# -*- coding: utf-8 -*-
# vim: tabstop=4 shiftwidth=4 softtabstop=4
#
# Copyright (C) 2010-2023 GEM Foundation
#
# OpenQuake is free software: you can redistribute it and/or modify it
# under the terms of the GNU Affero General Public License as published
# by the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# OpenQuake is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Affero General Public License for more details.
#
# You should have received a copy of the GNU Affero General Public License
# along with OpenQuake. If not, see <http://www.gnu.org/licenses/>.
"""
Set up some system-wide loggers
"""
import os
import re
import getpass
import logging
import traceback
from datetime import datetime
from openquake.baselib import config, zeromq, parallel, workerpool as w
from openquake.commonlib import readinput, dbapi
LEVELS = {'debug': logging.DEBUG,
'info': logging.INFO,
'warn': logging.WARNING,
'error': logging.ERROR,
'critical': logging.CRITICAL}
CALC_REGEX = r'(calc|cache)_(\d+)\.hdf5'
MODELS = [] # to be populated in get_tag
[docs]def get_tag(job_ini):
"""
:returns: the name of the model if job_ini belongs to the mosaic_dir
"""
if not MODELS: # first time
MODELS.extend(readinput.read_mosaic_df(buffer=.1).code)
splits = job_ini.split('/') # es. /home/michele/mosaic/EUR/in/job.ini
if len(splits) > 3 and splits[-3] in MODELS:
return splits[-3] # EUR
return ''
[docs]def dbcmd(action, *args):
"""
A dispatcher to the database server.
:param string action: database action to perform
:param tuple args: arguments
"""
dbhost = os.environ.get('OQ_DATABASE', config.dbserver.host)
if dbhost == '127.0.0.1' and getpass.getuser() != 'openquake':
# access the database directly
if action.startswith('workers_'):
master = w.WorkerMaster(-1) # current job
return getattr(master, action[8:])() # workers_(stop|kill)
from openquake.server.db import actions
try:
func = getattr(actions, action)
except AttributeError:
return dbapi.db(action, *args)
else:
return func(dbapi.db, *args)
# send a command to the database
tcp = 'tcp://%s:%s' % (dbhost, config.dbserver.port)
sock = zeromq.Socket(tcp, zeromq.zmq.REQ, 'connect',
timeout=600) # when the system is loaded
with sock:
res = sock.send((action,) + args)
if isinstance(res, parallel.Result):
return res.get()
return res
[docs]def dblog(level: str, job_id: int, task_no: int, msg: str):
"""
Log on the database
"""
task = 'task #%d' % task_no
return dbcmd('log', job_id, datetime.utcnow(), level, task, msg)
[docs]def get_datadir():
"""
Extracts the path of the directory where the openquake data are stored
from the environment ($OQ_DATADIR) or from the shared_dir in the
configuration file.
"""
datadir = os.environ.get('OQ_DATADIR')
if not datadir:
shared_dir = config.directory.shared_dir
if shared_dir:
user = getpass.getuser()
# special case for /opt/openquake/openquake -> /opt/openquake
datadir = os.path.join(shared_dir, user, 'oqdata').replace(
'openquake/openquake', 'openquake')
else: # use the home of the user
datadir = os.path.join(os.path.expanduser('~'), 'oqdata')
return datadir
[docs]def get_calc_ids(datadir=None):
"""
Extract the available calculation IDs from the datadir, in order.
"""
datadir = datadir or get_datadir()
if not os.path.exists(datadir):
return []
calc_ids = set()
for f in os.listdir(datadir):
mo = re.match(CALC_REGEX, f)
if mo:
calc_ids.add(int(mo.group(2)))
return sorted(calc_ids)
[docs]def get_last_calc_id(datadir=None):
"""
Extract the latest calculation ID from the given directory.
If none is found, return 0.
"""
datadir = datadir or get_datadir()
calcs = get_calc_ids(datadir)
if not calcs:
return 0
return calcs[-1]
def _update_log_record(self, record):
"""
Massage a log record before emitting it. Intended to be used by the
custom log handlers defined in this module.
"""
if not hasattr(record, 'hostname'):
record.hostname = '-'
if not hasattr(record, 'job_id'):
record.job_id = self.job_id
[docs]class LogStreamHandler(logging.StreamHandler):
"""
Log stream handler
"""
def __init__(self, job_id):
super().__init__()
self.job_id = job_id
[docs] def emit(self, record):
if record.levelname != 'CRITICAL':
_update_log_record(self, record)
super().emit(record)
[docs]class LogFileHandler(logging.FileHandler):
"""
Log file handler
"""
def __init__(self, job_id, log_file):
super().__init__(log_file)
self.job_id = job_id
self.log_file = log_file
[docs] def emit(self, record):
_update_log_record(self, record)
super().emit(record)
[docs]class LogDatabaseHandler(logging.Handler):
"""
Log stream handler
"""
def __init__(self, job_id):
super().__init__()
self.job_id = job_id
[docs] def emit(self, record):
dbcmd('log', self.job_id, datetime.utcnow(), record.levelname,
'%s/%s' % (record.processName, record.process),
record.getMessage())
[docs]class LogContext:
"""
Context manager managing the logging functionality
"""
oqparam = None
def __init__(self, params, log_level='info', log_file=None,
user_name=None, hc_id=None, host=None, tag=''):
self.log_level = log_level
self.log_file = log_file
self.user_name = user_name or getpass.getuser()
self.params = params
if 'inputs' not in self.params: # for reaggregate
self.tag = tag
else:
inputs = self.params['inputs']
self.tag = tag or get_tag(inputs.get('job_ini', '<in-memory>'))
if hc_id:
self.params['hazard_calculation_id'] = hc_id
calc_id = int(params.get('job_id', 0))
if calc_id == 0:
datadir = get_datadir()
self.calc_id = dbcmd(
'create_job', datadir,
self.params['calculation_mode'],
self.params.get('description', 'test'),
user_name, hc_id, host)
path = os.path.join(datadir, 'calc_%d.hdf5' % self.calc_id)
if os.path.exists(path): # sanity check on the calculation ID
raise RuntimeError('There is a pre-existing file %s' % path)
self.usedb = True
else:
# assume the calc_id was alreay created in the db
assert calc_id > 0, calc_id
self.calc_id = calc_id
self.usedb = True
[docs] def get_oqparam(self, validate=True):
"""
:returns: an OqParam instance
"""
if self.oqparam: # set by submit_job
return self.oqparam
return readinput.get_oqparam(self.params, validate=validate)
def __enter__(self):
if not logging.root.handlers: # first time
level = LEVELS.get(self.log_level, self.log_level)
logging.basicConfig(level=level, handlers=[])
f = '[%(asctime)s #{} {}%(levelname)s] %(message)s'.format(
self.calc_id, self.tag + ' ' if self.tag else '')
self.handlers = [LogDatabaseHandler(self.calc_id)] \
if self.usedb else []
if self.log_file is None:
# add a StreamHandler if not already there
if not any(h for h in logging.root.handlers
if isinstance(h, logging.StreamHandler)):
self.handlers.append(LogStreamHandler(self.calc_id))
else:
self.handlers.append(LogFileHandler(self.calc_id, self.log_file))
for handler in self.handlers:
handler.setFormatter(
logging.Formatter(f, datefmt='%Y-%m-%d %H:%M:%S'))
logging.root.addHandler(handler)
if os.environ.get('NUMBA_DISABLE_JIT'):
logging.warning('NUMBA_DISABLE_JIT is set')
return self
def __exit__(self, etype, exc, tb):
if tb:
logging.critical(traceback.format_exc())
dbcmd('finish', self.calc_id, 'failed')
else:
dbcmd('finish', self.calc_id, 'complete')
for handler in self.handlers:
logging.root.removeHandler(handler)
parallel.Starmap.shutdown()
def __getstate__(self):
# ensure pickleability
return dict(calc_id=self.calc_id, params=self.params, usedb=self.usedb,
log_level=self.log_level, log_file=self.log_file,
user_name=self.user_name, oqparam=self.oqparam,
tag=self.tag)
def __repr__(self):
hc_id = self.params.get('hazard_calculation_id')
return '<%s#%d, hc_id=%s>' % (self.__class__.__name__,
self.calc_id, hc_id)
[docs]def init(job_ini, dummy=None, log_level='info', log_file=None,
user_name=None, hc_id=None, host=None, tag=''):
"""
:param job_ini: path to the job.ini file or dictionary of parameters
:param dummy: ignored parameter, exists for backward compatibility
:param log_level: the log level as a string or number
:param log_file: path to the log file (if any)
:param user_name: user running the job (None means current user)
:param hc_id: parent calculation ID (default None)
:param host: machine where the calculation is running (default None)
:param tag: tag (for instance the model name) to show before the log
message
:returns: a LogContext instance
1. initialize the root logger (if not already initialized)
2. set the format of the root log handlers (if any)
3. create a job in the database if job_or_calc == "job"
4. return a LogContext instance associated to a calculation ID
"""
if job_ini in ('job', 'calc'): # backward compatibility
job_ini = dummy
if not isinstance(job_ini, dict):
job_ini = readinput.get_params(job_ini)
return LogContext(job_ini, log_level, log_file,
user_name, hc_id, host, tag)
