def evaluate_employee_scores(company, title, location):
profile_list = scrapy_reader.get_company_dump(company, title, location)
employee_scores = [None] * len(profile_list)
for i in range(0, len(profile_list)):
current_employee_profile = profile_list[i]
skills_current_user = current_employee_profile["skills"]
employee_scores[i], vector = score_evaluation(skills_current_user, company, title, location)
return employee_scores
def evaluate_employee_scores(company, title, location):
profile_list = scrapy_reader.get_company_dump(company, title, location)
employee_scores = [None] * len(profile_list)
for i in range(0, len(profile_list)):
current_employee_profile = profile_list[i]
skills_current_user = current_employee_profile['skills']
employee_scores[i], vector = score_evaluation(skills_current_user,
company, title, location)
return employee_scores
def score_evaluation(user_skills, user_company, user_title, user_location):
profile_list = scrapy_reader.get_company_dump(user_company, user_title,
user_location)
if len(profile_list) == 0:
return (0, {})
IndexA = defaultdict(list)
IndexB = defaultdict(list)
skillsVector = {}
skillsVector = defaultdict(lambda: 0, skillsVector)
skillsUser = [x.lower() for x in user_skills]
for j in range(0, len(profile_list)):
value = profile_list[j]
skillsCurrentUser = [x.lower() for x in value['skills']]
for skill in skillsCurrentUser:
skillsVector[skill] += 1
'''
Skill Score evaluation
'''
sortedSkillsVector = sorted(skillsVector,
key=lambda key: skillsVector[key],
reverse=True)
'''
Sorted skills formatted to display on UI
'''
display_skills = []
for skills_vector in sortedSkillsVector:
display_skills.append(skills_vector.title())
flag = 0
for skill in sortedSkillsVector[0:len(skillsUser)]:
IndexA[skill] = skillsVector[skill]
if skillsVector[skill] >= len(profile_list) / 3:
IndexB[skill] = skillsVector[skill]
else:
flag = 1
if flag == 0:
for skill in sortedSkillsVector[len(skillsUser) +
1:len(sortedSkillsVector)]:
if skillsVector[skill] >= len(profile_list) / 3:
IndexB[skill] = skillsVector[skill]
else:
break
'''
skillsVector - Dictionary of all skills in the company
IndexA - Dictionary of top x skills, where x is no: of skills of current user
IndexB - Dictionary of skills which at least half of the employees in the company possess
'''
#skillScore = skill_score(skillsVector, skillsUser)
#skillScore = skill_score(IndexA, skillsUser)
skillScore = skill_score(IndexB, skillsUser)
return skillScore, display_skills[0:10]
def score_evaluation(user_skills, user_company, user_title, user_location):
profile_list = scrapy_reader.get_company_dump(user_company, user_title, user_location)
if len(profile_list) == 0:
return (0, {})
IndexA = defaultdict(list)
IndexB = defaultdict(list)
skillsVector = {}
skillsVector = defaultdict(lambda: 0, skillsVector)
skillsUser = [x.lower() for x in user_skills]
for j in range(0, len(profile_list)):
value = profile_list[j]
skillsCurrentUser = [x.lower() for x in value["skills"]]
for skill in skillsCurrentUser:
skillsVector[skill] += 1
"""
Skill Score evaluation
"""
sortedSkillsVector = sorted(skillsVector, key=lambda key: skillsVector[key], reverse=True)
"""
Sorted skills formatted to display on UI
"""
display_skills = []
for skills_vector in sortedSkillsVector:
display_skills.append(skills_vector.title())
flag = 0
for skill in sortedSkillsVector[0 : len(skillsUser)]:
IndexA[skill] = skillsVector[skill]
if skillsVector[skill] >= len(profile_list) / 3:
IndexB[skill] = skillsVector[skill]
else:
flag = 1
if flag == 0:
for skill in sortedSkillsVector[len(skillsUser) + 1 : len(sortedSkillsVector)]:
if skillsVector[skill] >= len(profile_list) / 3:
IndexB[skill] = skillsVector[skill]
else:
break
"""
skillsVector - Dictionary of all skills in the company
IndexA - Dictionary of top x skills, where x is no: of skills of current user
IndexB - Dictionary of skills which at least half of the employees in the company possess
"""
# skillScore = skill_score(skillsVector, skillsUser)
# skillScore = skill_score(IndexA, skillsUser)
skillScore = skill_score(IndexB, skillsUser)
return skillScore, display_skills[0:10]
