obspy.clients.filesystem.tsindex.Client

class Client(database, datapath_replace=None, loglevel=None)[source]

Bases: object

Time series extraction client for IRIS tsindex database schema.

Public Methods

get_availability

Get a list of tuples [(network, station, location, channel, starttime, endtime),...] containing data availability info for time series included in the tsindex database.

get_availability_extent

Get a list of tuples [(network, station, location, channel, earliest, latest)] containing data extent info for time series included in the tsindex database.

get_availability_percentage

Get percentage of available data.

get_nslc

Get a list of tuples [(net, sta, loc, cha),...] containing information on what streams are included in the tsindex database.

get_waveforms

Query tsindex database and read miniSEED data from local indexed directory tree.

get_waveforms_bulk

Query tsindex database and read miniSEED data from local indexed directory tree using a bulk request.

has_data

Return whether there is data for a specified network, station, location, channel, starttime, and endtime combination.

Private Methods

Warning

Private methods are mainly for internal/developer use and their API might change without notice.

Client._are_timespans_adjacent(ts1, ts2, sample_rate, tolerance=0.5)[source]

Checks whether or not two time span named tuples (e.g. NameTuple(earliest, latest)) are adjacent within a given tolerance.

Parameters
  • ts1 (NamedTuple) – Earliest timespan.

  • ts2 (NamedTuple) – Latest timespan.

  • sample_rate (int) – Sensor sample rate.

  • tolerance (float) – Tolerance in seconds to determine whether a adjacent timespan should be merged.

Client._create_avail_tuple(network, station, location, channel, earliest, latest, sr=None)[source]

Returns a tuple representing available waveform data.

Parameters
  • network (str) – Network code of requested data (e.g. “IU”). Wildcards ‘*’ and ‘?’ are supported.

  • station (str) – Station code of requested data (e.g. “ANMO”). Wildcards ‘*’ and ‘?’ are supported.

  • location (str) – Location code of requested data (e.g. “”). Wildcards ‘*’ and ‘?’ are supported.

  • channel (str) – Channel code of requested data (e.g. “HHZ”). Wildcards ‘*’ and ‘?’ are supported.

  • earliest (UTCDateTime) – Earliest date of timespan.

  • latest (UTCDateTime) – Latest date of timespan.

  • sr (float) – Sensor sample rate (optional).

Client._create_timespan(earliest, latest)[source]

Create a TimeSpan named tuple object given a earliest and latest date.

Parameters
  • earliest – Earliest date of timespan.

  • latest – Latest date of timespan.

Client._create_timespans_list(raw_timespans)[source]

Given a timespans string from the database, return a list of named tuples.

Parameters

raw_timespans (str) – timespans field from tsindex database table.

Client._do_timespans_overlap(ts1, ts2)[source]

Checks whether or not two time span named tuples (e.g. NameTuple(earliest, latest)) intersect with one another.

Parameters
  • ts1 (collections.namedtuple) – Earliest timespan.

  • ts2 (collections.namedtuple) – Latest timespan.

Client._get_availability_from_timespans(network, station, location, channel, samplerates, include_sample_rate, merge_overlap, timespans, _sncl_joined_avail_tuples=None)[source]

Recurse over a list of timespans, joining adjacent timespans, and merging if merge_overlaps is True.

Returns a list of tuples (network, station, location, channel, earliest, latest) representing available data.

Parameters
  • network (str) – Network code of requested data (e.g. “IU”). Wildcards ‘*’ and ‘?’ are supported.

  • station (str) – Station code of requested data (e.g. “ANMO”). Wildcards ‘*’ and ‘?’ are supported.

  • location (str) – Location code of requested data (e.g. “”). Wildcards ‘*’ and ‘?’ are supported.

  • channel (str) – Channel code of requested data (e.g. “HHZ”). Wildcards ‘*’ and ‘?’ are supported.

  • starttime (UTCDateTime) – Start of requested time window.

  • endtime (UTCDateTime) – End of requested time window.

  • timespans (list) – List of timespan tuples.

Client._get_summary_rows(network, station, location, channel, starttime, endtime)[source]

Return a list of tuples [(net, sta, loc, cha, earliest, latest),…] containing information found in the tsindex_summary table.

Information about the tsindex_summary schema may be found in the mseedindex wiki.

Parameters
  • network (str) – Network code of requested data (e.g. “IU”). Wildcards ‘*’ and ‘?’ are supported.

  • station (str) – Station code of requested data (e.g. “ANMO”). Wildcards ‘*’ and ‘?’ are supported.

  • location (str) – Location code of requested data (e.g. “”). Wildcards ‘*’ and ‘?’ are supported.

  • channel (str) – Channel code of requested data (e.g. “HHZ”). Wildcards ‘*’ and ‘?’ are supported.

  • starttime (UTCDateTime) – Start of requested time window.

Client._get_tsindex_rows(network, station, location, channel, starttime, endtime)[source]

Return a list of tuples [(net, sta, loc, cha, quality… etc.),…] containing information found in the tsindex table.

Information about the tsindex schema may be found in the mseedindex wiki schema.

Parameters
  • network (str) – Network code of requested data (e.g. “IU”). Wildcards ‘*’ and ‘?’ are supported.

  • station (str) – Station code of requested data (e.g. “ANMO”). Wildcards ‘*’ and ‘?’ are supported.

  • location (str) – Location code of requested data (e.g. “”). Wildcards ‘*’ and ‘?’ are supported.

  • channel (str) – Channel code of requested data (e.g. “HHZ”). Wildcards ‘*’ and ‘?’ are supported.

  • starttime (UTCDateTime) – Start of requested time window.

  • endtime (UTCDateTime) – End of requested time window.

Client._get_waveforms(query_rows, merge=- 1)[source]

Query tsindex database and read miniSEED data from local indexed directory tree using a bulk request and return a Stream object containing the requested timeseries data.

Parameters
  • query_rows (list(tuple(str, str, str, str, UTCDateTime, UTCDateTime))) – A list of tuples [(net, sta, loc, cha, starttime, endtime),…] containing information on what timeseries should be returned from the indexed archive. Wildcards ‘*’ and ‘?’ are supported.

  • merge (int or None) – Specifies, which merge operation should be performed on the stream before returning the data. Default (-1) means only a conservative cleanup merge is performed to merge seamless traces (e.g. when reading across day boundaries). See Stream.merge() for details. If set to None (or False) no merge operation at all will be performed.

Special Methods

Client.__delattr__(name, /)

Implement delattr(self, name).

Client.__dir__()

Default dir() implementation.

Client.__eq__(value, /)

Return self==value.

Client.__format__(format_spec, /)

Default object formatter.

Client.__ge__(value, /)

Return self>=value.

Client.__getattribute__(name, /)

Return getattr(self, name).

Client.__gt__(value, /)

Return self>value.

Client.__hash__()

Return hash(self).

Client.__init__(database, datapath_replace=None, loglevel=None)[source]

Initializes the client.

Parameters
  • database (str or TSIndexDatabaseHandler) – Path to SQLite tsindex database or a TSIndexDatabaseHandler object

  • datapath_replace (tuple(str, str)) – A tuple(str, str), where any occurrence of the first value will be replaced with the second value in filename paths from the index.

Client.__init_subclass__()

This method is called when a class is subclassed.

The default implementation does nothing. It may be overridden to extend subclasses.

Client.__le__(value, /)

Return self<=value.

Client.__lt__(value, /)

Return self<value.

Client.__ne__(value, /)

Return self!=value.

Client.__new__(**kwargs)
Client.__reduce__()

Helper for pickle.

Client.__reduce_ex__(protocol, /)

Helper for pickle.

Client.__repr__()

Return repr(self).

Client.__setattr__(name, value, /)

Implement setattr(self, name, value).

Client.__sizeof__()

Size of object in memory, in bytes.

Client.__str__()

Return str(self).

Client.__subclasshook__()

Abstract classes can override this to customize issubclass().

This is invoked early on by abc.ABCMeta.__subclasscheck__(). It should return True, False or NotImplemented. If it returns NotImplemented, the normal algorithm is used. Otherwise, it overrides the normal algorithm (and the outcome is cached).