Source code for openquake.calculators.reportwriter
# -*- coding: utf-8 -*-
# vim: tabstop=4 shiftwidth=4 softtabstop=4
#
# Copyright (C) 2015-2023 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/>.
# 2015.06.26 13:21:50 CEST
"""
Utilities to build a report writer generating a .rst report for a calculation
"""
import os
import sys
import getpass
import logging
import numpy
import pandas
from openquake.baselib.python3compat import encode, decode
from openquake.commonlib import readinput, logs
from openquake.calculators import views
[docs]def indent(text):
return ' ' + '\n '.join(text.splitlines())
[docs]class ReportWriter(object):
"""
A particularly smart view over the datastore
"""
title = {
'params': 'Parameters',
'inputs': 'Input files',
'required_params_per_trt':
'Required parameters per tectonic region type',
'ruptures_events': 'Specific information for event based',
'job_info': 'Data transfer',
'biggest_ebr_gmf': 'Maximum memory allocated for the GMFs',
'avglosses_data_transfer': 'Estimated data transfer for the avglosses',
'exposure_info': 'Exposure model',
'slow_sources': 'Slowest sources',
'task:start_classical:0': 'Fastest task',
'task:start_classical:-1': 'Slowest task',
'task_info': 'Information about the tasks',
'weight_by_src': 'Computation times by source typology',
'performance': 'Slowest operations',
}
def __init__(self, dstore):
self.dstore = dstore
self.oq = oq = dstore['oqparam']
self.text = (decode(oq.description) + '\n' + '=' * len(oq.description))
try:
num_rlzs = dstore['full_lt'].get_num_paths()
except KeyError:
num_rlzs = '?'
versions = sorted(dstore['/'].attrs.items())
self.text += '\n\n' + views.text_table(versions)
self.text += '\n\nnum_sites = %d, num_levels = %d, num_rlzs = %s' % (
len(dstore['sitecol']), oq.imtls.size if oq.imtls else 0, num_rlzs)
[docs] def add(self, name, obj=None):
"""Add the view named `name` to the report text"""
if obj:
text = '\n::\n\n' + indent(str(obj))
else:
res = views.view(name, self.dstore)
if isinstance(res, (numpy.ndarray, pandas.DataFrame)):
text = views.text_table(res)
else:
text = res
if text:
title = self.title[name]
line = '-' * len(title)
self.text += '\n'.join(['\n\n' + title, line, text])
[docs] def make_report(self, show_inputs=True):
"""Build the report and return a restructed text string"""
oq, ds = self.oq, self.dstore
if show_inputs:
for name in ('params', 'inputs'):
self.add(name)
if 'full_lt' in ds:
self.add('required_params_per_trt')
if 'rup_data' in ds:
self.add('ruptures_events')
if oq.calculation_mode in ('event_based_risk',):
self.add('avglosses_data_transfer')
if 'exposure' in oq.inputs:
self.add('exposure_info')
if 'source_info' in ds:
self.add('slow_sources')
self.add('weight_by_src')
if 'task_info' in ds:
self.add('task_info')
tasks = set(ds['task_info']['taskname'])
if 'start_classical' in tasks:
self.add('task:start_classical:0')
self.add('task:start_classical:-1')
self.add('job_info')
if 'performance_data' in ds:
self.add('performance')
return self.text
[docs] def save(self, fname):
"""Save the report"""
with open(fname, 'wb') as f:
f.write(encode(self.text))
[docs]def build_report(job_ini, output_dir=None):
"""
Write a `report.csv` file with information about the calculation
without running it
:param job_ini:
full pathname of the job.ini file
:param output_dir:
the directory where the report is written (default the input directory)
"""
with logs.init('job', job_ini, user_name=getpass.getuser()) as log:
oq = log.get_oqparam()
if 'source_model_logic_tree' in oq.inputs:
oq.calculation_mode = 'preclassical'
oq.ground_motion_fields = False
output_dir = output_dir or os.path.dirname(job_ini)
from openquake.calculators import base # ugly
calc = base.calculators(oq, log.calc_id)
calc.save_params() # needed to save oqparam
# some taken is care so that the real calculation is not run:
# the goal is to extract information about the source management only
calc.pre_execute()
if oq.calculation_mode == 'preclassical':
csm = calc.execute()
calc.post_execute(csm)
logging.info('Making the .rst report')
rw = ReportWriter(calc.datastore)
rw.make_report()
report = (os.path.join(output_dir, 'report.rst') if output_dir
else calc.datastore.export_path('report.rst'))
try:
rw.save(report)
except IOError as exc: # permission error
sys.stderr.write(str(exc) + '\n')
return report