blob: 1bbf742b5c195167ae501fdb98f423600c3c6dc9 [file] [log] [blame]
from django.core.exceptions import FieldError
from django.db.models.fields import FieldDoesNotExist
from django.db.models.sql.constants import LOOKUP_SEP
class SQLEvaluator(object):
def __init__(self, expression, query, allow_joins=True):
self.expression = expression
self.opts = query.get_meta()
self.cols = {}
self.contains_aggregate = False
self.expression.prepare(self, query, allow_joins)
def prepare(self):
return self
def as_sql(self, qn, connection):
return self.expression.evaluate(self, qn, connection)
def relabel_aliases(self, change_map):
for node, col in self.cols.items():
if hasattr(col, "relabel_aliases"):
col.relabel_aliases(change_map)
else:
self.cols[node] = (change_map.get(col[0], col[0]), col[1])
#####################################################
# Vistor methods for initial expression preparation #
#####################################################
def prepare_node(self, node, query, allow_joins):
for child in node.children:
if hasattr(child, 'prepare'):
child.prepare(self, query, allow_joins)
def prepare_leaf(self, node, query, allow_joins):
if not allow_joins and LOOKUP_SEP in node.name:
raise FieldError("Joined field references are not permitted in this query")
field_list = node.name.split(LOOKUP_SEP)
if (len(field_list) == 1 and
node.name in query.aggregate_select.keys()):
self.contains_aggregate = True
self.cols[node] = query.aggregate_select[node.name]
else:
try:
field, source, opts, join_list, last, _ = query.setup_joins(
field_list, query.get_meta(),
query.get_initial_alias(), False)
col, _, join_list = query.trim_joins(source, join_list, last, False)
self.cols[node] = (join_list[-1], col)
except FieldDoesNotExist:
raise FieldError("Cannot resolve keyword %r into field. "
"Choices are: %s" % (self.name,
[f.name for f in self.opts.fields]))
##################################################
# Vistor methods for final expression evaluation #
##################################################
def evaluate_node(self, node, qn, connection):
expressions = []
expression_params = []
for child in node.children:
if hasattr(child, 'evaluate'):
sql, params = child.evaluate(self, qn, connection)
else:
sql, params = '%s', (child,)
if len(getattr(child, 'children', [])) > 1:
format = '(%s)'
else:
format = '%s'
if sql:
expressions.append(format % sql)
expression_params.extend(params)
return connection.ops.combine_expression(node.connector, expressions), expression_params
def evaluate_leaf(self, node, qn, connection):
col = self.cols[node]
if hasattr(col, 'as_sql'):
return col.as_sql(qn, connection), ()
else:
return '%s.%s' % (qn(col[0]), qn(col[1])), ()
def evaluate_date_modifier_node(self, node, qn, connection):
timedelta = node.children.pop()
sql, params = self.evaluate_node(node, qn, connection)
if timedelta.days == 0 and timedelta.seconds == 0 and \
timedelta.microseconds == 0:
return sql, params
return connection.ops.date_interval_sql(sql, node.connector, timedelta), params