Files
galaxy/scripts/set_metadata.py
T
Daniel Blankenberg df82f3e163 Add the ability for metadata to be set in an external process, this requires set_metadata_externally = True in universe_wsgi.ini.
Currently this is supported in the local runner (long running set_meta() can now be canceled the same as with jobs) and in the non-staging PBS runner.

There is a slight change to how new Metadata FileParameters are to be created in datatype.set_meta(), see the MAF datatype.

TODO:
Prevent editing of metadata on a running job when metadata is to be set externally.
Have datasets which were copied before job completion use the metadata from the original output dataset; currently .set_meta() is called locally on these.
2009-03-03 12:54:06 -05:00

38 lines
1.9 KiB
Python

"""
Execute an external process to set_meta() on a provided list of pickled datasets.
This should not be called directly! Use the set_metadata.sh script in Galaxy's
top level directly.
"""
import os, sys, cPickle
assert sys.version_info[:2] >= ( 2, 4 )
new_path = [ os.path.join( os.getcwd(), "lib" ) ]
new_path.extend( sys.path[1:] ) # remove scripts/ from the path
sys.path = new_path
from galaxy import eggs
import pkg_resources
import galaxy.model.mapping #need to load this before we unpickle, in order to setup properties assigned by the mappers
galaxy.model.Job() #this looks REAL stupid, but it is REQUIRED in order for SA to insert parameters into the classes defined by the mappers --> it appears that instantiating ANY mapper'ed class would suffice here
galaxy.datatypes.metadata.DATABASE_CONNECTION_AVAILABLE = False #Let metadata know that there is no database connection, and to just assume object ids are valid
def __main__():
file_path = sys.argv.pop( 1 )
tmp_dir = sys.argv.pop( 1 )
galaxy.model.Dataset.file_path = file_path
galaxy.datatypes.metadata.MetadataTempFile.tmp_dir = tmp_dir
for pickled_filenames in sys.argv[1:]:
pickled_filename_in, pickled_filename_kwds, pickled_filename_out, pickled_filename_results_code = pickled_filenames.split( ',' )
try:
data = cPickle.load( open( pickled_filename_in ) )#unpickle DatasetInstance
kwds = cPickle.load( open( pickled_filename_kwds ) )#unpickle kwds
data.datatype.set_meta( data, **kwds )
data.metadata.to_pickled_dict( pickled_filename_out ) # write out results of set_meta
cPickle.dump( ( True, 'Metadata has been set successfully' ), open( pickled_filename_results_code, 'wb+' ) ) #setting metadata has suceeded
except Exception, e:
cPickle.dump( ( False, e ), open( pickled_filename_results_code, 'wb+' ) ) #setting metadata has failed somehow
__main__()