partial reverts 04d1c2c, add ranRange=0 as usePartialDataset back

src/python/TaskWorker/Actions/DBSDataDiscovery.py

@@ -419,6 +419,21 @@ def executeInternal(self, *args, **kwargs):
             secondaryBlocksWithLocation = secondaryLocationsMap.copy().keys()
 
         # filter out TAPE locations
+        # temporary hack until we have a new config. parameter: allow user to accpet a partial dataset
+        # by inserting '0' as (first element of) runRange
+        usePartialDataset = False
+        runRange = kwargs['task']['tm_split_args']['runs']
+        if runRange and runRange[0] == '0':
+            usePartialDataset = True
+            # remove initial '0' from run list
+            # note that it caused an extra entry to be created in lumilis as well
+            kwargs['task']['tm_split_args']['runs'] = kwargs['task']['tm_split_args']['runs'][1:]
+            kwargs['task']['tm_split_args']['lumis'] = kwargs['task']['tm_split_args']['lumis'][1:]
+            runRange = kwargs['task']['tm_split_args']['runs']
+        # or use Data.partialDataset configuration option in client
+        elif kwargs['task']['tm_user_config']['partialdataset']:
+            usePartialDataset = True
+
         self.keepOnlyDiskRSEs(locationsMap)
         if not locationsMap:
             msg = "Task could not be submitted because there is no DISK replica for dataset %s" % inputDataset
@@ -430,7 +445,7 @@ def executeInternal(self, *args, **kwargs):
                 self.requestTapeRecall(blockList=blocksWithLocation, system='Rucio', msgHead=msg)
         if set(locationsMap.keys()) != set(blocksWithLocation):
             dataTier = inputDataset.split('/')[3]
-            if kwargs['task']['tm_user_config']['partialdataset']:
+            if usePartialDataset:
                 msg = "Some blocks are on TAPE only and can not be reaed."
                 msg += "\nSince you specified to accept a partial dataset, only blocks on disk will be processed"
                 self.logger.warning(msg)
@@ -450,7 +465,6 @@ def executeInternal(self, *args, **kwargs):
         # will not need lumi info if user has asked for split by file with no run/lumi mask
         splitAlgo = kwargs['task']['tm_split_algo']
         lumiMask = kwargs['task']['tm_split_args']['lumis']
-        runRange = kwargs['task']['tm_split_args']['runs']
 
         needLumiInfo = splitAlgo != 'FileBased' or lumiMask != [] or runRange != []
         # secondary dataset access relies on run/lumi info