tegwick
03c6c5e8de
Extract section-tree algorithm from SchemaGenerator into standalone core/section_tree.py and build markitect/infospace/ package with EntityMeta dataclass and parse_entity_file/parse_entity_directory. Foundation for schema compliance, coverage, and granularity metrics. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
55 lines
1.3 KiB
Python
55 lines
1.3 KiB
Python
"""
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Core infrastructure modules for MarkiTect.
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This package contains the fundamental building blocks:
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- Parser: Markdown to AST conversion
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- Serializer: AST to Markdown serialization
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- DocumentManager: Document ingestion and management
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- Workspace: Workspace and project management
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"""
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from .parser import parse_markdown_to_ast
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from .section_tree import build_section_tree, extract_section_text
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from .serializer import ASTSerializer
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from .document_manager import DocumentManager, CleanDocumentManager
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from .workspace import (
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WorkspaceManager,
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WorkspaceTemplate,
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TemplateMetadata,
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TemplateResult,
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WorkspaceCreationResult,
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ProjectResult,
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SyncResult,
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BackupResult,
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RestoreResult,
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WorkspaceState,
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ConflictInfo,
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MergeResult,
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)
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__all__ = [
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# Parser
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"parse_markdown_to_ast",
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# Section tree
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"build_section_tree",
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"extract_section_text",
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# Serializer
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"ASTSerializer",
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# Document Manager
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"DocumentManager",
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"CleanDocumentManager",
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# Workspace
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"WorkspaceManager",
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"WorkspaceTemplate",
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"TemplateMetadata",
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"TemplateResult",
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"WorkspaceCreationResult",
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"ProjectResult",
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"SyncResult",
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"BackupResult",
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"RestoreResult",
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"WorkspaceState",
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"ConflictInfo",
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"MergeResult",
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]
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