Sort out all the non-nullable columns with empty values.

pokedex/data/csv/item_categories.csv

@@ -23,7 +23,7 @@ id,pocket_id,identifier
 22,8,plot-advancement
 23,8,unused
 24,1,loot
-25,6,
+25,6,all-mail
 26,2,vitamins
 27,2,healing
 28,2,pp-recovery
@@ -34,7 +34,7 @@ id,pocket_id,identifier
 34,3,standard-balls
 35,1,dex-completion
 36,1,scarves
-37,4,
+37,4,all-machines
 38,7,flutes
 39,3,apricorn-balls
 40,8,apricorn-box

pokedex/data/csv/item_category_prose.csv

@@ -23,7 +23,7 @@ item_category_id,local_language_id,name
 22,9,Plot advancement
 23,9,Unused
 24,9,Loot
-25,9,
+25,9,All mail
 26,9,Vitamins
 27,9,Healing
 28,9,PP recovery
@@ -34,7 +34,7 @@ item_category_id,local_language_id,name
 34,9,Standard balls
 35,9,Dex completion
 36,9,Scarves
-37,9,
+37,9,All machines
 38,9,Flutes
 39,9,Apricorn balls
 40,9,Apricorn Box

pokedex/db/load.py

@@ -261,9 +261,6 @@ def load(session, tables=[], directory=None, drop_tables=False, verbose=False, s
 
             for column_name, value in zip(column_names, csvs):
                 column = table_obj.c[column_name]
-                # Oracle treats empty strings as NULL
-                if not column.nullable and value == '' and oranames:
-                    value = ' '
                 if column.nullable and value == '':
                     # Empty string in a nullable column really means NULL
                     value = None

pokedex/db/tables.py

@@ -1062,7 +1062,7 @@ class LocationArea(TableBase):
 
 create_translation_table('location_area_prose', LocationArea, 'prose',
     relation_lazy='joined',
-    name = Column(Unicode(64), nullable=False, index=True,
+    name = Column(Unicode(64), nullable=True, index=True,
         info=dict(description="The name", format='plaintext', official=False)),
 )