# -*- coding: utf-8 -*-
# vim: tabstop=4 shiftwidth=4 softtabstop=4
#
# Copyright (C) 2014-2017 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/>.
"""\
It is possible to save a Node object into a NRML file by using the
function ``write(nodes, output)`` where output is a file
object. If you want to make sure that the generated file is valid
according to the NRML schema just open it in 'w+' mode: immediately
after writing it will be read and validated. It is also possible to
convert a NRML file into a Node object with the routine
``read(node, input)`` where input is the path name of the
NRML file or a file object opened for reading. The file will be
validated as soon as opened.
For instance an exposure file like the following::
<?xml version='1.0' encoding='utf-8'?>
<nrml xmlns="http://openquake.org/xmlns/nrml/0.4"
xmlns:gml="http://www.opengis.net/gml">
<exposureModel
id="my_exposure_model_for_population"
category="population"
taxonomySource="fake population datasource">
<description>
Sample population
</description>
<assets>
<asset id="asset_01" number="7" taxonomy="IT-PV">
<location lon="9.15000" lat="45.16667" />
</asset>
<asset id="asset_02" number="7" taxonomy="IT-CE">
<location lon="9.15333" lat="45.12200" />
</asset>
</assets>
</exposureModel>
</nrml>
can be converted as follows:
>> nrml = read(<path_to_the_exposure_file.xml>)
Then subnodes and attributes can be conveniently accessed:
>> nrml.exposureModel.assets[0]['taxonomy']
'IT-PV'
>> nrml.exposureModel.assets[0]['id']
'asset_01'
>> nrml.exposureModel.assets[0].location['lon']
'9.15000'
>> nrml.exposureModel.assets[0].location['lat']
'45.16667'
The Node class provides no facility to cast strings into Python types;
this is a job for the Node class which can be subclassed and
supplemented by a dictionary of validators.
"""
from __future__ import print_function
import io
import re
import sys
import copy
import decimal
import logging
import operator
import collections
import numpy
from openquake.baselib.general import CallableDict, groupby
from openquake.baselib.node import (
node_to_xml, context, Node, striptag, ValidatingXmlParser, floatformat)
from openquake.hazardlib import valid, sourceconverter
F64 = numpy.float64
NAMESPACE = 'http://openquake.org/xmlns/nrml/0.4'
NRML05 = 'http://openquake.org/xmlns/nrml/0.5'
GML_NAMESPACE = 'http://www.opengis.net/gml'
SERIALIZE_NS_MAP = {None: NAMESPACE, 'gml': GML_NAMESPACE}
PARSE_NS_MAP = {'nrml': NAMESPACE, 'gml': GML_NAMESPACE}
[docs]class DuplicatedID(Exception):
"""Raised when two sources with the same ID are found in a source model"""
[docs]def get_tag_version(nrml_node):
"""
Extract from a node of kind NRML the tag and the version. For instance
from '{http://openquake.org/xmlns/nrml/0.4}fragilityModel' one gets
the pair ('fragilityModel', 'nrml/0.4').
"""
version, tag = re.search(r'(nrml/[\d\.]+)\}(\w+)', nrml_node.tag).groups()
return tag, version
[docs]def parse(fname, *args):
"""
Parse a NRML file and return an associated Python object. It works by
calling nrml.read() and node_to_obj() in sequence.
"""
[node] = read(fname)
return node_to_obj(node, fname, *args)
node_to_obj = CallableDict(keyfunc=get_tag_version, keymissing=lambda n, f: n)
# dictionary of functions with at least two arguments, node and fname
@node_to_obj.add(('sourceModel', 'nrml/0.4'))
[docs]def get_source_model_04(node, fname, converter):
sources = []
source_ids = set()
converter.fname = fname
for no, src_node in enumerate(node, 1):
src = converter.convert_node(src_node)
if src.source_id in source_ids:
raise DuplicatedID(
'The source ID %s is duplicated!' % src.source_id)
sources.append(src)
source_ids.add(src.source_id)
if no % 10000 == 0: # log every 10,000 sources parsed
logging.info('Instantiated %d sources from %s', no, fname)
if no % 10000 != 0:
logging.info('Instantiated %d sources from %s', no, fname)
groups = groupby(
sources, operator.attrgetter('tectonic_region_type'))
return sorted(sourceconverter.SourceGroup(trt, srcs)
for trt, srcs in groups.items())
@node_to_obj.add(('sourceModel', 'nrml/0.5'))
[docs]def get_source_model_05(node, fname, converter):
converter.fname = fname
groups = [] # expect a sequence of sourceGroup nodes
for src_group in node:
with context(fname, src_group):
if 'sourceGroup' not in src_group.tag:
raise ValueError('expected sourceGroup')
groups.append(converter.convert_node(src_group))
return sorted(groups)
validators = {
'strike': valid.strike_range,
'dip': valid.dip_range,
'rake': valid.rake_range,
'magnitude': valid.positivefloat,
'lon': valid.longitude,
'lat': valid.latitude,
'depth': valid.float_,
'upperSeismoDepth': valid.float_,
'lowerSeismoDepth': valid.float_,
'posList': valid.posList,
'pos': valid.lon_lat,
'aValue': float,
'bValue': valid.positivefloat,
'magScaleRel': valid.mag_scale_rel,
'tectonicRegion': str,
'ruptAspectRatio': valid.positivefloat,
'maxMag': valid.positivefloat,
'minMag': valid.positivefloat,
'binWidth': valid.positivefloat,
'probability': valid.probability,
'occurRates': valid.positivefloats,
'probs_occur': valid.pmf,
'weight': valid.probability,
'uncertaintyWeight': decimal.Decimal,
'alongStrike': valid.probability,
'downDip': valid.probability,
'totalMomentRate': valid.positivefloat,
'characteristicRate': valid.positivefloat,
'characteristicMag': valid.positivefloat,
'magnitudes': valid.positivefloats,
'id': valid.simple_id,
'rupture.id': valid.utf8, # event tag
'discretization': valid.compose(valid.positivefloat, valid.nonzero),
'IML': valid.positivefloats, # used in NRML 0.4
'imt': valid.intensity_measure_type,
'imls': valid.positivefloats,
'poes': valid.positivefloats,
'description': valid.utf8_not_empty,
'noDamageLimit': valid.NoneOr(valid.positivefloat),
'investigationTime': valid.positivefloat,
'poEs': valid.probabilities,
'gsimTreePath': lambda v: v.split('_'),
'sourceModelTreePath': lambda v: v.split('_'),
'poE': valid.probability,
'IMLs': valid.positivefloats,
'pos': valid.lon_lat,
'IMT': str,
'saPeriod': valid.positivefloat,
'saDamping': valid.positivefloat,
'quantileValue': valid.positivefloat,
'investigationTime': valid.positivefloat,
'poE': valid.probability,
'periods': valid.positivefloats,
'pos': valid.lon_lat,
'IMLs': valid.positivefloats,
'lon': valid.longitude,
'lat': valid.latitude,
'magBinEdges': valid.integers,
'distBinEdges': valid.integers,
'epsBinEdges': valid.integers,
'lonBinEdges': valid.longitudes,
'latBinEdges': valid.latitudes,
'type': valid.namelist,
'dims': valid.positiveints,
'poE': valid.probability,
'iml': valid.positivefloat,
'index': valid.positiveints,
'value': valid.positivefloat,
'assetLifeExpectancy': valid.positivefloat,
'interestRate': valid.positivefloat,
'statistics': valid.Choice('mean', 'quantile'),
'pos': valid.lon_lat,
'gmv': valid.positivefloat,
'spacing': valid.positivefloat,
'srcs_weights': valid.positivefloats,
}
[docs]class SourceModelParser(object):
"""
A source model parser featuring a cache.
:param converter:
:class:`openquake.commonlib.source.SourceConverter` instance
"""
def __init__(self, converter):
self.converter = converter
self.groups = {} # cache fname -> groups
self.fname_hits = collections.Counter() # fname -> number of calls
[docs] def parse_src_groups(self, fname, apply_uncertainties=None):
"""
:param fname:
the full pathname of the source model file
:param apply_uncertainties:
a function modifying the sources (or None)
"""
try:
groups = self.groups[fname]
except KeyError:
groups = self.groups[fname] = self.parse_groups(fname)
# NB: deepcopy is *essential* here
groups = [copy.deepcopy(g) for g in groups]
for group in groups:
nrup = 0
for src in group:
if apply_uncertainties:
apply_uncertainties(src)
src.num_ruptures = src.count_ruptures()
nrup += src.num_ruptures
# NB: if the user sets a wrong discretization parameter
# the call to `.count_ruptures()` can be ultra-slow
logging.debug("%s, %s: parsed %d source(s) with %d ruptures",
fname, group.trt, len(group), nrup)
self.fname_hits[fname] += 1
return groups
[docs] def parse_groups(self, fname):
"""
Parse all the groups and return them ordered by number of sources.
It does not count the ruptures, so it is relatively fast.
:param fname:
the full pathname of the source model file
"""
return parse(fname, self.converter)
[docs]def read(source, chatty=True, stop=None):
"""
Convert a NRML file into a validated Node object. Keeps
the entire tree in memory.
:param source:
a file name or file object open for reading
"""
vparser = ValidatingXmlParser(validators, stop)
nrml = vparser.parse_file(source)
if striptag(nrml.tag) != 'nrml':
raise ValueError('%s: expected a node of kind nrml, got %s' %
(source, nrml.tag))
# extract the XML namespace URL ('http://openquake.org/xmlns/nrml/0.5')
xmlns = nrml.tag.split('}')[0][1:]
if xmlns != NRML05 and chatty:
# for the moment NRML04 is still supported, so we hide the warning
logging.debug('%s is at an outdated version: %s', source, xmlns)
nrml['xmlns'] = xmlns
nrml['xmlns:gml'] = GML_NAMESPACE
return nrml
[docs]def write(nodes, output=sys.stdout, fmt='%.7E', gml=True, xmlns=None):
"""
Convert nodes into a NRML file. output must be a file
object open in write mode. If you want to perform a
consistency check, open it in read-write mode, then it will
be read after creation and validated.
:params nodes: an iterable over Node objects
:params output: a file-like object in write or read-write mode
:param fmt: format used for writing the floats (default '%.7E')
:param gml: add the http://www.opengis.net/gml namespace
:param xmlns: NRML namespace like http://openquake.org/xmlns/nrml/0.4
"""
root = Node('nrml', nodes=nodes)
namespaces = {xmlns or NRML05: ''}
if gml:
namespaces[GML_NAMESPACE] = 'gml:'
with floatformat(fmt):
node_to_xml(root, output, namespaces)
if hasattr(output, 'mode') and '+' in output.mode: # read-write mode
output.seek(0)
read(output) # validate the written file
[docs]def convert(node):
"""
Convert a node into a string in NRML format
"""
with io.BytesIO() as f:
write([node], f)
return f.getvalue().decode('utf-8')
if __name__ == '__main__':
import sys
for fname in sys.argv[1:]:
print('****** %s ******' % fname)
print(read(fname).to_str())
print()