Russell Ballestrini
292265b5bb
- Create universal activity_yaml_validator.py for validating activity configurations - Add validation for metadata operations (metadata_add, metadata_remove, metadata_feedback_filter, etc.) - Validate terminal steps cannot have questions or buckets - Check Python syntax in processing_script and pre_script blocks - Validate YAML structure, transitions, and logic flow - Add 17 comprehensive unit tests with 100% pass rate - Include test fixtures for validation testing - Support both CLI and programmatic usage
589 lines
No EOL
25 KiB
Python
589 lines
No EOL
25 KiB
Python
#!/usr/bin/env python3
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"""
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Universal YAML Validator for Activity Configurations
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This module provides comprehensive validation for activity YAML files,
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particularly battleship configurations and other interactive activities.
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It validates structure, syntax, Python code blocks, and logical consistency.
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"""
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import yaml
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import ast
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import re
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import sys
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import argparse
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from typing import Dict, List, Any, Optional, Tuple
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from pathlib import Path
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class ValidationError(Exception):
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"""Custom exception for validation errors"""
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pass
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class ActivityYAMLValidator:
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"""
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Comprehensive validator for activity YAML configurations
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Validates:
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- YAML syntax and structure
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- Required fields and schema compliance
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- Python code blocks (processing_script, pre_script)
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- Logic flow and transitions
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- Battleship-specific rules
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- Token limits and AI prompt structures
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"""
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def __init__(self):
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self.errors = []
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self.warnings = []
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self.current_file = None
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def validate_file(self, file_path: str) -> Tuple[bool, List[str], List[str]]:
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"""
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Validate a YAML file and return results
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Returns:
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Tuple of (is_valid, errors, warnings)
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"""
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self.errors = []
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self.warnings = []
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self.current_file = file_path
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try:
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with open(file_path, 'r', encoding='utf-8') as f:
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content = f.read()
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# Parse YAML
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try:
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data = yaml.safe_load(content)
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except yaml.YAMLError as e:
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self.errors.append(f"YAML syntax error: {e}")
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return False, self.errors, self.warnings
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# Validate structure
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self._validate_structure(data)
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# Validate sections
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if 'sections' in data:
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self._validate_sections(data['sections'])
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# Validate universal activity rules
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self._validate_activity_rules(data)
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# Validate Python code blocks
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self._validate_python_code(data)
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# Validate logic flow
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self._validate_logic_flow(data)
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return len(self.errors) == 0, self.errors, self.warnings
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except Exception as e:
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self.errors.append(f"Unexpected error: {e}")
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return False, self.errors, self.warnings
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def _validate_structure(self, data: Dict[str, Any]):
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"""Validate basic YAML structure"""
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if not isinstance(data, dict):
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self.errors.append("Root level must be a dictionary")
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return
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# Check required top-level fields
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required_fields = ['sections']
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for field in required_fields:
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if field not in data:
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self.errors.append(f"Missing required field: {field}")
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# Validate optional fields
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if 'default_max_attempts_per_step' in data:
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if not isinstance(data['default_max_attempts_per_step'], int) or data['default_max_attempts_per_step'] < 1:
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self.errors.append("default_max_attempts_per_step must be a positive integer")
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if 'tokens_for_ai_rubric' in data:
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if not isinstance(data['tokens_for_ai_rubric'], str):
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self.errors.append("tokens_for_ai_rubric must be a string")
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def _validate_sections(self, sections: List[Dict[str, Any]]):
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"""Validate sections structure"""
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if not isinstance(sections, list):
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self.errors.append("sections must be a list")
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return
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if not sections:
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self.errors.append("At least one section is required")
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return
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section_ids = set()
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for i, section in enumerate(sections):
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if not isinstance(section, dict):
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self.errors.append(f"Section {i} must be a dictionary")
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continue
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# Validate section structure
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self._validate_section(section, i)
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# Check for duplicate section IDs
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if 'section_id' in section:
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if section['section_id'] in section_ids:
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self.errors.append(f"Duplicate section_id: {section['section_id']}")
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section_ids.add(section['section_id'])
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def _validate_section(self, section: Dict[str, Any], section_index: int):
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"""Validate individual section"""
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required_fields = ['section_id', 'title', 'steps']
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for field in required_fields:
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if field not in section:
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self.errors.append(f"Section {section_index}: Missing required field '{field}'")
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if 'steps' in section:
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self._validate_steps(section['steps'], section.get('section_id', f'section_{section_index}'))
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def _validate_steps(self, steps: List[Dict[str, Any]], section_id: str):
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"""Validate steps within a section"""
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if not isinstance(steps, list):
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self.errors.append(f"Section {section_id}: steps must be a list")
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return
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if not steps:
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self.errors.append(f"Section {section_id}: At least one step is required")
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return
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step_ids = set()
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for i, step in enumerate(steps):
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if not isinstance(step, dict):
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self.errors.append(f"Section {section_id}, step {i}: Must be a dictionary")
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continue
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self._validate_step(step, section_id, i)
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# Check for duplicate step IDs
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if 'step_id' in step:
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if step['step_id'] in step_ids:
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self.errors.append(f"Section {section_id}: Duplicate step_id '{step['step_id']}'")
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step_ids.add(step['step_id'])
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def _validate_step(self, step: Dict[str, Any], section_id: str, step_index: int):
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"""Validate individual step"""
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step_id = step.get('step_id', f'step_{step_index}')
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# Required fields
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required_fields = ['step_id', 'title']
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for field in required_fields:
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if field not in step:
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self.errors.append(f"Section {section_id}, step {step_id}: Missing required field '{field}'")
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# Validate content_blocks or question
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has_content = 'content_blocks' in step
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has_question = 'question' in step
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if not has_content and not has_question:
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self.errors.append(f"Section {section_id}, step {step_id}: Must have either 'content_blocks' or 'question'")
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if has_content:
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self._validate_content_blocks(step['content_blocks'], section_id, step_id)
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if has_question:
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self._validate_question_step(step, section_id, step_id)
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def _validate_content_blocks(self, content_blocks: List[str], section_id: str, step_id: str):
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"""Validate content blocks"""
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if not isinstance(content_blocks, list):
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self.errors.append(f"Section {section_id}, step {step_id}: content_blocks must be a list")
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return
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for i, block in enumerate(content_blocks):
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if not isinstance(block, str):
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self.errors.append(f"Section {section_id}, step {step_id}: content_blocks[{i}] must be a string")
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def _validate_question_step(self, step: Dict[str, Any], section_id: str, step_id: str):
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"""Validate question-type step"""
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if 'question' in step and not isinstance(step['question'], str):
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self.errors.append(f"Section {section_id}, step {step_id}: 'question' must be a string")
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# Validate AI tokens
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if 'tokens_for_ai' in step:
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if not isinstance(step['tokens_for_ai'], str):
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self.errors.append(f"Section {section_id}, step {step_id}: 'tokens_for_ai' must be a string")
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if 'feedback_tokens_for_ai' in step:
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if not isinstance(step['feedback_tokens_for_ai'], str):
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self.errors.append(f"Section {section_id}, step {step_id}: 'feedback_tokens_for_ai' must be a string")
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# Validate buckets and transitions
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if 'buckets' in step:
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self._validate_buckets(step['buckets'], section_id, step_id)
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if 'transitions' in step:
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self._validate_transitions(step['transitions'], step.get('buckets', []), section_id, step_id)
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def _validate_buckets(self, buckets: List[str], section_id: str, step_id: str):
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"""Validate buckets list"""
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if not isinstance(buckets, list):
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self.errors.append(f"Section {section_id}, step {step_id}: 'buckets' must be a list")
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return
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if not buckets:
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self.warnings.append(f"Section {section_id}, step {step_id}: Empty buckets list")
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return
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for i, bucket in enumerate(buckets):
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if not isinstance(bucket, str):
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self.errors.append(f"Section {section_id}, step {step_id}: buckets[{i}] must be a string")
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def _validate_transitions(self, transitions: Dict[str, Any], buckets: List[str], section_id: str, step_id: str):
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"""Validate transitions dictionary"""
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if not isinstance(transitions, dict):
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self.errors.append(f"Section {section_id}, step {step_id}: 'transitions' must be a dictionary")
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return
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# Check that all buckets have corresponding transitions
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for bucket in buckets:
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if bucket not in transitions:
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self.errors.append(f"Section {section_id}, step {step_id}: Missing transition for bucket '{bucket}'")
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# Check for unused transitions
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for transition_key in transitions:
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if transition_key not in buckets:
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self.warnings.append(f"Section {section_id}, step {step_id}: Unused transition '{transition_key}'")
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# Validate each transition
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for bucket, transition in transitions.items():
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self._validate_transition(transition, bucket, section_id, step_id)
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def _validate_transition(self, transition: Dict[str, Any], bucket: str, section_id: str, step_id: str):
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"""Validate individual transition"""
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if not isinstance(transition, dict):
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self.errors.append(f"Section {section_id}, step {step_id}, bucket {bucket}: Transition must be a dictionary")
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return
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# Validate next_section_and_step format
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if 'next_section_and_step' in transition:
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next_step = transition['next_section_and_step']
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if not isinstance(next_step, str):
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self.errors.append(f"Section {section_id}, step {step_id}, bucket {bucket}: 'next_section_and_step' must be a string")
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elif ':' not in next_step:
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self.errors.append(f"Section {section_id}, step {step_id}, bucket {bucket}: 'next_section_and_step' must be in format 'section_id:step_id'")
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# Validate metadata operations
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metadata_fields = ['metadata_add', 'metadata_tmp_add', 'metadata_remove', 'metadata_clear', 'metadata_feedback_filter']
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for field in metadata_fields:
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if field in transition:
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if field == 'metadata_clear':
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if not isinstance(transition[field], bool):
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self.errors.append(f"Section {section_id}, step {step_id}, bucket {bucket}: '{field}' must be boolean")
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elif field == 'metadata_feedback_filter':
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if not isinstance(transition[field], list):
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self.errors.append(f"Section {section_id}, step {step_id}, bucket {bucket}: '{field}' must be a list")
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else:
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for item in transition[field]:
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if not isinstance(item, str):
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self.errors.append(f"Section {section_id}, step {step_id}, bucket {bucket}: '{field}' items must be strings")
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elif field == 'metadata_remove':
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if isinstance(transition[field], str):
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# Single key to remove
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pass
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elif isinstance(transition[field], list):
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# List of keys to remove
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for item in transition[field]:
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if not isinstance(item, str):
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self.errors.append(f"Section {section_id}, step {step_id}, bucket {bucket}: '{field}' list items must be strings")
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else:
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self.errors.append(f"Section {section_id}, step {step_id}, bucket {bucket}: '{field}' must be a string or list of strings")
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else:
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if not isinstance(transition[field], dict):
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self.errors.append(f"Section {section_id}, step {step_id}, bucket {bucket}: '{field}' must be a dictionary")
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# Validate other transition fields
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if 'run_processing_script' in transition:
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if not isinstance(transition['run_processing_script'], bool):
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self.errors.append(f"Section {section_id}, step {step_id}, bucket {bucket}: 'run_processing_script' must be boolean")
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if 'ai_feedback' in transition:
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ai_feedback = transition['ai_feedback']
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if not isinstance(ai_feedback, dict):
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self.errors.append(f"Section {section_id}, step {step_id}, bucket {bucket}: 'ai_feedback' must be a dictionary")
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elif 'tokens_for_ai' in ai_feedback and not isinstance(ai_feedback['tokens_for_ai'], str):
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self.errors.append(f"Section {section_id}, step {step_id}, bucket {bucket}: ai_feedback.tokens_for_ai must be a string")
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if 'content_blocks' in transition:
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if not isinstance(transition['content_blocks'], list):
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self.errors.append(f"Section {section_id}, step {step_id}, bucket {bucket}: 'content_blocks' must be a list")
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else:
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for i, block in enumerate(transition['content_blocks']):
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if not isinstance(block, str):
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self.errors.append(f"Section {section_id}, step {step_id}, bucket {bucket}: content_blocks[{i}] must be a string")
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def _validate_python_code(self, data: Dict[str, Any]):
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"""Validate Python code blocks in scripts"""
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def validate_code_block(code: str, location: str):
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if not code or not isinstance(code, str):
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return
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try:
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# Parse the code to check for syntax errors
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ast.parse(code)
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except SyntaxError as e:
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self.errors.append(f"{location}: Python syntax error - {e}")
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except Exception as e:
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self.errors.append(f"{location}: Python parsing error - {e}")
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# Check for common issues
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self._check_python_code_quality(code, location)
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# Recursively find and validate all Python code blocks
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self._find_and_validate_scripts(data, validate_code_block)
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def _find_and_validate_scripts(self, obj: Any, validator, path: str = "root"):
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"""Recursively find and validate Python scripts"""
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if isinstance(obj, dict):
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for key, value in obj.items():
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current_path = f"{path}.{key}"
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if key in ['processing_script', 'pre_script'] and isinstance(value, str):
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validator(value, current_path)
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else:
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self._find_and_validate_scripts(value, validator, current_path)
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elif isinstance(obj, list):
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for i, item in enumerate(obj):
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self._find_and_validate_scripts(item, validator, f"{path}[{i}]")
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def _check_python_code_quality(self, code: str, location: str):
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"""Check Python code for common issues and best practices"""
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lines = code.split('\n')
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# Check for empty except blocks
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for i, line in enumerate(lines):
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stripped = line.strip()
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if stripped.startswith('except'):
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# Look for the next non-empty line
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next_line_idx = i + 1
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while next_line_idx < len(lines) and not lines[next_line_idx].strip():
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next_line_idx += 1
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if next_line_idx < len(lines):
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next_line = lines[next_line_idx].strip()
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if next_line == 'pass':
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self.warnings.append(f"{location} line {i+1}: Empty except block with only 'pass'")
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# Check for potential security issues
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dangerous_patterns = [
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('exec(', "Use of exec() can be dangerous"),
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('eval(', "Use of eval() can be dangerous"),
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('__import__(', "Dynamic imports should be used carefully"),
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]
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for pattern, message in dangerous_patterns:
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if pattern in code:
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self.warnings.append(f"{location}: {message}")
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# Check for proper indentation in else blocks
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for i, line in enumerate(lines):
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stripped = line.strip()
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if stripped == 'else:':
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# Check if the next non-empty line exists and is properly indented
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next_line_idx = i + 1
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while next_line_idx < len(lines) and not lines[next_line_idx].strip():
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next_line_idx += 1
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if next_line_idx >= len(lines):
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self.errors.append(f"{location} line {i+1}: 'else:' block has no content")
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elif next_line_idx < len(lines):
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next_line = lines[next_line_idx]
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if not next_line.strip():
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continue # Skip empty lines
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# Check if it's just a comment
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if next_line.strip().startswith('#') and next_line_idx + 1 < len(lines):
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following_line_idx = next_line_idx + 1
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while following_line_idx < len(lines) and not lines[following_line_idx].strip():
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following_line_idx += 1
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if following_line_idx >= len(lines) or lines[following_line_idx].strip().startswith('#'):
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self.errors.append(f"{location} line {i+1}: 'else:' block contains only comments - add 'pass' statement")
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def _validate_activity_rules(self, data: Dict[str, Any]):
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"""Validate universal activity rules"""
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if 'sections' not in data:
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return
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# Check that final steps don't have questions
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for section in data['sections']:
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if 'steps' not in section:
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continue
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steps = section['steps']
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if not steps:
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continue
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# Find steps that don't have next transitions (terminal steps)
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terminal_steps = []
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for step in steps:
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if 'transitions' not in step:
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terminal_steps.append(step)
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continue
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has_continuing_transition = False
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for transition in step['transitions'].values():
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if 'next_section_and_step' in transition:
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has_continuing_transition = True
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break
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if not has_continuing_transition:
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terminal_steps.append(step)
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# Validate terminal steps
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for step in terminal_steps:
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step_id = step.get('step_id', 'unknown')
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section_id = section.get('section_id', 'unknown')
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if 'question' in step:
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self.errors.append(f"Section {section_id}, step {step_id}: Final/terminal steps cannot have questions")
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if 'buckets' in step and step['buckets']:
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self.errors.append(f"Section {section_id}, step {step_id}: Final/terminal steps should not have buckets")
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# Validate metadata_feedback_filter usage
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self._validate_metadata_filters(data)
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# Validate pre_script usage
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self._validate_pre_scripts(data)
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def _validate_metadata_filters(self, data: Dict[str, Any]):
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"""Validate metadata_feedback_filter usage"""
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if 'sections' not in data:
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return
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for section in data['sections']:
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if 'steps' not in section:
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continue
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section_id = section.get('section_id', 'unknown')
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for step in section['steps']:
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step_id = step.get('step_id', 'unknown')
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if 'transitions' not in step:
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continue
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for bucket, transition in step['transitions'].items():
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if 'metadata_feedback_filter' in transition:
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# Check if step has feedback_tokens_for_ai
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if 'feedback_tokens_for_ai' not in step:
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self.warnings.append(f"Section {section_id}, step {step_id}: metadata_feedback_filter used but no feedback_tokens_for_ai defined")
|
|
|
|
def _validate_pre_scripts(self, data: Dict[str, Any]):
|
|
"""Validate pre_script usage"""
|
|
if 'sections' not in data:
|
|
return
|
|
|
|
for section in data['sections']:
|
|
if 'steps' not in section:
|
|
continue
|
|
|
|
section_id = section.get('section_id', 'unknown')
|
|
for step in section['steps']:
|
|
step_id = step.get('step_id', 'unknown')
|
|
|
|
if 'pre_script' in step:
|
|
# Check if step has a question (pre_script should be used with questions)
|
|
if 'question' not in step:
|
|
self.warnings.append(f"Section {section_id}, step {step_id}: pre_script typically used with question steps")
|
|
|
|
# Validate pre_script is a string
|
|
if not isinstance(step['pre_script'], str):
|
|
self.errors.append(f"Section {section_id}, step {step_id}: pre_script must be a string")
|
|
|
|
def _validate_logic_flow(self, data: Dict[str, Any]):
|
|
"""Validate logical flow and transitions between steps"""
|
|
if 'sections' not in data:
|
|
return
|
|
|
|
# Build a map of all available steps
|
|
all_steps = {}
|
|
for section in data['sections']:
|
|
section_id = section.get('section_id')
|
|
if not section_id or 'steps' not in section:
|
|
continue
|
|
|
|
for step in section['steps']:
|
|
step_id = step.get('step_id')
|
|
if step_id:
|
|
all_steps[f"{section_id}:{step_id}"] = step
|
|
|
|
# Validate all transition targets
|
|
for section in data['sections']:
|
|
section_id = section.get('section_id')
|
|
if not section_id or 'steps' not in section:
|
|
continue
|
|
|
|
for step in section['steps']:
|
|
step_id = step.get('step_id')
|
|
if not step_id or 'transitions' not in step:
|
|
continue
|
|
|
|
for bucket, transition in step['transitions'].items():
|
|
if 'next_section_and_step' in transition:
|
|
target = transition['next_section_and_step']
|
|
if target not in all_steps:
|
|
self.errors.append(f"Section {section_id}, step {step_id}: Invalid transition target '{target}'")
|
|
|
|
|
|
def main():
|
|
"""Command line interface for the validator"""
|
|
parser = argparse.ArgumentParser(description='Validate activity YAML files')
|
|
parser.add_argument('files', nargs='+', help='YAML files to validate')
|
|
parser.add_argument('--strict', action='store_true', help='Treat warnings as errors')
|
|
parser.add_argument('--quiet', action='store_true', help='Only show errors')
|
|
|
|
args = parser.parse_args()
|
|
|
|
validator = ActivityYAMLValidator()
|
|
total_errors = 0
|
|
total_warnings = 0
|
|
|
|
for file_path in args.files:
|
|
if not Path(file_path).exists():
|
|
print(f"❌ File not found: {file_path}")
|
|
total_errors += 1
|
|
continue
|
|
|
|
if not args.quiet:
|
|
print(f"\n📄 Validating: {file_path}")
|
|
print("=" * 50)
|
|
|
|
is_valid, errors, warnings = validator.validate_file(file_path)
|
|
|
|
if errors:
|
|
print(f"❌ {len(errors)} error(s):")
|
|
for error in errors:
|
|
print(f" • {error}")
|
|
total_errors += len(errors)
|
|
|
|
if warnings and not args.quiet:
|
|
print(f"⚠️ {len(warnings)} warning(s):")
|
|
for warning in warnings:
|
|
print(f" • {warning}")
|
|
total_warnings += len(warnings)
|
|
|
|
if is_valid and not warnings:
|
|
print(f"✅ {file_path} is valid!")
|
|
elif is_valid:
|
|
print(f"✅ {file_path} is valid (with warnings)")
|
|
else:
|
|
print(f"❌ {file_path} has errors")
|
|
|
|
# Summary
|
|
if not args.quiet:
|
|
print(f"\n📊 Summary:")
|
|
print(f" Files checked: {len(args.files)}")
|
|
print(f" Errors: {total_errors}")
|
|
print(f" Warnings: {total_warnings}")
|
|
|
|
# Exit code
|
|
exit_code = 0
|
|
if total_errors > 0:
|
|
exit_code = 1
|
|
elif args.strict and total_warnings > 0:
|
|
exit_code = 1
|
|
|
|
sys.exit(exit_code)
|
|
|
|
|
|
if __name__ == '__main__':
|
|
main() |