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Donkie
332b3e0fe4
This reverts 9aea271.
The column bought one thing, that phase 2 would need no migration, and
cost something worse: it commits the schema to a shape nobody has run a
decoder against. Width, and above all the choice not to make it unique,
were read off a design document rather than off working code, and
goeland86's codec in #880 computes an effective_instance_uuid that may
not mean the same thing. Getting that wrong leaves us altering a
populated column on four databases, which is the exact operation the
"settle the shape before release" rule exists to avoid.
That rule earns its keep for target_type, target_value and filament_id,
where retrofitting a discriminator or a nullability change is painful.
Appending one nullable column later is not painful, so phase 2 can add
it when there is something to write into it.
201 lines
9.3 KiB
Python
201 lines
9.3 KiB
Python
"""SQLAlchemy data models."""
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from datetime import datetime
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from typing import Optional
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from sqlalchemy import ForeignKey, Integer, String, Text
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from sqlalchemy.ext.asyncio import AsyncAttrs
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from sqlalchemy.orm import DeclarativeBase, Mapped, mapped_column, relationship
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# The three `extra` collections below MUST NOT go back to lazy="joined".
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#
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# A spool listing joins spool -> filament -> vendor, so joined eager loading of all
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# three `extra` collections multiplies their rows together: with ~12 spool, ~9
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# filament and ~9 vendor extra fields, one spool costs ~1000 result rows. Measured
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# on a 4911-spool database, a single `GET /spool?limit=30` made SQLite materialize
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# 35674 wide rows and took 431 ms (1358 ms at limit=100) — most of it spent in
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# SQLAlchemy de-duplicating those rows back into 30 objects.
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#
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# selectin loading fetches each collection in one extra `WHERE id IN (...)` query
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# instead, so nothing multiplies: the same request drops to 12 ms / 23 ms (5
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# queries instead of 2) with byte-identical responses.
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class Base(AsyncAttrs, DeclarativeBase):
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pass
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class Vendor(Base):
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__tablename__ = "vendor"
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id: Mapped[int] = mapped_column(Integer, primary_key=True, index=True)
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registered: Mapped[datetime] = mapped_column()
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name: Mapped[str] = mapped_column(String(64))
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empty_spool_weight: Mapped[float | None] = mapped_column(comment="The weight of an empty spool.")
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comment: Mapped[str | None] = mapped_column(String(1024))
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filaments: Mapped[list["Filament"]] = relationship(back_populates="vendor")
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external_id: Mapped[str | None] = mapped_column(String(256))
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extra: Mapped[list["VendorField"]] = relationship(
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back_populates="vendor",
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cascade="save-update, merge, delete, delete-orphan",
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lazy="selectin",
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)
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class Filament(Base):
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__tablename__ = "filament"
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id: Mapped[int] = mapped_column(primary_key=True, index=True)
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registered: Mapped[datetime] = mapped_column()
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name: Mapped[str | None] = mapped_column(String(64))
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vendor_id: Mapped[int | None] = mapped_column(ForeignKey("vendor.id"))
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vendor: Mapped[Optional["Vendor"]] = relationship(back_populates="filaments")
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spools: Mapped[list["Spool"]] = relationship(back_populates="filament")
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material: Mapped[str | None] = mapped_column(String(64))
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price: Mapped[float | None] = mapped_column()
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density: Mapped[float] = mapped_column()
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diameter: Mapped[float] = mapped_column()
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weight: Mapped[float | None] = mapped_column(comment="The filament weight of a full spool (net weight).")
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spool_weight: Mapped[float | None] = mapped_column(comment="The weight of an empty spool.")
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article_number: Mapped[str | None] = mapped_column(String(64))
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comment: Mapped[str | None] = mapped_column(String(1024))
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settings_extruder_temp: Mapped[int | None] = mapped_column(comment="Overridden extruder temperature.")
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settings_bed_temp: Mapped[int | None] = mapped_column(comment="Overridden bed temperature.")
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color_hex: Mapped[str | None] = mapped_column(String(8))
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multi_color_hexes: Mapped[str | None] = mapped_column(String(128))
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multi_color_direction: Mapped[str | None] = mapped_column(String(16))
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external_id: Mapped[str | None] = mapped_column(String(256))
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extra: Mapped[list["FilamentField"]] = relationship(
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back_populates="filament",
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cascade="save-update, merge, delete, delete-orphan",
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lazy="selectin",
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)
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class Spool(Base):
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__tablename__ = "spool"
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id: Mapped[int] = mapped_column(primary_key=True, index=True)
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registered: Mapped[datetime] = mapped_column()
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first_used: Mapped[datetime | None] = mapped_column()
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last_used: Mapped[datetime | None] = mapped_column()
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price: Mapped[float | None] = mapped_column()
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filament_id: Mapped[int] = mapped_column(ForeignKey("filament.id"))
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filament: Mapped["Filament"] = relationship(back_populates="spools")
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initial_weight: Mapped[float | None] = mapped_column()
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spool_weight: Mapped[float | None] = mapped_column()
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used_weight: Mapped[float] = mapped_column()
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location: Mapped[str | None] = mapped_column(String(64))
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lot_nr: Mapped[str | None] = mapped_column(String(64))
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comment: Mapped[str | None] = mapped_column(String(1024))
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archived: Mapped[bool | None] = mapped_column()
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extra: Mapped[list["SpoolField"]] = relationship(
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back_populates="spool",
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cascade="save-update, merge, delete, delete-orphan",
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lazy="selectin",
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)
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# selectin for the same reason as `extra` above: a spool listing already joins
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# filament and vendor, and a joined collection here would multiply against the
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# extra-field rows.
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tags: Mapped[list["Tag"]] = relationship(
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back_populates="spool",
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cascade="save-update, merge, delete, delete-orphan",
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lazy="selectin",
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)
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class Setting(Base):
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__tablename__ = "setting"
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key: Mapped[str] = mapped_column(String(64), primary_key=True, index=True)
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value: Mapped[str] = mapped_column(Text())
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last_updated: Mapped[datetime] = mapped_column()
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class VendorField(Base):
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__tablename__ = "vendor_field"
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vendor_id: Mapped[int] = mapped_column(ForeignKey("vendor.id"), primary_key=True, index=True)
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vendor: Mapped["Vendor"] = relationship(back_populates="extra")
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key: Mapped[str] = mapped_column(String(64), primary_key=True, index=True)
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value: Mapped[str] = mapped_column(Text())
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class FilamentField(Base):
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__tablename__ = "filament_field"
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filament_id: Mapped[int] = mapped_column(ForeignKey("filament.id"), primary_key=True, index=True)
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filament: Mapped["Filament"] = relationship(back_populates="extra")
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key: Mapped[str] = mapped_column(String(64), primary_key=True, index=True)
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value: Mapped[str] = mapped_column(Text())
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class SpoolField(Base):
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__tablename__ = "spool_field"
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spool_id: Mapped[int] = mapped_column(ForeignKey("spool.id"), primary_key=True, index=True)
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spool: Mapped["Spool"] = relationship(back_populates="extra")
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key: Mapped[str] = mapped_column(String(64), primary_key=True, index=True)
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value: Mapped[str] = mapped_column(Text())
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class Tag(Base):
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"""A physical NFC/RFID tag, and the thing tapping it should bring up.
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Many tags per target is a real case rather than a hypothetical: copying a Prusa NFC-V
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tag's payload onto an NTAG215 so a PN532 can read it leaves one spool carrying two
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physical tags with two different UIDs (#776).
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The unique index on `uid` is the point of the table -- one physical tag means exactly
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one thing, enforced. It only means that because every write goes through
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`spoolman.tags.normalize_uid`; see the module docstring there.
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## Why the target is not just `spool_id`
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Only spools are tagged today. The columns are wider than that because the shapes a
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tag might point at are not all rows, and finding that out after release would mean
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altering a populated table's nullability on four databases:
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* `spool_id` / `filament_id` -- targets that ARE rows, so they are real foreign keys
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and the database keeps them honest.
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* `target_value` -- targets that are not rows at all. A location in Spoolman is a
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string on a spool (`Spool.location`), not a table, so a tag that means "show me
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Shelf A" can only carry the value. Adding such a kind later needs no migration:
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only a new `target_type`.
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`target_type` says which of those is in force rather than leaving readers to infer it
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from whichever column is non-null, so a future kind that populates nothing (or
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something new) stays legible.
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Exactly-one-target is enforced in `spoolman.database.tag`, not by a CHECK constraint:
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no migration in this tree uses one, and MySQL below 8.0.16 accepts and silently
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ignores them, so a constraint here would be real on three databases out of four --
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worse than a single enforced path. Same reasoning as `normalize_uid`.
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"""
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__tablename__ = "tag"
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id: Mapped[int] = mapped_column(primary_key=True, index=True)
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uid: Mapped[str] = mapped_column(String(64), unique=True, index=True)
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# Which kind of thing this tag points at; see the class docstring. Values live in
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# spoolman.tags. A string rather than an enum for the same reason `format` is one:
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# new kinds should not need a schema migration on four databases.
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target_type: Mapped[str] = mapped_column(String(16))
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spool_id: Mapped[int | None] = mapped_column(ForeignKey("spool.id"), index=True)
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spool: Mapped["Spool | None"] = relationship(back_populates="tags")
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# No ORM relationship yet, deliberately. Nothing writes filament tags, and a
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# `selectin` collection on Filament would add a query to every filament listing for
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# rows that cannot exist. ON DELETE CASCADE keeps the database honest in the
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# meantime; the relationship arrives with the feature that needs it.
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filament_id: Mapped[int | None] = mapped_column(
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ForeignKey("filament.id", ondelete="CASCADE"),
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index=True,
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)
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# For target kinds addressed by value rather than by row -- a location name. Sized to
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# match Spool.location, which is what it would hold.
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target_value: Mapped[str | None] = mapped_column(String(64))
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# Free-ish string (openprinttag, ntag, bambu, ...) rather than an enum: informational
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# in phase 1, and new tag types appear faster than migrations should.
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format: Mapped[str | None] = mapped_column(String(32))
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added: Mapped[datetime] = mapped_column()
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