def rank_skills(data):
#takes a skills counter and sorts it with two terms or greater at top, rest below sub sorted by frequency
output_list_end = list()
output_list_beg = list()
for key in data:
terms = len(key.split())
if terms >= 2 or int(data[key]) >= 4:
output_list_beg.append({
'name': key,
'terms': terms,
'frequency': int(data[key]),
'website': create_linkedin_skills_url(key),
'coviewed_model': get_coviewed_skill(key)
})
output_list_beg = sorted(
output_list_beg,
key=lambda output_list_beg: output_list_beg['frequency'],
reverse=True)
for key in data:
terms = len(key.split())
if terms < 2 and int(data[key]) < 4:
output_list_end.append({
'name': key,
'terms': terms,
'frequency': int(data[key]),
'website': create_linkedin_skills_url(key)
})
output_list_end = sorted(
output_list_end,
key=lambda output_list_end: output_list_end['frequency'],
reverse=True)
return {'important': output_list_beg, 'not_important': output_list_end}
def parse_monster_url(job_title):
url = generate_monster_url(job_title)
output = get_url_data_with_retries(url, 3)
soup = BeautifulSoup(output)
ss = soup.find("li", {"id": "backlinkingwidgetSkill"}).find_all("li")
m_related_skills = []
for i in ss:
m_related_skills.append(i.find("a").get_text())
m_related_skills.remove("Show More")
m_related_skills.remove("show less")
print m_related_skills
monster_output = []
for skill in m_related_skills:
monster_output.append({
"skill_name": skill,
"coviewed_model": get_coviewed_skill(skill),
"website": create_linkedin_skills_url(skill)
})
print monster_output
return monster_output
def parse_monster_url(job_title):
url = generate_monster_url(job_title)
output = get_url_data_with_retries(url, 3)
soup = BeautifulSoup(output)
ss = soup.find("li", {"id": "backlinkingwidgetSkill"}).find_all("li")
m_related_skills = []
for i in ss:
m_related_skills.append(i.find("a").get_text())
m_related_skills.remove("Show More")
m_related_skills.remove("show less")
print m_related_skills
monster_output = []
for skill in m_related_skills:
monster_output.append({"skill_name" : skill, "coviewed_model" : get_coviewed_skill(skill), "website": create_linkedin_skills_url(skill)})
print monster_output
return monster_output
def rank_skills(data):
#takes a skills counter and sorts it with two terms or greater at top, rest below sub sorted by frequency
output_list_end = list()
output_list_beg = list()
for key in data:
terms = len(key.split())
if terms >= 2 or int(data[key]) >= 4:
output_list_beg.append({'name': key, 'terms': terms, 'frequency': int(data[key]), 'website': create_linkedin_skills_url(key), 'coviewed_model': get_coviewed_skill(key) })
output_list_beg = sorted(output_list_beg, key=lambda output_list_beg: output_list_beg['frequency'], reverse=True)
for key in data:
terms = len(key.split())
if terms < 2 and int(data[key]) < 4:
output_list_end.append({'name': key, 'terms': terms, 'frequency': int(data[key]), 'website': create_linkedin_skills_url(key)})
output_list_end = sorted(output_list_end, key=lambda output_list_end: output_list_end['frequency'], reverse=True)
return {'important': output_list_beg, 'not_important': output_list_end}