import { describe, expect, it } from 'vitest';
import { aiOverviewResultValidationErrors, aiOverviewScopeKey, normalizeAiOverviewScope } from '../../src/domain/ai-overview';
import { generateAiOverview, splitPrivacySafeInput, type PrivacySafeInput } from '../../server/ai/ai-overview-service';
import { validAiOverviewResult } from '../fixtures/ai-overview';

describe('AI overview contract', () => {
  it('normalizes timeslot identity deterministically', () => {
    const scope = normalizeAiOverviewScope({ assessmentIds: ['b', 'a', 'a'], scanRunIds: ['2', '1'] });
    expect(scope).toEqual({ assessmentIds: ['a', 'b'], scanRunIds: ['1', '2'] });
    expect(aiOverviewScopeKey('project', scope)).toBe('project::assessments::a|b::scan-runs::1|2');
  });

  it('rejects invented source IDs and malformed roadmap phases', () => {
    const result = validAiOverviewResult();
    result.roadmap[2].phase = 4;
    expect(aiOverviewResultValidationErrors(result, new Set(['OTHER']), new Set(['RULE-GAP'])))
      .toEqual(expect.arrayContaining([expect.stringContaining('unknown source rule ID'), expect.stringContaining('roadmap[2].phase')]));
  });

  it('rejects direct identifiers returned by the model', () => {
    const result = validAiOverviewResult();
    result.executiveSummary = 'Contact admin@example.test at 192.0.2.10.';
    expect(aiOverviewResultValidationErrors(result)).toContain('AI overview output contains an email address or IP address.');
  });

  it('splits only between complete privacy-safe array entries', () => {
    const input: PrivacySafeInput = {
      schemaVersion: 1, summary: { totalResults: 2 },
      findings: [
        { id: 'RULE-1', title: 'A'.repeat(120), outcome: 'fail' },
        { id: 'RULE-2', title: 'B'.repeat(120), outcome: 'fail' }
      ],
      notRunChecks: [], environmentFacts: []
    };
    const chunks = splitPrivacySafeInput(input, 350);
    expect(chunks).toHaveLength(2);
    expect(chunks.flatMap(chunk => chunk.findings).map(item => item.id)).toEqual(['RULE-1', 'RULE-2']);
    expect(chunks.every(chunk => JSON.stringify(chunk).length <= 350)).toBe(true);
  });

  it('gives every chunk and the consolidation call the complete environment facts', async () => {
    const environmentFacts = [
      { title: 'Domain controller count', property: 'domain.controller_count', value: 2, tool: 'pingcastle' },
      { title: 'User accounts', property: 'user.account_count', value: 120, tool: 'pingcastle' }
    ];
    const input: PrivacySafeInput = {
      schemaVersion: 1, summary: { totalResults: 4 },
      findings: [1, 2, 3].map(index => ({ id: 'RULE-1', title: String(index).repeat(4000), outcome: 'fail' })),
      notRunChecks: [], environmentFacts
    };
    const chunks = splitPrivacySafeInput(input, 10_000);
    expect(chunks.length).toBeGreaterThan(1);
    expect(chunks.every(chunk => JSON.stringify(chunk.environmentFacts) === JSON.stringify(environmentFacts))).toBe(true);
    expect(chunks.flatMap(chunk => chunk.findings)).toHaveLength(3);

    const payloads: Array<Record<string, unknown>> = [];
    await generateAiOverview(input, {
      client: { model: 'synthetic', complete: async (_prompt: string, value: string) => { payloads.push(JSON.parse(value)); return { value: validAiOverviewResult() }; } },
      maximumChunkCharacters: 10_000, maximumCalls: 10,
      findingIds: new Set(['RULE-1']), gapIds: new Set(['RULE-GAP']),
      factProperties: new Set(environmentFacts.map(fact => fact.property)),
      onCall: async () => {}
    });
    expect(payloads.length).toBe(chunks.length + 1);
    expect(payloads.every(payload => JSON.stringify(payload.environmentFacts) === JSON.stringify(environmentFacts))).toBe(true);
    expect(payloads.at(-1)).toHaveProperty('partialAnalyses');
  });
});