def __init__(self, tdef, point, status, is_held):
self.identity = TaskID.get(tdef.name, str(point))
self.status = status
self.is_held = is_held
self.is_updated = False
self.time_updated = None
self._is_satisfied = None
self._suicide_is_satisfied = None
# Prerequisites.
self.prerequisites = []
self.suicide_prerequisites = []
self._add_prerequisites(point, tdef)
# External Triggers.
self.external_triggers = {}
for ext in tdef.external_triggers:
# Allow cycle-point-specific external triggers - GitHub #1893.
if '$CYLC_TASK_CYCLE_POINT' in ext:
ext = ext.replace('$CYLC_TASK_CYCLE_POINT', str(point))
# set unsatisfied
self.external_triggers[ext] = False
# xtriggers (represented by labels) satisfied or not
self.xtriggers = {}
self._add_xtriggers(point, tdef)
# Message outputs.
self.outputs = TaskOutputs(tdef)
self.kill_failed = False
def __init__(self,
tdef: 'TaskDef',
start_point: 'PointBase',
flow_label: Optional[str],
status: str = TASK_STATUS_WAITING,
is_held: bool = False,
submit_num: int = 0,
is_late: bool = False,
reflow: bool = True) -> None:
self.tdef = tdef
if submit_num is None:
submit_num = 0
self.submit_num = submit_num
self.jobs: List[str] = []
self.flow_label = flow_label
self.reflow = reflow
self.point = start_point
self.identity: str = TaskID.get(self.tdef.name, self.point)
self.reload_successor: Optional['TaskProxy'] = None
self.point_as_seconds: Optional[int] = None
self.is_manual_submit = False
self.summary: Dict[str, Any] = {
'submitted_time': None,
'submitted_time_string': None,
'started_time': None,
'started_time_string': None,
'finished_time': None,
'finished_time_string': None,
'logfiles': [],
'platforms_used': {},
'execution_time_limit': None,
'job_runner_name': None,
'submit_method_id': None,
'flow_label': None
}
self.local_job_file_path: Optional[str] = None
self.platform = get_platform()
self.job_vacated = False
self.poll_timer: Optional['TaskActionTimer'] = None
self.timeout: Optional[float] = None
self.try_timers: Dict[str, 'TaskActionTimer'] = {}
self.non_unique_events = Counter() # type: ignore # TODO: figure out
self.clock_trigger_time: Optional[float] = None
self.expire_time: Optional[float] = None
self.late_time: Optional[float] = None
self.is_late = is_late
self.waiting_on_job_prep = True
self.state = TaskState(tdef, self.point, status, is_held)
# Determine graph children of this task (for spawning).
self.graph_children = generate_graph_children(tdef, self.point)
def insert_db_job(self, row_idx, row):
"""Load job element from DB post restart."""
if row_idx == 0:
LOG.info("LOADING job data")
(point_string, name, status, submit_num, time_submit, time_run,
time_run_exit, batch_sys_name, batch_sys_job_id, platform_name) = row
if status not in JOB_STATUS_SET:
return
t_id = f'{self.workflow_id}{ID_DELIM}{point_string}{ID_DELIM}{name}'
j_id = f'{t_id}{ID_DELIM}{submit_num}'
try:
tdef = self.schd.config.get_taskdef(name)
j_owner = self.schd.owner
if platform_name:
j_host = get_host_from_platform(get_platform(platform_name))
else:
j_host = self.schd.host
j_buf = PbJob(
stamp=f'{j_id}@{time()}',
id=j_id,
submit_num=submit_num,
state=status,
task_proxy=t_id,
submitted_time=time_submit,
started_time=time_run,
finished_time=time_run_exit,
batch_sys_name=batch_sys_name,
batch_sys_job_id=batch_sys_job_id,
host=j_host,
owner=j_owner,
name=name,
cycle_point=point_string,
)
# Add in log files.
j_buf.job_log_dir = get_task_job_log(self.schd.suite, point_string,
name, submit_num)
overrides = self.schd.task_events_mgr.broadcast_mgr.get_broadcast(
TaskID.get(name, point_string))
if overrides:
rtconfig = pdeepcopy(tdef.rtconfig)
poverride(rtconfig, overrides, prepend=True)
else:
rtconfig = tdef.rtconfig
j_buf.extra_logs.extend([
os.path.expanduser(os.path.expandvars(log_file))
for log_file in rtconfig['extra log files']
])
except SuiteConfigError:
LOG.exception(
('ignoring job %s from the suite run database\n'
'(its task definition has probably been deleted).') % j_id)
except Exception:
LOG.exception('could not load job %s' % j_id)
else:
self.added[j_id] = j_buf
self.task_jobs.setdefault(t_id, set()).add(j_id)
self.updates_pending = True
def _generate_ghost_families(self, family_proxies=None, cycle_points=None):
"""Generate the family proxies from tasks in cycle points."""
update_time = time()
if family_proxies is None:
family_proxies = {}
fam_proxy_ids = {}
for point_string, tasks in self.cycle_states.items():
# construct family tree based on the
# first-parent single-inheritance tree
if not cycle_points or point_string not in cycle_points:
continue
cycle_first_parents = set([])
for key in tasks:
for parent in self.ancestors.get(key, []):
if parent == key:
continue
cycle_first_parents.add(parent)
for fam in cycle_first_parents:
if fam not in self.families:
continue
int_id = TaskID.get(fam, point_string)
fp_id = f"{self.workflow_id}/{point_string}/{fam}"
fp_check = f"{int_id}@{update_time}"
fproxy = PbFamilyProxy(
checksum=fp_check,
id=fp_id,
cycle_point=point_string,
name=fam,
family=f"{self.workflow_id}/{fam}",
depth=self.families[fam].depth,
)
for child_name in self.descendants[fam]:
ch_id = f"{self.workflow_id}/{point_string}/{child_name}"
if self.parents[child_name][0] == fam:
if child_name in cycle_first_parents:
fproxy.child_families.append(ch_id)
elif child_name in self.tasks:
fproxy.child_tasks.append(ch_id)
if self.parents[fam]:
fproxy.parents.extend([
f"{self.workflow_id}/{point_string}/{p_name}"
for p_name in self.parents[fam]
])
p1_name = self.parents[fam][0]
fproxy.first_parent = (
f"{self.workflow_id}/{point_string}/{p1_name}")
family_proxies[int_id] = fproxy
fam_proxy_ids.setdefault(fam, []).append(fp_id)
self.family_proxies = family_proxies
for fam, ids in fam_proxy_ids.items():
self.families[fam].proxies[:] = ids
def update_family_proxies(self, cycle_points=None):
"""Update state of family proxies"""
update_time = time()
# Compute state_counts (total, and per cycle).
all_states = []
state_count_cycles = {}
for point_string, c_task_states in self.cycle_states.items():
# For each cycle point, construct a family state tree
# based on the first-parent single-inheritance tree
if cycle_points and point_string not in cycle_points:
continue
c_fam_task_states = {}
count = {}
for key in c_task_states:
state = c_task_states[key]
if state is None:
continue
try:
count[state] += 1
except KeyError:
count[state] = 1
all_states.append(state)
for parent in self.ancestors.get(key, []):
if parent == key:
continue
c_fam_task_states.setdefault(parent, set([]))
c_fam_task_states[parent].add(state)
state_count_cycles[point_string] = count
for fam, child_states in c_fam_task_states.items():
state = extract_group_state(child_states)
int_id = TaskID.get(fam, point_string)
if state is None or int_id not in self.family_proxies:
continue
fproxy = self.family_proxies[int_id]
fproxy.checksum = f"{int_id}@{update_time}"
fproxy.state = state
self.all_states = all_states
self.state_count_cycles = state_count_cycles
def main(_, options, suite, *task_args):
"""Implement "cylc show" CLI."""
pclient = SuiteRuntimeClient(suite, timeout=options.comms_timeout)
json_filter = {}
if not task_args:
query = WORKFLOW_META_QUERY
query_kwargs = {
'request_string': query,
'variables': {
'wFlows': [suite]
}
}
# Print suite info.
results = pclient('graphql', query_kwargs)
for workflow in results['workflows']:
flat_data = flatten_data(workflow)
if options.json:
json_filter.update(flat_data)
else:
for key, value in sorted(flat_data.items(), reverse=True):
ansiprint(
f'<bold>{key}:</bold> {value or "<m>(not given)</m>"}')
task_names = [arg for arg in task_args if TaskID.is_valid_name(arg)]
task_ids = [arg for arg in task_args if TaskID.is_valid_id_2(arg)]
if task_names:
tasks_query = TASK_META_QUERY
tasks_kwargs = {
'request_string': tasks_query,
'variables': {
'wFlows': [suite],
'taskIds': task_names
}
}
# Print suite info.
results = pclient('graphql', tasks_kwargs)
multi = len(results['tasks']) > 1
for task in results['tasks']:
flat_data = flatten_data(task['meta'])
if options.json:
json_filter.update({task['name']: flat_data})
else:
if multi:
print(f'----\nTASK NAME: {task["name"]}')
for key, value in sorted(flat_data.items(), reverse=True):
ansiprint(
f'<bold>{key}:</bold> {value or "<m>(not given)</m>"}')
if task_ids:
tp_query = TASK_PREREQS_QUERY
tp_kwargs = {
'request_string': tp_query,
'variables': {
'wFlows': [suite],
'taskIds': [
f'{c}{ID_DELIM}{n}' for n, c in [
TaskID.split(t_id)
for t_id in task_ids if TaskID.is_valid_id(t_id)
]
] + [
f'{c}{ID_DELIM}{n}' for c, n in [
t_id.rsplit(TaskID.DELIM2, 1)
for t_id in task_ids if not TaskID.is_valid_id(t_id)
]
]
}
}
results = pclient('graphql', tp_kwargs)
multi = len(results['taskProxies']) > 1
for t_proxy in results['taskProxies']:
task_id = TaskID.get(t_proxy['name'], t_proxy['cyclePoint'])
if options.json:
json_filter.update({task_id: t_proxy})
else:
if multi:
print(f'----\nTASK ID: {task_id}')
prereqs = []
for item in t_proxy['prerequisites']:
prefix = ''
multi_cond = len(item['conditions']) > 1
if multi_cond:
prereqs.append([
True, '', item['expression'].replace('c', ''),
item['satisfied']
])
for cond in item['conditions']:
if multi_cond and not options.list_prereqs:
prefix = f'\t{cond["exprAlias"].strip("c")} = '
_, _, point, name = cond['taskId'].split(ID_DELIM)
cond_id = TaskID.get(name, point)
prereqs.append([
False, prefix, f'{cond_id} {cond["reqState"]}',
cond['satisfied']
])
if options.list_prereqs:
for composite, _, msg, _ in prereqs:
if not composite:
print(msg)
else:
flat_meta = flatten_data(t_proxy['task']['meta'])
for key, value in sorted(flat_meta.items(), reverse=True):
ansiprint(f'<bold>{key}:</bold>'
f' {value or "<m>(not given)</m>"}')
ansiprint('\n<bold>prerequisites</bold>'
' (<red>- => not satisfied</red>):')
if not prereqs:
print(' (None)')
for _, prefix, msg, state in prereqs:
print_msg_state(f'{prefix}{msg}', state)
ansiprint('\n<bold>outputs</bold>'
' (<red>- => not completed</red>):')
if not t_proxy['outputs']:
print(' (None)')
for key, val in t_proxy['outputs'].items():
print_msg_state(f'{task_id} {key}', val)
if t_proxy['extras']:
print('\nother:')
for key, value in t_proxy['extras'].items():
print(' o %s ... %s' % (key, value))
if not results['taskProxies']:
ansiprint(f"<red>No matching tasks found: {task_ids}",
file=sys.stderr)
sys.exit(1)
if options.json:
print(json.dumps(json_filter, indent=4))
def test_get(self):
self.assertEqual("a.1", TaskID.get("a", 1))
self.assertEqual("a._1", TaskID.get("a", "_1"))
self.assertEqual("WTASK.20101010T101010",
TaskID.get("WTASK", "20101010T101010"))
def __init__(self,
tdef,
start_point,
flow_label,
status=TASK_STATUS_WAITING,
is_held=False,
submit_num=0,
is_late=False,
reflow=True):
self.tdef = tdef
if submit_num is None:
submit_num = 0
self.submit_num = submit_num
self.jobs = []
self.flow_label = flow_label
self.reflow = reflow
self.point = start_point
self.identity = TaskID.get(self.tdef.name, self.point)
self.reload_successor = None
self.point_as_seconds = None
self.manual_trigger = False
self.is_manual_submit = False
self.summary = {
'latest_message': '',
'submitted_time': None,
'submitted_time_string': None,
'started_time': None,
'started_time_string': None,
'finished_time': None,
'finished_time_string': None,
'logfiles': [],
'platforms_used': {},
'execution_time_limit': None,
'batch_sys_name': None,
'submit_method_id': None,
'flow_label': None
}
self.local_job_file_path = None
self.platform = get_platform()
self.task_owner = None
self.job_vacated = False
self.poll_timer = None
self.timeout = None
self.try_timers = {}
# Use dict here for Python 2.6 compat.
# Should use collections.Counter in Python 2.7+
self.non_unique_events = {}
self.clock_trigger_time = None
self.expire_time = None
self.late_time = None
self.is_late = is_late
self.state = TaskState(tdef, self.point, status, is_held)
# Determine graph children of this task (for spawning).
self.graph_children = {}
for seq, dout in tdef.graph_children.items():
for output, downs in dout.items():
if output not in self.graph_children:
self.graph_children[output] = []
for name, trigger in downs:
child_point = trigger.get_child_point(self.point, seq)
is_abs = (trigger.offset_is_absolute
or trigger.offset_is_from_icp)
if is_abs:
if trigger.get_parent_point(self.point) != self.point:
# If 'foo[^] => bar' only spawn off of '^'.
continue
if seq.is_on_sequence(child_point):
# E.g.: foo should trigger only on T06:
# PT6H = "waz"
# T06 = "waz[-PT6H] => foo"
self.graph_children[output].append(
(name, child_point, is_abs))
if tdef.sequential:
# Add next-instance child.
nexts = []
for seq in tdef.sequences:
nxt = seq.get_next_point(self.point)
if nxt is not None:
# Within sequence bounds.
nexts.append(nxt)
if nexts:
if TASK_OUTPUT_SUCCEEDED not in self.graph_children:
self.graph_children[TASK_OUTPUT_SUCCEEDED] = []
self.state.outputs.add(TASK_OUTPUT_SUCCEEDED)
self.graph_children[TASK_OUTPUT_SUCCEEDED].append(
(tdef.name, min(nexts), False))
if TASK_OUTPUT_FAILED in self.graph_children:
self.failure_handled = True
else:
self.failure_handled = False
def __init__(
self, tdef, start_point, status=TASK_STATUS_WAITING,
hold_swap=None, has_spawned=False, stop_point=None,
is_startup=False, submit_num=0, is_late=False):
self.tdef = tdef
if submit_num is None:
submit_num = 0
self.submit_num = submit_num
if is_startup:
# adjust up to the first on-sequence cycle point
adjusted = []
for seq in self.tdef.sequences:
adj = seq.get_first_point(start_point)
if adj:
# may be None if out of sequence bounds
adjusted.append(adj)
if not adjusted:
# This task is out of sequence bounds
raise TaskProxySequenceBoundsError(self.tdef.name)
self.point = min(adjusted)
self.late_time = None
else:
self.point = start_point
self.cleanup_cutoff = self.tdef.get_cleanup_cutoff_point(self.point)
self.identity = TaskID.get(self.tdef.name, self.point)
self.has_spawned = has_spawned
self.reload_successor = None
self.point_as_seconds = None
# Manually inserted tasks may have a final cycle point set.
self.stop_point = stop_point
self.manual_trigger = False
self.is_manual_submit = False
self.summary = {
'latest_message': '',
'submitted_time': None,
'submitted_time_string': None,
'started_time': None,
'started_time_string': None,
'finished_time': None,
'finished_time_string': None,
'logfiles': [],
'job_hosts': {},
'execution_time_limit': None,
'batch_sys_name': None,
'submit_method_id': None
}
self.local_job_file_path = None
self.task_host = 'localhost'
self.task_owner = None
self.job_vacated = False
self.poll_timer = None
self.timeout = None
self.try_timers = {}
# Use dict here for Python 2.6 compat.
# Should use collections.Counter in Python 2.7+
self.non_unique_events = {}
self.clock_trigger_time = None
self.expire_time = None
self.late_time = None
self.is_late = is_late
self.state = TaskState(tdef, self.point, status, hold_swap)
if tdef.sequential:
# Adjust clean-up cutoff.
p_next = None
adjusted = []
for seq in tdef.sequences:
nxt = seq.get_next_point(self.point)
if nxt:
# may be None if beyond the sequence bounds
adjusted.append(nxt)
if adjusted:
p_next = min(adjusted)
if (self.cleanup_cutoff is not None and
self.cleanup_cutoff < p_next):
self.cleanup_cutoff = p_next
def update(self, schd):
"""Update."""
self.update_time = time()
global_summary = {}
family_summary = {}
task_summary, task_states = self._get_tasks_info(schd)
all_states = []
ancestors_dict = schd.config.get_first_parent_ancestors()
# Compute state_counts (total, and per cycle).
state_count_totals = {}
state_count_cycles = {}
for point_string, c_task_states in task_states.items():
# For each cycle point, construct a family state tree
# based on the first-parent single-inheritance tree
c_fam_task_states = {}
count = {}
for key in c_task_states:
state = c_task_states[key]
if state is None:
continue
try:
count[state] += 1
except KeyError:
count[state] = 1
all_states.append(state)
for parent in ancestors_dict.get(key, []):
if parent == key:
continue
c_fam_task_states.setdefault(parent, set([]))
c_fam_task_states[parent].add(state)
state_count_cycles[point_string] = count
for fam, child_states in c_fam_task_states.items():
f_id = TaskID.get(fam, point_string)
state = extract_group_state(child_states)
if state is None:
continue
try:
famcfg = schd.config.cfg['runtime'][fam]['meta']
except KeyError:
famcfg = {}
description = famcfg.get('description')
title = famcfg.get('title')
family_summary[f_id] = {'name': fam,
'description': description,
'title': title,
'label': point_string,
'state': state}
state_count_totals = {}
for point_string, count in list(state_count_cycles.items()):
for state, state_count in count.items():
state_count_totals.setdefault(state, 0)
state_count_totals[state] += state_count
all_states.sort()
for key, value in (
('oldest cycle point string', schd.pool.get_min_point()),
('newest cycle point string', schd.pool.get_max_point()),
('newest runahead cycle point string',
schd.pool.get_max_point_runahead())):
if value:
global_summary[key] = str(value)
else:
global_summary[key] = None
if get_utc_mode():
global_summary['time zone info'] = TIME_ZONE_UTC_INFO
else:
global_summary['time zone info'] = TIME_ZONE_LOCAL_INFO
global_summary['last_updated'] = self.update_time
global_summary['run_mode'] = schd.config.run_mode()
global_summary['states'] = all_states
global_summary['namespace definition order'] = (
schd.config.ns_defn_order)
global_summary['reloading'] = schd.pool.do_reload
global_summary['state totals'] = state_count_totals
# Extract suite and task URLs from config.
global_summary['suite_urls'] = dict(
(i, j['meta']['URL'])
for (i, j) in schd.config.cfg['runtime'].items())
global_summary['suite_urls']['suite'] = schd.config.cfg['meta']['URL']
# Construct a suite status string for use by monitoring clients.
status, status_msg = get_suite_status(schd)
global_summary['status'] = str(status)
global_summary['status_string'] = status_msg
# Replace the originals (atomic update, for access from other threads).
self.task_summary = task_summary
self.global_summary = global_summary
self.family_summary = family_summary
self.state_count_totals = state_count_totals
self.state_count_cycles = state_count_cycles
def update(self, schd):
"""Update."""
self.update_time = time()
global_summary = {}
family_summary = {}
task_summary, task_states = self._get_tasks_info(schd)
all_states = []
ancestors_dict = schd.config.get_first_parent_ancestors()
# Compute state_counts (total, and per cycle).
state_count_totals = {}
state_count_cycles = {}
for point_string, c_task_states in task_states.items():
# For each cycle point, construct a family state tree
# based on the first-parent single-inheritance tree
c_fam_task_states = {}
count = {}
for key in c_task_states:
state = c_task_states[key]
if state is None:
continue
try:
count[state] += 1
except KeyError:
count[state] = 1
all_states.append(state)
for parent in ancestors_dict.get(key, []):
if parent == key:
continue
c_fam_task_states.setdefault(parent, set([]))
c_fam_task_states[parent].add(state)
state_count_cycles[point_string] = count
for fam, child_states in c_fam_task_states.items():
f_id = TaskID.get(fam, point_string)
state = extract_group_state(child_states)
if state is None:
continue
try:
famcfg = schd.config.cfg['runtime'][fam]['meta']
except KeyError:
famcfg = {}
description = famcfg.get('description')
title = famcfg.get('title')
family_summary[f_id] = {'name': fam,
'description': description,
'title': title,
'label': point_string,
'state': state}
state_count_totals = {}
for point_string, count in list(state_count_cycles.items()):
for state, state_count in count.items():
state_count_totals.setdefault(state, 0)
state_count_totals[state] += state_count
all_states.sort()
for key, value in (
('oldest cycle point string', schd.pool.get_min_point()),
('newest cycle point string', schd.pool.get_max_point()),
('newest runahead cycle point string',
schd.pool.get_max_point_runahead())):
if value:
global_summary[key] = str(value)
else:
global_summary[key] = None
if get_utc_mode():
global_summary['time zone info'] = TIME_ZONE_UTC_INFO
else:
global_summary['time zone info'] = TIME_ZONE_LOCAL_INFO
global_summary['last_updated'] = self.update_time
global_summary['run_mode'] = schd.run_mode
global_summary['states'] = all_states
global_summary['namespace definition order'] = (
schd.config.ns_defn_order)
global_summary['reloading'] = schd.pool.do_reload
global_summary['state totals'] = state_count_totals
# Extract suite and task URLs from config.
global_summary['suite_urls'] = dict(
(i, j['meta']['URL'])
for (i, j) in schd.config.cfg['runtime'].items())
global_summary['suite_urls']['suite'] = schd.config.cfg['meta']['URL']
# Construct a suite status string for use by monitoring clients.
if schd.pool.is_held:
global_summary['status_string'] = SUITE_STATUS_HELD
elif schd.stop_mode is not None:
global_summary['status_string'] = SUITE_STATUS_STOPPING
elif schd.pool.hold_point:
global_summary['status_string'] = (
SUITE_STATUS_RUNNING_TO_HOLD % schd.pool.hold_point)
elif schd.stop_point:
global_summary['status_string'] = (
SUITE_STATUS_RUNNING_TO_STOP % schd.stop_point)
elif schd.stop_clock_time is not None:
global_summary['status_string'] = (
SUITE_STATUS_RUNNING_TO_STOP % schd.stop_clock_time_string)
elif schd.stop_task:
global_summary['status_string'] = (
SUITE_STATUS_RUNNING_TO_STOP % schd.stop_task)
elif schd.final_point:
global_summary['status_string'] = (
SUITE_STATUS_RUNNING_TO_STOP % schd.final_point)
else:
global_summary['status_string'] = SUITE_STATUS_RUNNING
# Replace the originals (atomic update, for access from other threads).
self.task_summary = task_summary
self.global_summary = global_summary
self.family_summary = family_summary
self.state_count_totals = state_count_totals
self.state_count_cycles = state_count_cycles
def __init__(self,
tdef,
start_point,
status=TASK_STATUS_WAITING,
is_held=False,
has_spawned=False,
stop_point=None,
is_startup=False,
submit_num=0,
is_late=False):
self.tdef = tdef
if submit_num is None:
submit_num = 0
self.submit_num = submit_num
self.jobs = []
if is_startup:
# adjust up to the first on-sequence cycle point
adjusted = []
for seq in self.tdef.sequences:
adj = seq.get_first_point(start_point)
if adj:
# may be None if out of sequence bounds
adjusted.append(adj)
if not adjusted:
# This task is out of sequence bounds
raise TaskProxySequenceBoundsError(self.tdef.name)
self.point = min(adjusted)
self.late_time = None
else:
self.point = start_point
self.cleanup_cutoff = self.tdef.get_cleanup_cutoff_point(self.point)
self.identity = TaskID.get(self.tdef.name, self.point)
self.has_spawned = has_spawned
self.reload_successor = None
self.point_as_seconds = None
# Manually inserted tasks may have a final cycle point set.
self.stop_point = stop_point
self.manual_trigger = False
self.is_manual_submit = False
self.summary = {
'latest_message': '',
'submitted_time': None,
'submitted_time_string': None,
'started_time': None,
'started_time_string': None,
'finished_time': None,
'finished_time_string': None,
'logfiles': [],
'job_hosts': {},
'execution_time_limit': None,
'batch_sys_name': None,
'submit_method_id': None
}
self.local_job_file_path = None
self.task_host = 'localhost'
self.task_owner = None
self.job_vacated = False
self.poll_timer = None
self.timeout = None
self.try_timers = {}
# Use dict here for Python 2.6 compat.
# Should use collections.Counter in Python 2.7+
self.non_unique_events = {}
self.clock_trigger_time = None
self.expire_time = None
self.late_time = None
self.is_late = is_late
self.state = TaskState(tdef, self.point, status, is_held)
if tdef.sequential:
# Adjust clean-up cutoff.
p_next = None
adjusted = []
for seq in tdef.sequences:
nxt = seq.get_next_point(self.point)
if nxt:
# may be None if beyond the sequence bounds
adjusted.append(nxt)
if adjusted:
p_next = min(adjusted)
if (self.cleanup_cutoff is not None
and self.cleanup_cutoff < p_next):
self.cleanup_cutoff = p_next
def __init__(self,
tdef,
start_point,
flow_label,
status=TASK_STATUS_WAITING,
is_held=False,
submit_num=0,
is_late=False,
reflow=True):
self.tdef = tdef
if submit_num is None:
submit_num = 0
self.submit_num = submit_num
self.jobs = []
self.flow_label = flow_label
self.reflow = reflow
self.point = start_point
self.identity = TaskID.get(self.tdef.name, self.point)
self.reload_successor = None
self.point_as_seconds = None
self.manual_trigger = False
self.is_manual_submit = False
self.summary = {
'latest_message': '',
'submitted_time': None,
'submitted_time_string': None,
'started_time': None,
'started_time_string': None,
'finished_time': None,
'finished_time_string': None,
'logfiles': [],
'platforms_used': {},
'execution_time_limit': None,
'job_runner_name': None,
'submit_method_id': None,
'flow_label': None
}
self.local_job_file_path = None
self.platform = get_platform()
self.job_vacated = False
self.poll_timer = None
self.timeout = None
self.try_timers = {}
self.non_unique_events = Counter()
self.clock_trigger_time = None
self.expire_time = None
self.late_time = None
self.is_late = is_late
self.waiting_on_job_prep = True
self.state = TaskState(tdef, self.point, status, is_held)
# Determine graph children of this task (for spawning).
self.graph_children = generate_graph_children(tdef, self.point)
if TASK_OUTPUT_SUCCEEDED in self.graph_children:
self.state.outputs.add(TASK_OUTPUT_SUCCEEDED)
if TASK_OUTPUT_FAILED in self.graph_children:
self.failure_handled = True
else:
self.failure_handled = False
def test_get(self):
self.assertEqual("a.1", TaskID.get("a", 1))
self.assertEqual("a._1", TaskID.get("a", "_1"))
self.assertEqual(
"WTASK.20101010T101010", TaskID.get("WTASK", "20101010T101010"))
