Test User
86 lines
3.0 KiB
Python
86 lines
3.0 KiB
Python
"""
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Frontmatter rules engine
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"""
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import json
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import re
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from pathlib import Path
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from typing import List, Tuple
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class RulesEngine:
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def __init__(self, rules_dir: Path):
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self.rules_dir = rules_dir
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self.rules = self._load_rules()
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def _load_rules(self) -> List[dict]:
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"""Load all rule files"""
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rules = []
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if self.rules_dir.exists():
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for rule_file in self.rules_dir.glob('*.json'):
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with open(rule_file, 'r', encoding='utf-8') as f:
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rules.append(json.load(f))
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return rules
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def apply_rules(self, frontmatter: dict) -> Tuple[dict, bool]:
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"""Apply all rules to frontmatter, return (modified_fm, is_conformant)"""
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if not frontmatter:
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return frontmatter, True
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modified = dict(frontmatter)
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violations = []
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# Rule: lowercase keys (run first so we can check other rules)
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key_changes = {}
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for key in list(modified.keys()):
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lower_key = key.lower()
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if lower_key != key:
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key_changes[key] = lower_key
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violations.append('lowercase_keys')
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for old_key, new_key in key_changes.items():
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modified[new_key] = modified.pop(old_key)
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# Rule: tag -> tags (after lowercase conversion)
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if 'tag' in modified:
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modified['tags'] = modified.pop('tag')
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violations.append('tag_to_tags')
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# Rule: summary -> description (after lowercase conversion)
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if 'summary' in modified:
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modified['description'] = modified.pop('summary')
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violations.append('summary_to_description')
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# Rule: normalize tags
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if 'tags' in modified:
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original_tags = modified['tags']
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# Convert to list if comma-separated string
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if isinstance(original_tags, str):
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tags_list = [t.strip() for t in original_tags.split(',')]
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violations.append('tags_format')
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else:
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tags_list = original_tags if isinstance(original_tags, list) else [str(original_tags)]
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# Normalize each tag
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normalized_tags = []
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for tag in tags_list:
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tag_str = str(tag)
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# Replace spaces and hyphens with underscores
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normalized = tag_str.replace(' ', '_').replace('-', '_')
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# Convert to lowercase
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normalized = normalized.lower()
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# Remove invalid characters (keep only alphanumeric and underscore)
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normalized = re.sub(r'[^a-z0-9_]', '', normalized)
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if normalized and normalized != tag_str:
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violations.append('tags_normalized')
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if normalized:
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normalized_tags.append(normalized)
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modified['tags'] = normalized_tags
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is_conformant = len(violations) == 0
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return modified, is_conformant
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