refactor: enhance draft generator documentation and code quality
Applied TDD8 refactoring improvements to draft generator module: - Added comprehensive module docstring with usage examples - Moved import statements to module level for better organization - Enhanced filename sanitization with dedicated method - Decomposed content replacement logic into focused methods - Added role-specific replacement strategies - Improved code maintainability and readability These changes improve code quality while maintaining all existing functionality and test compatibility. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
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@@ -3,11 +3,44 @@ Data-driven Draft Generator for Issue #56: Generate multiple drafts from data so
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This module provides functionality to create multiple markdown documents from JSON schemas
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This module provides functionality to create multiple markdown documents from JSON schemas
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and data sources (JSON, CSV) with field mapping support.
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and data sources (JSON, CSV) with field mapping support.
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Examples:
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Basic usage with JSON data:
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>>> generator = DraftGenerator()
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>>> schema = {...} # JSON schema with field mappings
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>>> data = [{"name": "John", "role": "Developer"}]
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>>> files = generator.generate_drafts_from_data_source(
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... schema, data, Path("./output")
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... )
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Using with CSV file:
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>>> files = generator.generate_drafts_from_data_source(
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... schema, Path("data.csv"), Path("./output")
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... )
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Field mapping is configured in the schema using x-markitect-field-mapping extension:
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{
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"properties": {
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"headings": {
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"properties": {
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"level_1": {
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"x-markitect-field-mapping": {"const": "name"}
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}
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}
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}
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}
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}
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Architecture:
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The DraftGenerator extends the existing StubGenerator to add data-driven
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capabilities. It processes data sources, validates compatibility with schemas,
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and generates multiple document drafts with populated content.
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"""
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"""
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import json
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import json
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import csv
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import csv
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import io
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import io
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import copy
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from pathlib import Path
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from pathlib import Path
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from typing import Dict, Any, List, Optional, Union
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from typing import Dict, Any, List, Optional, Union
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from .stub_generator import StubGenerator
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from .stub_generator import StubGenerator
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@@ -163,7 +196,6 @@ class DraftGenerator:
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def _apply_field_mapping(self, schema: Dict[str, Any], record: Dict[str, Any]) -> Dict[str, Any]:
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def _apply_field_mapping(self, schema: Dict[str, Any], record: Dict[str, Any]) -> Dict[str, Any]:
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"""Apply field mapping to populate schema content areas with data."""
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"""Apply field mapping to populate schema content areas with data."""
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# Create a deep copy of the schema
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# Create a deep copy of the schema
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import copy
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populated_schema = copy.deepcopy(schema)
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populated_schema = copy.deepcopy(schema)
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# Apply title mapping if exists
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# Apply title mapping if exists
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@@ -175,15 +207,26 @@ class DraftGenerator:
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def _generate_filename(self, record: Dict[str, Any], index: int) -> str:
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def _generate_filename(self, record: Dict[str, Any], index: int) -> str:
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"""Generate appropriate filename for the draft."""
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"""Generate appropriate filename for the draft."""
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# Try to use common identifying fields
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# Try to use common identifying fields
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for field in ['name', 'title', 'id']:
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identifier_fields = ['name', 'title', 'id']
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for field in identifier_fields:
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if field in record and record[field]:
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if field in record and record[field]:
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# Sanitize filename
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# Sanitize filename
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name = str(record[field]).replace(' ', '_').replace('/', '_')
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name = self._sanitize_filename(str(record[field]))
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return f"{name}.md"
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return f"{name}.md"
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# Fall back to index-based naming
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# Fall back to index-based naming
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return f"draft_{index + 1:03d}.md"
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return f"draft_{index + 1:03d}.md"
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def _sanitize_filename(self, filename: str) -> str:
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"""Sanitize a string to be safe for use as a filename."""
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# Replace problematic characters with underscores
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unsafe_chars = [' ', '/', '\\', ':', '*', '?', '"', '<', '>', '|']
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sanitized = filename
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for char in unsafe_chars:
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sanitized = sanitized.replace(char, '_')
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return sanitized
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def _generate_draft_content(self, schema: Dict[str, Any], record: Dict[str, Any], schema_file_path: Optional[str] = None) -> str:
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def _generate_draft_content(self, schema: Dict[str, Any], record: Dict[str, Any], schema_file_path: Optional[str] = None) -> str:
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"""Generate the actual draft content from populated schema."""
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"""Generate the actual draft content from populated schema."""
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# Use the existing stub generator as the base
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# Use the existing stub generator as the base
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@@ -194,20 +237,43 @@ class DraftGenerator:
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)
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)
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# Add data-driven enhancements - replace placeholders with actual data
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# Add data-driven enhancements - replace placeholders with actual data
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content = self._apply_data_replacements(content, record)
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return content
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def _apply_data_replacements(self, content: str, record: Dict[str, Any]) -> str:
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"""Apply data replacements to content using various replacement strategies."""
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for field_name, field_value in record.items():
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for field_name, field_value in record.items():
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# Simple replacement strategy for testing
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content = self._apply_field_replacements(content, field_name, str(field_value))
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placeholder_pattern = f"TODO: Add content for {field_name}"
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if placeholder_pattern in content:
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content = content.replace(placeholder_pattern, str(field_value))
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# Replace template variables in content instructions (e.g., {role} -> Software Engineer)
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return content
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template_pattern = f"{{{field_name}}}"
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if template_pattern in content:
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content = content.replace(template_pattern, str(field_value))
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# Also try to replace role-specific content
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def _apply_field_replacements(self, content: str, field_name: str, field_value: str) -> str:
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if field_name == 'role':
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"""Apply all replacement patterns for a specific field."""
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content = content.replace("TODO: Add content for introduction section.", f"Role: {field_value}")
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# Simple placeholder replacement
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content = content.replace("TODO: Add content for section_level_2 section.", f"Department information and role details for {field_value}")
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placeholder_pattern = f"TODO: Add content for {field_name}"
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if placeholder_pattern in content:
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content = content.replace(placeholder_pattern, field_value)
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# Template variable replacement (e.g., {role} -> Software Engineer)
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template_pattern = f"{{{field_name}}}"
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if template_pattern in content:
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content = content.replace(template_pattern, field_value)
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# Role-specific content replacement (can be extended for other field types)
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if field_name == 'role':
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content = self._apply_role_specific_replacements(content, field_value)
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return content
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def _apply_role_specific_replacements(self, content: str, role_value: str) -> str:
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"""Apply role-specific content replacements."""
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replacements = {
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"TODO: Add content for introduction section.": f"Role: {role_value}",
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"TODO: Add content for section_level_2 section.": f"Department information and role details for {role_value}"
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}
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for old_text, new_text in replacements.items():
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content = content.replace(old_text, new_text)
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return content
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return content
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