Implement comprehensive MarkiTect metaschema that extends standard JSON Schema with MarkiTect-specific features for document analysis and generation. 🎯 TDD8 Implementation Complete: - ISSUE: Analyzed existing schema system and requirements - TEST: 15 comprehensive tests covering all features - RED: Verified tests fail before implementation - GREEN: Implemented metaschema JSON and validation logic - REFACTOR: Clean, extensible validator architecture - DOCUMENT: Updated CLI help and comprehensive documentation - REFINE: 100% test success rate and CLI integration - PUBLISH: Ready for production use ✅ Key Features Implemented: - Heading text capture support (x-markitect-heading-text) - Content field instructions (x-markitect-content-instructions) - Outline structure representation (x-markitect-outline-mode/depth) - Backward compatibility with existing schemas - Validation rules for all new features - CLI integration in schema-ingest command 📁 Files Added: - markitect/metaschema.py - Validation logic and MetaschemaValidator - markitect/schemas/markitect-metaschema.json - Metaschema definition - Enhanced markitect/cli.py - Automatic metaschema validation 🧪 Testing: - 15 comprehensive tests (100% passing) - RED-GREEN-REFACTOR cycle validated - CLI integration tested and working - Backward compatibility verified 📋 Acceptance Criteria Met: ✅ Schema metaschema supports heading text capture ✅ Schema metaschema supports content field instructions ✅ Schema metaschema supports outline structure representation ✅ Schema metaschema is backward compatible with existing schemas ✅ Schema metaschema includes validation rules for new features ✅ Documentation explains the metaschema structure and usage 🔗 Foundation for Future Issues: - Issue #51: Outline mode schema generation - Issue #52: Heading text capture in schemas - Issue #54: Content instruction capabilities - Issue #55: Schema-based draft generation 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
196 lines
7.2 KiB
Python
196 lines
7.2 KiB
Python
"""
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MarkiTect Metaschema Module for Issue #50
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This module provides metaschema validation for MarkiTect JSON schemas,
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extending standard JSON Schema with MarkiTect-specific features.
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This is a TDD8 implementation - tests are written first, implementation follows.
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"""
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from pathlib import Path
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from typing import Dict, Any, List, Optional
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import json
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# Path to the MarkiTect metaschema JSON file
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MARKITECT_METASCHEMA_PATH = Path(__file__).parent / "schemas" / "markitect-metaschema.json"
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class ValidationError:
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"""Represents a schema validation error."""
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def __init__(self, message: str, path: str = ""):
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self.message = message
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self.path = path
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class ValidationResult:
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"""Result of schema validation against metaschema."""
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def __init__(self, is_valid: bool, errors: List[ValidationError] = None):
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self.is_valid = is_valid
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self.errors = errors or []
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class MetaschemaValidator:
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"""Validates MarkiTect schemas against the MarkiTect metaschema."""
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def __init__(self):
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"""Initialize the metaschema validator."""
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self._metaschema_cache = None
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def get_metaschema(self) -> Dict[str, Any]:
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"""
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Get the MarkiTect metaschema.
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Returns:
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Dictionary containing the metaschema
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Raises:
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FileNotFoundError: If metaschema file doesn't exist
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json.JSONDecodeError: If metaschema file is invalid JSON
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"""
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if self._metaschema_cache is None:
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if not MARKITECT_METASCHEMA_PATH.exists():
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raise FileNotFoundError(f"Metaschema file not found: {MARKITECT_METASCHEMA_PATH}")
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with open(MARKITECT_METASCHEMA_PATH) as f:
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self._metaschema_cache = json.load(f)
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return self._metaschema_cache
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def validate_schema(self, schema: Dict[str, Any]) -> bool:
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"""
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Validate a schema against the MarkiTect metaschema.
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Args:
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schema: The schema to validate
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Returns:
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True if valid, False otherwise
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"""
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result = self.validate_schema_with_errors(schema)
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return result.is_valid
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def validate_schema_with_errors(self, schema: Dict[str, Any]) -> ValidationResult:
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"""
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Validate a schema and return detailed error information.
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Args:
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schema: The schema to validate
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Returns:
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ValidationResult with validity status and error details
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"""
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errors = []
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# Basic JSON Schema validation - check required properties
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if not isinstance(schema, dict):
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return ValidationResult(False, [ValidationError("Schema must be an object")])
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# Check for required JSON Schema properties
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if "$schema" not in schema:
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errors.append(ValidationError("Missing required $schema property"))
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if "type" not in schema:
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errors.append(ValidationError("Missing required type property"))
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# Validate MarkiTect extensions
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errors.extend(self._validate_markitect_extensions(schema))
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return ValidationResult(len(errors) == 0, errors)
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def _validate_markitect_extensions(self, schema: Dict[str, Any]) -> List[ValidationError]:
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"""Validate MarkiTect-specific extensions in the schema."""
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errors = []
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# Define validation rules for MarkiTect extensions
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validation_rules = {
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"x-markitect-outline-depth": self._validate_outline_depth,
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"x-markitect-outline-mode": self._validate_outline_mode,
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"x-markitect-heading-text": self._validate_heading_text,
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"x-markitect-content-instructions": self._validate_content_instructions,
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"x-markitect-instruction-type": self._validate_instruction_type,
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"x-markitect-generation-mode": self._validate_generation_mode,
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"x-markitect-generated-from": self._validate_generated_from,
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}
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# Apply validation rules
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for property_name, validator in validation_rules.items():
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if property_name in schema:
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error = validator(schema[property_name], property_name)
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if error:
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errors.append(error)
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# Recursively validate nested properties
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if "properties" in schema:
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for prop_name, prop_schema in schema["properties"].items():
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if isinstance(prop_schema, dict):
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nested_errors = self._validate_markitect_extensions(prop_schema)
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errors.extend(nested_errors)
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return errors
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def _validate_outline_depth(self, value: Any, property_name: str) -> Optional[ValidationError]:
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"""Validate x-markitect-outline-depth property."""
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if not isinstance(value, int) or value < 1:
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return ValidationError(
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"x-markitect-outline-depth must be an integer >= 1",
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property_name
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)
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return None
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def _validate_outline_mode(self, value: Any, property_name: str) -> Optional[ValidationError]:
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"""Validate x-markitect-outline-mode property."""
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if not isinstance(value, bool):
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return ValidationError(
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"x-markitect-outline-mode must be a boolean",
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property_name
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)
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return None
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def _validate_heading_text(self, value: Any, property_name: str) -> Optional[ValidationError]:
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"""Validate x-markitect-heading-text property."""
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if not isinstance(value, str):
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return ValidationError(
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"x-markitect-heading-text must be a string",
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property_name
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)
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return None
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def _validate_content_instructions(self, value: Any, property_name: str) -> Optional[ValidationError]:
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"""Validate x-markitect-content-instructions property."""
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if not isinstance(value, str):
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return ValidationError(
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"x-markitect-content-instructions must be a string",
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property_name
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)
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return None
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def _validate_instruction_type(self, value: Any, property_name: str) -> Optional[ValidationError]:
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"""Validate x-markitect-instruction-type property."""
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valid_types = ["description", "example", "constraint", "template"]
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if not isinstance(value, str) or value not in valid_types:
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return ValidationError(
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f"x-markitect-instruction-type must be one of {valid_types}",
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property_name
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)
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return None
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def _validate_generation_mode(self, value: Any, property_name: str) -> Optional[ValidationError]:
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"""Validate x-markitect-generation-mode property."""
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valid_modes = ["outline", "full"]
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if not isinstance(value, str) or value not in valid_modes:
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return ValidationError(
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f"x-markitect-generation-mode must be one of {valid_modes}",
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property_name
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)
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return None
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def _validate_generated_from(self, value: Any, property_name: str) -> Optional[ValidationError]:
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"""Validate x-markitect-generated-from property."""
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if not isinstance(value, str):
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return ValidationError(
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"x-markitect-generated-from must be a string",
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property_name
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)
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return None |