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 = ""
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
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