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class Diagnostic(object):
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Base class for the diagnostics. Provides a common interface for them and also
has a mechanism that allows diagnostic retrieval by name.
:param data_manager: data manager that will be used to store and retrieve the necessary data
:type data_manager: DataManager
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alias = None
"""
Alias to call the diagnostic. Must be overridden at the derived clases
"""
def __init__(self, data_manager):
self.data_manager = data_manager
self.required_vars = []
self.generated_vars = []
self.can_run_multiple_instances = True
def register(cls):
"""
Register a new diagnostic using the given alias. It must be call using the derived class.
:param cls: diagnostic class to register
:type cls: Diagnostic
"""
if not issubclass(cls, Diagnostic):
raise ValueError('Class {0} must be derived from Diagnostic'.format(cls))
if cls.alias is None:
raise ValueError('Diagnostic class {0} must have defined an alias'.format(cls))
Diagnostic._diag_list[cls.alias] = cls
# noinspection PyProtectedMember
@staticmethod
def get_diagnostic(name):
"""
Return the class for a diagnostic given its name
:param name: diagnostic alias
:type name: str
:return: the selected Diagnostic class, None if name can not be found
:rtype: Diagnostic
"""
if name in Diagnostic._diag_list.keys():
return Diagnostic._diag_list[name]
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def compute(self):
"""
Calculates the diagnostic and stores the output
Must be implemented by derived classes
"""
raise NotImplementedError("Class must override compute method")
def generate_jobs(cls, diags, options):
"""
Generate the instances of the diagnostics that will be run by the manager
Must be implemented by derived classes.
:param diags: diagnostics manager
:type diags: Diags
:param options: list of strings containing the options passed to the diagnostic