How to use the gsutil.gs_download_link function in gsutil

table = ofn[:-4].replace('-','_')
    
    print "Importing into BigQuery as %s:%s.%s" % (project_id, dataset, table)
    sys.stdout.flush()
    mypath = os.path.dirname(os.path.realpath(__file__))
    SCHEMA_FILE = '%s/schemas/schema_person_course.json' % mypath
    the_schema = json.loads(open(SCHEMA_FILE).read())['person_course']

    bqutil.load_data_to_table(dataset, table, gsfn, the_schema, format='csv', skiprows=1, project_id=output_project_id)

    msg = ''
    msg += "Combined person-course dataset, with data from:\n"
    msg += str(course_id_set)
    msg += "\n\n"
    msg += "="*100 + "\n"
    msg += "CSV download link: %s" % gsutil.gs_download_link(gsfn)

    bqutil.add_description_to_table(dataset, table, msg, append=True, project_id=output_project_id)
    
    # copy the new table (which has a specific date in its name) to a generically named "person_course_latest"
    # so that future SQL queries can simply use this as the latest person course table
    print "-> Copying %s to %s.person_course_latest" % (table, dataset)
    bqutil.copy_bq_table(dataset, table, "person_course_latest")

    if extract_subset_tables:
        do_extract_subset_person_course_tables(dataset, table)

    print "Done"
    sys.stdout.flush()

sql_for_description=sql_for_description or the_sql,
                                         allowLargeResults=allowLargeResults,
                                         maximumBillingTier=maximumBillingTier,
                                     )
        except Exception as err:
            print "ERROR! Failed on SQL="
            print the_sql
            raise

        gsfn = "%s/%s.csv" % (self.gsbucket, tablename)
        bqutil.extract_table_to_gs(the_dataset, tablename, gsfn, 
                                   format='csv', 
                                   do_gzip=False,
                                   wait=False)

        msg = "CSV download link: %s" % gsutil.gs_download_link(gsfn)
        print msg
        bqutil.add_description_to_table(the_dataset, tablename, msg, append=True, project_id=self.output_project_id)

msg = "[researchData]: CSV download link: %s" % gsutil.gs_download_link( gsfilename )
		print msg
		sys.stdout.flush()
	
	except Exception as err:

		print str(err)
		if ('BQ Error creating table' in str(err) ):
			msg = "[researchData]: Retrying... by sharding."
			print msg
			sys.stdout.flush()
			gsfilename  = "%s/%s-*.csv.gz" % ( self.gsp, tablename )
			print gsfilename
			sys.stdout.flush()
			ret = bqutil.extract_table_to_gs( the_dataset, tablename, gsfilename, format=rdp_format, do_gzip=True, wait=True)
			msg = "[researchData]: CSV download link: %s" % gsutil.gs_download_link( gsfilename )
			print msg
			sys.stdout.flush()
	

	# Copy from Google Storage to Secure Data Warehouse for archiving
	archiveLocation = find_course_sql_dir(course_id=course_id, basedir=basedir, datedir=datedir, use_dataset_latest=True)
	#time.sleep( CFG.TIME_TO_WAIT_30s ) # delay needed to allow for GS to upload file fully (This should be size dependent, and may not be enough time)
	msg = "[researchData]: Archiving Research Data table %s from %s to %s" % ( tablename, gsfilename, archiveLocation )
	print msg
        sys.stdout.flush()
	gsutil.upload_file_to_gs(src=gsfilename, dst=archiveLocation, verbose=True)

	pass

self.gsp = gsutil.gs_path_from_course_id( course_id=course_id, gsbucket=output_bucket, use_dataset_latest=True )
		gsfilename  = "%s/%s" % ( self.gsp, RESEARCH_DATA_PRODUCTS[ rdp ] )

	else: 
		print "ERROR! Must specify course_id's.  Aborting."
		return

	try:
		# Copy to Google Storage
		msg = "[researchData]: Copying Research Data table %s to %s" % ( tablename, gsfilename )
		print msg
		#gsfilename  = "%s/%s-*.csv.gz" % ( self.gsp, tablename ) # temp
		gsfilename  = "%s/%s.csv.gz" % ( self.gsp, tablename ) # temp
		ret = bqutil.extract_table_to_gs( the_dataset, tablename, gsfilename, format=rdp_format, do_gzip=True, wait=True)
		msg = "[researchData]: CSV download link: %s" % gsutil.gs_download_link( gsfilename )
		print msg
		sys.stdout.flush()
	
	except Exception as err:

		print str(err)
		if ('BQ Error creating table' in str(err) ):
			msg = "[researchData]: Retrying... by sharding."
			print msg
			sys.stdout.flush()
			gsfilename  = "%s/%s-*.csv.gz" % ( self.gsp, tablename )
			print gsfilename
			sys.stdout.flush()
			ret = bqutil.extract_table_to_gs( the_dataset, tablename, gsfilename, format=rdp_format, do_gzip=True, wait=True)
			msg = "[researchData]: CSV download link: %s" % gsutil.gs_download_link( gsfilename )
			print msg