import type { Learner, Artifact, OralDefense, Microcredential } from '@nextcraft/types';

export const primaryLearner: Learner = {
  id: 'learner-001',
  name: 'Alex Rivera',
  email: 'alex.rivera@example.com',
  avatar: 'https://i.pravatar.cc/150?img=16',
  ageGroup: '18+',
  enrolledStacks: ['stack-orchestration', 'stack-safety'],
  progress: {
    'stack-orchestration': 62,
    'stack-safety': 41,
  },
};

export const learnerMicrocredentials: Microcredential[] = [
  { id: 'mc-001', competencyId: 'stack-orchestration-c001', issuedAt: '2026-07-12T00:00:00Z', verified: true, score: 94 },
  { id: 'mc-002', competencyId: 'stack-orchestration-c004', issuedAt: '2026-07-28T00:00:00Z', verified: true, score: 91 },
  { id: 'mc-003', competencyId: 'stack-orchestration-c006', issuedAt: '2026-08-04T00:00:00Z', verified: true, score: 88 },
  { id: 'mc-004', competencyId: 'stack-safety-c021', issuedAt: '2026-08-20T00:00:00Z', verified: true, score: 90 },
  { id: 'mc-005', competencyId: 'stack-orchestration-c003', issuedAt: null, verified: false, score: null },
];

export const learnerArtifacts: Artifact[] = [
  {
    id: 'art-001',
    name: 'Multi-agent research assistant',
    type: 'code',
    url: 'https://example.com/artifacts/research-assistant',
    description: 'A LangGraph-based assistant that plans, retrieves, and drafts cited literature reviews with an eval harness.',
    createdAt: '2026-08-22T14:30:00Z',
  },
  {
    id: 'art-002',
    name: 'RAG retrieval quality dashboard',
    type: 'code',
    url: 'https://example.com/artifacts/rag-dashboard',
    description: 'Streamlit dashboard comparing chunking strategies and rerankers across 800 evaluation queries.',
    createdAt: '2026-08-15T09:12:00Z',
  },
  {
    id: 'art-003',
    name: 'Model card for internal Q&A agent',
    type: 'document',
    url: 'https://example.com/artifacts/model-card',
    description: 'Capabilities, limitations, intended use, and red-team findings for a document-grounded Q&A agent.',
    createdAt: '2026-08-19T11:00:00Z',
  },
  {
    id: 'art-004',
    name: 'Prompt regression suite',
    type: 'code',
    url: 'https://example.com/artifacts/prompt-regression',
    description: 'Pytest-based suite of 320 prompt assertions with LLM-as-judge scoring and CI integration.',
    createdAt: '2026-08-08T16:45:00Z',
  },
  {
    id: 'art-005',
    name: 'Agent topology diagram',
    type: 'design',
    url: 'https://example.com/artifacts/topology',
    description: 'Architecture diagram for a plan-and-execute agent with reflection and tool-retrieval sub-graphs.',
    createdAt: '2026-07-30T10:20:00Z',
  },
];

export const upcomingDefenses: OralDefense[] = [
  {
    id: 'def-001',
    competencyId: 'stack-orchestration-c003',
    transcript: '',
    score: null,
    status: 'scheduled',
  },
  {
    id: 'def-002',
    competencyId: 'stack-orchestration-c008',
    transcript: '',
    score: null,
    status: 'scheduled',
  },
  {
    id: 'def-003',
    competencyId: 'stack-safety-c019',
    transcript: '',
    score: null,
    status: 'pending',
  },
];

export const learnerSummary = {
  enrolledStacks: primaryLearner.enrolledStacks.length,
  microcredentialsEarned: learnerMicrocredentials.filter((m) => m.verified).length,
  artifactsSubmitted: learnerArtifacts.length,
  upcomingDefenses: upcomingDefenses.filter((d) => d.status === 'scheduled').length,
  averageScore:
    learnerMicrocredentials
      .filter((m) => m.score !== null)
      .reduce((acc, m) => acc + (m.score ?? 0), 0) /
    Math.max(1, learnerMicrocredentials.filter((m) => m.score !== null).length),
};