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basic-memory

entity_parser.py4.54 kB
"""Parser for markdown files into Entity objects. Uses markdown-it with plugins to parse structured data from markdown content. """ from dataclasses import dataclass, field from datetime import datetime from pathlib import Path from typing import Any, Optional import dateparser import frontmatter from markdown_it import MarkdownIt from basic_memory.markdown.plugins import observation_plugin, relation_plugin from basic_memory.markdown.schemas import ( EntityFrontmatter, EntityMarkdown, Observation, Relation, ) from basic_memory.utils import parse_tags md = MarkdownIt().use(observation_plugin).use(relation_plugin) @dataclass class EntityContent: content: str observations: list[Observation] = field(default_factory=list) relations: list[Relation] = field(default_factory=list) def parse(content: str) -> EntityContent: """Parse markdown content into EntityMarkdown.""" # Parse content for observations and relations using markdown-it observations = [] relations = [] if content: for token in md.parse(content): # check for observations and relations if token.meta: if "observation" in token.meta: obs = token.meta["observation"] observation = Observation.model_validate(obs) observations.append(observation) if "relations" in token.meta: rels = token.meta["relations"] relations.extend([Relation.model_validate(r) for r in rels]) return EntityContent( content=content, observations=observations, relations=relations, ) # def parse_tags(tags: Any) -> list[str]: # """Parse tags into list of strings.""" # if isinstance(tags, (list, tuple)): # return [str(t).strip() for t in tags if str(t).strip()] # return [t.strip() for t in tags.split(",") if t.strip()] class EntityParser: """Parser for markdown files into Entity objects.""" def __init__(self, base_path: Path): """Initialize parser with base path for relative permalink generation.""" self.base_path = base_path.resolve() def parse_date(self, value: Any) -> Optional[datetime]: """Parse date strings using dateparser for maximum flexibility. Supports human friendly formats like: - 2024-01-15 - Jan 15, 2024 - 2024-01-15 10:00 AM - yesterday - 2 days ago """ if isinstance(value, datetime): return value if isinstance(value, str): parsed = dateparser.parse(value) if parsed: return parsed return None async def parse_file(self, path: Path | str) -> EntityMarkdown: """Parse markdown file into EntityMarkdown.""" # Check if the path is already absolute if ( isinstance(path, Path) and path.is_absolute() or (isinstance(path, str) and Path(path).is_absolute()) ): absolute_path = Path(path) else: absolute_path = self.get_file_path(path) # Parse frontmatter and content using python-frontmatter file_content = absolute_path.read_text(encoding="utf-8") return await self.parse_file_content(absolute_path, file_content) def get_file_path(self, path): """Get absolute path for a file using the base path for the project.""" return self.base_path / path async def parse_file_content(self, absolute_path, file_content): post = frontmatter.loads(file_content) # Extract file stat info file_stats = absolute_path.stat() metadata = post.metadata metadata["title"] = post.metadata.get("title", absolute_path.stem) metadata["type"] = post.metadata.get("type", "note") tags = parse_tags(post.metadata.get("tags", [])) # pyright: ignore if tags: metadata["tags"] = tags # frontmatter entity_frontmatter = EntityFrontmatter( metadata=post.metadata, ) entity_content = parse(post.content) return EntityMarkdown( frontmatter=entity_frontmatter, content=post.content, observations=entity_content.observations, relations=entity_content.relations, created=datetime.fromtimestamp(file_stats.st_ctime).astimezone(), modified=datetime.fromtimestamp(file_stats.st_mtime).astimezone(), )

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