Knowledge, notes, memory and skills, and a harness to make them used
Four places a model can reach for, differing in who writes a record and how it gets in front of the model. **Knowledge** is uploaded by a person and searched by the model. It goes through `services/files.py:prepare` — the same pipeline as a chat attachment — so the same PDF produces the same text whichever way it arrived, and `Document` carries the same content columns as `Attachment` for the same reason. **Notes** are written by the model and edited by you. Too long to inject, so they are searched. **Memory** is short facts, and every one of them goes into every request. That single decision is where the rest of its design comes from: records are capped short, the block has a budget, there is no search tool because the model is already looking at them, and they are not shareable — a record about a person is not content to hand round. **Skills** are saved procedures. Only the name and description are injected; the body is fetched when the model decides one applies, which is what makes a hundred skills affordable. A model may write and revise its own — the safety story is not a gate but a record: every revision is kept, attributed and revertible. A model that has just read a hostile page can save a skill that outlives the conversation, and the honest mitigation is that it is visible and undoable rather than that it was prevented. **The harness** is why any of it gets used. A model handed a tools array ignores it and answers from recall, because nothing in the request suggests otherwise. `services/harness.py` assembles a preamble from what this chat actually has: when to reach for each tool, the memories, the skill index. This is an exception to "system prompts are precedence, not concatenation", and a deliberate one. That rule governs the three *authored* layers and is untouched — exactly one still wins. The harness is a different axis: it describes the machinery rather than the behaviour, nobody authored it, and there is nothing for it to disagree with. It is prepended to whichever authored prompt won, in one system message, since several endpoints reject a second. Supporting changes: - **Sharing**, in one helper. `visible_to()` is the only definition of who can see a library item and every listing and tool goes through it. Sharing grants *reading*; two people editing one note with no history and no merge is worse than copying it. **Administrators do not bypass this** — they bypass permissions elsewhere because an admin can grant themselves those anyway, but reading somebody's private notes is a different act. - **FTS5**, created by `db/migrations.py:ensure_fts` with the triggers an external-content index needs. Idempotent, like the column sync beside it. Terms are ANDed and then ORed: the caller is usually a model writing a whole question, and requiring every word loses the match on one absent term. - **The attach button is a menu** — file, image, a web page, or a document from the library. Attaching a document copies it, because history must not change when a document is edited later. - **A URL fetcher with an SSRF guard.** This server can reach the router, the other services on the box and LLeMbas itself, and the address can come from a model. Private ranges are refused *after resolution* and redirects are followed by hand so every hop is checked. An admin can open it deliberately. - **Model capabilities split** into protocol support and a toggle per built-in tool. Rows predating the split have no `tool_*` keys, and absent counts as on when `tools` is on — otherwise an upgrade silently takes web search away from every model already configured for it. Also fixes the test fixture, which built the schema with `create_all` and so ran against a database without the FTS tables production has; it now runs `sync_schema`, the same path startup takes. 430 tests, ruff clean. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
This commit is contained in:
@@ -21,6 +21,23 @@ from lembas.db.models.chat import (
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Message,
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)
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from lembas.db.models.connection import Connection, Model, model_groups
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from lembas.db.models.library import (
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AUTHOR_MODEL,
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AUTHOR_USER,
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PRINCIPAL_GROUP,
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PRINCIPAL_USER,
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RESOURCE_DOCUMENT,
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RESOURCE_NOTE,
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RESOURCE_SKILL,
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SOURCE_LINK,
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SOURCE_UPLOAD,
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Document,
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Memory,
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Note,
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Share,
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Skill,
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SkillRevision,
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)
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from lembas.db.models.setting import Setting
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from lembas.db.models.user import (
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ROLE_ADMIN,
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@@ -32,25 +49,40 @@ from lembas.db.models.user import (
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)
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__all__ = [
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"AUTHOR_MODEL",
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"AUTHOR_USER",
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"Attachment",
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"KIND_DOCUMENT",
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"KIND_IMAGE",
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"KIND_TEXT",
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"PRINCIPAL_GROUP",
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"PRINCIPAL_USER",
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"RESOURCE_DOCUMENT",
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"RESOURCE_NOTE",
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"RESOURCE_SKILL",
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"ROLE_ADMIN",
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"ROLE_ASSISTANT",
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"ROLE_PENDING",
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"ROLE_SYSTEM",
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"ROLE_TOOL",
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"ROLE_USER",
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"SOURCE_LINK",
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"SOURCE_UPLOAD",
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"Chat",
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"Connection",
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"Document",
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"Folder",
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"Group",
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"Memory",
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"Message",
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"Model",
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"model_groups",
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"Note",
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"Session",
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"Setting",
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"Share",
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"Skill",
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"SkillRevision",
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"User",
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"model_groups",
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"user_groups",
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]
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@@ -0,0 +1,228 @@
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"""What the model can reach for: knowledge, notes, memory and skills.
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Four stores rather than one, because they differ in the two ways that matter --
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who writes a record, and how a record reaches the model:
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* **Document** is uploaded by a person and searched by the model. It is the
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only one holding a file, and it is deliberately shaped like ``Attachment``:
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both come out of ``services.files.prepare`` and carry the same processed
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content.
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* **Note** is written by the model and edited by a person. Long enough that it
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has to be searched rather than injected.
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* **Memory** is one short fact, and *is* injected -- every one of them, every
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turn, up to a budget. Anything that would not survive that treatment belongs
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in a note.
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* **Skill** is a named instruction document. Its description is injected so the
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model knows the skill exists; the body is fetched only when it decides to use
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it, which is what keeps a hundred skills affordable.
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Everything except Memory can be shared -- see ``Share`` below and
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``services.sharing``. Memory cannot: a record about a person is not content to
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hand round, and "share my memories with the team" is a question nobody asked.
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"""
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from __future__ import annotations
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from sqlalchemy import Boolean, ForeignKey, Index, Integer, String, Text, UniqueConstraint
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from sqlalchemy.orm import Mapped, mapped_column, relationship
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from lembas.db.base import Base, Timestamps, UUIDPrimaryKey
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# Who wrote a record. Not decoration: a skill the model wrote itself is the one
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# worth looking at twice when its behaviour changes unexpectedly.
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AUTHOR_USER = "user"
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AUTHOR_MODEL = "model"
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# Where a document came from.
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SOURCE_UPLOAD = "upload"
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SOURCE_LINK = "link"
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# Resource kinds that can be shared. Values are stored, so they are part of the
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# schema rather than an implementation detail.
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RESOURCE_DOCUMENT = "document"
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RESOURCE_NOTE = "note"
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RESOURCE_SKILL = "skill"
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PRINCIPAL_USER = "user"
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PRINCIPAL_GROUP = "group"
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class Document(UUIDPrimaryKey, Timestamps, Base):
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"""One item in a knowledge library: a file, an image or a saved web page.
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The content columns mirror ``Attachment`` exactly because both are produced
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by ``services.files.prepare`` -- images downscaled, PDF text extracted once,
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type decided by sniffing bytes. Keeping the shapes identical is what lets a
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document be attached to a message by copying rather than converting.
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"""
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__tablename__ = "documents"
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owner_id: Mapped[str] = mapped_column(
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String(32), ForeignKey("users.id", ondelete="CASCADE"), nullable=False, index=True
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)
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title: Mapped[str] = mapped_column(String(300), nullable=False)
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description: Mapped[str] = mapped_column(Text, default="")
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source: Mapped[str] = mapped_column(String(16), default=SOURCE_UPLOAD, nullable=False)
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# Set for a saved web page, so it can be re-fetched and cited.
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source_url: Mapped[str] = mapped_column(Text, default="")
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# --- The same content columns as Attachment ---
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filename: Mapped[str] = mapped_column(String(300), default="")
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stored_name: Mapped[str] = mapped_column(String(120), default="")
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media_type: Mapped[str] = mapped_column(String(100), default="")
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size_bytes: Mapped[int] = mapped_column(Integer, default=0, nullable=False)
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kind: Mapped[str] = mapped_column(String(16), default="text", nullable=False)
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width: Mapped[int] = mapped_column(Integer, default=0, nullable=False)
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height: Mapped[int] = mapped_column(Integer, default=0, nullable=False)
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extracted_text: Mapped[str] = mapped_column(Text, default="")
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pages: Mapped[int] = mapped_column(Integer, default=0, nullable=False)
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truncated: Mapped[bool] = mapped_column(Boolean, default=False, nullable=False)
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extraction_error: Mapped[str] = mapped_column(Text, default="")
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@property
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def is_image(self) -> bool:
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return self.kind == "image"
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@property
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def human_size(self) -> str:
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size = float(self.size_bytes)
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for unit in ("B", "KB", "MB"):
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if size < 1024 or unit == "MB":
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return f"{size:.0f} {unit}" if unit == "B" else f"{size:.1f} {unit}"
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size /= 1024
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return f"{size:.1f} MB"
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def __repr__(self) -> str:
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return f"<Document {self.title!r}>"
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class Note(UUIDPrimaryKey, Timestamps, Base):
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"""Something the model wrote down, or a person did.
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Longer and more specific than a memory. Not injected: a handful of notes
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would fill a context window on their own, so the model searches for the one
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it needs.
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"""
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__tablename__ = "notes"
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owner_id: Mapped[str] = mapped_column(
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String(32), ForeignKey("users.id", ondelete="CASCADE"), nullable=False, index=True
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)
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title: Mapped[str] = mapped_column(String(300), nullable=False)
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body: Mapped[str] = mapped_column(Text, default="")
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author: Mapped[str] = mapped_column(String(16), default=AUTHOR_USER, nullable=False)
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def __repr__(self) -> str:
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return f"<Note {self.title!r}>"
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class Memory(UUIDPrimaryKey, Timestamps, Base):
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"""One short fact, in front of the model on every turn.
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Deliberately not shareable and deliberately small. The length cap is
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enforced in the service rather than by the column, so an over-long write
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from a tool is trimmed with an explanation instead of failing the turn.
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"""
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__tablename__ = "memories"
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owner_id: Mapped[str] = mapped_column(
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String(32), ForeignKey("users.id", ondelete="CASCADE"), nullable=False, index=True
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)
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content: Mapped[str] = mapped_column(Text, nullable=False)
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author: Mapped[str] = mapped_column(String(16), default=AUTHOR_MODEL, nullable=False)
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def __repr__(self) -> str:
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return f"<Memory {self.content[:40]!r}>"
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class Skill(UUIDPrimaryKey, Timestamps, Base):
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"""A named set of instructions the model can choose to follow.
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`description` is the load-bearing field: it is what gets injected, and it is
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the only thing the model has to decide whether the skill is relevant. The
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body is fetched with a tool.
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"""
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__tablename__ = "skills"
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__table_args__ = (UniqueConstraint("owner_id", "name"),)
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owner_id: Mapped[str] = mapped_column(
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String(32), ForeignKey("users.id", ondelete="CASCADE"), nullable=False, index=True
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)
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# Slug, referenced by the model when it asks for the body.
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name: Mapped[str] = mapped_column(String(120), nullable=False)
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description: Mapped[str] = mapped_column(Text, default="")
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body: Mapped[str] = mapped_column(Text, default="")
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enabled: Mapped[bool] = mapped_column(Boolean, default=True, nullable=False)
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author: Mapped[str] = mapped_column(String(16), default=AUTHOR_USER, nullable=False)
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revisions: Mapped[list[SkillRevision]] = relationship(
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back_populates="skill",
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cascade="all, delete-orphan",
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order_by="SkillRevision.created_at.desc()",
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)
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def __repr__(self) -> str:
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return f"<Skill {self.name}>"
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class SkillRevision(UUIDPrimaryKey, Timestamps, Base):
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"""The state of a skill before a change.
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A model may rewrite its own skills, so every write snapshots what was there
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first. That is the whole safety story for self-modification: not a gate, but
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a record and a way back.
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"""
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__tablename__ = "skill_revisions"
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skill_id: Mapped[str] = mapped_column(
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String(32), ForeignKey("skills.id", ondelete="CASCADE"), nullable=False, index=True
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)
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description: Mapped[str] = mapped_column(Text, default="")
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body: Mapped[str] = mapped_column(Text, default="")
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# Who made the change this revision is the "before" of.
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author: Mapped[str] = mapped_column(String(16), default=AUTHOR_USER, nullable=False)
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note: Mapped[str] = mapped_column(String(200), default="")
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skill: Mapped[Skill] = relationship(back_populates="revisions")
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class Share(UUIDPrimaryKey, Timestamps, Base):
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"""One grant of access to one resource.
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A single table across documents, notes and skills rather than three
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association tables, because the rule is identical in all three cases and
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``services.sharing`` is the only thing that reads it.
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A grant, never a denial -- the same principle as group permissions. Somebody
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who cannot see a resource simply has no row here.
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"""
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__tablename__ = "shares"
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__table_args__ = (
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UniqueConstraint(
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"resource_type", "resource_id", "principal_type", "principal_id"
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),
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)
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resource_type: Mapped[str] = mapped_column(String(16), nullable=False)
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resource_id: Mapped[str] = mapped_column(String(32), nullable=False)
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principal_type: Mapped[str] = mapped_column(String(16), nullable=False)
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# No foreign key: this column points at users or groups depending on
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# principal_type, and SQLite cannot express that. services.sharing deletes
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# dangling rows when a user or group goes.
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principal_id: Mapped[str] = mapped_column(String(32), nullable=False)
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def __repr__(self) -> str:
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return f"<Share {self.resource_type}:{self.resource_id} -> {self.principal_type}>"
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Index("ix_shares_resource", Share.resource_type, Share.resource_id)
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Index("ix_shares_principal", Share.principal_type, Share.principal_id)
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