def execute(task, *args, **kwargs):
"""
Patched version of fabric's execute task with alternative error handling
"""
my_env = {'clean_revert': True}
results = {}
# Obtain task
is_callable = callable(task)
if not (is_callable or _is_task(task)):
# Assume string, set env.command to it
my_env['command'] = task
task = crawl(task, state.commands)
if task is None:
msg = "%r is not callable or a valid task name" % (
my_env['command'], )
if state.env.get('skip_unknown_tasks', False):
warn(msg)
return
else:
abort(msg)
# Set env.command if we were given a real function or callable task obj
else:
dunder_name = getattr(task, '__name__', None)
my_env['command'] = getattr(task, 'name', dunder_name)
# Normalize to Task instance if we ended up with a regular callable
if not _is_task(task):
task = WrappedCallableTask(task)
# Filter out hosts/roles kwargs
new_kwargs, hosts, roles, exclude_hosts = parse_kwargs(kwargs)
# Set up host list
my_env['all_hosts'], my_env[
'effective_roles'] = task.get_hosts_and_effective_roles(
hosts, roles, exclude_hosts, state.env)
parallel = requires_parallel(task)
if parallel:
# Import multiprocessing if needed, erroring out usefully
# if it can't.
try:
import multiprocessing
except ImportError:
import traceback
tb = traceback.format_exc()
abort(tb + """
At least one task needs to be run in parallel, but the
multiprocessing module cannot be imported (see above
traceback.) Please make sure the module is installed
or that the above ImportError is fixed.""")
else:
multiprocessing = None
# Get pool size for this task
pool_size = task.get_pool_size(my_env['all_hosts'], state.env.pool_size)
# Set up job queue in case parallel is needed
queue = multiprocessing.Queue() if parallel else None
jobs = JobQueue(pool_size, queue)
if state.output.debug:
jobs._debug = True
# Call on host list
if my_env['all_hosts']:
# Attempt to cycle on hosts, skipping if needed
for host in my_env['all_hosts']:
try:
results[host] = _execute(task, host, my_env, args, new_kwargs,
jobs, queue, multiprocessing)
except NetworkError, e:
results[host] = e
# Backwards compat test re: whether to use an exception or
# abort
func = warn if state.env.skip_bad_hosts or state.env.warn_only \
else abort
error(e.message, func=func, exception=e.wrapped)
except SystemExit, e:
results[host] = e
# If requested, clear out connections here and not just at the end.
if state.env.eagerly_disconnect:
disconnect_all()
def execute(task, *args, **kwargs):
"""
Patched version of fabric's execute task with alternative error handling
"""
my_env = {'clean_revert': True}
results = {}
# Obtain task
is_callable = callable(task)
if not (is_callable or _is_task(task)):
# Assume string, set env.command to it
my_env['command'] = task
task = crawl(task, state.commands)
if task is None:
msg = "%r is not callable or a valid task name" % (
my_env['command'],)
if state.env.get('skip_unknown_tasks', False):
warn(msg)
return
else:
abort(msg)
# Set env.command if we were given a real function or callable task obj
else:
dunder_name = getattr(task, '__name__', None)
my_env['command'] = getattr(task, 'name', dunder_name)
# Normalize to Task instance if we ended up with a regular callable
if not _is_task(task):
task = WrappedCallableTask(task)
# Filter out hosts/roles kwargs
new_kwargs, hosts, roles, exclude_hosts = parse_kwargs(kwargs)
# Set up host list
my_env['all_hosts'], my_env[
'effective_roles'] = task.get_hosts_and_effective_roles(hosts, roles,
exclude_hosts,
state.env)
parallel = requires_parallel(task)
if parallel:
# Import multiprocessing if needed, erroring out usefully
# if it can't.
try:
import multiprocessing
except ImportError:
import traceback
tb = traceback.format_exc()
abort(tb + """
At least one task needs to be run in parallel, but the
multiprocessing module cannot be imported (see above
traceback.) Please make sure the module is installed
or that the above ImportError is fixed.""")
else:
multiprocessing = None
# Get pool size for this task
pool_size = task.get_pool_size(my_env['all_hosts'], state.env.pool_size)
# Set up job queue in case parallel is needed
queue = multiprocessing.Queue() if parallel else None
jobs = JobQueue(pool_size, queue)
if state.output.debug:
jobs._debug = True
# Call on host list
if my_env['all_hosts']:
# Attempt to cycle on hosts, skipping if needed
for host in my_env['all_hosts']:
try:
results[host] = _execute(
task, host, my_env, args, new_kwargs, jobs, queue,
multiprocessing
)
except NetworkError, e:
results[host] = e
# Backwards compat test re: whether to use an exception or
# abort
func = warn if state.env.skip_bad_hosts or state.env.warn_only \
else abort
error(e.message, func=func, exception=e.wrapped)
except SystemExit, e:
pass
# If requested, clear out connections here and not just at the end.
if state.env.eagerly_disconnect:
disconnect_all()
