def wizard_complete(self, *, added=None, updated=None):
notify = RedisBroker(self.user)
ws = WsBroker(self.user)
study = self.load.study
request_uuid = self.load.request
status = str(self.load.status)
if added and updated:
changed = _("Added {added} values and updated {updated}.")
elif updated:
changed = _("Updated {updated} values.")
elif added:
changed = _("Added {added} values.")
else:
changed = _("No values were modified.")
changed = changed.format(added=added, updated=updated)
message = _("Finished loading data into {study}. {changed}")
# this one goes to the bitbucket if user navigated away
ws.notify(
message.format(study=study.name, changed=changed),
tags=["import-status-update"],
payload={
"uuid": request_uuid,
"status": status
},
)
# this one sticks around if the user leaves + comes back
notify.notify(
message.format(study=study.name, changed=changed),
tags=["import-status-update"],
payload={
"uuid": request_uuid,
"status": status
},
)
def update_import_status(status, import_uuid, user_pk, notify=None):
"""
A simple task whose job is to update an import's status and send a related user
notification
"""
logger.info(f"Updating import status to {status} for {import_uuid}")
User = get_user_model()
user = User.objects.get(pk=user_pk)
logger.debug(
f"Marking import {user.username}'s, {import_uuid} as {status}")
import_ = Import.objects.filter(
uuid=import_uuid).select_related("file").get()
import_.status = status
import_.save()
# send an async notification of the status update
if not notify:
notify = RedisBroker(user)
file_name = import_.file.file.name
msg = 'Your import for file "{file_name}" is {status}'.format(
file_name=file_name, status=status.lower())
notify.notify(
msg,
tags=["import-status-update"],
payload={
"status": status,
"uuid": import_uuid,
"pk": import_.pk
},
)
def build_ui_payload_from_cache(import_pk, user_pk):
"""
Loads existing import records from Redis cache and parses them in lieu of re-parsing the
file and re-resolving string-based line/assay/MeasurementType identifiers from the
uploaded file. This method supports the transition from Step 3 -> Step 4 of the import,
and this implementation lets us leverage most of the same code to support the Step 3 -> 4
transition as we use for the Step 2 -> 4 transition.
:return: the UI JSON for Step 4 "Inspect"
"""
import_ = Import.objects.filter(pk=import_pk).select_related("file").get()
User = get_user_model()
user = User.objects.get(pk=user_pk)
logger.info(f"Building import {import_.pk}'s UI payload from cache.")
parser = SeriesCacheParser(master_units=import_.y_units)
import_records = parser.parse(import_.uuid)
aggregator = ErrorAggregator()
# look up MeasurementTypes referenced in the import so we can build JSON containing them.
# if we got this far, they'll be in EDD's database unless recently removed, which should
# be unlikely
category = import_.category
MTypeClass = MTYPE_GROUP_TO_CLASS[category.mtype_group]
unique_mtypes = MTypeClass.objects.filter(pk__in=parser.mtype_pks)
# get other context from the database
hour_units = MeasurementUnit.objects.get(unit_name="hours")
assay_time_meta_pk = MetadataType.objects.filter(
uuid=SYSTEM_META_TYPES["Time"])
found_count = len(unique_mtypes)
if found_count != len(parser.mtype_pks):
missing_pks = {mtype.pk for mtype in unique_mtypes} - parser.mtype_pks
aggregator.raise_errors(err_codes.MEASUREMENT_TYPE_NOT_FOUND,
occurrences=missing_pks)
# TODO: fold assay times into UI payload to give user helpful feedback as in UI mockup
assay_pk_to_time = None
if parser.matched_assays:
assay_pks = parser.loa_pks
assay_pk_to_time = verify_assay_times(aggregator, assay_pks, parser,
assay_time_meta_pk)
required_inputs = compute_required_context(category, import_.compartment,
parser, assay_pk_to_time)
payload = build_summary_json(import_, required_inputs, import_records,
unique_mtypes, hour_units.pk)
notify = RedisBroker(user)
file_name = import_.file.filename
msg = _('Your file "{file_name}" is ready to import'.format(
file_name=file_name))
notify.notify(msg, tags="import-status-update", payload=payload)
def submit_export(self, request, context):
if self._export_ok:
broker = ExportBroker(request.user.id)
notifications = RedisBroker(request.user)
path = broker.save_params(request.POST)
result = tasks.export_worklist_task.delay(request.user.id, path)
# use task ID as notification ID; may replace message when export is complete
notifications.notify(
_("Your worklist request is submitted. Another message with a "
"download link will appear when the worklist processing is complete."
),
uuid=result.id,
)
def submit_export(self, request, context):
# TODO: uncovered code
if self._export_ok:
broker = ExportBroker(request.user.id)
notifications = RedisBroker(request.user)
path = broker.save_params(request.POST)
logger.debug(f"Saved export params to path {path}")
result = tasks.export_table_task.delay(request.user.id, path)
# use task ID as notification ID; may replace message when export is complete
notifications.notify(
_("Your export request is submitted. Another message with a "
"download link will appear when the export processing is complete."
),
uuid=result.id,
)
def export_worklist_task(self, user_id, param_path):
"""
Task runs the code for creating a worklist export, from form data validated by a view.
:param user_id: the primary key of the user running the worklist
:param param_path: the key returned from main.redis.ScratchStorage.save()
used to access saved worklist parameters
:returns: the key used to access worklist data from main.redis.ScratchStorage.load()
:throws RuntimeError: on any errors occuring while running the export
"""
try:
# load info needed to build worklist
User = get_user_model()
user = User.objects.get(id=user_id)
notifications = RedisBroker(user)
broker = ExportBroker(user_id)
export_id = self.request.id[:8]
try:
export_name = execute_export_worklist(broker, user, export_id,
param_path)
url = f'{reverse("export:worklist")}?download={export_id}'
message = _(
'Your worklist for "{name}" is ready. '
'<a href="{url}" class="download">Download the file here</a>.'
).format(name=export_name, url=url)
notifications.notify(message,
tags=("download", ),
payload={"url": url})
except Exception as e:
logger.exception(f"Failure in export_worklist_task: {e}")
message = _("Export failed. EDD encountered this problem: {ex}"
).format(ex=e)
notifications.notify(message)
notifications.mark_read(self.request.id)
except Exception as e:
logger.exception("Failure in export_worklist_task: %s", e)
raise RuntimeError(
_("Failed export, EDD encountered this problem: {e}").format(e=e))
def import_table_task(self, study_id, user_id, import_id):
"""
Task runs the code for importing a table of data.
:param study_id: the primary key of the target study
:param user_id: the primary key of the user running the import
:param import_id: the UUID of this import
:returns: a message to display via the TaskNotification middleware
:throws RuntimeError: on any errors occurring while running the import
"""
start = arrow.utcnow()
study = None
user = None
import_params = None
try:
# load all the import data into memory from DB/from cache, leaving it in cache for
# potential later reuse
study = models.Study.objects.get(pk=study_id)
user = User.objects.get(pk=user_id)
notifications = RedisBroker(user)
# set a fake request object with update info
fake_request = HttpRequest()
try:
# load global context for the import
broker = ImportBroker()
import_params = json.loads(broker.load_context(import_id))
if "update_id" in import_params:
update_id = import_params.get("update_id")
fake_request.update_obj = models.Update.objects.get(pk=update_id)
else:
fake_request.update_obj = models.Update.load_update(user=user)
set_thread_variable("request", fake_request)
# load paged series data
pages = broker.load_pages(import_id)
# do the import
total_added = 0
total_updated = 0
importer = TableImport(study, user)
importer.parse_context(import_params)
with transaction.atomic(savepoint=False):
for page in pages:
parsed_page = json.loads(page)
added, updated = importer.import_series_data(parsed_page)
total_added += added
total_updated += updated
importer.finish_import()
# if requested, notify user of completion (e.g. for a large import)
send_import_completion_email(
study, user, import_params, start, total_added, total_updated
)
message = _(
"Finished import to {study}: {total_added} added and {total_updated} "
"updated measurements.".format(
study=study.name,
total_added=total_added,
total_updated=total_updated,
)
)
notifications.notify(message, tags=("legacy-import-message",))
notifications.mark_read(self.request.id)
except Exception as e:
logger.exception("Failure in import_table_task", e)
# send configured error notifications
send_import_failure_email(study, user, import_id, import_params)
message = _(
"Failed import to {study}, EDD encountered this problem: {e}"
).format(study=study.name, e=e)
notifications.notify(message, tags=("legacy-import-message",))
notifications.mark_read(self.request.id)
raise RuntimeError(
_(
f"Failed import to {study.name}, EDD encountered this problem: "
f"{e}"
)
)
finally:
set_thread_variable("request", None)
except Exception as e:
logger.exception(f"Failure in import_table_task: {e}")
raise RuntimeError(
_(f"Failed import to study {study_id}, EDD encountered this problem: {e}")
)
def process_import_file(import_pk, user_pk, requested_status, initial_upload):
"""
The back end Celery task supporting import Step 2, "Upload", and also single-request
imports made via the REST API. Parses and verifies the file format and content,
then proceeds to additional phases if requested / allowed.
This includes verifying identifiers with external databases (e.g. PubChem, UnipProt).
"""
import_ = None
notify = None
handler = None
try:
fetch_fields = (
"category",
"file",
"file_format",
"protocol",
"study",
"x_units",
"y_units",
)
import_ = (Import.objects.filter(pk=import_pk).select_related(
*fetch_fields).get())
User = get_user_model()
user = User.objects.get(pk=user_pk)
notify = RedisBroker(user)
# process the file, sending notifications along the way. Raises EDDImportError.
handler = ImportFileHandler(notify, import_, user)
handler.process_file(initial_upload)
# if client requested a status transition, likely to SUBMITTED, verify
# that import state is consistent with attempting it. Raises EDDImportError.
attempt_status_transition(
import_,
requested_status,
user,
notify=notify,
run_async=False,
aggregator=handler,
)
except (EDDImportError, ObjectDoesNotExist, RuntimeError) as e:
file_name = import_.file.filename if import_ else ""
study_url = (reverse("main:overview",
kwargs={"slug": import_.study.slug})
if import_ else "")
logger.exception(
f'Exception processing import upload for file "{file_name}". '
f"Study is {study_url}")
if import_:
import_.status = Import.Status.FAILED
import_.save()
# add this error to the list if it's not one detected by the import code
if not isinstance(e, EDDImportError):
handler.add_error(err_codes.UNEXPECTED_ERROR,
occurrence=str(e))
# build a payload including any earlier errors
payload = build_err_payload(handler, import_) if handler else {}
if notify:
msg = 'Processing for your import file "{file_name}" has failed'.format(
file_name=file_name)
notify.notify(msg,
tags=["import-status-update"],
payload=payload)
# if this was a predicted error encountered during normal processing, the task has
# succeeded...also Celery will have trouble serializing the Exception
if isinstance(e, EDDImportError):
logger.info("Predicted error during import processing")
return
raise e
def post(self, request, *args, **kwargs):
study = self.object = self.get_object()
try:
#######################################################################################
# Extract & verify data from the request
#######################################################################################
body = json.loads(request.body) # TODO: add JSON validation
page_index = body["page"] - 1
total_pages = body["totalPages"]
import_id = body["importId"]
series = body["series"]
broker = table.ImportBroker()
notifications = RedisBroker(request.user)
# test result limits to prevent erroneous or malicious clients from abusing resources
broker.check_bounds(import_id, series, total_pages)
#######################################################################################
# Cache this page of data
#######################################################################################
logger.debug(
f"Caching import page {page_index+1} of {total_pages}: ({import_id})"
)
cached_pages = broker.add_page(import_id, json.dumps(series))
# if this is the initial page of data, store the context
if page_index == 0:
# include an update record for the original request
update = edd_models.Update.load_request_update(request)
body["update_id"] = update.id
# cache the context for the whole import (only sent with this page)
del body["series"]
broker.set_context(import_id, json.dumps(body))
# Test whether all result pages are received.
all_received = cached_pages == total_pages
#######################################################################################
# If all the data are received, schedule a background task to process them
#######################################################################################
if all_received:
logger.debug(f"Submitting Celery task for import {import_id}")
result = tasks.import_table_task.delay(study.pk,
request.user.pk,
import_id)
# notify that import is processing
notifications.notify(
_("Data is submitted for import. You may continue to use EDD, "
"another message will appear once the import is complete."
),
uuid=result.id,
)
return JsonResponse(data={}, status=codes.accepted)
# TODO: uncovered code
except table.ImportTooLargeException as e:
return HttpResponse(str(e), status=codes.request_entity_too_large)
except table.ImportBoundsException as e:
return HttpResponse(str(e), status=codes.bad_request)
except table.ImportException as e:
return HttpResponse(str(e), status=codes.server_error)
except RuntimeError as e:
logger.exception(f"Data import failed: {e}")
# return error synchronously so it can be displayed right away in context.
# no need for a separate notification here
messages.error(request, e)