def generateSPLOperator(self):
_op = {}
_op["name"] = self.name
_op["kind"] = self.kind
_op["partitioned"] = False
if self._start_op:
_op["startOp"] = True
_outputs = []
_inputs = []
for output in self.outputPorts:
_outputs.append(output.getSPLOutputPort())
for input in self.inputPorts:
_inputs.append(input.getSPLInputPort())
_op["outputs"] = _outputs
_op["inputs"] = _inputs
_op["config"] = {}
_op["config"]["streamViewability"] = self.viewable
_op["config"]["viewConfigs"] = self.view_configs
if self._placement:
_op["config"]["placement"] = self._placement
if 'resourceTags' in self._placement:
# Convert the set to a list for JSON
tags = _op['config']['placement']['resourceTags']
_op['config']['placement']['resourceTags'] = list(tags)
# Add parameters as their string representation
# unless they value has a spl_json() function,
# then use that
_params = {}
# Fix up any pending streams for input style
if 'pyStyle' in self.params and 'pending' == self.params['pyStyle']\
and self.kind.startswith('com.ibm.streamsx.topology.functional.python'):
StreamSchema._fnop_style(self.inputPorts[0].schema, self, 'pyStyle')
for name in self.params:
param = self.params[name]
try:
_params[name] = param.spl_json()
except:
_value = {}
_value["value"] = param
_params[name] = _value
_op["parameters"] = _params
if self.sl is not None:
_op['sourcelocation'] = self.sl.spl_json()
if self._layout_hints:
_op['layout'] = self._layout_hints
# Callout to allow a ExtensionOperator
# to augment the JSON
if hasattr(self, '_ex_op'):
self._ex_op._generate(_op)
return _op
def generateSPLOperator(self):
_op = dict(self._op_def)
_op["name"] = self.name
if self.category:
_op["category"] = self.category
_op["kind"] = self.kind
if self.model:
_op["model"] = self.model
if self.language:
_op["language"] = self.language
_op["partitioned"] = False
if self._start_op:
_op["startOp"] = True
_outputs = []
_inputs = []
for output in self.outputPorts:
_outputs.append(output.getSPLOutputPort())
for input in self.inputPorts:
_inputs.append(input.getSPLInputPort())
_op["outputs"] = _outputs
_op["inputs"] = _inputs
_op["config"] = self.config
_op["config"]["streamViewability"] = self.viewable
_op["config"]["viewConfigs"] = list(self.view_configs.values())
if self._placement:
_op["config"]["placement"] = self._placement
if 'resourceTags' in self._placement:
# Convert the set to a list for JSON
tags = _op['config']['placement']['resourceTags']
_op['config']['placement']['resourceTags'] = list(tags)
# Fix up any pending streams for input style
if 'pyStyle' in self.params and 'pending' == self.params['pyStyle']\
and self.kind.startswith('com.ibm.streamsx.topology.functional.python'):
StreamSchema._fnop_style(self.inputPorts[0].schema, self, 'pyStyle')
# Add parameters as their natural representation
# unless they value has a spl_json() function,
# then use that
_params = {}
for name in self.params:
param = _as_spl_expr(self.params[name])
try:
_params[name] = param.spl_json()
except:
_value = {}
_value["value"] = param
_params[name] = _value
_op["parameters"] = _params
if self.sl is not None:
_op['sourcelocation'] = self.sl.spl_json()
if self._layout_hints:
_op['layout'] = self._layout_hints
if self._consistent is not None:
_op['consistent'] = {}
consistent = _op['consistent']
consistent['trigger'] = self._consistent.trigger.name
if self._consistent.trigger == streamsx.topology.state.ConsistentRegionConfig.Trigger.PERIODIC:
if isinstance(self._consistent.period, datetime.timedelta):
consistent_period = self._consistent.period.total_seconds()
else:
consistent_period = float(self._consistent.period)
consistent['period'] = str(consistent_period)
if isinstance(self._consistent.drain_timeout, datetime.timedelta):
consistent_drain = self._consistent.drain_timeout.total_seconds();
else:
consistent_drain = float(self._consistent.drain_timeout)
consistent['drainTimeout'] = str(consistent_drain)
if isinstance(self._consistent.reset_timeout, datetime.timedelta):
consistent_reset = self._consistent.reset_timeout.total_seconds();
else:
consistent_reset = float(self._consistent.reset_timeout)
consistent['resetTimeout'] = str(consistent_reset)
consistent['maxConsecutiveResetAttempts'] = int(self._consistent.max_consecutive_attempts)
# Callout to allow a ExtensionOperator
# to augment the JSON
if hasattr(self, '_ex_op'):
self._ex_op._generate(_op)
return _op
def generateSPLOperator(self):
_op = {}
_op["name"] = self.name
_op["kind"] = self.kind
_op["partitioned"] = False
if self._start_op:
_op["startOp"] = True
_outputs = []
_inputs = []
for output in self.outputPorts:
_outputs.append(output.getSPLOutputPort())
for input in self.inputPorts:
_inputs.append(input.getSPLInputPort())
_op["outputs"] = _outputs
_op["inputs"] = _inputs
_op["config"] = {}
_op["config"]["streamViewability"] = self.viewable
_op["config"]["viewConfigs"] = self.view_configs
if self._placement:
_op["config"]["placement"] = self._placement
if 'resourceTags' in self._placement:
# Convert the set to a list for JSON
tags = _op['config']['placement']['resourceTags']
_op['config']['placement']['resourceTags'] = list(tags)
# Add parameters as their string representation
# unless they value has a spl_json() function,
# then use that
_params = {}
# Fix up any pending streams for input style
if 'pyStyle' in self.params and 'pending' == self.params['pyStyle']\
and self.kind.startswith('com.ibm.streamsx.topology.functional.python'):
StreamSchema._fnop_style(self.inputPorts[0].schema, self,
'pyStyle')
for name in self.params:
param = self.params[name]
try:
_params[name] = param.spl_json()
except:
_value = {}
_value["value"] = param
_params[name] = _value
_op["parameters"] = _params
if self.sl is not None:
_op['sourcelocation'] = self.sl.spl_json()
if self._layout_hints:
_op['layout'] = self._layout_hints
# Callout to allow a ExtensionOperator
# to augment the JSON
if hasattr(self, '_ex_op'):
self._ex_op._generate(_op)
return _op