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"""
Classes to represent the definitions of aggregate functions.
"""
class Aggregate(object):
"""
Default Aggregate definition.
"""
def __init__(self, lookup, **extra):
"""Instantiate a new aggregate.
* lookup is the field on which the aggregate operates.
* extra is a dictionary of additional data to provide for the
aggregate definition
Also utilizes the class variables:
* name, the identifier for this aggregate function.
"""
self.lookup = lookup
self.extra = extra
def _default_alias(self):
return '%s__%s' % (self.lookup, self.name.lower())
default_alias = property(_default_alias)
def add_to_query(self, query, alias, col, source, is_summary):
"""Add the aggregate to the nominated query.
This method is used to convert the generic Aggregate definition into a
backend-specific definition.
* query is the backend-specific query instance to which the aggregate
is to be added.
* col is a column reference describing the subject field
of the aggregate. It can be an alias, or a tuple describing
a table and column name.
* source is the underlying field or aggregate definition for
the column reference. If the aggregate is not an ordinal or
computed type, this reference is used to determine the coerced
output type of the aggregate.
* is_summary is a boolean that is set True if the aggregate is a
summary value rather than an annotation.
"""
klass = getattr(query.aggregates_module, self.name)
aggregate = klass(col, source=source, is_summary=is_summary, **self.extra)
# Validate that the backend has a fully supported, correct
# implementation of this aggregate
query.connection.ops.check_aggregate_support(aggregate)
query.aggregates[alias] = aggregate
class Avg(Aggregate):
name = 'Avg'
class Count(Aggregate):
name = 'Count'
class Max(Aggregate):
name = 'Max'
class Min(Aggregate):
name = 'Min'
class StdDev(Aggregate):
name = 'StdDev'
class Sum(Aggregate):
name = 'Sum'
class Variance(Aggregate):
name = 'Variance'
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