prep for release

CHANGELOG.md

@@ -1,4 +1,20 @@
 # Changelog
+# Version 3.7.0 (2021-11-10)
+## Added
+* Search for data row ids from external ids without specifying a dataset
+    * `client.get_data_row_ids_for_external_ids()`
+* Support for numeric metadata type
+
+## Updated
+* The following `DataRowMetadataOntology` fields were renamed:
+    * `all_fields` -> `fields`
+    * `all_fields_id_index` -> `fields_by_id`
+    * `reserved_id_index` -> `reserved_by_id`
+    * `reserved_name_index` -> `reserved_by_name`
+    * `custom_id_index` -> `custom_by_id`
+    * `custom_name_index` -> `custom_by_name`
+
+
 # Version 3.6.1 (2021-07-10)
 * Fix import error that appears when exporting labels
 

docs/source/conf.py

@@ -21,7 +21,7 @@
 copyright = '2021, Labelbox'
 author = 'Labelbox'
 
-release = '3.0.0-rc0'
+release = '3.7.0'
 
 # -- General configuration ---------------------------------------------------
 

labelbox/__init__.py

@@ -1,5 +1,5 @@
 name = "labelbox"
-__version__ = "3.6.1"
+__version__ = "3.7.0"
 
 from labelbox.schema.project import Project
 from labelbox.client import Client

labelbox/client.py

@@ -669,20 +669,19 @@ def get_data_row_ids_for_external_ids(
 
         Args:
             external_ids: List of external ids to fetch data row ids for
-
         Returns:
             A dict of external ids as keys and values as a list of data row ids that correspond to that external id.
         """
         query_str = """query externalIdsToDataRowIdsPyApi($externalId_in: [String!]!){
             externalIdsToDataRowIds(externalId_in: $externalId_in) { dataRowId externalId }
         }
         """
-        max_n_per_request = 100
+        max_ids_per_request = 100
         result = defaultdict(list)
-        for i in range(0, len(external_ids), max_n_per_request):
+        for i in range(0, len(external_ids), max_ids_per_request):
             for row in self.execute(
                     query_str,
-                {'externalId_in': external_ids[i:i + max_n_per_request]
+                {'externalId_in': external_ids[i:i + max_ids_per_request]
                 })['externalIdsToDataRowIds']:
                 result[row['externalId']].append(row['dataRowId'])
         return result

tests/integration/test_data_row_metadata.py

@@ -143,8 +143,11 @@ def test_bulk_partial_delete_datarow_metadata(datarow, mdo):
     mdo.bulk_delete([
         DeleteDataRowMetadata(data_row_id=datarow.uid, fields=[TEXT_SCHEMA_ID])
     ])
-    assert len(mdo.bulk_export(
-        [datarow.uid])[0].fields) == (n_fields + len(metadata.fields) - 1)
+    fields = [
+        f for f in mdo.bulk_export([datarow.uid])[0].fields
+        if f.schema_id != PRE_COMPUTED_EMBEDDINGS_ID
+    ]
+    assert len(fields) == (len(metadata.fields) - 1)
 
 
 def test_large_bulk_delete_datarow_metadata(big_dataset, mdo):