Exemple #1
0
 def __init__(self):
     self.evaluator = Evaluator.Evaluator()
     self.parser = Parser()
     self.converter = Converter.DocConverter()
     self.scorer = Scorer()
     self.cv_list = []
     self.cv_scores = []
     self.setup_evaluators()
     self.job_function = ""
Exemple #2
0
class Controller():
    def __init__(self):
        self.evaluator = Evaluator.Evaluator()
        self.parser = Parser()
        self.converter = Converter.DocConverter()
        self.scorer = Scorer()
        self.cv_list = []
        self.cv_scores = []
        self.setup_evaluators()
        self.job_function = ""

    def setup_evaluators(self):
        language_evaluator = LangEvaluator()
        skill_evaluator = SkillEvaluator()
        education_evaluator = EduEvaluator()
        experience_evaluator = ExpEvaluator()
        other_evaluator = OtherEvaluator()
        self.evaluator.add(language_evaluator)
        self.evaluator.add(skill_evaluator)
        self.evaluator.add(education_evaluator)
        self.evaluator.add(experience_evaluator)
        self.evaluator.add(other_evaluator)

    def clear(self):
        self.cv_list = []
        self.cv_scores = []

    def setup_requirement(self, requirement):
        self.evaluator.set_requirement(requirement)

    def set_weight(self, weight):
        self.scorer.set_weight(weight)

    def set_job_function(self, job_function):
        ""

    def evaluate(self, cvs):
        self.clear()
        for cv in cvs:
            CV_Text = self.converter.documentToText(cv).decode('unicode_escape').encode('ascii','ignore')
            cvobj = self.parser.convertToObj(CV_Text)
            #pp.pprint(cvobj)
            self.cv_list.append(cvobj)

            self.evaluator.set_cv(cvobj)
            self.cv_scores.append(self.evaluator.evaluate())

            #x.print_rank()

    def get_scores(self):
        return self.scorer.cal_all_score(self.cv_scores)

    def get_cv_list(self):
        return self.cv_list

    def get_cv_score(self):
        return self.cv_scores
Exemple #3
0
from cvClassifier.Classifier import Classifier
from cvConverter import Converter
from cvParser.Parser import Parser
import os

__author__ = 'siwei'

root_dir_path = os.path.dirname(os.path.abspath(__file__))

converter = Converter.DocConverter()
parser = Parser()

cl = Classifier()
cl.load()

to_classify = ["cv/simple.doc"]
classified_cv = []
for cv in to_classify:
    CV_Text = converter.documentToText(root_dir_path+"/"+cv)
    cvobj = parser.convertToObj(CV_Text)
    classified_cv.append((cv, cl.classify(cvobj)))

print classified_cv