def slurm(ctx, alloc, memory, walltime, feature, conda_env, module,
stdout_path):
"""slurm (Eagle) submission tool for reV representative profiles."""
name = ctx.obj['NAME']
gen_fpath = ctx.obj['GEN_FPATH']
rev_summary = ctx.obj['REV_SUMMARY']
reg_cols = ctx.obj['REG_COLS']
cf_dset = ctx.obj['CF_DSET']
rep_method = ctx.obj['REP_METHOD']
err_method = ctx.obj['ERR_METHOD']
weight = ctx.obj['WEIGHT']
n_profiles = ctx.obj['N_PROFILES']
out_dir = ctx.obj['OUT_DIR']
log_dir = ctx.obj['LOG_DIR']
max_workers = ctx.obj['MAX_WORKERS']
aggregate_profiles = ctx.obj['AGGREGATE_PROFILES']
verbose = ctx.obj['VERBOSE']
if stdout_path is None:
stdout_path = os.path.join(log_dir, 'stdout/')
cmd = get_node_cmd(name, gen_fpath, rev_summary, reg_cols, cf_dset,
rep_method, err_method, weight, n_profiles, out_dir,
log_dir, max_workers, aggregate_profiles, verbose)
status = Status.retrieve_job_status(out_dir, 'rep-profiles', name)
if status == 'successful':
msg = ('Job "{}" is successful in status json found in "{}", '
'not re-running.'.format(name, out_dir))
else:
logger.info('Running reV SC rep profiles on SLURM with '
'node name "{}"'.format(name))
slurm = SLURM(cmd,
alloc=alloc,
memory=memory,
walltime=walltime,
feature=feature,
name=name,
stdout_path=stdout_path,
conda_env=conda_env,
module=module)
if slurm.id:
msg = ('Kicked off reV rep profiles job "{}" '
'(SLURM jobid #{}).'.format(name, slurm.id))
Status.add_job(out_dir,
'rep-profiles',
name,
replace=True,
job_attrs={
'job_id': slurm.id,
'hardware': 'eagle',
'fout': '{}.h5'.format(name),
'dirout': out_dir
})
else:
msg = ('Was unable to kick off reV rep profiles job "{}". '
'Please see the stdout error messages'.format(name))
click.echo(msg)
logger.info(msg)
def from_config(ctx, config_file, verbose):
"""Run reV gen from a config file."""
name = ctx.obj['NAME']
# Instantiate the config object
config = MultiYearConfig(config_file)
# take name from config if not default
if config.name.lower() != 'rev':
name = config.name
ctx.obj['NAME'] = name
# Enforce verbosity if logging level is specified in the config
if config.log_level == logging.DEBUG:
verbose = True
# make output directory if does not exist
if not os.path.exists(config.dirout):
os.makedirs(config.dirout)
# initialize loggers.
init_mult(name, config.logdir, modules=[__name__, 'reV'], verbose=verbose)
# Initial log statements
logger.info(
'Running reV multi-year from config file: "{}"'.format(config_file))
logger.info('Target output directory: "{}"'.format(config.dirout))
logger.info('Target logging directory: "{}"'.format(config.logdir))
ctx.obj['MY_FILE'] = config.my_file
if config.execution_control.option == 'local':
ctx.obj['NAME'] = name
status = Status.retrieve_job_status(config.dirout, 'multi-year', name)
if status != 'successful':
Status.add_job(config.dirout,
'multi-year',
name,
replace=True,
job_attrs={
'hardware': 'local',
'fout': ctx.obj['MY_FILE'],
'dirout': config.dirout
})
group_params = json.dumps(config.group_params)
ctx.invoke(multi_year_groups, group_params=group_params)
elif config.execution_control.option in ('eagle', 'slurm'):
ctx.obj['NAME'] = name
ctx.invoke(multi_year_slurm,
alloc=config.execution_control.allocation,
walltime=config.execution_control.walltime,
feature=config.execution_control.feature,
memory=config.execution_control.memory,
conda_env=config.execution_control.conda_env,
module=config.execution_control.module,
stdout_path=os.path.join(config.logdir, 'stdout'),
group_params=json.dumps(config.group_params),
verbose=verbose)
def test_job_exists():
"""Test job addition and exist check"""
purge()
Status.add_job(STATUS_DIR, 'generation', 'test1',
job_attrs={'job_status': 'submitted'})
exists = Status.job_exists(STATUS_DIR, 'test1')
assert exists
purge()
def multi_year_slurm(ctx, group_params, alloc, walltime, feature, memory,
conda_env, module, stdout_path, verbose):
"""
Run multi year collection and means on HPC via SLURM job submission.
"""
name = ctx.obj['NAME']
my_file = ctx.obj['MY_FILE']
verbose = any([verbose, ctx.obj['VERBOSE']])
slurm_manager = ctx.obj.get('SLURM_MANAGER', None)
if slurm_manager is None:
slurm_manager = SLURM()
ctx.obj['SLURM_MANAGER'] = slurm_manager
status = Status.retrieve_job_status(os.path.dirname(my_file),
'multi-year',
name,
hardware='eagle',
subprocess_manager=slurm_manager)
if status == 'successful':
msg = ('Job "{}" is successful in status json found in "{}", '
'not re-running.'.format(name, os.path.dirname(my_file)))
elif 'fail' not in str(status).lower() and status is not None:
msg = ('Job "{}" was found with status "{}", not resubmitting'.format(
name, status))
else:
logger.info('Running reV multi-year collection on SLURM with node '
' name "{}", collecting into "{}".'.format(name, my_file))
# create and submit the SLURM job
slurm_cmd = get_slurm_cmd(name, my_file, group_params, verbose=verbose)
out = slurm_manager.sbatch(slurm_cmd,
alloc=alloc,
memory=memory,
walltime=walltime,
feature=feature,
name=name,
stdout_path=stdout_path,
conda_env=conda_env,
module=module)[0]
if out:
msg = ('Kicked off reV multi-year collection job "{}" '
'(SLURM jobid #{}).'.format(name, out))
# add job to reV status file.
Status.add_job(os.path.dirname(my_file),
'multi-year',
name,
replace=True,
job_attrs={
'job_id': out,
'hardware': 'eagle',
'fout': os.path.basename(my_file),
'dirout': os.path.dirname(my_file)
})
click.echo(msg)
logger.info(msg)
def launch_slurm(config, verbose):
"""
Launch slurm QA/QC job
Parameters
----------
config : dict
'reV QA/QC configuration dictionary'
"""
out_dir = config.dirout
log_file = os.path.join(config.logdir, config.name + '.log')
stdout_path = os.path.join(config.logdir, 'stdout/')
node_cmd = get_multiple_cmds(config, out_dir, log_file, verbose)
slurm_manager = SLURM()
status = Status.retrieve_job_status(out_dir,
'qa-qc',
config.name,
hardware='eagle',
subprocess_manager=slurm_manager)
if status == 'successful':
msg = ('Job "{}" is successful in status json found in "{}", '
'not re-running.'.format(config.name, out_dir))
elif 'fail' not in str(status).lower() and status is not None:
msg = ('Job "{}" was found with status "{}", not resubmitting'.format(
config.name, status))
else:
logger.info('Running reV QA-QC on SLURM with '
'node name "{}"'.format(config.name))
out = slurm_manager.sbatch(
node_cmd,
name=config.name,
alloc=config.execution_control.allocation,
memory=config.execution_control.memory,
feature=config.execution_control.feature,
walltime=config.execution_control.walltime,
conda_env=config.execution_control.conda_env,
module=config.execution_control.module,
stdout_path=stdout_path)[0]
if out:
msg = ('Kicked off reV QA-QC job "{}" '
'(SLURM jobid #{}).'.format(config.name, out))
Status.add_job(out_dir,
'qa-qc',
config.name,
replace=True,
job_attrs={
'job_id': out,
'hardware': 'eagle',
'dirout': out_dir
})
click.echo(msg)
logger.info(msg)
def slurm(ctx, alloc, memory, walltime, feature, module, conda_env,
stdout_path):
"""slurm (eagle) submission tool for reV supply curve."""
name = ctx.obj['NAME']
sc_points = ctx.obj['SC_POINTS']
trans_table = ctx.obj['TRANS_TABLE']
fixed_charge_rate = ctx.obj['FIXED_CHARGE_RATE']
sc_features = ctx.obj['SC_FEATURES']
transmission_costs = ctx.obj['TRANSMISSION_COSTS']
simple = ctx.obj['SIMPLE']
line_limited = ctx.obj['LINE_LIMITED']
sort_on = ctx.obj['SORT_ON']
offshore_trans_table = ctx.obj['OFFSHORE_TRANS_TABLE']
wind_dirs = ctx.obj['WIND_DIRS']
n_dirs = ctx.obj['N_DIRS']
downwind = ctx.obj['DOWNWIND']
offshore_compete = ctx.obj['OFFSHORE_COMPETE']
max_workers = ctx.obj['MAX_WORKERS']
out_dir = ctx.obj['OUT_DIR']
log_dir = ctx.obj['LOG_DIR']
verbose = ctx.obj['VERBOSE']
if stdout_path is None:
stdout_path = os.path.join(log_dir, 'stdout/')
cmd = get_node_cmd(name, sc_points, trans_table, fixed_charge_rate,
sc_features, transmission_costs, sort_on,
offshore_trans_table, wind_dirs, n_dirs, downwind,
offshore_compete, max_workers, out_dir, log_dir,
simple, line_limited, verbose)
status = Status.retrieve_job_status(out_dir, 'supply-curve', name)
if status == 'successful':
msg = ('Job "{}" is successful in status json found in "{}", '
'not re-running.'
.format(name, out_dir))
else:
logger.info('Running reV Supply Curve on SLURM with '
'node name "{}"'.format(name))
logger.debug('\t{}'.format(cmd))
slurm = SLURM(cmd, alloc=alloc, memory=memory,
walltime=walltime, feature=feature,
name=name, stdout_path=stdout_path,
conda_env=conda_env, module=module)
if slurm.id:
msg = ('Kicked off reV SC job "{}" (SLURM jobid #{}).'
.format(name, slurm.id))
Status.add_job(
out_dir, 'supply-curve', name, replace=True,
job_attrs={'job_id': slurm.id, 'hardware': 'eagle',
'fout': '{}.csv'.format(name), 'dirout': out_dir})
else:
msg = ('Was unable to kick off reV SC job "{}". Please see the '
'stdout error messages'.format(name))
click.echo(msg)
logger.info(msg)
def slurm(ctx, alloc, feature, memory, walltime, module, conda_env,
stdout_path):
"""slurm (Eagle) submission tool for reV supply curve aggregation."""
name = ctx.obj['NAME']
gen_fpath = ctx.obj['GEN_FPATH']
offshore_fpath = ctx.obj['OFFSHORE_FPATH']
project_points = ctx.obj['PROJECT_POINTS']
sam_files = ctx.obj['SAM_FILES']
log_dir = ctx.obj['LOG_DIR']
out_dir = ctx.obj['OUT_DIR']
verbose = ctx.obj['VERBOSE']
if stdout_path is None:
stdout_path = os.path.join(log_dir, 'stdout/')
cmd = get_node_cmd(name, gen_fpath, offshore_fpath, project_points,
sam_files, log_dir, verbose)
status = Status.retrieve_job_status(out_dir, 'offshore', name)
if status == 'successful':
msg = ('Job "{}" is successful in status json found in "{}", '
'not re-running.'.format(name, out_dir))
else:
logger.info('Running reV offshore aggregation on SLURM with '
'node name "{}"'.format(name))
slurm = SLURM(cmd,
alloc=alloc,
memory=memory,
walltime=walltime,
feature=feature,
name=name,
stdout_path=stdout_path,
conda_env=conda_env,
module=module)
if slurm.id:
msg = ('Kicked off reV offshore job "{}" '
'(SLURM jobid #{}).'.format(name, slurm.id))
Status.add_job(out_dir,
'offshore',
name,
replace=True,
job_attrs={
'job_id': slurm.id,
'hardware': 'eagle',
'fout': '{}.csv'.format(name),
'dirout': out_dir
})
else:
msg = ('Was unable to kick off reV offshore job "{}". Please see '
'the stdout error messages'.format(name))
click.echo(msg)
logger.info(msg)
def test_job_addition():
"""Test job addition and exist check"""
purge()
Status.add_job(STATUS_DIR, 'generation', 'test1')
status1 = Status(STATUS_DIR).data['generation']['test1']['job_status']
Status.add_job(STATUS_DIR, 'generation', 'test1',
job_attrs={'job_status': 'finished', 'additional': 'test'})
status2 = Status(STATUS_DIR).data['generation']['test1']['job_status']
assert status2 == status1
purge()
def test_job_replacement():
"""Test job addition and replacement"""
purge()
Status.add_job(STATUS_DIR, 'generation', 'test1',
job_attrs={'job_status': 'submitted'})
Status.add_job(STATUS_DIR, 'generation', 'test1',
job_attrs={'addition': 'test', 'job_status': 'finished'},
replace=True)
status = Status(STATUS_DIR).data['generation']['test1']['job_status']
addition = Status(STATUS_DIR).data['generation']['test1']['addition']
assert status == 'finished'
assert addition == 'test'
purge()
def multi_year_slurm(ctx, alloc, walltime, feature, memory, conda_env, module,
stdout_path, group_params, verbose):
"""
Run multi year collection and means on HPC via SLURM job submission.
"""
name = ctx.obj['NAME']
my_file = ctx.obj['MY_FILE']
verbose = any([verbose, ctx.obj['VERBOSE']])
status = Status.retrieve_job_status(os.path.dirname(my_file), 'multi-year',
name)
if status == 'successful':
msg = ('Job "{}" is successful in status json found in "{}", '
'not re-running.'.format(name, os.path.dirname(my_file)))
else:
logger.info('Running reV multi-year collection on SLURM with node '
' name "{}", collecting into "{}".'.format(name, my_file))
# create and submit the SLURM job
slurm_cmd = get_slurm_cmd(name, my_file, group_params, verbose=verbose)
slurm = SLURM(slurm_cmd,
alloc=alloc,
memory=memory,
walltime=walltime,
feature=feature,
name=name,
stdout_path=stdout_path,
conda_env=conda_env,
module=module)
if slurm.id:
msg = ('Kicked off reV multi-year collection job "{}" '
'(SLURM jobid #{}).'.format(name, slurm.id))
# add job to reV status file.
Status.add_job(os.path.dirname(my_file),
'multi-year',
name,
replace=True,
job_attrs={
'job_id': slurm.id,
'hardware': 'eagle',
'fout': os.path.basename(my_file),
'dirout': os.path.dirname(my_file)
})
else:
msg = ('Was unable to kick off reV collection job "{}". '
'Please see the stdout error messages'.format(name))
click.echo(msg)
logger.info(msg)
def from_config(ctx, config_file, verbose):
"""Run reV offshore aggregation from a config file."""
# Instantiate the config object
config = OffshoreConfig(config_file)
name = ctx.obj['NAME']
# take name from config if not default
if config.name.lower() != 'rev':
name = config.name
ctx.obj['NAME'] = name
# Enforce verbosity if logging level is specified in the config
if config.log_level == logging.DEBUG:
verbose = True
# initialize loggers
init_mult(
name,
config.logdir,
modules=[__name__, 'reV.config', 'reV.utilities', 'rex.utilities'],
verbose=verbose)
# Initial log statements
logger.info('Running reV offshore aggregation from config '
'file: "{}"'.format(config_file))
logger.info('Target output directory: "{}"'.format(config.dirout))
logger.info('Target logging directory: "{}"'.format(config.logdir))
logger.debug('The full configuration input is as follows:\n{}'.format(
pprint.pformat(config, indent=4)))
for i, gen_fpath in enumerate(config.parse_gen_fpaths()):
job_name = '{}_{}'.format(name, str(i).zfill(2))
if config.execution_control.option == 'local':
status = Status.retrieve_job_status(config.dirout, 'offshore',
job_name)
if status != 'successful':
Status.add_job(config.dirout,
'offshore',
job_name,
replace=True,
job_attrs={
'hardware': 'local',
'fout': '{}_offshore.h5'.format(job_name),
'dirout': config.dirout,
'finput': gen_fpath
})
ctx.invoke(direct,
gen_fpath=gen_fpath,
offshore_fpath=config.offshore_fpath,
points=config.project_points,
sam_files=config.sam_files,
logdir=config.logdir,
verbose=verbose)
elif config.execution_control.option in ('eagle', 'slurm'):
ctx.obj['NAME'] = job_name
ctx.obj['GEN_FPATH'] = gen_fpath
ctx.obj['OFFSHORE_FPATH'] = config.offshore_fpath
ctx.obj['PROJECT_POINTS'] = config.project_points
ctx.obj['SAM_FILES'] = config.sam_files
ctx.obj['OUT_DIR'] = config.dirout
ctx.obj['LOG_DIR'] = config.logdir
ctx.obj['VERBOSE'] = verbose
ctx.invoke(slurm,
alloc=config.execution_control.allocation,
memory=config.execution_control.memory,
walltime=config.execution_control.walltime,
feature=config.execution_control.feature,
module=config.execution_control.module,
conda_env=config.execution_control.conda_env)
def slurm(ctx, nodes, alloc, memory, walltime, feature, module, conda_env,
stdout_path, verbose):
"""Run econ on HPC via SLURM job submission."""
name = ctx.obj['NAME']
points = ctx.obj['POINTS']
sam_files = ctx.obj['SAM_FILES']
cf_file = ctx.obj['CF_FILE']
cf_year = ctx.obj['CF_YEAR']
site_data = ctx.obj['SITE_DATA']
sites_per_worker = ctx.obj['SITES_PER_WORKER']
max_workers = ctx.obj['MAX_WORKERS']
timeout = ctx.obj['TIMEOUT']
fout = ctx.obj['FOUT']
dirout = ctx.obj['DIROUT']
logdir = ctx.obj['LOGDIR']
output_request = ctx.obj['OUTPUT_REQUEST']
append = ctx.obj['APPEND']
verbose = any([verbose, ctx.obj['VERBOSE']])
# initialize an info logger on the year level
init_mult(name,
logdir,
modules=[
__name__, 'reV.econ.econ', 'reV.config', 'reV.utilities',
'reV.SAM', 'rex.utilities'
],
verbose=False)
if append:
pc = [None]
else:
pc = get_node_pc(points, sam_files, nodes)
for i, split in enumerate(pc):
node_name, fout_node = get_node_name_fout(name,
fout,
i,
pc,
hpc='slurm')
node_name = node_name.replace('gen', 'econ')
points_range = split.split_range if split is not None else None
cmd = get_node_cmd(node_name,
sam_files,
cf_file,
cf_year=cf_year,
site_data=site_data,
points=points,
points_range=points_range,
sites_per_worker=sites_per_worker,
max_workers=max_workers,
timeout=timeout,
fout=fout_node,
dirout=dirout,
logdir=logdir,
output_request=output_request,
append=append,
verbose=verbose)
status = Status.retrieve_job_status(dirout, 'econ', node_name)
if status == 'successful':
msg = ('Job "{}" is successful in status json found in "{}", '
'not re-running.'.format(node_name, dirout))
else:
logger.info('Running reV econ on SLURM with node name "{}" for '
'{} (points range: {}).'.format(
node_name, pc, points_range))
# create and submit the SLURM job
slurm = SLURM(cmd,
alloc=alloc,
memory=memory,
walltime=walltime,
feature=feature,
name=node_name,
stdout_path=stdout_path,
conda_env=conda_env,
module=module)
if slurm.id:
msg = (
'Kicked off reV econ job "{}" (SLURM jobid #{}).'.format(
node_name, slurm.id))
# add job to reV status file.
Status.add_job(dirout,
'econ',
node_name,
replace=True,
job_attrs={
'job_id': slurm.id,
'hardware': 'eagle',
'fout': fout_node,
'dirout': dirout
})
else:
msg = (
'Was unable to kick off reV econ job "{}". '
'Please see the stdout error messages'.format(node_name))
click.echo(msg)
logger.info(msg)
def submit_from_config(ctx, name, cf_file, year, config, verbose):
"""Function to submit one year from a config file.
Parameters
----------
ctx : cli.ctx
Click context object. Use case: data = ctx.obj['key']
cf_file : str
reV generation file with capacity factors to calculate econ for.
name : str
Job name.
year : int | str | NoneType
4 digit year or None.
config : reV.config.EconConfig
Econ config object.
"""
# set the year-specific variables
ctx.obj['CF_FILE'] = cf_file
ctx.obj['CF_YEAR'] = year
# check to make sure that the year matches the resource file
if str(year) not in cf_file:
warn('reV gen results file and year do not appear to match. '
'Expected the string representation of the year '
'to be in the generation results file name. '
'Year: {}, generation results file: {}'.format(year, cf_file))
# if the year isn't in the name, add it before setting the file output
ctx.obj['FOUT'] = make_fout(name, year)
if config.append:
ctx.obj['FOUT'] = os.path.basename(cf_file)
# invoke direct methods based on the config execution option
if config.execution_control.option == 'local':
name_year = make_fout(name, year).replace('.h5', '')
name_year = name_year.replace('gen', 'econ')
ctx.obj['NAME'] = name_year
status = Status.retrieve_job_status(config.dirout, 'econ', name_year)
if status != 'successful':
Status.add_job(config.dirout,
'econ',
name_year,
replace=True,
job_attrs={
'hardware': 'local',
'fout': ctx.obj['FOUT'],
'dirout': config.dirout
})
ctx.invoke(local,
max_workers=config.execution_control.max_workers,
timeout=config.timeout,
points_range=None,
verbose=verbose)
elif config.execution_control.option in ('eagle', 'slurm'):
if not parse_year(name, option='bool') and year:
# Add year to name before submitting
ctx.obj['NAME'] = '{}_{}'.format(name, str(year))
ctx.invoke(slurm,
nodes=config.execution_control.nodes,
alloc=config.execution_control.allocation,
walltime=config.execution_control.walltime,
memory=config.execution_control.memory,
feature=config.execution_control.feature,
module=config.execution_control.module,
conda_env=config.execution_control.conda_env,
stdout_path=os.path.join(config.logdir, 'stdout'),
verbose=verbose)
def slurm(ctx, alloc, walltime, feature, memory, module, conda_env,
stdout_path):
"""slurm (Eagle) submission tool for reV supply curve aggregation."""
name = ctx.obj['NAME']
excl_fpath = ctx.obj['EXCL_FPATH']
gen_fpath = ctx.obj['GEN_FPATH']
res_fpath = ctx.obj['RES_FPATH']
tm_dset = ctx.obj['TM_DSET']
excl_dict = ctx.obj['EXCL_DICT']
check_excl_layers = ctx.obj['CHECK_LAYERS']
res_class_dset = ctx.obj['RES_CLASS_DSET']
res_class_bins = ctx.obj['RES_CLASS_BINS']
cf_dset = ctx.obj['CF_DSET']
lcoe_dset = ctx.obj['LCOE_DSET']
data_layers = ctx.obj['DATA_LAYERS']
resolution = ctx.obj['RESOLUTION']
excl_area = ctx.obj['EXCL_AREA']
power_density = ctx.obj['POWER_DENSITY']
area_filter_kernel = ctx.obj['AREA_FILTER_KERNEL']
min_area = ctx.obj['MIN_AREA']
friction_fpath = ctx.obj['FRICTION_FPATH']
friction_dset = ctx.obj['FRICTION_DSET']
out_dir = ctx.obj['OUT_DIR']
log_dir = ctx.obj['LOG_DIR']
verbose = ctx.obj['VERBOSE']
if stdout_path is None:
stdout_path = os.path.join(log_dir, 'stdout/')
cmd = get_node_cmd(name, excl_fpath, gen_fpath, res_fpath,
tm_dset, excl_dict, check_excl_layers,
res_class_dset, res_class_bins,
cf_dset, lcoe_dset, data_layers,
resolution, excl_area,
power_density, area_filter_kernel, min_area,
friction_fpath, friction_dset,
out_dir, log_dir, verbose)
status = Status.retrieve_job_status(out_dir, 'supply-curve-aggregation',
name)
if status == 'successful':
msg = ('Job "{}" is successful in status json found in "{}", '
'not re-running.'
.format(name, out_dir))
else:
logger.info('Running reV SC aggregation on SLURM with '
'node name "{}"'.format(name))
slurm = SLURM(cmd, alloc=alloc, memory=memory,
walltime=walltime, feature=feature,
name=name, stdout_path=stdout_path,
conda_env=conda_env, module=module)
if slurm.id:
msg = ('Kicked off reV SC aggregation job "{}" '
'(SLURM jobid #{}).'
.format(name, slurm.id))
Status.add_job(
out_dir, 'supply-curve-aggregation', name, replace=True,
job_attrs={'job_id': slurm.id, 'hardware': 'eagle',
'fout': '{}.csv'.format(name), 'dirout': out_dir})
else:
msg = ('Was unable to kick off reV SC job "{}". '
'Please see the stdout error messages'
.format(name))
click.echo(msg)
logger.info(msg)
def launch_slurm(config, verbose):
"""
Launch slurm QA/QC job
Parameters
----------
config : dict
'reV QA/QC configuration dictionary'
"""
out_dir = config.dirout
log_file = os.path.join(config.logdir, config.name + '.log')
stdout_path = os.path.join(config.logdir, 'stdout/')
node_cmd = []
terminal = False
for i, module in enumerate(config.module_names):
module_config = config.get_module_inputs(module)
fpaths = module_config.fpath
if isinstance(fpaths, (str, type(None))):
fpaths = [fpaths]
for j, fpath in enumerate(fpaths):
if (i == len(config.module_names) - 1) and (j == len(fpaths) - 1):
terminal = True
if module.lower() == 'exclusions':
node_cmd.append(
get_excl_cmd(config.name, module_config.excl_fpath,
out_dir, module_config.sub_dir,
module_config.excl_dict,
module_config.area_filter_kernel,
module_config.min_area,
module_config.plot_type, module_config.cmap,
module_config.plot_step, log_file, verbose,
terminal))
elif fpath.endswith('.h5'):
node_cmd.append(
get_h5_cmd(config.name, fpath, out_dir,
module_config.sub_dir, module_config.dsets,
module_config.group, module_config.process_size,
module_config.max_workers,
module_config.plot_type, module_config.cmap,
log_file, verbose, terminal))
elif fpath.endswith('.csv'):
node_cmd.append(
get_sc_cmd(config.name, fpath, out_dir,
module_config.sub_dir, module_config.columns,
module_config.plot_type, module_config.cmap,
module_config.lcoe, log_file, verbose,
terminal))
else:
msg = ("Cannot run QA/QC for {}: 'fpath' must be a '*.h5' "
"or '*.csv' reV output file, but {} was given!".format(
module, fpath))
logger.error(msg)
raise ValueError(msg)
status = Status.retrieve_job_status(out_dir, 'qa-qc', config.name)
if status == 'successful':
msg = ('Job "{}" is successful in status json found in "{}", '
'not re-running.'.format(config.name, out_dir))
else:
node_cmd = '\n'.join(node_cmd)
logger.info('Running reV QA-QC on SLURM with '
'node name "{}"'.format(config.name))
slurm = SLURM(node_cmd,
name=config.name,
alloc=config.execution_control.allocation,
memory=config.execution_control.memory,
feature=config.execution_control.feature,
walltime=config.execution_control.walltime,
conda_env=config.execution_control.conda_env,
module=config.execution_control.module,
stdout_path=stdout_path)
if slurm.id:
msg = ('Kicked off reV QA-QC job "{}" '
'(SLURM jobid #{}).'.format(config.name, slurm.id))
Status.add_job(out_dir,
'qa-qc',
config.name,
replace=True,
job_attrs={
'job_id': slurm.id,
'hardware': 'eagle',
'dirout': out_dir
})
else:
msg = ('Was unable to kick off reV QA-QC job "{}". '
'Please see the stdout error messages'.format(config.name))
click.echo(msg)
logger.info(msg)
def from_config(ctx, config_file, verbose):
"""Run reV gen from a config file."""
name = ctx.obj['NAME']
# Instantiate the config object
config = CollectionConfig(config_file)
# take name from config if not default
if config.name.lower() != 'rev':
name = config.name
ctx.obj['NAME'] = name
# Enforce verbosity if logging level is specified in the config
if config.log_level == logging.DEBUG:
verbose = True
# make output directory if does not exist
if not os.path.exists(config.dirout):
os.makedirs(config.dirout)
# initialize loggers.
init_mult(name,
config.logdir,
modules=[__name__, 'reV.handlers.collection'],
verbose=verbose)
# Initial log statements
logger.info(
'Running reV collection from config file: "{}"'.format(config_file))
logger.info('Target output directory: "{}"'.format(config.dirout))
logger.info('Target logging directory: "{}"'.format(config.logdir))
logger.info('Target collection directory: "{}"'.format(config.coldir))
logger.info('The following project points were specified: "{}"'.format(
config.get('project_points', None)))
logger.debug('The full configuration input is as follows:\n{}'.format(
pprint.pformat(config, indent=4)))
# set config objects to be passed through invoke to direct methods
ctx.obj['H5_DIR'] = config.coldir
ctx.obj['LOG_DIR'] = config.logdir
ctx.obj['DSETS'] = config.dsets
ctx.obj['PROJECT_POINTS'] = config.project_points
ctx.obj['PURGE_CHUNKS'] = config.purge_chunks
ctx.obj['VERBOSE'] = verbose
for file_prefix in config.file_prefixes:
ctx.obj['NAME'] = name + '_{}'.format(file_prefix)
ctx.obj['H5_FILE'] = os.path.join(config.dirout, file_prefix + '.h5')
ctx.obj['FILE_PREFIX'] = file_prefix
if config.execution_control.option == 'local':
status = Status.retrieve_job_status(config.dirout, 'collect',
ctx.obj['NAME'])
if status != 'successful':
Status.add_job(config.dirout,
'collect',
ctx.obj['NAME'],
replace=True,
job_attrs={
'hardware': 'local',
'fout': file_prefix + '.h5',
'dirout': config.dirout
})
ctx.invoke(collect)
elif config.execution_control.option in ('eagle', 'slurm'):
ctx.invoke(collect_slurm,
alloc=config.execution_control.allocation,
memory=config.execution_control.memory,
walltime=config.execution_control.walltime,
feature=config.execution_control.feature,
conda_env=config.execution_control.conda_env,
module=config.execution_control.module,
stdout_path=os.path.join(config.logdir, 'stdout'),
verbose=verbose)
def collect_slurm(ctx, alloc, memory, walltime, feature, conda_env, module,
stdout_path, verbose):
"""Run collection on HPC via SLURM job submission."""
name = ctx.obj['NAME']
h5_file = ctx.obj['H5_FILE']
h5_dir = ctx.obj['H5_DIR']
log_dir = ctx.obj['LOG_DIR']
project_points = ctx.obj['PROJECT_POINTS']
dsets = ctx.obj['DSETS']
file_prefix = ctx.obj['FILE_PREFIX']
purge_chunks = ctx.obj['PURGE_CHUNKS']
verbose = any([verbose, ctx.obj['VERBOSE']])
slurm_manager = ctx.obj.get('SLURM_MANAGER', None)
if slurm_manager is None:
slurm_manager = SLURM()
ctx.obj['SLURM_MANAGER'] = slurm_manager
cmd = get_node_cmd(name,
h5_file,
h5_dir,
project_points,
dsets,
file_prefix=file_prefix,
log_dir=log_dir,
purge_chunks=purge_chunks,
verbose=verbose)
status = Status.retrieve_job_status(os.path.dirname(h5_file),
'collect',
name,
hardware='eagle',
subprocess_manager=slurm_manager)
if status == 'successful':
msg = ('Job "{}" is successful in status json found in "{}", '
'not re-running.'.format(name, os.path.dirname(h5_file)))
elif 'fail' not in str(status).lower() and status is not None:
msg = ('Job "{}" was found with status "{}", not resubmitting'.format(
name, status))
else:
logger.info(
'Running reV collection on SLURM with node name "{}", '
'collecting data to "{}" from "{}" with file prefix "{}".'.format(
name, h5_file, h5_dir, file_prefix))
out = slurm_manager.sbatch(cmd,
alloc=alloc,
memory=memory,
walltime=walltime,
feature=feature,
name=name,
stdout_path=stdout_path,
conda_env=conda_env,
module=module)[0]
if out:
msg = (
'Kicked off reV collection job "{}" (SLURM jobid #{}).'.format(
name, out))
# add job to reV status file.
Status.add_job(os.path.dirname(h5_file),
'collect',
name,
replace=True,
job_attrs={
'job_id': out,
'hardware': 'eagle',
'fout': os.path.basename(h5_file),
'dirout': os.path.dirname(h5_file)
})
click.echo(msg)
logger.info(msg)
def slurm(ctx, alloc, feature, memory, walltime, module, conda_env,
stdout_path):
"""slurm (Eagle) submission tool for reV supply curve aggregation."""
name = ctx.obj['NAME']
gen_fpath = ctx.obj['GEN_FPATH']
offshore_fpath = ctx.obj['OFFSHORE_FPATH']
project_points = ctx.obj['PROJECT_POINTS']
sam_files = ctx.obj['SAM_FILES']
log_dir = ctx.obj['LOG_DIR']
out_dir = ctx.obj['OUT_DIR']
verbose = ctx.obj['VERBOSE']
if stdout_path is None:
stdout_path = os.path.join(log_dir, 'stdout/')
cmd = get_node_cmd(name, gen_fpath, offshore_fpath, project_points,
sam_files, log_dir, verbose)
slurm_manager = ctx.obj.get('SLURM_MANAGER', None)
if slurm_manager is None:
slurm_manager = SLURM()
ctx.obj['SLURM_MANAGER'] = slurm_manager
status = Status.retrieve_job_status(out_dir,
'offshore',
name,
hardware='eagle',
subprocess_manager=slurm_manager)
if status == 'successful':
msg = ('Job "{}" is successful in status json found in "{}", '
'not re-running.'.format(name, out_dir))
elif 'fail' not in str(status).lower() and status is not None:
msg = ('Job "{}" was found with status "{}", not resubmitting'.format(
name, status))
else:
logger.info('Running reV offshore aggregation on SLURM with '
'node name "{}"'.format(name))
out = slurm_manager.sbatch(cmd,
alloc=alloc,
memory=memory,
walltime=walltime,
feature=feature,
name=name,
stdout_path=stdout_path,
conda_env=conda_env,
module=module)[0]
if out:
msg = ('Kicked off reV offshore job "{}" '
'(SLURM jobid #{}).'.format(name, out))
Status.add_job(out_dir,
'offshore',
name,
replace=True,
job_attrs={
'job_id': out,
'hardware': 'eagle',
'fout': '{}.csv'.format(name),
'dirout': out_dir
})
click.echo(msg)
logger.info(msg)
def slurm(ctx, alloc, nodes, memory, walltime, feature, module, conda_env,
stdout_path, verbose):
"""Run econ on HPC via SLURM job submission."""
name = ctx.obj['NAME']
points = ctx.obj['POINTS']
sam_files = ctx.obj['SAM_FILES']
cf_file = ctx.obj['CF_FILE']
year = ctx.obj['YEAR']
site_data = ctx.obj['SITE_DATA']
sites_per_worker = ctx.obj['SITES_PER_WORKER']
max_workers = ctx.obj['MAX_WORKERS']
timeout = ctx.obj['TIMEOUT']
fout = ctx.obj['FOUT']
dirout = ctx.obj['DIROUT']
logdir = ctx.obj['LOGDIR']
output_request = ctx.obj['OUTPUT_REQUEST']
append = ctx.obj['APPEND']
verbose = any([verbose, ctx.obj['VERBOSE']])
slurm_manager = ctx.obj.get('SLURM_MANAGER', None)
if slurm_manager is None:
slurm_manager = SLURM()
ctx.obj['SLURM_MANAGER'] = slurm_manager
if append:
pc = [None]
else:
pc = get_node_pc(points, sam_files, nodes)
for i, split in enumerate(pc):
node_name, fout_node = get_node_name_fout(name,
fout,
i,
pc,
hpc='slurm')
node_name = node_name.replace('gen', 'econ')
points_range = split.split_range if split is not None else None
cmd = get_node_cmd(node_name,
sam_files,
cf_file,
year=year,
site_data=site_data,
points=points,
points_range=points_range,
sites_per_worker=sites_per_worker,
max_workers=max_workers,
timeout=timeout,
fout=fout_node,
dirout=dirout,
logdir=logdir,
output_request=output_request,
append=append,
verbose=verbose)
status = Status.retrieve_job_status(dirout,
'econ',
node_name,
hardware='eagle',
subprocess_manager=slurm_manager)
if status == 'successful':
msg = ('Job "{}" is successful in status json found in "{}", '
'not re-running.'.format(node_name, dirout))
elif 'fail' not in str(status).lower() and status is not None:
msg = (
'Job "{}" was found with status "{}", not resubmitting'.format(
node_name, status))
else:
logger.info('Running reV econ on SLURM with node name "{}" for '
'{} (points range: {}).'.format(
node_name, pc, points_range))
# create and submit the SLURM job
out = slurm_manager.sbatch(cmd,
alloc=alloc,
memory=memory,
walltime=walltime,
feature=feature,
name=node_name,
stdout_path=stdout_path,
conda_env=conda_env,
module=module)[0]
if out:
msg = (
'Kicked off reV econ job "{}" (SLURM jobid #{}).'.format(
node_name, out))
# add job to reV status file.
Status.add_job(dirout,
'econ',
node_name,
replace=True,
job_attrs={
'job_id': out,
'hardware': 'eagle',
'fout': fout_node,
'dirout': dirout
})
click.echo(msg)
logger.info(msg)
def from_config(ctx, config_file, verbose):
"""Run reV SC aggregation from a config file."""
name = ctx.obj['NAME']
# Instantiate the config object
config = SupplyCurveAggregationConfig(config_file)
# take name from config if not default
if config.name.lower() != 'rev':
name = config.name
ctx.obj['NAME'] = name
# Enforce verbosity if logging level is specified in the config
if config.log_level == logging.DEBUG:
verbose = True
# initialize loggers
init_mult(
name,
config.logdir,
modules=[__name__, 'reV.config', 'reV.utilities', 'rex.utilities'],
verbose=verbose)
# Initial log statements
logger.info('Running reV supply curve aggregation from config '
'file: "{}"'.format(config_file))
logger.info('Target output directory: "{}"'.format(config.dirout))
logger.info('Target logging directory: "{}"'.format(config.logdir))
logger.debug('The full configuration input is as follows:\n{}'.format(
pprint.pformat(config, indent=4)))
if config.execution_control.option == 'local':
status = Status.retrieve_job_status(config.dirout,
'supply-curve-aggregation', name)
if status != 'successful':
Status.add_job(config.dirout,
'supply-curve-aggregation',
name,
replace=True,
job_attrs={
'hardware': 'local',
'fout': '{}.csv'.format(name),
'dirout': config.dirout
})
ctx.invoke(direct,
excl_fpath=config.excl_fpath,
gen_fpath=config.gen_fpath,
econ_fpath=config.econ_fpath,
res_fpath=config.res_fpath,
tm_dset=config.tm_dset,
excl_dict=config.excl_dict,
check_excl_layers=config.check_excl_layers,
res_class_dset=config.res_class_dset,
res_class_bins=config.res_class_bins,
cf_dset=config.cf_dset,
lcoe_dset=config.lcoe_dset,
h5_dsets=config.h5_dsets,
data_layers=config.data_layers,
resolution=config.resolution,
excl_area=config.excl_area,
power_density=config.power_density,
area_filter_kernel=config.area_filter_kernel,
min_area=config.min_area,
friction_fpath=config.friction_fpath,
friction_dset=config.friction_dset,
out_dir=config.dirout,
log_dir=config.logdir,
verbose=verbose)
elif config.execution_control.option in ('eagle', 'slurm'):
ctx.obj['NAME'] = name
ctx.obj['EXCL_FPATH'] = config.excl_fpath
ctx.obj['GEN_FPATH'] = config.gen_fpath
ctx.obj['ECON_FPATH'] = config.econ_fpath
ctx.obj['RES_FPATH'] = config.res_fpath
ctx.obj['TM_DSET'] = config.tm_dset
ctx.obj['EXCL_DICT'] = config.excl_dict
ctx.obj['CHECK_LAYERS'] = config.check_excl_layers
ctx.obj['RES_CLASS_DSET'] = config.res_class_dset
ctx.obj['RES_CLASS_BINS'] = config.res_class_bins
ctx.obj['CF_DSET'] = config.cf_dset
ctx.obj['LCOE_DSET'] = config.lcoe_dset
ctx.obj['H5_DSETS'] = config.h5_dsets
ctx.obj['DATA_LAYERS'] = config.data_layers
ctx.obj['RESOLUTION'] = config.resolution
ctx.obj['EXCL_AREA'] = config.excl_area
ctx.obj['POWER_DENSITY'] = config.power_density
ctx.obj['AREA_FILTER_KERNEL'] = config.area_filter_kernel
ctx.obj['MIN_AREA'] = config.min_area
ctx.obj['FRICTION_FPATH'] = config.friction_fpath
ctx.obj['FRICTION_DSET'] = config.friction_dset
ctx.obj['OUT_DIR'] = config.dirout
ctx.obj['LOG_DIR'] = config.logdir
ctx.obj['VERBOSE'] = verbose
ctx.invoke(slurm,
alloc=config.execution_control.allocation,
memory=config.execution_control.memory,
feature=config.execution_control.feature,
walltime=config.execution_control.walltime,
conda_env=config.execution_control.conda_env,
module=config.execution_control.module)
def slurm(ctx, alloc, walltime, feature, memory, module, conda_env,
stdout_path):
"""slurm (Eagle) submission tool for reV supply curve aggregation."""
name = ctx.obj['NAME']
excl_fpath = ctx.obj['EXCL_FPATH']
gen_fpath = ctx.obj['GEN_FPATH']
econ_fpath = ctx.obj['ECON_FPATH']
res_fpath = ctx.obj['RES_FPATH']
tm_dset = ctx.obj['TM_DSET']
excl_dict = ctx.obj['EXCL_DICT']
check_excl_layers = ctx.obj['CHECK_LAYERS']
res_class_dset = ctx.obj['RES_CLASS_DSET']
res_class_bins = ctx.obj['RES_CLASS_BINS']
cf_dset = ctx.obj['CF_DSET']
lcoe_dset = ctx.obj['LCOE_DSET']
h5_dsets = ctx.obj['H5_DSETS']
data_layers = ctx.obj['DATA_LAYERS']
resolution = ctx.obj['RESOLUTION']
excl_area = ctx.obj['EXCL_AREA']
power_density = ctx.obj['POWER_DENSITY']
area_filter_kernel = ctx.obj['AREA_FILTER_KERNEL']
min_area = ctx.obj['MIN_AREA']
friction_fpath = ctx.obj['FRICTION_FPATH']
friction_dset = ctx.obj['FRICTION_DSET']
out_dir = ctx.obj['OUT_DIR']
log_dir = ctx.obj['LOG_DIR']
verbose = ctx.obj['VERBOSE']
if stdout_path is None:
stdout_path = os.path.join(log_dir, 'stdout/')
cmd = get_node_cmd(name, excl_fpath, gen_fpath, econ_fpath, res_fpath,
tm_dset, excl_dict, check_excl_layers, res_class_dset,
res_class_bins, cf_dset, lcoe_dset, h5_dsets,
data_layers, resolution, excl_area, power_density,
area_filter_kernel, min_area, friction_fpath,
friction_dset, out_dir, log_dir, verbose)
slurm_manager = ctx.obj.get('SLURM_MANAGER', None)
if slurm_manager is None:
slurm_manager = SLURM()
ctx.obj['SLURM_MANAGER'] = slurm_manager
status = Status.retrieve_job_status(out_dir,
'supply-curve-aggregation',
name,
hardware='eagle',
subprocess_manager=slurm_manager)
if status == 'successful':
msg = ('Job "{}" is successful in status json found in "{}", '
'not re-running.'.format(name, out_dir))
elif 'fail' not in str(status).lower() and status is not None:
msg = ('Job "{}" was found with status "{}", not resubmitting'.format(
name, status))
else:
logger.info('Running reV SC aggregation on SLURM with '
'node name "{}"'.format(name))
out = slurm_manager.sbatch(cmd,
alloc=alloc,
memory=memory,
walltime=walltime,
feature=feature,
name=name,
stdout_path=stdout_path,
conda_env=conda_env,
module=module)[0]
if out:
msg = ('Kicked off reV SC aggregation job "{}" '
'(SLURM jobid #{}).'.format(name, out))
Status.add_job(out_dir,
'supply-curve-aggregation',
name,
replace=True,
job_attrs={
'job_id': out,
'hardware': 'eagle',
'fout': '{}.csv'.format(name),
'dirout': out_dir
})
click.echo(msg)
logger.info(msg)
def submit_from_config(ctx, name, year, config, i, verbose=False):
"""Function to submit one year from a config file.
Parameters
----------
ctx : cli.ctx
Click context object. Use case: data = ctx.obj['key']
name : str
Job name.
year : int | str | NoneType
4 digit year or None.
config : reV.config.GenConfig
Generation config object.
i : int
Index variable associated with the index of the year in analysis years.
verbose : bool
Flag to turn on debug logging. Default is not verbose.
"""
res_files = config.parse_res_files()
# set the year-specific variables
ctx.obj['RES_FILE'] = res_files[i]
# check to make sure that the year matches the resource file
if str(year) not in res_files[i]:
warn('Resource file and year do not appear to match. '
'Expected the string representation of the year '
'to be in the resource file name. '
'Year: {}, Resource file: {}'.format(year, res_files[i]))
# if the year isn't in the name, add it before setting the file output
ctx.obj['FOUT'] = make_fout(name, year)
# invoke direct methods based on the config execution option
if config.execution_control.option == 'local':
name_year = make_fout(name, year).replace('.h5', '')
ctx.obj['NAME'] = name_year
status = Status.retrieve_job_status(config.dirout, 'generation',
name_year)
if status != 'successful':
Status.add_job(config.dirout,
'generation',
name_year,
replace=True,
job_attrs={
'hardware': 'local',
'fout': ctx.obj['FOUT'],
'dirout': config.dirout
})
ctx.invoke(local,
max_workers=config.execution_control.max_workers,
timeout=config.timeout,
points_range=None,
verbose=verbose)
elif config.execution_control.option in ('eagle', 'slurm'):
if not parse_year(name, option='bool') and year:
# Add year to name before submitting
ctx.obj['NAME'] = '{}_{}'.format(name, str(year))
ctx.invoke(slurm,
nodes=config.execution_control.nodes,
alloc=config.execution_control.allocation,
walltime=config.execution_control.walltime,
memory=config.execution_control.memory,
feature=config.execution_control.feature,
conda_env=config.execution_control.conda_env,
module=config.execution_control.module,
stdout_path=os.path.join(config.logdir, 'stdout'),
verbose=verbose)
def collect_slurm(ctx, alloc, memory, walltime, feature, conda_env, module,
stdout_path, verbose):
"""Run collection on HPC via SLURM job submission."""
name = ctx.obj['NAME']
h5_file = ctx.obj['H5_FILE']
h5_dir = ctx.obj['H5_DIR']
log_dir = ctx.obj['LOG_DIR']
project_points = ctx.obj['PROJECT_POINTS']
dsets = ctx.obj['DSETS']
file_prefix = ctx.obj['FILE_PREFIX']
purge_chunks = ctx.obj['PURGE_CHUNKS']
verbose = any([verbose, ctx.obj['VERBOSE']])
cmd = get_node_cmd(name,
h5_file,
h5_dir,
project_points,
dsets,
file_prefix=file_prefix,
log_dir=log_dir,
purge_chunks=purge_chunks,
verbose=verbose)
status = Status.retrieve_job_status(os.path.dirname(h5_file), 'collect',
name)
if status == 'successful':
msg = ('Job "{}" is successful in status json found in "{}", '
'not re-running.'.format(name, os.path.dirname(h5_file)))
else:
logger.info(
'Running reV collection on SLURM with node name "{}", '
'collecting data to "{}" from "{}" with file prefix "{}".'.format(
name, h5_file, h5_dir, file_prefix))
# create and submit the SLURM job
slurm = SLURM(cmd,
alloc=alloc,
memory=memory,
walltime=walltime,
feature=feature,
name=name,
conda_env=conda_env,
module=module,
stdout_path=stdout_path)
if slurm.id:
msg = (
'Kicked off reV collection job "{}" (SLURM jobid #{}).'.format(
name, slurm.id))
# add job to reV status file.
Status.add_job(os.path.dirname(h5_file),
'collect',
name,
replace=True,
job_attrs={
'job_id': slurm.id,
'hardware': 'eagle',
'fout': os.path.basename(h5_file),
'dirout': os.path.dirname(h5_file)
})
else:
msg = ('Was unable to kick off reV collection job "{}". '
'Please see the stdout error messages'.format(name))
click.echo(msg)
logger.info(msg)
def slurm(ctx, alloc, memory, walltime, feature, conda_env, module,
stdout_path):
"""slurm (Eagle) submission tool for reV representative profiles."""
name = ctx.obj['NAME']
gen_fpath = ctx.obj['GEN_FPATH']
rev_summary = ctx.obj['REV_SUMMARY']
reg_cols = ctx.obj['REG_COLS']
cf_dset = ctx.obj['CF_DSET']
rep_method = ctx.obj['REP_METHOD']
err_method = ctx.obj['ERR_METHOD']
weight = ctx.obj['WEIGHT']
n_profiles = ctx.obj['N_PROFILES']
out_dir = ctx.obj['OUT_DIR']
log_dir = ctx.obj['LOG_DIR']
max_workers = ctx.obj['MAX_WORKERS']
aggregate_profiles = ctx.obj['AGGREGATE_PROFILES']
verbose = ctx.obj['VERBOSE']
if stdout_path is None:
stdout_path = os.path.join(log_dir, 'stdout/')
cmd = get_node_cmd(name, gen_fpath, rev_summary, reg_cols, cf_dset,
rep_method, err_method, weight, n_profiles, out_dir,
log_dir, max_workers, aggregate_profiles, verbose)
slurm_manager = ctx.obj.get('SLURM_MANAGER', None)
if slurm_manager is None:
slurm_manager = SLURM()
ctx.obj['SLURM_MANAGER'] = slurm_manager
status = Status.retrieve_job_status(out_dir,
'rep-profiles',
name,
hardware='eagle',
subprocess_manager=slurm_manager)
if status == 'successful':
msg = ('Job "{}" is successful in status json found in "{}", '
'not re-running.'.format(name, out_dir))
elif 'fail' not in str(status).lower() and status is not None:
msg = ('Job "{}" was found with status "{}", not resubmitting'.format(
name, status))
else:
logger.info('Running reV SC rep profiles on SLURM with '
'node name "{}"'.format(name))
out = slurm_manager.sbatch(cmd,
alloc=alloc,
memory=memory,
walltime=walltime,
feature=feature,
name=name,
stdout_path=stdout_path,
conda_env=conda_env,
module=module)[0]
if out:
msg = ('Kicked off reV rep profiles job "{}" '
'(SLURM jobid #{}).'.format(name, out))
Status.add_job(out_dir,
'rep-profiles',
name,
replace=True,
job_attrs={
'job_id': out,
'hardware': 'eagle',
'fout': '{}.h5'.format(name),
'dirout': out_dir
})
click.echo(msg)
logger.info(msg)
def from_config(ctx, config_file, verbose):
"""Run reV QA/QC from a config file."""
name = ctx.obj['NAME']
# Instantiate the config object
config = QaQcConfig(config_file)
# take name from config if not default
if config.name.lower() != 'rev':
name = config.name
ctx.obj['NAME'] = name
# Enforce verbosity if logging level is specified in the config
verbose = config.log_level == logging.DEBUG
# initialize loggers
init_mult(name, config.logdir, modules=['reV', 'rex'], verbose=verbose)
# Initial log statements
logger.info('Running reV supply curve from config '
'file: "{}"'.format(config_file))
logger.info('Target output directory: "{}"'.format(config.dirout))
logger.info('Target logging directory: "{}"'.format(config.logdir))
logger.debug('The full configuration input is as follows:\n{}'.format(
pprint.pformat(config, indent=4)))
if config.execution_control.option == 'local':
status = Status.retrieve_job_status(config.dirout, 'qa-qc', name)
if status != 'successful':
Status.add_job(config.dirout,
'qa-qc',
name,
replace=True,
job_attrs={
'hardware': 'local',
'dirout': config.dirout
})
terminal = False
for i, module in enumerate(config.module_names):
if i == len(config.module_names) - 1:
terminal = True
module_config = config.get_module_inputs(module)
fpath = module_config.fpath
if module.lower() == 'exclusions':
log_file = os.path.join(
config.logdir,
os.path.basename(fpath).replace('.h5', '.log'))
afk = module_config.area_filter_kernel
ctx.invoke(exclusions,
excl_fpath=fpath,
out_dir=config.dirout,
sub_dir=module_config.sub_dir,
excl_dict=module_config.excl_dict,
area_filter_kernel=afk,
min_area=module_config.min_area,
plot_type=module_config.plot_type,
cmap=module_config.cmap,
plot_step=module_config.plot_step,
log_file=log_file,
verbose=verbose,
terminal=terminal)
elif fpath.endswith('.h5'):
log_file = os.path.join(
config.logdir,
os.path.basename(fpath).replace('.h5', '.log'))
ctx.invoke(reV_h5,
h5_file=fpath,
out_dir=config.dirout,
sub_dir=module_config.sub_dir,
dsets=module_config.dsets,
group=module_config.group,
process_size=module_config.process_size,
max_workers=module_config.max_workers,
plot_type=module_config.plot_type,
cmap=module_config.cmap,
log_file=log_file,
verbose=verbose,
terminal=terminal)
elif fpath.endswith('.csv'):
log_file = os.path.join(
config.logdir,
os.path.basename(fpath).replace('.csv', '.log'))
ctx.invoke(supply_curve,
sc_table=fpath,
out_dir=config.dirout,
sub_dir=module_config.sub_dir,
columns=module_config.columns,
plot_type=module_config.plot_type,
cmap=module_config.cmap,
lcoe=module_config.lcoe,
log_file=log_file,
verbose=verbose,
terminal=terminal)
else:
msg = (
"Cannot run QA/QC for {}: 'fpath' must be a '*.h5' "
"or '*.csv' reV output file, but {} was given!".format(
module, fpath))
logger.error(msg)
raise ValueError(msg)
elif config.execution_control.option in ('eagle', 'slurm'):
launch_slurm(config, verbose)
def from_config(ctx, config_file, verbose):
"""Run reV representative profiles from a config file."""
name = ctx.obj['NAME']
# Instantiate the config object
config = RepProfilesConfig(config_file)
# take name from config if not default
if config.name.lower() != 'rev':
name = config.name
ctx.obj['NAME'] = name
# Enforce verbosity if logging level is specified in the config
if config.log_level == logging.DEBUG:
verbose = True
# initialize loggers
init_mult(
name,
config.logdir,
modules=[__name__, 'reV.config', 'reV.utilities', 'rex.utilities'],
verbose=verbose)
# Initial log statements
logger.info('Running reV representative profiles from config '
'file: "{}"'.format(config_file))
logger.info('Target output directory: "{}"'.format(config.dirout))
logger.info('Target logging directory: "{}"'.format(config.logdir))
logger.debug('The full configuration input is as follows:\n{}'.format(
pprint.pformat(config, indent=4)))
if config.years[0] is not None and '{}' in config.cf_dset:
fpaths = [config.gen_fpath for _ in config.years]
names = [name + '_{}'.format(y) for y in config.years]
dsets = [config.cf_dset.format(y) for y in config.years]
elif config.years[0] is not None and '{}' in config.gen_fpath:
fpaths = [config.gen_fpath.format(y) for y in config.years]
names = [name + '_{}'.format(y) for y in config.years]
dsets = [config.cf_dset for _ in config.years]
else:
fpaths = [config.gen_fpath]
names = [name]
dsets = [config.cf_dset]
for name, gen_fpath, dset in zip(names, fpaths, dsets):
if config.execution_control.option == 'local':
status = Status.retrieve_job_status(config.dirout, 'rep-profiles',
name)
if status != 'successful':
Status.add_job(config.dirout,
'rep-profiles',
name,
replace=True,
job_attrs={
'hardware': 'local',
'fout': '{}.h5'.format(name),
'dirout': config.dirout
})
ctx.invoke(direct,
gen_fpath=gen_fpath,
rev_summary=config.rev_summary,
reg_cols=config.reg_cols,
cf_dset=dset,
rep_method=config.rep_method,
err_method=config.err_method,
weight=config.weight,
out_dir=config.dirout,
log_dir=config.logdir,
n_profiles=config.n_profiles,
max_workers=config.execution_control.max_workers,
aggregate_profiles=config.aggregate_profiles,
verbose=verbose)
elif config.execution_control.option in ('eagle', 'slurm'):
ctx.obj['NAME'] = name
ctx.obj['GEN_FPATH'] = gen_fpath
ctx.obj['REV_SUMMARY'] = config.rev_summary
ctx.obj['REG_COLS'] = config.reg_cols
ctx.obj['CF_DSET'] = dset
ctx.obj['REP_METHOD'] = config.rep_method
ctx.obj['ERR_METHOD'] = config.err_method
ctx.obj['WEIGHT'] = config.weight
ctx.obj['N_PROFILES'] = config.n_profiles
ctx.obj['OUT_DIR'] = config.dirout
ctx.obj['LOG_DIR'] = config.logdir
ctx.obj['MAX_WORKERS'] = config.execution_control.max_workers
ctx.obj['AGGREGATE_PROFILES'] = config.aggregate_profiles
ctx.obj['VERBOSE'] = verbose
ctx.invoke(slurm,
alloc=config.execution_control.allocation,
memory=config.execution_control.memory,
walltime=config.execution_control.walltime,
feature=config.execution_control.feature,
conda_env=config.execution_control.conda_env,
module=config.execution_control.module)
def from_config(ctx, config_file, verbose):
"""Run reV supply curve compute from a config file."""
name = ctx.obj['NAME']
# Instantiate the config object
config = SupplyCurveConfig(config_file)
# take name from config if not default
if config.name.lower() != 'rev':
name = config.name
ctx.obj['NAME'] = name
# Enforce verbosity if logging level is specified in the config
if config.log_level == logging.DEBUG:
verbose = True
# initialize loggers
init_mult(
name,
config.logdir,
modules=[__name__, 'reV.config', 'reV.utilities', 'rex.utilities'],
verbose=verbose)
# Initial log statements
logger.info('Running reV supply curve from config '
'file: "{}"'.format(config_file))
logger.info('Target output directory: "{}"'.format(config.dirout))
logger.info('Target logging directory: "{}"'.format(config.logdir))
logger.debug('The full configuration input is as follows:\n{}'.format(
pprint.pformat(config, indent=4)))
if config.execution_control.option == 'local':
status = Status.retrieve_job_status(config.dirout, 'supply-curve',
name)
if status != 'successful':
Status.add_job(config.dirout,
'supply-curve',
name,
replace=True,
job_attrs={
'hardware': 'local',
'fout': '{}.csv'.format(name),
'dirout': config.dirout
})
ctx.invoke(direct,
sc_points=config.sc_points,
trans_table=config.trans_table,
fixed_charge_rate=config.fixed_charge_rate,
sc_features=config.sc_features,
transmission_costs=config.transmission_costs,
sort_on=config.sort_on,
wind_dirs=config.wind_dirs,
n_dirs=config.n_dirs,
downwind=config.downwind,
max_workers=config.max_workers,
out_dir=config.dirout,
log_dir=config.logdir,
simple=config.simple,
line_limited=config.line_limited,
verbose=verbose)
elif config.execution_control.option in ('eagle', 'slurm'):
ctx.obj['NAME'] = name
ctx.obj['SC_POINTS'] = config.sc_points
ctx.obj['TRANS_TABLE'] = config.trans_table
ctx.obj['FIXED_CHARGE_RATE'] = config.fixed_charge_rate
ctx.obj['SC_FEATURES'] = config.sc_features
ctx.obj['TRANSMISSION_COSTS'] = config.transmission_costs
ctx.obj['SORT_ON'] = config.sort_on
ctx.obj['OFFSHORE_TRANS_TABLE'] = config.offshore_trans_table
ctx.obj['WIND_DIRS'] = config.wind_dirs
ctx.obj['N_DIRS'] = config.n_dirs
ctx.obj['DOWNWIND'] = config.downwind
ctx.obj['OFFSHORE_COMPETE'] = config.offshore_compete
ctx.obj['MAX_WORKERS'] = config.max_workers
ctx.obj['OUT_DIR'] = config.dirout
ctx.obj['LOG_DIR'] = config.logdir
ctx.obj['SIMPLE'] = config.simple
ctx.obj['LINE_LIMITED'] = config.line_limited
ctx.obj['VERBOSE'] = verbose
ctx.invoke(slurm,
alloc=config.execution_control.allocation,
memory=config.execution_control.memory,
walltime=config.execution_control.walltime,
feature=config.execution_control.feature,
conda_env=config.execution_control.conda_env,
module=config.execution_control.module)
def slurm(ctx, nodes, alloc, memory, walltime, feature, conda_env, module,
stdout_path, verbose):
"""Run generation on HPC via SLURM job submission."""
name = ctx.obj['NAME']
tech = ctx.obj['TECH']
points = ctx.obj['POINTS']
sam_files = ctx.obj['SAM_FILES']
res_file = ctx.obj['RES_FILE']
sites_per_worker = ctx.obj['SITES_PER_WORKER']
fout = ctx.obj['FOUT']
dirout = ctx.obj['DIROUT']
logdir = ctx.obj['LOGDIR']
output_request = ctx.obj['OUTPUT_REQUEST']
max_workers = ctx.obj['MAX_WORKERS']
mem_util_lim = ctx.obj['MEM_UTIL_LIM']
timeout = ctx.obj['TIMEOUT']
curtailment = ctx.obj['CURTAILMENT']
downscale = ctx.obj['DOWNSCALE']
verbose = any([verbose, ctx.obj['VERBOSE']])
# initialize an info logger on the year level
init_mult(name, logdir, modules=[__name__, 'reV.generation.generation',
'reV.config', 'reV.utilities', 'reV.SAM'],
verbose=False)
pc = get_node_pc(points, sam_files, tech, res_file, nodes)
for i, split in enumerate(pc):
node_name, fout_node = get_node_name_fout(name, fout, i, pc,
hpc='slurm')
cmd = get_node_cmd(node_name, tech, sam_files, res_file,
points=points, points_range=split.split_range,
sites_per_worker=sites_per_worker,
max_workers=max_workers, fout=fout_node,
dirout=dirout, logdir=logdir,
output_request=output_request,
mem_util_lim=mem_util_lim, timeout=timeout,
curtailment=curtailment,
downscale=downscale, verbose=verbose)
status = Status.retrieve_job_status(dirout, 'generation', node_name)
if status == 'successful':
msg = ('Job "{}" is successful in status json found in "{}", '
'not re-running.'
.format(node_name, dirout))
else:
logger.info('Running reV generation on SLURM with node name "{}" '
'for {} (points range: {}).'
.format(node_name, pc, split.split_range))
# create and submit the SLURM job
slurm = SLURM(cmd, alloc=alloc, memory=memory, walltime=walltime,
feature=feature, name=node_name,
stdout_path=stdout_path, conda_env=conda_env,
module=module)
if slurm.id:
msg = ('Kicked off reV generation job "{}" (SLURM jobid #{}).'
.format(node_name, slurm.id))
# add job to reV status file.
Status.add_job(
dirout, 'generation', node_name, replace=True,
job_attrs={'job_id': slurm.id, 'hardware': 'eagle',
'fout': fout_node, 'dirout': dirout})
else:
msg = ('Was unable to kick off reV generation job "{}". '
'Please see the stdout error messages'
.format(node_name))
click.echo(msg)
logger.info(msg)