def load(params):
if (platform.system() != 'Linux' and
not os.environ.get('WORKER_FORCE_DOCKER_START')):
raise Exception('The docker plugin only works on Linux hosts due to '
'mapping of shared volumes and pipes between host and '
'container.')
girder_worker.events.bind('run.before', 'docker', before_run)
girder_worker.register_executor('docker', executor.run)
def load(params):
girder_worker.register_executor('r', executor.run)
converters_dir = os.path.join(params['plugin_dir'], 'converters')
girder_worker.format.import_converters([
os.path.join(converters_dir, 'r'),
os.path.join(converters_dir, 'table'),
os.path.join(converters_dir, 'tree')
])
def load(params):
# If we have a spark config section then try to setup spark environment
if girder_worker.config.has_section('spark') or 'SPARK_HOME' in os.environ:
spark.setup_spark_env()
girder_worker.register_executor('spark.python', pyspark_executor.run)
girder_worker.events.bind('run.before', 'spark', setup_pyspark_task)
girder_worker.events.bind('run.finally', 'spark', pyspark_run_cleanup)
girder_worker.format.import_converters(
os.path.join(params['plugin_dir'], 'converters'))
def load(params):
girder_worker.register_executor("julia", executor.run)
def load(params):
girder_worker.register_executor('scala', executor.run)
girder_worker.register_executor('spark.scala', executor.run_spark)
def load(params):
girder_worker.register_executor('swift', executor.run)
def load(params):
girder_worker.register_executor('docker', executor.run)