import { describe, expect, test } from 'vitest';
import {
  DatasetNotFoundError,
  escapeVegaField,
  prepareSpecForRender,
  type ResolvableDataset,
} from './rendering';

describe('prepareSpecForRender', () => {
  test('returns a deep copy, never the same reference', () => {
    const spec = { mark: 'bar', encoding: { x: { field: 'a' } } };
    const out = prepareSpecForRender(spec);
    expect(out).not.toBe(spec);
    expect(out.encoding).not.toBe(spec.encoding);
    expect(out).toEqual(spec);
  });

  test('never mutates the input spec (copy-not-mutate invariant)', () => {
    const spec = {
      data: { values: [{ a: 1 }] },
      mark: 'bar',
      width: 200,
      height: 100,
      encoding: { x: { field: 'a', type: 'quantitative' } },
    };
    const before = structuredClone(spec);
    // A mode that both sets and removes sizing — the most invasive transform.
    prepareSpecForRender(spec, { fitMode: 'width' });
    expect(spec).toEqual(before);
  });

  test('Original (default) leaves sizing untouched', () => {
    const spec = { $schema: 'x', mark: 'line', width: 200, height: 100 };
    expect(prepareSpecForRender(spec)).toEqual(spec);
    expect(prepareSpecForRender(spec, { fitMode: 'default' })).toEqual(spec);
  });
});

describe('prepareSpecForRender — fit modes (spec §04 Rendering Contract step 2)', () => {
  const base = { mark: 'bar', width: 200, height: 100 };

  test('Width: width→container, height removed', () => {
    const out = prepareSpecForRender(base, { fitMode: 'width' }) as Record<string, unknown>;
    expect(out.width).toBe('container');
    expect('height' in out).toBe(false);
  });

  test('Height: height→container, width removed', () => {
    const out = prepareSpecForRender(base, { fitMode: 'height' }) as Record<string, unknown>;
    expect(out.height).toBe('container');
    expect('width' in out).toBe(false);
  });

  test('Full: both dimensions→container', () => {
    const out = prepareSpecForRender(base, { fitMode: 'full' }) as Record<string, unknown>;
    expect(out.width).toBe('container');
    expect(out.height).toBe('container');
  });

  test('adds container sizing even when the spec declares no width/height', () => {
    const out = prepareSpecForRender({ mark: 'point' }, { fitMode: 'full' }) as Record<
      string,
      unknown
    >;
    expect(out).toEqual({ mark: 'point', width: 'container', height: 'container' });
  });

  test('recurses into layered sub-specs', () => {
    const spec = {
      layer: [
        { mark: 'bar', width: 50, height: 50 },
        { mark: 'line', height: 50 },
      ],
    };
    const out = prepareSpecForRender(spec, { fitMode: 'full' }) as unknown as {
      width: string;
      height: string;
      layer: Array<Record<string, unknown>>;
    };
    expect(out.width).toBe('container');
    expect(out.height).toBe('container');
    expect(out.layer[0]).toMatchObject({ width: 'container', height: 'container' });
    expect(out.layer[1]).toMatchObject({ width: 'container', height: 'container' });
  });

  test('recurses into concat arrays and a child spec (facet/repeat)', () => {
    const spec = {
      facet: { field: 'g', type: 'nominal' },
      spec: {
        hconcat: [{ mark: 'bar', height: 80 }, { mark: 'point' }],
      },
    };
    const out = prepareSpecForRender(spec, { fitMode: 'width' }) as unknown as {
      spec: { hconcat: Array<Record<string, unknown>> };
    };
    for (const child of out.spec.hconcat) {
      expect(child.width).toBe('container');
      expect('height' in child).toBe(false);
    }
  });
});

describe('prepareSpecForRender — dataset resolution (spec §04 Rendering Contract step 1)', () => {
  const datasets: ResolvableDataset[] = [
    { name: 'JsonDs', data: [{ a: 1 }], format: 'json', source: 'inline' },
    { name: 'CsvDs', data: 'a,b\n1,2', format: 'csv', source: 'inline' },
    { name: 'TsvDs', data: 'a\tb\n1\t2', format: 'tsv', source: 'inline' },
    {
      name: 'TopoDs',
      data: { type: 'Topology', objects: {} },
      format: 'topojson',
      source: 'inline',
    },
    // A fetched URL snapshot carries its payload in `data` (like inline); an
    // unfetched reference has `data: null` and only its `url`.
    {
      name: 'UrlFetchedDs',
      data: 'a,b\n1,2',
      url: 'https://x/y.csv',
      format: 'csv',
      source: 'url',
    },
    { name: 'UrlUnfetchedDs', data: null, url: 'https://x/y.csv', format: 'csv', source: 'url' },
  ];

  test('inline JSON → values inlined', () => {
    const out = prepareSpecForRender({ data: { name: 'JsonDs' }, mark: 'bar' }, { datasets });
    expect(out.data).toEqual({ values: [{ a: 1 }] });
  });

  test('inline CSV → raw text inlined, tagged csv', () => {
    const out = prepareSpecForRender({ data: { name: 'CsvDs' } }, { datasets });
    expect(out.data).toEqual({ values: 'a,b\n1,2', format: { type: 'csv' } });
  });

  test('inline TSV → raw text inlined, tagged tsv', () => {
    const out = prepareSpecForRender({ data: { name: 'TsvDs' } }, { datasets });
    expect(out.data).toEqual({ values: 'a\tb\n1\t2', format: { type: 'tsv' } });
  });

  test('inline TopoJSON → value inlined, tagged topojson (preserving feature)', () => {
    const out = prepareSpecForRender(
      { data: { name: 'TopoDs', format: { feature: 'counties' } } },
      { datasets },
    );
    expect(out.data).toEqual({
      values: { type: 'Topology', objects: {} },
      format: { feature: 'counties', type: 'topojson' },
    });
  });

  test('fetched URL snapshot → its payload inlined, tagged with the format (like inline)', () => {
    const out = prepareSpecForRender({ data: { name: 'UrlFetchedDs' } }, { datasets });
    expect(out.data).toEqual({ values: 'a,b\n1,2', format: { type: 'csv' } });
  });

  test('unfetched URL reference → live url fallback tagged with the format', () => {
    const out = prepareSpecForRender({ data: { name: 'UrlUnfetchedDs' } }, { datasets });
    expect(out.data).toEqual({ url: 'https://x/y.csv', format: { type: 'csv' } });
  });

  test('resolves references in nested layer / concat / child sub-specs', () => {
    const spec = {
      layer: [{ data: { name: 'JsonDs' } }],
      spec: { hconcat: [{ data: { name: 'CsvDs' } }] },
    };
    const out = prepareSpecForRender(spec, { datasets }) as unknown as {
      layer: Array<{ data: unknown }>;
      spec: { hconcat: Array<{ data: unknown }> };
    };
    expect(out.layer[0].data).toEqual({ values: [{ a: 1 }] });
    expect(out.spec.hconcat[0].data).toEqual({ values: 'a,b\n1,2', format: { type: 'csv' } });
  });

  test('matches dataset names case-insensitively', () => {
    const out = prepareSpecForRender({ data: { name: 'jsonds' } }, { datasets });
    expect(out.data).toEqual({ values: [{ a: 1 }] });
  });

  test('throws DatasetNotFoundError naming the missing dataset', () => {
    expect(() => prepareSpecForRender({ data: { name: 'Missing' } }, { datasets })).toThrow(
      DatasetNotFoundError,
    );
    expect(() => prepareSpecForRender({ data: { name: 'Missing' } }, { datasets })).toThrow(
      /Missing/,
    );
  });

  test('a library reference with no datasets provided is still not-found', () => {
    expect(() => prepareSpecForRender({ data: { name: 'Anything' } })).toThrow(
      DatasetNotFoundError,
    );
  });

  test('a spec with no named refs passes through untouched even with no datasets', () => {
    const spec = { data: { values: [{ a: 1 }] }, mark: 'bar' };
    expect(prepareSpecForRender(spec)).toEqual(spec);
  });

  test('a self-defined top-level datasets name is left untouched and does not throw', () => {
    const spec = { datasets: { local: [{ a: 1 }] }, data: { name: 'local' }, mark: 'bar' };
    const out = prepareSpecForRender(spec, { datasets });
    expect(out.data).toEqual({ name: 'local' });
  });

  test('resolution runs before fit-mode: a ref + fit mode produce both transforms', () => {
    const spec = { data: { name: 'JsonDs' }, mark: 'bar' };
    const out = prepareSpecForRender(spec, { datasets, fitMode: 'full' }) as unknown as {
      data: unknown;
      width: string;
      height: string;
    };
    expect(out.data).toEqual({ values: [{ a: 1 }] });
    expect(out.width).toBe('container');
    expect(out.height).toBe('container');
  });

  test('copy-not-mutate: the input spec is untouched during resolution', () => {
    const spec = { data: { name: 'JsonDs' }, mark: 'bar' };
    const before = structuredClone(spec);
    prepareSpecForRender(spec, { datasets });
    expect(spec).toEqual(before);
  });

  test('preserves pre-existing reference keys other than name', () => {
    const out = prepareSpecForRender({ data: { name: 'JsonDs', foo: 1 } }, { datasets }) as {
      data: Record<string, unknown>;
    };
    expect(out.data).toEqual({ values: [{ a: 1 }], foo: 1 });
  });

  test('a "data" field buried in inline rows is not resolved and does not throw', () => {
    // The inline rows carry a column named `data` whose value looks like a
    // reference object. It is payload; resolution must not descend into it.
    const spec = { data: { values: [{ data: { name: 'Missing' } }] }, mark: 'bar' };
    const out = prepareSpecForRender(spec, { datasets }) as { data: { values: unknown[] } };
    expect(out.data.values).toEqual([{ data: { name: 'Missing' } }]);
  });

  test('resolves a reference inside a lookup transform (from.data)', () => {
    const spec = {
      data: { name: 'JsonDs' },
      transform: [{ lookup: 'id', from: { data: { name: 'CsvDs' }, key: 'id', fields: ['x'] } }],
    };
    const out = prepareSpecForRender(spec, { datasets }) as unknown as {
      transform: Array<{ from: { data: unknown } }>;
    };
    expect(out.transform[0].from.data).toEqual({ values: 'a,b\n1,2', format: { type: 'csv' } });
  });
});

describe('escapeVegaField', () => {
  test('escapes dots and brackets that VL treats as accessors', () => {
    expect(escapeVegaField('user.age')).toBe('user\\.age');
    expect(escapeVegaField('a[0]')).toBe('a\\[0\\]');
  });

  test('leaves plain field names untouched', () => {
    expect(escapeVegaField('category')).toBe('category');
  });
});