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
'''