def parseGoogleProfileEducation(soup):
	educations = [""]*15
	eduModule = soup.find("div", {"class":"Ee h5a vna Jqc"})
	if eduModule!=None:
		eduRows = eduModule.findAll("li", {"class":"UZa"})
		# select top 3 educations
		if len(eduRows) > 3:
			eduRows = eduRows[:3]
		for i in range(len(eduRows)):
			row = eduRows[i]
			school = row.find("div", {"class":"PLa"}).getText().strip()
			eduInfo = row.findAll("div", {"class": "ija"})
			# have department, time, description
			if len(eduInfo) == 2:
				desc = eduInfo[1].getText().strip().replace("\n", " ")
			else:
				desc = ""
			department, eduFrom, eduTo = ut.parseTitleTime(eduInfo[0].getText())
			index = 5*i
			educations[index] = school
			educations[index+1] = department
			educations[index+2] = eduFrom
			educations[index+3] = eduTo
			educations[index+4] = desc
		for i in range(len(eduRows),3):
			for j in range(5):
				educations[i*5+j] = ""
	return educations
def parseGoogleProfileEducation(soup):
    educations = [""] * 15
    eduModule = soup.find("div", {"class": "Ee h5a vna Jqc"})
    if eduModule != None:
        eduRows = eduModule.findAll("li", {"class": "UZa"})
        # select top 3 educations
        if len(eduRows) > 3:
            eduRows = eduRows[:3]
        for i in range(len(eduRows)):
            row = eduRows[i]
            school = row.find("div", {"class": "PLa"}).getText().strip()
            eduInfo = row.findAll("div", {"class": "ija"})
            # have department, time, description
            if len(eduInfo) == 2:
                desc = eduInfo[1].getText().strip().replace("\n", " ")
            else:
                desc = ""
            department, eduFrom, eduTo = ut.parseTitleTime(
                eduInfo[0].getText())
            index = 5 * i
            educations[index] = school
            educations[index + 1] = department
            educations[index + 2] = eduFrom
            educations[index + 3] = eduTo
            educations[index + 4] = desc
        for i in range(len(eduRows), 3):
            for j in range(5):
                educations[i * 5 + j] = ""
    return educations
def parseGoogleProfileWork(soup):
    works = [""] * 17
    # workTitles = ["職業","技能","工作經歷"]
    workTitles = ["Occupation", "Skills", "Employment"]
    workModule = soup.find("div", {"class": "Ee l5a vna Tqc"})
    if workModule != None:
        occupation = ""
        skills = ""
        workRows = workModule.findAll("div", {"class": "wna"})
        for row in workRows:
            title = row.find("div", {"class": "Cr"}).getText()
            # Occupation
            if title == workTitles[0]:
                occupation = row.find("div", {"class": "y4"}).getText()
                works[0] = occupation
            # Skills
            elif title == workTitles[1]:
                skills = row.find("div", {"class": "y4"}).getText()
                works[1] = skills
            # Employment
            else:
                employRows = row.findAll("li", {"class": "UZa"})
                if len(employRows) > 3:
                    employRows = employRows[:3]
                for i in range(len(employRows)):
                    row = employRows[i]
                    corp = row.find("div", {"class": "PLa"}).getText().strip()
                    employInfo = row.findAll("div", {"class": "ija"})
                    if len(employInfo) == 2:
                        description = employInfo[1].getText().strip().replace(
                            "\n", " ").replace("\t", " ")
                    else:
                        description = ""
                    job, jobFrom, jobTo = ut.parseTitleTime(
                        employInfo[0].getText())
                    index = i * 5 + 2
                    works[index] = corp
                    works[index + 1] = job
                    works[index + 2] = jobFrom
                    works[index + 3] = jobTo
                    works[index + 4] = description
                for i in range(len(employRows), 3):
                    for j in range(5):
                        works[2 + i * 5 + j] = ""
    return works
def parseGoogleProfileWork(soup):
	works = [""]*17
	# workTitles = ["職業","技能","工作經歷"]
	workTitles = ["Occupation", "Skills", "Employment"]
	workModule = soup.find("div", {"class":"Ee l5a vna Tqc"})
	if workModule != None:
		occupation = ""
		skills = ""
		workRows = workModule.findAll("div", {"class":"wna"})
		for row in workRows:
			title = row.find("div", {"class":"Cr"}).getText()
			# Occupation
			if title == workTitles[0]:
				occupation = row.find("div", {"class":"y4"}).getText()
				works[0] = occupation
			# Skills 
			elif title==workTitles[1]:
				skills = row.find("div", {"class":"y4"}).getText()
				works[1] = skills
			# Employment
			else:
				employRows = row.findAll("li",{"class":"UZa"})
				if len(employRows)>3:
					employRows = employRows[:3]
				for i in range(len(employRows)):
					row = employRows[i]
					corp = row.find("div", {"class":"PLa"}).getText().strip()
					employInfo = row.findAll("div", {"class":"ija"})
					if len(employInfo) == 2:
						description = employInfo[1].getText().strip().replace("\n", " ").replace("\t", " ")
					else:
						description = ""
					job, jobFrom, jobTo = ut.parseTitleTime(employInfo[0].getText())
					index = i*5+2
					works[index] = corp
					works[index+1] = job
					works[index+2] = jobFrom
					works[index+3] = jobTo
					works[index+4] = description
				for i in range(len(employRows),3):
					for j in range(5):
						works[2+i*5+j] = ""
	return works