def get_cleanup_cutoff_point(cls, my_point, offset_sequence_tuples):
"""Extract the max dependent cycle point for this point."""
if not offset_sequence_tuples:
# This task does not have dependent tasks at other cycles.
return my_point
cutoff_points = []
for offset_string, sequence in offset_sequence_tuples:
if offset_string is None:
# This indicates a dependency that lasts for the whole run.
return None
if sequence is None:
# This indicates a simple offset interval such as [-PT6H].
cutoff_points.append(
my_point - get_interval(offset_string))
continue
if is_offset_absolute(offset_string):
stop_point = sequence.get_stop_point()
if stop_point:
# Stop point of the sequence is a good cutoff point for an
# absolute "offset"
cutoff_points.append(stop_point)
continue
else:
# The dependency lasts for the whole run.
return None
# This is a complicated offset like [02T00-P1W].
dependent_point = sequence.get_start_point()
my_cutoff_point = None
while dependent_point is not None:
# TODO: Is it realistically possible to hang in this loop?
target_point = (
get_point_relative(offset_string, dependent_point))
if target_point > my_point:
# Assume monotonic (target_point can never jump back).
break
if target_point == my_point:
# We have found a dependent_point for my_point.
my_cutoff_point = dependent_point
dependent_point = sequence.get_next_point_on_sequence(
dependent_point)
if my_cutoff_point:
# Choose the largest of the dependent points.
cutoff_points.append(my_cutoff_point)
if cutoff_points:
max_cutoff_point = max(cutoff_points)
if max_cutoff_point < my_point:
# This is caused by future triggers - default to my_point.
return my_point
return max_cutoff_point
# There aren't any dependent tasks in other cycles for my_point.
return my_point
def get_cleanup_cutoff_point(self, point):
"""Extract the max dependent cycle point for this point."""
if not self.intercycle_offsets:
# This task does not have dependent tasks at other cycles.
return point
cutoff_points = []
for offset_string, sequence in self.intercycle_offsets:
if offset_string is None:
# This indicates a dependency that lasts for the whole run.
return None
if sequence is None:
# This indicates a simple offset interval such as [-PT6H].
cutoff_points.append(point - get_interval(offset_string))
continue
if is_offset_absolute(offset_string):
stop_point = sequence.get_stop_point()
if stop_point:
# Stop point of the sequence is a good cutoff point for an
# absolute "offset"
cutoff_points.append(stop_point)
continue
else:
# The dependency lasts for the whole run.
return None
# This is a complicated offset like [02T00-P1W].
dependent_point = sequence.get_start_point()
my_cutoff_point = None
while dependent_point is not None:
# TODO: Is it realistically possible to hang in this loop?
target_point = (get_point_relative(offset_string,
dependent_point))
if target_point > point:
# Assume monotonic (target_point can never jump back).
break
if target_point == point:
# We have found a dependent_point for point.
my_cutoff_point = dependent_point
dependent_point = sequence.get_next_point_on_sequence(
dependent_point)
if my_cutoff_point:
# Choose the largest of the dependent points.
cutoff_points.append(my_cutoff_point)
if cutoff_points:
max_cutoff_point = max(cutoff_points)
if max_cutoff_point < point:
# This is caused by future triggers - default to point.
return point
return max_cutoff_point
# There aren't any dependent tasks in other cycles for point.
return point