oasislmf.pytools.elt.manager¶
Attributes¶
Classes¶
Abstract class to read event stream |
Functions¶
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Reads all input files and returns a dict of relevant data |
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Runs ELT calculations |
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Module Contents¶
- class oasislmf.pytools.elt.manager.ELTReader(len_sample, compute_selt, compute_melt, compute_qelt, unique_event_ids, event_rates, intervals)[source]¶
Bases:
oasislmf.pytools.common.event_stream.EventReader
Abstract class to read event stream
This class provide a generic interface to read multiple event stream using: - selector : handle back pressure, the program is paused and don’t use resource if nothing is in the stream buffer - memoryview : read a chuck (PIPE_CAPACITY) of data at a time then work on it using a numpy byte view of this buffer
To use those methods need to be implemented: - __init__(self, …) the constructor with all data structure needed to read and store the event stream - read_buffer(self, byte_mv, cursor, valid_buff, event_id, item_id)
simply point to a local numba.jit function name read_buffer (a template is provided bellow) this function should implement the specific logic of where and how to store the event information.
Those to method may be overwritten - item_exit(self):
specific logic to do when an item is finished (only executed once the stream is finished but no 0,0 closure was present)
- event_read_log(self):
what kpi to log when a full event is read
- usage snippet:
- with ExitStack() as stack:
streams_in, (stream_type, stream_agg_type, len_sample) = init_streams_in(files_in, stack) reader = CustomReader(<read relevant attributes>) for event_id in reader.read_streams(streams_in):
<event logic>
- oasislmf.pytools.elt.manager.read_buffer(byte_mv, cursor, valid_buff, event_id, item_id, selt_data, selt_idx, state, melt_data, melt_idx, qelt_data, qelt_idx, intervals, unique_event_ids, event_rates)[source]¶
- oasislmf.pytools.elt.manager.read_input_files(run_dir, compute_melt, compute_qelt, sample_size)[source]¶
Reads all input files and returns a dict of relevant data Args:
run_dir (str | os.PathLike): Path to directory containing required files structure compute_melt (bool): Compute MELT bool compute_qelt (bool): Compute QELT bool sample_size (int): Sample size
- Returns:
file_data (Dict[str, Any]): A dict of relevent data extracted from files
- oasislmf.pytools.elt.manager.run(run_dir, files_in, selt_output_file=None, melt_output_file=None, qelt_output_file=None, noheader=False)[source]¶
Runs ELT calculations Args:
run_dir (str | os.PathLike): Path to directory containing required files structure files_in (str | os.PathLike): Path to summary binary input file selt_output_file (str, optional): Path to SELT output file. Defaults to None. melt_output_file (str, optional): Path to MELT output file. Defaults to None. qelt_output_file (str, optional): Path to QELT output file. Defaults to None. noheader (bool): Boolean value to skip header in output file