# All files / src/schemas/ep analysis.ts

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     /**
     * OSINT intelligence analysis tool Zod validation schemas.
     *
     * @module schemas/ep/analysis
     */

    import { z } from 'zod';
    import { DateStringSchema, MepIdSchema, refineDateRange, DATE_RANGE_ERROR } from './common.js';

    /**
     * Analyze voting patterns input schema
     */
    export const AnalyzeVotingPatternsSchema = z.object({
      mepId: MepIdSchema
        .describe('MEP identifier'),
      dateFrom: DateStringSchema.optional(),
      dateTo: DateStringSchema.optional(),
      compareWithGroup: z.boolean()
        .default(true)
        .describe('Compare with political group average')
    }).refine(
      refineDateRange,
      { message: DATE_RANGE_ERROR }
    );

    /**
     * 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()
    }).refine(
      refineDateRange,
      { message: DATE_RANGE_ERROR }
    );

    /**
     * Assess MEP influence input schema
     */
    export const AssessMepInfluenceSchema = z.object({
      mepId: MepIdSchema
        .describe('MEP identifier'),
      dateFrom: DateStringSchema.optional(),
      dateTo: DateStringSchema.optional(),
      includeDetails: z.boolean()
        .default(false)
        .describe('Include detailed breakdown per dimension')
    }).refine(
      refineDateRange,
      { message: DATE_RANGE_ERROR }
    );

    /**
     * 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('Threshold for coalition allianceSignal detection (0-1). NOTE: applied to coalitionPairs[].sizeSimilarityScore (a group-size ratio proxy) until vote-level cohesion data becomes available; the parameter name is preserved for backward compatibility.')
    }).refine(
      refineDateRange,
      { message: DATE_RANGE_ERROR }
    );

    /**
     * Detect voting anomalies input schema
     */
    export const DetectVotingAnomaliesSchema = z.object({
      mepId: MepIdSchema
        .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' }
    ).refine(
      refineDateRange,
      { message: DATE_RANGE_ERROR }
    );

    /**
     * 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)')
    }).refine(
      refineDateRange,
      { message: DATE_RANGE_ERROR }
    );

    /**
     * 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()
    }).refine(
      refineDateRange,
      { message: DATE_RANGE_ERROR }
    );

    /**
     * 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')
    }).refine(
      refineDateRange,
      { message: DATE_RANGE_ERROR }
    );

    /**
     * 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'),
      dataQualityWarnings: z.array(z.string())
        .describe('Warnings about data quality issues, unavailable metrics, or limitations'),
    });

    /**
     * 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(
        MepIdSchema.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)'),
    });