parserEdmSize Namespace Reference

Functions
def	getEdmReport
def	parseEdmSize

Variables
tuple	edmSize_line_parsing_reg
tuple	test_edm_file = re.compile("_EdmSize$", re.IGNORECASE)

Function Documentation

def parserEdmSize.getEdmReport	(		path,
			candle,
			step
	)

Definition at line 42 of file parserEdmSize.py.

References FileNamesHelper.f_candle_and_step_inJobID, FileNamesHelper.getJobID_fromEdmSizeFileName(), and parseEdmSize().

def getEdmReport(path, candle, step):
    files = os.listdir(path)
    edm_files = [os.path.join(path, f) for f in files
                 if test_edm_file.search(f) 
                    and os.path.isfile(os.path.join(path, f)) ]

    """ get the size of file if it is the root file for current candle and step """
    # TODO: a function candle, step --> file name

    try:
        edm_fn = [f for f in edm_files
             if f_candle_and_step_inJobID(candle, step, getJobID_fromEdmSizeFileName(f))][0] #that's in the same dir so candle and step is more than enough
    except IndexError as e: #this would happen if there's no Edmsize report existing !!!
        return False

    # open the file and read into lines
    edm_file = open(edm_fn)
    lines = edm_file.readlines()
    edm_file.close()

    #return the parsed data
    products = parseEdmSize(lines)
    
    return products

def parserEdmSize.parseEdmSize

(

lines

)

Returns a list of dictionaries

Example of data:
>>> parseEdmSize(lines = ( 'File MINBIAS__RAW2DIGI,RECO.root Events 8000', 'TrackingRecHitsOwned_generalTracks__RECO. 407639 18448.4', 'recoPreshowerClusterShapes_multi5x5PreshowerClusterShape_multi5x5PreshowerXClustersShape_RECO. 289.787 41.3311', 'recoPreshowerClusterShapes_multi5x5PreshowerClusterShape_multi5x5PreshowerYClustersShape_RECO. 289.767 47.2686', 'recoCaloClustersToOnerecoClusterShapesAssociation_hybridSuperClusters_hybridShapeAssoc_RECO. 272.111 65.4852'))
[{'module_name': 'generalTracks', 'module_label': '', 'size_compressed': '18448.4', 'cpp_type': 'TrackingRecHitsOwned', 'size_uncompressed': '407639'}, {'module_name': 'multi5x5PreshowerClusterShape', 'module_label': 'multi5x5PreshowerXClustersShape', 'size_compressed': '41.3311', 'cpp_type': 'recoPreshowerClusterShapes', 'size_uncompressed': '289.787'}, {'module_name': 'multi5x5PreshowerClusterShape', 'module_label': 'multi5x5PreshowerYClustersShape', 'size_compressed': '47.2686', 'cpp_type': 'recoPreshowerClusterShapes', 'size_uncompressed': '289.767'}, {'module_name': 'hybridSuperClusters', 'module_label': 'hybridShapeAssoc', 'size_compressed': '65.4852', 'cpp_type': 'recoCaloClustersToOnerecoClusterShapesAssociation', 'size_uncompressed': '272.111'}]

Definition at line 20 of file parserEdmSize.py.

Referenced by getEdmReport().

def parseEdmSize(lines):
    """
    Returns a list of dictionaries

    Example of data:
    >>> parseEdmSize(lines = ( 'File MINBIAS__RAW2DIGI,RECO.root Events 8000', 'TrackingRecHitsOwned_generalTracks__RECO. 407639 18448.4', 'recoPreshowerClusterShapes_multi5x5PreshowerClusterShape_multi5x5PreshowerXClustersShape_RECO. 289.787 41.3311', 'recoPreshowerClusterShapes_multi5x5PreshowerClusterShape_multi5x5PreshowerYClustersShape_RECO. 289.767 47.2686', 'recoCaloClustersToOnerecoClusterShapesAssociation_hybridSuperClusters_hybridShapeAssoc_RECO. 272.111 65.4852'))
    [{'module_name': 'generalTracks', 'module_label': '', 'size_compressed': '18448.4', 'cpp_type': 'TrackingRecHitsOwned', 'size_uncompressed': '407639'}, {'module_name': 'multi5x5PreshowerClusterShape', 'module_label': 'multi5x5PreshowerXClustersShape', 'size_compressed': '41.3311', 'cpp_type': 'recoPreshowerClusterShapes', 'size_uncompressed': '289.787'}, {'module_name': 'multi5x5PreshowerClusterShape', 'module_label': 'multi5x5PreshowerYClustersShape', 'size_compressed': '47.2686', 'cpp_type': 'recoPreshowerClusterShapes', 'size_uncompressed': '289.767'}, {'module_name': 'hybridSuperClusters', 'module_label': 'hybridShapeAssoc', 'size_compressed': '65.4852', 'cpp_type': 'recoCaloClustersToOnerecoClusterShapesAssociation', 'size_uncompressed': '272.111'}]

    """
    #reg returns (cpp_type, mod_name, mod_label, proc_name, size_uncomp, size_comp)

    #TODO: I could change this into shorter ---...

    return [ {"cpp_type": cpp_type, "module_name": mod_name, "module_label": mod_label,
            "size_uncompressed": size_uncomp, "size_compressed": size_comp} # we filter out the proc_name, AND CONVERT TO DICTIONARY
        for (cpp_type, mod_name, mod_label, proc_name, size_uncomp, size_comp) in [
            reg.groups() for reg in [
                edmSize_line_parsing_reg.search(line) for line in lines] 
            if reg ] # we filter out not matched lines
    ]