Python Origin.creation_info方法代码示例

# 需要导入模块: from obspy.core.event import Origin [as 别名]
# 或者: from obspy.core.event.Origin import creation_info [as 别名]
    def _parse_record_ah(self, line, event):
        """
        Parses the 'additional hypocenter' record AH
        """
        date = line[2:10]
        time = line[11:20]
        # unused: hypocenter_quality = line[20]
        latitude = self._float(line[21:27])
        lat_type = line[27]
        longitude = self._float(line[29:36])
        lon_type = line[36]
        # unused: preliminary_flag = line[37]
        depth = self._float(line[38:43])
        # unused: depth_quality = line[43]
        standard_dev = self._float_unused(line[44:48])
        station_number = self._int_unused(line[48:51])
        phase_number = self._int_unused(line[51:55])
        source_code = line[56:60].strip()

        evid = event.resource_id.id.split('/')[-1]
        origin = Origin()
        res_id = '/'.join((res_id_prefix, 'origin', evid, source_code.lower()))
        origin.resource_id = ResourceIdentifier(id=res_id)
        origin.creation_info = CreationInfo(agency_id=source_code)
        origin.time = UTCDateTime(date + time)
        origin.latitude = latitude * self._coordinate_sign(lat_type)
        origin.longitude = longitude * self._coordinate_sign(lon_type)
        origin.depth = depth * 1000
        origin.depth_type = 'from location'
        origin.quality = OriginQuality()
        origin.quality.standard_error = standard_dev
        origin.quality.used_station_count = station_number
        origin.quality.used_phase_count = phase_number
        origin.origin_type = 'hypocenter'
        event.origins.append(origin)

# 需要导入模块: from obspy.core.event import Origin [as 别名]
# 或者: from obspy.core.event.Origin import creation_info [as 别名]
    def _parse_record_hy(self, line):
        """
        Parses the 'hypocenter' record HY
        """
        date = line[2:10]
        time = line[11:20]
        # unused: location_quality = line[20]
        latitude = self._float(line[21:27])
        lat_type = line[27]
        longitude = self._float(line[29:36])
        lon_type = line[36]
        depth = self._float(line[38:43])
        # unused: depth_quality = line[43]
        standard_dev = self._float(line[44:48])
        station_number = self._int(line[48:51])
        # unused: version_flag = line[51]
        fe_region_number = line[52:55]
        fe_region_name = self._decode_fe_region_number(fe_region_number)
        source_code = line[55:60].strip()

        event = Event()
        # FIXME: a smarter way to define evid?
        evid = date + time
        res_id = '/'.join((res_id_prefix, 'event', evid))
        event.resource_id = ResourceIdentifier(id=res_id)
        description = EventDescription(
            type='region name',
            text=fe_region_name)
        event.event_descriptions.append(description)
        description = EventDescription(
            type='Flinn-Engdahl region',
            text=fe_region_number)
        event.event_descriptions.append(description)
        origin = Origin()
        res_id = '/'.join((res_id_prefix, 'origin', evid))
        origin.resource_id = ResourceIdentifier(id=res_id)
        origin.creation_info = CreationInfo()
        if source_code:
            origin.creation_info.agency_id = source_code
        else:
            origin.creation_info.agency_id = 'USGS-NEIC'
        res_id = '/'.join((res_id_prefix, 'earthmodel/ak135'))
        origin.earth_model_id = ResourceIdentifier(id=res_id)
        origin.time = UTCDateTime(date + time)
        origin.latitude = latitude * self._coordinate_sign(lat_type)
        origin.longitude = longitude * self._coordinate_sign(lon_type)
        origin.depth = depth * 1000
        origin.depth_type = 'from location'
        origin.quality = OriginQuality()
        origin.quality.associated_station_count = station_number
        origin.quality.standard_error = standard_dev
        # associated_phase_count can be incremented in records 'P ' and 'S '
        origin.quality.associated_phase_count = 0
        # depth_phase_count can be incremented in record 'S '
        origin.quality.depth_phase_count = 0
        origin.origin_type = 'hypocenter'
        origin.region = fe_region_name
        event.origins.append(origin)
        return event

# 需要导入模块: from obspy.core.event import Origin [as 别名]
# 或者: from obspy.core.event.Origin import creation_info [as 别名]

#.........这里部分代码省略.........
     used_station_count, depth_phase_count) = map(int, line[1:11:2])
    stderr, az_gap, sec_az_gap = map(float, line[11:17:2])
    gt_level = line[17]
    min_dist, max_dist, med_dist = map(float, line[19:25:2])

    # goto location quality info line
    line = lines["QML_OriginUncertainty"]

    if "COMMENT" in lines:
        comment = lines["COMMENT"].strip()
        comment = comment.strip('\'"')
        comment = comment.strip()

    hor_unc, min_hor_unc, max_hor_unc, hor_unc_azim = \
        map(float, line.split()[1:9:2])

    # assign origin info
    event = Event()
    o = Origin()
    event.origins = [o]
    event.preferred_origin_id = o.resource_id
    o.origin_uncertainty = OriginUncertainty()
    o.quality = OriginQuality()
    ou = o.origin_uncertainty
    oq = o.quality
    o.comments.append(Comment(text=stats_info_string, force_resource_id=False))
    event.comments.append(Comment(text=comment, force_resource_id=False))

    # SIGNATURE field's first item is LOCSIG, which is supposed to be
    # 'Identification of an individual, institiution or other entity'
    # according to
    # http://alomax.free.fr/nlloc/soft6.00/control.html#_NLLoc_locsig_
    # so use it as author in creation info
    event.creation_info = CreationInfo(creation_time=creation_time,
                                       version=version,
                                       author=signature)
    o.creation_info = CreationInfo(creation_time=creation_time,
                                   version=version,
                                   author=signature)

    # negative values can appear on diagonal of covariance matrix due to a
    # precision problem in NLLoc implementation when location coordinates are
    # large compared to the covariances.
    o.longitude = x
    try:
        o.longitude_errors.uncertainty = kilometer2degrees(sqrt(covariance_xx))
    except ValueError:
        if covariance_xx < 0:
            msg = ("Negative value in XX value of covariance matrix, not "
                   "setting longitude error (epicentral uncertainties will "
                   "still be set in origin uncertainty).")
            warnings.warn(msg)
        else:
            raise
    o.latitude = y
    try:
        o.latitude_errors.uncertainty = kilometer2degrees(sqrt(covariance_yy))
    except ValueError:
        if covariance_yy < 0:
            msg = ("Negative value in YY value of covariance matrix, not "
                   "setting longitude error (epicentral uncertainties will "
                   "still be set in origin uncertainty).")
            warnings.warn(msg)
        else:
            raise
    o.depth = z * 1e3  # meters!

# 需要导入模块: from obspy.core.event import Origin [as 别名]
# 或者: from obspy.core.event.Origin import creation_info [as 别名]

#.........这里部分代码省略.........
        "matrix as 1D marginal (Lon/Lat errors as great circle degrees) "
        "while OriginUncertainty min/max horizontal errors are calculated "
        "from 2D error ellipsoid and are therefore seemingly higher compared "
        "to 1D errors. Error estimates can be reconstructed from the "
        "following original NonLinLoc error statistics line:\nSTATISTICS " +
        lines["STATISTICS"])

    # goto location quality info line
    line = lines["QML_OriginQuality"].split()

    (assoc_phase_count, used_phase_count, assoc_station_count,
     used_station_count, depth_phase_count) = map(int, line[1:11:2])
    stderr, az_gap, sec_az_gap = map(float, line[11:17:2])
    gt_level = line[17]
    min_dist, max_dist, med_dist = map(float, line[19:25:2])

    # goto location quality info line
    line = lines["QML_OriginUncertainty"]

    hor_unc, min_hor_unc, max_hor_unc, hor_unc_azim = \
        map(float, line.split()[1:9:2])

    # assign origin info
    event = Event()
    cat = Catalog(events=[event])
    o = Origin()
    event.origins = [o]
    o.origin_uncertainty = OriginUncertainty()
    o.quality = OriginQuality()
    ou = o.origin_uncertainty
    oq = o.quality
    o.comments.append(Comment(text=stats_info_string))

    cat.creation_info.creation_time = UTCDateTime()
    cat.creation_info.version = "ObsPy %s" % __version__
    event.creation_info = CreationInfo(creation_time=creation_time,
                                       version=version)
    event.creation_info.version = version
    o.creation_info = CreationInfo(creation_time=creation_time,
                                   version=version)

    # negative values can appear on diagonal of covariance matrix due to a
    # precision problem in NLLoc implementation when location coordinates are
    # large compared to the covariances.
    o.longitude = x
    try:
        o.longitude_errors.uncertainty = kilometer2degrees(sqrt(covariance_XX))
    except ValueError:
        if covariance_XX < 0:
            msg = ("Negative value in XX value of covariance matrix, not "
                   "setting longitude error (epicentral uncertainties will "
                   "still be set in origin uncertainty).")
            warnings.warn(msg)
        else:
            raise
    o.latitude = y
    try:
        o.latitude_errors.uncertainty = kilometer2degrees(sqrt(covariance_YY))
    except ValueError:
        if covariance_YY < 0:
            msg = ("Negative value in YY value of covariance matrix, not "
                   "setting longitude error (epicentral uncertainties will "
                   "still be set in origin uncertainty).")
            warnings.warn(msg)
        else:
            raise

# 需要导入模块: from obspy.core.event import Origin [as 别名]
# 或者: from obspy.core.event.Origin import creation_info [as 别名]
    def _parse_first_line_origin(self, line, event, magnitudes):
        """
        Parse the first line of origin data.

        :type line: str
        :param line: Line to parse.
        :type event: :class:`~obspy.core.event.event.Event`
        :param event: Event of the origin.
        :type magnitudes: list of
            :class:`~obspy.core.event.magnitude.Magnitude`
        :param magnitudes: Store magnitudes in a list to keep
            their positions.
        :rtype: :class:`~obspy.core.event.origin.Origin`,
            :class:`~obspy.core.event.resourceid.ResourceIdentifier`
        :returns: Parsed origin or None, resource identifier of the
            origin.
        """
        magnitude_types = []
        magnitude_values = []
        magnitude_station_counts = []

        fields = self.fields['line_1']

        time_origin = line[fields['time']].strip()
        time_fixed_flag = line[fields['time_fixf']].strip()
        latitude = line[fields['lat']].strip()
        longitude = line[fields['lon']].strip()
        epicenter_fixed_flag = line[fields['epicenter_fixf']].strip()
        depth = line[fields['depth']].strip()
        depth_fixed_flag = line[fields['depth_fixf']].strip()
        phase_count = line[fields['n_def']].strip()
        station_count = line[fields['n_sta']].strip()
        azimuthal_gap = line[fields['gap']].strip()
        magnitude_types.append(line[fields['mag_type_1']].strip())
        magnitude_values.append(line[fields['mag_1']].strip())
        magnitude_station_counts.append(line[fields['mag_n_sta_1']].strip())
        magnitude_types.append(line[fields['mag_type_2']].strip())
        magnitude_values.append(line[fields['mag_2']].strip())
        magnitude_station_counts.append(line[fields['mag_n_sta_2']].strip())
        magnitude_types.append(line[fields['mag_type_3']].strip())
        magnitude_values.append(line[fields['mag_3']].strip())
        magnitude_station_counts.append(line[fields['mag_n_sta_3']].strip())
        author = line[fields['author']].strip()
        origin_id = line[fields['id']].strip()

        origin = Origin()
        origin.quality = OriginQuality()

        try:
            origin.time = UTCDateTime(time_origin.replace('/', '-'))
            origin.latitude = float(latitude)
            origin.longitude = float(longitude)
        except (TypeError, ValueError):
            self._warn('Missing origin data, skipping event')
            return None, None

        origin.time_fixed = time_fixed_flag.lower() == 'f'
        origin.epicenter_fixed = epicenter_fixed_flag.lower() == 'f'

        try:
            # Convert value from km to m
            origin.depth = float(depth) * 1000
        except ValueError:
            pass
        try:
            origin.depth_type = DEPTH_TYPES[depth_fixed_flag]
        except KeyError:
            origin.depth_type = OriginDepthType('from location')
        try:
            origin.quality.used_phase_count = int(phase_count)
            origin.quality.associated_phase_count = int(phase_count)
        except ValueError:
            pass
        try:
            origin.quality.used_station_count = int(station_count)
            origin.quality.associated_station_count = int(station_count)
        except ValueError:
            pass
        try:
            origin.quality.azimuthal_gap = float(azimuthal_gap)
        except ValueError:
            pass

        self.author = author
        origin.creation_info = self._get_creation_info()

        public_id = "origin/%s" % origin_id
        origin_res_id = self._get_res_id(public_id)

        for i in range(3):
            try:
                magnitude = Magnitude()
                magnitude.creation_info = self._get_creation_info()
                magnitude.magnitude_type = magnitude_types[i]
                magnitude.mag = float(magnitude_values[i])
                magnitude.station_count = int(magnitude_station_counts[i])
                magnitude.origin_id = origin_res_id
                magnitudes.append(magnitude)
                event.magnitudes.append(magnitude)
            except ValueError:
#.........这里部分代码省略.........

# 需要导入模块: from obspy.core.event import Origin [as 别名]
# 或者: from obspy.core.event.Origin import creation_info [as 别名]
    def _parse_record_dp(self, line, event):
        """
        Parses the 'source parameter data - primary' record Dp
        """
        source_contributor = line[2:6].strip()
        computation_type = line[6]
        exponent = self._int_zero(line[7])
        scale = math.pow(10, exponent)
        centroid_origin_time = line[8:14] + '.' + line[14]
        orig_time_stderr = line[15:17]
        if orig_time_stderr == 'FX':
            orig_time_stderr = 'Fixed'
        else:
            orig_time_stderr = \
                self._float_with_format(orig_time_stderr, '2.1', scale)
        centroid_latitude = self._float_with_format(line[17:21], '4.2')
        lat_type = line[21]
        if centroid_latitude is not None:
            centroid_latitude *= self._coordinate_sign(lat_type)
        lat_stderr = line[22:25]
        if lat_stderr == 'FX':
            lat_stderr = 'Fixed'
        else:
            lat_stderr = self._float_with_format(lat_stderr, '3.2', scale)
        centroid_longitude = self._float_with_format(line[25:30], '5.2')
        lon_type = line[30]
        if centroid_longitude is not None:
            centroid_longitude *= self._coordinate_sign(lon_type)
        lon_stderr = line[31:34]
        if lon_stderr == 'FX':
            lon_stderr = 'Fixed'
        else:
            lon_stderr = self._float_with_format(lon_stderr, '3.2', scale)
        centroid_depth = self._float_with_format(line[34:38], '4.1')
        depth_stderr = line[38:40]
        if depth_stderr == 'FX' or depth_stderr == 'BD':
            depth_stderr = 'Fixed'
        else:
            depth_stderr = self._float_with_format(depth_stderr, '2.1', scale)
        station_number = self._int_zero(line[40:43])
        component_number = self._int_zero(line[43:46])
        station_number2 = self._int_zero(line[46:48])
        component_number2 = self._int_zero(line[48:51])
        # unused: half_duration = self._float_with_format(line[51:54], '3.1')
        moment = self._float_with_format(line[54:56], '2.1')
        moment_stderr = self._float_with_format(line[56:58], '2.1')
        moment_exponent = self._int(line[58:60])
        if (moment is not None) and (moment_exponent is not None):
            moment *= math.pow(10, moment_exponent)
        if (moment_stderr is not None) and (moment_exponent is not None):
            moment_stderr *= math.pow(10, moment_exponent)

        evid = event.resource_id.id.split('/')[-1]
        # Create a new origin only if centroid time is defined:
        origin = None
        if centroid_origin_time.strip() != '.':
            origin = Origin()
            res_id = '/'.join((res_id_prefix, 'origin',
                               evid, source_contributor.lower(),
                               'mw' + computation_type.lower()))
            origin.resource_id = ResourceIdentifier(id=res_id)
            origin.creation_info = \
                CreationInfo(agency_id=source_contributor)
            date = event.origins[0].time.strftime('%Y%m%d')
            origin.time = UTCDateTime(date + centroid_origin_time)
            # Check if centroid time is on the next day:
            if origin.time < event.origins[0].time:
                origin.time += timedelta(days=1)
            self._store_uncertainty(origin.time_errors, orig_time_stderr)
            origin.latitude = centroid_latitude
            origin.longitude = centroid_longitude
            origin.depth = centroid_depth * 1000
            if lat_stderr == 'Fixed' and lon_stderr == 'Fixed':
                origin.epicenter_fixed = True
            else:
                self._store_uncertainty(origin.latitude_errors,
                                        self._lat_err_to_deg(lat_stderr))
                self._store_uncertainty(origin.longitude_errors,
                                        self._lon_err_to_deg(lon_stderr,
                                                             origin.latitude))
            if depth_stderr == 'Fixed':
                origin.depth_type = 'operator assigned'
            else:
                origin.depth_type = 'from location'
                self._store_uncertainty(origin.depth_errors,
                                        depth_stderr, scale=1000)
            quality = OriginQuality()
            quality.used_station_count = \
                station_number + station_number2
            quality.used_phase_count = \
                component_number + component_number2
            origin.quality = quality
            origin.origin_type = 'centroid'
            event.origins.append(origin)
        focal_mechanism = FocalMechanism()
        res_id = '/'.join((res_id_prefix, 'focalmechanism',
                           evid, source_contributor.lower(),
                           'mw' + computation_type.lower()))
        focal_mechanism.resource_id = ResourceIdentifier(id=res_id)
        focal_mechanism.creation_info = \
#.........这里部分代码省略.........

# 需要导入模块: from obspy.core.event import Origin [as 别名]
# 或者: from obspy.core.event.Origin import creation_info [as 别名]
def outputOBSPY(hp, event=None, only_fm_picks=False):
    """
    Make an Event which includes the current focal mechanism information from HASH
    
    Use the 'only_fm_picks' flag to only include the picks HASH used for the FocalMechanism.
    This flag will replace the 'picks' and 'arrivals' lists of existing events with new ones.
    
    Inputs
    -------
    hp    : hashpy.HashPype instance
    
    event : obspy.core.event.Event
    
    only_fm_picks : bool of whether to overwrite the picks/arrivals lists
    
    
    Returns
    -------
    obspy.core.event.Event
    
    Event will be new if no event was input, FocalMech added to existing event
    """
    # Returns new (or updates existing) Event with HASH solution
    n = hp.npol
    if event is None:
	event = Event(focal_mechanisms=[], picks=[], origins=[])
	origin = Origin(arrivals=[])
	origin.time = UTCDateTime(hp.tstamp)
	origin.latitude = hp.qlat
	origin.longitude = hp.qlon
	origin.depth = hp.qdep
	origin.creation_info = CreationInfo(version=hp.icusp)
	origin.resource_id = ResourceIdentifier('smi:hash/Origin/{0}'.format(hp.icusp))
	for _i in range(n):
	    p = Pick()
	    p.creation_info = CreationInfo(version=hp.arid[_i])
	    p.resource_id = ResourceIdentifier('smi:hash/Pick/{0}'.format(p.creation_info.version))
	    p.waveform_id = WaveformStreamID(network_code=hp.snet[_i], station_code=hp.sname[_i], channel_code=hp.scomp[_i])
	    if hp.p_pol[_i] > 0:
		p.polarity = 'positive'
	    else:
		p.polarity = 'negative'
	    a = Arrival()
	    a.creation_info = CreationInfo(version=hp.arid[_i])
	    a.resource_id = ResourceIdentifier('smi:hash/Arrival/{0}'.format(p.creation_info.version))
	    a.azimuth = hp.p_azi_mc[_i,0]
	    a.takeoff_angle = 180. - hp.p_the_mc[_i,0]
	    a.pick_id = p.resource_id
	    origin.arrivals.append(a)
	    event.picks.append(p)
	event.origins.append(origin)
	event.preferred_origin_id = str(origin.resource_id)
    else: # just update the changes
	origin = event.preferred_origin()
	picks = []
	arrivals = []
	for _i in range(n):
	    ind = hp.p_index[_i]
	    a = origin.arrivals[ind]
	    p = a.pick_id.getReferredObject()
	    a.takeoff_angle = hp.p_the_mc[_i,0]
	    picks.append(p)
	    arrivals.append(a)
	if only_fm_picks:
	    origin.arrivals = arrivals
	    event.picks = picks
    # Use me double couple calculator and populate planes/axes etc
    x = hp._best_quality_index
    # Put all the mechanisms into the 'focal_mechanisms' list, mark "best" as preferred
    for s in range(hp.nmult):
        dc = DoubleCouple([hp.str_avg[s], hp.dip_avg[s], hp.rak_avg[s]])
        ax = dc.axis
        focal_mech = FocalMechanism()
        focal_mech.creation_info = CreationInfo(creation_time=UTCDateTime(), author=hp.author)
        focal_mech.triggering_origin_id = origin.resource_id
        focal_mech.resource_id = ResourceIdentifier('smi:hash/FocalMechanism/{0}/{1}'.format(hp.icusp, s+1))
        focal_mech.method_id = ResourceIdentifier('HASH')
        focal_mech.nodal_planes = NodalPlanes()
        focal_mech.nodal_planes.nodal_plane_1 = NodalPlane(*dc.plane1)
        focal_mech.nodal_planes.nodal_plane_2 = NodalPlane(*dc.plane2)
        focal_mech.principal_axes = PrincipalAxes()
        focal_mech.principal_axes.t_axis = Axis(azimuth=ax['T']['azimuth'], plunge=ax['T']['dip'])
        focal_mech.principal_axes.p_axis = Axis(azimuth=ax['P']['azimuth'], plunge=ax['P']['dip'])
        focal_mech.station_polarity_count = n
        focal_mech.azimuthal_gap = hp.magap
        focal_mech.misfit = hp.mfrac[s]
        focal_mech.station_distribution_ratio = hp.stdr[s]
        focal_mech.comments.append(
            Comment(hp.qual[s], resource_id=ResourceIdentifier(str(focal_mech.resource_id) + '/comment/quality'))
            )
        #----------------------------------------
        event.focal_mechanisms.append(focal_mech)
        if s == x:
            event.preferred_focal_mechanism_id = str(focal_mech.resource_id)
    return event

# 需要导入模块: from obspy.core.event import Origin [as 别名]
# 或者: from obspy.core.event.Origin import creation_info [as 别名]
    def build(self):
        """
        Build an obspy moment tensor focal mech event

        This makes the tensor output into an Event containing:
        1) a FocalMechanism with a MomentTensor, NodalPlanes, and PrincipalAxes
        2) a Magnitude of the Mw from the Tensor

        Which is what we want for outputting QuakeML using
        the (slightly modified) obspy code.

        Input
        -----
        filehandle => open file OR str from filehandle.read()

        Output
        ------
        event => instance of Event() class as described above
        """
        p = self.parser
        event         = Event(event_type='earthquake')
        origin        = Origin()
        focal_mech    = FocalMechanism()
        nodal_planes  = NodalPlanes()
        moment_tensor = MomentTensor()
        principal_ax  = PrincipalAxes()
        magnitude     = Magnitude()
        data_used     = DataUsed()
        creation_info = CreationInfo(agency_id='NN')
        ev_mode = 'automatic'
        ev_stat = 'preliminary'
        evid = None
        orid = None
        # Parse the entire file line by line.
        for n,l in enumerate(p.line):
            if 'REVIEWED BY NSL STAFF' in l:
                ev_mode = 'manual'
                ev_stat = 'reviewed'
            if 'Event ID' in l:
                evid = p._id(n)
            if 'Origin ID' in l:
                orid = p._id(n)
            if 'Ichinose' in l:
                moment_tensor.category = 'regional'
            if re.match(r'^\d{4}\/\d{2}\/\d{2}', l):
                ev = p._event_info(n)
            if 'Depth' in l:
                derived_depth = p._depth(n)
            if 'Mw' in l:
                magnitude.mag = p._mw(n) 
                magnitude.magnitude_type = 'Mw'
            if 'Mo' in l and 'dyne' in l:
                moment_tensor.scalar_moment = p._mo(n)
            if 'Percent Double Couple' in l:
                moment_tensor.double_couple = p._percent(n)
            if 'Percent CLVD' in l:
                moment_tensor.clvd = p._percent(n)
            if 'Epsilon' in l:
                moment_tensor.variance = p._epsilon(n)
            if 'Percent Variance Reduction' in l:
                moment_tensor.variance_reduction = p._percent(n)
            if 'Major Double Couple' in l and 'strike' in p.line[n+1]:
                np = p._double_couple(n)
                nodal_planes.nodal_plane_1 = NodalPlane(*np[0])
                nodal_planes.nodal_plane_2 = NodalPlane(*np[1])
                nodal_planes.preferred_plane = 1
            if 'Spherical Coordinates' in l:
                mt = p._mt_sphere(n)
                moment_tensor.tensor = Tensor(
                    m_rr = mt['Mrr'],
                    m_tt = mt['Mtt'],
                    m_pp = mt['Mff'],
                    m_rt = mt['Mrt'],
                    m_rp = mt['Mrf'],
                    m_tp = mt['Mtf'],
                    )
            if 'Eigenvalues and eigenvectors of the Major Double Couple' in l:
                ax = p._vectors(n)
                principal_ax.t_axis = Axis(ax['T']['trend'], ax['T']['plunge'], ax['T']['ev'])
                principal_ax.p_axis = Axis(ax['P']['trend'], ax['P']['plunge'], ax['P']['ev'])
                principal_ax.n_axis = Axis(ax['N']['trend'], ax['N']['plunge'], ax['N']['ev'])
            if 'Number of Stations' in l:
                data_used.station_count = p._number_of_stations(n)
            if 'Maximum' in l and 'Gap' in l:
                focal_mech.azimuthal_gap = p._gap(n)
            if re.match(r'^Date', l):
                creation_info.creation_time = p._creation_time(n)
        # Creation Time
        creation_info.version = orid
        # Fill in magnitude values
        magnitude.evaluation_mode = ev_mode
        magnitude.evaluation_status = ev_stat
        magnitude.creation_info = creation_info.copy()
        magnitude.resource_id = self._rid(magnitude)
        # Stub origin
        origin.time = ev.get('time')
        origin.latitude = ev.get('lat')
        origin.longitude = ev.get('lon')
        origin.depth = derived_depth * 1000.
        origin.depth_type = "from moment tensor inversion"
#.........这里部分代码省略.........

# 需要导入模块: from obspy.core.event import Origin [as 别名]
# 或者: from obspy.core.event.Origin import creation_info [as 别名]
    def _map_join2origin(self, db):
        """
        Return an Origin instance from an dict of CSS key/values
        
        Inputs
        ======
        db : dict of key/values of CSS fields related to the origin (see Join)

        Returns
        =======
        obspy.core.event.Origin

        Notes
        =====
        Any object that supports the dict 'get' method can be passed as
        input, e.g. OrderedDict, custom classes, etc.
        
        Join
        ----
        origin <- origerr (outer)

        """ 
        #-- Basic location ------------------------------------------
        origin = Origin()
        origin.latitude = db.get('lat')
        origin.longitude = db.get('lon')
        origin.depth = _km2m(db.get('depth'))
        origin.time = _utc(db.get('time'))
        origin.extra = {}
        
        #-- Quality -------------------------------------------------
        quality = OriginQuality(
            associated_phase_count = db.get('nass'),
            used_phase_count = db.get('ndef'),
            standard_error = db.get('sdobs'),
            )
        origin.quality = quality

        #-- Solution Uncertainties ----------------------------------
        # in CSS the ellipse is projected onto the horizontal plane
        # using the covariance matrix
        uncertainty = OriginUncertainty()
        a = _km2m(db.get('smajax'))
        b = _km2m(db.get('sminax'))
        s = db.get('strike')
        dep_u = _km2m(db.get('sdepth'))
        time_u = db.get('stime')

        uncertainty.max_horizontal_uncertainty = a
        uncertainty.min_horizontal_uncertainty = b
        uncertainty.azimuth_max_horizontal_uncertainty = s
        uncertainty.horizontal_uncertainty = a
        uncertainty.preferred_description = "horizontal uncertainty"

        if db.get('conf') is not None:
            uncertainty.confidence_level = db.get('conf') * 100.  

        if uncertainty.horizontal_uncertainty is not None:
            origin.origin_uncertainty = uncertainty

        #-- Parameter Uncertainties ---------------------------------
        if all([a, b, s]):
            n, e = _get_NE_on_ellipse(a, b, s)
            lat_u = _m2deg_lat(n)
            lon_u = _m2deg_lon(e, lat=origin.latitude)
            origin.latitude_errors = {'uncertainty': lat_u} 
            origin.longitude_errors = {'uncertainty': lon_u}
        if dep_u:
            origin.depth_errors = {'uncertainty': dep_u}
        if time_u:
            origin.time_errors = {'uncertainty': time_u}

        #-- Analyst-determined Status -------------------------------
        posted_author = _str(db.get('auth'))
        mode, status = self.get_event_status(posted_author)
        origin.evaluation_mode = mode
        origin.evaluation_status = status
        
        # Save etype per origin due to schema differences...
        css_etype = _str(db.get('etype'))
        # Compatible with future patch rename "_namespace" -> "namespace"
        origin.extra['etype'] = {
            'value': css_etype, 
            'namespace': CSS_NAMESPACE
            }

        origin.creation_info = CreationInfo(
            creation_time = _utc(db.get('lddate')),
            agency_id = self.agency, 
            version = db.get('orid'),
            author = posted_author,
            )
        origin.resource_id = self._rid(origin)
        return origin

# 需要导入模块: from obspy.core.event import Origin [as 别名]
# 或者: from obspy.core.event.Origin import creation_info [as 别名]
    def _parseRecordDp(self, line, event):
        """
        Parses the 'source parameter data - primary' record Dp
        """
        source_contributor = line[2:6].strip()
        computation_type = line[6]
        exponent = self._intZero(line[7])
        scale = math.pow(10, exponent)
        centroid_origin_time = line[8:14] + "." + line[14]
        orig_time_stderr = line[15:17]
        if orig_time_stderr == "FX":
            orig_time_stderr = "Fixed"
        else:
            orig_time_stderr = self._floatWithFormat(orig_time_stderr, "2.1", scale)
        centroid_latitude = self._floatWithFormat(line[17:21], "4.2")
        lat_type = line[21]
        if centroid_latitude is not None:
            centroid_latitude *= self._coordinateSign(lat_type)
        lat_stderr = line[22:25]
        if lat_stderr == "FX":
            lat_stderr = "Fixed"
        else:
            lat_stderr = self._floatWithFormat(lat_stderr, "3.2", scale)
        centroid_longitude = self._floatWithFormat(line[25:30], "5.2")
        lon_type = line[30]
        if centroid_longitude is not None:
            centroid_longitude *= self._coordinateSign(lon_type)
        lon_stderr = line[31:34]
        if lon_stderr == "FX":
            lon_stderr = "Fixed"
        else:
            lon_stderr = self._floatWithFormat(lon_stderr, "3.2", scale)
        centroid_depth = self._floatWithFormat(line[34:38], "4.1")
        depth_stderr = line[38:40]
        if depth_stderr == "FX" or depth_stderr == "BD":
            depth_stderr = "Fixed"
        else:
            depth_stderr = self._floatWithFormat(depth_stderr, "2.1", scale)
        station_number = self._intZero(line[40:43])
        component_number = self._intZero(line[43:46])
        station_number2 = self._intZero(line[46:48])
        component_number2 = self._intZero(line[48:51])
        # unused: half_duration = self._floatWithFormat(line[51:54], '3.1')
        moment = self._floatWithFormat(line[54:56], "2.1")
        moment_stderr = self._floatWithFormat(line[56:58], "2.1")
        moment_exponent = self._int(line[58:60])
        if (moment is not None) and (moment_exponent is not None):
            moment *= math.pow(10, moment_exponent)
        if (moment_stderr is not None) and (moment_exponent is not None):
            moment_stderr *= math.pow(10, moment_exponent)

        evid = event.resource_id.id.split("/")[-1]
        # Create a new origin only if centroid time is defined:
        origin = None
        if centroid_origin_time.strip() != ".":
            origin = Origin()
            res_id = "/".join(
                (res_id_prefix, "origin", evid, source_contributor.lower(), "mw" + computation_type.lower())
            )
            origin.resource_id = ResourceIdentifier(id=res_id)
            origin.creation_info = CreationInfo(agency_id=source_contributor)
            date = event.origins[0].time.strftime("%Y%m%d")
            origin.time = UTCDateTime(date + centroid_origin_time)
            # Check if centroid time is on the next day:
            if origin.time < event.origins[0].time:
                origin.time += timedelta(days=1)
            self._storeUncertainty(origin.time_errors, orig_time_stderr)
            origin.latitude = centroid_latitude
            origin.longitude = centroid_longitude
            origin.depth = centroid_depth * 1000
            if lat_stderr == "Fixed" and lon_stderr == "Fixed":
                origin.epicenter_fixed = True
            else:
                self._storeUncertainty(origin.latitude_errors, self._latErrToDeg(lat_stderr))
                self._storeUncertainty(origin.longitude_errors, self._lonErrToDeg(lon_stderr, origin.latitude))
            if depth_stderr == "Fixed":
                origin.depth_type = "operator assigned"
            else:
                origin.depth_type = "from location"
                self._storeUncertainty(origin.depth_errors, depth_stderr, scale=1000)
            quality = OriginQuality()
            quality.used_station_count = station_number + station_number2
            quality.used_phase_count = component_number + component_number2
            origin.quality = quality
            origin.type = "centroid"
            event.origins.append(origin)
        focal_mechanism = FocalMechanism()
        res_id = "/".join(
            (res_id_prefix, "focalmechanism", evid, source_contributor.lower(), "mw" + computation_type.lower())
        )
        focal_mechanism.resource_id = ResourceIdentifier(id=res_id)
        focal_mechanism.creation_info = CreationInfo(agency_id=source_contributor)
        moment_tensor = MomentTensor()
        if origin is not None:
            moment_tensor.derived_origin_id = origin.resource_id
        else:
            # this is required for QuakeML validation:
            res_id = "/".join((res_id_prefix, "no-origin"))
            moment_tensor.derived_origin_id = ResourceIdentifier(id=res_id)
        for mag in event.magnitudes:
#.........这里部分代码省略.........