def create_oaiharvest_log(task_id, oai_src_id, marcxmlfile):
"""
Function which creates the harvesting logs
:param task_id: bibupload task id
:param oai_src_id:
:param marcxmlfile:
"""
file_fd = open(marcxmlfile, "r")
xml_content = file_fd.read(-1)
file_fd.close()
create_oaiharvest_log_str(task_id, oai_src_id, xml_content)
def create_oaiharvest_log(task_id, oai_src_id, marcxmlfile):
"""
Function which creates the harvesting logs
:param task_id: bibupload task id
:param oai_src_id:
:param marcxmlfile:
"""
file_fd = open(marcxmlfile, "r")
xml_content = file_fd.read(-1)
file_fd.close()
create_oaiharvest_log_str(task_id, oai_src_id, xml_content)
def upload_step(obj, eng):
"""
Perform the upload step.
:param obj: Bibworkflow Object to process
:param eng: BibWorkflowEngine processing the object
"""
from invenio.legacy.oaiharvest.dblayer import create_oaiharvest_log_str
uploaded_task_ids = []
#Work comment:
#
#Prepare in case of filtering the files to up,
#no filtering, no other things to do
new_dict_representation = records_api.Record(obj.data)
marcxml_value = new_dict_representation.legacy_export_as_marc()
task_id = None
# Get a random sequence ID that will allow for the tasks to be
# run in order, regardless if parallel task execution is activated
sequence_id = random.randrange(1, 60000)
bibtask.task_sleep_now_if_required()
extract_path = plotextractor_getter.make_single_directory(cfg['CFG_TMPSHAREDDIR'], eng.uuid)
# Now we launch BibUpload tasks for the final MARCXML files
filepath = extract_path + os.sep + str(obj.id)
file_fd = open(filepath, 'w')
file_fd.write(marcxml_value)
file_fd.close()
mode = ["-r", "-i"]
arguments = obj.extra_data["_repository"]["arguments"]
if os.path.exists(filepath):
try:
args = mode
if sequence_id:
args.extend(['-I', str(sequence_id)])
if arguments.get('u_name', ""):
args.extend(['-N', arguments.get('u_name', "")])
if arguments.get('u_priority', 5):
args.extend(['-P', str(arguments.get('u_priority', 5))])
args.append(filepath)
task_id = bibtask.task_low_level_submission("bibupload", "oaiharvest", *tuple(args))
create_oaiharvest_log_str(task_id, obj.extra_data["_repository"]["id"], marcxml_value)
except Exception as msg:
eng.log.error("An exception during submitting oaiharvest task occured : %s " % (str(msg)))
return None
else:
eng.log.error("marcxmlfile %s does not exist" % (filepath,))
if task_id is None:
eng.log.error("an error occurred while uploading %s from %s" %
(filepath, obj.extra_data["_repository"]["name"]))
else:
uploaded_task_ids.append(task_id)
eng.log.info("material harvested from source %s was successfully uploaded" %
(obj.extra_data["_repository"]["name"],))
if cfg['CFG_INSPIRE_SITE']:
# Launch BibIndex,Webcoll update task to show uploaded content quickly
bibindex_params = ['-w', 'collection,reportnumber,global',
'-P', '6',
'-I', str(sequence_id),
'--post-process',
'bst_run_bibtask[taskname="webcoll", user="******", P="6", c="HEP"]']
bibtask.task_low_level_submission("bibindex", "oaiharvest", *tuple(bibindex_params))
eng.log.info("end of upload")
def upload_step_marcxml(obj, eng):
"""Perform the upload step with MARCXML in obj.data().
:param obj: BibWorkflowObject to process
:param eng: BibWorkflowEngine processing the object
"""
from invenio.base.globals import cfg
from invenio.legacy.oaiharvest.dblayer import create_oaiharvest_log_str
from invenio.legacy.bibsched.bibtask import task_low_level_submission
repository = obj.extra_data.get("repository", {})
sequence_id = random.randrange(1, 60000)
arguments = repository.get("arguments", {})
default_args = []
default_args.extend(['-I', str(sequence_id)])
if arguments.get('u_name', ""):
default_args.extend(['-N', arguments.get('u_name', "")])
if arguments.get('u_priority', 5):
default_args.extend(['-P', str(arguments.get('u_priority', 5))])
extract_path = os.path.join(
cfg['CFG_TMPSHAREDDIR'],
str(eng.uuid)
)
if not os.path.exists(extract_path):
os.makedirs(extract_path)
filepath = extract_path + os.sep + str(obj.id)
if "f" in repository.get("postprocess", []):
# We have a filter.
file_uploads = [
("{0}.insert.xml".format(filepath), ["-i"]),
("{0}.append.xml".format(filepath), ["-a"]),
("{0}.correct.xml".format(filepath), ["-c"]),
("{0}.holdingpen.xml".format(filepath), ["-o"]),
]
else:
# We do not, so we get the data from the record
file_fd = open(filepath, 'w')
file_fd.write(obj.get_data())
file_fd.close()
file_uploads = [(filepath, ["-r", "-i"])]
task_id = None
for location, mode in file_uploads:
if os.path.exists(location):
try:
args = mode + [filepath] + default_args
task_id = task_low_level_submission("bibupload",
"oaiharvest",
*tuple(args))
repo_id = repository.get("id")
if repo_id:
create_oaiharvest_log_str(
task_id,
repo_id,
obj.get_data()
)
except Exception as msg:
eng.log.error(
"An exception during submitting OAI harvester task occurred: %s " % (
str(msg)))
if task_id is None:
eng.log.error("an error occurred while uploading %s from %s" %
(filepath, repository.get("name", "Unknown")))
else:
eng.log.info(
"material harvested from source %s was successfully uploaded" %
(repository.get("name", "Unknown"),))
eng.log.info("end of upload")
def upload_step(obj, eng):
"""Perform the upload step.
:param obj: BibWorkflowObject to process
:param eng: BibWorkflowEngine processing the object
"""
from invenio.legacy.oaiharvest.dblayer import create_oaiharvest_log_str
from invenio.modules.records.api import Record
from invenio.legacy.bibsched.bibtask import task_low_level_submission
repository = obj.extra_data.get("repository", {})
sequence_id = random.randrange(1, 60000)
arguments = repository.get("arguments", {})
default_args = []
default_args.extend(['-I', str(sequence_id)])
if arguments.get('u_name', ""):
default_args.extend(['-N', arguments.get('u_name', "")])
if arguments.get('u_priority', 5):
default_args.extend(['-P', str(arguments.get('u_priority', 5))])
extract_path = os.path.join(
cfg['CFG_TMPSHAREDDIR'],
str(eng.uuid)
)
if not os.path.exists(extract_path):
os.makedirs(extract_path)
filepath = extract_path + os.sep + str(obj.id)
if "f" in repository.get("postprocess", []):
# We have a filter.
file_uploads = [
("{0}.insert.xml".format(filepath), ["-i"]),
("{0}.append.xml".format(filepath), ["-a"]),
("{0}.correct.xml".format(filepath), ["-c"]),
("{0}.holdingpen.xml".format(filepath), ["-o"]),
]
else:
# We do not, so we get the data from the record
marcxml_value = Record(obj.data.dumps()).legacy_export_as_marc()
file_fd = open(filepath, 'w')
file_fd.write(marcxml_value)
file_fd.close()
file_uploads = [(filepath, ["-r", "-i"])]
task_id = None
for location, mode in file_uploads:
if os.path.exists(location):
try:
args = mode + [filepath] + default_args
task_id = task_low_level_submission("bibupload",
"oaiharvest",
*tuple(args))
repo_id = repository.get("id")
if repo_id:
create_oaiharvest_log_str(
task_id,
repo_id,
obj.get_data()
)
except Exception as msg:
eng.log.error(
"An exception during submitting oaiharvest task occured : %s " % (
str(msg)))
if task_id is None:
eng.log.error("an error occurred while uploading %s from %s" %
(filepath, repository.get("name", "Unknown")))
else:
eng.log.info(
"material harvested from source %s was successfully uploaded" %
(repository.get("name", "Unknown"),))
eng.log.info("end of upload")
