def get_loss_profile(project_id: str, profile_id: str):
"""
Route for getting a specific loss profile for a given project.
Raises an HTTPNotFoundError if the project or loss profile are
not found in the database.
:param project_id: the id of the project to get the loss profile for
:param profile_id: the id of the loss profile to get
:return: a tuple containing (json response, http status code)
"""
_LOGGER.info("getting loss profile for project {} with id {}".format(
project_id, profile_id))
get_project_by_id(project_id) # validate id
# search for loss profile and verify that project_id matches
loss_profile = ProjectLossProfile.get_or_none(
ProjectLossProfile.profile_id == profile_id,
ProjectLossProfile.project_id == project_id,
)
if loss_profile is None:
_LOGGER.error(
"could not find loss profile with profile_id {} and project_id {}".
format(profile_id, project_id))
raise HTTPNotFoundError(
"could not find loss profile with profile_id {} and project_id {}".
format(profile_id, project_id))
resp_profile = data_dump_and_validation(ResponseProjectLossProfileSchema(),
{"profile": loss_profile})
_LOGGER.info(
"found loss profile with profile_id {} and project_id: {}".format(
profile_id, project_id))
return jsonify(resp_profile), HTTPStatus.OK.value
def get_loss_profiles(project_id: str):
"""
Route for getting a list of project loss profiles filtered by the flask request args
Raises an HTTPNotFoundError if the project is not found in the database.
:param project_id: the id of the project to get the loss profiles for
:return: a tuple containing (json response, http status code)
"""
args = {key: val for key, val in request.args.items()}
_LOGGER.info(
"getting project optims for project_id {} and request args {}".format(
project_id, args))
args = SearchProjectProfilesSchema().load(args)
get_project_by_id(project_id) # validate id
loss_profiles_query = (ProjectLossProfile.select().where(
ProjectLossProfile.project_id == project_id).order_by(
ProjectLossProfile.created).paginate(args["page"],
args["page_length"]))
loss_profiles = [res for res in loss_profiles_query]
resp_profiles = data_dump_and_validation(
ResponseProjectLossProfilesSchema(), {"profiles": loss_profiles})
_LOGGER.info("retrieved {} profiles".format(len(loss_profiles)))
return jsonify(resp_profiles), HTTPStatus.OK.value
def upload_loss_profile(project_id: str):
"""
Route for creating a new loss profile for a given project from uploaded data.
Raises an HTTPNotFoundError if the project is not found in the database.
:param project_id: the id of the project to create a loss profile for
:return: a tuple containing (json response, http status code)
"""
_LOGGER.info("uploading loss profile for project {}".format(project_id))
project = get_project_by_id(project_id) # validate id
if "loss_file" not in request.files:
_LOGGER.error("missing uploaded file 'loss_file'")
raise ValidationError("missing uploaded file 'loss_file'")
# read loss analysis file
try:
loss_analysis = json.load(request.files["loss_file"]) # type: Dict
except Exception as err:
_LOGGER.error(
"error while reading uploaded loss analysis file: {}".format(err))
raise ValidationError(
"error while reading uploaded loss analysis file: {}".format(err))
# override or default potential previous data fields
loss_analysis_args = CreateProjectLossProfileSchema().load(loss_analysis)
loss_analysis.update(loss_analysis_args)
loss_analysis["profile_id"] = "<none>"
loss_analysis["project_id"] = "<none>"
loss_analysis["created"] = datetime.datetime.now()
loss_analysis["source"] = "uploaded"
loss_analysis["job"] = None
loss_analysis = data_dump_and_validation(ProjectLossProfileSchema(),
loss_analysis)
del loss_analysis["profile_id"] # delete to create a new one on DB insert
del loss_analysis[
"project_id"] # delete because project is passed in on DB insert
model = project.model
if model is None:
raise ValidationError(
("A model has not been set for the project with id {}, "
"project must set a model before running a loss profile."
).format(project_id))
loss_profile = ProjectLossProfile.create(project=project, **loss_analysis)
resp_profile = data_dump_and_validation(ResponseProjectLossProfileSchema(),
{"profile": loss_profile})
_LOGGER.info("created loss profile: id: {}, name: {}".format(
resp_profile["profile"]["profile_id"],
resp_profile["profile"]["name"]))
return jsonify(resp_profile), HTTPStatus.OK.value
def _get_project_loss_profile(self) -> ProjectLossProfile:
loss_profile = ProjectLossProfile.get_or_none(
ProjectLossProfile.profile_id == self._profile_id)
if loss_profile is None:
raise ValueError(
"ProjectLossProfile with profile_id {} was not found".format(
self._profile_id))
return loss_profile
def get_profiles_by_id(
profile_perf_id: Union[None, str], profile_loss_id: Union[None, str]
) -> Tuple[ProjectPerfProfile, ProjectLossProfile]:
"""
Get a performance and loss profile by their ids.
If not found will return None instead of raising not found.
:param profile_perf_id: id of the performance profile to get
:param profile_loss_id: id of the loss profile to get
:return: tuple containing (performance profile, loss profile)
"""
profile_perf = (ProjectPerfProfile.get_or_none(
ProjectPerfProfile.profile_id == profile_perf_id)
if profile_perf_id else None)
profile_loss = (ProjectLossProfile.get_or_none(
ProjectLossProfile.profile_id == profile_loss_id)
if profile_loss_id else None)
return profile_perf, profile_loss
def create_loss_profile(project_id: str):
"""
Route for creating a new loss profile for a given project.
Raises an HTTPNotFoundError if the project is not found in the database.
:param project_id: the id of the project to create a loss profile for
:return: a tuple containing (json response, http status code)
"""
_LOGGER.info(
"creating loss profile for project {} for request json {}".format(
project_id, request.json))
project = get_project_by_id(project_id)
loss_profile_params = CreateProjectLossProfileSchema().load(
request.get_json(force=True))
model = project.model
if model is None:
raise ValidationError(
("A model has not been set for the project with id {}, "
"project must set a model before running a loss profile."
).format(project_id))
loss_profile = None
job = None
try:
loss_profile = ProjectLossProfile.create(project=project,
source="generated",
**loss_profile_params)
job = Job.create(
project_id=project_id,
type_=CreateLossProfileJobWorker.get_type(),
worker_args=CreateLossProfileJobWorker.format_args(
model_id=model.model_id,
profile_id=loss_profile.profile_id,
pruning_estimations=loss_profile_params["pruning_estimations"],
pruning_estimation_type=loss_profile_params[
"pruning_estimation_type"],
pruning_structure=loss_profile_params["pruning_structure"],
quantized_estimations=loss_profile_params[
"quantized_estimations"],
),
)
loss_profile.job = job
loss_profile.save()
except Exception as err:
_LOGGER.error(
"error while creating new loss profile, rolling back: {}".format(
err))
if loss_profile:
try:
loss_profile.delete_instance()
except Exception as rollback_err:
_LOGGER.error(
"error while rolling back new loss profile: {}".format(
rollback_err))
if job:
try:
job.delete_instance()
except Exception as rollback_err:
_LOGGER.error(
"error while rolling back new loss profile: {}".format(
rollback_err))
raise err
# call into JobWorkerManager to kick off job if it's not already running
JobWorkerManager().refresh()
resp_profile = data_dump_and_validation(ResponseProjectLossProfileSchema(),
{"profile": loss_profile})
_LOGGER.info("created loss profile and job: {}".format(resp_profile))
return jsonify(resp_profile), HTTPStatus.OK.value