from core import ai_fetch class _FakeMessage: def __init__(self, content, annotations=None): self.content = content self.annotations = annotations class _FakeChoice: def __init__(self, message): self.message = message class _FakeResponse: def __init__(self, message): self.choices = [_FakeChoice(message)] def test_fetch_with_ai_returns_result_when_content_sufficient(monkeypatch): class _FakeClient: class chat: class completions: @staticmethod def create(**kwargs): return _FakeResponse(_FakeMessage('x' * 400)) monkeypatch.setattr(ai_fetch, 'OpenAI', lambda api_key, base_url: _FakeClient()) result = ai_fetch.fetch_with_ai('https://intrepidtravel.com/peru') assert result['success'] is True assert result['char_count'] == 400 def test_fetch_with_ai_returns_none_when_content_too_short(monkeypatch): class _FakeClient: class chat: class completions: @staticmethod def create(**kwargs): return _FakeResponse(_FakeMessage('too short')) monkeypatch.setattr(ai_fetch, 'OpenAI', lambda api_key, base_url: _FakeClient()) assert ai_fetch.fetch_with_ai('https://intrepidtravel.com/peru') is None def test_fetch_with_ai_returns_none_on_exception(monkeypatch): class _FakeClient: class chat: class completions: @staticmethod def create(**kwargs): raise Exception('api down') monkeypatch.setattr(ai_fetch, 'OpenAI', lambda api_key, base_url: _FakeClient()) assert ai_fetch.fetch_with_ai('https://intrepidtravel.com/peru') is None def test_fetch_with_ai_appends_citation_content(monkeypatch): citation = type('Citation', (), {'content': 'extra citation text'})() annotation = type('Annotation', (), {'url_citation': citation})() class _FakeClient: class chat: class completions: @staticmethod def create(**kwargs): return _FakeResponse(_FakeMessage('x' * 350, annotations=[annotation])) monkeypatch.setattr(ai_fetch, 'OpenAI', lambda api_key, base_url: _FakeClient()) result = ai_fetch.fetch_with_ai('https://intrepidtravel.com/peru') assert 'extra citation text' in result['text']