repository_name stringlengths 5 67 | func_path_in_repository stringlengths 4 234 | func_name stringlengths 0 314 | whole_func_string stringlengths 52 3.87M | language stringclasses 6
values | func_code_string stringlengths 52 3.87M | func_documentation_string stringlengths 1 47.2k | func_code_url stringlengths 85 339 |
|---|---|---|---|---|---|---|---|
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:
sb... | Return list of PBs associated with the subarray.
<http://www.esrf.eu/computing/cs/tango/pytango/v920/server_api/server.html#PyTango.server.pipe> | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/tango_control/tango_subarray/app/subarray_device.py#L80-L90 |
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') | Return a datetime object from an isoformat string.
Args:
value (str): Datetime string in isoformat. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/configuration_db/sip_config_db/utils/datetime_utils.py#L7-L17 |
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()) | Device constructor. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/tango_control/tango_master/app/sdp_master_device.py#L35-L43 |
SKA-ScienceDataProcessor/integration-prototype | sip/tango_control/tango_master/app/sdp_master_device.py | SDPMasterDevice.always_executed_hook | def always_executed_hook(self):
"""Run for each command."""
_logT = self._devProxy.get_logging_target()
if 'device::sip_sdp_logger' not in _logT:
try:
self._devProxy.add_logging_target('device::sip_sdp/elt/logger')
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:
try:
self._devProxy.add_logging_target('device::sip_sdp/elt/logger')
self.info_stream("Test of Tango loggi... | Run for each command. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/tango_control/tango_master/app/sdp_master_device.py#L47-L57 |
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 '
'\'on\'.')
# Check tha... | Schedule an offline only SBI with SDP. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/tango_control/tango_master/app/sdp_master_device.py#L69-L115 |
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... | Get the Service state object for the specified id. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/tango_control/tango_master/app/sdp_master_device.py#L118-L126 |
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 | Get the state of a SDP service. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/tango_control/tango_master/app/sdp_master_device.py#L130-L133 |
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 | Get the state of a SDP service. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/tango_control/tango_master/app/sdp_master_device.py#L137-L140 |
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... | Return a list of allowed target states for the current state. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/tango_control/tango_master/app/sdp_master_device.py#L168-L174 |
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':
self.set_state(Dev... | Update the target state of SDP. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/tango_control/tango_master/app/sdp_master_device.py#L177-L190 |
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)))) | Health check method, returns the up-time of the device. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/tango_control/tango_master/app/sdp_master_device.py#L194-L197 |
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,
... | Return the a JSON dict encoding the SBIs known to SDP. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/tango_control/tango_master/app/sdp_master_device.py#L210-L216 |
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,
... | Return the a JSON dict encoding the PBs known to SDP. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/tango_control/tango_master/app/sdp_master_device.py#L219-L225 |
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... | Get list of processing block devices. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/tango_control/tango_master/app/sdp_master_device.py#L228-L245 |
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)
elif state == 'on':
self.set_state(DevState.ON)
self._service_... | Set the state of the SDPMaster. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/tango_control/tango_master/app/sdp_master_device.py#L247-L255 |
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"
for index in range(16... | Register subarray devices. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/tango_control/tango_subarray/app/register_devices.py#L9-L23 |
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 ... | 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 configuration dictionary. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/configuration_db/sip_config_db/utils/generate_sbi_config.py#L33-L59 |
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
max_patch (int, optional) maximum patch versio... | 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 version
Returns:
str, Version String | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/configuration_db/sip_config_db/utils/generate_sbi_config.py#L62-L78 |
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
Returns:
str, S... | 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, Scheduling Block Instance (SBI) ID. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/configuration_db/sip_config_db/utils/generate_sbi_config.py#L81-L97 |
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.
workflow_config ... | Generate a PB configuration dictionary.
Args:
pb_id (str): Processing Block Id
pb_config (dict, optional) PB configuration.
workflow_config (dict, optional): Workflow configuration
Returns:
dict, PB configuration dictionary. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/configuration_db/sip_config_db/utils/generate_sbi_config.py#L100-L140 |
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:
Union[dict, List[dict]] = None,
register... | python | 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:
Union[dict, List[dict]] = None,
register... | Generate a SBI configuration dictionary.
Args:
num_pbs (int, optional): Number of Processing Blocks (default = 3)
project (str, optional): Project to associate the SBI with.
programme_block (str, optional): SBI programme block
pb_config (dict, List[dict], optional): PB configuration... | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/configuration_db/sip_config_db/utils/generate_sbi_config.py#L143-L189 |
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:
Union[dict, List[dict]] = None,
register_workflows=T... | Return a JSON string used to configure an SBI. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/configuration_db/sip_config_db/utils/generate_sbi_config.py#L192-L201 |
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
# argin[3] = the log message
... | Log a command for the SDP STango ubsystem devices. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/tango_control/tango_logger/app/sdp_logger_device.py#L41-L56 |
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):
sbi_details['pr... | Scheduling block detail resource. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/examples/flask_processing_controller/app/api/scheduling_block.py#L18-L37 |
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'] = {
... | Scheduling block detail resource. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/examples/flask_processing_controller/app/api/scheduling_block.py#L42-L54 |
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), \
'{}-sbi{:03d}'.format(_root, i + start_... | Generate Scheduling Block instance ID | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/examples/flask_processing_controller/app/old.db/init.py#L22-L27 |
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=_... | Generate a number of Processing Blocks | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/examples/flask_processing_controller/app/old.db/init.py#L30-L38 |
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'):
"""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,
... | Return a Scheduling Block Configuration dictionary | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/examples/flask_processing_controller/app/old.db/init.py#L41-L53 |
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... | Add a number of scheduling blocks to the db. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/examples/flask_processing_controller/app/old.db/init.py#L56-L73 |
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('... | Main function | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/examples/flask_processing_controller/app/old.db/init.py#L76-L88 |
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.')
return run([ProcessingBlockDevice], verbose=True, msg_stream=sys.stdout,
args=args, **kwargs) | Start the Processing Block device server. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/tango_control/tango_processing_block/app/processing_block_ds.py#L14-L18 |
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')
return 'PB-{}-{}-{:03d}'.format(... | Generate a Processing Block (PB) Instance ID.
Args:
date (datetime.datetime): UTC date of the PB
Returns:
str, Processing Block ID | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/configuration_db/sip_config_db/scheduling/processing_block.py#L36-L47 |
SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/configuration_db/sip_config_db/scheduling/processing_block.py | ProcessingBlock.dependencies | def dependencies(self) -> List[Dependency]:
"""Return the PB dependencies."""
dependencies_str = DB.get_hash_value(self.key, 'dependencies')
dependencies = []
for dependency in ast.literal_eval(dependencies_str):
dependencies.append(Dependency(dependency))
return depe... | python | def dependencies(self) -> List[Dependency]:
"""Return the PB dependencies."""
dependencies_str = DB.get_hash_value(self.key, 'dependencies')
dependencies = []
for dependency in ast.literal_eval(dependencies_str):
dependencies.append(Dependency(dependency))
return depe... | Return the PB dependencies. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/configuration_db/sip_config_db/scheduling/processing_block.py#L89-L95 |
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 = []
for resource in ast.literal_eval(resources_str):
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 = []
for resource in ast.literal_eval(resources_str):
resources_assigned.append(Resource(res... | Return list of resources assigned to the PB. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/configuration_db/sip_config_db/scheduling/processing_block.py#L98-L104 |
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')
for index in range(len(ast.literal_eval(stages)))... | Return list of workflow stages.
Returns:
dict, resources of a specified pb | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/configuration_db/sip_config_db/scheduling/processing_block.py#L135-L146 |
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):
"""Add assigned resource to the processing block.
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):
"""Add assigned resource to the processing block.
Args:
resource_type (str): Resource type
value: Resour... | Add assigned resource to the processing block.
Args:
resource_type (str): Resource type
value: Resource value
parameters (dict, optional): Parameters specific to the resource | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/configuration_db/sip_config_db/scheduling/processing_block.py#L152-L169 |
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):
"""Remove assigned resources from the processing block.
All matching resources will be removed. If only type is ... | python | def remove_assigned_resource(self, resource_type: str,
value: Union[str, int, float, bool] = None,
parameters: dict = None):
"""Remove assigned resources from the processing block.
All matching resources will be removed. If only type is ... | Remove assigned resources from the processing block.
All matching resources will be removed. If only type is specified
all resources of the specified type will be removed.
If value and/or parameters are specified they will be used
for matching the resource to remove.
Args:
... | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/configuration_db/sip_config_db/scheduling/processing_block.py#L175-L202 |
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')
key = '{}:active'.format(self._type)
DB.remove_from_list(key, self._id)
key = '{}:active:{}'.format(se... | Abort the processing_block. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/configuration_db/sip_config_db/scheduling/processing_block.py#L204-L217 |
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()
DB.set_hash_value(self.key, 'updated', timestamp) | Update the updated timestamp. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/configuration_db/sip_config_db/scheduling/processing_block.py#L223-L226 |
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())
response = dict(sub_arrays=[])
for array_id in sub_array_ids:
array_summary = dict(sub_arrar... | Subarray list.
This method will list all sub-arrays known to SDP. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/examples/flask_processing_controller/app/api/subarray_list.py#L18-L40 |
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 ...
# ... 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... | Generate a SBI. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/examples/flask_processing_controller/app/api/subarray_list.py#L45-L57 |
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
"""
DB.set_hash_value(self._key, 'parameters', parameters_dict)
self.publish("parameters_updated") | Set the subarray parameters.
Args:
parameters_dict (dict): Dictionary of Subarray parameters | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/configuration_db/sip_config_db/scheduling/subarray.py#L84-L91 |
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.
"""
return ast.literal_eval(DB.get_hash_value(self._key, 'sbi_ids')) | python | def sbi_ids(self) -> List[str]:
"""Get the list of SBI Ids.
Returns:
list, list of SBI ids associated with this subarray.
"""
return ast.literal_eval(DB.get_hash_value(self._key, 'sbi_ids')) | Get the list of SBI Ids.
Returns:
list, list of SBI ids associated with this subarray. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/configuration_db/sip_config_db/scheduling/subarray.py#L94-L101 |
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):
"""Add a new SBI to the database associated with this subarray.
Args:
sbi_config (dict): SBI configuration.
schema_path (str, optional): Path to the SBI config schema.
"""
if not self.active:
... | python | def configure_sbi(self, sbi_config: dict, schema_path: str = None):
"""Add a new SBI to the database associated with this subarray.
Args:
sbi_config (dict): SBI configuration.
schema_path (str, optional): Path to the SBI config schema.
"""
if not self.active:
... | Add a new SBI to the database associated with this subarray.
Args:
sbi_config (dict): SBI configuration.
schema_path (str, optional): Path to the SBI config schema. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/configuration_db/sip_config_db/scheduling/subarray.py#L107-L120 |
SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/configuration_db/sip_config_db/scheduling/subarray.py | Subarray.abort | def abort(self):
"""Abort all SBIs associated with the subarray."""
for sbi_id in self.sbi_ids:
sbi = SchedulingBlockInstance(sbi_id)
sbi.abort()
self.set_state('ABORTED') | python | def abort(self):
"""Abort all SBIs associated with the subarray."""
for sbi_id in self.sbi_ids:
sbi = SchedulingBlockInstance(sbi_id)
sbi.abort()
self.set_state('ABORTED') | Abort all SBIs associated with the subarray. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/configuration_db/sip_config_db/scheduling/subarray.py#L122-L127 |
SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/configuration_db/sip_config_db/scheduling/subarray.py | Subarray.deactivate | def deactivate(self):
"""Deactivate the subarray."""
DB.set_hash_value(self._key, 'active', 'False')
# Remove the subarray from each of the SBIs
for sbi_id in self.sbi_ids:
SchedulingBlockInstance(sbi_id).clear_subarray()
DB.set_hash_value(self._key, 'sbi_ids', [])
... | python | def deactivate(self):
"""Deactivate the subarray."""
DB.set_hash_value(self._key, 'active', 'False')
# Remove the subarray from each of the SBIs
for sbi_id in self.sbi_ids:
SchedulingBlockInstance(sbi_id).clear_subarray()
DB.set_hash_value(self._key, 'sbi_ids', [])
... | Deactivate the subarray. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/configuration_db/sip_config_db/scheduling/subarray.py#L138-L145 |
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)
DB.set_hash_value(self._key, 'sbi_ids', sbi_ids) | python | def remove_sbi_id(self, sbi_id):
"""Remove an SBI Identifier."""
sbi_ids = self.sbi_ids
sbi_ids.remove(sbi_id)
DB.set_hash_value(self._key, 'sbi_ids', sbi_ids) | Remove an SBI Identifier. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/configuration_db/sip_config_db/scheduling/subarray.py#L147-L151 |
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)
DB.set_hash_value(self._key, 'sbi_ids', sbi_ids) | python | def _add_sbi_id(self, sbi_id):
"""Add a SBI Identifier."""
sbi_ids = self.sbi_ids
sbi_ids.append(sbi_id)
DB.set_hash_value(self._key, 'sbi_ids', sbi_ids) | Add a SBI Identifier. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/configuration_db/sip_config_db/scheduling/subarray.py#L173-L177 |
SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/configuration_db/sip_config_db/_events/event_queue.py | EventQueue.get | def get(self) -> Union[Event, None]:
"""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:
Event or None
"""
message = self._queue.get_message()
... | python | def get(self) -> Union[Event, None]:
"""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:
Event or None
"""
message = self._queue.get_message()
... | 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:
Event or None | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/configuration_db/sip_config_db/_events/event_queue.py#L47-L66 |
SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/configuration_db/sip_config_db/_events/event_queue.py | EventQueue.get_published_events | def get_published_events(self, process=True) -> List[Event]:
"""Get a list of published (pending) events.
Return a list of Event objects which have been published
and are therefore pending to be processed. If the process argument
is set to true, any events returned from this method will... | python | def get_published_events(self, process=True) -> List[Event]:
"""Get a list of published (pending) events.
Return a list of Event objects which have been published
and are therefore pending to be processed. If the process argument
is set to true, any events returned from this method will... | Get a list of published (pending) events.
Return a list of Event objects which have been published
and are therefore pending to be processed. If the process argument
is set to true, any events returned from this method will also be
marked as processed by moving them to the processed eve... | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/configuration_db/sip_config_db/_events/event_queue.py#L68-L110 |
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.
This method is intended to be used to recover events stuck in the
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]:
"""Get all processed events.
This method is intended to be used to recover events stuck in the
processed state which could happen if an event handling processing
an processed event goes down before completing the event processing.
... | Get all processed events.
This method is intended to be used to recover events stuck in the
processed state which could happen if an event handling processing
an processed event goes down before completing the event processing.
Returns:
list[Events], list of event objects. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/configuration_db/sip_config_db/_events/event_queue.py#L112-L131 |
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):
"""Complete the specified event."""
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 '
'processed (ie. it is not in the proces... | python | def complete_event(self, event_id: str):
"""Complete the specified event."""
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 '
'processed (ie. it is not in the proces... | Complete the specified event. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/configuration_db/sip_config_db/_events/event_queue.py#L133-L143 |
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.
Templates are expected to be found in a directory tree with the following
structure:
- workflow_id:
|- workflow_version
|- stage_id
|... | python | def add(workflow_definition: dict, templates_root: str):
"""Add a workflow definition to the Configuration Database.
Templates are expected to be found in a directory tree with the following
structure:
- workflow_id:
|- workflow_version
|- stage_id
|... | Add a workflow definition to the Configuration Database.
Templates are expected to be found in a directory tree with the following
structure:
- workflow_id:
|- workflow_version
|- stage_id
|- stage_version
|- <templates>
Args... | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/configuration_db/sip_config_db/scheduling/workflow_definitions.py#L17-L52 |
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,
stages=[])
# 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,
stages=[])
# DB.set_ha... | Register an (empty) workflow definition in the database. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/configuration_db/sip_config_db/scheduling/workflow_definitions.py#L55-L61 |
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):
"""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... | 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 workflow
definitions. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/configuration_db/sip_config_db/scheduling/workflow_definitions.py#L64-L88 |
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:
"""Get a workflow definition from the Configuration Database.
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:
"""Get a workflow definition from the Configuration Database.
Args:
workflow_id (str): Workflow identifier
workflow_version (str): Workflow version
Returns:
dict, Workflow definition dictionary
"""
name = "... | Get a workflow definition from the Configuration Database.
Args:
workflow_id (str): Workflow identifier
workflow_version (str): Workflow version
Returns:
dict, Workflow definition dictionary | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/configuration_db/sip_config_db/scheduling/workflow_definitions.py#L91-L105 |
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:
values = key.split(':')
if values[1] not in known_workflows:
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:
values = key.split(':')
if values[1] not in known_workflows:
known_workf... | Get dict of ALL known workflow definitions.
Returns
list[dict] | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/configuration_db/sip_config_db/scheduling/workflow_definitions.py#L108-L123 |
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):
"""Load templates keys."""
workflow_template_path = join(templates_root, workflow['id'],
workflow['version'])
for i, stage_config in enumerate(workflow['stages']):
stage_template_path = join(workflow_template... | python | def _load_templates(workflow: dict, templates_root: str):
"""Load templates keys."""
workflow_template_path = join(templates_root, workflow['id'],
workflow['version'])
for i, stage_config in enumerate(workflow['stages']):
stage_template_path = join(workflow_template... | Load templates keys. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/configuration_db/sip_config_db/scheduling/workflow_definitions.py#L126-L140 |
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()
log = logging.getLogg... | Delete PBs devices from the Tango database. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/tango_control/tango_processing_block/app/delete_devices.py#L11-L24 |
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.
#... | Main function for SPEAD sender module. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/science_pipeline_workflows/ingest_visibilities/send/async_send.py#L278-L304 |
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.
This is run in an executor.
"""
# Calculate the time count and fraction.
now = datetime.datetime.utcnow()
time_full = now.timestamp()
time_count = int(time_full)
time_fr... | python | def fill_buffer(heap_data, i_chan):
"""Blocking function to populate data in the heap.
This is run in an executor.
"""
# Calculate the time count and fraction.
now = datetime.datetime.utcnow()
time_full = now.timestamp()
time_count = int(time_full)
time_fr... | Blocking function to populate data in the heap.
This is run in an executor. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/science_pipeline_workflows/ingest_visibilities/send/async_send.py#L82-L98 |
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']
num_pols = self._config['heap']['nu... | Main loop. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/science_pipeline_workflows/ingest_visibilities/send/async_send.py#L101-L244 |
SKA-ScienceDataProcessor/integration-prototype | sip/science_pipeline_workflows/ingest_visibilities/send/async_send.py | SpeadSender.run | def run(self):
"""Starts the sender."""
# Create the thread pool.
executor = concurrent.futures.ThreadPoolExecutor(
max_workers=self._config['num_workers'])
# Wait to ensure multiple senders can be synchronised.
now = int(datetime.datetime.utcnow().timestamp())
... | python | def run(self):
"""Starts the sender."""
# Create the thread pool.
executor = concurrent.futures.ThreadPoolExecutor(
max_workers=self._config['num_workers'])
# Wait to ensure multiple senders can be synchronised.
now = int(datetime.datetime.utcnow().timestamp())
... | Starts the sender. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/science_pipeline_workflows/ingest_visibilities/send/async_send.py#L246-L274 |
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."""
if object_id in self.active:
DB.remove_from_list('{}:active'.format(self.type), object_id)
DB.append_to_list('{}:completed'.format(self.type), object_id) | python | def set_complete(self, object_id: str):
"""Mark the specified object as completed."""
if object_id in self.active:
DB.remove_from_list('{}:active'.format(self.type), object_id)
DB.append_to_list('{}:completed'.format(self.type), object_id) | Mark the specified object as completed. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/configuration_db/sip_config_db/scheduling/_scheduling_object_list.py#L70-L74 |
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,
event_data: dict = None):
"""Publish a scheduling object event.
Args:
object_id (str): ID of the scheduling object
event_type (str): Type of event.
event_data (dict, optional): Event data.
""... | python | def publish(self, object_id: str, event_type: str,
event_data: dict = None):
"""Publish a scheduling object event.
Args:
object_id (str): ID of the scheduling object
event_type (str): Type of event.
event_data (dict, optional): Event data.
""... | Publish a scheduling object event.
Args:
object_id (str): ID of the scheduling object
event_type (str): Type of event.
event_data (dict, optional): Event data. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/configuration_db/sip_config_db/scheduling/_scheduling_object_list.py#L104-L120 |
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,
workflow_stage_dict: dict,
workflow_stage: WorkflowStage,
docker: DockerSwarmClient):
"""Start a workflow stage by starting a number of docker services.
This function fir... | python | def _start_workflow_stages(pb: ProcessingBlock, pb_id: str,
workflow_stage_dict: dict,
workflow_stage: WorkflowStage,
docker: DockerSwarmClient):
"""Start a workflow stage by starting a number of docker services.
This function fir... | Start a workflow stage by starting a number of docker services.
This function first assesses if the specified workflow stage can be
started based on its dependencies. If this is found to be the case,
the workflow stage is stared by first resolving and template arguments
in the workflow stage configurat... | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/processing_block_controller/sip_pbc/tasks.py#L55-L143 |
SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/processing_block_controller/sip_pbc/tasks.py | _update_workflow_stages | def _update_workflow_stages(stage_data: dict, workflow_stage: WorkflowStage,
docker: DockerSwarmClient):
"""Check and update the status of a workflow stage.
This function checks and updates the status of a workflow stage
specified by the parameters in the specified stage_data di... | python | def _update_workflow_stages(stage_data: dict, workflow_stage: WorkflowStage,
docker: DockerSwarmClient):
"""Check and update the status of a workflow stage.
This function checks and updates the status of a workflow stage
specified by the parameters in the specified stage_data di... | Check and update the status of a workflow stage.
This function checks and updates the status of a workflow stage
specified by the parameters in the specified stage_data dictionary.
If the workflow stage is not marked as complete, this function will
check with the Docker Swarm API on the status of Dock... | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/processing_block_controller/sip_pbc/tasks.py#L146-L187 |
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,
docker: DockerSwarmClient):
"""Abort the workflow.
TODO(BMo): This function currently does nothing as the abort flag
is hardcoded to False!
This function is used by `execute_processing_block`.
Args:
... | python | def _abort_workflow(pb: ProcessingBlock, workflow_stage_dict: dict,
docker: DockerSwarmClient):
"""Abort the workflow.
TODO(BMo): This function currently does nothing as the abort flag
is hardcoded to False!
This function is used by `execute_processing_block`.
Args:
... | Abort the workflow.
TODO(BMo): This function currently does nothing as the abort flag
is hardcoded to False!
This function is used by `execute_processing_block`.
Args:
pb (ProcessingBlock): Configuration database Processing block object.
workflow_stage_dict (dict): Workflow stage ... | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/processing_block_controller/sip_pbc/tasks.py#L190-L217 |
SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/processing_block_controller/sip_pbc/tasks.py | _workflow_complete | def _workflow_complete(workflow_stage_dict: dict):
"""Check if the workflow is complete.
This function checks if the entire workflow is complete.
This function is used by `execute_processing_block`.
Args:
workflow_stage_dict (dict): Workflow metadata dictionary.
Returns:
bool, Tr... | python | def _workflow_complete(workflow_stage_dict: dict):
"""Check if the workflow is complete.
This function checks if the entire workflow is complete.
This function is used by `execute_processing_block`.
Args:
workflow_stage_dict (dict): Workflow metadata dictionary.
Returns:
bool, Tr... | Check if the workflow is complete.
This function checks if the entire workflow is complete.
This function is used by `execute_processing_block`.
Args:
workflow_stage_dict (dict): Workflow metadata dictionary.
Returns:
bool, True if the workflow is complete, otherwise False. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/processing_block_controller/sip_pbc/tasks.py#L220-L242 |
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'):
"""Execute a processing block.
Celery tasks that executes a workflow defined in a Configuration database
Processing Block data object.
Args:
pb_id (str): The PB id for the PBC
log_level (str): Python logging level.
"""
... | python | def execute_processing_block(pb_id: str, log_level='DEBUG'):
"""Execute a processing block.
Celery tasks that executes a workflow defined in a Configuration database
Processing Block data object.
Args:
pb_id (str): The PB id for the PBC
log_level (str): Python logging level.
"""
... | Execute a processing block.
Celery tasks that executes a workflow defined in a Configuration database
Processing Block data object.
Args:
pb_id (str): The PB id for the PBC
log_level (str): Python logging level. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/processing_block_controller/sip_pbc/tasks.py#L246-L303 |
SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/processing_controller/scheduler/pb_queue.py | ProcessingBlockQueue.put | def put(self, block_id, priority, pb_type='offline'):
"""Add a Processing Block to the queue.
When a new entry it added, the queue is (re-)sorted by priority
followed by insertion order (older blocks with equal priority are
first).
Args:
block_id (str): Processing B... | python | def put(self, block_id, priority, pb_type='offline'):
"""Add a Processing Block to the queue.
When a new entry it added, the queue is (re-)sorted by priority
followed by insertion order (older blocks with equal priority are
first).
Args:
block_id (str): Processing B... | Add a Processing Block to the queue.
When a new entry it added, the queue is (re-)sorted by priority
followed by insertion order (older blocks with equal priority are
first).
Args:
block_id (str): Processing Block Identifier
priority (int): Processing Block sche... | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/processing_controller/scheduler/pb_queue.py#L34-L64 |
SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/processing_controller/scheduler/pb_queue.py | ProcessingBlockQueue.get | def get(self):
"""Get the highest priority Processing Block from the queue."""
with self._mutex:
entry = self._queue.pop()
del self._block_map[entry[2]]
return entry[2] | python | def get(self):
"""Get the highest priority Processing Block from the queue."""
with self._mutex:
entry = self._queue.pop()
del self._block_map[entry[2]]
return entry[2] | Get the highest priority Processing Block from the queue. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/processing_controller/scheduler/pb_queue.py#L66-L71 |
SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/processing_controller/scheduler/pb_queue.py | ProcessingBlockQueue.remove | def remove(self, block_id):
"""Remove a Processing Block from the queue.
Args:
block_id (str):
"""
with self._mutex:
entry = self._block_map[block_id]
self._queue.remove(entry) | python | def remove(self, block_id):
"""Remove a Processing Block from the queue.
Args:
block_id (str):
"""
with self._mutex:
entry = self._block_map[block_id]
self._queue.remove(entry) | Remove a Processing Block from the queue.
Args:
block_id (str): | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/processing_controller/scheduler/pb_queue.py#L73-L81 |
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]:
"""Return a list of ServiceState objects known to SDP."""
keys = DB.get_keys('states*')
LOG.debug('Loading list of known services.')
services = []
for key in keys:
values = key.split(':')
if len(values) == 4:
services.ap... | python | def get_service_state_list() -> List[ServiceState]:
"""Return a list of ServiceState objects known to SDP."""
keys = DB.get_keys('states*')
LOG.debug('Loading list of known services.')
services = []
for key in keys:
values = key.split(':')
if len(values) == 4:
services.ap... | Return a list of ServiceState objects known to SDP. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/configuration_db/sip_config_db/states/services.py#L11-L20 |
SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/configuration_db/sip_config_db/states/services.py | get_service_id_list | def get_service_id_list() -> List[tuple]:
"""Return list of Services."""
keys = DB.get_keys('states*')
services = []
for key in keys:
values = key.split(':')
if len(values) == 4:
services.append(':'.join(values[1:]))
return services | python | def get_service_id_list() -> List[tuple]:
"""Return list of Services."""
keys = DB.get_keys('states*')
services = []
for key in keys:
values = key.split(':')
if len(values) == 4:
services.append(':'.join(values[1:]))
return services | Return list of Services. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/configuration_db/sip_config_db/states/services.py#L23-L31 |
SKA-ScienceDataProcessor/integration-prototype | sip/examples/flask_processing_controller/app/api/processing_block_list.py | get | def get():
"""Return the list of Processing Blocks known to SDP."""
LOG.debug('GET Processing Block list')
_url = get_root_url()
# Get list of Processing block Ids
block_ids = sorted(DB.get_processing_block_ids())
LOG.debug('Processing Block IDs: %s', block_ids)
# Construct response objec... | python | def get():
"""Return the list of Processing Blocks known to SDP."""
LOG.debug('GET Processing Block list')
_url = get_root_url()
# Get list of Processing block Ids
block_ids = sorted(DB.get_processing_block_ids())
LOG.debug('Processing Block IDs: %s', block_ids)
# Construct response objec... | Return the list of Processing Blocks known to SDP. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/examples/flask_processing_controller/app/api/processing_block_list.py#L18-L46 |
SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/configuration_db/sip_config_db/scheduling/_scheduling_object.py | SchedulingObject.config | def config(self) -> dict:
"""Get the scheduling object config."""
# Check that the key exists
self._check_object_exists()
config_dict = DB.get_hash_dict(self.key)
for _, value in config_dict.items():
for char in ['[', '{']:
if char in value:
... | python | def config(self) -> dict:
"""Get the scheduling object config."""
# Check that the key exists
self._check_object_exists()
config_dict = DB.get_hash_dict(self.key)
for _, value in config_dict.items():
for char in ['[', '{']:
if char in value:
... | Get the scheduling object config. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/configuration_db/sip_config_db/scheduling/_scheduling_object.py#L49-L58 |
SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/configuration_db/sip_config_db/scheduling/_scheduling_object.py | SchedulingObject.get_property | def get_property(self, property_key: str) -> str:
"""Get a scheduling object property."""
self._check_object_exists()
return DB.get_hash_value(self.key, property_key) | python | def get_property(self, property_key: str) -> str:
"""Get a scheduling object property."""
self._check_object_exists()
return DB.get_hash_value(self.key, property_key) | Get a scheduling object property. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/configuration_db/sip_config_db/scheduling/_scheduling_object.py#L60-L63 |
SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/configuration_db/sip_config_db/scheduling/_scheduling_object.py | SchedulingObject.set_status | def set_status(self, value):
"""Set the status of the scheduling object."""
self._check_object_exists()
DB.set_hash_value(self.key, 'status', value)
self.publish('status_changed', event_data=dict(status=value)) | python | def set_status(self, value):
"""Set the status of the scheduling object."""
self._check_object_exists()
DB.set_hash_value(self.key, 'status', value)
self.publish('status_changed', event_data=dict(status=value)) | Set the status of the scheduling object. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/configuration_db/sip_config_db/scheduling/_scheduling_object.py#L81-L85 |
SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/configuration_db/sip_config_db/scheduling/_scheduling_object.py | SchedulingObject.publish | def publish(self, event_type: str, event_data: dict = None):
"""Publish an event associated with the scheduling object.
Note:
Ideally publish should not be used directly but by other methods
which perform actions on the object.
Args:
event_type (str): Type o... | python | def publish(self, event_type: str, event_data: dict = None):
"""Publish an event associated with the scheduling object.
Note:
Ideally publish should not be used directly but by other methods
which perform actions on the object.
Args:
event_type (str): Type o... | Publish an event associated with the scheduling object.
Note:
Ideally publish should not be used directly but by other methods
which perform actions on the object.
Args:
event_type (str): Type of event.
event_data (dict, optional): Event data. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/configuration_db/sip_config_db/scheduling/_scheduling_object.py#L117-L140 |
SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/configuration_db/sip_config_db/scheduling/_scheduling_object.py | SchedulingObject.get_events | def get_events(self) -> List[Event]:
"""Get events associated with the scheduling object.
Returns:
list of Event objects
"""
LOG.debug('Getting events for %s', self.key)
return get_events(self.key) | python | def get_events(self) -> List[Event]:
"""Get events associated with the scheduling object.
Returns:
list of Event objects
"""
LOG.debug('Getting events for %s', self.key)
return get_events(self.key) | Get events associated with the scheduling object.
Returns:
list of Event objects | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/configuration_db/sip_config_db/scheduling/_scheduling_object.py#L142-L150 |
SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/configuration_db/sip_config_db/scheduling/_scheduling_object.py | SchedulingObject._check_object_exists | def _check_object_exists(self):
"""Raise a KeyError if the scheduling object doesnt exist.
Raise:
KeyError, if the object doesnt exist in the database.
"""
if not DB.get_keys(self.key):
raise KeyError("Object with key '{}' not exist".format(self.key)) | python | def _check_object_exists(self):
"""Raise a KeyError if the scheduling object doesnt exist.
Raise:
KeyError, if the object doesnt exist in the database.
"""
if not DB.get_keys(self.key):
raise KeyError("Object with key '{}' not exist".format(self.key)) | Raise a KeyError if the scheduling object doesnt exist.
Raise:
KeyError, if the object doesnt exist in the database. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/configuration_db/sip_config_db/scheduling/_scheduling_object.py#L160-L168 |
SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/configuration_db/sip_config_db/states/service_state.py | ServiceState.get_service_state_object_id | def get_service_state_object_id(subsystem: str, name: str,
version: str) -> str:
"""Return service state data object key.
Args:
subsystem (str): Subsystem the service belongs to
name (str): Name of the Service
version (str): Versio... | python | def get_service_state_object_id(subsystem: str, name: str,
version: str) -> str:
"""Return service state data object key.
Args:
subsystem (str): Subsystem the service belongs to
name (str): Name of the Service
version (str): Versio... | Return service state data object key.
Args:
subsystem (str): Subsystem the service belongs to
name (str): Name of the Service
version (str): Version of the Service
Returns:
str, Key used to store the service state data object | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/configuration_db/sip_config_db/states/service_state.py#L59-L72 |
SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/docker_api/sip_docker_swarm/docker_swarm_client.py | DockerSwarmClient.create_services | def create_services(self, compose_str: str) -> list:
"""Create new docker services.
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:
... | python | def create_services(self, compose_str: str) -> list:
"""Create new docker services.
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:
... | Create new docker services.
Args:
compose_str (string): Docker compose 'file' string
Return:
service_names, list | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/docker_api/sip_docker_swarm/docker_swarm_client.py#L88-L134 |
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):
"""Create new docker volumes.
Only the manager nodes can create a volume
Args:
volume_name (string): Name for the new docker volume
driver_spec (string): Driver for the docker volume
"""
... | python | def create_volume(self, volume_name: str, driver_spec: str = None):
"""Create new docker volumes.
Only the manager nodes can create a volume
Args:
volume_name (string): Name for the new docker volume
driver_spec (string): Driver for the docker volume
"""
... | Create new docker volumes.
Only the manager nodes can create a volume
Args:
volume_name (string): Name for the new docker volume
driver_spec (string): Driver for the docker volume | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/docker_api/sip_docker_swarm/docker_swarm_client.py#L136-L156 |
SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/docker_api/sip_docker_swarm/docker_swarm_client.py | DockerSwarmClient.delete_service | def delete_service(self, service: str):
"""Removes/stops a docker service.
Only the manager nodes can delete a service
Args:
service (string): Service name or ID
"""
# Raise an exception if we are not a manager
if not self._manager:
raise Runtime... | python | def delete_service(self, service: str):
"""Removes/stops a docker service.
Only the manager nodes can delete a service
Args:
service (string): Service name or ID
"""
# Raise an exception if we are not a manager
if not self._manager:
raise Runtime... | Removes/stops a docker service.
Only the manager nodes can delete a service
Args:
service (string): Service name or ID | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/docker_api/sip_docker_swarm/docker_swarm_client.py#L162-L176 |
SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/docker_api/sip_docker_swarm/docker_swarm_client.py | DockerSwarmClient.delete_all_services | def delete_all_services(self):
"""Removes/stops a service.
Only the manager nodes can delete a service
"""
# Raise an exception if we are not a manager
if not self._manager:
raise RuntimeError('Services can only be deleted '
'on swarm m... | python | def delete_all_services(self):
"""Removes/stops a service.
Only the manager nodes can delete a service
"""
# Raise an exception if we are not a manager
if not self._manager:
raise RuntimeError('Services can only be deleted '
'on swarm m... | Removes/stops a service.
Only the manager nodes can delete a service | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/docker_api/sip_docker_swarm/docker_swarm_client.py#L178-L191 |
SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/docker_api/sip_docker_swarm/docker_swarm_client.py | DockerSwarmClient.delete_volume | def delete_volume(self, volume_name: str):
"""Removes/stops a docker volume.
Only the manager nodes can delete a volume
Args:
volume_name (string): Name of the volume
"""
# Raise an exception if we are not a manager
if not self._manager:
raise Ru... | python | def delete_volume(self, volume_name: str):
"""Removes/stops a docker volume.
Only the manager nodes can delete a volume
Args:
volume_name (string): Name of the volume
"""
# Raise an exception if we are not a manager
if not self._manager:
raise Ru... | Removes/stops a docker volume.
Only the manager nodes can delete a volume
Args:
volume_name (string): Name of the volume | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/docker_api/sip_docker_swarm/docker_swarm_client.py#L193-L207 |
SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/docker_api/sip_docker_swarm/docker_swarm_client.py | DockerSwarmClient.delete_all_volumes | def delete_all_volumes(self):
"""Remove all the volumes.
Only the manager nodes can delete a volume
"""
# Raise an exception if we are not a manager
if not self._manager:
raise RuntimeError('Volumes can only be deleted '
'on swarm manag... | python | def delete_all_volumes(self):
"""Remove all the volumes.
Only the manager nodes can delete a volume
"""
# Raise an exception if we are not a manager
if not self._manager:
raise RuntimeError('Volumes can only be deleted '
'on swarm manag... | Remove all the volumes.
Only the manager nodes can delete a volume | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/docker_api/sip_docker_swarm/docker_swarm_client.py#L209-L222 |
SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/docker_api/sip_docker_swarm/docker_swarm_client.py | DockerSwarmClient.get_service_list | def get_service_list(self) -> list:
"""Get a list of docker services.
Only the manager nodes can retrieve all the services
Returns:
list, all the ids of the services in swarm
"""
# Initialising empty list
services = []
# Raise an exception if we ar... | python | def get_service_list(self) -> list:
"""Get a list of docker services.
Only the manager nodes can retrieve all the services
Returns:
list, all the ids of the services in swarm
"""
# Initialising empty list
services = []
# Raise an exception if we ar... | Get a list of docker services.
Only the manager nodes can retrieve all the services
Returns:
list, all the ids of the services in swarm | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/docker_api/sip_docker_swarm/docker_swarm_client.py#L228-L248 |
SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/docker_api/sip_docker_swarm/docker_swarm_client.py | DockerSwarmClient.get_service_name | def get_service_name(self, service_id: str) -> str:
"""Get the name of the docker service.
Only the manager nodes can retrieve service name
Args:
service_id (string): List of service ID
Returns:
string, name of the docker service
"""
# Raise an... | python | def get_service_name(self, service_id: str) -> str:
"""Get the name of the docker service.
Only the manager nodes can retrieve service name
Args:
service_id (string): List of service ID
Returns:
string, name of the docker service
"""
# Raise an... | Get the name of the docker service.
Only the manager nodes can retrieve service name
Args:
service_id (string): List of service ID
Returns:
string, name of the docker service | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/docker_api/sip_docker_swarm/docker_swarm_client.py#L250-L268 |
SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/docker_api/sip_docker_swarm/docker_swarm_client.py | DockerSwarmClient.get_service_details | def get_service_details(self, service_id: str) -> dict:
"""Get details of a service.
Only the manager nodes can retrieve service details
Args:
service_id (string): List of service id
Returns:
dict, details of the service
"""
# Raise an exceptio... | python | def get_service_details(self, service_id: str) -> dict:
"""Get details of a service.
Only the manager nodes can retrieve service details
Args:
service_id (string): List of service id
Returns:
dict, details of the service
"""
# Raise an exceptio... | Get details of a service.
Only the manager nodes can retrieve service details
Args:
service_id (string): List of service id
Returns:
dict, details of the service | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/docker_api/sip_docker_swarm/docker_swarm_client.py#L270-L288 |
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:
"""Get the state of the service.
Only the manager nodes can retrieve service state
Args:
service_id (str): Service id
Returns:
str, state of the service
"""
# Get service
service = se... | python | def get_service_state(self, service_id: str) -> str:
"""Get the state of the service.
Only the manager nodes can retrieve service state
Args:
service_id (str): Service id
Returns:
str, state of the service
"""
# Get service
service = se... | Get the state of the service.
Only the manager nodes can retrieve service state
Args:
service_id (str): Service id
Returns:
str, state of the service | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/docker_api/sip_docker_swarm/docker_swarm_client.py#L290-L308 |
SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/docker_api/sip_docker_swarm/docker_swarm_client.py | DockerSwarmClient.get_node_list | def get_node_list(self) -> list:
"""Get a list of nodes.
Only the manager nodes can retrieve all the nodes
Returns:
list, all the ids of the nodes in swarm
"""
# Initialising empty list
nodes = []
# Raise an exception if we are not a manager
... | python | def get_node_list(self) -> list:
"""Get a list of nodes.
Only the manager nodes can retrieve all the nodes
Returns:
list, all the ids of the nodes in swarm
"""
# Initialising empty list
nodes = []
# Raise an exception if we are not a manager
... | Get a list of nodes.
Only the manager nodes can retrieve all the nodes
Returns:
list, all the ids of the nodes in swarm | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/docker_api/sip_docker_swarm/docker_swarm_client.py#L310-L330 |
SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/docker_api/sip_docker_swarm/docker_swarm_client.py | DockerSwarmClient.get_node_details | def get_node_details(self, node_id: list) -> dict:
"""Get details of a node.
Only the manager nodes can retrieve details of a node
Args:
node_id (list): List of node ID
Returns:
dict, details of the node
"""
# Raise an exception if we are not a... | python | def get_node_details(self, node_id: list) -> dict:
"""Get details of a node.
Only the manager nodes can retrieve details of a node
Args:
node_id (list): List of node ID
Returns:
dict, details of the node
"""
# Raise an exception if we are not a... | Get details of a node.
Only the manager nodes can retrieve details of a node
Args:
node_id (list): List of node ID
Returns:
dict, details of the node | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/docker_api/sip_docker_swarm/docker_swarm_client.py#L332-L350 |
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:
conta... | Get list of containers.
Returns:
list, all the ids of containers | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/docker_api/sip_docker_swarm/docker_swarm_client.py#L352-L365 |
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
"""
container = self._client.containers.get(conta... | Get details of a container.
Args:
container_id_or_name (string): docker container id or name
Returns:
dict, details of the container | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/docker_api/sip_docker_swarm/docker_swarm_client.py#L367-L378 |
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... | 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 | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/docker_api/sip_docker_swarm/docker_swarm_client.py#L380-L400 |
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... | Get details of the volume.
Args:
volume_name (str): Name of the volume
Returns:
dict, details of the volume | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/docker_api/sip_docker_swarm/docker_swarm_client.py#L402-L416 |
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... | Get the actual replica level of a service.
Args:
service_id (str): docker swarm service id
Returns:
str, replicated level of the service | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/docker_api/sip_docker_swarm/docker_swarm_client.py#L418-L436 |
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