def request_server_command_defs(server):
logger.info("Requesting available commands from server")
from trustedanalytics.core.errorhandle import IaError
try:
return server.get("/commands/definitions")
except:
import sys
sys.stderr.write('Unable to connect to server %s\n' % server._get_base_uri())
raise IaError(logger)
def execute_in_api_context(function, *args, **kwargs):
with api_context(logger, depth, function, *args, **kwargs):
try:
verify_api_installed()
return function(*args, **kwargs)
except:
error = IaError(exec_logger)
raise error # see trustedanalytics.errors.last for python details
def __init__(self, name=None, _info=None):
"""Initialize the graph."""
try:
self.uri = None
if not hasattr(self, '_backend'):
self._backend = _get_backend()
_BaseGraph.__init__(self)
self.uri = self._backend.create(self, name, 'hbase/titan', _info)
# logger.info('Created new graph "%s"', new_graph_name)
except:
raise IaError(logger)
def __init__(self, name=None, _info=None):
"""Initialize the graph.
Examples
--------
Starting with a ta.Graph you can export to Titan to take advantage of Gremlin query.
.. code::
>>> graph = ta.get_graph("my_graph")
>>> titan_graph = graph.export_to_titan("titan_graph")
</skip>
"""
try:
self.uri = None
if not hasattr(self, '_backend'):
self._backend = _get_backend()
_BaseGraph.__init__(self)
self.uri = self._backend.create(self, name, 'hbase/titan', _info)
# logger.info('Created new graph "%s"', new_graph_name)
except:
raise IaError(logger)
def __exit__(self, exception_type, exception_value, traceback):
self.call_stack.dec()
if exception_value:
error = IaError(self.logger)
raise error # see trustedanalytics.errors.last for details