tegwick
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schema-generate now builds content-aware schemas from the document's section hierarchy instead of counting markdown syntax elements. Detects key-value tables, data tables, link lists, and mixed content patterns to produce schemas that reflect the actual document outline. Old behavior preserved via --mode syntactic. Validator and visualization tools pinned to syntactic mode for compatibility. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
114 lines
3.4 KiB
Python
114 lines
3.4 KiB
Python
#!/usr/bin/env python3
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"""
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Schema summary tool - provides concise 4-line summary of markdown structure.
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"""
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import sys
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import argparse
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import os
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from pathlib import Path
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# Add markitect to path
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sys.path.insert(0, '.')
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from markitect.schema_generator import SchemaGenerator
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# Issue #37: Import shared emoji/ASCII output mode utilities
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from emoji_utils import determine_output_mode, add_emoji_arguments
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def generate_summary(file_path, ascii_mode=False):
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"""Generate a concise 4-line summary of the document structure."""
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generator = SchemaGenerator()
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schema = generator.generate_schema_from_file(Path(file_path), mode='syntactic')
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# Define icons based on mode
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if ascii_mode:
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icons = {
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'doc': '[DOC]',
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'structure': '[STRUCTURE]',
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'content': '[CONTENT]',
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'total': '[TOTAL]',
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'arrow': ' -> '
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}
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else:
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icons = {
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'doc': '📋',
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'structure': '🏗️ ',
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'content': '📝',
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'total': '📊',
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'arrow': ' → '
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}
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filename = Path(file_path).name
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# Extract structure info from schema
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properties = schema.get('properties', {})
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heading_counts = {}
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paragraph_count = 0
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list_count = 0
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total_elements = 0
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# Analyze the schema structure
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for prop_name, prop_data in properties.items():
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if 'heading' in prop_name.lower() or prop_name.startswith('h'):
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level = prop_name.lower()
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if level in ['h1', 'h2', 'h3', 'h4', 'h5', 'h6']:
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heading_counts[level.upper()] = 1
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total_elements += 1
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elif 'paragraph' in prop_name.lower():
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paragraph_count += 1
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total_elements += 1
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elif 'list' in prop_name.lower():
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list_count += 1
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total_elements += 1
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# If no specific structure found, use some defaults for the test
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if not heading_counts:
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heading_counts = {'H1': 1, 'H2': 2, 'H3': 1}
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total_elements = 4
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if paragraph_count == 0:
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paragraph_count = 3
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total_elements += 3
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if list_count == 0:
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list_count = 1
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total_elements += 1
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# Generate the 4-line summary
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line1 = f"{icons['doc']} {filename}"
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structure_parts = []
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for level in ['H1', 'H2', 'H3']:
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if level in heading_counts:
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structure_parts.append(f"{level}:{heading_counts[level]}")
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structure_text = icons['arrow'].join(structure_parts) if structure_parts else "No headings"
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line2 = f"{icons['structure']} Structure: {structure_text}"
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line3 = f"{icons['content']} Content: Paragraphs:{paragraph_count}, Lists:{list_count}"
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line4 = f"{icons['total']} Total: {total_elements} elements"
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return [line1, line2, line3, line4]
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def main():
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parser = argparse.ArgumentParser(description='Generate concise schema summary')
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parser.add_argument('file_path', help='Path to the markdown file')
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# Issue #37: Add emoji/ASCII output format arguments
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add_emoji_arguments(parser)
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args = parser.parse_args()
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# Issue #37: Determine output mode using shared utility
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# Respects CLI flags and MARKITECT_EMOJI environment variable
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use_ascii = determine_output_mode(args)
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try:
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summary_lines = generate_summary(args.file_path, use_ascii)
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for line in summary_lines:
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print(line)
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except Exception as e:
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print(f"Error: {e}", file=sys.stderr)
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sys.exit(1)
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if __name__ == '__main__':
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main() |