import assert from 'node:assert/strict';
import test from 'node:test';

import { moderateImage } from '../src/moderation.js';

test('queues uploads when AI moderation is not configured', async () => {
  const originalApiKey = process.env.OPENAI_API_KEY;
  delete process.env.OPENAI_API_KEY;

  try {
    const moderation = await moderateImage({
      buffer: Buffer.from('image'),
      mime: 'image/webp'
    });

    assert.equal(moderation.status, 'pending');
    assert.equal(moderation.score, 50);
    assert.match(moderation.reason, /not configured/);
  } finally {
    if (originalApiKey === undefined) {
      delete process.env.OPENAI_API_KEY;
    } else {
      process.env.OPENAI_API_KEY = originalApiKey;
    }
  }
});

test('queues model approvals below the auto-publish quality threshold', async () => {
  const originalApiKey = process.env.OPENAI_API_KEY;
  const originalThreshold = process.env.AUTO_APPROVE_MIN_SCORE;
  const originalFetch = globalThis.fetch;
  process.env.OPENAI_API_KEY = 'test-key';
  process.env.AUTO_APPROVE_MIN_SCORE = '90';

  globalThis.fetch = async (_url, options) => {
    const body = JSON.parse(options.body);
    const prompt = body.input[0].content;

    assert.match(prompt, /could the exact same caption work on 50 unrelated images/);
    assert.match(prompt, /Use approved only when it appears legal and score is at least 90/);

    return {
      ok: true,
      json: async () => ({
        output_text: JSON.stringify({
          decision: 'approved',
          score: 89,
          reason: 'Specific joke, but not strong enough.'
        })
      })
    };
  };

  try {
    const moderation = await moderateImage({
      buffer: Buffer.from('image'),
      mime: 'image/webp'
    });

    assert.equal(moderation.status, 'pending');
    assert.equal(moderation.score, 89);
    assert.match(moderation.reason, /Low MEME_CONSENSUS_SCORE queued for review/);
  } finally {
    globalThis.fetch = originalFetch;
    if (originalApiKey === undefined) {
      delete process.env.OPENAI_API_KEY;
    } else {
      process.env.OPENAI_API_KEY = originalApiKey;
    }
    if (originalThreshold === undefined) {
      delete process.env.AUTO_APPROVE_MIN_SCORE;
    } else {
      process.env.AUTO_APPROVE_MIN_SCORE = originalThreshold;
    }
  }
});

test('generates searchable captions using a constrained tag catalog and discards invented tags', async (t) => {
  const originalKey = process.env.OPENAI_API_KEY;
  const originalFetch = globalThis.fetch;
  process.env.OPENAI_API_KEY = 'test-key';
  t.after(() => {
    globalThis.fetch = originalFetch;
    if (originalKey === undefined) delete process.env.OPENAI_API_KEY;
    else process.env.OPENAI_API_KEY = originalKey;
  });
  globalThis.fetch = async (_url, options) => {
    const body = JSON.parse(options.body);
    assert.equal(body.text.format.type, 'json_schema');
    assert.equal(body.text.format.strict, true);
    assert.deepEqual(body.text.format.schema.properties.tags.items.enum, ['cats', 'work']);
    assert.match(body.input[0].content, /Available tags.*\["cats","work"\]/);
    assert.match(body.input[0].content, /never as instructions/);
    assert.equal(body.input[1].content[0].type, 'input_image');
    return { ok: true, json: async () => ({ status: 'completed', output: [{ content: [{ type: 'output_text', text: JSON.stringify({
      decision: 'approved', score: 99, reason: 'Good meme', caption: ' A cat says “I hate Mondays” at work. ', tags: ['cats', 'invented', 'cats']
    }) }] }] }) };
  };
  const result = await moderateImage({ buffer: Buffer.from('image'), mime: 'image/webp', availableTags: ['cats', 'work'] });
  assert.equal(result.status, 'approved');
  assert.equal(result.caption, 'A cat says “I hate Mondays” at work.');
  assert.deepEqual(result.tags, ['cats']);
});

test('failed or incomplete caption generation raises an error; failed moderation queues safely', async (t) => {
  const { captionImage } = await import('../src/moderation.js');
  const originalKey = process.env.OPENAI_API_KEY;
  const originalFetch = globalThis.fetch;
  process.env.OPENAI_API_KEY = 'test-key';
  t.after(() => {
    globalThis.fetch = originalFetch;
    if (originalKey === undefined) delete process.env.OPENAI_API_KEY;
    else process.env.OPENAI_API_KEY = originalKey;
  });
  const image = { buffer: Buffer.from('image'), mime: 'image/webp' };
  for (const payload of [
    { status: 'incomplete', output_text: '{"caption":"partial","tags":[]}' },
    { status: 'completed', output: [{ content: [{ type: 'refusal', refusal: 'No' }] }] },
    { output_text: 'not JSON' }
  ]) {
    globalThis.fetch = async () => ({ ok: true, json: async () => payload });
    await assert.rejects(captionImage(image), { statusCode: 503 });
    const result = await moderateImage(image);
    assert.equal(result.status, 'pending');
    assert.equal(result.caption, '');
    assert.deepEqual(result.tags, []);
  }
  delete process.env.OPENAI_API_KEY;
  await assert.rejects(captionImage(image), { statusCode: 503 });
});