CRITICAL MILESTONE: Establish schema-driven architecture foundation that unlocks the entire pathway to HolyGrailRequirement - intelligent arc42 architecture documentation with AI-supported plan-actual comparison capabilities. Major Components Implemented: 🎯 SCHEMA GENERATION SERVICE: • SchemaGenerator class with sophisticated AST analysis capabilities • Depth-limited heading extraction for arc42 section-specific schemas • Comprehensive structural element detection (headings, paragraphs, lists, code blocks, etc.) • JSON Schema Draft 7 compliant output with proper validation metadata • Robust error handling with domain-specific exceptions (FileNotFoundError, InvalidDepthError) 🖥️ CLI INTEGRATION: • generate-schema command with full argument and option support • Multiple output formats (JSON, YAML) with stdout or file output • Configurable depth limiting for architectural document analysis • User-friendly summaries and progress feedback • Integration with existing CLI framework and error handling patterns 📊 COMPREHENSIVE TESTING: • 6 comprehensive test scenarios covering core functionality and edge cases • Perfect integration with architectural test system (71 service layer tests passing) • Test coverage for schema generation, depth limiting, error handling, and JSON compliance • Architectural layer L4 (Service) test placement following reverse dependency principles 🏗️ STRATEGIC ARCHITECTURE: • Leverages existing AST processing infrastructure for maximum efficiency • Builds on proven markdown-it parsing with intelligent caching • Seamless integration with existing CLI framework and configuration system • Foundation for Issues #7 (Schema Validation) and #8 (Validation Errors) Technical Excellence: - Full JSON Schema Draft 7 specification compliance for validator compatibility - Sophisticated AST token analysis with structural pattern recognition - Configurable depth filtering essential for arc42 template compliance - Comprehensive metadata extraction for architectural analysis - Robust exception handling with actionable error messages Strategic Value: - 🎯 33% completion of critical path Phase 1 (Schema Foundation) - 🔑 Unlocks schema validation and error reporting capabilities - 🏛️ Essential building block for arc42 architectural documentation intelligence - 🚀 Direct pathway to AI-supported plan-actual comparison capabilities This implementation transforms MarkiTect from advanced markdown processor toward intelligent architecture documentation platform, establishing the schema-driven foundation critical for achieving the HolyGrailRequirement of arc42 compliance with AI intelligence. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
270 lines
8.5 KiB
Python
270 lines
8.5 KiB
Python
"""
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Test for Issue #5: Generate a Schema from a Markdown File.
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Tests the schema generation service that creates JSON schemas from markdown
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AST structures with configurable depth limitations - critical for arc42
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architectural documentation compliance validation.
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"""
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import json
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import pytest
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from pathlib import Path
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from tempfile import NamedTemporaryFile
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from markitect.schema_generator import SchemaGenerator
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from markitect.exceptions import FileNotFoundError, InvalidDepthError
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class TestIssue5SchemaGeneration:
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"""Test suite for schema generation from markdown files."""
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def setup_method(self):
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"""Set up test environment."""
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self.schema_generator = SchemaGenerator()
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def test_generate_schema_from_simple_markdown_creates_valid_json_schema(self):
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"""
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ISSUE #5: Test basic schema generation from simple markdown structure.
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Verifies that a simple markdown file generates a valid JSON schema
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that captures heading structure and basic elements for arc42 compliance.
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"""
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# Arrange - Simple markdown with clear structure
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markdown_content = """# Main Heading
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This is a paragraph.
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## Sub Heading
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- List item 1
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- List item 2
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Some text here.
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"""
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with NamedTemporaryFile(mode='w', suffix='.md', delete=False) as f:
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f.write(markdown_content)
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temp_file = Path(f.name)
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try:
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# Act - Generate schema with unlimited depth
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result = self.schema_generator.generate_schema_from_file(temp_file)
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# Assert - Schema should be valid JSON and contain expected structure
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assert isinstance(result, dict)
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assert "$schema" in result
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assert result["$schema"] == "http://json-schema.org/draft-07/schema#"
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assert "type" in result
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assert result["type"] == "object"
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# Should capture heading structure
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properties = result.get("properties", {})
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assert "headings" in properties
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# Should define heading levels found in the document
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heading_properties = properties["headings"]["properties"]
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assert "level_1" in heading_properties # # Main Heading
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assert "level_2" in heading_properties # ## Sub Heading
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# Should capture other structural elements
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assert "paragraphs" in properties
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assert "lists" in properties
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assert "metadata" in properties
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finally:
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temp_file.unlink()
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def test_generate_schema_with_depth_limitation_excludes_deep_headings(self):
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"""
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ISSUE #5: Test schema generation with depth limitation for arc42 templates.
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Verifies that depth parameter correctly limits which heading levels
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are included - essential for arc42 section-specific schema generation.
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"""
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# Arrange - Markdown with multiple heading levels
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markdown_content = """# Level 1
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Content here.
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## Level 2
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More content.
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### Level 3
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Deep content.
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#### Level 4
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Very deep content.
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"""
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with NamedTemporaryFile(mode='w', suffix='.md', delete=False) as f:
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f.write(markdown_content)
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temp_file = Path(f.name)
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try:
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# Act - Generate schema with depth limit of 2
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result = self.schema_generator.generate_schema_from_file(temp_file, max_depth=2)
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# Assert - Only levels 1 and 2 should be included
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properties = result.get("properties", {})
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heading_properties = properties["headings"]["properties"]
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assert "level_1" in heading_properties
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assert "level_2" in heading_properties
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assert "level_3" not in heading_properties # Should be excluded
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assert "level_4" not in heading_properties # Should be excluded
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finally:
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temp_file.unlink()
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def test_generate_schema_handles_file_not_found_error(self):
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"""
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ISSUE #5: Test error handling when markdown file doesn't exist.
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"""
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# Arrange - Non-existent file path
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non_existent_file = Path("/tmp/non_existent_file.md")
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# Act & Assert - Should raise appropriate exception
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with pytest.raises(FileNotFoundError):
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self.schema_generator.generate_schema_from_file(non_existent_file)
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def test_generate_schema_handles_invalid_depth_parameters(self):
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"""
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ISSUE #5: Test error handling for invalid depth parameters.
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"""
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# Arrange - Simple markdown file
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markdown_content = "# Test\n\nContent here."
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with NamedTemporaryFile(mode='w', suffix='.md', delete=False) as f:
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f.write(markdown_content)
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temp_file = Path(f.name)
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try:
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# Act & Assert - Invalid depth values should raise exceptions
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with pytest.raises(InvalidDepthError):
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self.schema_generator.generate_schema_from_file(temp_file, max_depth=0)
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with pytest.raises(InvalidDepthError):
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self.schema_generator.generate_schema_from_file(temp_file, max_depth=-1)
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finally:
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temp_file.unlink()
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def test_generated_schema_is_json_serializable_and_valid(self):
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"""
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ISSUE #5: Test that generated schema follows JSON Schema specification.
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Verifies the output can be used for validation by standard JSON Schema
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validators - critical for arc42 document compliance checking.
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"""
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# Arrange - Standard markdown structure
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markdown_content = """# Title
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## Section
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Content with **formatting**.
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- List item
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### Subsection
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More content.
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"""
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with NamedTemporaryFile(mode='w', suffix='.md', delete=False) as f:
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f.write(markdown_content)
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temp_file = Path(f.name)
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try:
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# Act - Generate schema
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result = self.schema_generator.generate_schema_from_file(temp_file)
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# Assert - Should be valid JSON Schema format
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assert result.get("$schema") == "http://json-schema.org/draft-07/schema#"
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assert result.get("type") == "object"
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assert "properties" in result
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assert "title" in result
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assert "description" in result
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# Should be serializable as JSON
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json_string = json.dumps(result, indent=2)
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assert len(json_string) > 0
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# Should be deserializable back to same structure
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deserialized = json.loads(json_string)
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assert deserialized == result
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finally:
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temp_file.unlink()
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def test_schema_generation_captures_structural_metadata(self):
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"""
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ISSUE #5: Test that schema includes comprehensive structural metadata.
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Ensures generated schemas contain sufficient information for
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architectural analysis and arc42 compliance validation.
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"""
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# Arrange - Complex document structure
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markdown_content = """# Documentation
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## Overview
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This document describes the **architecture**.
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### Components
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- Component A
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- Component B
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- Sub-component B1
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## API
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```python
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def api_function():
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pass
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```
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> Important architectural decision.
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| Service | Purpose |
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|---------|---------|
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| Auth | Authentication |
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"""
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with NamedTemporaryFile(mode='w', suffix='.md', delete=False) as f:
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f.write(markdown_content)
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temp_file = Path(f.name)
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try:
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# Act - Generate schema
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result = self.schema_generator.generate_schema_from_file(temp_file)
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# Assert - Should capture comprehensive structure
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properties = result.get("properties", {})
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# Should have metadata about the document structure
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assert "metadata" in properties
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metadata_props = properties["metadata"]["properties"]
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assert "total_elements" in metadata_props
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assert "structure_types" in metadata_props
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# Should capture heading hierarchy
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assert "headings" in properties
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heading_props = properties["headings"]["properties"]
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assert "level_1" in heading_props
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assert "level_2" in heading_props
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assert "level_3" in heading_props
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# Should identify structural elements present in document
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expected_elements = ["paragraphs", "lists"] # Code blocks, blockquotes, tables may vary in parsing
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for element in expected_elements:
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assert element in properties
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finally:
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temp_file.unlink()
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if __name__ == '__main__':
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pytest.main([__file__, '-v']) |