test(15-03): add AnalyzeProcessor independence tests

- test_analyze_processor_unaffected_by_config: 验证 AnalyzeProcessor 不受 enable_semantic_segmentation 配置影响
- test_analyze_processor_normal_initialization: 验证 AnalyzeProcessor 正常初始化
- test_analyze_processor_output_unchanged: 验证 AnalyzeProcessor 输出格式未改变

Task 2 完成：AnalyzeProcessor 独立性验证（CONFIG-03）
现有 test_analyze.py 测试全部通过，未被配置变更破坏

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

tests/test_backward_compat.py

@@ -6,8 +6,9 @@ Tests to ensure that configuration changes don't break existing functionality:
 - Existing API calls remain compatible
 """
 
+import json
 import pytest
-from unittest.mock import Mock, patch, MagicMock
+from unittest.mock import Mock, patch, MagicMock, AsyncMock
 from pathlib import Path
 from kb_workflow.srt.parser import Segment
 from kb_workflow.srt.segmenter import SemanticSegmenter
@@ -164,22 +165,105 @@ class TestBackwardCompatibility:
 # =============================================================================
 
 class TestAnalyzeProcessorIndependence:
-    """Test that AnalyzeProcessor is independent of SRTProcessor configuration"""
+    """Test that AnalyzeProcessor is independent of SRTProcessor configuration (CONFIG-03)"""
 
-    @pytest.mark.skipif(True, reason="Not implemented yet - will implement in Task 2")
     def test_analyze_processor_unaffected_by_config(self):
         """Test: AnalyzeProcessor 不受 KBSettings.enable_semantic_segmentation 影响"""
-        # This test will be implemented in Task 2
+        from kb_workflow.pipeline.processors.analyze import AnalyzeProcessor
-        pass
+
+        # Verify AnalyzeProcessor can be initialized normally
+        processor = AnalyzeProcessor(state_manager=None)
+
+        # Verify it's a valid processor
+        assert processor is not None
+        assert processor.STEP_NAME == "analyze"
+
+        # Verify AnalyzeProcessor does NOT have enable_semantic_segmentation attribute
+        # (this is SRTProcessor-specific config)
+        assert not hasattr(processor, 'enable_semantic_segmentation'), \
+            "AnalyzeProcessor should NOT have enable_semantic_segmentation attribute"
 
-    @pytest.mark.skipif(True, reason="Not implemented yet - will implement in Task 2")
     def test_analyze_processor_normal_initialization(self):
         """Test: AnalyzeProcessor 正常初始化和处理"""
-        # This test will be implemented in Task 2
+        from kb_workflow.pipeline.processors.analyze import AnalyzeProcessor
-        pass
+        from kb_workflow.pipeline.schemas import AnalyzeInput
 
-    @pytest.mark.skipif(True, reason="Not implemented yet - will implement in Task 2")
+        # Create processor
-    def test_analyze_processor_output_unchanged(self):
+        processor = AnalyzeProcessor(state_manager=None)
+
+        # Verify it's properly initialized
+        assert processor is not None
+        assert hasattr(processor, 'process')
+        assert hasattr(processor, '_create_ai_client')
+
+        # Verify it can create AI client (needed for analysis)
+        ai_client = processor._create_ai_client()
+        assert ai_client is not None
+        # AI client may or may not have api_key depending on env setup
+
+    @pytest.mark.asyncio
+    async def test_analyze_processor_output_unchanged(self, tmp_path):
         """Test: AnalyzeProcessor 输出格式未改变"""
-        # This test will be implemented in Task 2
+        from kb_workflow.pipeline.processors.analyze import AnalyzeProcessor
-        pass
+        from kb_workflow.pipeline.schemas import AnalyzeInput
+
+        # Create temporary files
+        metadata_file = tmp_path / "metadata.json"
+        content_file = tmp_path / "content.json"
+        output_file = tmp_path / "output.md"
+
+        # Create test metadata
+        metadata = {
+            "title": "Test Title",
+            "author": "Test Author",
+            "platform": "zhihu"  # Use valid platform value
+        }
+        metadata_file.write_text(json.dumps(metadata, ensure_ascii=False))
+
+        # Create test content
+        content = {
+            "text": "This is test content for analysis."
+        }
+        content_file.write_text(json.dumps(content, ensure_ascii=False))
+
+        # Create input
+        input_data = AnalyzeInput(
+            content_id="test123",
+            platform="zhihu",  # Use valid platform value
+            metadata_file=str(metadata_file),
+            content_file=str(content_file),
+            content_type="article",
+            output_file=str(output_file)
+        )
+
+        # Create a mock result object
+        mock_result = Mock()
+        mock_result.summary = "Test summary"
+        mock_result.main_topics = ["Topic 1"]
+        mock_result.key_insights = ["Insight 1"]
+        mock_result.recommended_tags = ["tag1"]
+        mock_result.full_analysis = "## Analysis\n\nTest analysis content"
+        mock_result.original_text = "This is test content for analysis."
+
+        # Mock the _run_analysis method directly
+        with patch.object(AnalyzeProcessor, '_run_analysis', new_callable=AsyncMock) as mock_run:
+            mock_run.return_value = mock_result
+
+            # Create processor and process
+            processor = AnalyzeProcessor(state_manager=None)
+            result = await processor.process(input_data)
+
+            # Verify output structure is unchanged
+            assert result.success is True
+            assert result.analysis_file == str(output_file)
+            assert isinstance(result.main_topics, list)
+            assert isinstance(result.key_insights, list)
+            assert isinstance(result.tags, list)
+
+            # Verify output file was created with expected format
+            assert output_file.exists()
+            content = output_file.read_text(encoding='utf-8')
+            # Should contain YAML frontmatter
+            assert content.startswith('---')
+            # Should contain analysis content
+            assert '## Analysis' in content or 'Test analysis content' in content