GovernorDimension¶
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class
lsst.daf.butler.GovernorDimension(name: str, storage: dict, *, metadata: lsst.daf.butler.core.named.NamedValueAbstractSet[lsst.daf.butler.core.ddl.FieldSpec][lsst.daf.butler.core.ddl.FieldSpec], uniqueKeys: lsst.daf.butler.core.named.NamedValueAbstractSet[lsst.daf.butler.core.ddl.FieldSpec][lsst.daf.butler.core.ddl.FieldSpec])¶ Bases:
lsst.daf.butler.DimensionGovernor dimension.
A special
Dimensionwith no dependencies and a small number of rows, used to group the dimensions that depend on it.Parameters: - name :
str Name of the dimension.
- storage :
dict Fully qualified name of the
GovernorDimensionRecordStoragesubclass that will back this element in the registry (in a “cls” key) along with any other construction keyword arguments (in other keys).- metadata :
NamedValueAbstractSet[ddl.FieldSpec] Field specifications for all non-key fields in this dimension’s table.
- uniqueKeys :
NamedValueAbstractSet[ddl.FieldSpec] Fields that can each be used to uniquely identify this dimension (given values for all required dimensions). The first of these is used as (part of) this dimension’s table’s primary key, while others are used to define unique constraints.
Notes
Most dimensions have exactly one governor dimension as a required dependency, and queries that involve those dimensions are always expected to explicitly identify the governor dimension value(s), rather than retrieve all matches from the database. Because governor values are thus almost always known at query-generation time, they can be used there to simplify queries, provide sensible defaults, or check in advance for common mistakes that might otherwise yield confusing (albeit formally correct) results instead of straightforward error messages.
Governor dimensions may not be associated with any kind of topological extent.
Governor dimension rows are often affiliated with a Python class or instance (e.g.
lsst.obs.base.Instrument) that is capable of generating the rows of at least some dependent dimensions or providing other related functionality. In the future, we hope to attach these instances to governor dimension records (instantiating them from information in the database row when it is fetched), and use those objects to add additional functionality to governor dimensions, but a number of (code) dependency relationships would need to be reordered first.Attributes Summary
MAX_KEY_LENGTHRecordClassReturn the record subclass for this element. alternateKeysReturn alternate keys. alwaysJoinIndicate if the element should always be included. dimensionsReturn all dimensions. governorReturn the governor dimension. graphReturn minimal graph that includes this element ( DimensionGraph).impliedReturn the implied dimensions. metadataAdditional metadata fields included in this element’s table. nameReturn unique string identifier for this endpoint ( str).primaryKeyReturn primary key field for this dimension ( FieldSpec).requiredReturn the required dimensions. spatialReturn this endpoint’s SPATIALfamily.temporalReturn this endpoint’s TEMPORALfamily.topologyReturn the relationship families to which this endpoint belongs. uniqueKeysReturn the unique fields. viewOfName of another table this element’s records are drawn from. Methods Summary
from_json(json_str, universe, registry)Return new class from JSON string. from_simple(simple, universe, registry)Construct a new object from the simplified form. hasTable()Indicate if this element is associated with a table. makeStorage(db, *, context)Make storage record. to_json(minimal)Convert this class to JSON form. to_simple(minimal)Convert this class to a simple python type. Attributes Documentation
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MAX_KEY_LENGTH= 128¶
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RecordClass¶ Return the record subclass for this element.
The
DimensionRecordsubclass used to hold records for this element (type).Because
DimensionRecordsubclasses are generated dynamically, this type cannot be imported directly and hence can only be obtained from this attribute.
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alternateKeys¶ Return alternate keys.
Additional unique key fields for this dimension that are not the primary key (
NamedValueAbstractSetofFieldSpec).If this dimension has required dependencies, the keys of those dimensions are also included in the unique constraints defined for these alternate keys.
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alwaysJoin¶ Indicate if the element should always be included.
If
True, always include this element in any query or data ID in which itsrequireddimensions appear, because it defines a relationship between those dimensions that must always be satisfied.
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dimensions¶ Return all dimensions.
The union of
requiredandimplied, with all elements inrequiredbefore any elements inimplied.This differs from
self.graph.dimensionsboth in order and in content:- as in
self.implied, implied dimensions are not expanded recursively here; - implied dimensions appear after required dimensions here, instead of being topologically ordered.
As a result, this set is ordered consistently with
self.RecordClass.fields.- as in
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governor¶ Return the governor dimension.
This is the
GovernorDimensionthat is a required dependency of this element, orNoneif there is no such dimension (GovernorDimensionorNone).
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graph¶ Return minimal graph that includes this element (
DimensionGraph).self.graph.requiredincludes all dimensions whose primary key values are sufficient (often necessary) to uniquely identifyself(includingselfifisinstance(self, Dimension).self.graph.impliedincludes all dimensions also identified (possibly recursively) by this set.
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implied¶ Return the implied dimensions.
Other dimensions that are uniquely identified directly by a record of this dimension element.
For elements with a database representation, these are exactly the dimensions used to form foreign key constraints whose fields are not (wholly) also part of the primary key.
Unlike
self.graph.implied, this set is not expanded recursively.
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metadata¶ Additional metadata fields included in this element’s table.
(
NamedValueSetofFieldSpec).
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primaryKey¶ Return primary key field for this dimension (
FieldSpec).Note that the database primary keys for dimension tables are in general compound; this field is the only field in the database primary key that is not also a foreign key (to a required dependency dimension table).
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required¶ Return the required dimensions.
Dimensions that are necessary to uniquely identify a record of this dimension element.
For elements with a database representation, these dimension are exactly those used to form the (possibly compound) primary key, and all dimensions here that are not
selfare also used to form foreign keys.For
Dimensioninstances, this should be exactly the same asgraph.required, but that may not be true forDimensionElementinstances in general. When they differ, there are multiple combinations of dimensions that uniquely identify this element, but this one is more direct.
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topology¶ Return the relationship families to which this endpoint belongs.
It is keyed by the category for that family.
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uniqueKeys¶ Return the unique fields.
All fields that can individually be used to identify records of this element, given the primary keys of all required dependencies (
NamedValueAbstractSetofFieldSpec).
Methods Documentation
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classmethod
from_json(json_str: str, universe: Optional[DimensionUniverse] = None, registry: Optional[Registry] = None) → SupportsSimple¶ Return new class from JSON string.
Converts a JSON string created by
to_jsonand return something of the supplied class.Parameters: - json_str :
str Representation of the dimensions in JSON format as created by
to_json().- universe :
DimensionUniverse, optional The special graph of all known dimensions. Passed directly to
from_simple().- registry :
lsst.daf.butler.Registry, optional Registry to use to convert simple name of a DatasetType to a full
DatasetType. Passed directly tofrom_simple().
Returns: - constructed : Any
Newly-constructed object.
- json_str :
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classmethod
from_simple(simple: str, universe: Optional[DimensionUniverse] = None, registry: Optional[Registry] = None) → DimensionElement¶ Construct a new object from the simplified form.
Usually the data is returned from the
to_simplemethod.Parameters: - simple :
str The value returned by
to_simple().- universe :
DimensionUniverse The special graph of all known dimensions.
- registry :
lsst.daf.butler.Registry, optional Registry from which a universe can be extracted. Can be
Noneif universe is provided explicitly.
Returns: - dataId :
DimensionElement Newly-constructed object.
- simple :
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hasTable() → bool¶ Indicate if this element is associated with a table.
Return
Trueif this element is associated with a table (even if that table “belongs” to another element).
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makeStorage(db: Database, *, context: Optional[StaticTablesContext] = None) → GovernorDimensionRecordStorage¶ Make storage record.
Constructs the
DimensionRecordStorageinstance that should be used to back this element in a registry.Parameters: - db :
Database Interface to the underlying database engine and namespace.
- context :
StaticTablesContext, optional If provided, an object to use to create any new tables. If not provided,
db.ensureTableExistsshould be used instead.
Returns: - storage :
GovernorDimensionRecordStorage Storage object that should back this element in a registry.
- db :
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to_json(minimal: bool = False) → str¶ Convert this class to JSON form.
The class type is not recorded in the JSON so the JSON decoder must know which class is represented.
Parameters: - minimal :
bool, optional Use minimal serialization. Requires Registry to convert back to a full type.
Returns: - json :
str The class in JSON string format.
- minimal :
- name :