meta_parameter_recorder.py 文件源码

def __init__(self, current_frame):
        """
        Init the MetaPrameterRecord with "Agent" parameters by passing inspect.currentframe() from Agent Class

        The Init will search back to find the parent class to capture all passed parameters and store
        them in "self.meta_params".

        NOTE: Currently only optimized for TensorBoard output

        TODO: Add JSON Export, TEXT EXPORT

        Args:
            current_frame: frame value from class to obtain metaparameters[= inspect.currentframe()]

        """
        self.ignore_unknown_dtypes = False
        self.meta_params = dict()
        self.method_calling  = inspect.getframeinfo(current_frame)[2]

        _, _, __, self.vals_current = inspect.getargvalues(current_frame)
        # self is the class name of the frame involved
        if 'self' in self.vals_current:  
            self.recorded_class_type = self.vals_current['self']
            # Add explicit AgentName item so class can be deleted
            self.meta_params['AgentName'] = str(self.vals_current['self']) 

        frame_list = inspect.getouterframes(current_frame)

        for frame in frame_list:           
            # Rather than frame.frame (named tuple), use [0] for python2
            args, varargs, keywords, vals =inspect.getargvalues(frame[0])   
            if 'self' in vals:
                if self.recorded_class_type == vals['self']:
                    for i in args:
                        self.meta_params[i] = vals[i]
        # Remove the "CLASS" from the dictionary, has no value "AgentName" contains STR of Class
        del self.meta_params['self']