import { extractValue } from '../src/lib/dataExport';
import { listExportableParams } from '../src/lib/dataExport';

const status = {
  vitals: 'ok',
  custom_fields: { 'f-weight': 250 },
  analysis_summary: { total: 12, success_rate: 0.83, counts: { Success: 10, Failure: 2 } },
};

describe('extractValue', () => {
  it('reads a builtin field via statusKey', () => {
    expect(extractValue(status, { kind: 'builtin', statusKey: 'vitals' })).toBe('ok');
  });
  it('reads a custom field via fieldId', () => {
    expect(extractValue(status, { kind: 'custom', fieldId: 'f-weight' })).toBe(250);
  });
  it('reads session-metric total', () => {
    expect(extractValue(status, { kind: 'total' })).toBe(12);
  });
  it('reads session-metric success_rate as a raw 0-1 fraction', () => {
    expect(extractValue(status, { kind: 'success_rate' })).toBe(0.83);
  });
  it('reads a dynamic count category', () => {
    expect(extractValue(status, { kind: 'category', category: 'Failure' })).toBe(2);
  });
  it('returns null when analysis_summary is absent', () => {
    expect(extractValue({ custom_fields: {} }, { kind: 'total' })).toBeNull();
    expect(extractValue({}, { kind: 'category', category: 'Success' })).toBeNull();
  });
  it('returns null for a missing custom field', () => {
    expect(extractValue({ custom_fields: {} }, { kind: 'custom', fieldId: 'nope' })).toBeNull();
    expect(extractValue({}, { kind: 'builtin', statusKey: 'notes' })).toBeNull();
  });
});

const dailyTemplate = [
  { fieldId: 'b-vitals', key: 'vitals', label: 'Vitals', builtin: true, active: true },
  { fieldId: 'c-weight', key: 'weight', label: 'Weight (g)', builtin: false, active: false },
];
const statuses = [
  { analysis_summary: { counts: { Success: 1, Failure: 0 } } },
  { analysis_summary: { counts: { Success: 2, Other: 1 } } },
  { analysis_summary: null },
];

describe('listExportableParams', () => {
  const params = listExportableParams(dailyTemplate, statuses);
  it('starts with the two fixed session metrics', () => {
    expect(params.slice(0, 2)).toEqual([
      expect.objectContaining({ id: '__total__', label: 'Total attempts', group: 'metrics', kind: 'total' }),
      expect.objectContaining({ id: '__success_rate__', label: 'Success rate', group: 'metrics', kind: 'success_rate' }),
    ]);
  });
  it('adds one metrics entry per dynamic count category, sorted', () => {
    const cats = params.filter((p) => p.kind === 'category').map((p) => p.label);
    expect(cats).toEqual(['Failure', 'Other', 'Success']);
  });
  it('includes every template field (incl. inactive) in the daily group', () => {
    const daily = params.filter((p) => p.group === 'daily');
    expect(daily).toEqual([
      expect.objectContaining({ label: 'Vitals', kind: 'builtin', statusKey: 'vitals' }),
      expect.objectContaining({ label: 'Weight (g)', kind: 'custom', fieldId: 'c-weight' }),
    ]);
  });
  it('gives every param a unique id', () => {
    const ids = params.map((p) => p.id);
    expect(new Set(ids).size).toBe(ids.length);
  });
  it('tolerates empty/missing inputs', () => {
    expect(listExportableParams(undefined, undefined).length).toBe(2); // just the two fixed metrics
  });
});

import { buildMatrix } from '../src/lib/dataExport';

const animals = [
  { id: 'a2', animal_name: 'Beta', animal_id_string: 'R-002' },
  { id: 'a1', animal_name: 'Alpha', animal_id_string: 'R-001' },
];
const totalParam = { kind: 'total' };

describe('buildMatrix', () => {
  it('orders columns by animal_name and rows by date ascending', () => {
    const statuses = [
      { animal_id: 'a1', date: '2026-07-02T00:00:00.000Z', analysis_summary: { total: 5 } },
      { animal_id: 'a2', date: '2026-07-01T00:00:00.000Z', analysis_summary: { total: 9 } },
    ];
    const m = buildMatrix(statuses, animals, totalParam);
    expect(m.columns.map((c) => c.header)).toEqual(['Alpha', 'Beta']);
    expect(m.rows.map((r) => r.date)).toEqual(['2026-07-01', '2026-07-02']);
    // Row for 07-01: Alpha blank, Beta 9
    expect(m.rows[0].values).toEqual(['', 9]);
    // Row for 07-02: Alpha 5, Beta blank
    expect(m.rows[1].values).toEqual([5, '']);
  });
  it('includes only dates that have at least one value (0 counts as a value)', () => {
    const statuses = [
      { animal_id: 'a1', date: '2026-07-01T00:00:00.000Z', analysis_summary: { total: 0 } },
      { animal_id: 'a1', date: '2026-07-03T00:00:00.000Z', analysis_summary: null }, // no value
    ];
    const m = buildMatrix(statuses, animals, totalParam);
    expect(m.rows.map((r) => r.date)).toEqual(['2026-07-01']);
    expect(m.rows[0].values).toEqual([0, '']);
  });
  it('disambiguates duplicate animal names with the id string', () => {
    const dupAnimals = [
      { id: 'a1', animal_name: 'Rat', animal_id_string: 'R-001' },
      { id: 'a2', animal_name: 'Rat', animal_id_string: 'R-002' },
    ];
    const statuses = [{ animal_id: 'a1', date: '2026-07-01T00:00:00.000Z', analysis_summary: { total: 1 } }];
    const m = buildMatrix(statuses, dupAnimals, totalParam);
    expect(m.columns.map((c) => c.header)).toEqual(['Rat (R-001)', 'Rat (R-002)']);
  });
  it('keeps the first status when a subject has duplicates on one date', () => {
    const statuses = [
      { animal_id: 'a1', date: '2026-07-01T00:00:00.000Z', analysis_summary: { total: 7 } },
      { animal_id: 'a1', date: '2026-07-01T00:00:00.000Z', analysis_summary: { total: 99 } },
    ];
    const m = buildMatrix(statuses, animals, totalParam);
    expect(m.rows[0].values).toEqual([7, '']);
  });
  it('returns empty rows when no status has a value', () => {
    const m = buildMatrix([{ animal_id: 'a1', date: '2026-07-01T00:00:00.000Z', analysis_summary: null }], animals, totalParam);
    expect(m.rows).toEqual([]);
    expect(m.columns.length).toBe(2);
  });
});

import { toCSV, csvFilename } from '../src/lib/dataExport';

describe('toCSV', () => {
  it('writes a header row of Date + column headers, then data rows', () => {
    const matrix = {
      columns: [{ id: 'a1', header: 'Alpha' }, { id: 'a2', header: 'Beta' }],
      rows: [{ date: '2026-07-01', values: [5, ''] }, { date: '2026-07-02', values: ['', 9] }],
    };
    expect(toCSV(matrix)).toBe('Date,Alpha,Beta\n2026-07-01,5,\n2026-07-02,,9');
  });
  it('escapes commas, quotes, and newlines per RFC 4180', () => {
    const matrix = {
      columns: [{ id: 'a1', header: 'Note, field' }],
      rows: [{ date: '2026-07-01', values: ['he said "hi"'] }, { date: '2026-07-02', values: ['line1\nline2'] }],
    };
    expect(toCSV(matrix)).toBe(
      'Date,"Note, field"\n2026-07-01,"he said ""hi"""\n2026-07-02,"line1\nline2"',
    );
  });
});

describe('csvFilename', () => {
  it('slugifies the experiment title and parameter label', () => {
    expect(csvFilename('My Study #1', 'Success rate')).toBe('My-Study-1-Success-rate.csv');
  });
  it('falls back to "export" when both slugs are empty', () => {
    expect(csvFilename('', '')).toBe('export.csv');
  });
});

import {
  EXPORT_DIMENSIONS, dimLabel, otherDimension, subjectGroupValue,
  listDateMembers, buildStatusIndex,
} from '../src/lib/dataExport';

describe('dimension primitives', () => {
  it('exposes the three dimensions with labels', () => {
    expect(EXPORT_DIMENSIONS.map((d) => d.dim)).toEqual(['date', 'subject', 'parameter']);
    expect(dimLabel('date')).toBe('Date');
    expect(dimLabel('subject')).toBe('Subject');
    expect(dimLabel('parameter')).toBe('Parameter');
  });
  it('otherDimension returns the leftover', () => {
    expect(otherDimension('date', 'subject')).toBe('parameter');
    expect(otherDimension('parameter', 'date')).toBe('subject');
  });
});

describe('subjectGroupValue', () => {
  const animal = { animal_name: 'Alpha', animal_id_string: 'R-001', subject_info: { sex: 'M', cohort: '' } };
  it('returns null when no group field', () => {
    expect(subjectGroupValue(animal, '__none__')).toBeNull();
    expect(subjectGroupValue(animal, '')).toBeNull();
  });
  it('resolves name / id / subject_info fields', () => {
    expect(subjectGroupValue(animal, '__name__')).toBe('Alpha');
    expect(subjectGroupValue(animal, '__id__')).toBe('R-001');
    expect(subjectGroupValue(animal, 'sex')).toBe('M');
  });
  it('renders missing or empty values as an em dash', () => {
    expect(subjectGroupValue(animal, 'cohort')).toBe('—');
    expect(subjectGroupValue({}, 'sex')).toBe('—');
  });
});

describe('listDateMembers', () => {
  it('returns sorted unique dateKeys with id/label', () => {
    const statuses = [
      { date: '2026-07-02T00:00:00.000Z' },
      { date: '2026-07-01T12:00:00.000Z' },
      { date: '2026-07-02T09:00:00.000Z' },
    ];
    expect(listDateMembers(statuses)).toEqual([
      { id: '2026-07-01', label: '2026-07-01', dateKey: '2026-07-01' },
      { id: '2026-07-02', label: '2026-07-02', dateKey: '2026-07-02' },
    ]);
  });
  it('tolerates empty input', () => {
    expect(listDateMembers(undefined)).toEqual([]);
  });
});

describe('buildStatusIndex', () => {
  it('indexes by dateKey then animalId, first status wins', () => {
    const statuses = [
      { animal_id: 'a1', date: '2026-07-01T00:00:00.000Z', analysis_summary: { total: 7 } },
      { animal_id: 'a1', date: '2026-07-01T06:00:00.000Z', analysis_summary: { total: 99 } },
      { animal_id: 'a2', date: '2026-07-01T00:00:00.000Z', analysis_summary: { total: 3 } },
    ];
    const idx = buildStatusIndex(statuses);
    expect(idx.get('2026-07-01').get('a1').analysis_summary.total).toBe(7);
    expect(idx.get('2026-07-01').get('a2').analysis_summary.total).toBe(3);
  });
});