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SKA-ScienceDataProcessor/integration-prototype | sip/tango_control/tango_subarray/app/subarray_device.py | SubarrayDevice.processing_blocks | def processing_blocks(self):
"""Return list of PBs associated with the subarray.
<http://www.esrf.eu/computing/cs/tango/pytango/v920/server_api/server.html#PyTango.server.pipe>
"""
sbi_ids = Subarray(self.get_name()).sbi_ids
pbs = []
for sbi_id in sbi_ids:
sb... | python | def processing_blocks(self):
"""Return list of PBs associated with the subarray.
<http://www.esrf.eu/computing/cs/tango/pytango/v920/server_api/server.html#PyTango.server.pipe>
"""
sbi_ids = Subarray(self.get_name()).sbi_ids
pbs = []
for sbi_id in sbi_ids:
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SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/configuration_db/sip_config_db/utils/datetime_utils.py | datetime_from_isoformat | def datetime_from_isoformat(value: str):
"""Return a datetime object from an isoformat string.
Args:
value (str): Datetime string in isoformat.
"""
if sys.version_info >= (3, 7):
return datetime.fromisoformat(value)
return datetime.strptime(value, '%Y-%m-%dT%H:%M:%S.%f') | python | def datetime_from_isoformat(value: str):
"""Return a datetime object from an isoformat string.
Args:
value (str): Datetime string in isoformat.
"""
if sys.version_info >= (3, 7):
return datetime.fromisoformat(value)
return datetime.strptime(value, '%Y-%m-%dT%H:%M:%S.%f') | [
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SKA-ScienceDataProcessor/integration-prototype | sip/tango_control/tango_master/app/sdp_master_device.py | SDPMasterDevice.init_device | def init_device(self):
"""Device constructor."""
Device.init_device(self)
# Add anything here that has to be done before the device is set to
# its ON state.
self._set_master_state('on')
self._devProxy = DeviceProxy(self.get_name()) | python | def init_device(self):
"""Device constructor."""
Device.init_device(self)
# Add anything here that has to be done before the device is set to
# its ON state.
self._set_master_state('on')
self._devProxy = DeviceProxy(self.get_name()) | [
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SKA-ScienceDataProcessor/integration-prototype | sip/tango_control/tango_master/app/sdp_master_device.py | SDPMasterDevice.always_executed_hook | def always_executed_hook(self):
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self.info_stream("Test of Tango loggi... | python | def always_executed_hook(self):
"""Run for each command."""
_logT = self._devProxy.get_logging_target()
if 'device::sip_sdp_logger' not in _logT:
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SKA-ScienceDataProcessor/integration-prototype | sip/tango_control/tango_master/app/sdp_master_device.py | SDPMasterDevice.configure | def configure(self, value):
"""Schedule an offline only SBI with SDP."""
# Only accept new SBIs if the SDP is on.
if self._sdp_state.current_state != 'on':
raise RuntimeWarning('Unable to configure SBIs unless SDP is '
'\'on\'.')
# Check tha... | python | def configure(self, value):
"""Schedule an offline only SBI with SDP."""
# Only accept new SBIs if the SDP is on.
if self._sdp_state.current_state != 'on':
raise RuntimeWarning('Unable to configure SBIs unless SDP is '
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SKA-ScienceDataProcessor/integration-prototype | sip/tango_control/tango_master/app/sdp_master_device.py | SDPMasterDevice._get_service_state | def _get_service_state(service_id: str):
"""Get the Service state object for the specified id."""
LOG.debug('Getting state of service %s', service_id)
services = get_service_id_list()
service_ids = [s for s in services if service_id in s]
if len(service_ids) != 1:
ret... | python | def _get_service_state(service_id: str):
"""Get the Service state object for the specified id."""
LOG.debug('Getting state of service %s', service_id)
services = get_service_id_list()
service_ids = [s for s in services if service_id in s]
if len(service_ids) != 1:
ret... | [
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SKA-ScienceDataProcessor/integration-prototype | sip/tango_control/tango_master/app/sdp_master_device.py | SDPMasterDevice.get_current_service_state | def get_current_service_state(self, service_id: str):
"""Get the state of a SDP service."""
state = self._get_service_state(service_id)
return state.current_state | python | def get_current_service_state(self, service_id: str):
"""Get the state of a SDP service."""
state = self._get_service_state(service_id)
return state.current_state | [
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SKA-ScienceDataProcessor/integration-prototype | sip/tango_control/tango_master/app/sdp_master_device.py | SDPMasterDevice.get_target_service_state | def get_target_service_state(self, service_id: str):
"""Get the state of a SDP service."""
state = self._get_service_state(service_id)
return state.target_state | python | def get_target_service_state(self, service_id: str):
"""Get the state of a SDP service."""
state = self._get_service_state(service_id)
return state.target_state | [
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SKA-ScienceDataProcessor/integration-prototype | sip/tango_control/tango_master/app/sdp_master_device.py | SDPMasterDevice.allowed_target_sdp_states | def allowed_target_sdp_states(self):
"""Return a list of allowed target states for the current state."""
_current_state = self._sdp_state.current_state
_allowed_target_states = self._sdp_state.allowed_target_states[
_current_state]
return json.dumps(dict(allowed_target_sdp_st... | python | def allowed_target_sdp_states(self):
"""Return a list of allowed target states for the current state."""
_current_state = self._sdp_state.current_state
_allowed_target_states = self._sdp_state.allowed_target_states[
_current_state]
return json.dumps(dict(allowed_target_sdp_st... | [
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SKA-ScienceDataProcessor/integration-prototype | sip/tango_control/tango_master/app/sdp_master_device.py | SDPMasterDevice.target_sdp_state | def target_sdp_state(self, state):
"""Update the target state of SDP."""
LOG.info('Setting SDP target state to %s', state)
if self._sdp_state.current_state == state:
LOG.info('Target state ignored, SDP is already "%s"!', state)
if state == 'on':
self.set_state(Dev... | python | def target_sdp_state(self, state):
"""Update the target state of SDP."""
LOG.info('Setting SDP target state to %s', state)
if self._sdp_state.current_state == state:
LOG.info('Target state ignored, SDP is already "%s"!', state)
if state == 'on':
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SKA-ScienceDataProcessor/integration-prototype | sip/tango_control/tango_master/app/sdp_master_device.py | SDPMasterDevice.health | def health(self):
"""Health check method, returns the up-time of the device."""
return json.dumps(dict(uptime='{:.3f}s'
.format((time.time() - self._start_time)))) | python | def health(self):
"""Health check method, returns the up-time of the device."""
return json.dumps(dict(uptime='{:.3f}s'
.format((time.time() - self._start_time)))) | [
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SKA-ScienceDataProcessor/integration-prototype | sip/tango_control/tango_master/app/sdp_master_device.py | SDPMasterDevice.scheduling_block_instances | def scheduling_block_instances(self):
"""Return the a JSON dict encoding the SBIs known to SDP."""
# TODO(BMo) change this to a pipe?
sbi_list = SchedulingBlockInstanceList()
return json.dumps(dict(active=sbi_list.active,
completed=sbi_list.completed,
... | python | def scheduling_block_instances(self):
"""Return the a JSON dict encoding the SBIs known to SDP."""
# TODO(BMo) change this to a pipe?
sbi_list = SchedulingBlockInstanceList()
return json.dumps(dict(active=sbi_list.active,
completed=sbi_list.completed,
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SKA-ScienceDataProcessor/integration-prototype | sip/tango_control/tango_master/app/sdp_master_device.py | SDPMasterDevice.processing_blocks | def processing_blocks(self):
"""Return the a JSON dict encoding the PBs known to SDP."""
pb_list = ProcessingBlockList()
# TODO(BMo) realtime, offline etc.
return json.dumps(dict(active=pb_list.active,
completed=pb_list.completed,
... | python | def processing_blocks(self):
"""Return the a JSON dict encoding the PBs known to SDP."""
pb_list = ProcessingBlockList()
# TODO(BMo) realtime, offline etc.
return json.dumps(dict(active=pb_list.active,
completed=pb_list.completed,
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SKA-ScienceDataProcessor/integration-prototype | sip/tango_control/tango_master/app/sdp_master_device.py | SDPMasterDevice.processing_block_devices | def processing_block_devices(self):
"""Get list of processing block devices."""
# Get the list and number of Tango PB devices
tango_db = Database()
pb_device_class = "ProcessingBlockDevice"
pb_device_server_instance = "processing_block_ds/1"
pb_devices = tango_db.get_devi... | python | def processing_block_devices(self):
"""Get list of processing block devices."""
# Get the list and number of Tango PB devices
tango_db = Database()
pb_device_class = "ProcessingBlockDevice"
pb_device_server_instance = "processing_block_ds/1"
pb_devices = tango_db.get_devi... | [
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SKA-ScienceDataProcessor/integration-prototype | sip/tango_control/tango_master/app/sdp_master_device.py | SDPMasterDevice._set_master_state | def _set_master_state(self, state):
"""Set the state of the SDPMaster."""
if state == 'init':
self._service_state.update_current_state('init', force=True)
self.set_state(DevState.INIT)
elif state == 'on':
self.set_state(DevState.ON)
self._service_... | python | def _set_master_state(self, state):
"""Set the state of the SDPMaster."""
if state == 'init':
self._service_state.update_current_state('init', force=True)
self.set_state(DevState.INIT)
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self.set_state(DevState.ON)
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SKA-ScienceDataProcessor/integration-prototype | sip/tango_control/tango_subarray/app/register_devices.py | register_subarray_devices | def register_subarray_devices():
"""Register subarray devices."""
tango_db = Database()
LOG.info("Registering Subarray devices:")
device_info = DbDevInfo()
# pylint: disable=protected-access
device_info._class = "SubarrayDevice"
device_info.server = "subarray_ds/1"
for index in range(16... | python | def register_subarray_devices():
"""Register subarray devices."""
tango_db = Database()
LOG.info("Registering Subarray devices:")
device_info = DbDevInfo()
# pylint: disable=protected-access
device_info._class = "SubarrayDevice"
device_info.server = "subarray_ds/1"
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SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/configuration_db/sip_config_db/utils/generate_sbi_config.py | add_workflow_definitions | def add_workflow_definitions(sbi_config: dict):
"""Add any missing SBI workflow definitions as placeholders.
This is a utility function used in testing and adds mock / test workflow
definitions to the database for workflows defined in the specified
SBI config.
Args:
sbi_config (dict): SBI ... | python | def add_workflow_definitions(sbi_config: dict):
"""Add any missing SBI workflow definitions as placeholders.
This is a utility function used in testing and adds mock / test workflow
definitions to the database for workflows defined in the specified
SBI config.
Args:
sbi_config (dict): SBI ... | [
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SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/configuration_db/sip_config_db/utils/generate_sbi_config.py | generate_version | def generate_version(max_major: int = 1, max_minor: int = 7,
max_patch: int = 15) -> str:
"""Select a random version.
Args:
max_major (int, optional) maximum major version
max_minor (int, optional) maximum minor version
max_patch (int, optional) maximum patch versio... | python | def generate_version(max_major: int = 1, max_minor: int = 7,
max_patch: int = 15) -> str:
"""Select a random version.
Args:
max_major (int, optional) maximum major version
max_minor (int, optional) maximum minor version
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SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/configuration_db/sip_config_db/utils/generate_sbi_config.py | generate_sb | def generate_sb(date: datetime.datetime, project: str,
programme_block: str) -> dict:
"""Generate a Scheduling Block data object.
Args:
date (datetime.datetime): UTC date of the SBI
project (str): Project Name
programme_block (str): Programme
Returns:
str, S... | python | def generate_sb(date: datetime.datetime, project: str,
programme_block: str) -> dict:
"""Generate a Scheduling Block data object.
Args:
date (datetime.datetime): UTC date of the SBI
project (str): Project Name
programme_block (str): Programme
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SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/configuration_db/sip_config_db/utils/generate_sbi_config.py | generate_pb_config | def generate_pb_config(pb_id: str,
pb_config: dict = None,
workflow_config: dict = None) -> dict:
"""Generate a PB configuration dictionary.
Args:
pb_id (str): Processing Block Id
pb_config (dict, optional) PB configuration.
workflow_config ... | python | def generate_pb_config(pb_id: str,
pb_config: dict = None,
workflow_config: dict = None) -> dict:
"""Generate a PB configuration dictionary.
Args:
pb_id (str): Processing Block Id
pb_config (dict, optional) PB configuration.
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SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/configuration_db/sip_config_db/utils/generate_sbi_config.py | generate_sbi_config | def generate_sbi_config(num_pbs: int = 3, project: str = 'sip',
programme_block: str = 'sip_demos',
pb_config: Union[dict, List[dict]] = None,
workflow_config:
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programme_block: str = 'sip_demos',
pb_config: Union[dict, List[dict]] = None,
workflow_config:
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SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/configuration_db/sip_config_db/utils/generate_sbi_config.py | generate_sbi_json | def generate_sbi_json(num_pbs: int = 3, project: str = 'sip',
programme_block: str = 'sip_demos',
pb_config: Union[dict, List[dict]] = None,
workflow_config:
Union[dict, List[dict]] = None,
register_workflows=T... | python | def generate_sbi_json(num_pbs: int = 3, project: str = 'sip',
programme_block: str = 'sip_demos',
pb_config: Union[dict, List[dict]] = None,
workflow_config:
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SKA-ScienceDataProcessor/integration-prototype | sip/tango_control/tango_logger/app/sdp_logger_device.py | SDPLoggerDevice.log | def log(self, argin):
"""Log a command for the SDP STango ubsystem devices."""
#
# Tango Manual Appendix 9 gives the format
# argin[0] = millisecond Unix timestamp
# argin[1] = log level
# argin[2] = the source log device name
# argin[3] = the log message
... | python | def log(self, argin):
"""Log a command for the SDP STango ubsystem devices."""
#
# Tango Manual Appendix 9 gives the format
# argin[0] = millisecond Unix timestamp
# argin[1] = log level
# argin[2] = the source log device name
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SKA-ScienceDataProcessor/integration-prototype | sip/examples/flask_processing_controller/app/api/scheduling_block.py | get | def get(block_id):
"""Scheduling block detail resource."""
try:
sbi_details = DB.get_block_details([block_id]).__next__()
sbi_details['processing_blocks'] = []
pb_ids = sbi_details['processing_block_ids']
for pb_details in DB.get_block_details(pb_ids):
sbi_details['pr... | python | def get(block_id):
"""Scheduling block detail resource."""
try:
sbi_details = DB.get_block_details([block_id]).__next__()
sbi_details['processing_blocks'] = []
pb_ids = sbi_details['processing_block_ids']
for pb_details in DB.get_block_details(pb_ids):
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SKA-ScienceDataProcessor/integration-prototype | sip/examples/flask_processing_controller/app/api/scheduling_block.py | delete | def delete(block_id):
"""Scheduling block detail resource."""
_url = get_root_url()
LOG.debug('Requested delete of SBI %s', block_id)
try:
DB.delete_sched_block_instance(block_id)
response = dict(message='Deleted block: _id = {}'.format(block_id))
response['_links'] = {
... | python | def delete(block_id):
"""Scheduling block detail resource."""
_url = get_root_url()
LOG.debug('Requested delete of SBI %s', block_id)
try:
DB.delete_sched_block_instance(block_id)
response = dict(message='Deleted block: _id = {}'.format(block_id))
response['_links'] = {
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SKA-ScienceDataProcessor/integration-prototype | sip/examples/flask_processing_controller/app/old.db/init.py | _scheduling_block_ids | def _scheduling_block_ids(num_blocks, start_id, project):
"""Generate Scheduling Block instance ID"""
for i in range(num_blocks):
_root = '{}-{}'.format(strftime("%Y%m%d", gmtime()), project)
yield '{}-sb{:03d}'.format(_root, i + start_id), \
'{}-sbi{:03d}'.format(_root, i + start_... | python | def _scheduling_block_ids(num_blocks, start_id, project):
"""Generate Scheduling Block instance ID"""
for i in range(num_blocks):
_root = '{}-{}'.format(strftime("%Y%m%d", gmtime()), project)
yield '{}-sb{:03d}'.format(_root, i + start_id), \
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SKA-ScienceDataProcessor/integration-prototype | sip/examples/flask_processing_controller/app/old.db/init.py | _generate_processing_blocks | def _generate_processing_blocks(start_id, min_blocks=0, max_blocks=4):
"""Generate a number of Processing Blocks"""
processing_blocks = []
num_blocks = random.randint(min_blocks, max_blocks)
for i in range(start_id, start_id + num_blocks):
_id = 'sip-pb{:03d}'.format(i)
block = dict(id=_... | python | def _generate_processing_blocks(start_id, min_blocks=0, max_blocks=4):
"""Generate a number of Processing Blocks"""
processing_blocks = []
num_blocks = random.randint(min_blocks, max_blocks)
for i in range(start_id, start_id + num_blocks):
_id = 'sip-pb{:03d}'.format(i)
block = dict(id=_... | [
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SKA-ScienceDataProcessor/integration-prototype | sip/examples/flask_processing_controller/app/old.db/init.py | _scheduling_block_config | def _scheduling_block_config(num_blocks=5, start_sbi_id=0, start_pb_id=0,
project='sip'):
"""Return a Scheduling Block Configuration dictionary"""
pb_id = start_pb_id
for sb_id, sbi_id in _scheduling_block_ids(num_blocks, start_sbi_id,
... | python | def _scheduling_block_config(num_blocks=5, start_sbi_id=0, start_pb_id=0,
project='sip'):
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pb_id = start_pb_id
for sb_id, sbi_id in _scheduling_block_ids(num_blocks, start_sbi_id,
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SKA-ScienceDataProcessor/integration-prototype | sip/examples/flask_processing_controller/app/old.db/init.py | add_scheduling_blocks | def add_scheduling_blocks(num_blocks, clear=True):
"""Add a number of scheduling blocks to the db."""
db_client = ConfigDb()
if clear:
LOG.info('Resetting database ...')
db_client.clear()
start_sbi_id = 0
start_pb_id = 0
else:
start_sbi_id = len(db_client.get_sche... | python | def add_scheduling_blocks(num_blocks, clear=True):
"""Add a number of scheduling blocks to the db."""
db_client = ConfigDb()
if clear:
LOG.info('Resetting database ...')
db_client.clear()
start_sbi_id = 0
start_pb_id = 0
else:
start_sbi_id = len(db_client.get_sche... | [
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SKA-ScienceDataProcessor/integration-prototype | sip/examples/flask_processing_controller/app/old.db/init.py | main | def main():
"""Main function"""
# Configure the logger
log = logging.getLogger('SIP.EC.PCI.DB')
handler = logging.StreamHandler()
handler.setFormatter(logging.Formatter(
'%(name)-20s | %(filename)-15s | %(levelname)-5s | %(message)s'))
log.addHandler(handler)
log.setLevel(os.getenv('... | python | def main():
"""Main function"""
# Configure the logger
log = logging.getLogger('SIP.EC.PCI.DB')
handler = logging.StreamHandler()
handler.setFormatter(logging.Formatter(
'%(name)-20s | %(filename)-15s | %(levelname)-5s | %(message)s'))
log.addHandler(handler)
log.setLevel(os.getenv('... | [
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SKA-ScienceDataProcessor/integration-prototype | sip/tango_control/tango_processing_block/app/processing_block_ds.py | main | def main(args=None, **kwargs):
"""Start the Processing Block device server."""
LOG.info('Starting SDP PB devices.')
return run([ProcessingBlockDevice], verbose=True, msg_stream=sys.stdout,
args=args, **kwargs) | python | def main(args=None, **kwargs):
"""Start the Processing Block device server."""
LOG.info('Starting SDP PB devices.')
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SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/configuration_db/sip_config_db/scheduling/processing_block.py | ProcessingBlock.get_id | def get_id(date: datetime.datetime) -> str:
"""Generate a Processing Block (PB) Instance ID.
Args:
date (datetime.datetime): UTC date of the PB
Returns:
str, Processing Block ID
"""
date = date.strftime('%Y%m%d')
return 'PB-{}-{}-{:03d}'.format(... | python | def get_id(date: datetime.datetime) -> str:
"""Generate a Processing Block (PB) Instance ID.
Args:
date (datetime.datetime): UTC date of the PB
Returns:
str, Processing Block ID
"""
date = date.strftime('%Y%m%d')
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SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/configuration_db/sip_config_db/scheduling/processing_block.py | ProcessingBlock.dependencies | def dependencies(self) -> List[Dependency]:
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dependencies_str = DB.get_hash_value(self.key, 'dependencies')
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dependencies.append(Dependency(dependency))
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SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/configuration_db/sip_config_db/scheduling/processing_block.py | ProcessingBlock.resources_assigned | def resources_assigned(self) -> List[Resource]:
"""Return list of resources assigned to the PB."""
resources_str = DB.get_hash_value(self.key, 'resources_assigned')
resources_assigned = []
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resources_assigned.append(Resource(res... | python | def resources_assigned(self) -> List[Resource]:
"""Return list of resources assigned to the PB."""
resources_str = DB.get_hash_value(self.key, 'resources_assigned')
resources_assigned = []
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SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/configuration_db/sip_config_db/scheduling/processing_block.py | ProcessingBlock.workflow_stages | def workflow_stages(self) -> List[WorkflowStage]:
"""Return list of workflow stages.
Returns:
dict, resources of a specified pb
"""
workflow_stages = []
stages = DB.get_hash_value(self.key, 'workflow_stages')
for index in range(len(ast.literal_eval(stages)))... | python | def workflow_stages(self) -> List[WorkflowStage]:
"""Return list of workflow stages.
Returns:
dict, resources of a specified pb
"""
workflow_stages = []
stages = DB.get_hash_value(self.key, 'workflow_stages')
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SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/configuration_db/sip_config_db/scheduling/processing_block.py | ProcessingBlock.add_assigned_resource | def add_assigned_resource(self, resource_type: str,
value: Union[str, int, float, bool],
parameters: dict = None):
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Args:
resource_type (str): Resource type
value: Resour... | python | def add_assigned_resource(self, resource_type: str,
value: Union[str, int, float, bool],
parameters: dict = None):
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Args:
resource_type (str): Resource type
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SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/configuration_db/sip_config_db/scheduling/processing_block.py | ProcessingBlock.remove_assigned_resource | def remove_assigned_resource(self, resource_type: str,
value: Union[str, int, float, bool] = None,
parameters: dict = None):
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All matching resources will be removed. If only type is ... | python | def remove_assigned_resource(self, resource_type: str,
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SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/configuration_db/sip_config_db/scheduling/processing_block.py | ProcessingBlock.abort | def abort(self):
"""Abort the processing_block."""
LOG.debug('Aborting PB %s', self._id)
self.set_status('aborted')
pb_type = DB.get_hash_value(self.key, 'type')
key = '{}:active'.format(self._type)
DB.remove_from_list(key, self._id)
key = '{}:active:{}'.format(se... | python | def abort(self):
"""Abort the processing_block."""
LOG.debug('Aborting PB %s', self._id)
self.set_status('aborted')
pb_type = DB.get_hash_value(self.key, 'type')
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SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/configuration_db/sip_config_db/scheduling/processing_block.py | ProcessingBlock._mark_updated | def _mark_updated(self):
"""Update the updated timestamp."""
timestamp = datetime.datetime.utcnow().isoformat()
DB.set_hash_value(self.key, 'updated', timestamp) | python | def _mark_updated(self):
"""Update the updated timestamp."""
timestamp = datetime.datetime.utcnow().isoformat()
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SKA-ScienceDataProcessor/integration-prototype | sip/examples/flask_processing_controller/app/api/subarray_list.py | get | def get():
"""Subarray list.
This method will list all sub-arrays known to SDP.
"""
_url = get_root_url()
LOG.debug('GET Sub array list')
sub_array_ids = sorted(DB.get_sub_array_ids())
response = dict(sub_arrays=[])
for array_id in sub_array_ids:
array_summary = dict(sub_arrar... | python | def get():
"""Subarray list.
This method will list all sub-arrays known to SDP.
"""
_url = get_root_url()
LOG.debug('GET Sub array list')
sub_array_ids = sorted(DB.get_sub_array_ids())
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SKA-ScienceDataProcessor/integration-prototype | sip/examples/flask_processing_controller/app/api/subarray_list.py | post | def post():
"""Generate a SBI."""
_url = get_root_url()
LOG.debug("POST subarray SBI.")
# TODO(BM) generate sbi_config .. see report ...
# ... will need to add this as a util function on the db...
sbi_config = {}
DB.add_sbi(sbi_config)
response = dict()
return response, status.HTT... | python | def post():
"""Generate a SBI."""
_url = get_root_url()
LOG.debug("POST subarray SBI.")
# TODO(BM) generate sbi_config .. see report ...
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SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/configuration_db/sip_config_db/scheduling/subarray.py | Subarray.set_parameters | def set_parameters(self, parameters_dict):
"""Set the subarray parameters.
Args:
parameters_dict (dict): Dictionary of Subarray parameters
"""
DB.set_hash_value(self._key, 'parameters', parameters_dict)
self.publish("parameters_updated") | python | def set_parameters(self, parameters_dict):
"""Set the subarray parameters.
Args:
parameters_dict (dict): Dictionary of Subarray parameters
"""
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SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/configuration_db/sip_config_db/scheduling/subarray.py | Subarray.sbi_ids | def sbi_ids(self) -> List[str]:
"""Get the list of SBI Ids.
Returns:
list, list of SBI ids associated with this subarray.
"""
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"""Get the list of SBI Ids.
Returns:
list, list of SBI ids associated with this subarray.
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SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/configuration_db/sip_config_db/scheduling/subarray.py | Subarray.configure_sbi | def configure_sbi(self, sbi_config: dict, schema_path: str = None):
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Args:
sbi_config (dict): SBI configuration.
schema_path (str, optional): Path to the SBI config schema.
"""
if not self.active:
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sbi_config (dict): SBI configuration.
schema_path (str, optional): Path to the SBI config schema.
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SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/configuration_db/sip_config_db/scheduling/subarray.py | Subarray.abort | def abort(self):
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SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/configuration_db/sip_config_db/scheduling/subarray.py | Subarray.deactivate | def deactivate(self):
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"""Deactivate the subarray."""
DB.set_hash_value(self._key, 'active', 'False')
# Remove the subarray from each of the SBIs
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SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/configuration_db/sip_config_db/scheduling/subarray.py | Subarray.remove_sbi_id | def remove_sbi_id(self, sbi_id):
"""Remove an SBI Identifier."""
sbi_ids = self.sbi_ids
sbi_ids.remove(sbi_id)
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"""Remove an SBI Identifier."""
sbi_ids = self.sbi_ids
sbi_ids.remove(sbi_id)
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SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/configuration_db/sip_config_db/scheduling/subarray.py | Subarray._add_sbi_id | def _add_sbi_id(self, sbi_id):
"""Add a SBI Identifier."""
sbi_ids = self.sbi_ids
sbi_ids.append(sbi_id)
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"""Add a SBI Identifier."""
sbi_ids = self.sbi_ids
sbi_ids.append(sbi_id)
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SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/configuration_db/sip_config_db/_events/event_queue.py | EventQueue.get | def get(self) -> Union[Event, None]:
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Call this method to query the queue for the latest event.
If no event has been published None is returned.
Returns:
Event or None
"""
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"""Get the latest event from the queue.
Call this method to query the queue for the latest event.
If no event has been published None is returned.
Returns:
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SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/configuration_db/sip_config_db/_events/event_queue.py | EventQueue.get_processed_events | def get_processed_events(self) -> List[Event]:
"""Get all processed events.
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processed state which could happen if an event handling processing
an processed event goes down before completing the event processing.
... | python | def get_processed_events(self) -> List[Event]:
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This method is intended to be used to recover events stuck in the
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SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/configuration_db/sip_config_db/_events/event_queue.py | EventQueue.complete_event | def complete_event(self, event_id: str):
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event_ids = DB.get_list(self._processed_key)
if event_id not in event_ids:
raise KeyError('Unable to complete event. Event {} has not been '
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"""Complete the specified event."""
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SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/configuration_db/sip_config_db/scheduling/workflow_definitions.py | add | def add(workflow_definition: dict, templates_root: str):
"""Add a workflow definition to the Configuration Database.
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structure:
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|- workflow_version
|- stage_id
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SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/configuration_db/sip_config_db/scheduling/workflow_definitions.py | register | def register(workflow_id, workflow_version):
"""Register an (empty) workflow definition in the database."""
name = "workflow_definitions:{}:{}".format(workflow_id, workflow_version)
workflow_definition = dict(id=workflow_id, version=workflow_version,
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# DB.set_ha... | python | def register(workflow_id, workflow_version):
"""Register an (empty) workflow definition in the database."""
name = "workflow_definitions:{}:{}".format(workflow_id, workflow_version)
workflow_definition = dict(id=workflow_id, version=workflow_version,
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SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/configuration_db/sip_config_db/scheduling/workflow_definitions.py | delete | def delete(workflow_id: str = None, workflow_version: str = None):
"""Delete workflow definitions.
Args:
workflow_id (str, optional): Optional workflow identifier
workflow_version (str, optional): Optional workflow identifier version
If workflow_id and workflow_version are None, delete all... | python | def delete(workflow_id: str = None, workflow_version: str = None):
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Args:
workflow_id (str, optional): Optional workflow identifier
workflow_version (str, optional): Optional workflow identifier version
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SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/configuration_db/sip_config_db/scheduling/workflow_definitions.py | get_workflow | def get_workflow(workflow_id: str, workflow_version: str) -> dict:
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Args:
workflow_id (str): Workflow identifier
workflow_version (str): Workflow version
Returns:
dict, Workflow definition dictionary
"""
name = "... | python | def get_workflow(workflow_id: str, workflow_version: str) -> dict:
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Args:
workflow_id (str): Workflow identifier
workflow_version (str): Workflow version
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SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/configuration_db/sip_config_db/scheduling/workflow_definitions.py | get_workflows | def get_workflows() -> dict:
"""Get dict of ALL known workflow definitions.
Returns
list[dict]
"""
keys = DB.get_keys("workflow_definitions:*")
known_workflows = dict()
for key in keys:
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known_workf... | python | def get_workflows() -> dict:
"""Get dict of ALL known workflow definitions.
Returns
list[dict]
"""
keys = DB.get_keys("workflow_definitions:*")
known_workflows = dict()
for key in keys:
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SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/configuration_db/sip_config_db/scheduling/workflow_definitions.py | _load_templates | def _load_templates(workflow: dict, templates_root: str):
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workflow_template_path = join(templates_root, workflow['id'],
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SKA-ScienceDataProcessor/integration-prototype | sip/tango_control/tango_processing_block/app/delete_devices.py | delete_pb_devices | def delete_pb_devices():
"""Delete PBs devices from the Tango database."""
parser = argparse.ArgumentParser(description='Register PB devices.')
parser.add_argument('num_pb', type=int,
help='Number of PBs devices to register.')
args = parser.parse_args()
log = logging.getLogg... | python | def delete_pb_devices():
"""Delete PBs devices from the Tango database."""
parser = argparse.ArgumentParser(description='Register PB devices.')
parser.add_argument('num_pb', type=int,
help='Number of PBs devices to register.')
args = parser.parse_args()
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SKA-ScienceDataProcessor/integration-prototype | sip/science_pipeline_workflows/ingest_visibilities/send/async_send.py | main | def main():
"""Main function for SPEAD sender module."""
# Check command line arguments.
if len(sys.argv) != 2:
raise RuntimeError('Usage: python3 async_send.py <json config>')
# Set up logging.
sip_logging.init_logger(show_thread=False)
# Load SPEAD configuration from JSON file.
#... | python | def main():
"""Main function for SPEAD sender module."""
# Check command line arguments.
if len(sys.argv) != 2:
raise RuntimeError('Usage: python3 async_send.py <json config>')
# Set up logging.
sip_logging.init_logger(show_thread=False)
# Load SPEAD configuration from JSON file.
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SKA-ScienceDataProcessor/integration-prototype | sip/science_pipeline_workflows/ingest_visibilities/send/async_send.py | SpeadSender.fill_buffer | def fill_buffer(heap_data, i_chan):
"""Blocking function to populate data in the heap.
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"""
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now = datetime.datetime.utcnow()
time_full = now.timestamp()
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SKA-ScienceDataProcessor/integration-prototype | sip/science_pipeline_workflows/ingest_visibilities/send/async_send.py | SpeadSender._run_loop | async def _run_loop(self, executor):
"""Main loop."""
# SPEAD heap descriptor.
# One channel per stream and one time index per heap.
max_duration_sec = self._config['max_duration_sec']
num_stations = self._config['heap']['num_stations']
num_pols = self._config['heap']['nu... | python | async def _run_loop(self, executor):
"""Main loop."""
# SPEAD heap descriptor.
# One channel per stream and one time index per heap.
max_duration_sec = self._config['max_duration_sec']
num_stations = self._config['heap']['num_stations']
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SKA-ScienceDataProcessor/integration-prototype | sip/science_pipeline_workflows/ingest_visibilities/send/async_send.py | SpeadSender.run | def run(self):
"""Starts the sender."""
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executor = concurrent.futures.ThreadPoolExecutor(
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# Wait to ensure multiple senders can be synchronised.
now = int(datetime.datetime.utcnow().timestamp())
... | python | def run(self):
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# Create the thread pool.
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SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/configuration_db/sip_config_db/scheduling/_scheduling_object_list.py | SchedulingObjectList.set_complete | def set_complete(self, object_id: str):
"""Mark the specified object as completed."""
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"""Mark the specified object as completed."""
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SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/configuration_db/sip_config_db/scheduling/_scheduling_object_list.py | SchedulingObjectList.publish | def publish(self, object_id: str, event_type: str,
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object_id (str): ID of the scheduling object
event_type (str): Type of event.
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SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/processing_block_controller/sip_pbc/tasks.py | _start_workflow_stages | def _start_workflow_stages(pb: ProcessingBlock, pb_id: str,
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SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/processing_block_controller/sip_pbc/tasks.py | _abort_workflow | def _abort_workflow(pb: ProcessingBlock, workflow_stage_dict: dict,
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TODO(BMo): This function currently does nothing as the abort flag
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docker: DockerSwarmClient):
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SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/processing_block_controller/sip_pbc/tasks.py | execute_processing_block | def execute_processing_block(pb_id: str, log_level='DEBUG'):
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pb_id (str): The PB id for the PBC
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SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/processing_controller/scheduler/pb_queue.py | ProcessingBlockQueue.put | def put(self, block_id, priority, pb_type='offline'):
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SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/processing_controller/scheduler/pb_queue.py | ProcessingBlockQueue.remove | def remove(self, block_id):
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block_id (str):
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block_id (str):
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SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/configuration_db/sip_config_db/states/services.py | get_service_state_list | def get_service_state_list() -> List[ServiceState]:
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SKA-ScienceDataProcessor/integration-prototype | sip/examples/flask_processing_controller/app/api/processing_block_list.py | get | def get():
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SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/configuration_db/sip_config_db/scheduling/_scheduling_object.py | SchedulingObject.config | def config(self) -> dict:
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SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/configuration_db/sip_config_db/scheduling/_scheduling_object.py | SchedulingObject.set_status | def set_status(self, value):
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Note:
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Args:
compose_str (string): Docker compose 'file' string
Return:
service_names, list
"""
# Raise an exception if we are not a manager
if not self._manager:
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Args:
compose_str (string): Docker compose 'file' string
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SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/docker_api/sip_docker_swarm/docker_swarm_client.py | DockerSwarmClient.create_volume | def create_volume(self, volume_name: str, driver_spec: str = None):
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Only the manager nodes can create a volume
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volume_name (string): Name for the new docker volume
driver_spec (string): Driver for the docker volume
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service (string): Service name or ID
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service (string): Service name or ID
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volume_name (string): Name of the volume
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Args:
service_id (string): List of service ID
Returns:
string, name of the docker service
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service_id (string): List of service ID
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service_id (string): List of service id
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dict, details of the service
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SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/docker_api/sip_docker_swarm/docker_swarm_client.py | DockerSwarmClient.get_service_state | def get_service_state(self, service_id: str) -> str:
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service_id (str): Service id
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str, state of the service
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SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/docker_api/sip_docker_swarm/docker_swarm_client.py | DockerSwarmClient.get_container_list | def get_container_list(self) -> list:
"""Get list of containers.
Returns:
list, all the ids of containers
"""
# Initialising empty list
containers = []
containers_list = self._client.containers.list()
for c_list in containers_list:
conta... | python | def get_container_list(self) -> list:
"""Get list of containers.
Returns:
list, all the ids of containers
"""
# Initialising empty list
containers = []
containers_list = self._client.containers.list()
for c_list in containers_list:
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SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/docker_api/sip_docker_swarm/docker_swarm_client.py | DockerSwarmClient.get_container_details | def get_container_details(self, container_id_or_name: str) -> dict:
"""Get details of a container.
Args:
container_id_or_name (string): docker container id or name
Returns:
dict, details of the container
"""
container = self._client.containers.get(conta... | python | def get_container_details(self, container_id_or_name: str) -> dict:
"""Get details of a container.
Args:
container_id_or_name (string): docker container id or name
Returns:
dict, details of the container
"""
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SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/docker_api/sip_docker_swarm/docker_swarm_client.py | DockerSwarmClient.get_volume_list | def get_volume_list(self) -> list:
"""Get a list of docker volumes.
Only the manager nodes can retrieve all the volumes
Returns:
list, all the names of the volumes in swarm
"""
# Initialising empty list
volumes = []
# Raise an exception if we are n... | python | def get_volume_list(self) -> list:
"""Get a list of docker volumes.
Only the manager nodes can retrieve all the volumes
Returns:
list, all the names of the volumes in swarm
"""
# Initialising empty list
volumes = []
# Raise an exception if we are n... | [
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SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/docker_api/sip_docker_swarm/docker_swarm_client.py | DockerSwarmClient.get_volume_details | def get_volume_details(self, volume_name: str) -> dict:
"""Get details of the volume.
Args:
volume_name (str): Name of the volume
Returns:
dict, details of the volume
"""
if volume_name not in self.volumes:
raise RuntimeError('No such volume... | python | def get_volume_details(self, volume_name: str) -> dict:
"""Get details of the volume.
Args:
volume_name (str): Name of the volume
Returns:
dict, details of the volume
"""
if volume_name not in self.volumes:
raise RuntimeError('No such volume... | [
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SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/docker_api/sip_docker_swarm/docker_swarm_client.py | DockerSwarmClient.get_actual_replica | def get_actual_replica(self, service_id: str) -> str:
"""Get the actual replica level of a service.
Args:
service_id (str): docker swarm service id
Returns:
str, replicated level of the service
"""
# Raise an exception if we are not a manager
if... | python | def get_actual_replica(self, service_id: str) -> str:
"""Get the actual replica level of a service.
Args:
service_id (str): docker swarm service id
Returns:
str, replicated level of the service
"""
# Raise an exception if we are not a manager
if... | [
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