postprocessing-seismo-lib 0.1.1

A library for building and parsing Seismology API message bodies.

postprocessing_seismo_lib

postprocessing_seismo_lib is a lightweight Python library for building and parsing structured API messages, especially for use with nested JSON structures used in event-based data systems. Currently, the library works on building out the Response format for seismology associator outputs, or extracting the body out of its Response format.

Features

• Build a full message with metadata and body using build_message
• Build a full message with status, headers, body_meta and body using convert_file_to_json, with provided csv, arcout or quakeml files
• Extract the body section from a structured JSON file using extract_body_from_file

Example Scenarios

Extraction of body

The below function allows for extracting out the body from csv, quakeml or arcout:

from postprocessing_seismo_lib import extract_body_from_file

body_data = extract_body_from_file("full_response_arcout.json")
body_data = extract_body_from_file("full_response_quakeml.json")
body_data = extract_body_from_file("full_response_csv.json")

Creation of full response format

Below shows how to build out the Response format for provided files. In all cases below, you provide an ID and an output file name (of type json). Also, provide the error log file, in case any errors occur. A file of the name you specified will be generated which reports the errors. If no errors exist, the output JSON file will be generated at the path where you run the python script.

If you are converting from csv to json, you provide the _events.csv and _picks.csv that are generated from pinging the associator API, and set them to event_file and pick_file. Leave the input_file blank. For quakeML or arcout conversion to json, specify the input_file.

from postprocessing_seismo_lib import convert_file_to_json

# For CSV
convert_file_to_json(
    input_file="",  # not used for CSV
    output_file="[Output file name].json",
    id="[Name of choice]",
    event_file="[xxxx]_gamma_events.csv",
    pick_file="[xxxx]_gamma_picks.csv",
    error_log_file="csv_error_log.txt"
)

# For QuakeML XML (this input file has no XML signifiers but was parsed successfully as XML here)
convert_file_to_json(
    input_file="[xxxx]_events_test",
    output_file="[xxxx]_quakeml.json",
    id="[Name of choice]",
    error_log_file="quakeml_error_log.txt"
)

#Conventional QuakeML XML here
convert_file_to_json(
    input_file="[xxxx]_events_test.xml",
    output_file="[xxxx]_quakeml.json",
    id="[Name of choice]",
    error_log_file="quakeml_error_log.txt"
)


# For ArcOut
convert_file_to_json(
    input_file="[xxxx]_api_stproc_9999.arcout",
    output_file="[Output file name].json",
    id="[Name of choice]",
    error_log_file="arcout_error_log.txt"
)

Installation

You can install the library locally for development:

pip install -e .