Add migration script for universe 5 -> 6

Add a script for upgrading the dimension universe config to match the daf_butler dimensions.yaml changes in DM-42636.

doc/lsst.daf.butler_migrate/migrations/dimensions-config.rst

@@ -71,3 +71,18 @@ Migration script: `2a8a32e1bec3.py <https://github.com/lsst-dm/daf_butler_migrat
 
 Alters ``instrument`` table schema, changes ``name`` column size to 32 from 16.
 Updates ``config:dimensions.json`` with a matching change to ``instrument`` element.
+
+daf_butler 5 to 6
+=================
+
+Migration script: `1fae088c80b6.py  <https://github.com/lsst-dm/daf_butler_migrate/blob/main/migrations/dimensions-config/1fae088c80b6.py>`_
+
+Supports group and day_obs as dimensions.
+
+- Add ``group`` table, and populate it based on the ``group_name`` field in the ``exposure`` table.
+- Add ``day_obs`` table, and populate based on the ``day_obs`` field from the
+  ``exposure`` table and timespan offsets from Butler ``Instrument`` classes.
+- Rename ``group_name`` in the exposure table to ``group``.
+- Update the ``exposure`` table so ``group`` and ``day_obs`` are foreign keys to the new tables.
+- Remove ``group_id`` from ``exposure`` table.
+- Update ``config:dimensions.json`` to universe 6.

migrations/dimensions-config/1fae088c80b6.py

@@ -0,0 +1,316 @@
+"""Migration script for dimensions.yaml namespace=daf_butler version=6.
+
+Revision ID: 1fae088c80b6
+Revises: 2a8a32e1bec3
+Create Date: 2024-03-12 14:35:38.888572
+
+"""
+
+from __future__ import annotations
+
+import logging
+from collections.abc import Iterator
+from typing import Any, TypeAlias
+
+import alembic
+import sqlalchemy as sa
+from alembic import op
+from lsst.daf.butler import Timespan
+from lsst.daf.butler_migrate.butler_attributes import ButlerAttributes
+from lsst.daf.butler_migrate.naming import make_string_length_constraint
+from lsst.daf.butler_migrate.timespan import create_timespan_column_definitions, format_timespan_value
+from lsst.utils import doImportType
+
+# revision identifiers, used by Alembic.
+revision = "1fae088c80b6"
+down_revision = "2a8a32e1bec3"
+branch_labels = None
+depends_on = None
+
+# Logger name should start with lsst to work with butler logging option.
+_LOG = logging.getLogger(f"lsst.{__name__}")
+
+
+def upgrade() -> None:
+    """Upgrade from version 5 to version 6 following update of dimensions.yaml in DM-42636.
+
+    - Add ``group`` table, and populate it based on the ``group_name`` field in
+      the ``exposure`` table.
+    - Add ``day_obs`` table, and populate based on the ``day_obs`` field from
+      the ``exposure`` table and timespan offsets from Butler ``Instrument``
+      classes.
+    - Rename ``group_name`` in the exposure table to ``group``.
+    - Update the ``exposure`` table so ``group`` and ``day_obs`` are foreign
+      keys to the new tables.
+    - Remove ``group_id`` from ``exposure`` table.
+    - Update ``config:dimensions.json`` to universe 6.
+    """
+    ctx = _Context()
+    _lock_exposure_table(ctx)
+    _validate_initial_dimension_universe(ctx)
+    _migrate_day_obs(ctx)
+    _migrate_groups(ctx)
+    _migrate_dimensions_json(ctx)
+
+
+def downgrade() -> None:
+    """Perform schema downgrade."""
+    raise NotImplementedError()
+
+
+def _lock_exposure_table(ctx: _Context) -> None:
+    # In this migration we generate new tables based on the content of the
+    # exposure table, so make sure that it is not modified while we are
+    # working.
+
+    if ctx.is_sqlite:
+        # Sqlite does not support table locks
+        return
+
+    _LOG.info("Locking exposure table")
+    schema = ""
+    if ctx.schema:
+        schema = f"{ctx.schema}."
+    ctx.bind.execute(sa.text(f"LOCK TABLE {schema}exposure IN EXCLUSIVE MODE"))
+
+
+def _validate_initial_dimension_universe(ctx: _Context) -> None:
+    config = ctx.mig_context.config
+    allow_mismatch = config is not None and "1" == config.get_section_option(
+        "daf_butler_migrate_options", "allow_dimension_universe_mismatch"
+    )
+    if not allow_mismatch:
+        _LOG.info("Checking that this is an unmodified daf_butler universe 5 repo")
+        try:
+            ctx.attributes.validate_dimensions_json(5)
+        except ValueError as e:
+            e.add_note(
+                "Repositories originally created at dimension universe 1 or earlier may have incorrect"
+                " documentation strings.\n"
+                "Re-run butler migrate with the flag '--options allow_dimension_universe_mismatch=1' to"
+                " bypass this check.\n"
+                "This will overwrite any customizations made to the dimension universe."
+            )
+            raise
+
+
+def _migrate_groups(ctx: _Context) -> None:
+    # Create group table
+    _LOG.info("Creating group table")
+    check_constraints = []
+    if ctx.is_sqlite:
+        check_constraints = [make_string_length_constraint("instrument", 32, "group_len_instrument")]
+    table = op.create_table(
+        "group",
+        sa.Column("instrument", sa.String(32), primary_key=True),
+        sa.Column("name", sa.Text, primary_key=True),
+        sa.schema.ForeignKeyConstraint(
+            columns=["instrument"],
+            refcolumns=[ctx.get_table("instrument").c.name],
+            name="fkey_group_instrument_name_instrument",
+        ),
+        *check_constraints,
+        schema=ctx.schema,
+    )
+
+    # Populate group table based on the data in the exposure table.
+    _LOG.info("Populating group table")
+    exposure_table = ctx.get_table("exposure")
+    select = sa.select(
+        exposure_table.columns["instrument"],
+        exposure_table.columns["group_name"],
+    ).distinct()
+    op.execute(
+        table.insert().from_select(
+            [
+                "instrument",
+                "name",
+            ],
+            select,
+        )
+    )
+
+    # Create index on instrument
+    _LOG.info("Creating instrument index for group table")
+    op.create_index(
+        "group_fkidx_instrument",
+        "group",
+        ["instrument"],
+        schema=ctx.schema,
+    )
+
+    # Update the exposure table to reference the group table.
+    _LOG.info("Updating exposure table to reference group table")
+    with op.batch_alter_table("exposure", schema=ctx.schema) as batch_op:
+        batch_op.alter_column("group_name", new_column_name="group", nullable=False)
+        batch_op.drop_column("group_id")
+
+    # In theory we should do this create_foreign_key as part of the batch
+    # above.  However, there is some undocumented weirdness with the column
+    # rename from "group_name" to "group".  When done in the batch above, this
+    # foreign key only works if you specify the original column name instead of
+    # the final one.  This seems fragile (and is likely incompatible with
+    # Postgres, which ignores the batching). So do it in a separate batch.
+    with op.batch_alter_table("exposure", schema=ctx.schema) as batch_op:
+        batch_op.create_foreign_key(
+            constraint_name="fkey_exposure_group_instrument_name_instrument_group",
+            referent_table="group",
+            local_cols=["instrument", "group"],
+            remote_cols=["instrument", "name"],
+            referent_schema=ctx.schema,
+        )
+
+    # Create index on exposure for group fkey
+    op.create_index(
+        "exposure_fkidx_instrument_group",
+        "exposure",
+        ["instrument", "group"],
+        schema=ctx.schema,
+    )
+
+
+def _migrate_day_obs(ctx: _Context) -> None:
+    # Before doing anything else, generate the rows for the new day_obs table
+    # from the data in the exposure table.  This is prone to failure due to the
+    # need to import instrument classes.
+    _LOG.info("Generating data for day_obs table from exposure_table")
+    day_obs_rows = list(_generate_day_obs_rows(ctx))
+
+    # Create day_obs table
+    _LOG.info("Creating day_obs table")
+    check_constraints = []
+    if ctx.is_sqlite:
+        check_constraints = [make_string_length_constraint("instrument", 32, "day_obs_len_instrument")]
+
+    table = op.create_table(
+        "day_obs",
+        sa.Column("instrument", sa.String(32), primary_key=True),
+        sa.Column("id", sa.BigInteger, primary_key=True, autoincrement=False),
+        *create_timespan_column_definitions("timespan", ctx.dialect),
+        sa.schema.ForeignKeyConstraint(
+            columns=["instrument"],
+            refcolumns=[ctx.get_table("instrument").c.name],
+            name="fkey_day_obs_instrument_name_instrument",
+        ),
+        *check_constraints,
+        schema=ctx.schema,
+    )
+
+    # Populate the day_obs table based on the data in the exposure table.
+    _LOG.info("Populating day_obs table")
+    op.bulk_insert(table, day_obs_rows)
+
+    # Create index on instrument
+    _LOG.info("Creating instrument index for day_obs table")
+    op.create_index(
+        "day_obs_fkidx_instrument",
+        "day_obs",
+        ["instrument"],
+        schema=ctx.schema,
+    )
+
+    # Update exposure table to reference day_obs table
+    _LOG.info("Updating exposure table to reference day_obs table")
+    with op.batch_alter_table("exposure", schema=ctx.schema) as batch_op:
+        batch_op.alter_column("day_obs", nullable=False)
+        batch_op.create_foreign_key(
+            constraint_name="fkey_exposure_day_obs_instrument_id_instrument_day_obs",
+            referent_table="day_obs",
+            local_cols=["instrument", "day_obs"],
+            remote_cols=["instrument", "id"],
+            referent_schema=ctx.schema,
+        )
+
+    # Create index on exposure for day_obs fkey
+    op.create_index(
+        "exposure_fkidx_instrument_day_obs",
+        "exposure",
+        ["instrument", "day_obs"],
+        schema=ctx.schema,
+    )
+
+
+def _migrate_dimensions_json(ctx: _Context) -> None:
+    _LOG.info("Updating dimensions.json in ButlerAttributes")
+    ctx.attributes.replace_dimensions_json(6)
+
+
+def _generate_day_obs_rows(ctx: _Context) -> Iterator[dict]:
+    exposure_table = ctx.get_table("exposure")
+    select = sa.select(
+        exposure_table.columns["instrument"],
+        exposure_table.columns["day_obs"],
+    ).distinct()
+    rows = ctx.bind.execute(select).all()
+
+    instrument_fetcher = _InstrumentFetcher(ctx)
+    for row in rows:
+        day_obs = row.day_obs
+
+        # Different instruments define the start and end times for day_obs differently.
+        instrument_name = row.instrument
+        instrument_class = instrument_fetcher.get_instrument(instrument_name)
+        offset = _get_day_obs_offset(instrument_name, instrument_class, day_obs)
+
+        timespan = Timespan.from_day_obs(day_obs, offset)
+        yield {
+            "instrument": row.instrument,
+            "id": day_obs,
+            **format_timespan_value(timespan, "timespan", ctx.dialect),
+        }
+
+
+def _get_day_obs_offset(instrument_name: str, instrument: _Instrument, day_obs: int) -> int:
+    day_as_astropy_time = Timespan.from_day_obs(day_obs, 0).begin
+    translator = instrument.translatorClass
+    if translator is None:
+        raise TypeError(
+            f"Instrument {instrument_name} does not have a translatorClass defined,"
+            " cannot determine offset for day_obs."
+        )
+    offset = translator.observing_date_to_offset(day_as_astropy_time)
+    # Convert astropy TimeDelta to integer seconds.
+    return round(offset.to_value("s"))
+
+
+class _Context:
+    def __init__(self) -> None:
+        self.mig_context = alembic.context.get_context()
+        self.schema = self.mig_context.version_table_schema
+        bind = self.mig_context.bind
+        assert bind is not None, "Can't run offline -- need access to database to migrate data."
+        self.bind = bind
+        self.dialect = self.bind.dialect.name
+        self.is_sqlite = self.dialect == "sqlite"
+        self.metadata = sa.schema.MetaData(schema=self.schema)
+        self.attributes = ButlerAttributes(self.bind, self.schema)
+
+    def get_table(self, table_name: str) -> sa.Table:
+        return sa.schema.Table(table_name, self.metadata, autoload_with=self.bind, schema=self.schema)
+
+
+_Instrument: TypeAlias = Any
+"""A dynamically loaded lsst.obs_base.Instrument."""
+
+
+class _InstrumentFetcher:
+    def __init__(self, ctx: _Context) -> None:
+        self._instruments: dict[str, _Instrument] = {}
+        self._ctx = ctx
+
+    def get_instrument(self, name: str) -> _Instrument:
+        """Dynamically load an lsst.obs_base.Instrument based on its class name stored in the database."""
+        instrument = self._instruments.get(name)
+        if instrument is not None:
+            return instrument
+
+        instrument_table = self._ctx.get_table("instrument")
+        rows = self._ctx.bind.execute(
+            sa.select(instrument_table.c.class_name).where(instrument_table.c.name == name)
+        ).all()
+        assert len(rows) == 1, f"Should be exactly one class name for instrument {name}"
+        class_name = rows[0][0]
+        _LOG.info(f"Loading instrument definition {name} from class {class_name}")
+        instrument = doImportType(class_name)()
+        self._instruments[name] = instrument
+        return instrument

mypy.ini

@@ -9,6 +9,9 @@ disallow_incomplete_defs = True
 [mypy-sqlalchemy.*]
 ignore_missing_imports = True
 
+[mypy-yaml.*]
+ignore_missing_imports = True
+
 [mypy-astropy.*]
 ignore_missing_imports = True