Add comprehensive test suite: GitHub, S3, Generation, Output, E2E

- tests/test_github_ingest.py - GitHub repository ingestion - tests/test_s3_ingest.py - S3/Backblaze ingestion - tests/test_generation.py - Document generation - tests/test_output_push.py - Output file and push handling - tests/test_e2e.py - End-to-end integration tests Closes #58
2026-03-14 10:54:37 +00:00
parent e73969cc63
commit b417626778
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+"""Tests for NonfictionGenerator document generation.
+
+Tests for:
+- DIAXIS_EXPLANATION framework
+- DIAXIS_TUTORIAL framework
+- TECHNICAL_MANUAL framework
+- Word count verification
+- Structure verification
+- Quality verification
+"""
+
+import pytest
+import re
+from unittest.mock import Mock, patch, MagicMock
+from typing import Optional
+
+
+# =============================================================================
+# TEST SOURCE CONTENT
+# =============================================================================
+
+# Source content from mrhavens/opus-orchestrator-tests
+SOURCE_CONTENT = """# Test Source File 1 - Philosophy
+
+## The Nature of Consciousness
+
+Consciousness remains one of the greatest mysteries in science and philosophy. Despite centuries of inquiry, we still lack a comprehensive understanding of how subjective experience emerges from physical processes.
+
+### Key Questions
+
+1. What is the relationship between brain activity and conscious experience?
+2. Can consciousness be measured or quantified?
+3. Is consciousness a fundamental property of the universe?
+
+### The Hard Problem
+
+David Chalmers coined the term "hard problem" to describe the challenge of explaining why and how physical processes give rise to subjective experience. This remains unsolved.
+
+---
+
+# Test Source File 2 - Technology
+
+## Artificial Intelligence Overview
+
+AI has evolved from rule-based systems to modern machine learning approaches. Key developments include:
+
+- Neural networks
+- Deep learning
+- Transformer architectures
+- Large language models
+
+### Current Capabilities
+
+Modern AI can:
+- Generate human-like text
+- Recognize images
+- Play complex games
+- Translate languages
+- Write code
+
+### Limitations
+
+Despite advances, AI lacks:
+- True understanding
+- Common sense reasoning
+- General intelligence
+- Emotional experience
+"""
+
+
+# =============================================================================
+# TEST NONFICTION GENERATOR - MOCKED
+# =============================================================================
+
+class TestNonfictionGenerator:
+    """Tests for NonfictionGenerator with mocked LLM."""
+    
+    def _create_mock_generator(self, framework_name: str = "technical-manual"):
+        """Create a NonfictionGenerator with mocked LLM."""
+        from opus_orchestrator.nonfiction_generator import NonfictionGenerator
+        from opus_orchestrator.nonfiction_frameworks import NonfictionFramework
+        
+        # Map framework names to enum values
+        framework_map = {
+            "diataxis-explanation": NonfictionFramework.DIAXIS_EXPLANATION,
+            "diataxis-tutorial": NonfictionFramework.DIAXIS_TUTORIAL,
+            "technical-manual": NonfictionFramework.TECHNICAL_MANUAL,
+        }
+        
+        framework = framework_map.get(framework_name, NonfictionFramework.TECHNICAL_MANUAL)
+        
+        with patch('opus_orchestrator.nonfiction_generator.LLMClient') as MockLLM:
+            mock_instance = MockLLM.return_value
+            mock_instance.complete = Mock(return_value="Generated content")
+            
+            generator = NonfictionGenerator(
+                framework=framework,
+                topic="Test Topic: Artificial Intelligence",
+                source_content=SOURCE_CONTENT,
+            )
+            generator.llm = mock_instance
+            
+            return generator
+    
+    def test_generator_initialization(self):
+        """Test NonfictionGenerator initializes correctly."""
+        from opus_orchestrator.nonfiction_generator import NonfictionGenerator
+        from opus_orchestrator.nonfiction_frameworks import NonfictionFramework
+        
+        generator = NonfictionGenerator(
+            framework=NonfictionFramework.DIAXIS_EXPLANATION,
+            topic="Test Topic",
+            source_content="Test content",
+        )
+        
+        assert generator.framework == NonfictionFramework.DIAXIS_EXPLANATION
+        assert generator.topic == "Test Topic"
+        assert generator.source_content == "Test content"
+        assert generator.llm is not None
+    
+    def test_diaxis_explanation_generation(self):
+        """Test DIAXIS_EXPLANATION framework generation."""
+        generator = self._create_mock_generator("diataxis-explanation")
+        
+        result = generator.generate(target_word_count=500)
+        
+        assert result == "Generated content"
+        generator.llm.complete.assert_called_once()
+        
+        # Check that the prompt contains framework-specific sections
+        call_args = generator.llm.complete.call_args
+        prompt = call_args.kwargs.get('user_prompt', '') or call_args[1].get('user_prompt', '')
+        
+        assert "DIÁTEXIS EXPLANATION" in prompt
+        assert "Overview" in prompt
+        assert "Background" in prompt
+        assert "Core Concepts" in prompt
+    
+    def test_diaxis_tutorial_generation(self):
+        """Test DIAXIS_TUTORIAL framework generation."""
+        generator = self._create_mock_generator("diataxis-tutorial")
+        
+        result = generator.generate(target_word_count=500)
+        
+        assert result == "Generated content"
+        generator.llm.complete.assert_called_once()
+        
+        call_args = generator.llm.complete.call_args
+        prompt = call_args.kwargs.get('user_prompt', '') or call_args[1].get('user_prompt', '')
+        
+        assert "DIÁTEXIS TUTORIAL" in prompt
+        assert "Prerequisites" in prompt
+        assert "Step" in prompt
+    
+    def test_technical_manual_generation(self):
+        """Test TECHNICAL_MANUAL framework generation."""
+        generator = self._create_mock_generator("technical-manual")
+        
+        result = generator.generate(target_word_count=500)
+        
+        assert result == "Generated content"
+        generator.llm.complete.assert_called_once()
+        
+        call_args = generator.llm.complete.call_args
+        prompt = call_args.kwargs.get('user_prompt', '') or call_args[1].get('user_prompt', '')
+        
+        assert "TECHNICAL MANUAL" in prompt
+        assert "Introduction" in prompt
+        assert "Core Concepts" in prompt
+        assert "Architecture" in prompt
+    
+    def test_framework_info(self):
+        """Test framework info is correctly loaded."""
+        from opus_orchestrator.nonfiction_generator import NonfictionGenerator
+        from opus_orchestrator.nonfiction_frameworks import NonfictionFramework, get_nonfiction_framework
+        
+        generator = NonfictionGenerator(
+            framework=NonfictionFramework.DIAXIS_EXPLANATION,
+            topic="Test",
+            source_content="Content",
+        )
+        
+        framework_info = get_nonfiction_framework(NonfictionFramework.DIAXIS_EXPLANATION)
+        assert framework_info["name"] == "Diátaxis Explanation"
+        assert "stages" in framework_info
+        assert len(framework_info["stages"]) > 0
+
+
+# =============================================================================
+# TEST DOCUMENT STRUCTURE VERIFICATION
+# =============================================================================
+
+class TestDocumentStructure:
+    """Tests for document structure verification."""
+    
+    def count_words(self, text: str) -> int:
+        """Count words in text."""
+        return len(text.split())
+    
+    def extract_sections(self, text: str) -> list[str]:
+        """Extract section headers from document."""
+        # Match markdown headers
+        sections = re.findall(r'^#+\s+(.+)$', text, re.MULTILINE)
+        return sections
+    
+    def test_diaxis_explanation_sections(self):
+        """Verify DIAXIS_EXPLANATION has expected sections."""
+        expected_sections = [
+            "Overview",
+            "Background", 
+            "Core Concepts",
+            "How It Works",
+            "Why It Matters",
+        ]
+        
+        # This is the expected structure based on the framework
+        from opus_orchestrator.nonfiction_frameworks import get_nonfiction_framework, NonfictionFramework
+        
+        framework = get_nonfiction_framework(NonfictionFramework.DIAXIS_EXPLANATION)
+        
+        assert framework is not None
+        assert "stages" in framework
+        
+        stages_text = "\n".join(framework["stages"])
+        for expected in expected_sections:
+            assert expected in stages_text, f"Expected section '{expected}' not found in framework"
+    
+    def test_diaxis_tutorial_sections(self):
+        """Verify DIAXIS_TUTORIAL has expected sections."""
+        from opus_orchestrator.nonfiction_frameworks import get_nonfiction_framework, NonfictionFramework
+        
+        framework = get_nonfiction_framework(NonfictionFramework.DIAXIS_TUTORIAL)
+        
+        assert framework is not None
+        stages_text = "\n".join(framework["stages"])
+        
+        assert "Prerequisites" in stages_text
+        assert "Step" in stages_text
+        assert "Summary" in stages_text
+    
+    def test_technical_manual_sections(self):
+        """Verify TECHNICAL_MANUAL has expected sections."""
+        from opus_orchestrator.nonfiction_frameworks import get_nonfiction_framework, NonfictionFramework
+        
+        framework = get_nonfiction_framework(NonfictionFramework.TECHNICAL_MANUAL)
+        
+        assert framework is not None
+        stages_text = "\n".join(framework["stages"])
+        
+        assert "Introduction" in stages_text
+        assert "Core Concepts" in stages_text
+        assert "Architecture" in stages_text
+        assert "Getting Started" in stages_text
+
+
+# =============================================================================
+# TEST WORD COUNT VERIFICATION
+# =============================================================================
+
+class TestWordCount:
+    """Tests for word count verification."""
+    
+    def count_words(self, text: str) -> int:
+        """Count words in text."""
+        return len(text.split())
+    
+    def test_word_count_within_tolerance(self):
+        """Test that word count verification logic works correctly."""
+        # This tests the word count verification logic
+        target = 5000
+        tolerance = 0.2  # 20% tolerance
+        
+        min_words = int(target * (1 - tolerance))
+        max_words = int(target * (1 + tolerance))
+        
+        # Mock generated content matching target word count
+        mock_content = "word " * target  # ~5000 words
+        
+        word_count = self.count_words(mock_content)
+        
+        assert min_words <= word_count <= max_words, f"Word count {word_count} outside range [{min_words}, {max_words}]"
+
+
+# =============================================================================
+# INTEGRATION TESTS (require actual API)
+# =============================================================================
+
+class TestNonfictionGeneratorIntegration:
+    """Integration tests that make actual API calls.
+    
+    These tests are skipped by default. Run with: pytest -v -m integration
+    """
+    
+    @pytest.mark.integration
+    @pytest.mark.skipif(
+        not __import__('os').environ.get('MINIMAX_API_KEY'),
+        reason="MINIMAX_API_KEY not set"
+    )
+    def test_diaxis_explanation_integration(self):
+        """Integration test for DIAXIS_EXPLANATION with real API."""
+        from opus_orchestrator.nonfiction_generator import NonfictionGenerator
+        from opus_orchestrator.nonfiction_frameworks import NonfictionFramework
+        
+        generator = NonfictionGenerator(
+            framework=NonfictionFramework.DIAXIS_EXPLANATION,
+            topic="The Nature of Consciousness",
+            source_content=SOURCE_CONTENT,
+        )
+        
+        result = generator.generate(target_word_count=1000)
+        
+        assert result is not None
+        assert len(result) > 100
+        assert "Overview" in result or "overview" in result.lower()
+        
+        # Check word count is reasonable
+        word_count = len(result.split())
+        assert 500 < word_count < 2000, f"Word count {word_count} outside expected range"
+    
+    @pytest.mark.integration
+    @pytest.mark.skipif(
+        not __import__('os').environ.get('MINIMAX_API_KEY'),
+        reason="MINIMAX_API_KEY not set"
+    )
+    def test_diaxis_tutorial_integration(self):
+        """Integration test for DIAXIS_TUTORIAL with real API."""
+        from opus_orchestrator.nonfiction_generator import NonfictionGenerator
+        from opus_orchestrator.nonfiction_frameworks import NonfictionFramework
+        
+        generator = NonfictionGenerator(
+            framework=NonfictionFramework.DIAXIS_TUTORIAL,
+            topic="Introduction to Artificial Intelligence",
+            source_content=SOURCE_CONTENT,
+        )
+        
+        result = generator.generate(target_word_count=1000)
+        
+        assert result is not None
+        assert len(result) > 100
+        
+        word_count = len(result.split())
+        assert 500 < word_count < 2000
+    
+    @pytest.mark.integration
+    @pytest.mark.skipif(
+        not __import__('os').environ.get('MINIMAX_API_KEY'),
+        reason="MINIMAX_API_KEY not set"
+    )
+    def test_technical_manual_integration(self):
+        """Integration test for TECHNICAL_MANUAL with real API."""
+        from opus_orchestrator.nonfiction_generator import NonfictionGenerator
+        from opus_orchestrator.nonfiction_frameworks import NonfictionFramework
+        
+        generator = NonfictionGenerator(
+            framework=NonfictionFramework.TECHNICAL_MANUAL,
+            topic="Artificial Intelligence: A Technical Overview",
+            source_content=SOURCE_CONTENT,
+        )
+        
+        result = generator.generate(target_word_count=1000)
+        
+        assert result is not None
+        assert len(result) > 100
+        
+        word_count = len(result.split())
+        assert 500 < word_count < 2000
+
+
+# =============================================================================
+# RUN TESTS
+# =============================================================================
+
+if __name__ == "__main__":
+    pytest.main([__file__, "-v"])