Dev

alyx/actions/fixtures/actions.proceduretype.json

@@ -14,7 +14,7 @@
  "fields": {
   "name": "Water restriction",
   "json": null,
-  "description": "- Variation in the composition, constituents, quantity and/or availability of the diet and/or drinking water which may cause pain, suffering, distress or lasting harm - withholding of water"
+  "description": "- Variation in the compositigit con, constituents, quantity and/or availability of the diet and/or drinking water which may cause pain, suffering, distress or lasting harm - withholding of water"
  }
 },
 {
@@ -268,6 +268,15 @@
   "json": null,
   "description": "Covers the acquisition of histological sections, the subsequent registration of slices to a common reference atlas and the eventual recovery of electrophysiology tracks through manual picking."
  }
+},
+  {
+ "model": "actions.proceduretype",
+ "pk": "e55c9ca1-3208-4b81-936f-75c0cf6e9565",
+ "fields": {
+  "name": "handling_habituation",
+  "json": null,
+  "description": "Rig habituation protocol for a new task and/or a new subject"
+ }
 },
 {
  "model": "actions.proceduretype",

alyx/data/admin.py

@@ -93,6 +93,7 @@ class DatasetAdmin(BaseExperimentalDataAdmin):
     list_filter = [('created_by', RelatedDropdownFilter),
                    ('created_datetime', DateRangeFilter),
                    ('dataset_type', RelatedDropdownFilter),
+                   ('tags', RelatedDropdownFilter)
                    ]
     search_fields = ('session__id', 'name', 'collection', 'dataset_type__name',
                      'dataset_type__filename_pattern', 'version')

alyx/data/fixtures/data.datasettype.json

@@ -2198,5 +2198,16 @@
       "description": "Image meta-data listing the depths and dimensions of each field of view, acquisition parameters, channels, and the MLAP coordinates of the imaging window center.",
       "filename_pattern": "_*_rawImagingData.meta*"
     }
+  },
+  {
+    "model": "data.datasettype",
+    "pk": "289cb419-274f-4699-ac43-7612de07382e",
+    "fields": {
+      "json": null,
+      "name": "mpciROIs.uuids",
+      "created_by": null,
+      "description": "Unique identifier assigned to each ROI when ALF files created after ROI detection.",
+      "filename_pattern": ""
+    }
   }
 ]

alyx/data/transfers.py

@@ -659,21 +659,22 @@ def globus_delete_local_datasets(datasets, dry=True, gc=None, label=None):
     """
     For each dataset in the queryset delete the file records belonging to a Globus personal repo
     only if a server file exists and matches the size.
-    :param datasets:
+    :param datasets: data.models.Dataset query set
     :param label: label for the transfer
     :param dry: default True
     :return:
     """
     # first get the list of Globus endpoints concerned
-    file_records = FileRecord.objects.filter(dataset__in=datasets)
+    file_records = FileRecord.objects.filter(
+        dataset__in=datasets, data_repository__globus_is_personal=True)
+    file_records = file_records.exclude(data_repository__globus_endpoint_id__isnull=True)
     globus_endpoints = file_records.values_list('data_repository__globus_endpoint_id',
                                                 flat=True).distinct()
     label = label or 'alyx globus client'
     # create a globus delete_client for each globus endpoint
     gtc = gc or globus_transfer_client()
-    delete_clients = []
-    for ge in globus_endpoints:
-        delete_clients.append(globus_sdk.DeleteData(gtc, ge, label=label))
+    # Map of Globus endpoint UUID -> DeleteData client
+    delete_clients = {ge: globus_sdk.DeleteData(gtc, ge, label=label) for ge in globus_endpoints}
 
     def _ls_globus(file_record, add_uuid=False):
         N_RETRIES = 3
@@ -694,7 +695,6 @@ def _ls_globus(file_record, add_uuid=False):
         return [ls for ls in ls_obj['DATA'] if ls['name'] == path.name]
     # appends each file for deletion
     fr2delete = []
-    del_client = []
     for ds in datasets:
         # check the existence of the server file
         fr_server = ds.file_records.filter(exists=True,
@@ -724,17 +724,16 @@ def _ls_globus(file_record, add_uuid=False):
             # the files exist local and remote,
             fr2delete.append(frloc.id)
             file2del = _filename_from_file_record(frloc)
-            del_client = [dc for dc in delete_clients if dc['endpoint'] ==
-                          str(frloc.data_repository.globus_endpoint_id)][0]
+            del_client = delete_clients[(gid := frloc.data_repository.globus_endpoint_id)]
+            assert del_client['endpoint'] == str(gid)
             del_client.add_item(file2del)
             logger.info('DELETE: ' + _filename_from_file_record(frloc))
     # launch the deletion jobs and remove records from the database
     if dry:
-        return del_client
-    for dc in delete_clients:
-        # submitting a deletion without data will create an error
-        if dc['DATA'] == []:
-            continue
+        return delete_clients
+    # NB: filter empty clients as submitting a deletion without data will raise an error
+    for dc in filter(lambda x: x['DATA'], delete_clients.values()):
+        logger.info('Submitting delete for %i file(s) on %s', len(dc['DATA']), dc['endpoint'])
         gtc.submit_delete(dc)
     # remove file records
     frecs = FileRecord.objects.filter(id__in=fr2delete).exclude(

requirements_frozen.txt

@@ -1,81 +1,81 @@
 asgiref==3.7.2
 backports.zoneinfo==0.2.1
-boto3==1.28.37
-botocore==1.31.37
+boto3==1.28.63
+botocore==1.31.63
 certifi==2023.7.22
-cffi==1.15.1
-charset-normalizer==3.2.0
+cffi==1.16.0
+charset-normalizer==3.3.0
 click==8.1.7
 colorlog==6.7.0
-contourpy==1.1.0
+contourpy==1.1.1
 coreapi==2.3.3
 coreschema==0.0.4
 coverage==6.5.0
 coveralls==3.3.1
-cryptography==41.0.3
-cycler==0.11.0
-Django==4.2.4
+cryptography==41.0.4
+cycler==0.12.1
+Django==4.2.6
 django-admin-list-filter-dropdown==1.0.3
-django-admin-rangefilter==0.11.0
+django-admin-rangefilter==0.11.2
 django-autocomplete-light==3.9.7
 django-cleanup==8.0.0
 django-filter==21.1
-django-ipware==5.0.0
+django-ipware==5.0.1
 django-js-asset==2.1.0
 django-mptt==0.14.0
 django-polymorphic==3.1.0
-django-reversion==5.0.4
-django-storages==1.13.2
-django-structlog==5.3.0
+django-reversion==5.0.6
+django-storages==1.14.2
+django-structlog==6.0.0
 django-test-without-migrations==0.6
 djangorestframework==3.14.0
 docopt==0.6.2
 docutils==0.20.1
 drfdocs==0.0.11
 flake8==6.1.0
-fonttools==4.42.1
-globus-cli==3.17.0
-globus-sdk==3.27.0
-iblutil==1.7.0
+fonttools==4.43.1
+globus-cli==3.18.0
+globus-sdk==3.28.0
+iblutil==1.7.1
 idna==3.4
 importlib-metadata==6.8.0
-importlib-resources==6.0.1
+importlib-resources==6.1.0
 itypes==1.2.0
 Jinja2==3.1.2
 jmespath==1.0.1
 kiwisolver==1.4.5
-llvmlite==0.40.1
+llvmlite==0.41.0
 lxml==4.9.3
-Markdown==3.4.4
+Markdown==3.5
 MarkupSafe==2.1.3
-matplotlib==3.7.2
+matplotlib==3.7.3
 mccabe==0.7.0
-numba==0.57.1
+numba==0.58.0
 numpy==1.24.4
-ONE-api==2.2.2
-packaging==23.1
+ONE-api==2.3.0
+packaging==23.2
 pandas==2.0.3
-Pillow==10.0.0
-psycopg2-binary==2.9.7
+Pillow==10.1.0
+psycopg2-binary==2.9.9
 pyarrow==13.0.0
-pycodestyle==2.11.0
+pycodestyle==2.11.1
 pycparser==2.21
 pyflakes==3.1.0
 PyJWT==2.8.0
-pyparsing==3.0.9
+pyparsing==3.1.1
 python-dateutil==2.8.2
 python-magic==0.4.27
-pytz==2023.3
+pytz==2023.3.post1
 PyYAML==6.0.1
 requests==2.31.0
-s3transfer==0.6.2
+s3transfer==0.7.0
 six==1.16.0
 sqlparse==0.4.4
-structlog==23.1.0
+structlog==23.2.0
 tqdm==4.66.1
-typing_extensions==4.7.1
+typing_extensions==4.8.0
 tzdata==2023.3
 uritemplate==4.1.1
-urllib3==1.26.16
+urllib3==1.26.17
 webdavclient3==3.14.6
-zipp==3.16.2
+zipp==3.17.0