# -*- coding: utf-8 -*-
"""
obspy.core.event.base - Classes for handling event metadata
===========================================================
This module provides a class hierarchy to consistently handle event metadata.
This class hierarchy is closely modelled after the de-facto standard format
`QuakeML <https://quake.ethz.ch/quakeml/>`_.
.. figure:: /_images/Event.png
.. note::
For handling additional information not covered by the QuakeML standard and
how to output it to QuakeML see the :ref:`ObsPy Tutorial <quakeml-extra>`.
:copyright:
The ObsPy Development Team (devs@obspy.org)
:license:
GNU Lesser General Public License, Version 3
(https://www.gnu.org/copyleft/lesser.html)
"""
from __future__ import (absolute_import, division, print_function,
unicode_literals)
from future.builtins import * # NOQA
from future.utils import native_str
import copy
import warnings
import numpy as np
from obspy.core.event.resourceid import ResourceIdentifier
from obspy.core.event.header import DataUsedWaveType, ATTRIBUTE_HAS_ERRORS
from obspy.core.utcdatetime import UTCDateTime
from obspy.core.util import AttribDict
[docs]class QuantityError(AttribDict):
"""
Uncertainty information for a physical quantity.
:type uncertainty: float
:param uncertainty: Uncertainty as the absolute value of symmetric
deviation from the main value.
:type lower_uncertainty: float
:param lower_uncertainty: Uncertainty as the absolute value of deviation
from the main value towards smaller values.
:type upper_uncertainty: float
:param upper_uncertainty: Uncertainty as the absolute value of deviation
from the main value towards larger values.
:type confidence_level: float
:param confidence_level: Confidence level of the uncertainty, given in
percent (0-100).
"""
defaults = {"uncertainty": None, "lower_uncertainty": None,
"upper_uncertainty": None, "confidence_level": None}
warn_on_non_default_key = True
[docs] def __init__(self, uncertainty=None, lower_uncertainty=None,
upper_uncertainty=None, confidence_level=None):
super(QuantityError, self).__init__()
self.uncertainty = uncertainty
self.lower_uncertainty = lower_uncertainty
self.upper_uncertainty = upper_uncertainty
self.confidence_level = confidence_level
[docs] def __bool__(self):
"""
Boolean testing for QuantityError.
QuantityError evaluates ``True`` if any of the default fields is not
``None``. Setting non default fields raises also an UserWarning which
is the reason we have to skip those lines in the doctest below.
>>> err = QuantityError()
>>> bool(err)
False
>>> err.custom_field = "spam" # doctest: +SKIP
>>> bool(err)
False
>>> err.uncertainty = 0.05
>>> bool(err)
True
>>> del err.custom_field # doctest: +SKIP
>>> bool(err)
True
"""
return any([getattr(self, key) is not None for key in self.defaults])
[docs] def __eq__(self, other):
if other is None and not bool(self):
return True
return super(QuantityError, self).__eq__(other)
# Python 2 compatibility
__nonzero__ = __bool__
[docs]def _bool(value):
"""
A custom bool() implementation that returns
True for any value (including zero) of int and float,
and for (empty) strings.
"""
if value == 0 or isinstance(value, (str, native_str)):
return True
return bool(value)
[docs]def _event_type_class_factory(class_name, class_attributes=[],
class_contains=[]):
"""
Class factory to unify the creation of all the types needed for the event
handling in ObsPy.
The types oftentimes share attributes and setting them manually every time
is cumbersome, error-prone and hard to do consistently. The classes created
with this method will inherit from :class:`~obspy.core.util.AttribDict`.
Usage to create a new class type:
The created class will assure that any given (key, type) attribute pairs
will always be of the given type and will attempt to convert any given
value to the correct type and raise an error otherwise. This happens to
values given during initialization as well as values set when the object
has already been created. A useful type is Enum if you want to restrict
the acceptable values.
>>> from obspy.core.util import Enum
>>> MyEnum = Enum(["a", "b", "c"])
>>> class_attributes = [ \
("resource_id", ResourceIdentifier), \
("creation_info", CreationInfo), \
("some_letters", MyEnum), \
("some_error_quantity", float, ATTRIBUTE_HAS_ERRORS), \
("description", str)]
Furthermore the class can contain lists of other objects. There is not much
to it so far. Giving the name of the created class is mandatory.
>>> class_contains = ["comments"]
>>> TestEventClass = _event_type_class_factory("TestEventClass", \
class_attributes=class_attributes, \
class_contains=class_contains)
>>> assert(TestEventClass.__name__ == "TestEventClass")
Now the new class type can be used.
>>> test_event = TestEventClass(resource_id="event/123456", \
creation_info={"author": "obspy.org", "version": "0.1"})
All given arguments will be converted to the right type upon setting them.
>>> test_event.resource_id
ResourceIdentifier(id="event/123456")
>>> print(test_event.creation_info)
CreationInfo(author='obspy.org', version='0.1')
All others will be set to None.
>>> assert(test_event.description is None)
>>> assert(test_event.some_letters is None)
If the resource_id attribute of the created class type is set, the object
the ResourceIdentifier refers to will be the class instance.
>>> assert(id(test_event) == \
id(test_event.resource_id.get_referred_object()))
They can be set later and will be converted to the appropriate type if
possible.
>>> test_event.description = 1
>>> assert(test_event.description == "1")
Trying to set with an inappropriate value will raise an error.
>>> test_event.some_letters = "d" # doctest:+ELLIPSIS
Traceback (most recent call last):
...
ValueError: Setting attribute "some_letters" failed. ...
If you pass ``ATTRIBUTE_HAS_ERRORS`` as the third tuple item for the
class_attributes, a error (type
:class:`~obspy.core.event.base.QuantityError`) will be be created that will
be named like the attribute with "_errors" appended.
>>> assert(hasattr(test_event, "some_error_quantity_errors"))
>>> test_event.some_error_quantity_errors # doctest: +ELLIPSIS
QuantityError(...)
"""
class AbstractEventType(AttribDict):
# Keep the class attributes in a class level list for a manual property
# implementation that works when inheriting from AttribDict.
_properties = []
for item in class_attributes:
_properties.append((item[0], item[1]))
if len(item) == 3 and item[2] == ATTRIBUTE_HAS_ERRORS:
_properties.append((item[0] + "_errors", QuantityError))
_property_keys = [_i[0] for _i in _properties]
_property_dict = {}
for key, value in _properties:
_property_dict[key] = value
_containers = class_contains
warn_on_non_default_key = True
defaults = dict.fromkeys(class_contains, [])
defaults.update(dict.fromkeys(_property_keys, None))
do_not_warn_on = ["extra"]
def __init__(self, *args, **kwargs):
# Make sure the args work as expected. Therefore any specified
# arg will overwrite a potential kwarg, e.g. arg at position 0 will
# overwrite kwargs class_attributes[0].
for _i, item in enumerate(args):
# Use the class_attributes list here because it is not yet
# polluted be the error quantities.
kwargs[class_attributes[_i][0]] = item
# Set all property values to None or the kwarg value.
for key, _ in self._properties:
value = kwargs.get(key, None)
# special handling for resource id
if key == "resource_id":
if kwargs.get("force_resource_id", False):
if value is None:
value = ResourceIdentifier()
setattr(self, key, value)
# Containers currently are simple lists.
for name in self._containers:
setattr(self, name, list(kwargs.get(name, [])))
# All errors are QuantityError. If they are not set yet, set them
# now.
for key, _ in self._properties:
if key.endswith("_errors") and getattr(self, key) is None:
setattr(self, key, QuantityError())
def clear(self):
super(AbstractEventType, self).clear()
self.__init__(force_resource_id=False)
def __str__(self, force_one_line=False):
"""
Fairly extensive in an attempt to cover several use cases. It is
always possible to change it in the child class.
"""
# Get the attribute and containers that are to be printed. Only not
# None attributes and non-error attributes are printed. The errors
# will appear behind the actual value.
# We use custom _bool() for testing getattr() since we want to
# print int and float values that are equal to zero and empty
# strings.
attributes = [_i for _i in self._property_keys if not
_i.endswith("_errors") and _bool(getattr(self, _i))]
containers = [_i for _i in self._containers if
_bool(getattr(self, _i))]
# Get the longest attribute/container name to print all of them
# nicely aligned.
max_length = max(max([len(_i) for _i in attributes])
if attributes else 0,
max([len(_i) for _i in containers])
if containers else 0) + 1
ret_str = self.__class__.__name__
# Case 1: Empty object.
if not attributes and not containers:
return ret_str + "()"
def get_value_repr(key):
value = getattr(self, key)
if isinstance(value, (str, native_str)):
value = native_str(value)
repr_str = value.__repr__()
# Print any associated errors.
error_key = key + "_errors"
if self.get(error_key, False):
err_items = sorted(getattr(self, error_key).items())
repr_str += " [%s]" % ', '.join(
sorted([str(k) + "=" + str(v) for k, v in err_items
if v is not None]))
return repr_str
# Case 2: Short representation for small objects. Will just print a
# single line.
if len(attributes) <= 3 and not containers or\
force_one_line:
att_strs = ["%s=%s" % (_i, get_value_repr(_i))
for _i in attributes if _bool(getattr(self, _i))]
ret_str += "(%s)" % ", ".join(att_strs)
return ret_str
# Case 3: Verbose string representation for large object.
if attributes:
format_str = "%" + str(max_length) + "s: %s"
att_strs = [format_str % (_i, get_value_repr(_i))
for _i in attributes if _bool(getattr(self, _i))]
ret_str += "\n\t" + "\n\t".join(att_strs)
# For the containers just print the number of elements in each.
if containers:
# Print delimiter only if there are attributes.
if attributes:
ret_str += '\n\t' + '---------'.rjust(max_length + 5)
element_str = "%" + str(max_length) + "s: %i Elements"
ret_str += "\n\t" + \
"\n\t".join(
[element_str % (_i, len(getattr(self, _i)))
for _i in containers])
return ret_str
def _repr_pretty_(self, p, cycle):
p.text(str(self))
def copy(self):
return copy.deepcopy(self)
def __repr__(self):
return self.__str__(force_one_line=True)
# called for bool on PY2
def __nonzero__(self):
return self.__bool__()
def __bool__(self):
# We use custom _bool() for testing getattr() since we want
# zero valued int and float and empty string attributes to be True.
if any([_bool(getattr(self, _i))
for _i in self._property_keys + self._containers]):
return True
return False
def __eq__(self, other):
"""
Two instances are considered equal if all attributes and all lists
are identical.
"""
# Looping should be quicker on average than a list comprehension
# because only the first non-equal attribute will already return.
for attrib in self._property_keys:
if not hasattr(other, attrib) or \
(getattr(self, attrib) != getattr(other, attrib)):
return False
for container in self._containers:
if not hasattr(other, container) or \
(getattr(self, container) != getattr(other, container)):
return False
return True
def __ne__(self, other):
return not self.__eq__(other)
def __setattr__(self, name, value):
"""
Custom property implementation that works if the class is
inheriting from AttribDict.
"""
# avoid type casting of 'extra' attribute, to make it possible to
# control ordering of extra tags by using an OrderedDict for
# 'extra'.
if name == 'extra':
dict.__setattr__(self, name, value)
return
# Pass to the parent method if not a custom property.
if name not in self._property_dict.keys():
AttribDict.__setattr__(self, name, value)
return
attrib_type = self._property_dict[name]
# If the value is None or already the correct type just set it.
if (value is not None) and (type(value) is not attrib_type):
# If it is a dict, and the attrib_type is no dict, than all
# values will be assumed to be keyword arguments.
if isinstance(value, dict):
new_value = attrib_type(**value)
else:
new_value = attrib_type(value)
if new_value is None:
msg = 'Setting attribute "%s" failed. ' % (name)
msg += 'Value "%s" could not be converted to type "%s"' % \
(str(value), str(attrib_type))
raise ValueError(msg)
value = new_value
# Make sure all floats are finite - otherwise this is most
# likely a user error.
if attrib_type is float and value is not None:
if not np.isfinite(value):
msg = "On %s object: Value '%s' for '%s' is " \
"not a finite floating point value." % (
type(self).__name__, str(value), name)
raise ValueError(msg)
AttribDict.__setattr__(self, name, value)
# if value is a resource id bind or unbind the resource_id
if isinstance(value, ResourceIdentifier):
if name == "resource_id": # bind the resource_id to self
self.resource_id.set_referred_object(self, warn=False)
else: # else unbind to allow event scoping later
value._parent_key = None
class AbstractEventTypeWithResourceID(AbstractEventType):
def __init__(self, force_resource_id=True, *args, **kwargs):
kwargs["force_resource_id"] = force_resource_id
super(AbstractEventTypeWithResourceID, self).__init__(*args,
**kwargs)
if "resource_id" in [item[0] for item in class_attributes]:
base_class = AbstractEventTypeWithResourceID
else:
base_class = AbstractEventType
# Set the class type name.
setattr(base_class, "__name__", native_str(class_name))
return base_class
__CreationInfo = _event_type_class_factory(
"__CreationInfo",
class_attributes=[("agency_id", str),
("agency_uri", ResourceIdentifier),
("author", str),
("author_uri", ResourceIdentifier),
("creation_time", UTCDateTime),
("version", str)])
[docs]class CreationInfo(__CreationInfo):
"""
CreationInfo is used to describe creation metadata (author, version, and
creation time) of a resource.
:type agency_id: str, optional
:param agency_id: Designation of agency that published a resource.
:type agency_uri: :class:`~obspy.core.event.resourceid.ResourceIdentifier`
:param agency_uri: Resource Identifier of the agency that published a
resource.
:type author: str, optional
:param author: Name describing the author of a resource.
:type author_uri: :class:`~obspy.core.event.resourceid.ResourceIdentifier`
:param author_uri: Resource Identifier of the author of a resource.
:type creation_time: :class:`~obspy.core.utcdatetime.UTCDateTime`, optional
:param creation_time: Time of creation of a resource.
:type version: str, optional
:param version: Version string of a resource
>>> info = CreationInfo(author="obspy.org", version="0.0.1")
>>> print(info)
CreationInfo(author='obspy.org', version='0.0.1')
.. note::
For handling additional information not covered by the QuakeML
standard and how to output it to QuakeML see the
:ref:`ObsPy Tutorial <quakeml-extra>`.
"""
__TimeWindow = _event_type_class_factory(
"__TimeWindow",
class_attributes=[("begin", float),
("end", float),
("reference", UTCDateTime)])
[docs]class TimeWindow(__TimeWindow):
"""
Describes a time window for amplitude measurements, given by a central
point in time, and points in time before and after this central point. Both
points before and after may coincide with the central point.
:type begin: float
:param begin: Absolute value of duration of time interval before reference
point in time window. The value may be zero, but not negative. Unit: s
:type end: float
:param end: Absolute value of duration of time interval after reference
point in time window. The value may be zero, but not negative. Unit: s
:type reference: :class:`~obspy.core.utcdatetime.UTCDateTime`
:param reference: Reference point in time ("central" point).
.. note::
For handling additional information not covered by the QuakeML
standard and how to output it to QuakeML see the
:ref:`ObsPy Tutorial <quakeml-extra>`.
"""
__CompositeTime = _event_type_class_factory(
"__CompositeTime",
class_attributes=[("year", int, ATTRIBUTE_HAS_ERRORS),
("month", int, ATTRIBUTE_HAS_ERRORS),
("day", int, ATTRIBUTE_HAS_ERRORS),
("hour", int, ATTRIBUTE_HAS_ERRORS),
("minute", int, ATTRIBUTE_HAS_ERRORS),
("second", float, ATTRIBUTE_HAS_ERRORS)])
[docs]class CompositeTime(__CompositeTime):
"""
Focal times differ significantly in their precision. While focal times of
instrumentally located earthquakes are estimated precisely down to seconds,
historic events have only incomplete time descriptions. Sometimes, even
contradictory information about the rupture time exist. The CompositeTime
type allows for such complex descriptions. If the specification is given
with no greater accuracy than days (i.e., no time components are given),
the date refers to local time. However, if time components are given, they
have to refer to UTC.
:type year: int
:param year: Year or range of years of the event's focal time.
:type year_errors: :class:`~obspy.core.event.base.QuantityError`
:param year_errors: AttribDict containing error quantities.
:type month: int
:param month: Month or range of months of the event’s focal time.
:type month_errors: :class:`~obspy.core.event.base.QuantityError`
:param month_errors: AttribDict containing error quantities.
:type day: int
:param day: Day or range of days of the event’s focal time.
:type day_errors: :class:`~obspy.core.event.base.QuantityError`
:param day_errors: AttribDict containing error quantities.
:type hour: int
:param hour: Hour or range of hours of the event’s focal time.
:type hour_errors: :class:`~obspy.core.event.base.QuantityError`
:param hour_errors: AttribDict containing error quantities.
:type minute: int
:param minute: Minute or range of minutes of the event’s focal time.
:type minute_errors: :class:`~obspy.core.event.base.QuantityError`
:param minute_errors: AttribDict containing error quantities.
:type second: float
:param second: Second and fraction of seconds or range of seconds with
fraction of the event’s focal time.
:type second_errors: :class:`~obspy.core.event.base.QuantityError`
:param second_errors: AttribDict containing error quantities.
>>> print(CompositeTime(2011, 1, 1))
CompositeTime(year=2011, month=1, day=1)
>>> # Can also be instantiated with the uncertainties.
>>> print(CompositeTime(year=2011, year_errors={"uncertainty":1}))
CompositeTime(year=2011 [uncertainty=1])
.. note::
For handling additional information not covered by the QuakeML
standard and how to output it to QuakeML see the
:ref:`ObsPy Tutorial <quakeml-extra>`.
"""
__Comment = _event_type_class_factory(
"__Comment",
class_attributes=[("text", str),
("resource_id", ResourceIdentifier),
("creation_info", CreationInfo)])
__WaveformStreamID = _event_type_class_factory(
"__WaveformStreamID",
class_attributes=[("network_code", str),
("station_code", str),
("channel_code", str),
("location_code", str),
("resource_uri", ResourceIdentifier)])
__ConfidenceEllipsoid = _event_type_class_factory(
"__ConfidenceEllipsoid",
class_attributes=[("semi_major_axis_length", float),
("semi_minor_axis_length", float),
("semi_intermediate_axis_length", float),
("major_axis_plunge", float),
("major_axis_azimuth", float),
("major_axis_rotation", float)])
[docs]class ConfidenceEllipsoid(__ConfidenceEllipsoid):
"""
This class represents a description of the location uncertainty as a
confidence ellipsoid with arbitrary orientation in space. See the QuakeML
documentation for the full details
:param semi_major_axis_length: Largest uncertainty, corresponding to the
semi-major axis of the confidence ellipsoid. Unit: m
:param semi_minor_axis_length: Smallest uncertainty, corresponding to the
semi-minor axis of the confidence ellipsoid. Unit: m
:param semi_intermediate_axis_length: Uncertainty in direction orthogonal
to major and minor axes of the confidence ellipsoid. Unit: m
:param major_axis_plunge: Plunge angle of major axis of confidence
ellipsoid. Corresponds to Tait-Bryan angle φ. Unit: deg
:param major_axis_azimuth: Azimuth angle of major axis of confidence
ellipsoid. Corresponds to Tait-Bryan angle ψ. Unit: deg
:param major_axis_rotation: This angle describes a rotation about the
confidence ellipsoid’s major axis which is required to define the
direction of the ellipsoid’s minor axis. Corresponds to Tait-Bryan
angle θ.
Unit: deg
.. note::
For handling additional information not covered by the QuakeML
standard and how to output it to QuakeML see the
:ref:`ObsPy Tutorial <quakeml-extra>`.
"""
__DataUsed = _event_type_class_factory(
"__DataUsed",
class_attributes=[("wave_type", DataUsedWaveType),
("station_count", int),
("component_count", int),
("shortest_period", float),
("longest_period", float)])
[docs]class DataUsed(__DataUsed):
"""
The DataUsed class describes the type of data that has been used for a
moment-tensor inversion.
:type wave_type: str
:param wave_type: Type of waveform data.
See :class:`~obspy.core.event.header.DataUsedWaveType` for allowed
values.
:type station_count: int, optional
:param station_count: Number of stations that have contributed data of the
type given in wave_type.
:type component_count: int, optional
:param component_count: Number of data components of the type given in
wave_type.
:type shortest_period: float, optional
:param shortest_period: Shortest period present in data. Unit: s
:type longest_period: float, optional
:param longest_period: Longest period present in data. Unit: s
.. note::
For handling additional information not covered by the QuakeML
standard and how to output it to QuakeML see the
:ref:`ObsPy Tutorial <quakeml-extra>`.
"""
if __name__ == '__main__':
import doctest
doctest.testmod(exclude_empty=True)