE'])
.describe('Subject type to analyze'),
subjectId: z.string()
.min(1)
.max(100)
.describe('Subject identifier (MEP ID or committee abbreviation)'),
dateFrom: DateStringSchema.optional(),
dateTo: DateStringSchema.optional()
});
/**
* Monitor legislative pipeline input schema
*/
export const MonitorLegislativePipelineSchema = z.object({
committee: z.string()
.min(1)
.max(100)
.optional()
.describe('Filter by committee'),
status: z.enum(['ALL', 'ACTIVE', 'STALLED', 'COMPLETED'])
.default('ACTIVE')
.describe('Pipeline status filter'),
dateFrom: DateStringSchema.optional(),
dateTo: DateStringSchema.optional(),
limit: z.number()
.int()
.min(1)
.max(100)
.default(20)
.describe('Maximum results to return')
});
/**
* Standard OSINT output fields Zod schema.
*
* Validates the common output fields present on every OSINT intelligence tool
* response: confidenceLevel, methodology, dataFreshness, and sourceAttribution.
*
* **Confidence Level Criteria:**
* - `HIGH` — Full EP API data (voting statistics, complete membership)
* - `MEDIUM` — Partial EP API data; results are indicative
* - `LOW` — Insufficient data; treat output with caution
*/
export const OsintStandardOutputSchema = z.object({
confidenceLevel: z.enum(['HIGH', 'MEDIUM', 'LOW'])
.describe('Confidence level based on data availability and quality'),
methodology: z.string()
.describe('Methodology used for intelligence analysis'),
dataFreshness: z.string()
.describe('Data freshness indicator or description of data currency'),
sourceAttribution: z.string()
.describe('Attribution to European Parliament Open Data Portal data sources'),
});
/**
* Cross-tool intelligence correlation input schema.
*
* Accepts 1-5 MEP identifiers for per-MEP correlations (influence × anomaly,
* network × committee) and optional political group identifiers for
* coalition-level analysis (early warning × coalition dynamics).
*/
export const CorrelateIntelligenceSchema = z.object({
mepIds: z.array(
z.string().min(1).max(100).describe('MEP identifier')
)
.min(1)
.max(5)
.describe('MEP identifiers to cross-correlate (1–5 MEPs)'),
groups: z.array(
z.string().min(1).max(50).describe('Political group identifier')
)
.max(8)
.optional()
.describe('Political groups for coalition fracture analysis (omit to use all major groups)'),
sensitivityLevel: z.enum(['HIGH', 'MEDIUM', 'LOW'])
.default('MEDIUM')
.describe('Alert sensitivity — HIGH surfaces more signals, LOW reduces noise'),
includeNetworkAnalysis: z.boolean()
.default(false)
.describe('Run network centrality analysis (increases response time)'),
});
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