def send_results(slice_job, slicer_results):
"""Takes the messaging method (right now just an e-mail) and sends the
results of the slicing job to the job's e-mail address
"""
# Build E-mail text
# Should contain what happened and a link to their gcode file
TaskHelper.send_notifications(slice_job, slicer_results)
return True
def send_results(slice_job, slicer_results):
"""Takes the messaging method (right now just an e-mail) and sends the
results of the slicing job to the job's e-mail address
"""
# Build E-mail text
# Should contain what happened and a link to their gcode file
TaskHelper.send_notifications(slice_job, slicer_results)
return True
def process_job(slice_id, slicer_type, slicer_version):
"""Takes a slice_job and tries to generate gcode based on it.
Rev 1: This is all local, there are no temp files or POST/GET calls
because everything will be local. Eventually it will be moved
so a server could be devoted to just processing tasks so it would
have to communicate with another server to get stls, configs etc.
Celery Task that actually kicks off the slicing subprocess when
it is run. In the future should handle auto-merging the STLS into one
file. A slice_job is a Slice Object from models and contains all
required information to run a task.
Args:
slice_job: a SliceJob object
slicer_type: a string, 'slic3r' used by the factory to determine
which type of slicer to return.
slicer_version: a string, 'VERSION097' used by the factory to build
the path to the slicer executable
Returns:
True if the stls were sliced and everything was perfect.
False if there was an error.
"""
# Need to get the slice_job from the db.
if not slice_id:
return False
logging.info('trying to slice job %s' % str(slice_id))
slice_job = models.get_job_by_id(slice_id)
# If we don't have everything we need bail
if not slice_job or not slicer_type or not slicer_version:
return False
# GET STL and write to temp dir
# GET config and write to temp dir
stl_paths, config_path = TaskHelper.get_stl_config_path(slice_job)
outputs = TaskHelper.generate_output(slice_job)
# POST that the slicing job has started
slicer = SlicerFactory.create_slicer(slicer_type, slicer_version)
for stl_path, output in zip(stl_paths, outputs):
result = slicer.slice_job(stl_path, config_path, output)
# POST The status of the result of the job. If it sliced correctly
# and gcode is availble to download POST SUCCESS status.
# On Success
if not result:
TaskHelper.update_job_state(slice_job, SliceState.FAILED)
# TaskHelper.post_gcode(output_path)
TaskHelper.update_job_state(slice_job, SliceState.SUCCESS)
logging.info('stls_sliced %s' % str(stl_paths))
# TaskHelper.cleanup_temp(file_paths)
# Kick off 'Notification' task for this job
send_results.delay(slice_job, result)
return True
def process_job(slice_id, slicer_type, slicer_version):
"""Takes a slice_job and tries to generate gcode based on it.
Rev 1: This is all local, there are no temp files or POST/GET calls
because everything will be local. Eventually it will be moved
so a server could be devoted to just processing tasks so it would
have to communicate with another server to get stls, configs etc.
Celery Task that actually kicks off the slicing subprocess when
it is run. In the future should handle auto-merging the STLS into one
file. A slice_job is a Slice Object from models and contains all
required information to run a task.
Args:
slice_job: a SliceJob object
slicer_type: a string, 'slic3r' used by the factory to determine
which type of slicer to return.
slicer_version: a string, 'VERSION097' used by the factory to build
the path to the slicer executable
Returns:
True if the stls were sliced and everything was perfect.
False if there was an error.
"""
# Need to get the slice_job from the db.
if not slice_id:
return False
logging.info('trying to slice job %s' % str(slice_id))
slice_job = models.get_job_by_id(slice_id)
# If we don't have everything we need bail
if not slice_job or not slicer_type or not slicer_version:
return False
# GET STL and write to temp dir
# GET config and write to temp dir
stl_paths, config_path = TaskHelper.get_stl_config_path(slice_job)
outputs = TaskHelper.generate_output(slice_job)
# POST that the slicing job has started
slicer = SlicerFactory.create_slicer(slicer_type, slicer_version)
for stl_path, output in zip(stl_paths, outputs):
result = slicer.slice_job(stl_path, config_path, output)
# POST The status of the result of the job. If it sliced correctly
# and gcode is availble to download POST SUCCESS status.
# On Success
if not result:
TaskHelper.update_job_state(slice_job, SliceState.FAILED)
# TaskHelper.post_gcode(output_path)
TaskHelper.update_job_state(slice_job, SliceState.SUCCESS)
logging.info('stls_sliced %s' % str(stl_paths))
# TaskHelper.cleanup_temp(file_paths)
# Kick off 'Notification' task for this job
send_results.delay(slice_job, result)
return True
