import { describe, expect, it } from 'vitest';
import {
  estimateImportedModelVisionTokens,
  getImportedModelProfile,
} from '../../shared/imported-model-profile';
import {
  getKnownModelCapabilityKind,
  getModelCapabilityLabel,
  isKnownImageInputModelId,
} from '../../shared/model-capabilities';

describe('getImportedModelProfile', () => {
  it.each([
    'qwen3.6-plus',
    'qwen3.6-plus-2026-04-02',
  ])('returns verified limits and hybrid-thinking support for %s', (modelId) => {
    expect(getImportedModelProfile(modelId)).toEqual({
      modalities: {
        input: ['text', 'image'],
        output: ['text'],
      },
      limit: {
        context: 1_000_000,
        output: 65_536,
      },
      visionTokenEstimator: 'qwen-32px-grid',
      pi: {
        reasoning: true,
        thinkingLevelMap: {
          minimal: null,
          low: null,
          medium: null,
          high: 'high',
        },
        compat: {
          thinkingFormat: 'qwen',
          supportsDeveloperRole: false,
          supportsReasoningEffort: false,
          supportsStore: false,
        },
      },
    });
  });

  it.each([
    'qwen3.7-plus',
    'qwen3.7-plus-2026-05-26',
  ])('returns verified limits for %s without guessing its Pi reasoning map', (modelId) => {
    expect(getImportedModelProfile(modelId)).toEqual({
      modalities: {
        input: ['text', 'image'],
        output: ['text'],
      },
      limit: {
        context: 1_000_000,
        output: 65_536,
      },
      visionTokenEstimator: 'qwen-32px-grid',
    });
  });

  it('returns the verified Qwen3.8 Max Pi reasoning levels', () => {
    expect(getImportedModelProfile('qwen3.8-max')).toEqual({
      modalities: {
        input: ['text', 'image'],
        output: ['text'],
      },
      limit: {
        context: 1_000_000,
        output: 131_072,
      },
      pi: {
        reasoning: true,
        thinkingLevelMap: {
          minimal: null,
          low: 'low',
          medium: 'medium',
          high: 'xhigh',
        },
        compat: {
          thinkingFormat: 'qwen',
          supportsDeveloperRole: false,
          supportsReasoningEffort: true,
          supportsStore: false,
        },
      },
    });
  });

  it.each(['qwen-vl-max', 'qwen2.5-vl-72b-instruct', 'qwen-omni-turbo'])(
    'keeps image modalities without guessed limits for %s',
    (modelId) => {
      const profile = getImportedModelProfile(modelId);
      expect(profile?.modalities.input).toEqual(['text', 'image']);
      expect(profile).not.toHaveProperty('limit');
      expect(profile).not.toHaveProperty('visionTokenEstimator');
    },
  );

  it.each([
    'qwen3.8-plus',
    'qwen3.7-plus-latest',
    'qwen3.7-plus-2026-06-15',
    'qwen3.6-plus-2026-04-03',
    'qwen3.7-plus-2026-99-99',
    'deepseek-chat',
    '',
  ])('does not guess metadata for %s', (modelId) => {
    expect(getImportedModelProfile(modelId)).toBeNull();
  });

  it('estimates only profiles with the verified Qwen grid formula', () => {
    expect(estimateImportedModelVisionTokens('qwen3.7-plus', 1930, 1086)).toBe(2049);
    expect(estimateImportedModelVisionTokens('qwen-vl-max', 1930, 1086)).toBeNull();
  });

  it('keeps the legacy capability helpers delegated to the same profile', () => {
    expect(isKnownImageInputModelId('qwen3.7-plus')).toBe(true);
    expect(isKnownImageInputModelId('deepseek-chat')).toBe(false);
    expect(getKnownModelCapabilityKind('qwen-vl-max')).toBe('multimodal');
    expect(getKnownModelCapabilityKind('deepseek-chat')).toBe('text');
    expect(getModelCapabilityLabel('multimodal')).toBe('多模态');
    expect(getModelCapabilityLabel('text')).toBe('文本');
  });
});