Testing: - Add pytest configuration (pytest.ini) - Add test fixtures (tests/conftest.py) - Add ContentGenerator tests (13 tests) - Add ContentScheduler tests (16 tests) - Add PublisherManager tests (16 tests) - All 45 tests passing Production Docker: - Add docker-compose.prod.yml with healthchecks, resource limits - Add Dockerfile.prod with multi-stage build, non-root user - Add nginx.prod.conf with SSL, rate limiting, security headers - Add .env.prod.example template Maintenance Scripts: - Add backup.sh for database and media backups - Add restore.sh for database restoration - Add cleanup.sh for log rotation and Docker cleanup - Add healthcheck.sh with Telegram alerts Documentation: - Add DEPLOY.md with complete deployment guide Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
181 lines
6.8 KiB
Python
181 lines
6.8 KiB
Python
"""
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Tests for ContentGenerator service.
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"""
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import pytest
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from unittest.mock import MagicMock, patch, AsyncMock
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class TestContentGenerator:
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"""Tests for the ContentGenerator class."""
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@pytest.fixture
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def generator(self, mock_settings):
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"""Create a ContentGenerator instance with mocked client."""
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with patch('app.services.content_generator.OpenAI') as mock_openai:
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mock_client = MagicMock()
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mock_response = MagicMock()
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mock_response.choices = [MagicMock()]
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mock_response.choices[0].message.content = "Test content #AI #Tech"
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mock_client.chat.completions.create.return_value = mock_response
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mock_openai.return_value = mock_client
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from app.services.content_generator import ContentGenerator
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gen = ContentGenerator()
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gen._client = mock_client
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yield gen
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@pytest.mark.asyncio
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async def test_generate_tip_tech(self, generator):
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"""Test generating a tech tip."""
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result = await generator.generate_tip_tech(
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category="seguridad",
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platform="x"
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)
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assert result is not None
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assert len(result) > 0
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generator.client.chat.completions.create.assert_called_once()
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@pytest.mark.asyncio
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async def test_generate_tip_tech_with_template(self, generator):
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"""Test generating a tech tip with a template."""
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result = await generator.generate_tip_tech(
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category="productividad",
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platform="threads",
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template="Tip del día: {tip}"
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)
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assert result is not None
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call_args = generator.client.chat.completions.create.call_args
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assert "template" in str(call_args).lower() or "TEMPLATE" in str(call_args)
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@pytest.mark.asyncio
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async def test_generate_product_post(self, generator, sample_product):
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"""Test generating a product post."""
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result = await generator.generate_product_post(
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product=sample_product,
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platform="instagram"
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)
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assert result is not None
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call_args = generator.client.chat.completions.create.call_args
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messages = call_args.kwargs.get('messages', call_args[1].get('messages', []))
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# Verify product info was included in prompt
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user_message = messages[-1]['content']
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assert sample_product['name'] in user_message
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# Price is formatted with commas, check for the value
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assert "15,999" in user_message or "15999" in user_message
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@pytest.mark.asyncio
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async def test_generate_service_post(self, generator, sample_service):
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"""Test generating a service post."""
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result = await generator.generate_service_post(
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service=sample_service,
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platform="facebook"
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)
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assert result is not None
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call_args = generator.client.chat.completions.create.call_args
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messages = call_args.kwargs.get('messages', call_args[1].get('messages', []))
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user_message = messages[-1]['content']
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assert sample_service['name'] in user_message
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@pytest.mark.asyncio
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async def test_generate_thread(self, generator):
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"""Test generating a thread."""
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generator.client.chat.completions.create.return_value.choices[0].message.content = \
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"1/ Post uno\n2/ Post dos\n3/ Post tres"
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result = await generator.generate_thread(
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topic="Cómo proteger tu contraseña",
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num_posts=3
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)
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assert isinstance(result, list)
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assert len(result) == 3
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@pytest.mark.asyncio
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async def test_generate_response_suggestion(self, generator, sample_interaction):
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"""Test generating response suggestions."""
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generator.client.chat.completions.create.return_value.choices[0].message.content = \
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"1. Respuesta corta\n2. Respuesta media\n3. Respuesta larga"
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result = await generator.generate_response_suggestion(
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interaction_content=sample_interaction['content'],
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interaction_type=sample_interaction['type']
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)
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assert isinstance(result, list)
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assert len(result) <= 3
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@pytest.mark.asyncio
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async def test_adapt_content_for_platform(self, generator):
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"""Test adapting content for different platforms."""
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original = "Este es un tip muy largo sobre seguridad informática con muchos detalles"
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result = await generator.adapt_content_for_platform(
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content=original,
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target_platform="x"
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)
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assert result is not None
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call_args = generator.client.chat.completions.create.call_args
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messages = call_args.kwargs.get('messages', call_args[1].get('messages', []))
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user_message = messages[-1]['content']
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assert "280" in user_message # X character limit
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def test_get_system_prompt(self, generator, mock_settings):
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"""Test that system prompt includes business info."""
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prompt = generator._get_system_prompt()
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assert mock_settings.BUSINESS_NAME in prompt
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assert mock_settings.BUSINESS_LOCATION in prompt
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def test_lazy_initialization_without_api_key(self):
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"""Test that client raises error without API key."""
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with patch('app.services.content_generator.settings') as mock:
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mock.DEEPSEEK_API_KEY = None
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from app.services.content_generator import ContentGenerator
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gen = ContentGenerator()
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with pytest.raises(ValueError, match="DEEPSEEK_API_KEY"):
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_ = gen.client
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class TestCharacterLimits:
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"""Tests for character limit handling."""
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@pytest.mark.parametrize("platform,expected_limit", [
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("x", 280),
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("threads", 500),
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("instagram", 2200),
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("facebook", 500),
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])
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@pytest.mark.asyncio
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async def test_platform_character_limits(self, platform, expected_limit, mock_settings):
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"""Test that correct character limits are used per platform."""
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with patch('app.services.content_generator.OpenAI') as mock_openai:
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mock_client = MagicMock()
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mock_response = MagicMock()
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mock_response.choices = [MagicMock()]
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mock_response.choices[0].message.content = "Test"
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mock_client.chat.completions.create.return_value = mock_response
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mock_openai.return_value = mock_client
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from app.services.content_generator import ContentGenerator
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gen = ContentGenerator()
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gen._client = mock_client
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await gen.generate_tip_tech("test", platform)
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call_args = mock_client.chat.completions.create.call_args
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messages = call_args.kwargs.get('messages', call_args[1].get('messages', []))
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user_message = messages[-1]['content']
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assert str(expected_limit) in user_message
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