TimespanDatabaseRepresentation¶
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class
lsst.daf.butler.TimespanDatabaseRepresentation(*args, **kwds)¶ Bases:
lsst.daf.butler.TopologicalExtentDatabaseRepresentation[lsst.daf.butler.Timespan]Representation of a time span within a database engine.
Provides an interface that encapsulates how timespans are represented in a database engine.
Most of this class’s interface is comprised of classmethods. Instances can be constructed via the
fromSelectableorfromLiteralmethods as a way to include timespan overlap operations in query JOIN or WHERE clauses.Notes
TimespanDatabaseRepresentationimplementations are guaranteed to use the same interval definitions and edge-case behavior as theTimespanclass. They are also guaranteed to round-tripTimespaninstances exactly.Attributes Summary
Name to use for this logical column in tables (
str).Topological space where regions represented by this class exist.
Return base logical name for the topological extent (
str).Methods Summary
contains(other)Return a SQLAlchemy expression representing containment.
extract(mapping[, name])Extract a region from a dictionary.
flatten(name)Return the actual column(s) that comprise this logical column.
fromLiteral(timespan)Construct a database timespan from a literal
Timespaninstance.fromSelectable(selectable[, name])Construct representation of a column in the table or subquery.
getFieldNames([name])Return the actual field names used by this representation.
Return
Trueif this representation supports exclusion constraints.isEmpty()Return a boolean SQLAlchemy expression for testing empty timespans.
isNull()Return expression that tests where region is
NULL.makeFieldSpecs(nullable[, name])Make objects that relfect the fields that must be added to table.
overlaps(other)Return a SQLAlchemy expression representing timespan overlaps.
update(extent[, name, result])Add a region to a dictionary.
Attributes Documentation
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NAME: ClassVar[str] = 'timespan'¶ Name to use for this logical column in tables (
str).If the representation actually uses multiple columns, this will just be part of the names of those columns. Queries (and tables that represent materialized queries) may use a different name (via the
nameparameters to various methods) in order to disambiguate between the regions associated with different tables.
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SPACE: ClassVar[lsst.daf.butler.TopologicalSpace] = 2¶ Topological space where regions represented by this class exist.
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name¶ Return base logical name for the topological extent (
str).If the representation uses only one actual column, this should be the full name of the column. In other cases it is an unspecified subset of the column names.
Methods Documentation
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abstract
contains(other: Union[_S, sqlalchemy.sql.elements.ColumnElement]) → sqlalchemy.sql.elements.ColumnElement¶ Return a SQLAlchemy expression representing containment.
Returns a test for whether an in-database timespan contains another timespan or a time point.
- Parameters
- other
type(self)orsqlalchemy.sql.ColumnElement The timespan or time to relate to
self; either an instance of the sameTimespanDatabaseRepresentationsubclass asself, or a SQL column expression representing anastropy.time.Time.
- other
- Returns
- contains
sqlalchemy.sql.ColumnElement A boolean SQLAlchemy expression object.
- contains
Notes
See
Timespan.containsfor edge-case behavior.
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abstract classmethod
extract(mapping: Mapping[str, Any], name: Optional[str] = None) → Optional[_R]¶ Extract a region from a dictionary.
This region represents a database row in this representation.
- Parameters
- mapping
Mapping[str,Any] A dictionary representing a database row containing a
Timespanin this representation. Should have key(s) equal to the return value ofgetFieldNames.- name
str, optional Name for the logical column; a part of the name for multi-column representations. Defaults to
cls.NAME.
- mapping
- Returns
- region
Python representation of the region.
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abstract
flatten(name: Optional[str]) → Iterator[sqlalchemy.sql.elements.ColumnElement]¶ Return the actual column(s) that comprise this logical column.
- Parameters
- name
str, optional If provided, a name for the logical column that should be used to label the columns. If not provided, the columns’ native names will be used.
- name
- Returns
- columns
Iterator[sqlalchemy.sql.ColumnElement] The true column or columns that back this object.
- columns
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abstract classmethod
fromLiteral(timespan:lsst.daf.butler.Timespan) → _S¶ Construct a database timespan from a literal
Timespaninstance.- Parameters
- timespan
Timespan Literal timespan to convert.
- timespan
- Returns
- tsRepr
TimespanDatabaseRepresentation A timespan expression object backed by
sqlalchemy.sql.literalcolumn expressions.
- tsRepr
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abstract classmethod
fromSelectable(selectable: sqlalchemy.sql.selectable.FromClause, name: Optional[str] = None) → _S¶ Construct representation of a column in the table or subquery.
Constructs an instance that represents a logical column (which may actually be backed by multiple columns) in the given table or subquery.
- Parameters
- selectable
sqlalchemy.sql.FromClause SQLAlchemy object representing a table or subquery.
- name
str, optional Name for the logical column; a part of the name for multi-column representations. Defaults to
cls.NAME.
- selectable
- Returns
- representation
TopologicalExtentDatabaseRepresentation Object representing a logical column.
- representation
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abstract classmethod
getFieldNames(name: Optional[str] = None) → Tuple[str, …]¶ Return the actual field names used by this representation.
- Parameters
- name
str, optional Name for the logical column; a part of the name for multi-column representations. Defaults to
cls.NAME.
- name
- Returns
- names
tuple[str] Field name(s). Guaranteed to be the same as the names of the field specifications returned by
makeFieldSpecs.
- names
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classmethod
hasExclusionConstraint() → bool¶ Return
Trueif this representation supports exclusion constraints.
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abstract
isEmpty() → sqlalchemy.sql.elements.ColumnElement¶ Return a boolean SQLAlchemy expression for testing empty timespans.
- Returns
- empty
sqlalchemy.sql.ColumnElement A boolean SQLAlchemy expression object.
- empty
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abstract
isNull() → sqlalchemy.sql.elements.ColumnElement¶ Return expression that tests where region is
NULL.Returns a SQLAlchemy expression that tests whether this region is logically
NULL.- Returns
- isnull
sqlalchemy.sql.ColumnElement A boolean SQLAlchemy expression object.
- isnull
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abstract classmethod
makeFieldSpecs(nullable: bool, name: Optional[str] = None, **kwargs: Any) → Tuple[lsst.daf.butler.core.ddl.FieldSpec, …]¶ Make objects that relfect the fields that must be added to table.
Makes one or more
ddl.FieldSpecobjects that reflect the fields that must be added to a table for this representation.- Parameters
- nullable
bool If
True, the region is permitted to be logicallyNULL(mapped toNonein Python), though the correspoding value(s) in the database are implementation-defined. Nullable region fields default to NULL, while others default to (-∞, ∞).- name
str, optional Name for the logical column; a part of the name for multi-column representations. Defaults to
cls.NAME.- **kwargs
Keyword arguments are forwarded to the
ddl.FieldSpecconstructor for all fields; implementations only provide thename,dtype, anddefaultarguments themselves.
- nullable
- Returns
- specs
tuple[ddl.FieldSpec] Field specification objects; length of the tuple is subclass-dependent, but is guaranteed to match the length of the return values of
getFieldNamesandupdate.
- specs
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abstract
overlaps(other: _S) → sqlalchemy.sql.elements.ColumnElement¶ Return a SQLAlchemy expression representing timespan overlaps.
- Parameters
- other
type(self) The timespan to overlap
selfwith.
- other
- Returns
- overlap
sqlalchemy.sql.ColumnElement A boolean SQLAlchemy expression object.
- overlap
Notes
See
Timespan.overlapsfor edge-case behavior.
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abstract classmethod
update(extent: Optional[_R], name: Optional[str] = None, result: Optional[Dict[str, Any]] = None) → Dict[str, Any]¶ Add a region to a dictionary.
This region represents a database row in this representation.
- Parameters
- extent
An instance of the region type this class provides a database representation for, or
NoneforNULL.- name
str, optional Name for the logical column; a part of the name for multi-column representations. Defaults to
cls.NAME.- result
dict[str,Any], optional A dictionary representing a database row that fields should be added to, or
Noneto create and return a new one.
- Returns
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