# All files / src/tools generatePoliticalLandscape.ts

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     /**
     * MCP Tool: generate_political_landscape
     *
     * Generate a comprehensive political landscape overview of the
     * European Parliament — group sizes, power dynamics, coalition
     * patterns, and activity metrics in a single intelligence product.
     *
     * **Intelligence Perspective:** The political landscape tool provides a
     * strategic-level overview combining group composition, voting cohesion,
     * coalition patterns, and activity intensity—the go-to tool for
     * situational awareness across the entire Parliament.
     *
     * **Business Perspective:** Single-call comprehensive overview enables
     * quick onboarding for policy teams and provides context for all
     * subsequent analysis queries.
     *
     * ISMS Policy: SC-002 (Input Validation), AC-003 (Least Privilege)
     */

    import { z } from 'zod';
    import { epClient } from '../clients/europeanParliamentClient.js';
    import { auditLogger, toErrorMessage } from '../utils/auditLogger.js';
    import { fetchAllCurrentMEPs } from '../utils/mepFetcher.js';
    import { normalizePoliticalGroup } from '../utils/politicalGroupNormalization.js';
    import type { ToolResult } from './shared/types.js';
    import { withTimeout, TimeoutError } from '../utils/timeout.js';
    import { buildTimeoutResponse } from './shared/errorHandler.js';

    /**
     * Maximum wall-clock time (ms) allowed for the full landscape generation.
     * Chosen to be comfortably below the integration-test timeout of 120 000 ms
     * so the tool can return a graceful `timedOut: true` response instead of
     * being killed by the test runner.
     */
    const OPERATION_TIMEOUT_MS = 100_000;

    /**
     * Schema for generate_political_landscape tool input
     */
    export const GeneratePoliticalLandscapeSchema = z.object({
      dateFrom: z.string()
        .regex(/^\d{4}-\d{2}-\d{2}$/, 'Date must be in YYYY-MM-DD format')
        .optional()
        .describe('Start date for analysis period'),
      dateTo: z.string()
        .regex(/^\d{4}-\d{2}-\d{2}$/, 'Date must be in YYYY-MM-DD format')
        .optional()
        .describe('End date for analysis period')
    });

    /**
     * Political group summary
     */
    interface GroupSummary {
      name: string;
      memberCount: number;
      seatShare: number;
      countries: number;
    }

    /**
     * Political landscape overview
     */
    interface PoliticalLandscape {
      period: { from: string; to: string };
      parliament: {
        totalMEPs: number;
        politicalGroups: number;
        countriesRepresented: number;
      };
      groups: GroupSummary[];
      powerDynamics: {
        largestGroup: string;
        majorityThreshold: number;
        grandCoalitionSize: number;
        progressiveBloc: number;
        conservativeBloc: number;
      };
      activityMetrics: {
        averageAttendance: number;
        recentSessionCount: number;
      };
      computedAttributes: {
        fragmentationIndex: string;
        majorityType: string;
        politicalBalance: string;
        overallEngagement: string;
      };
      confidenceLevel: 'HIGH' | 'MEDIUM' | 'LOW';
      dataFreshness: string;
      sourceAttribution: string;
      methodology: string;
      dataQualityWarnings: string[];
    }

    /**
     * Classify political group into bloc.
     * Based on European Parliament's traditional left-right spectrum:
     * - Progressive: Greens/EFA, GUE/NGL (The Left), S&D — left-of-centre families
     * - Conservative: ECR, ID/PfE — right-of-centre and eurosceptic families
     * - Centre: EPP, Renew, and others — centrist or cross-spectrum
     * - NI (Non-Inscrits) default to 'center' as they have no formal bloc alignment
     */
    function classifyBloc(group: string): 'progressive' | 'conservative' | 'center' {
      const normalised = group.toUpperCase();
      if (normalised.includes('GREEN') || normalised.includes('LEFT') || normalised.includes('S&D')) {
        return 'progressive';
      }
      if (normalised.includes('ECR') || normalised.includes('ID') || normalised.includes('PFE')) {
        return 'conservative';
      }
      return 'center';
    }

    /**
     * Compute fragmentation index label
     */
    function computeFragmentation(groupCount: number): string {
      if (groupCount >= 8) return 'HIGH';
      Iif (groupCount >= 5) return 'MODERATE';
      return 'LOW';
    }

    /**
     * Compute majority type
     */
    function computeMajorityType(largestShare: number, grandShare: number): string {
      if (largestShare > 50) return 'SINGLE_GROUP_MAJORITY';
      if (grandShare > 60) return 'GRAND_COALITION_DOMINANT';
      return 'MULTI_COALITION_REQUIRED';
    }

    /**
     * Compute political balance label
     */
    function computePoliticalBalance(
      progressive: number,
      conservative: number
    ): string {
      const ratio = progressive / Math.max(1, conservative);
      if (ratio > 1.3) return 'PROGRESSIVE_LEANING';
      if (ratio < 0.77) return 'CONSERVATIVE_LEANING';
      return 'BALANCED';
    }

    /**
     * Compute engagement label
     */
    function computeEngagement(avgAttendance: number): string {
      Iif (avgAttendance >= 80) return 'HIGH';
      Iif (avgAttendance >= 65) return 'MODERATE';
      return 'LOW';
    }

    /**
     * Aggregate MEPs by political group
     */
    function aggregateByGroup(
      meps: { politicalGroup: string; country: string }[]
    ): { groups: GroupSummary[]; countriesRepresented: number; totalMEPs: number } {
      const groupMap = new Map<string, { count: number; countries: Set<string> }>();
      const allCountries = new Set<string>();
      const totalMEPs = meps.length;

      for (const mep of meps) {
        allCountries.add(mep.country);
        const groupKey = normalizePoliticalGroup(mep.politicalGroup);
        const existing = groupMap.get(groupKey);
        if (existing !== undefined) {
          existing.count++;
          existing.countries.add(mep.country);
        } else {
          groupMap.set(groupKey, {
            count: 1,
            countries: new Set([mep.country])
          });
        }
      }

      const groups: GroupSummary[] = Array.from(groupMap.entries())
        .map(([name, data]) => ({
          name,
          memberCount: data.count,
          seatShare: Math.round((data.count / Math.max(1, totalMEPs)) * 10000) / 100,
          countries: data.countries.size
        }))
        .sort((a, b) => b.memberCount - a.memberCount);

      return { groups, countriesRepresented: allCountries.size, totalMEPs };
    }

    /**
     * Compute power dynamics from group summaries
     */
    function computePowerDynamics(
      groups: GroupSummary[],
      totalMEPs: number
    ): PoliticalLandscape['powerDynamics'] {
      const largestGroup = groups[0]?.name ?? 'Unknown';
      const majorityThreshold = Math.ceil(totalMEPs / 2) + 1;
      const grandSize = (groups[0]?.memberCount ?? 0) + (groups[1]?.memberCount ?? 0);

      let progressive = 0;
      let conservative = 0;
      for (const g of groups) {
        const bloc = classifyBloc(g.name);
        if (bloc === 'progressive') progressive += g.memberCount;
        if (bloc === 'conservative') conservative += g.memberCount;
      }

      return {
        largestGroup,
        majorityThreshold,
        grandCoalitionSize: grandSize,
        progressiveBloc: progressive,
        conservativeBloc: conservative
      };
    }

    /**
     * Build political landscape from EP data
     */
    async function buildLandscape(
      dateFrom: string,
      dateTo: string
    ): Promise<PoliticalLandscape> {
      const mepResult = await fetchAllCurrentMEPs();
      const meps = mepResult.meps;

      const { groups, countriesRepresented, totalMEPs } = aggregateByGroup(
        meps
      );

      const powerDynamics = computePowerDynamics(groups, totalMEPs);
      const largestShare = groups[0]?.seatShare ?? 0;
      const grandShare = Math.round(
        (powerDynamics.grandCoalitionSize / Math.max(1, totalMEPs)) * 10000
      ) / 100;

      let recentSessionCount = 0;
      try {
        const year = parseInt(dateFrom.substring(0, 4), 10);
        const sessions = await epClient.getPlenarySessions({
          year,
          limit: 100
        });
        recentSessionCount = sessions.data.length;
      } catch (error: unknown) {
        auditLogger.logError('generate_political_landscape.fetch_sessions', { dateFrom, dateTo }, toErrorMessage(error));
      }

      let confidenceLevel: 'HIGH' | 'MEDIUM' | 'LOW';
      if (!mepResult.complete) {
        confidenceLevel = 'LOW';
      } else if (totalMEPs >= 600) {
        confidenceLevel = 'HIGH';
      } else if (totalMEPs >= 200) {
        confidenceLevel = 'MEDIUM';
      } else {
        confidenceLevel = 'LOW';
      }

      const dataQualityWarnings: string[] = [
        'Bloc classification (progressive/conservative/centre) uses hardcoded group mapping — NI members classified as centre by default',
        'Attendance data unavailable from EP API — average attendance reported as zero',
      ];
      if (!mepResult.complete) {
        const offsetLabel = mepResult.failureOffset !== undefined
          ? `offset ${String(mepResult.failureOffset)}`
          : 'an unknown offset';
        dataQualityWarnings.push(
          `MEP pagination failed at ${offsetLabel}; seat shares are computed from the partial roster collected before the failure.`
        );
      }

      return {
        period: { from: dateFrom, to: dateTo },
        parliament: {
          totalMEPs,
          politicalGroups: groups.length,
          countriesRepresented
        },
        groups,
        powerDynamics,
        activityMetrics: {
          averageAttendance: 0,
          recentSessionCount
        },
        computedAttributes: {
          fragmentationIndex: computeFragmentation(groups.length),
          majorityType: computeMajorityType(largestShare, grandShare),
          politicalBalance: computePoliticalBalance(
            powerDynamics.progressiveBloc,
            powerDynamics.conservativeBloc
          ),
          overallEngagement: computeEngagement(0)
        },
        confidenceLevel,
        dataFreshness: 'Real-time EP API data — MEP records and plenary sessions from EP Open Data',
        sourceAttribution: 'European Parliament Open Data Portal - data.europarl.europa.eu',
        methodology: 'Political landscape analysis using real EP Open Data: full paginated MEP '
          + 'roster (typically ~720 MEPs in EP10), group composition mapping with native-language '
          + 'acronym normalisation (e.g. PPE → EPP, Verts-ALE → Greens/EFA, ID → PfE), bloc '
          + 'classification, coalition threshold calculation, fragmentation indexing, and plenary '
          + 'session counts (fetched page count, lower bound). Attendance data is not available '
          + 'from the EP API and is reported as zero. Data source: European Parliament Open Data Portal.',
        dataQualityWarnings,
      };
    }

    /**
     * Handles the generate_political_landscape MCP tool request.
     *
     * Generates a comprehensive snapshot of the current European Parliament political
     * landscape including group seat shares, bloc analysis (progressive vs. conservative),
     * coalition viability, and power-balance metrics. Provides single-call situational
     * awareness for strategic intelligence briefings.
     *
     * @param args - Raw tool arguments, validated against {@link GeneratePoliticalLandscapeSchema}
     * @returns MCP tool result containing group seat distributions, power dynamics,
     *   activity metrics, fragmentation index, majority type, and political balance score
     * @throws - If `args` fails schema validation (e.g., missing required fields or invalid format)
     * - If the European Parliament API is unreachable or returns an error response
     *
     * @example
     * ```typescript
     * const result = await handleGeneratePoliticalLandscape({
     *   dateFrom: '2024-01-01',
     *   dateTo: '2024-12-31'
     * });
     * // Returns full landscape with group sizes, bloc analysis,
     * // fragmentation index, and majority-type classification
     * ```
     *
     * @security - Input is validated with Zod before any API call.
     * - Personal data in responses is minimised per GDPR Article 5(1)(c).
     * - All requests are rate-limited and audit-logged per ISMS Policy AU-002.
     * @since 0.8.0
     * @see {@link generatePoliticalLandscapeToolMetadata} for MCP schema registration
     * @see {@link handleComparePoliticalGroups} for detailed per-group dimension comparison
     */
    export async function handleGeneratePoliticalLandscape(
      args: unknown
    ): Promise<ToolResult> {
      const params = GeneratePoliticalLandscapeSchema.parse(args);

      const now = new Date();
      const dateFrom = params.dateFrom ?? new Date(
        now.getFullYear() - 1,
        now.getMonth(),
        now.getDate()
      ).toISOString().split('T')[0] ?? '';
      const dateTo = params.dateTo ?? now.toISOString().split('T')[0] ?? '';

      try {
        const landscape = await withTimeout(
          buildLandscape(dateFrom, dateTo),
          OPERATION_TIMEOUT_MS,
          'generate_political_landscape operation timed out'
        );

        return {
          content: [
            {
              type: 'text',
              text: JSON.stringify(landscape, null, 2)
            }
          ]
        };
      } catch (error: unknown) {
        if (error instanceof TimeoutError) {
          return buildTimeoutResponse('generate_political_landscape', OPERATION_TIMEOUT_MS);
        }
        throw error;
      }
    }

    /**
     * Tool metadata for MCP listing
     */
    export const generatePoliticalLandscapeToolMetadata = {
      name: 'generate_political_landscape',
      description: 'Generate a comprehensive political landscape overview of the European Parliament — group sizes, seat shares, coalition dynamics, bloc analysis, and power balance. Single-call situational awareness for strategic intelligence.',
      inputSchema: {
        type: 'object' as const,
        properties: {
          dateFrom: {
            type: 'string',
            description: 'Start date (YYYY-MM-DD)'
          },
          dateTo: {
            type: 'string',
            description: 'End date (YYYY-MM-DD)'
          }
        },
        required: []
      }
    };