TMSS-1144: use rough guesstimate of cache size for 10 subtasks times 488 dataproducts per subtask

SAS/TMSS/backend/src/tmss/tmssapp/adapters/sip.py

 from lofar.sas.tmss.tmss.exceptions import *
-from lofar.sas.tmss.tmss.tmssapp.models.scheduling import Dataproduct, SubtaskType, Subtask, SubtaskOutput, SIPidentifier, HashAlgorithm
+from lofar.sas.tmss.tmss.tmssapp.models.scheduling import Dataproduct, SubtaskType, Subtask, SubtaskOutput, SubtaskState, SIPidentifier, HashAlgorithm
 from lofar.sas.tmss.tmss.tmssapp.models.specification import Datatype, Dataformat
 from lofar.lta.sip import siplib, ltasip, validator, constants
 from lofar.common.json_utils import add_defaults_to_json_object_for_schema
@@ -127,6 +127,7 @@ def add_subbtask_and_input_dataproducts_to_sip(subtask: Subtask, sip: siplib.Sip
                 sip.add_related_dataproduct(sip_dataproduct, return_xml=False)
 
 
+@lru_cache(maxsize=10, typed=False)
 def create_sip_representation_for_subtask(subtask: Subtask):
     """
     Extract info from the TMSS subtask and create a sip object representation corresponding to the type of the subtask
@@ -273,7 +274,7 @@ def create_sip_representation_for_subtask(subtask: Subtask):
         raise TMSSException("The Subtask type %s cannot be represented in a SIP" % subtask.specifications_template.type.value)
 
 
-@lru_cache(maxsize=256, typed=False)
+@lru_cache(maxsize=10*488, typed=False)
 def create_sip_representation_for_dataproduct(dataproduct: Dataproduct):
     """
     Extract info from the TMSS dataproduct and creates a SIP object representation