Working with the guts package

Introduction to guts

Guts is a Lightweight declarative YAML and XML data binding for Python (the link provides a basic introduction and usage tutorial).

guts and pyrocko

When building add-on functionality to pyrocko, objects that will be in/ex-ported can use the guts wrapping to conform easily to prycoko standards. There is some overhead, so only certain items implement the guts package in the base pyrocko project. One add-on functionality that implement it is the fomosto report command. Within it, the base class pyrocko.fomosto_report.GeensFunctionTest and a small utility class pyrocko.fomosto_report.SensoryArray are implemented with guts. We shall look at pyrocko.fomosto_report.SensoryArray below.

Implementing guts

When creating a class that implements pyrocko.guts, first determine which attribute are important to the class. In the case of pyrocko.fomosto_report.SensoryArray those attributes are: distance_min, distance_max, strike, and sensor_count. Now create the class and attributes, where the attributes are defined as guts types (good practice is to define a guts_prefix to the module, as it helps with in/ex-porting).

Download guts_sensor_array.py

from pyrocko.guts import Object, Float, Int, String
from pyrocko.gf import Target

guts_prefix = 'gft'


class SensorArray(Target):

    distance_min = Float.T()
    distance_max = Float.T()
    strike = Float.T()
    sensor_count = Int.T(default=50)

    # this attribute is only used in this example
    name = String.T(optional=True)

    def __init__(self, **kwargs):

        # call the guts initilizer
        Object.__init__(self, **kwargs)

As you can see only one type has a default value, so when initializing the object if values do not get passed in for the attributes without default values, then the guts initializer will throw an error.

Other attributes whose values are desired to be keep through in/ex-porting, but do not need to be initialized by default can have the optional parameter set to True. This will allow them to be exported with when the attribute has been assigned a value.

Usage examples

Now that a class has been defined (and imported) we can see how to use it.

Download guts_usage.py

from pyrocko.guts import load
from guts_sensor_array import SensorArray


sa1 = SensorArray(distance_min=1e3, distance_max=100e3, strike=0.)
sa2 = SensorArray(distance_min=1e3, distance_max=100e3, strike=0.,
                  name='Sensor array 2')

print(sa1)
'''
output would look like
--- !gft.SensorArray
# properies defined by the base type Target
depth: 0.0
codes: ['', STA, '', Z]
elevation: 0.0
interpolation: nearest_neighbor

# attributes defined within the SensorArray class
distance_min: 1000.0
distance_max: 100000.0
strike: 0.0
sensor_count: 50
'''

print(sa2)
'''
output would look like
--- !gft.SensorArray
# properies defined by the base type Target
depth: 0.0
codes: ['', STA, '', Z]
elevation: 0.0
interpolation: nearest_neighbor

# attributes defined within the SensorArray class
distance_min: 1000.0
distance_max: 100000.0
strike: 0.0
sensor_count: 50
name: Sensor array 2
'''

# export the object definition to a file
sa1.dump(filename='sensorarray1')

# import object definition from file
sa3 = load(filename='sensorarray1')
sa3.name = 'Sensor array 3'
print(sa3)
'''
output would look like
--- !gft.SensorArray
# properies defined by the base type Target
depth: 0.0
codes: ['', STA, '', Z]
elevation: 0.0
interpolation: nearest_neighbor

# attributes defined within the SensorArray class
distance_min: 1000.0
distance_max: 100000.0
strike: 0.0
sensor_count: 50
name: Sensory array 3
'''

Example guts YAML File:

This is a minimal example of a guts YAML file.

Download guts_usage.py

--- !gft.SensorArray
depth: 0.0
codes: !include codes.yml  # We can include other yaml files
elevation: 0.0
interpolation: nearest_neighbor
distance_min: 1000.0
distance_max: 100000.0
strike: 0.0
sensor_count: 50