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https://github.com/basicmachines-co/basic-memory
synced 2026-06-21 13:47:35 +00:00
markdown processing for entity
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"""Markdown parsing and handling for basic-memory."""
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from .parser import EntityParser, ParseError
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__all__ = ["EntityParser", "ParseError"]
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"""
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Parser for Basic Memory entity markdown files.
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"""
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from datetime import datetime
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from pathlib import Path
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from typing import Any, Dict, List, Optional
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import frontmatter
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from markdown_it import MarkdownIt
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from pydantic import BaseModel
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class ParseError(Exception):
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"""Raised when parsing fails"""
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pass
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class Observation(BaseModel):
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"""An observation about an entity."""
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category: str
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content: str
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tags: List[str]
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context: Optional[str] = None
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class Relation(BaseModel):
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"""A relation between entities."""
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target: str # The entity being linked to
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type: str # The type of relation
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context: Optional[str] = None
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class EntityFrontmatter(BaseModel):
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"""Frontmatter metadata for an entity."""
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type: str
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created: datetime
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modified: datetime
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tags: List[str]
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status: Optional[str] = None
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version: Optional[int] = None
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priority: Optional[str] = None
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domain: Optional[str] = None
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maturity: Optional[str] = None
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owner: Optional[str] = None
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review_interval: Optional[str] = None
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last_reviewed: Optional[datetime] = None
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confidence: Optional[str] = None
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aliases: Optional[List[str]] = None
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class EntityContent(BaseModel):
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"""Content sections of an entity markdown file."""
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title: str
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description: Optional[str] = None
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observations: List[Observation] = []
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relations: List[Relation] = []
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context: Optional[str] = None
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metadata: Dict[str, Any] = {}
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class Entity(BaseModel):
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"""Complete entity combining frontmatter and content."""
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frontmatter: EntityFrontmatter
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content: EntityContent
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class EntityParser:
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"""Parser for entity markdown files."""
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def __init__(self):
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self.md = MarkdownIt()
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def _parse_observation(self, line: str) -> Observation:
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"""Parse a single observation line.
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Format: - [category] content #tag1 #tag2 "optional context"
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"""
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# Remove leading "- " if present
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content = line.strip()
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if content.startswith("- "):
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content = content[2:].strip()
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# Extract category
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if not content.startswith("["):
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raise ParseError(f"Invalid observation format, missing category: {line}")
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category_end = content.find("]")
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if category_end == -1:
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raise ParseError(f"Invalid observation format, unclosed category: {line}")
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category = content[1:category_end].strip()
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# Remove category from content
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content = content[category_end + 1:].strip()
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# Extract tags
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tags = []
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words = content.split()
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filtered_words = []
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for word in words:
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if word.startswith("#"):
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tags.append(word[1:]) # Remove # from tag
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else:
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filtered_words.append(word)
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content = " ".join(filtered_words)
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# Extract context if present
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context = None
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if content.endswith('"'):
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last_quote = content.rfind('"')
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second_last_quote = content.rfind('"', 0, last_quote)
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if second_last_quote != -1:
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context = content[second_last_quote + 1:last_quote]
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content = content[:second_last_quote].strip()
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return Observation(
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category=category,
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content=content,
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tags=tags,
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context=context
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)
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def _parse_relation(self, line: str) -> Relation:
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"""Parse a single relation line.
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Format: - [[Entity]] #relation_type "optional context"
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"""
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# Remove leading "- " if present
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content = line.strip()
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if content.startswith("- "):
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content = content[2:].strip()
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# Extract target
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if not content.startswith("[["):
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raise ParseError(f"Invalid relation format, missing [[ : {line}")
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link_end = content.find("]]")
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if link_end == -1:
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raise ParseError(f"Invalid relation format, missing ]] : {line}")
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target = content[2:link_end].strip()
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# Move past ]]
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content = content[link_end + 2:].strip()
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# Extract relation type
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if not content.startswith("#"):
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raise ParseError(f"Invalid relation format, missing relation type: {line}")
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words = content.split()
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rel_type = words[0][1:] # Remove # from type
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# Extract context if present
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context = None
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remaining = " ".join(words[1:])
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if remaining:
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if remaining.startswith('"') and remaining.endswith('"'):
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context = remaining[1:-1]
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return Relation(
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target=target,
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type=rel_type,
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context=context
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)
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def _parse_metadata_line(self, line: str) -> tuple[str, str]:
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"""Parse a single metadata line."""
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if ":" not in line:
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return None, None
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key, value = line.split(":", 1)
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return key.strip(), value.strip()
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def parse_file(self, path: Path) -> Entity:
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"""Parse an entity markdown file."""
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if not path.exists():
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raise ParseError(f"File does not exist: {path}")
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try:
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# Parse frontmatter and content
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post = frontmatter.load(path)
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# Parse frontmatter
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frontmatter_data = EntityFrontmatter(**post.metadata)
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# Parse markdown
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tokens = self.md.parse(post.content)
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# Extract title, description, observations, etc
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title = ""
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description = ""
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observations = []
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relations = []
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context = ""
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metadata = {}
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current_section = None
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collecting_description = False
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for token in tokens:
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if token.type == "heading_open" and token.tag == "h1":
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# Next token will be title
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current_section = "title"
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elif token.type == "heading_open" and token.tag == "h2":
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# Next token will be section name
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current_section = "section_name"
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collecting_description = False
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elif token.type == "inline":
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if current_section == "title":
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title = token.content
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current_section = None
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elif current_section == "section_name":
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section_name = token.content.lower()
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if section_name == "description":
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collecting_description = True
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current_section = section_name
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elif collecting_description:
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description = token.content
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elif current_section == "observations":
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if token.content.strip(): # Skip empty lines
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observations.append(self._parse_observation(token.content))
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elif current_section == "relations":
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if token.content.strip(): # Skip empty lines
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relations.append(self._parse_relation(token.content))
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elif current_section == "context":
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context = token.content
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elif current_section == "metadata":
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# Process each line of metadata separately
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for line in token.content.split("\n"):
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key, value = self._parse_metadata_line(line.strip())
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if key and value:
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metadata[key] = value
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# Create EntityContent
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content_data = EntityContent(
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title=title,
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description=description,
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observations=observations,
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relations=relations,
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context=context,
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metadata=metadata
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)
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# Return complete Entity
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return Entity(
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frontmatter=frontmatter_data,
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content=content_data
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)
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except Exception as e:
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raise ParseError(f"Failed to parse {path}: {str(e)}") from e
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