httk.data.db.mapping ==================== .. py:module:: httk.data.db.mapping .. autoapi-nested-parse:: Schema-to-SQL mapping: build SQLAlchemy Core tables from resolved :class:`~httk.data.db.schema.TableSchema` IR. :func:`table_for` turns one resolved schema into a :class:`sqlalchemy.Table` registered in a :class:`sqlalchemy.MetaData` (idempotently: an already-built table is returned as-is), recursing into referenced and child-element storable classes so that every foreign-key target exists in the same metadata. :func:`sqlalchemy_metadata` is the convenience wrapper that maps a batch of schemas into one fresh metadata. The relational layout produced here is exactly the one the schema IR documents, plus the store-managed columns: - every parent table gets an ``sid`` integer primary key (autoincrementing, with an attached ``_sid_seq`` sequence for dialects such as DuckDB that need one; SQLite ignores it) and — only under the ``"content_id"`` dedup policy — a unique-indexed ``content_id`` text column; - every child table gets a ``_sid`` integer foreign key (NOT NULL, indexed) and a ``_index`` integer ordering column ahead of its element columns; storable elements become a ``_sid`` foreign key to the element class's table. Index names are deterministic and table-scoped — ``ix_
_`` for plain indexes, ``uq_
_`` for unique ones, columns joined by underscores for composites — truncated with a stable hash suffix when they would exceed common identifier-length limits. Attributes ---------- .. autoapisummary:: httk.data.db.mapping.SID_COLUMN httk.data.db.mapping.CONTENT_ID_COLUMN Functions --------- .. autoapisummary:: httk.data.db.mapping.sqlalchemy_metadata httk.data.db.mapping.table_for Module Contents --------------- .. py:data:: SID_COLUMN :type: Final :value: 'sid' The store-managed integer primary-key column present on every table. .. py:data:: CONTENT_ID_COLUMN :type: Final :value: 'content_id' The store-managed content-identity column of tables with the ``"content_id"`` dedup policy. .. py:function:: sqlalchemy_metadata(schemas: collections.abc.Iterable[httk.data.db.schema.TableSchema]) -> sqlalchemy.MetaData A fresh :class:`sqlalchemy.MetaData` holding the tables of ``schemas`` (recursively). .. py:function:: table_for(schema: httk.data.db.schema.TableSchema, metadata: sqlalchemy.MetaData) -> sqlalchemy.Table The :class:`sqlalchemy.Table` of ``schema`` within ``metadata``, building it on first use. Building is idempotent per metadata — if the table is already registered it is returned unchanged — and recursive: the child tables of the schema and the tables of every referenced storable class (reference fields and storable child elements alike) are built into the same metadata, so all foreign keys resolve.