def __init__(self, input_file):
dom = etree.parse(input_file)
doc = dom.xpath("/response/result/doc")[0]
self.id = get_solr_str(doc, 'id')
self.type = get_solr_str(doc, 'job_type')
self.title = get_solr_str(doc, 'job_title')
self.company = get_solr_str(doc, 'job_company')
self.location = get_solr_str(doc, 'job_location')
self.description = get_solr_str(doc, 'job_description')
self.min_salary = get_solr_str(doc, 'salary_bracket_min')
self.max_salary = get_solr_str(doc, 'salary_bracket_max')
def __init__(self, input_file):
dom = etree.parse(input_file)
doc = dom.xpath("/response/result/doc")[0]
self.id = get_solr_str(doc, 'user_id')
self.first_name = get_solr_str(doc, 'user_first_name')
self.last_name = get_solr_str(doc, 'user_last_name')
self.locations = get_solr_str(doc, 'user_locations')
self.resume = get_solr_arr(doc, 'content')
self.summary = get_solr_str(doc, 'linkedin_summary')
self.score = 0
positions = loads(get_solr_str(doc, 'linkedin_positions'))['values']
self.positions = map(lambda x: Position(x), positions)
skills = loads(get_solr_str(doc, 'linkedin_skills'))['values']
# Nothing to do with endorsements yet, so this should be okay?
# If we get endorsements this should probably be wrapped in a class
# so we can count them etc.
self.skills = map(lambda x: x['skill']['name'], skills)
