def reparentJobs(self, jobs):
"""Moves the given jobs into this group
@type jobs: list<opencue.wrappers.job.Job>
@param jobs: The jobs to add to this group"""
jobsToReparent = []
for job in jobs:
if isinstance(job, opencue.wrappers.job.NestedJob):
job = job.asJob()
jobsToReparent.append(job.data)
jobSeq = job_pb2.JobSeq(jobs=jobsToReparent)
self.stub.ReparentJobs(job_pb2.GroupReparentJobsRequest(group=self.data, jobs=jobSeq),
timeout=Cuebot.Timeout)
def dataSource(self, job, preload):
"""Returns job information structured as needed for the attributes list."""
if isinstance(job, opencue.wrappers.job.NestedJob):
job = job.asJob()
d = {
"job":
job.data.name,
"id":
opencue.util.id(job),
"facility":
job.data.facility,
"os":
job.data.os,
"show":
job.data.show,
"shot":
job.data.shot,
"user":
job.data.user,
"state":
str(job.data.state),
"startTime":
cuegui.Utils.dateToMMDDHHMM(job.data.start_time),
"stopTime":
cuegui.Utils.dateToMMDDHHMM(job.data.stop_time),
"priority": {
"group": job.data.group,
"level": job.data.priority,
"minCores": "%.02f" % job.data.min_cores,
"maxCores": "%.02f" % job.data.max_cores,
},
"outputs": {},
"frames": {
"total": job.data.job_stats.total_frames,
"waiting": job.data.job_stats.waiting_frames,
"dead": job.data.job_stats.dead_frames,
"eaten": job.data.job_stats.eaten_frames,
"depend": job.data.job_stats.depend_frames,
"succeeded": job.data.job_stats.succeeded_frames,
"running": job.data.job_stats.running_frames
},
"stats": {
"avgFrameTime":
cuegui.Utils.secondsToHHMMSS(job.data.job_stats.avg_frame_sec),
"totalCoreSeconds":
cuegui.Utils.secondsToHHMMSS(
job.data.job_stats.total_core_sec),
"renderedCoreSeconds":
cuegui.Utils.secondsToHHMMSS(
job.data.job_stats.rendered_core_sec),
"failedCoreSeconds":
cuegui.Utils.secondsToHHMMSS(
job.data.job_stats.failed_core_sec),
"remainingCoreSeconds":
cuegui.Utils.secondsToHHMMSS(
job.data.job_stats.remaining_core_sec)
},
"resources": {
"cores": "%02.f" % job.data.job_stats.reserved_cores,
"maxRss": int(job.data.job_stats.max_rss)
},
"__childOrder": [
"job", "id", "facility", "os", "show", "shot", "user", "state",
"startTime", "stopTime", "outputs", "depends", "frames",
"resources"
],
"depends":
getDependsForm(preload["depends"])
}
## In the layer outputs.
if job.data.job_stats.total_layers < 20:
for layer in job.getLayers():
outputs = layer.getOutputPaths()
if not outputs:
continue
entry = {}
d["outputs"][layer.data.name] = entry
for num, output in enumerate(outputs):
# Try to formulate a unique name the output.
# pylint: disable=bare-except
try:
# Outline only puts outputs in as filespecs,
# so we're just going to assume it is.
rep = output.split("/")[-2]
if rep in entry:
rep = "%s #%d" % (rep, num)
except:
rep = "output #%d" % num
# pylint: enable=bare-except
entry[rep] = output
return d