bootstrap-vz/base/tasklist.py

129 lines
3.6 KiB
Python
Raw Normal View History

from common.exceptions import TaskListError
2013-06-09 20:29:54 +02:00
import logging
log = logging.getLogger(__name__)
2013-05-02 19:13:35 +02:00
class TaskList(object):
2013-05-16 08:00:28 +02:00
def __init__(self):
self.tasks = set()
self.tasks_completed = []
def add(self, *args):
self.tasks.update(args)
def remove(self, *args):
for task in args:
self.tasks.discard(task)
2013-05-16 08:00:28 +02:00
def run(self, bootstrap_info):
task_list = self.create_list(self.tasks)
2013-06-23 17:54:25 +02:00
log.debug('Tasklist:\n\t{list}'.format(list='\n\t'.join(repr(task) for task in task_list)))
for task_type in task_list:
task = task_type()
if hasattr(task, 'description'):
log.info(task.description)
else:
log.info('Running {task}'.format(task=task))
task.run(bootstrap_info)
self.tasks_completed.append(task)
def create_list(self, tasks):
2013-06-23 17:54:25 +02:00
from common.phases import order
graph = {}
for task in tasks:
self.check_ordering(task)
successors = set()
successors.update(task.before)
successors.update(filter(lambda succ: task in succ.after, tasks))
2013-08-17 17:28:46 +02:00
succeeding_phases = order[order.index(task.phase) + 1:]
successors.update(filter(lambda succ: succ.phase in succeeding_phases, tasks))
graph[task] = filter(lambda succ: succ in tasks, successors)
2013-06-23 17:54:25 +02:00
components = self.strongly_connected_components(graph)
cycles_found = 0
for component in components:
if len(component) > 1:
cycles_found += 1
2013-06-23 17:54:25 +02:00
log.debug('Cycle: {list}\n'.format(list=', '.join(repr(task) for task in component)))
if cycles_found > 0:
msg = ('{0} cycles were found in the tasklist, '
'consult the logfile for more information.'.format(cycles_found))
raise TaskListError(msg)
sorted_tasks = self.topological_sort(graph)
2013-06-23 17:54:25 +02:00
return sorted_tasks
def check_ordering(self, task):
for successor in task.before:
if successor.phase > successor.phase:
msg = ("The task {task} is specified as running before {other}, "
"but its phase '{phase}' lies after the phase '{other_phase}'"
.format(task=task, other=successor, phase=task.phase, other_phase=successor.phase))
raise TaskListError(msg)
for predecessor in task.after:
if task.phase < predecessor.phase:
msg = ("The task {task} is specified as running after {other}, "
"but its phase '{phase}' lies before the phase '{other_phase}'"
.format(task=task, other=predecessor, phase=task.phase, other_phase=predecessor.phase))
raise TaskListError(msg)
def strongly_connected_components(self, graph):
# Source: http://www.logarithmic.net/pfh-files/blog/01208083168/sort.py
# Find the strongly connected components in a graph using Tarjan's algorithm.
# graph should be a dictionary mapping node names to lists of successor nodes.
2013-06-26 20:14:37 +02:00
result = []
stack = []
low = {}
def visit(node):
2013-06-26 20:14:37 +02:00
if node in low:
return
num = len(low)
low[node] = num
stack_pos = len(stack)
stack.append(node)
for successor in graph[node]:
visit(successor)
low[node] = min(low[node], low[successor])
if num == low[node]:
component = tuple(stack[stack_pos:])
del stack[stack_pos:]
result.append(component)
for item in component:
low[item] = len(graph)
for node in graph:
visit(node)
return result
def topological_sort(self, graph):
# Source: http://www.logarithmic.net/pfh-files/blog/01208083168/sort.py
2013-06-26 20:14:37 +02:00
count = {}
for node in graph:
count[node] = 0
for node in graph:
for successor in graph[node]:
count[successor] += 1
2013-06-26 20:14:37 +02:00
ready = [node for node in graph if count[node] == 0]
2013-06-26 20:14:37 +02:00
result = []
while ready:
node = ready.pop(-1)
result.append(node)
for successor in graph[node]:
count[successor] -= 1
if count[successor] == 0:
ready.append(successor)
return result