mirror of
https://github.com/basicmachines-co/basic-memory
synced 2026-06-21 13:47:35 +00:00
219 lines
7.5 KiB
Python
219 lines
7.5 KiB
Python
"""Knowledge graph models."""
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import re
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from datetime import datetime
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from typing import Optional
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from sqlalchemy import (
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Integer,
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String,
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Text,
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ForeignKey,
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UniqueConstraint,
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text,
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DateTime,
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Index,
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JSON,
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)
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from sqlalchemy.orm import Mapped, mapped_column, relationship, validates
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from basic_memory.models.base import Base
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from enum import Enum
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from basic_memory.utils import generate_permalink
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class Entity(Base):
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"""
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Core entity in the knowledge graph.
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Entities represent semantic nodes maintained by the AI layer. Each entity:
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- Has a unique numeric ID (database-generated)
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- Maps to a file on disk
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- Maintains a checksum for change detection
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- Tracks both source file and semantic properties
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"""
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__tablename__ = "entity"
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__table_args__ = (
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UniqueConstraint("permalink", name="uix_entity_permalink"), # Make permalink unique
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Index("ix_entity_type", "entity_type"),
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Index("ix_entity_title", "title"),
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Index("ix_entity_created_at", "created_at"), # For timeline queries
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Index("ix_entity_updated_at", "updated_at"), # For timeline queries
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)
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# Core identity
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id: Mapped[int] = mapped_column(Integer, primary_key=True)
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title: Mapped[str] = mapped_column(String)
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entity_type: Mapped[str] = mapped_column(String)
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entity_metadata: Mapped[Optional[dict]] = mapped_column(JSON, nullable=True)
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content_type: Mapped[str] = mapped_column(String)
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# Normalized path for URIs
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permalink: Mapped[str] = mapped_column(String, unique=True, index=True)
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# Actual filesystem relative path
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file_path: Mapped[str] = mapped_column(String, unique=True, index=True)
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# checksum of file
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checksum: Mapped[Optional[str]] = mapped_column(String, nullable=True)
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# Content summary
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summary: Mapped[Optional[str]] = mapped_column(Text, nullable=True)
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# Metadata and tracking
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created_at: Mapped[datetime] = mapped_column(DateTime, server_default=text("CURRENT_TIMESTAMP"))
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updated_at: Mapped[datetime] = mapped_column(
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DateTime, server_default=text("CURRENT_TIMESTAMP"), onupdate=text("CURRENT_TIMESTAMP")
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)
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# Relationships
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observations = relationship(
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"Observation", back_populates="entity", cascade="all, delete-orphan"
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)
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outgoing_relations = relationship(
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"Relation",
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back_populates="from_entity",
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foreign_keys="[Relation.from_id]",
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cascade="all, delete-orphan",
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)
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incoming_relations = relationship(
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"Relation",
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back_populates="to_entity",
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foreign_keys="[Relation.to_id]",
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cascade="all, delete-orphan",
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)
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@property
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def relations(self):
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return self.incoming_relations + self.outgoing_relations
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@validates("permalink")
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def validate_permalink(self, key, value):
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"""Validate permalink format.
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Requirements:
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1. Must be valid URI path component
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2. Only lowercase letters, numbers, and hyphens (no underscores)
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3. Path segments separated by forward slashes
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4. No leading/trailing hyphens in segments
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"""
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if not value:
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raise ValueError("Permalink must not be None")
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if not re.match(r"^[a-z0-9][a-z0-9\-/]*[a-z0-9]$", value):
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raise ValueError(
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f"Invalid permalink format: {value}. "
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"Use only lowercase letters, numbers, and hyphens."
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)
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return value
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def __repr__(self) -> str:
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return f"Entity(id={self.id}, name='{self.title}', type='{self.entity_type}', summary='{self.summary}')"
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class ObservationCategory(str, Enum):
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TECH = "tech"
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DESIGN = "design"
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FEATURE = "feature"
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NOTE = "note"
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ISSUE = "issue"
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TODO = "todo"
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class Observation(Base):
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"""
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An observation about an entity.
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Observations are atomic facts or notes about an entity.
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"""
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__tablename__ = "observation"
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__table_args__ = (
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Index("ix_observation_entity_id", "entity_id"), # Add FK index
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Index("ix_observation_category", "category"), # Add category index
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Index("ix_observation_created_at", "created_at"), # For timeline queries
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Index("ix_observation_updated_at", "updated_at"), # For timeline queries
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)
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id: Mapped[int] = mapped_column(Integer, primary_key=True)
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entity_id: Mapped[int] = mapped_column(Integer, ForeignKey("entity.id", ondelete="CASCADE"))
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content: Mapped[str] = mapped_column(Text)
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category: Mapped[str] = mapped_column(
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String,
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nullable=False,
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default=ObservationCategory.NOTE.value,
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server_default=ObservationCategory.NOTE.value,
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)
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context: Mapped[str] = mapped_column(Text, nullable=True)
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tags: Mapped[Optional[list[str]]] = mapped_column(
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JSON, nullable=True, default=list, server_default="[]"
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)
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created_at: Mapped[datetime] = mapped_column(DateTime, server_default=text("CURRENT_TIMESTAMP"))
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updated_at: Mapped[datetime] = mapped_column(
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DateTime, server_default=text("CURRENT_TIMESTAMP"), onupdate=text("CURRENT_TIMESTAMP")
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)
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# Relationships
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entity = relationship("Entity", back_populates="observations")
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@property
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def permalink(self) -> str:
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"""
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Create synthetic permalink for the observation
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We can construct these because observations are always
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defined in and owned by a single entity
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"""
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return generate_permalink(
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f"{self.entity.permalink}/observations/{self.category}/{self.content}"
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)
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def __repr__(self) -> str:
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return f"Observation(id={self.id}, entity_id={self.entity_id}, content='{self.content}')"
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class Relation(Base):
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"""
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A directed relation between two entities.
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"""
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__tablename__ = "relation"
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__table_args__ = (
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UniqueConstraint("from_id", "to_id", "relation_type", name="uix_relation"),
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Index("ix_relation_type", "relation_type"),
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Index("ix_relation_from_id", "from_id"), # Add FK indexes
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Index("ix_relation_to_id", "to_id"),
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Index("ix_relation_created_at", "created_at"), # For timeline queries
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Index("ix_relation_updated_at", "updated_at"), # For timeline queries
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)
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id: Mapped[int] = mapped_column(Integer, primary_key=True)
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from_id: Mapped[int] = mapped_column(Integer, ForeignKey("entity.id", ondelete="CASCADE"))
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to_id: Mapped[int] = mapped_column(Integer, ForeignKey("entity.id", ondelete="CASCADE"))
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relation_type: Mapped[str] = mapped_column(String)
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context: Mapped[str] = mapped_column(Text, nullable=True)
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created_at: Mapped[datetime] = mapped_column(DateTime, server_default=text("CURRENT_TIMESTAMP"))
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updated_at: Mapped[datetime] = mapped_column(
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DateTime, server_default=text("CURRENT_TIMESTAMP"), onupdate=text("CURRENT_TIMESTAMP")
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)
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# Relationships
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from_entity = relationship(
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"Entity", foreign_keys=[from_id], back_populates="outgoing_relations"
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)
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to_entity = relationship("Entity", foreign_keys=[to_id], back_populates="incoming_relations")
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@property
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def permalink(self) -> str:
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"""Create relation permalink showing the semantic connection:
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source/relation_type/target
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e.g., "specs/search/implements/features/search-ui"
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"""
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return generate_permalink(
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f"{self.from_entity.permalink}/{self.relation_type}/{self.to_entity.permalink}"
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)
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def __repr__(self) -> str:
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return f"Relation(id={self.id}, from_id={self.from_id}, to_id={self.to_id}, type='{self.relation_type}')"
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