_id stringlengths 2 7 | title stringlengths 1 88 | partition stringclasses 3
values | text stringlengths 31 13.1k | language stringclasses 1
value | meta_information dict |
|---|---|---|---|---|---|
q17300 | SchedulingObject.get_property | train | def get_property(self, property_key: str) -> str:
"""Get a scheduling object property."""
| python | {
"resource": ""
} |
q17301 | SchedulingObject.set_status | train | def set_status(self, value):
"""Set the status of the scheduling object."""
self._check_object_exists()
DB.set_hash_value(self.key, | python | {
"resource": ""
} |
q17302 | SchedulingObject.publish | train | 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 of event.
event_data (dict, optional): Event data.
"""
import inspect
import os.path
_stack = inspect.stack()
_origin = os.path.basename(_stack[3][1]) + '::' + \ | python | {
"resource": ""
} |
q17303 | SchedulingObject.get_events | train | def get_events(self) -> List[Event]:
"""Get events associated with the scheduling object.
Returns:
list of Event objects
"""
| python | {
"resource": ""
} |
q17304 | SchedulingObject._check_object_exists | train | def _check_object_exists(self):
"""Raise a KeyError if the scheduling object doesnt exist.
Raise:
| python | {
"resource": ""
} |
q17305 | ServiceState.get_service_state_object_id | train | 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
| python | {
"resource": ""
} |
q17306 | DockerSwarmClient.create_services | train | 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:
raise RuntimeError('Services can only be run on '
'swarm manager nodes')
# Initialise empty list
services_ids = []
try:
service_config = yaml.load(compose_str)
# Deepcopy the service config
service_list = copy.deepcopy(service_config)
# Removing version and service from the dict
service_config.pop('version')
service_config.pop('services')
for service_name in service_list['services']:
service_exist = self._client.services.list(
filters={'name': service_name})
if not service_exist:
service_config['name'] = service_name
| python | {
"resource": ""
} |
q17307 | DockerSwarmClient.create_volume | train | 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
"""
# Default values
if driver_spec:
driver = driver_spec
else:
driver = 'local'
| python | {
"resource": ""
} |
q17308 | DockerSwarmClient.delete_all_volumes | train | 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:
| python | {
"resource": ""
} |
q17309 | DockerSwarmClient.get_service_list | train | 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 are not a manager
if not self._manager:
raise RuntimeError('Only the Swarm manager node can retrieve'
| python | {
"resource": ""
} |
q17310 | DockerSwarmClient.get_service_name | train | 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:
| python | {
"resource": ""
} |
q17311 | DockerSwarmClient.get_service_details | train | 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:
| python | {
"resource": ""
} |
q17312 | DockerSwarmClient.get_service_state | train | 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
| python | {
"resource": ""
} |
q17313 | DockerSwarmClient.get_node_list | train | 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
if not self._manager:
raise RuntimeError('Only the Swarm manager node '
| python | {
"resource": ""
} |
q17314 | DockerSwarmClient.get_node_details | train | 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:
| python | {
"resource": ""
} |
q17315 | DockerSwarmClient.get_container_list | train | def get_container_list(self) -> list:
"""Get list of containers.
Returns:
list, all the ids of containers
"""
| python | {
"resource": ""
} |
q17316 | DockerSwarmClient.get_container_details | train | 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
| python | {
"resource": ""
} |
q17317 | DockerSwarmClient.get_volume_list | train | 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
| python | {
"resource": ""
} |
q17318 | DockerSwarmClient.get_volume_details | train | 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 | python | {
"resource": ""
} |
q17319 | DockerSwarmClient.get_actual_replica | train | 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 not self._manager:
raise RuntimeError('Only the Swarm manager node can retrieve '
'replication level | python | {
"resource": ""
} |
q17320 | DockerSwarmClient.get_replicas | train | def get_replicas(self, service_id: str) -> str:
"""Get the replication level of a service.
Args:
service_id (str): docker swarm service id
Returns:
str, replication level of the service
"""
# Initialising empty list
replicas = []
# Raise an exception if we are not a manager
if not self._manager:
raise RuntimeError('Only the Swarm manager node can retrieve '
| python | {
"resource": ""
} |
q17321 | DockerSwarmClient.update_labels | train | def update_labels(self, node_name: str, labels: dict):
"""Update label of a node.
Args:
node_name (string): Name of the node.
labels (dict): Label to add to the node
"""
# Raise an exception if we are not a manager
if not self._manager:
raise RuntimeError('Only the Swarm manager node can update '
'node details.')
# Node specification
| python | {
"resource": ""
} |
q17322 | DockerSwarmClient._parse_services | train | def _parse_services(self, service_config: dict, service_name: str,
service_list: dict) -> dict:
"""Parse the docker compose file.
Args:
service_config (dict): Service configurations from the compose file
service_name (string): Name of the services
service_list (dict): Service configuration list
Returns:
dict, service specifications extracted from the compose file
"""
for key, value in service_list['services'][service_name].items():
service_config[key] = value
if 'command' in key:
key = "args"
service_config['args'] = value
service_config.pop('command')
if 'ports' in key:
endpoint_spec = self._parse_ports(value)
service_config['endpoint_spec'] = endpoint_spec
service_config.pop('ports')
if 'volumes' in key:
volume_spec = self._parse_volumes(value)
service_config['mounts'] = volume_spec
service_config.pop('volumes')
| python | {
"resource": ""
} |
q17323 | DockerSwarmClient._parse_deploy | train | def _parse_deploy(self, deploy_values: dict, service_config: dict):
"""Parse deploy key.
Args:
deploy_values (dict): deploy configuration values
service_config (dict): Service configuration
"""
# Initialising empty dictionary
mode = {}
for d_value in deploy_values:
if 'restart_policy' in d_value:
restart_spec = docker.types.RestartPolicy(
**deploy_values[d_value])
service_config['restart_policy'] = restart_spec
| python | {
"resource": ""
} |
q17324 | DockerSwarmClient._parse_ports | train | def _parse_ports(port_values: dict) -> dict:
"""Parse ports key.
Args:
port_values (dict): ports configuration values
Returns:
dict, Ports specification which contains exposed ports
"""
| python | {
"resource": ""
} |
q17325 | DockerSwarmClient._parse_volumes | train | def _parse_volumes(volume_values: dict) -> str:
"""Parse volumes key.
Args:
volume_values (dict): volume configuration values
Returns:
string, volume specification with mount source and container path
"""
for v_values in volume_values:
for v_key, v_value in v_values.items():
if v_key == 'source':
if v_value == '.':
| python | {
"resource": ""
} |
q17326 | DockerSwarmClient._parse_resources | train | def _parse_resources(resource_values: dict, resource_name: str) -> dict:
"""Parse resources key.
Args:
resource_values (dict): resource configurations values
resource_name (string): Resource name
Returns:
dict, resources specification
"""
# Initialising empty dictionary
resources = {}
for r_values in resource_values[resource_name]:
if 'limits' in r_values:
for r_key, r_value in \
resource_values[resource_name][r_values].items():
if 'cpu' in r_key:
cpu_value = float(r_value) * 10 ** 9
cpu_key = r_key[:3] + '_limit'
| python | {
"resource": ""
} |
q17327 | DockerSwarmClient._parse_networks | train | def _parse_networks(service_list: dict) -> list:
"""Parse network key.
Args:
service_list (dict): Service configurations
Returns:
list, List of networks
"""
# Initialising empty list
networks = []
| python | {
"resource": ""
} |
q17328 | DockerSwarmClient._parse_logging | train | def _parse_logging(log_values: dict, service_config: dict):
"""Parse log key.
Args:
log_values (dict): logging configuration values
service_config (dict): Service specification
"""
for log_key, log_value in log_values.items():
| python | {
"resource": ""
} |
q17329 | ProcessingBlockScheduler._init_queue | train | def _init_queue():
"""Initialise the Processing Block queue from the database.
This method should populate the queue from the current state of the
Configuration Database.
This needs to be based on the current set of Processing Blocks in
the database and consider events on these processing blocks.
"""
LOG.info('Initialising Processing Block queue.')
| python | {
"resource": ""
} |
q17330 | ProcessingBlockScheduler._monitor_events | train | def _monitor_events(self):
"""Watch for Processing Block events."""
LOG.info("Starting to monitor PB events")
check_counter = 0
while True:
if check_counter == 50:
check_counter = 0
LOG.debug('Checking for PB events...')
published_events = self._pb_events.get_published_events()
for event in published_events:
if event.type == 'status_changed':
LOG.info('PB status changed event: %s',
event.data['status'])
if event.data['status'] == 'created':
LOG.info('Acknowledged PB created event (%s) for %s, '
'[timestamp: %s]', event.id,
event.object_id, event.timestamp)
pb | python | {
"resource": ""
} |
q17331 | ProcessingBlockScheduler._schedule_processing_blocks | train | def _schedule_processing_blocks(self):
"""Schedule Processing Blocks for execution."""
LOG.info('Starting to Schedule Processing Blocks.')
while True:
time.sleep(0.5)
if not self._queue:
continue
if self._num_pbcs >= self._max_pbcs:
LOG.warning('Resource limit reached!')
continue
_inspect = Inspect(app=APP)
if self._queue and _inspect.active() is not None:
next_pb = self._queue[-1]
LOG.info('Considering %s for execution...', next_pb[2])
utc_now = datetime.datetime.utcnow()
time_in_queue = (utc_now -
datetime_from_isoformat(next_pb[4]))
if time_in_queue.total_seconds() >= 10:
item = self._queue.get()
| python | {
"resource": ""
} |
q17332 | ProcessingBlockScheduler._monitor_pbc_status | train | def _monitor_pbc_status(self):
"""Monitor the PBC status."""
LOG.info('Starting to Monitor PBC status.')
inspect = celery.current_app.control.inspect()
workers = inspect.ping()
start_time = time.time()
while workers is None:
time.sleep(0.1)
elapsed = time.time() - start_time
if elapsed > 20.0:
LOG.warning('PBC not found!')
break
if workers is not None:
for worker in workers:
_tasks = inspect.registered_tasks()[worker]
LOG.info('Worker: %s tasks:', worker)
for task_index, task_name in enumerate(_tasks):
LOG.info(' %02d : %s', task_index, task_name)
while True:
LOG.info('Checking PBC status (%d/%d)', self._num_pbcs,
self._max_pbcs)
celery_app = celery.current_app
inspect = celery_app.control.inspect()
workers = inspect.ping() | python | {
"resource": ""
} |
q17333 | ProcessingBlockScheduler.start | train | def start(self):
"""Start the scheduler threads."""
# TODO(BMo) having this check is probably a good idea but I've \
# disabled it for now while the PBC is in flux.
# assert sip_pbc.release.__version__ == '1.2.3'
scheduler_threads = [
Thread(target=self._monitor_events, daemon=True),
Thread(target=self._processing_controller_status, daemon=True),
Thread(target=self._schedule_processing_blocks, daemon=True),
Thread(target=self._monitor_pbc_status, daemon=True)
| python | {
"resource": ""
} |
q17334 | _update_service_current_state | train | def _update_service_current_state(service: ServiceState):
"""Update the current state of a service.
Updates the current state of services after their target state has | python | {
"resource": ""
} |
q17335 | _update_services_instant_gratification | train | def _update_services_instant_gratification(sdp_target_state: str):
"""For demonstration purposes only.
This instantly updates the services current state with the
target state, rather than wait on them or schedule random delays
in bringing them back up.
"""
service_states = get_service_state_list()
# Set the target state of services
for service in service_states:
| python | {
"resource": ""
} |
q17336 | _update_services_target_state | train | def _update_services_target_state(sdp_target_state: str):
"""Update the target states of services based on SDP target state.
When we get a new target state this function is called to ensure
components receive the target state(s) and/or act on them.
Args:
sdp_target_state (str): Target state of SDP
"""
service_states = get_service_state_list()
# Set the target state | python | {
"resource": ""
} |
q17337 | _handle_sdp_target_state_updated | train | def _handle_sdp_target_state_updated(sdp_state: SDPState):
"""Respond to an SDP target state change event.
This function sets the current state of SDP to the target state if that is
possible.
TODO(BMo) This cant be done as a blocking function as it is here!
"""
LOG.info('Handling SDP target state updated event...')
LOG.info('SDP target state: %s', sdp_state.target_state)
# Map between the SDP target state and the service target state?
if | python | {
"resource": ""
} |
q17338 | _init | train | def _init(sdp_state: SDPState):
"""Initialise the Master Controller Service.
Performs the following actions:
1. Registers ServiceState objects into the Config Db.
2. If initialising for the first time (unknown state),
sets the SDPState to 'init'
3. Initialises the state of Services, if running for the first time
(their state == unknown)
4. Waits some time and sets the Service states to 'on'. This emulates
waiting for Services to become available.
5. Once all services are 'on', sets the SDP state to 'standby'.
"""
# Parse command line arguments.
LOG.info("Initialising: %s", __service_id__)
# FIXME(BMo) There is a bug when SDP or services 'start' in the 'off'
# state. At the moment it is impossible to transition out of this.
# FIXME(BMo) **Hack** Register all services or if already registered do
# nothing (this is handled by the ServiceState object).
_services = [
"ExecutionControl:AlarmReceiver:1.0.0",
"ExecutionControl:AlertManager:1.0.0",
"ExecutionControl:ConfigurationDatabase:5.0.1",
"ExecutionControl:MasterController:1.3.0",
"ExecutionControl:ProcessingController:1.2.6",
"ExecutionControl:ProcessingBlockController:1.3.0",
"TangoControl:Database:1.0.4",
"TangoControl:MySQL:1.0.3",
"TangoControl:SDPMaster:1.2.1",
"TangoControl:Subarrays:1.2.0",
"TangoControl:ProcessingBlocks:1.2.0",
"Platform:Kafka:2.1.1",
"Platform:Prometheus:1.0.0",
| python | {
"resource": ""
} |
q17339 | _process_event | train | def _process_event(event: Event, sdp_state: SDPState,
service_states: List[ServiceState]):
"""Process a SDP state change event."""
LOG.debug('Event detected! (id : "%s", type: "%s", data: "%s")',
event.object_id, event.type, event.data)
if event.object_id == 'SDP' and event.type == 'current_state_updated':
LOG.info('SDP current state updated, no action required!')
if event.object_id == 'SDP' and event.type == 'target_state_updated':
LOG.info("SDP target state changed to '%s'",
sdp_state.target_state)
# If the sdp is already in the target state do nothing
if sdp_state.target_state == sdp_state.current_state:
LOG.warning('SDP already in %s state',
sdp_state.current_state)
return
# Check that a transition to the target state is allowed in the
# current state.
if not sdp_state.is_target_state_allowed(sdp_state.target_state):
LOG.error('Transition to %s is not allowed when in state %s',
sdp_state.target_state, sdp_state.current_state)
sdp_state.target_state = sdp_state.current_state
return
_update_services_target_state(sdp_state.target_state)
# If asking SDP to turn off, also turn off services.
if sdp_state.target_state == 'off':
LOG.info('Turning off services!')
for service_state in | python | {
"resource": ""
} |
q17340 | _process_state_change_events | train | def _process_state_change_events():
"""Process events relating to the overall state of SDP.
This function starts and event loop which continually checks for
and responds to SDP state change events.
"""
sdp_state = SDPState()
service_states = get_service_state_list()
state_events = sdp_state.get_event_queue(subscriber=__service_name__)
state_is_off = sdp_state.current_state == 'off'
counter = 0
while True:
time.sleep(0.1)
if not state_is_off:
# *Hack* to avoid problems with historical events not being
| python | {
"resource": ""
} |
q17341 | main | train | def main():
"""Merge temp_main and main."""
# Parse command line args.
_parse_args()
LOG.info("Starting: %s", __service_id__)
# Subscribe to state change events.
# FIXME(BMo) This API is unfortunate as it looks like we are only
# subscribing to sdp_state events.
LOG.info('Subscribing to state change events (subscriber = %s)',
__service_name__)
sdp_state = SDPState()
| python | {
"resource": ""
} |
q17342 | main | train | def main():
"""Runs the test sender."""
stream_config = spead2.send.StreamConfig(
max_packet_size=16356, rate=1000e6, burst_size=10, max_heaps=1)
item_group = spead2.send.ItemGroup(flavour=spead2.Flavour(4, 64, 48, 0))
# Add item descriptors to the heap.
num_baselines = (512 * 513) // 2
dtype = [('TCI', 'i1'), ('FD', 'u1'), ('VIS', '<c8', 4)]
item_group.add_item(
id=0x6000, name='visibility_timestamp_count', description='',
shape=tuple(), format=None, dtype='<u4')
item_group.add_item(
id=0x6001, name='visibility_timestamp_fraction', description='',
shape=tuple(), format=None, dtype='<u4')
item_group.add_item(
id=0x6005, name='visibility_baseline_count', description='',
shape=tuple(), format=None, dtype='<u4')
item_group.add_item(
id=0x6008, name='scan_id', description='',
shape=tuple(), format=None, dtype='<u8')
item_group.add_item(
id=0x600A, name='correlator_output_data', description='',
shape=(num_baselines,), dtype=dtype)
# Create streams and send start-of-stream message.
streams = []
num_streams = 2
for i in range(num_streams):
stream = spead2.send.UdpStream(
thread_pool=spead2.ThreadPool(threads=1),
hostname='127.0.0.1', port=41000 + i, config=stream_config)
stream.send_heap(item_group.get_start())
streams.append(stream)
vis = numpy.zeros(shape=(num_baselines,), dtype=dtype)
num_heaps = 200
start_time = time.time()
for stream in streams:
| python | {
"resource": ""
} |
q17343 | Event.from_config | train | def from_config(cls, config: dict):
"""Create an event object from an event dictionary object.
Args:
config (dict): Event Configuration dictionary.
"""
timestamp = config.get('timestamp', None)
return cls(config.get('id'),
config.get('type'),
config.get('data', dict()),
config.get('origin', None),
| python | {
"resource": ""
} |
q17344 | process_input_data | train | def process_input_data(filename, imager, grid_data, grid_norm, grid_weights):
"""Reads visibility data from a Measurement Set.
The visibility grid or weights grid is updated accordingly.
Visibility data are read from disk in blocks of size num_baselines.
Args:
filename (str): Name of Measurement Set to open.
imager (oskar.Imager): Handle to configured imager.
grid_data (numpy.ndarray or None): Visibility grid to populate.
grid_norm (float) Current grid normalisation.
grid_weights (numpy.ndarray): Weights grid to populate or read.
Returns:
grid_norm (float): Updated grid normalisation.
"""
# Get data from the input Measurement Set.
ms = oskar.MeasurementSet.open(filename)
block_start = 0
num_rows = ms.num_rows
num_baselines = ms.num_stations * (ms.num_stations - 1) // 2
# Loop over data blocks of size num_baselines.
while block_start < num_rows:
block_size = num_rows - block_start
if block_size > num_baselines:
block_size = num_baselines
# Get the baseline coordinates. (Replace this with a query to LTS.)
uvw = ms.read_column('UVW', block_start, block_size)
# Read the Stokes-I visibility weights.
vis_weights = ms.read_column('WEIGHT', block_start, block_size)
if ms.num_pols == 4:
vis_weights = 0.5 * (vis_weights[:, 0] + vis_weights[:, 3])
| python | {
"resource": ""
} |
q17345 | get | train | def get():
"""Return list of Scheduling Blocks Instances known to SDP ."""
LOG.debug('GET list of SBIs.')
# Construct response object.
_url = get_root_url()
response = dict(scheduling_blocks=[],
links=dict(home='{}'.format(_url)))
# Get ordered list of SBI ID's.
block_ids = DB.get_sched_block_instance_ids()
# Loop over SBIs and add summary of each to the list of SBIs in the
# response.
for block in DB.get_block_details(block_ids):
block_id = block['id']
LOG.debug('Adding SBI %s to list', block_id)
LOG.debug(block)
block['num_processing_blocks'] = len(block['processing_block_ids'])
temp = ['OK'] * 10 | python | {
"resource": ""
} |
q17346 | get_table | train | def get_table():
"""Provides table of scheduling block instance metadata for use with AJAX
tables"""
response = dict(blocks=[])
block_ids = DB.get_sched_block_instance_ids()
for index, block_id in enumerate(block_ids):
block = DB.get_block_details([block_id]).__next__()
info = [
| python | {
"resource": ""
} |
q17347 | ConfigDB.set_value | train | def set_value(self, key, field, value):
"""Add the state of the key and field"""
| python | {
"resource": ""
} |
q17348 | ConfigDB.push_event | train | def push_event(self, event_name, event_type, block_id):
"""Push inserts all the specified values at the tail of the list
stored at the | python | {
"resource": ""
} |
q17349 | main | train | def main():
"""Task run method."""
# Install handler to respond to SIGTERM
signal.signal(signal.SIGTERM, _sig_handler)
with open(sys.argv[1]) as fh:
config = json.load(fh)
| python | {
"resource": ""
} |
q17350 | check_connection | train | def check_connection(func):
"""Check connection exceptions."""
@wraps(func)
def with_exception_handling(*args, **kwargs):
"""Wrap function being decorated."""
try:
return func(*args, **kwargs)
except redis.exceptions.ConnectionError:
raise ConnectionError("Unable to connect to the Redis "
"Configuration Database. host = {}, "
| python | {
"resource": ""
} |
q17351 | ConfigDb.save_dict | train | def save_dict(self, key: str, my_dict: dict, hierarchical: bool = False):
"""Store the specified dictionary at the specified key."""
for _key, _value in my_dict.items():
if isinstance(_value, dict):
if not hierarchical:
self._db.hmset(key, {_key: json.dumps(_value)})
else:
self.save_dict(key + ':' + _key, _value, hierarchical)
elif isinstance(_value, list):
if not hierarchical:
| python | {
"resource": ""
} |
q17352 | ConfigDb._build_dict | train | def _build_dict(my_dict, keys, values):
"""Build a dictionary from a set of redis hashes.
keys = ['a', 'b', 'c']
values = {'value': 'foo'}
my_dict = {'a': {'b': {'c': {'value': 'foo'}}}}
Args:
my_dict (dict): Dictionary to add to
keys (list[str]): List of keys used to define hierarchy in my_dict
values (dict): Values to add at to the dictionary at the key
specified by keys
Returns:
dict, new dictionary with values added at keys
"""
| python | {
"resource": ""
} |
q17353 | ConfigDb._load_values | train | def _load_values(self, db_key: str) -> dict:
"""Load values from the db at the specified key, db_key.
FIXME(BMo): Could also be extended to load scalar types (instead of
just list and hash)
"""
if self._db.type(db_key) == 'list':
db_values = self._db.lrange(db_key, 0, -1)
for i, value in enumerate(db_values):
try:
db_values[i] = ast.literal_eval(value)
except SyntaxError:
pass
except ValueError:
pass
else: # self._db.type == 'hash'
db_values = | python | {
"resource": ""
} |
q17354 | ConfigDb._load_dict_hierarchical | train | def _load_dict_hierarchical(self, db_key: str) -> dict:
"""Load a dictionary stored hierarchically at db_key."""
db_keys = self._db.keys(pattern=db_key + '*')
my_dict = {}
for _db_key in db_keys:
if self._db.type(_db_key) == 'list':
db_values = self._db.lrange(_db_key, 0, -1)
for i, value in enumerate(db_values):
try:
db_values[i] = ast.literal_eval(value)
except SyntaxError:
pass
except ValueError:
pass
else: # self._db.type == 'hash'
db_values = self._db.hgetall(_db_key)
| python | {
"resource": ""
} |
q17355 | ConfigDb.load_dict | train | def load_dict(self, db_key: str, hierarchical: bool = False) -> dict:
"""Load the dictionary at the specified key.
Hierarchically stored dictionaries use a ':' separator to expand
the dictionary into a set of Redis hashes.
Args:
db_key (str): Key at which the dictionary is stored in the db.
hierarchical (bool): If True, expect the dictionary to have been
stored hierarchically. If False, expect the dictionary to have
been stored flat.
Returns:
dict, the dictionary | python | {
"resource": ""
} |
q17356 | ConfigDb.load_dict_values | train | def load_dict_values(self, db_key: str, dict_keys: List[str],
hierarchical: bool = False) -> List:
"""Load values from a dictionary with the specified dict_keys.
Args:
db_key (str): Key where the dictionary is stored
dict_keys (List[str]): Keys within the dictionary to load.
hierarchical (bool): If True, expect the dictionary to have been
stored hierarchically. If False, expect the dictionary to have
been stored flat.
Returns:
object: The value stored at dict_key in the dictionary stored at
key
"""
result = []
if not hierarchical:
_values = self._db.hmget(db_key, *dict_keys)
result = [ast.literal_eval(_value) for _value in _values]
else:
# Get all keys in the set of keys for this dict 'db_key'
db_keys = self._db.keys(pattern=db_key + '*')
for _db_key in db_keys:
# Check if one of the dict_keys is an entire sub-dict entry
for name in _db_key.split(':')[1:]:
| python | {
"resource": ""
} |
q17357 | ConfigDb.set_hash_value | train | def set_hash_value(self, key, field, value, pipeline=False):
"""Set the value of field in a hash stored at key.
Args:
key (str): key (name) of the hash
field (str): Field within the hash to set
| python | {
"resource": ""
} |
q17358 | ConfigDb.prepend_to_list | train | def prepend_to_list(self, key, *value, pipeline=False):
"""Add new element to the start of the list stored at key.
Args:
key (str): Key where the list is stored
value: Value to add to the list
pipeline (bool): True, | python | {
"resource": ""
} |
q17359 | ConfigDb.append_to_list | train | def append_to_list(self, key, *value, pipeline=False):
"""Add new element to the end of the list stored at key.
Args:
key (str): Key where the list is stored
value: Value to add to the list
pipeline (bool): True, | python | {
"resource": ""
} |
q17360 | ConfigDb.get_list | train | def get_list(self, key, pipeline=False):
"""Get all the value in the list stored at key.
Args:
key (str): Key where the list is stored.
pipeline (bool): True, start a transaction block. Default false.
Returns:
list: values in the list ordered | python | {
"resource": ""
} |
q17361 | ConfigDb.delete | train | def delete(self, *names: str, pipeline=False):
"""Delete one or more keys specified by names.
Args:
names (str): Names of keys to delete
pipeline (bool): True, start a transaction block. Default false.
"""
| python | {
"resource": ""
} |
q17362 | ConfigDb.get_event | train | def get_event(self, event_name, event_history=None):
"""Get an event from the database.
Gets an event from the named event list removing the event and
adding it to the event history.
Args:
event_name (str): Event list key.
event_history (str, optional): Event history list.
| python | {
"resource": ""
} |
q17363 | ConfigDb.watch | train | def watch(self, key, pipeline=False):
"""Watch the given key.
Marks the given key to be watch for conditional execution
of a transaction.
Args:
key (str): Key that needs to be watched
pipeline | python | {
"resource": ""
} |
q17364 | ConfigDb.publish | train | def publish(self, channel, message, pipeline=False):
"""Post a message to a given channel.
Args:
channel (str): Channel where the message will be published
message (str): Message to publish
pipeline (bool): True, start a transaction block. | python | {
"resource": ""
} |
q17365 | MasterHealthCheck.get_services_health | train | def get_services_health(self) -> dict:
"""Get the health of all services.
Returns:
dict, services id and health status
"""
# Initialise
services_health = {}
# Get Service IDs
services_ids = self._get_services()
for service_id in services_ids: | python | {
"resource": ""
} |
q17366 | MasterHealthCheck.get_overall_services_health | train | def get_overall_services_health(self) -> str:
"""Get the overall health of all the services.
Returns:
str, overall health status
"""
services_health_status = self.get_services_health()
| python | {
"resource": ""
} |
q17367 | MasterHealthCheck.get_service_health | train | def get_service_health(service_id: str) -> str:
"""Get the health of a service using service_id.
Args:
service_id
Returns:
str, health status
"""
# Check if the current and actual replica levels are the same
| python | {
"resource": ""
} |
q17368 | get | train | def get():
"""Check the health of this service"""
uptime = time.time() - START_TIME
response = dict(uptime=f'{uptime:.2f}s',
links=dict(root='{}'.format(get_root_url())))
# TODO(BM) check if we can connect to the config database ...
# try:
# DB.get_sub_array_ids()
| python | {
"resource": ""
} |
q17369 | main | train | def main():
"""Main function for SPEAD receiver module."""
# Check command line arguments.
if len(sys.argv) < 2:
raise RuntimeError('Usage: python3 async_recv.py <json config>')
# Set up logging.
sip_logging.init_logger(show_thread=True)
# Load SPEAD configuration from JSON file.
# with open(sys.argv[-1]) as f:
# spead_config = json.load(f)
| python | {
"resource": ""
} |
q17370 | SpeadReceiver.process_buffer | train | def process_buffer(self, i_block, receive_buffer):
"""Blocking function to process the received heaps.
This is run in an executor.
"""
self._log.info("Worker thread processing block %i", i_block)
time_overall0 = time.time()
time_unpack = 0.0
time_write = 0.0
for i_heap, heap in enumerate(receive_buffer.result()):
# Skip and log any incomplete heaps.
if isinstance(heap, spead2.recv.IncompleteHeap):
self._log.info("Dropped incomplete heap %i", heap.cnt + 1)
continue
# Update the item group from this heap.
items = self._item_group.update(heap)
# Get the time and channel indices from the heap index.
i_chan = i_heap // self._num_buffer_times
i_time = i_heap % self._num_buffer_times
if 'correlator_output_data' in items:
vis_data = items['correlator_output_data'].value['VIS']
if self._block is None:
num_baselines = vis_data.shape[0]
num_pols = vis_data[0].shape[0]
self._block = numpy.zeros((self._num_buffer_times,
self._num_streams,
num_baselines),
dtype=('c8', num_pols))
self._block[:, :, :] = 0 # To make the copies faster.
# Unpack data from the heap into the block to be processed.
time_unpack0 = time.time()
self._block[i_time, i_chan, :] = vis_data
time_unpack += time.time() - time_unpack0
# Check the data for debugging!
| python | {
"resource": ""
} |
q17371 | SpeadReceiver.run | train | def run(self):
"""Starts the receiver."""
executor = concurrent.futures.ThreadPoolExecutor(max_workers=1)
loop = asyncio.get_event_loop()
| python | {
"resource": ""
} |
q17372 | PulsarStart.run | train | def run(self):
"""Start the FTP Server for pulsar search."""
self._log.info('Starting Pulsar Search Interface')
# Instantiate a dummy authorizer for managing 'virtual' users
authorizer = DummyAuthorizer()
# Define a new user having full r/w permissions and a read-only
# anonymous user
authorizer.add_user(self._config['login']['user'],
self._config['login']['psswd'], '.',
perm=self._config['login']['perm'])
authorizer.add_anonymous(os.getcwd())
# Instantiate FTP handler class
handler = FTPHandler
handler.authorizer = authorizer
handler.abstracted_fs = PulsarFileSystem
# Define a customized banner (string returned when | python | {
"resource": ""
} |
q17373 | WorkflowStage.status | train | def status(self) -> str:
"""Return the workflow stage status."""
# As status is a modifiable property, have to reload from the db.
| python | {
"resource": ""
} |
q17374 | WorkflowStage.status | train | def status(self, value):
"""Set the workflow stage status."""
# FIXME(BM) This is currently a hack because workflow stages
# don't each have their own db entry.
| python | {
"resource": ""
} |
q17375 | WorkflowStage._load_config | train | def _load_config(self):
"""Load the workflow stage config from the database."""
pb_key = SchedulingObject.get_key(PB_KEY, self._pb_id)
| python | {
"resource": ""
} |
q17376 | register_pb_devices | train | def register_pb_devices(num_pbs: int = 100):
"""Register PBs devices.
Note(BMo): Ideally we do not want to register any devices here. There
does not seem to be a way to create a device server with no registered
devices in Tango. This is (probably) because Tango devices must have been
registered before the server starts ...
"""
tango_db = Database()
LOG.info("Registering PB devices:")
dev_info = DbDevInfo() | python | {
"resource": ""
} |
q17377 | SchedulingBlockInstance.from_config | train | def from_config(cls, config_dict: dict, schema_path: str = None):
"""Create an SBI object from the specified configuration dict.
NOTE(BM) This should really be done as a single atomic db transaction.
Args:
config_dict(dict): SBI configuration dictionary
schema_path(str, optional): Path to the SBI config schema.
"""
# Validate the SBI config schema
if schema_path is None:
schema_path = join(dirname(__file__), 'schema',
'configure_sbi.json')
with open(schema_path, 'r') as file:
schema = json.loads(file.read())
validate(config_dict, schema)
# Add SBI status field
config_dict['status'] = 'created'
# Set the subarray field to None if not defined.
if 'subarray_id' not in config_dict:
config_dict['subarray_id'] = 'None'
# Add created, and updated timestamps.
timestamp = datetime.datetime.utcnow().isoformat()
config_dict['created'] = timestamp
config_dict['updated'] = timestamp
# Split out the processing block data array
pb_list = copy.deepcopy(config_dict['processing_blocks'])
# Remove processing blocks from the SBI configuration.
config_dict.pop('processing_blocks', None)
# Add list of PB ids to the SBI configuration
config_dict['processing_block_ids'] = []
| python | {
"resource": ""
} |
q17378 | SchedulingBlockInstance.get_pb_ids | train | def get_pb_ids(self) -> List[str]:
"""Return the list of PB ids associated with the SBI.
Returns:
list, Processing block ids
"""
values = | python | {
"resource": ""
} |
q17379 | SchedulingBlockInstance.get_id | train | def get_id(date=None, project: str = 'sip',
instance_id: int = None) -> str:
"""Get a SBI Identifier.
Args:
date (str or datetime.datetime, optional): UTC date of the SBI
project (str, optional ): Project Name
instance_id (int, optional): SBI instance identifier
Returns:
str, Scheduling Block Instance (SBI) ID.
"""
if date is None:
date = datetime.datetime.utcnow()
| python | {
"resource": ""
} |
q17380 | SchedulingBlockInstance._update_workflow_definition | train | def _update_workflow_definition(pb_config: dict):
"""Update the PB configuration workflow definition.
Args:
pb_config (dict): PB configuration dictionary
Raises:
RunTimeError, if the workflow definition (id, version)
specified in the sbi_config is not known.
"""
known_workflows = get_workflows()
workflow_id = pb_config['workflow']['id']
workflow_version = pb_config['workflow']['version']
if workflow_id not in known_workflows or \
workflow_version not in known_workflows[workflow_id]:
raise RuntimeError("Unknown workflow definition: {}:{}"
| python | {
"resource": ""
} |
q17381 | root | train | def root():
"""Placeholder root url for the PCI.
Ideally this should never be called!
"""
response = {
"links": {
"message": "Welcome to the SIP Processing Controller Interface",
"items": [
{"href": "{}health".format(request.url)},
| python | {
"resource": ""
} |
q17382 | generate_scheduling_block_id | train | def generate_scheduling_block_id(num_blocks, project='test'):
"""Generate a scheduling_block id"""
_date = strftime("%Y%m%d", gmtime())
_project = project
| python | {
"resource": ""
} |
q17383 | add_scheduling_block | train | def add_scheduling_block(config):
"""Adds a scheduling block to the database, returning a response object"""
try:
DB.add_sbi(config)
except jsonschema.ValidationError as error:
error_dict = error.__dict__
for key in error_dict:
error_dict[key] = error_dict[key].__str__()
error_response = dict(message="Failed to add scheduling block",
reason="JSON validation error",
details=error_dict)
return error_response, HTTPStatus.BAD_REQUEST
response = dict(config=config,
| python | {
"resource": ""
} |
q17384 | missing_db_response | train | def missing_db_response(func):
"""Decorator to check connection exceptions"""
@wraps(func)
def with_exception_handling(*args, **kwargs):
"""Wrapper to check for connection failures"""
try:
return func(*args, **kwargs)
except ConnectionError as error:
return (dict(error='Unable to connect to Configuration Db.',
| python | {
"resource": ""
} |
q17385 | main | train | def main():
"""Run the workflow task."""
log = logging.getLogger('sip.mock_workflow_stage')
if len(sys.argv) != 2:
log.critical('Expecting JSON string as first argument!')
return
config = json.loads(sys.argv[1])
log.info('Running mock_workflow_stage (version: %s).', __version__)
log.info('Received configuration: %s', json.dumps(config))
log.info('Starting task')
i = 0
start_time = time.time()
duration = config.get('duration', 20)
| python | {
"resource": ""
} |
q17386 | main | train | def main(sleep_length=0.1):
"""Log to stdout using python logging in a while loop"""
log = logging.getLogger('sip.examples.log_spammer')
log.info('Starting to spam log messages every %fs', sleep_length)
| python | {
"resource": ""
} |
q17387 | init_logging | train | def init_logging():
"""Initialise Python logging."""
fmt = '%(asctime)s.%(msecs)03d | %(name)-60s | %(levelname)-7s ' \
'| %(message)s'
| python | {
"resource": ""
} |
q17388 | get | train | def get(sub_array_id):
"""Sub array detail resource.
This method will list scheduling blocks and processing blocks
in the specified sub-array.
"""
if not re.match(r'^subarray-0[0-9]|subarray-1[0-5]$', sub_array_id):
response = dict(error='Invalid sub-array ID specified "{}" does not '
'match sub-array ID naming convention '
'(ie. subarray-[00-15]).'.
format(sub_array_id))
return response, HTTPStatus.BAD_REQUEST
if sub_array_id not in DB.get_sub_array_ids():
response = dict(error='Sub-array "{}" does not currently exist. '
'Known sub-arrays = {}'
| python | {
"resource": ""
} |
q17389 | get_scheduling_block | train | def get_scheduling_block(sub_array_id, block_id):
"""Return the list of scheduling blocks instances associated with the sub
array"""
block_ids = DB.get_sub_array_sbi_ids(sub_array_id)
if block_id in block_ids:
| python | {
"resource": ""
} |
q17390 | package_files | train | def package_files(directory):
"""Get list of data files to add to the package."""
paths = []
for (path, _, file_names) in walk(directory):
for filename | python | {
"resource": ""
} |
q17391 | register_master | train | def register_master():
"""Register the SDP Master device."""
tango_db = Database()
device = "sip_sdp/elt/master"
device_info = DbDevInfo()
device_info._class = "SDPMasterDevice"
device_info.server = "sdp_master_ds/1"
device_info.name = device
devices = tango_db.get_device_name(device_info.server, device_info._class)
| python | {
"resource": ""
} |
q17392 | main | train | def main(args=None, **kwargs):
"""Run the Tango SDP Master device server."""
LOG.info('Starting | python | {
"resource": ""
} |
q17393 | main | train | def main():
"""Main script function"""
# Create simulation object, and start streaming SPEAD heaps
sender = PulsarSender()
# Parse command line arguments
args = parse_command_line()
# Initialise logging.
_log = _init_log(level=logging.DEBUG if args.verbose | python | {
"resource": ""
} |
q17394 | CommonService.start_transport | train | def start_transport(self):
"""If a transport object has been defined then connect it now."""
if self.transport:
if self.transport.connect():
self.log.debug("Service successfully connected to transport layer")
else:
raise RuntimeError("Service could not connect to transport layer")
# direct all transport callbacks into the main queue
| python | {
"resource": ""
} |
q17395 | CommonService._transport_interceptor | train | def _transport_interceptor(self, callback):
"""Takes a callback function and returns a function that takes headers and
messages and places them on the main service queue."""
def add_item_to_queue(header, message):
queue_item = (
Priority.TRANSPORT,
next(
self._transport_interceptor_counter
), | python | {
"resource": ""
} |
q17396 | CommonService.extend_log | train | def extend_log(self, field, value):
"""A context wherein a specified extra field in log messages is populated
with a fixed value. This affects all log messages within the context."""
self.__log_extensions.append((field, value))
try:
yield
| python | {
"resource": ""
} |
q17397 | CommonService._log_send | train | def _log_send(self, logrecord):
"""Forward log records to the frontend."""
for field, value | python | {
"resource": ""
} |
q17398 | CommonService.__update_service_status | train | def __update_service_status(self, statuscode):
"""Set the internal status of the service object, and notify frontend."""
if self.__service_status != statuscode:
| python | {
"resource": ""
} |
q17399 | CommonService._set_name | train | def _set_name(self, name):
"""Set a new name for this service, and notify the frontend accordingly."""
self._service_name = name
| python | {
"resource": ""
} |
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