Python Event.resource_id方法代码示例

# 需要导入模块: from obspy.core.event import Event [as 别名]
# 或者: from obspy.core.event.Event import resource_id [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 Event [as 别名]
# 或者: from obspy.core.event.Event import resource_id [as 别名]
    def _parse_event(self, first_line):
        """
        Parse an event.

        :type first_line: str
        :param first_line: First line of an event block, which contains
            the event id.
        :rtype: :class:`~obspy.core.event.event.Event`
        :return: The parsed event or None.
        """
        event_id = first_line[5:].strip()
        # Skip event without id
        if not event_id:
            self._warn('Missing event id')
            return None

        event = Event()

        origin, origin_res_id = self._parse_origin(event)
        # Skip event without origin
        if not origin:
            return None

        line = self._skip_empty_lines()

        self._parse_region_name(line, event)
        self._parse_arrivals(event, origin, origin_res_id)

        # Origin ResourceIdentifier should be set at the end, when
        # Arrivals are already set.
        origin.resource_id = origin_res_id
        event.origins.append(origin)

        event.preferred_origin_id = origin.resource_id.id

        # Must be done after the origin parsing
        event.creation_info = self._get_creation_info()

        public_id = "event/%s" % event_id
        event.resource_id = self._get_res_id(public_id)

        event.scope_resource_ids()

        return event

# 需要导入模块: from obspy.core.event import Event [as 别名]
# 或者: from obspy.core.event.Event import resource_id [as 别名]
def event_to_quakeml(event, filename):
    """
    Write one of those events to QuakeML.
    """
    # Create all objects.
    cat = Catalog()
    ev = Event()
    org = Origin()
    mag = Magnitude()
    fm = FocalMechanism()
    mt = MomentTensor()
    t = Tensor()
    # Link them together.
    cat.append(ev)
    ev.origins.append(org)
    ev.magnitudes.append(mag)
    ev.focal_mechanisms.append(fm)
    fm.moment_tensor = mt
    mt.tensor = t

    # Fill values
    ev.resource_id = "smi:inversion/%s" % str(event["identifier"])
    org.time = event["time"]
    org.longitude = event["longitude"]
    org.latitude = event["latitude"]
    org.depth = event["depth_in_km"] * 1000

    mag.mag = event["Mw"]
    mag.magnitude_type = "Mw"

    t.m_rr = event["Mrr"]
    t.m_tt = event["Mpp"]
    t.m_pp = event["Mtt"]
    t.m_rt = event["Mrt"]
    t.m_rp = event["Mrp"]
    t.m_tp = event["Mtp"]

    cat.write(filename, format="quakeml")

# 需要导入模块: from obspy.core.event import Event [as 别名]
# 或者: from obspy.core.event.Event import resource_id [as 别名]
def _read_ndk(filename, *args, **kwargs):  # @UnusedVariable
    """
    Reads an NDK file to a :class:`~obspy.core.event.Catalog` object.

    :param filename: File or file-like object in text mode.
    """
    # Read the whole file at once. While an iterator would be more efficient
    # the largest NDK file out in the wild is 13.7 MB so it does not matter
    # much.
    if not hasattr(filename, "read"):
        # Check if it exists, otherwise assume its a string.
        try:
            with open(filename, "rt") as fh:
                data = fh.read()
        except:
            try:
                data = filename.decode()
            except:
                data = str(filename)
            data = data.strip()
    else:
        data = filename.read()
        if hasattr(data, "decode"):
            data = data.decode()

    # Create iterator that yields lines.
    def lines_iter():
        prev_line = -1
        while True:
            next_line = data.find("\n", prev_line + 1)
            if next_line < 0:
                break
            yield data[prev_line + 1: next_line]
            prev_line = next_line
        if len(data) > prev_line + 1:
            yield data[prev_line + 1:]

    # Use one Flinn Engdahl object for all region determinations.
    fe = FlinnEngdahl()
    cat = Catalog(resource_id=_get_resource_id("catalog", str(uuid.uuid4())))

    # Loop over 5 lines at once.
    for _i, lines in enumerate(itertools.zip_longest(*[lines_iter()] * 5)):
        if None in lines:
            msg = "Skipped last %i lines. Not a multiple of 5 lines." % (
                lines.count(None))
            warnings.warn(msg, ObsPyNDKWarning)
            continue

        # Parse the lines to a human readable dictionary.
        try:
            record = _read_lines(*lines)
        except (ValueError, ObsPyNDKException):
            exc = traceback.format_exc()
            msg = (
                "Could not parse event %i (faulty file?). Will be "
                "skipped. Lines of the event:\n"
                "\t%s\n"
                "%s") % (_i + 1, "\n\t".join(lines), exc)
            warnings.warn(msg, ObsPyNDKWarning)
            continue

        # Use one creation info for essentially every item.
        creation_info = CreationInfo(
            agency_id="GCMT",
            version=record["version_code"]
        )

        # Use the ObsPy Flinn Engdahl region determiner as the region in the
        # NDK files is oftentimes trimmed.
        region = fe.get_region(record["centroid_longitude"],
                               record["centroid_latitude"])

        # Create an event object.
        event = Event(
            force_resource_id=False,
            event_type="earthquake",
            event_type_certainty="known",
            event_descriptions=[
                EventDescription(text=region, type="Flinn-Engdahl region"),
                EventDescription(text=record["cmt_event_name"],
                                 type="earthquake name")
            ]
        )

        # Assemble the time for the reference origin.
        try:
            time = _parse_date_time(record["date"], record["time"])
        except ObsPyNDKException:
            msg = ("Invalid time in event %i. '%s' and '%s' cannot be "
                   "assembled to a valid time. Event will be skipped.") % \
                  (_i + 1, record["date"], record["time"])
            warnings.warn(msg, ObsPyNDKWarning)
            continue

        # Create two origins, one with the reference latitude/longitude and
        # one with the centroidal values.
        ref_origin = Origin(
            force_resource_id=False,
            time=time,
#.........这里部分代码省略.........

# 需要导入模块: from obspy.core.event import Event [as 别名]
# 或者: from obspy.core.event.Event import resource_id [as 别名]
def __read_single_fnetmt_entry(line, **kwargs):
    """
    Reads a single F-net moment tensor solution to a
    :class:`~obspy.core.event.Event` object.

    :param line: String containing moment tensor information.
    :type line: str.
    """

    a = line.split()
    try:
        ot = UTCDateTime().strptime(a[0], '%Y/%m/%d,%H:%M:%S.%f')
    except ValueError:
        ot = UTCDateTime().strptime(a[0], '%Y/%m/%d,%H:%M:%S')
    lat, lon, depjma, magjma = map(float, a[1:5])
    depjma *= 1000
    region = a[5]
    strike = tuple(map(int, a[6].split(';')))
    dip = tuple(map(int, a[7].split(';')))
    rake = tuple(map(int, a[8].split(';')))
    mo = float(a[9])
    depmt = float(a[10]) * 1000
    magmt = float(a[11])
    var_red = float(a[12])
    mxx, mxy, mxz, myy, myz, mzz, unit = map(float, a[13:20])

    event_name = util.gen_sc3_id(ot)
    e = Event(event_type="earthquake")
    e.resource_id = _get_resource_id(event_name, 'event')

    # Standard JMA solution
    o_jma = Origin(time=ot, latitude=lat, longitude=lon,
                   depth=depjma, depth_type="from location",
                   region=region)
    o_jma.resource_id = _get_resource_id(event_name,
                                         'origin', 'JMA')
    m_jma = Magnitude(mag=magjma, magnitude_type='ML',
                      origin_id=o_jma.resource_id)
    m_jma.resource_id = _get_resource_id(event_name,
                                         'magnitude', 'JMA')
    # MT solution
    o_mt = Origin(time=ot, latitude=lat, longitude=lon,
                  depth=depmt, region=region,
                  depth_type="from moment tensor inversion")
    o_mt.resource_id = _get_resource_id(event_name,
                                        'origin', 'MT')
    m_mt = Magnitude(mag=magmt, magnitude_type='Mw',
                     origin_id=o_mt.resource_id)
    m_mt.resource_id = _get_resource_id(event_name,
                                        'magnitude', 'MT')
    foc_mec = FocalMechanism(triggering_origin_id=o_jma.resource_id)
    foc_mec.resource_id = _get_resource_id(event_name,
                                           "focal_mechanism")
    nod1 = NodalPlane(strike=strike[0], dip=dip[0], rake=rake[0])
    nod2 = NodalPlane(strike=strike[1], dip=dip[1], rake=rake[1])
    nod = NodalPlanes(nodal_plane_1=nod1, nodal_plane_2=nod2)
    foc_mec.nodal_planes = nod

    tensor = Tensor(m_rr=mxx, m_tt=myy, m_pp=mzz, m_rt=mxy, m_rp=mxz, m_tp=myz)
    cm = Comment(text="Basis system: North,East,Down (Jost and \
    Herrmann 1989")
    cm.resource_id = _get_resource_id(event_name, 'comment', 'mt')
    mt = MomentTensor(derived_origin_id=o_mt.resource_id,
                      moment_magnitude_id=m_mt.resource_id,
                      scalar_moment=mo, comments=[cm],
                      tensor=tensor, variance_reduction=var_red)
    mt.resource_id = _get_resource_id(event_name,
                                      'moment_tensor')
    foc_mec.moment_tensor = mt
    e.origins = [o_jma, o_mt]
    e.magnitudes = [m_jma, m_mt]
    e.focal_mechanisms = [foc_mec]
    e.preferred_magnitude_id = m_mt.resource_id.id
    e.preferred_origin_id = o_mt.resource_id.id
    e.preferred_focal_mechanism_id = foc_mec.resource_id.id
    return e

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