def validateinput():
"""
Parse the input config file (command line argument) and validate that the
parameters look okay
"""
logger.info('This is version {0} of the pipeline'.format(processMeerKAT.__version__))
# Get the name of the config file
args = config_parser.parse_args()
# Parse config file
taskvals, config = config_parser.parse_config(args['config'])
visname = va(taskvals, 'data', 'vis', str)
calcrefant = va(taskvals, 'crosscal', 'calcrefant', bool)
refant = va(taskvals, 'crosscal', 'refant', str)
fields = bookkeeping.get_field_ids(taskvals['fields'])
# Check if the reference antenna exists, and complain and quit if it doesn't
if not calcrefant:
refant = va(taskvals, 'crosscal', 'refant', str)
msmd.open(visname)
get_fields.check_refant(MS=visname, refant=refant, warn=False)
msmd.close()
msmd.done()
if not os.path.exists(visname):
raise IOError("Path to MS %s not found" % (visname))
def construct_from_config(self, config_filename):
"""
Read and parse the config file,
load the models and datasets
"""
config = parse_config(config_filename)
self.API_list = []
for API_name in config['API_list']:
API = import_module(API_name)
self.API_list.append(API)
self.names = config['names']
self.class_name_list = config['class_name_list']
self.num_classes = len(self.class_name_list)
self.class_name_lists = config['class_name_lists']
self.local_class_name_lists = config['local_class_name_lists']
self.class_ratio_list = config['class_ratio_list']
self.load(config['model_path_list'], config['data_path_list'])
self.full_label_space_mapping()
self.data_size = []
for name in self.names:
self.data_size.append(self.data_pool[name]['y_train'].shape[0])
self.full_data_size = sum(self.data_size)
self.model_weight = np.array(self.data_size) / self.full_data_size
print(self.data_size)
def main():
args = processMeerKAT.parse_args()
processMeerKAT.setup_logger(args.config,args.verbose)
msmd.open(args.MS)
dopol = args.dopol
refant = config_parser.parse_config(args.config)[0]['crosscal']['refant']
fields = get_fields(args.MS)
logger.info('[fields] section written to "{0}". Edit this section if you need to change field IDs (comma-seperated string for multiple IDs, not supported for calibrators).'.format(args.config))
npol = msmd.ncorrforpol()[0]
parang = 0
if 'phasecalfield' in fields:
parang = parang_coverage(args.MS, int(fields['phasecalfield'][1:-1])) #remove '' from field
if npol < 4:
logger.warn("Only {0} polarisations present in '{1}'. Any attempted polarisation calibration will fail, so setting dopol=False in [run] section of '{2}'.".format(npol,args.MS,args.config))
dopol = False
elif 0 < parang < 30:
logger.warn("Parallactic angle coverage is < 30 deg. Polarisation calibration will most likely fail, so setting dopol=False in [run] section of '{0}'.".format(args.config))
dopol = False
check_refant(args.MS, refant, args.config, warn=True)
threads = check_scans(args.MS,args.nodes,args.ntasks_per_node,dopol)
SPW = check_spw(args.config)
config_parser.overwrite_config(args.config, conf_dict={'dopol' : dopol}, conf_sec='run', sec_comment='# Internal variables for pipeline execution')
config_parser.overwrite_config(args.config, conf_dict=threads, conf_sec='slurm')
config_parser.overwrite_config(args.config, conf_dict=fields, conf_sec='fields')
config_parser.overwrite_config(args.config, conf_dict={'spw' : "'{0}'".format(SPW)}, conf_sec='crosscal')
msmd.done()
def get_config_kwargs(config,section,expected_keys):
"""Return kwargs from config section. Check section exists, and that all expected keys are present, otherwise raise KeyError.
Arguments:
----------
config : str
Path to config file.
section : str
Config section from which to extract kwargs.
expected_keys : list
List of expected keys.
Returns:
--------
kwargs : dict
Keyword arguments from this config section."""
config_dict = config_parser.parse_config(config)[0]
#Ensure section exists, otherwise raise KeyError
if section not in config_dict.keys():
raise KeyError("Config file '{0}' has no section [{1}]. Please insert section or build new config with [-B --build].".format(config,section))
kwargs = config_dict[section]
#Check for any unknown keys and display warning
unknown_keys = list(set(kwargs) - set(expected_keys))
if len(unknown_keys) > 0:
logger.warn("Unknown keys {0} present in section [{1}] in '{2}'.".format(unknown_keys,section,config))
#Check that expected keys are present, otherwise raise KeyError
missing_keys = list(set(expected_keys) - set(kwargs))
if len(missing_keys) > 0:
raise KeyError("Keys {0} missing from section [{1}] in '{2}'.".format(missing_keys,section,config))
return kwargs
def main():
log.basicConfig(format='[ %(levelname)s ] %(message)s',
level=log.INFO,
stream=sys.stdout)
args = build_parser()
log.info('Parsing configuration file')
machine_list = config_parser.parse_config(args.config)
client_list = []
log.info('Clients start executing')
for machine in machine_list:
client_list.append(
client_execution(machine, args.server_ip, args.server_login,
args.server_psw, args.ftp_dir, log))
log.info('Executor script is waiting for all experiments')
for client in client_list:
client.wait_all()
ftp_connection = ftplib.FTP(args.server_ip, args.server_login,
args.server_psw)
ftp_connection.cwd(args.ftp_dir)
table_format.join_tables(ftp_connection, "benchmark",
args.benchmark_result_table)
table_format.join_tables(ftp_connection, "accuracy_checker",
args.accuracy_checker_result_table)
ftp_connection.close()
def main():
# Get the name of the config file
args = config_parser.parse_args()
# Parse config file
taskvals, config = config_parser.parse_config(args['config'])
visname = va(taskvals, 'data', 'vis', str)
fields = bookkeeping.get_field_ids(taskvals['fields'])
calcrefant = va(taskvals, 'crosscal', 'calcrefant', bool, default=False)
# Calculate reference antenna
if calcrefant:
if len(fields.fluxfield.split(',')) > 1:
field = fields.fluxfield.split(',')[0]
else:
field = fields.fluxfield
refant, badants = get_ref_ant(visname, field)
# Overwrite config file with new refant
config_parser.overwrite_config(args['config'],
conf_sec='crosscal',
conf_dict={'refant': refant})
config_parser.overwrite_config(args['config'],
conf_sec='crosscal',
conf_dict={'badants': badants})
def test_parse_config(self):
file_config = "TEST = 'run'"
expected_config = {'TEST': 'run'}
with provide_file_at_root('parse.py', file_config):
out_config = parse_config('parse')
self.assertEquals(out_config, expected_config)
def start_analysis(project_pk):
config_params = config_parser.parse_config()
project, result_bucket_name, sample_mapping = setup(
project_pk, config_params)
print 'done with setup'
compute = googleapiclient.discovery.build('compute', 'v1')
launch_workers(compute, project, result_bucket_name, sample_mapping,
config_params)
def main(args, taskvals):
visname = va(taskvals, 'data', 'vis', str)
calcrefant = va(taskvals, 'crosscal', 'calcrefant', bool, default=False)
refant = va(taskvals, 'crosscal', 'refant', str, default='m005')
spw = va(taskvals, 'crosscal', 'spw', str, default='')
nspw = va(taskvals, 'crosscal', 'nspw', int, default='')
tasks = va(taskvals, 'slurm', 'ntasks_per_node', int)
preavg = va(taskvals, 'crosscal', 'chanbin', int, default=1)
include_crosshand = va(taskvals, 'run', 'dopol', bool, default=False)
createmms = va(taskvals, 'crosscal', 'createmms', bool, default=True)
# HPC Specific Configuration
known_hpc_path = os.path.dirname(SCRIPT_DIR) + "/known_hpc.cfg"
KNOWN_HPCS, HPC_CONFIG = config_parser.parse_config(known_hpc_path)
HPC_NAME = taskvals["run"]["hpc"]
HPC_NAME = HPC_NAME if HPC_NAME in KNOWN_HPCS.keys() else "unknown"
CPUS_PER_NODE_LIMIT = va(KNOWN_HPCS,
HPC_NAME,
"CPUS_PER_NODE_LIMIT".lower(),
dtype=int)
if nspw > 1:
casalog.setlogfile(
'logs/{SLURM_JOB_NAME}-{SLURM_ARRAY_JOB_ID}_{SLURM_ARRAY_TASK_ID}.casa'
.format(**os.environ))
else:
logfile = casalog.logfile()
casalog.setlogfile(
'logs/{SLURM_JOB_NAME}-{SLURM_JOB_ID}.casa'.format(**os.environ))
if ',' in spw:
low, high, unit, dirs = config_parser.parse_spw(args['config'])
spwname = '{0:.0f}~{1:.0f}MHz'.format(min(low), max(high))
else:
spwname = spw.replace('0:', '')
msmd.open(visname)
npol = msmd.ncorrforpol()[0]
if not include_crosshand and npol == 4:
npol = 2
CPUs = npol if tasks * npol <= CPUS_PER_NODE_LIMIT else 1 #hard-code for number of polarisations
mvis = do_partition(visname, spw, preavg, CPUs, include_crosshand,
createmms, spwname)
mvis = "'{0}'".format(mvis)
vis = "'{0}'".format(visname)
config_parser.overwrite_config(args['config'],
conf_sec='data',
conf_dict={'vis': mvis})
config_parser.overwrite_config(
args['config'],
conf_sec='run',
sec_comment='# Internal variables for pipeline execution',
conf_dict={'orig_vis': vis})
msmd.done()
def main():
args = sys.argv
if 1 >= len(args):
config_path = False
else:
config_path = args[1]
instances, configs = parse_config(config_path)
for i in instances:
print(i.instance_name)
def get_imaging_params():
# Get the name of the config file
args = config_parser.parse_args()
# Parse config file
taskvals, config = config_parser.parse_config(args['config'])
params = taskvals['image']
params['vis'] = taskvals['data']['vis']
return args, params
def run_script(func, logfile=''):
# Get the name of the config file
args = config_parser.parse_args()
# Parse config file
taskvals, config = config_parser.parse_config(args['config'])
continue_run = config_parser.validate_args(taskvals,
'run',
'continue',
bool,
default=True)
spw = config_parser.validate_args(taskvals, 'crosscal', 'spw', str)
nspw = config_parser.validate_args(taskvals, 'crosscal', 'nspw', int)
if continue_run:
try:
func(args, taskvals)
#rename_logs(logfile)
except Exception as err:
logger.error(
'Exception found in the pipeline of type {0}: {1}'.format(
type(err), err))
logger.error(traceback.format_exc())
config_parser.overwrite_config(
args['config'],
conf_dict={'continue': False},
conf_sec='run',
sec_comment='# Internal variables for pipeline execution')
if nspw > 1:
for SPW in spw.split(','):
spw_config = '{0}/{1}'.format(SPW.replace('0:', ''),
args['config'])
config_parser.overwrite_config(
spw_config,
conf_dict={'continue': False},
conf_sec='run',
sec_comment=
'# Internal variables for pipeline execution')
rename_logs(logfile)
sys.exit(1)
else:
logger.error(
'Exception found in previous pipeline job, which set "continue=False" in [run] section of "{0}". Skipping "{1}".'
.format(args['config'],
os.path.split(sys.argv[2])[1]))
#os.system('./killJobs.sh') # and cancelling remaining jobs (scancel not found since /opt overwritten)
rename_logs(logfile)
sys.exit(1)
def main():
args = processMeerKAT.parse_args()
msmd.open(args.MS)
refant = config_parser.parse_config(args.config)[0]['crosscal']['refant']
check_refant(args.MS, refant, warn=True)
threads = check_scans(args.MS,args.nodes,args.ntasks_per_node)
config_parser.overwrite_config(args.config, conf_dict=threads, conf_sec='slurm')
fields = get_fields(args.MS)
config_parser.overwrite_config(args.config, conf_dict=fields, conf_sec='fields')
logger.info('[fields] section written to "{0}". Edit this section to change field IDs (comma-seperated string for multiple IDs).'.format(args.config))
msmd.close()
msmd.done()
def main():
log.basicConfig(format='[ %(levelname)s ] %(message)s',
level=log.INFO,
stream=sys.stdout)
parser = build_parser()
log.info('Parsing config file')
machine_list = config_parser.parse_config(parser.config)
proc_watcher = pw()
proc_watcher.run_benchmark_on_all_machines(machine_list, parser.server_ip,
parser.server_login,
parser.server_psw)
log.info('Waiting all benchmarks')
proc_watcher.wait_all_benchmarks()
ftp_con = ftplib.FTP(parser.server_ip, parser.server_login,
parser.server_psw)
table_format.join_tables(ftp_con, parser.result_table)
ftp_con.close()
def main():
config = config_parser.parse_args()['config']
# Parse config file
taskvals, config = config_parser.parse_config(config)
visname = va(taskvals, 'data', 'vis', str)
keepmms = va(taskvals, 'crosscal', 'keepmms', bool)
calfiles, caldir = bookkeeping.bookkeeping(visname)
fields = bookkeeping.get_field_ids(taskvals['fields'])
msmd.open(visname)
if not os.path.exists(PLOT_DIR):
os.mkdir(PLOT_DIR)
#Plot solutions for bandpass calibrator
plotms(vis=calfiles.bpassfile, xaxis='Real', yaxis='Imag', coloraxis='corr', plotfile='{0}/bpass_real_imag.png'.format(PLOT_DIR),showgui=False)
plotms(vis=calfiles.bpassfile, xaxis='freq', yaxis='Amp', coloraxis='antenna1', plotfile='{0}/bpass_freq_amp.png'.format(PLOT_DIR),showgui=False)
plotms(vis=calfiles.bpassfile, xaxis='freq', yaxis='Phase', coloraxis='antenna1', plotfile='{0}/bpass_freq_phase.png'.format(PLOT_DIR),showgui=False)
#Plot solutions for phase calibrator
plotms(vis=calfiles.gainfile, xaxis='Real', yaxis='Imag', coloraxis='corr', plotfile='{0}/phasecal_real_imag.png'.format(PLOT_DIR),showgui=False)
plotms(vis=calfiles.gainfile, xaxis='Time', yaxis='Amp', coloraxis='antenna1', plotfile='{0}/phasecal_time_amp.png'.format(PLOT_DIR),showgui=False)
plotms(vis=calfiles.gainfile, xaxis='Time', yaxis='Phase', coloraxis='antenna1', plotfile='{0}/phasecal_time_phase.png'.format(PLOT_DIR),showgui=False)
#Plot solutions for individual antennas of bandpass and phase calibrator in 3x2 panels
plot_antennas('bpass',fields,calfiles,xaxis='freq',yaxis='amp')
plot_antennas('bpass',fields,calfiles,xaxis='freq',yaxis='phase')
plot_antennas('phasecal',fields,calfiles,xaxis='time',yaxis='amp')
plot_antennas('phasecal',fields,calfiles,xaxis='time',yaxis='phase')
extn = 'mms' if keepmms else 'ms'
for field in fields:
for subf in field.split(','):
fname = msmd.namesforfields(int(subf))[0]
inname = '%s.%s.%s' % (os.path.splitext(visname)[0], fname, extn)
if not os.path.exists('{0}/{1}_freq_amp.png'.format(PLOT_DIR,fname)):
plotms(vis=inname, xaxis='freq', yaxis='Amp', coloraxis='corr', plotfile='{0}/{1}_freq_amp.png'.format(PLOT_DIR,fname),showgui=False)
plotms(vis=inname, xaxis='Real', yaxis='Imag', coloraxis='corr', plotfile='{0}/{1}_real_imag.png'.format(PLOT_DIR,fname),showgui=False)
msmd.close()
msmd.done()
def main():
config = config_parser.parse_args()['config']
# Parse config file
taskvals, config = config_parser.parse_config(config)
visname = va(taskvals, 'data', 'vis', str)
calfiles, caldir = bookkeeping.bookkeeping(visname)
fields = bookkeeping.get_field_ids(taskvals['fields'])
#Plot solutions for bandpass calibrator
fastplot(calfiles.bpassfile,
col='CPARAM',
xaxis='Real',
yaxis='Imag',
fname='bpass_real_imag.png')
fastplot(calfiles.bpassfile,
col='CPARAM',
xaxis='chan',
yaxis='Amp',
logy=True,
fname='bpass_chan_amp.png')
fastplot(calfiles.bpassfile,
col='CPARAM',
xaxis='chan',
yaxis='Phase',
fname='bpass_chan_phase.png')
#Plot solutions for phase calibrator
fastplot(calfiles.gainfile,
col='CPARAM',
xaxis='Amp',
yaxis='Time',
fname='phasecal_time_amp.png',
markersize=2,
extent=1e-8)
fastplot(calfiles.gainfile,
col='CPARAM',
xaxis='Phase',
yaxis='Time',
fname='phasecal_time_phase.png',
markersize=2,
extent=1e-8)
def setup_logger(config,verbose=False):
"""Setup logger at debug or info level according to whether verbose option selected (via command line or config file).
Arguments:
----------
config : str
Path to config file.
verbose : bool
Verbose output? This will display all logger debug output."""
#Overwrite with verbose mode if set to True in config file
if not verbose:
config_dict = config_parser.parse_config(config)[0]
if 'slurm' in config_dict.keys() and 'verbose' in config_dict['slurm']:
verbose = config_dict['slurm']['verbose']
loglevel = logging.DEBUG if verbose else logging.INFO
logging.basicConfig(format="%(asctime)-15s %(levelname)s: %(message)s", level=loglevel)
def lamport(config_file, node_index):
nodes = parse_config(config_file)
clean_log(node_index)
node = LamportNode(nodes, node_index)
party = Party(len(nodes))
try:
party.start()
party.enter(node_index)
while party.is_alive():
sleep(0.1)
node.start()
print("Uploading log")
upload_log(node_index)
print("FIN")
except KeyboardInterrupt:
party.stop()
node.stop()
def main():
# Get the name of the config file
args = config_parser.parse_args()
# Parse config file
taskvals, config = config_parser.parse_config(args['config'])
visname = va(taskvals, 'data', 'vis', str)
calcrefant = va(taskvals, 'crosscal', 'calcrefant', bool, default=False)
refant = va(taskvals, 'crosscal', 'refant', str, default='m005')
spw = va(taskvals, 'crosscal', 'spw', str, default='')
mvis = do_partition(visname, spw)
mvis = "'{0}'".format(mvis)
vis = "'{0}'".format(visname)
config_parser.overwrite_config(args['config'],
conf_sec='data',
conf_dict={'vis': mvis})
config_parser.overwrite_config(args['config'],
conf_sec='data',
conf_dict={'orig_vis': vis})
import numpy as np
import os
import copy
from demos import demo_full
from lib import models, mesh_sampling
from lib.load_data import BodyData, load_graph_mtx
from config_parser import parse_config
from psbody.mesh import Mesh
args, args_dict = parse_config()
np.random.seed(args_dict['seed'])
project_dir = os.path.dirname(os.path.realpath(__file__))
reference_mesh_file = os.path.join(project_dir, 'data/template_mesh.obj')
reference_mesh = Mesh(filename=reference_mesh_file)
datadir_root = os.path.join(project_dir, 'data', 'datasets')
data_dir = os.path.join(datadir_root, args.dataset)
# load data for train and test
if args.mode in ['train', 'test']:
print("Loading data from {} ..".format(data_dir))
bodydata = BodyData(
nVal=100,
train_mesh_fn=data_dir + '/train/train_disp.npy',
train_cond1_fn=data_dir + '/train/train_{}.npy'.format(args.pose_type),
train_cond2_fn=data_dir + '/train/train_{}.npy'.format('clo_label'),
test_mesh_fn=data_dir + '/test/test_disp.npy',
test_cond1_fn=data_dir + '/test/test_{}.npy'.format(args.pose_type),
test_cond2_fn=data_dir + '/test/test_{}.npy'.format('clo_label'),
reference_mesh_file=reference_mesh_file)
#!/usr/bin/python
import sys
import io
import uuid
import config_parser
import os
DIR = os.path.dirname(os.path.realpath(__file__)) + "/../"
print "---- setup-config.py"
print "Generating config.ts..."
templatePath = DIR + "scripts/config.template.ts"
configPath = DIR + "config.ts"
config = config_parser.parse_config()
if config == None:
sys.exit(1)
prodPort = config["LISTEN_PORT"]
mqtt = config["LORA_BROKER"]
loraserver = config["LORA_API"]
print "* LoRaWAN mqtt server : " + mqtt
print "* Server port : " + str(prodPort)
secret = str(uuid.uuid1())
templateFile = open(templatePath, "r")
template = templateFile.read()
templateFile.close()
connections)
html = "node_1: " + str(nodes[int(node_1)][1]) + "<br>"
html += "node_2: " + str(nodes[int(node_2)][1]) + "<br>"
html += str([nodes[a][1] for a in x])
self.write(html)
application = tornado.web.Application([
(r"/", MainHandler),
(r"/openslice", OpenSliceHandler),
])
if __name__ == "__main__":
config = False
print "wow"
if config:
nodes, connections = config_parser.parse_config("config.txt")
else:
nodes, connections = get_graph.get_graph(daylight_ip, daylight_port,
user, passw)
hosts = get_graph.get_hosts(daylight_ip, daylight_port, user, passw, nodes)
print "Nodes: ", nodes
print "Connections: ", connections
print "Hosts: ", hosts
topology_commands.build_base_rules(daylight_ip, daylight_port, user, passw,
nodes, connections, hosts)
application.listen(8888)
tornado.ioloop.IOLoop.instance().start()
def run_experiment(config_path):
config = config_parser.parse_config("config", config_path)
random.seed(config["random_seed"] if "random_seed" in config else 123)
temp_model_path = config_path + ".model"
if "load" in config and config["load"] is not None and len(config["load"]) > 0:
model = WordPairClassifier.load(config["load"])
data_test = read_dataset(config["path_test"])
word2id = model.config["word2id"]
config = model.config
process_dataset(data_test, model, word2id, True, config, "test")
sys.exit()
data_train = read_dataset(config["path_train"])
data_dev = read_dataset(config["path_dev"])
data_test = read_dataset(config["path_test"])
data_pretrain = read_dataset(config["path_pretrain"]) if ("path_pretrain" in config and config["path_pretrain"] != None and len(config["path_pretrain"]) > 0) else []
embedding_vocab_set = construct_embedding_vocab([config["word_embedding_path_a"], config["word_embedding_path_b"]])
# if len(embedding_vocab_set) > 0 and len(data_pretrain) > 0:
# data_pretrain = [x for x in data_pretrain if (x[1] in embedding_vocab_set and x[2] in embedding_vocab_set)]
vocabulary = construct_vocabulary([data_train, data_dev, data_test, data_pretrain], embedding_vocab_set if config["restrict_to_embedded_vocab"] == True else None)
if "extend_vocabulary" in config and config["extend_vocabulary"] == True:
extend_vocabulary(vocabulary, config["word_embedding_path_a"], config["word_embedding_path_b"], "\t", True)
word2id = collections.OrderedDict()
for i in range(len(vocabulary)):
word2id[vocabulary[i]] = i
assert(len(word2id) == len(set(vocabulary)))
config["n_words"] = len(vocabulary)
config["word2id"] = word2id
config["feature_count"] = len(data_train[0][3])
model = WordPairClassifier(config)
load_embeddings_into_matrix(config["word_embedding_path_a"], model.word_embedding_matrix_A, word2id)
if config["late_fusion"] == True and config["word_embedding_size_b"] > 0 and config["word_embedding_path_b"] != None and len(config["word_embedding_path_b"]) > 0:
load_embeddings_into_matrix(config["word_embedding_path_b"], model.word_embedding_matrix_B, word2id)
for key, val in config.items():
if key not in ["word2id"]:
print(str(key) + ": " + str(val))
if len(data_pretrain) > 0:
for epoch in range(config["pretrain_epochs"]):
print("pretrain_epoch: " + str(epoch))
results_pretrain = process_dataset(data_pretrain, model, word2id, False, True, config, "pretrain")
best_score = 0.0
for epoch in range(config["epochs"]):
print("epoch: " + str(epoch))
results_train = process_dataset(data_train, model, word2id, False, False, config, "train")
results_dev = process_dataset(data_dev, model, word2id, True, False, config, "dev")
score_dev = results_dev[config["model_selector"]]
if epoch == 0 or score_dev > best_score:
best_epoch = epoch
best_score = score_dev
model.save(temp_model_path)
print("best_epoch: " + str(best_epoch))
print("best_measure: " + str(best_score))
if config["stop_if_no_improvement_for_epochs"] > 0 and (epoch - best_epoch) >= config["stop_if_no_improvement_for_epochs"]:
break
if os.path.isfile(temp_model_path):
model = WordPairClassifier.load(temp_model_path)
os.remove(temp_model_path)
if "save" in config and config["save"] is not None and len(config["save"]) > 0:
model.save(config["save"])
score_dev = process_dataset(data_dev, model, word2id, True, False, config, "dev_final")
score_test = process_dataset(data_test, model, word2id, True, False, config, "test")
def write_spw_master(filename,config,SPWs,precal_scripts,postcal_scripts,submit,dir='jobScripts',pad_length=5,dependencies='',timestamp='',slurm_kwargs={}):
"""Write master master script, which separately calls each of the master scripts in each SPW directory.
filename : str
Name of master pipeline submission script.
config : str
Path to config file.
SPWs : str
Comma-separated list of spw ranges.
precal_scripts : list, optional
List of sbatch scripts to call in order, before running pipeline in SPW directories.
postcal_scripts : list, optional
List of sbatch scripts to call in order, after running pipeline in SPW directories.
submit : bool, optional
Submit jobs to SLURM queue immediately?
dir : str, optional
Name of directory to output ancillary job scripts.
pad_length : int, optional
Length to pad the SLURM sacct output columns.
dependencies : str, optional
Comma-separated list of SLURM job dependencies.
timestamp : str, optional
Timestamp to put on this run and related runs in SPW directories.
slurm_kwargs : list, optional
Parameters parsed from [slurm] section of config."""
master = open(filename,'w')
master.write('#!/bin/bash\n')
SPWs = SPWs.replace('0:','')
toplevel = len(precal_scripts + postcal_scripts) > 0
scripts = precal_scripts[:]
if len(scripts) > 0:
command = 'sbatch'
if dependencies != '':
master.write('\n#Run after these dependencies\nDep={0}\n'.format(dependencies))
command += ' -d afterok:$Dep --kill-on-invalid-dep=yes'
dependencies = '' #Remove dependencies so it isn't fed into launching SPW scripts
master.write('\n#{0}\n'.format(scripts[0]))
master.write("allSPWIDs=$({0} {1} | cut -d ' ' -f4)\n".format(command,scripts[0]))
scripts.pop(0)
for script in scripts:
command = 'sbatch -d afterok:$allSPWIDs --kill-on-invalid-dep=yes'
master.write('\n#{0}\n'.format(script))
master.write("allSPWIDs+=,$({0} {1} | cut -d ' ' -f4)\n".format(command,script))
if 'calc_refant.sbatch' in precal_scripts:
master.write('echo Calculating reference antenna, and copying result to SPW directories.\n')
if 'partition.sbatch' in precal_scripts:
master.write('echo Running partition job array, iterating over {0} SPWs.\n'.format(len(SPWs.split(','))))
partition = len(precal_scripts) > 0 and 'partition' in precal_scripts[-1]
if partition:
master.write('\npartitionID=$(echo $allSPWIDs | cut -d , -f{0})\n'.format(len(precal_scripts)))
#Add time as extn to this pipeline run, to give unique filenames
killScript = 'killJobs'
summaryScript = 'summary'
fullSummaryScript = 'fullSummary'
errorScript = 'findErrors'
timingScript = 'displayTimes'
cleanupScript = 'cleanup'
master.write('\n#Add time as extn to this pipeline run, to give unique filenames')
master.write("\nDATE={0}\n".format(timestamp))
master.write('mkdir -p {0}\n'.format(dir))
master.write('mkdir -p {0}\n\n'.format(globals.LOG_DIR))
extn = '_$DATE.sh'
for i,spw in enumerate(SPWs.split(',')):
master.write('echo Running pipeline in directory "{0}" for spectral window 0:{0}\n'.format(spw))
master.write('cd {0}\n'.format(spw))
master.write('output=$({0} --config ./{1} --run --submit --quiet'.format(os.path.split(globals.THIS_PROG)[1],config))
if partition:
master.write(' --dependencies=$partitionID\_{0}'.format(i))
elif len(precal_scripts) > 0:
master.write(' --dependencies=$allSPWIDs')
elif dependencies != '':
master.write(' --dependencies={0}'.format(dependencies))
master.write(')\necho $output\n')
if i == 0:
master.write("IDs=$(echo $output | cut -d ' ' -f7)")
else:
master.write("IDs+=,$(echo $output | cut -d ' ' -f7)")
master.write('\ncd ..\n\n')
if 'concat.sbatch' in postcal_scripts:
master.write('echo Will concatenate MSs/MMSs and create quick-look continuum cube across all SPWs for all fields from \"{0}\".\n'.format(config))
scripts = postcal_scripts[:]
#Hack to perform correct number of selfcal loops
if 'selfcal_part1.sbatch' in scripts and 'selfcal_part2.sbatch' in scripts and 'run_bdsf.sbatch' in scripts and 'make_pixmask.sbatch' in scripts:
selfcal_loops = config_parser.parse_config(config)[0]['selfcal']['nloops']
scripts.extend(['selfcal_part1.sbatch','selfcal_part2.sbatch','run_bdsf.sbatch','make_pixmask.sbatch']*(selfcal_loops))
scripts.append('selfcal_part1.sbatch')
if len(scripts) > 0:
command = 'sbatch -d afterany:$IDs {0}'.format(scripts[0])
master.write('\n#{0}\n'.format(scripts[0]))
scripts.pop(0)
if len(precal_scripts) == 0:
master.write("allSPWIDs=$({0} | cut -d ' ' -f4)\n".format(command))
else:
master.write("allSPWIDs+=,$({0} | cut -d ' ' -f4)\n".format(command))
for script in scripts:
command = 'sbatch -d afterok:$allSPWIDs'
master.write('\n#{0}\n'.format(script))
master.write("allSPWIDs+=,$({0} {1} | cut -d ' ' -f4)\n".format(command,script))
master.write('\necho Submitted the following jobIDs within the {0} SPW directories: $IDs\n'.format(len(SPWs.split(','))))
prefix = ''
#Write bash job scripts for the jobs run in this top level directory
if toplevel:
master.write('\necho Submitted the following jobIDs over all SPWs: $allSPWIDs\n')
master.write('\necho For jobs over all SPWs:\n')
prefix = 'allSPW_'
write_all_bash_jobs_scripts(master,extn,IDs='allSPWIDs',dir=dir,prefix=prefix,pad_length=pad_length,slurm_kwargs=slurm_kwargs)
master.write('\nln -f -s {1}{2}{3} {0}/{1}{4}{3}\n'.format(dir,prefix,summaryScript,extn,fullSummaryScript))
master.write('\necho For all jobs within the {0} SPW directories:\n'.format(len(SPWs.split(','))))
header = '-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------' + '-'*pad_length
do = """echo "for f in {%s,}; do if [ -d \$f ]; then cd \$f; ./%s/%s%s; cd ..; else echo Directory \$f doesn\\'t exist; fi; done;%s"""
suffix = '' if toplevel else ' \"'
write_bash_job_script(master, killScript, extn, do % (SPWs,dir,killScript,extn,suffix), 'kill all the jobs', dir=dir,prefix=prefix)
write_bash_job_script(master, cleanupScript, extn, do % (SPWs,dir,cleanupScript,extn,' \"'), 'remove the MMSs/MSs within SPW directories \(after pipeline has run\), while leaving the concatenated data at the top level', dir=dir)
do = """echo "counter=1; for f in {%s,}; do echo -n SPW \#\$counter:; echo -n ' '; if [ -d \$f ]; then cd \$f; pwd; ./%s/%s%s %s; cd ..; else echo Directory \$f doesn\\'t exist; fi; counter=\$((counter+1)); echo '%s'; done; """
if toplevel:
do += "echo -n 'All SPWs: '; pwd; "
else:
do += ' \"'
write_bash_job_script(master, summaryScript, extn, do % (SPWs,dir,summaryScript,extn,"| grep -v 'PENDING\|COMPLETED'",header), 'view the progress \(for running or failed jobs\)', dir=dir,prefix=prefix)
write_bash_job_script(master, fullSummaryScript, extn, do % (SPWs,dir,summaryScript,extn,'',header), 'view the progress \(for all jobs\)', dir=dir,prefix=prefix)
header = '------------------------------------------------------------------------------------------' + '-'*pad_length
write_bash_job_script(master, errorScript, extn, do % (SPWs,dir,errorScript,extn,'',header), 'find errors \(after pipeline has run\)', dir=dir,prefix=prefix)
write_bash_job_script(master, timingScript, extn, do % (SPWs,dir,timingScript,extn,'',header), 'display start and end timestamps \(after pipeline has run\)', dir=dir,prefix=prefix)
#Close master submission script and make executable
master.close()
os.chmod(filename, 509)
#Submit script or output that it will not run
if submit:
logger.logger.info('Running master script "{0}"'.format(filename))
os.system('./{0}'.format(filename))
else:
logger.logger.info('Master script "{0}" written, but will not run.'.format(filename))
from mailer import Mailer
from mod_auth.controllers import mod_auth
from mod_ci.controllers import mod_ci
from mod_customized.controllers import mod_customized
from mod_deploy.controllers import mod_deploy
from mod_home.controllers import mod_home
from mod_regression.controllers import mod_regression
from mod_sample.controllers import mod_sample
from mod_test.controllers import mod_test
from mod_upload.controllers import mod_upload
app = Flask(__name__)
app.wsgi_app = ProxyFix(app.wsgi_app) # type: ignore
# Load config
try:
config = parse_config('config')
except ImportStringError:
traceback.print_exc()
raise MissingConfigError()
app.config.from_mapping(config)
try:
app.config['DEBUG'] = os.environ['DEBUG']
except KeyError:
app.config['DEBUG'] = False
# embed flask-migrate in the app itself
try:
app.config['SQLALCHEMY_DATABASE_URI'] = app.config['DATABASE_URI']
Migrate(app, Base)
except KeyError:
import config_parser
from db_connection import OverView_db
#config
args = config_parser.parse_arguments()
config = config_parser.parse_config(args.config)
overview_db = OverView_db(config['overview'])
post_1 = {
"path_to_image": "imgs/adelaide-canola-flowers.jpg",
"post_text": "Chicago is the most populous city...",
"post_header": "Chicago and Lake Michigan",
"coordinates": "41.881944°, -87.627778°",
"posted": "FALSE",
"epoch_id": 123
# "link" : "https://www.over-view.com/overviews/adelaide-canola-flowers"
}
if __name__ == '__main__':
overview_db.add_post(post_1)
print(overview_db.count_posts())
#overview_db.delete_all_posts()
"node":b["edge"]["tailNodeConnector"]["node"]["id"],
"ingressPort":b["edge"]["tailNodeConnector"]["id"],
"priority":"100",
"etherType":"0x0800",
"actions":["HW_PATH"]
}
url = 'http://' + str(daylight_ip) + ":" + str(daylight_port) + '/controller/nb/v2/flowprogrammer/default/node/OF/' + str(input_flow["node"]) + "/staticFlow/" + str(input_flow["name"])
resp, content = h.request(url,"PUT", body=str(json.dumps(input_flow)), headers={'content-type':'application/json'} )
if a[0] == b["edge"]["headNodeConnector"]["node"]["id"]:
input_flow = {
"name":"normal_"+b["edge"]["headNodeConnector"]["id"],
"node":b["edge"]["headNodeConnector"]["node"]["id"],
"ingressPort":b["edge"]["headNodeConnector"]["id"],
"priority":"100",
"etherType":"0x0800",
"actions":["HW_PATH"]
}
url = 'http://' + str(daylight_ip) + ":" + str(daylight_port) + '/controller/nb/v2/flowprogrammer/default/node/OF/' + str(input_flow["node"]) + "/staticFlow/" + str(input_flow["name"])
resp, content = h.request(url,"PUT", body=str(json.dumps(input_flow)), headers={'content-type':'application/json'} )
if __name__ == "__main__":
import config_parser
nodes,connections = config_parser.parse_config("config.txt")
x = build_slice(nodes[0],nodes[2],nodes,connections)
print x
names = [nodes[a][1] for a in x]
print names
def write_master(filename,config,scripts=[],submit=False,dir='jobScripts',pad_length=5,verbose=False, echo=True, dependencies='',slurm_kwargs={}):
"""Write master pipeline submission script, calling various sbatch files, and writing ancillary job scripts.
Arguments:
----------
filename : str
Name of master pipeline submission script.
config : str
Path to config file.
scripts : list, optional
List of sbatch scripts to call in order.
submit : bool, optional
Submit jobs to SLURM queue immediately?
dir : str, optional
Name of directory to output ancillary job scripts.
pad_length : int, optional
Length to pad the SLURM sacct output columns.
verbose : bool, optional
Verbose output (inserted into master script)?
echo : bool, optional
Echo the pupose of each job script for the user?
dependencies : str, optional
Comma-separated list of SLURM job dependencies.
slurm_kwargs : list, optional
Parameters parsed from [slurm] section of config."""
master = open(filename,'w')
master.write('#!/bin/bash\n')
timestamp = config_parser.get_key(config,'run','timestamp')
if timestamp == '':
timestamp = datetime.now().strftime("%Y-%m-%d-%H-%M-%S")
config_parser.overwrite_config(config, conf_dict={'timestamp' : "'{0}'".format(timestamp)}, conf_sec='run', sec_comment='# Internal variables for pipeline execution')
#Copy config file to TMP_CONFIG and inform user
if verbose:
master.write("\necho Copying \'{0}\' to \'{1}\', and using this to run pipeline.\n".format(config,globals.TMP_CONFIG))
master.write('cp {0} {1}\n'.format(config, TMP_CONFIG))
#Hack to perform correct number of selfcal loops
if 'selfcal_part1.sbatch' in scripts and 'selfcal_part2.sbatch' in scripts and 'run_bdsf.sbatch' in scripts and 'make_pixmask.sbatch' in scripts:
selfcal_loops = config_parser.parse_config(config)[0]['selfcal']['nloops']
scripts.extend(['selfcal_part1.sbatch','selfcal_part2.sbatch','run_bdsf.sbatch','make_pixmask.sbatch']*(selfcal_loops))
scripts.append('selfcal_part1.sbatch')
command = 'sbatch'
if dependencies != '':
master.write('\n#Run after these dependencies\nDep={0}\n'.format(dependencies))
command += ' -d afterok:$Dep --kill-on-invalid-dep=yes'
master.write('\n#{0}\n'.format(scripts[0]))
if verbose:
master.write('echo Submitting {0} SLURM queue with following command:\necho {1}\n'.format(scripts[0],command))
master.write("IDs=$({0} {1} | cut -d ' ' -f4)\n".format(command,scripts[0]))
scripts.pop(0)
#Submit each script with dependency on all previous scripts, and extract job IDs
for script in scripts:
command = 'sbatch -d afterok:$IDs --kill-on-invalid-dep=yes'
master.write('\n#{0}\n'.format(script))
if verbose:
master.write('echo Submitting {0} SLURM queue with following command\necho {1} {0}\n'.format(script,command))
master.write("IDs+=,$({0} {1} | cut -d ' ' -f4)\n".format(command,script))
master.write('\n#Output message and create {0} directory\n'.format(dir))
master.write('echo Submitted sbatch jobs with following IDs: $IDs\n')
master.write('mkdir -p {0}\n'.format(dir))
#Add time as extn to this pipeline run, to give unique filenames
master.write('\n#Add time as extn to this pipeline run, to give unique filenames')
master.write("\nDATE={0}".format(timestamp))
extn = '_$DATE.sh'
#Copy contents of config file to jobScripts directory
master.write('\n#Copy contents of config file to {0} directory\n'.format(dir))
master.write('cp {0} {1}/{2}_$DATE.txt\n'.format(config,dir,os.path.splitext(config)[0]))
#Write each job script - kill script, summary script, error script, and timing script
write_all_bash_jobs_scripts(master,extn,IDs='IDs',dir=dir,echo=echo,pad_length=pad_length,slurm_kwargs=slurm_kwargs)
#Close master submission script and make executable
master.close()
os.chmod(filename, 509)
#Submit script or output that it will not run
if submit:
if echo:
logger.logger.info('Running master script "{0}"'.format(filename))
os.system('./{0}'.format(filename))
else:
logger.logger.info('Master script "{0}" written, but will not run.'.format(filename))
from log_configuration import LogConfiguration
from mailer import Mailer
from mod_auth.controllers import mod_auth
from mod_ci.controllers import mod_ci
from mod_deploy.controllers import mod_deploy
from mod_home.controllers import mod_home
from mod_regression.controllers import mod_regression
from mod_sample.controllers import mod_sample
from mod_test.controllers import mod_test
from mod_upload.controllers import mod_upload
from mod_customized.controllers import mod_customized
app = Flask(__name__)
app.wsgi_app = ProxyFix(app.wsgi_app)
# Load config
config = parse_config('config')
app.config.from_mapping(config)
try:
app.config['DEBUG'] = os.environ['DEBUG']
except KeyError:
app.config['DEBUG'] = False
# Init logger
log_configuration = LogConfiguration(app.root_path, 'platform', app.config['DEBUG'])
log = log_configuration.create_logger("Platform")
def install_secret_keys(application, secret_session='secret_key', secret_csrf='secret_csrf'):
"""
Configure the SECRET_KEY from a file in the instance directory.
def main():
# Parse Arguments
args = processMeerKAT.parse_args()
processMeerKAT.setup_logger(args.config, args.verbose)
# Read in known_hpc and HPC_DEFAULTS from configuration file.
known_hpc_path = "{0}/{1}".format(os.path.dirname(__file__),
"known_hpc.cfg")
if os.path.isfile(known_hpc_path):
KNOWN_HPCS, _ = config_parser.parse_config(known_hpc_path)
else:
parser.error(
"Known HPC config file ({0}) not found.".format(known_hpc_path))
global HPC_DEFAULTS
HPC_DEFAULTS = KNOWN_HPCS[args.hpc if args.hpc in
KNOWN_HPCS.keys() else "unknown"]
# Open Measurement Set
msmd.open(args.MS)
dopol = args.dopol
refant = config_parser.parse_config(args.config)[0]['crosscal']['refant']
fields = get_fields(args.MS)
logger.info(
'[fields] section written to "{0}". Edit this section if you need to change field IDs (comma-seperated string for multiple IDs, not supported for calibrators).'
.format(args.config))
npol = msmd.ncorrforpol()[0]
parang = 0
if 'phasecalfield' in fields:
calfield = msmd.fieldsforname(fields['phasecalfield'][1:-1])[
0] #remove '' from field and convert to int
parang = parang_coverage(args.MS, calfield)
if npol < 4:
logger.warning(
"Only {0} polarisations present in '{1}'. Any attempted polarisation calibration will fail, so setting dopol=False in [run] section of '{2}'."
.format(npol, args.MS, args.config))
dopol = False
elif 0 < parang < 30:
logger.warning(
"Parallactic angle coverage is < 30 deg. Polarisation calibration will most likely fail, so setting dopol=False in [run] section of '{0}'."
.format(args.config))
dopol = False
check_refant(args.MS, refant, args.config, warn=True)
threads = check_scans(args.MS, args.nodes, args.ntasks_per_node, dopol)
SPW = check_spw(args.config)
config_parser.overwrite_config(
args.config,
conf_dict={'dopol': dopol},
conf_sec='run',
sec_comment='# Internal variables for pipeline execution')
config_parser.overwrite_config(args.config,
conf_dict=threads,
conf_sec='slurm')
config_parser.overwrite_config(args.config,
conf_dict=fields,
conf_sec='fields')
config_parser.overwrite_config(args.config,
conf_dict={'spw': "'{0}'".format(SPW)},
conf_sec='crosscal')
msmd.done()
overwrite=True, writeflags=True)
# now flag using 'rflag' option
flagdata(vis=visname, mode="rflag", datacolumn="corrected",
field=fields.targetfield, timecutoff=5.0, freqcutoff=5.0, timefit="poly",
freqfit="poly", flagdimension="freqtime", extendflags=False,
timedevscale=5.0, freqdevscale=5.0, spectralmax=500.0,
extendpols=False, growaround=False, flagneartime=False,
flagnearfreq=False, action="apply", flagbackup=True, overwrite=True,
writeflags=True)
# Now summary
flagdata(vis=visname, mode="summary", datacolumn="corrected",
extendflags=True, name=visname + 'summary.split', action="apply",
flagbackup=True, overwrite=True, writeflags=True)
if __name__ == '__main__':
# Get the name of the config file
args = config_parser.parse_args()
# Parse config file
taskvals, config = config_parser.parse_config(args['config'])
visname = va(taskvals, 'data', 'vis', str)
calfiles, caldir = bookkeeping.bookkeeping(visname)
fields = bookkeeping.get_field_ids(taskvals['fields'])
do_pre_flag_2(visname, fields)
def get_selfcal_params():
#Flag for input errors
exit = False
# Get the name of the config file
args = config_parser.parse_args()
# Parse config file
taskvals, config = config_parser.parse_config(args['config'])
params = taskvals['selfcal']
check_params = params.keys()
check_params.pop(check_params.index('nloops'))
check_params.pop(check_params.index('restart_no'))
params['vis'] = taskvals['data']['vis']
params['refant'] = taskvals['crosscal']['refant']
if 'loop' not in params:
params['loop'] = 0
else:
check_params.pop(check_params.index('loop'))
for arg in check_params:
# Multiscale needs to be a list of lists (if specifying multiple scales)
# or a simple list (if specifying a single scale). So make sure these two
# cases are covered. Likewise for imsize.
if arg in ['multiscale', 'imsize']:
# Not a list of lists, so turn it into one of right length
if type(params[arg]) is list and (len(params[arg]) == 0 or type(
params[arg][0]) is not list):
params[arg] = [
params[arg],
] * (params['nloops'] + 1)
# Not a list at all, so put it into a list
elif type(params[arg]) is not list:
params[arg] = [
[
params[arg],
],
] * (params['nloops'] + 1)
# A list of lists of length 1, so put into list of lists of right length
elif type(params[arg]) is list and type(
params[arg][0]) is list and len(params[arg]) == 1:
params[arg] = [
params[arg][0],
] * (params['nloops'] + 1)
if len(params[arg]) != params['nloops'] + 1:
logger.error(
"Parameter '{0}' in '{1}' is the wrong length. It is {2} but must be a single value or equal to 'nloops' + 1 ({3})."
.format(arg, args['config'], len(params[arg]),
params['nloops'] + 1))
exit = True
else:
if type(params[arg]) is not list:
if arg in ['solint', 'calmode']:
params[arg] = [params[arg]] * (params['nloops'])
else:
params[arg] = [params[arg]] * (params['nloops'] + 1)
if arg in ['solint', 'calmode'
] and len(params[arg]) != params['nloops']:
logger.error(
"Parameter '{0}' in '{1}' is the wrong length. It is {2} long but must be 'nloops' ({3}) long or a single value (not a list)."
.format(arg, args['config'], len(params[arg]),
params['nloops']))
exit = True
elif arg not in ['solint', 'calmode'
] and len(params[arg]) != params['nloops'] + 1:
logger.error(
"Parameter '{0}' in '{1}' is the wrong length. It is {2} long but must 'nloops' + 1 ({3}) long or a single value (not a list)."
.format(arg, args['config'], len(params[arg]),
params['nloops'] + 1))
exit = True
if exit:
sys.exit(1)
return args, params
