Subversion Repositories SmartDukaan

import utils

def getMaxValFromDict(dictionary):
    
    max = None
    
    for key, val in dictionary.iteritems():
        if max is not None or max < val:   max = val
    
    return max * 1.0

def getBenchmarkScore(model):
    processor_benchmarks = {
        'Intel 2630QM 2GHz': 6337,
        'Intel 2430M 2.4GHz': 3483,
        'Intel 2410M 2.3GHz': 3362,
        'Intel 2330M 2.2GHz': 2727,
        'Intel 2310M 2.1GHz': 2623,
        'Intel 370M 2.4GHz': 2218,
        'Intel B950 2.1GHz': 2018, 
        'Intel B940 2GHz': 1904,
        'Intel T4500 2.3GHz': 1545,
        'Intel T6750 2.1GHz': 1349,
        'Intel 380UM 1.33GHz': 1301,
        'AMD Neo-K235': 782,
        'AMD E 350': 724,
        'Intel N570 1.66GHz': 646,
        'Intel N455 1.66GHz': 321
    }
    max_score = getMaxValFromDict(processor_benchmarks)
    score = 0.0
    
    for processor, benchmark_score in processor_benchmarks.iteritems():
        if(processor.lower().find(model.lower()) > -1):
            score = benchmark_score
    
    return (score * 10.0) / max_score

def getChipsetScore(chipset):
    chipset_scores = {
            'Intel HM65': 10,
            'Intel HM 57': 9.5,
            'Intel HM55': 9,
            'AMD M888G': 8.5,
            'Intel 45': 8,
            'Intel NM10': 7
    }
    for chipset_name, score in chipset_scores.iteritems():
        if chipset_name.lower().find(chipset) > -1 or chipset.find(chipset_name.lower()) > -1: return score


def getscore(struct):
    score = 0.0
    model_score = 0.0
    
    if struct.has_key('features'):
        features = struct.get('features')
        
        if features.has_key('Processor model'):
            model = features.get('Processor model')
            model_score = getBenchmarkScore(str(model[0]))
    return model_score
        
print "expSlide=" + `expSlide`

struct = utils.contentModel2Struct(expSlide, categoryObj)
print "struct=" + `struct`

score = getscore(struct)