Source code for openquake.calculators.reportwriter

# -*- coding: utf-8 -*-
# vim: tabstop=4 shiftwidth=4 softtabstop=4
# Copyright (C) 2015-2019 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
# 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 <>.

# 2015.06.26 13:21:50 CEST
Utilities to build a report writer generating a .rst report for a calculation
from openquake.baselib.python3compat import decode
import os
import sys
import logging
from openquake.baselib.python3compat import encode
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', 'csm_info': 'Composite source model', 'dupl_sources': 'Duplicated sources', 'required_params_per_trt': 'Required parameters per tectonic region type', 'ruptures_per_trt': 'Number of ruptures per tectonic region type', 'ruptures_events': 'Specific information for event based', 'rlzs_assoc': 'Realizations per (GRP, GSIM)', '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:classical_split_filter:0': 'Fastest task', 'task:classical_split_filter:-1': 'Slowest task', 'task_info': 'Information about the tasks', 'times_by_source_class': '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['csm_info'].get_num_rlzs() except KeyError: num_rlzs = '?' versions = sorted(dstore['/'].attrs.items()) self.text += '\n\n' + views.rst_table(versions) self.text += '\n\nnum_sites = %d, num_levels = %d, num_rlzs = %s' % ( len(dstore['sitecol']), len(oq.imtls.array), 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: text = views.view(name, self.dstore) if text: title = self.title[name] line = '-' * len(title) self.text += '\n'.join(['\n\n' + title, line, text])
[docs] def make_report(self): """Build the report and return a restructed text string""" oq, ds = self.oq, self.dstore for name in ('params', 'inputs'): self.add(name) if 'csm_info' in ds: self.add('csm_info') if ds['csm_info'].source_models[0].name != 'scenario': # required_params_per_trt makes no sense for GMFs from file self.add('required_params_per_trt') self.add('rlzs_assoc', ds['csm_info'].get_rlzs_assoc()) if 'csm_info' in ds: self.add('ruptures_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('times_by_source_class') self.add('dupl_sources') if 'task_info' in ds: self.add('task_info') tasks = set(ds['task_info']['taskname']) if 'classical_split_filter' in tasks: self.add('task:classical_split_filter:0') self.add('task:classical_split_filter:-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) """ calc_id = logs.init() oq = readinput.get_oqparam(job_ini) if oq.calculation_mode in 'classical disaggregation': 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, 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': calc.execute()'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: except IOError as exc: # permission error sys.stderr.write(str(exc) + '\n') readinput.exposure = None # ugly hack return report