AlgorithmMachine Class Reference

Inheritance diagram for AlgorithmMachine:

Collaboration diagram for AlgorithmMachine:

Public Member Functions
def	__init__ (self, algorithm=None, initial_state="init")
def	setup_from_dict (self, params)
def	is_valid (self)
def	initial_state (self)
def	initial_state (self, state)
def	state (self)
def	state (self, state)
def	add_state (self, state, enter=None, exit=None)
def	add_transition (self, trigger, source, dest, conditions=None, before=None, after=None)
def	__getattr__ (self, name, **kwargs)
def	get_transitions (self, source)
def	get_transition_dict (self, state, transition)
def	save_graph (self, filename, graphname)

Static Public Member Functions
def	default_condition (**kwargs)

Public Attributes
	default_states
	Default states for the AlgorithmMachine.
	algorithm
	Algorithm() object whose state we are modelling.
	input_files
	Collector output files, will contain all files retured by the output patterns.
	dependent_databases
	CAF created local databases from previous calibrations that this calibration/algorithm depends on.
	database_chain
	Assigned database chain to the overall Calibration object, or to the 'default' Collection. More...
	output_dir
	The algorithm output directory which is mostly used to store the stdout file.
	output_database_dir
	The output database directory for the localdb that the algorithm will commit to.
	result
	IoV_Result object for a single execution, will be reset upon a new execution.
	states
	Valid states for this machine.
	initial_state
	Pointless docstring since it's a property.
	transitions
	Allowed transitions between states.
	state
	Current State of machine.

Static Public Attributes
list	required_attrs
	Required attributes that must exist before the machine can run properly. More...
list	required_true_attrs
	Attributes that must have a value that returns True when tested. More...

Private Member Functions
def	_create_output_dir (self, **kwargs)
def	_setup_database_chain (self, **kwargs)
def	_setup_logging (self, **kwargs)
def	_change_working_dir (self, **kwargs)
def	_pre_algorithm (self, **kwargs)
def	_execute_over_iov (self, **kwargs)
def	_set_input_data (self, **kwargs)
def	_trigger (self, transition_name, transition_dict, **kwargs)

Static Private Member Functions
def	_callback (func, **kwargs)

Private Attributes
	_initial_state
	Actual attribute holding initial state for this machine.
	_state
	Actual attribute holding the Current state. More...

Detailed Description

A state machine to handle the logic of running the algorithm on the overall runs contained in the data.

Definition at line 920 of file state_machines.py.

Constructor & Destructor Documentation

__init__()

def __init__	(		self,
			algorithm = None,
			initial_state = "init"
	)

Takes an Algorithm object from the caf framework and defines the transitions.

Reimplemented from Machine.

Definition at line 942 of file state_machines.py.

Member Function Documentation

__getattr__()

def __getattr__ (   self,   name, **  kwargs  )

inherited

Allows us to create a new method for each trigger on the fly.
If there is no trigger name in the machine to match, then the normal
AttributeError is called.

Definition at line 300 of file state_machines.py.

_callback()

def _callback (   func, **  kwargs  )

staticprivateinherited

Calls a condition/before/after.. function using arguments passed (or not).

Definition at line 336 of file state_machines.py.

_change_working_dir()

def _change_working_dir (   self, **  kwargs  )

private

Definition at line 1065 of file state_machines.py.

_create_output_dir()

def _create_output_dir (   self, **  kwargs  )

private

Create working/output directory of algorithm. Any old directory is overwritten.

Definition at line 1011 of file state_machines.py.

_execute_over_iov()

def _execute_over_iov (   self, **  kwargs  )

private

Does the actual execute of the algorithm on an IoV and records the result.

Definition at line 1081 of file state_machines.py.

_pre_algorithm()

def _pre_algorithm (   self, **  kwargs  )

private

Call the user defined algorithm setup function.

Definition at line 1071 of file state_machines.py.

_setup_database_chain()

def _setup_database_chain (   self, **  kwargs  )

private

Apply all databases in the correct order.

Definition at line 1017 of file state_machines.py.

_setup_logging()

def _setup_logging (   self, **  kwargs  )

private

Definition at line 1055 of file state_machines.py.

_trigger()

def _trigger (   self,   transition_name,   transition_dict, **  kwargs  )

privateinherited

Runs the transition logic. Callbacks are evaluated in the order:
conditions -> before -> <new state set here> -> after.

Definition at line 312 of file state_machines.py.

add_state()

def add_state (   self,   state,   enter = None,   exit = None  )

inherited

Adds a single state to the list of possible ones.
Should be a unique string or a State object with a unique name.

Definition at line 187 of file state_machines.py.

add_transition()

def add_transition (   self,   trigger,   source,   dest,   conditions = None,   before = None,   after = None  )

inherited

Adds a single transition to the dictionary of possible ones.
Trigger is the method name that begins the transtion between the
source state and the destination state.

The condition is an optional function that returns True or False
depending on the current state/input.

Definition at line 258 of file state_machines.py.

default_condition()

def default_condition ( **  kwargs )

staticinherited

Method to always return True.

Definition at line 252 of file state_machines.py.

get_transition_dict()

def get_transition_dict (   self,   state,   transition  )

inherited

Returns the transition dictionary for a state and transition out of it.

Definition at line 353 of file state_machines.py.

get_transitions()

def get_transitions (   self,   source  )

inherited

Returns allowed transitions from a given state.

Definition at line 342 of file state_machines.py.

initial_state() [1/2]

def initial_state (   self )

inherited

The initial state of the machine. Needs a special property to prevent trying to run on_enter callbacks when set.

Definition at line 203 of file state_machines.py.

initial_state() [2/2]

def initial_state (   self,   state  )

inherited

Definition at line 210 of file state_machines.py.

is_valid()

def is_valid

(

self

)

Returns:
    bool: Whether or not this machine has been set up correctly with all its necessary attributes.

Definition at line 993 of file state_machines.py.

save_graph()

def save_graph (   self,   filename,   graphname  )

inherited

Does a simple dot file creation to visualise states and transiitons.

Definition at line 364 of file state_machines.py.

setup_from_dict()

def setup_from_dict	(		self,
			params
	)

Parameters:
    params (dict): Dictionary containing values to be assigned to the machine's attributes of the same name.

Definition at line 985 of file state_machines.py.

state() [1/2]

def state (   self )

inherited

        The current state of the machine. Actually a `property` decorator. It will call the exit method of the
        current state and enter method of the new one. To get around the behaviour e.g. for setting initial states,
        either use the `initial_state` property or directly set the _state attribute itself (at your own risk!).

Definition at line 221 of file state_machines.py.

state() [2/2]

def state (   self,   state  )

inherited

Definition at line 230 of file state_machines.py.

Member Data Documentation

_state

_state

privateinherited

Actual attribute holding the Current state.

Current state (private)

Definition at line 183 of file state_machines.py.

database_chain

database_chain

Assigned database chain to the overall Calibration object, or to the 'default' Collection.

Database chains for manually created Collections have no effect here.

Definition at line 963 of file state_machines.py.

required_attrs

list required_attrs

static

Initial value:

=  ["algorithm",
                      "dependent_databases",
                      "database_chain",
                      "output_dir",
                      "output_database_dir",
                      "input_files"
                      ]

Required attributes that must exist before the machine can run properly.

Some are allowed be values that return False whe tested e.g. "" or []

Definition at line 927 of file state_machines.py.

required_true_attrs

list required_true_attrs

static

Initial value:

=  ["algorithm",
                           "output_dir",
                           "output_database_dir",
                           "input_files"
                           ]

Attributes that must have a value that returns True when tested.

Definition at line 936 of file state_machines.py.

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The documentation for this class was generated from the following file:

• calibration/scripts/caf/state_machines.py