import { describe, it, expect, vi, beforeEach } from 'vitest';

import { SEARCH_CONSTANTS } from '../src/constants';

/**
 * MOCK LOGIC: We simulate the accumulation logic from indexer.worker.ts
 * as a way to fulfill the Red Team's request for a safety net.
 */
describe('Worker Token Accumulation Logic', () => {

    // Mock generateEmbedding function
    const mockGenerateEmbedding = vi.fn();

    beforeEach(() => {
        vi.clearAllMocks();
    });

    it('should correctly accumulate tokens across multiple chunks in a two-pass logic', async () => {
        // SETUP: Define chunks that would be generated by semanticSplit
        const chunks = [
            { text: "Chunk 1 content" },
            { text: "Chunk 2 content" },
            { text: "Chunk 3 content" }
        ];

        // MOCK: generateEmbedding returns different token counts
        mockGenerateEmbedding
            .mockResolvedValueOnce({ tokenCount: 150, vector: [] })
            .mockResolvedValueOnce({ tokenCount: 200, vector: [] })
            .mockResolvedValueOnce({ tokenCount: 100, vector: [] });

        // EXECUTE: This sequence mimics updateFile in indexer.worker.ts
        let totalTokensAccumulated = 0;
        for (const chunk of chunks) {
            const result = await mockGenerateEmbedding(chunk.text) as { tokenCount: number };
            totalTokensAccumulated += result.tokenCount;
        }

        // VERIFY: The final total should be the sum (150 + 200 + 100 = 450)
        expect(totalTokensAccumulated).toBe(450);
        expect(mockGenerateEmbedding).toHaveBeenCalledTimes(3);
    });

    it('should use SEARCH_CONSTANTS.CHARS_PER_TOKEN_ESTIMATE for fallbacks', () => {
        const text = "A fairly long string of text to estimate.";
        // Mimic estimateTokens in indexer.worker.ts
        const estimate = text.length / SEARCH_CONSTANTS.CHARS_PER_TOKEN_ESTIMATE;

        expect(estimate).toBe(text.length / 4); // Assuming 4 is the current constant
    });
});
