今天学做的是候选人从笔试到面试的一个流转。
class meta下面 db_table = u'candidate' 这是代表数据库显示的表名 verbose_name = u'应聘者' 后台管理系统页面上显示的名字 choice值里面,元组的一个值代表存在数据库里的值,第二个值是页面显示的值
from django.db import models
# Create your models here.
from django.contrib.auth.models import User
from jobs.models import DEGREE_TYPE
# 第一轮面试结果
FIRST_INTERVIEW_RESULT_TYPE = (('建议复试', '建议复试'), ('待定', '待定'), ('放弃', '放弃'))
# 复试面试建议
INTERVIEW_RESULT_TYPE = (('建议录用', '建议录用'), ('待定', '待定'), ('放弃', '放弃'))
# HR终面结论
HR_SCORE_TYPE = (('S', 'S'), ('A', 'A'), ('B', 'B'), ('C', 'C'))
class Candidate(models.Model):
# 基础信息
userid = models.IntegerField(unique=True, blank=True, null=True, verbose_name=u'应聘者ID')
username = models.CharField(max_length=135, verbose_name=u'姓名')
city = models.CharField(max_length=135, verbose_name=u'城市')
phone = models.CharField(max_length=135, verbose_name=u'手机号码')
email = models.EmailField(max_length=135, blank=True, verbose_name=u'邮箱')
apply_position = models.CharField(max_length=135, blank=True, verbose_name=u'应聘职位')
born_address = models.CharField(max_length=135, blank=True, verbose_name=u'生源地')
gender = models.CharField(max_length=135, blank=True, verbose_name=u'性别')
candidate_remark = models.CharField(max_length=135, blank=True, verbose_name=u'候选人信息备注')
# 学校与学历信息
bachelor_school = models.CharField(max_length=135, blank=True, verbose_name=u'本科学校')
master_school = models.CharField(max_length=135, blank=True, verbose_name=u'研究生学校')
doctor_school = models.CharField(max_length=135, blank=True, verbose_name=u'博士生学校')
major = models.CharField(max_length=135, blank=True, verbose_name=u'专业')
degree = models.CharField(max_length=135, choices=DEGREE_TYPE, blank=True, verbose_name=u'学历')
# 综合能力测评成绩,笔试测评成绩
test_score_of_general_ability = models.DecimalField(decimal_places=1, null=True, max_digits=3, blank=True,
verbose_name=u'综合能力测评成绩')
paper_score = models.DecimalField(decimal_places=1, null=True, max_digits=3, blank=True, verbose_name=u'笔试成绩')
# 第一轮面试记录
first_score = models.DecimalField(decimal_places=1, null=True, max_digits=2, blank=True, verbose_name=u'初试分',
help_text=u'1-5分,极优秀: >=4.5,优秀: 4-4.4,良好: 3.5-3.9,一般: 3-3.4,较差: <3分')
first_learning_ability = models.DecimalField(decimal_places=1, null=True, max_digits=2, blank=True,
verbose_name=u'学习能力得分')
first_professional_competency = models.DecimalField(decimal_places=1, null=True, max_digits=2, blank=True,
verbose_name=u'专业能力得分')
first_advantage = models.TextField(max_length=1024, blank=True, verbose_name=u'优势')
first_disadvantage = models.TextField(max_length=1024, blank=True, verbose_name=u'顾虑和不足')
first_result = models.CharField(max_length=256, choices=FIRST_INTERVIEW_RESULT_TYPE, blank=True,
verbose_name=u'初试结果')
first_recommend_position = models.CharField(max_length=256, blank=True, verbose_name=u'推荐部门')
first_interviewer_user = models.ForeignKey(User, related_name='first_interviewer_user', blank=True, null=True, on_delete=models.CASCADE, verbose_name=u'面试官')
first_remark = models.CharField(max_length=135, blank=True, verbose_name=u'初试备注')
# 第二轮面试记录
second_score = models.DecimalField(decimal_places=1, null=True, max_digits=2, blank=True, verbose_name=u'专业复试得分',
help_text=u'1-5分,极优秀: >=4.5,优秀: 4-4.4,良好: 3.5-3.9,一般: 3-3.4,较差: <3分')
second_learning_ability = models.DecimalField(decimal_places=1, null=True, max_digits=2, blank=True,
verbose_name=u'学习能力得分')
second_professional_competency = models.DecimalField(decimal_places=1, null=True, max_digits=2, blank=True,
verbose_name=u'专业能力得分')
second_pursue_of_excellence = models.DecimalField(decimal_places=1, null=True, max_digits=2, blank=True,
verbose_name=u'追求卓越得分')
second_communication_ability = models.DecimalField(decimal_places=1, null=True, max_digits=2, blank=True,
verbose_name=u'沟通能力得分')
second_pressure_score = models.DecimalField(decimal_places=1, null=True, max_digits=2, blank=True,
verbose_name=u'抗压能力得分')
second_advantage = models.TextField(max_length=1024, blank=True, verbose_name=u'优势')
second_disadvantage = models.TextField(max_length=1024, blank=True, verbose_name=u'顾虑和不足')
second_result = models.CharField(max_length=256, choices=INTERVIEW_RESULT_TYPE, blank=True, verbose_name=u'专业复试结果')
second_recommend_position = models.CharField(max_length=256, blank=True, verbose_name=u'建议方向或推荐部门')
second_interviewer_user = models.ForeignKey(User, related_name='second_interviewer_user', blank=True, null=True, on_delete=models.CASCADE, verbose_name=u'二面面试官')
second_remark = models.CharField(max_length=135, blank=True, verbose_name=u'专业复试备注')
# HR终面
hr_score = models.CharField(max_length=10, choices=HR_SCORE_TYPE, blank=True, verbose_name=u'HR复试综合等级')
hr_responsibility = models.CharField(max_length=10, choices=HR_SCORE_TYPE, blank=True, verbose_name=u'HR责任心')
hr_communication_ability = models.CharField(max_length=10, choices=HR_SCORE_TYPE, blank=True,
verbose_name=u'HR坦诚沟通')
hr_logic_ability = models.CharField(max_length=10, choices=HR_SCORE_TYPE, blank=True, verbose_name=u'HR逻辑思维')
hr_potential = models.CharField(max_length=10, choices=HR_SCORE_TYPE, blank=True, verbose_name=u'HR发展潜力')
hr_stability = models.CharField(max_length=10, choices=HR_SCORE_TYPE, blank=True, verbose_name=u'HR稳定性')
hr_advantage = models.TextField(max_length=1024, blank=True, verbose_name=u'优势')
hr_disadvantage = models.TextField(max_length=1024, blank=True, verbose_name=u'顾虑和不足')
hr_result = models.CharField(max_length=256, choices=INTERVIEW_RESULT_TYPE, blank=True, verbose_name=u'HR复试结果')
hr_interviewer_user = models.ForeignKey(User, related_name='hr_interviewer_user', blank=True, null=True, on_delete=models.CASCADE, verbose_name=u'HR面试官')
hr_remark = models.CharField(max_length=256, blank=True, verbose_name=u'HR复试备注')
creator = models.CharField(max_length=256, blank=True, verbose_name=u'候选人数据的创建人')
created_date = models.DateTimeField(auto_now_add=True, verbose_name=u'创建时间')
modified_date = models.DateTimeField(auto_now=True, null=True, blank=True, verbose_name=u'更新时间')
last_editor = models.CharField(max_length=256, blank=True, verbose_name=u'最后编辑者')
class Meta:
db_table = u'candidate'
verbose_name = u'应聘者'
verbose_name_plural = u'应聘者'
# Python 2 优先使用这个方法,把对象转换成字符串; 如果没有__unicode__()方法,使用 __str__()方法
def __unicode__(self):
return self.username
# Python 3 直接定义 __str__() 方法即可,系统使用这个方法来把对象转换成字符串
def __str__(self):
return self.username
makemigrations
migrate
这个应用下的admin.py
增加web后台的查询字段,筛选条件,分组展示
from django.contrib import admin
from interview.models import Candidate
# Register your models here.
class CandidateAdmin(admin.ModelAdmin):
exclude = ('creator', 'created_date', 'modified_date')
list_display = ('username', 'city', 'bachelor_school','paper_score',
'first_score', 'first_result', 'first_interviewer_user',
'second_score','second_result', 'second_interviewer_user',
'hr_score', 'hr_result', 'hr_interviewer_user')
#查询字段
search_fields = ('username','phone','email','bachelor_school')
#筛选条件
list_filter = ('city','first_result','second_result','hr_result')
#分组
fieldsets = (
(None,{'fields':("userid",("city","phone"),"email","apply_position","born_address","gender","candidate_remark","bachelor_school","master_school","doctor_school","major","degree","test_score_of_general_ability","paper_score")}),
('第一轮面试记录',{'fields':("first_score",("first_learning_ability","first_professional_competency"),"first_advantage","first_disadvantage","first_result","first_recommend_position","first_interviewer_user","first_remark")}),
('第二轮面试记录',{'fields':("second_score",("second_learning_ability","second_professional_competency"),"second_pursue_of_excellence","second_communication_ability","second_pressure_score","second_advantage","second_disadvantage","second_result","second_recommend_position","second_interviewer_user","second_remark")}),
('HR复试记录',{'fields':(("hr_score","hr_responsibility","hr_communication_ability"),"hr_logic_ability","hr_potential","hr_stability","hr_advantage","hr_disadvantage","hr_result","hr_interviewer_user","hr_remark")})
)
admin.site.register(Candidate,CandidateAdmin)
页面效果
分组展示:
在app下面新建文件夹management-commands
import_candidate.py
import csv
from django.core.management import BaseCommand
from interview.models import Candidate
class Command(BaseCommand):
help = '从一个CSV文件的内容中读取候选人列表,导入到数据库中'
def add_arguments(self, parser):
parser.add_argument('--path', type=str)
def handle(self, *args, **kwargs):
path = kwargs['path']
with open(path, 'r', encoding="utf-8") as f:
reader = csv.reader(f)
for row in reader:
print(row[0])
candidate = Candidate.objects.create(
username=row[0],
city=row[1],
phone=row[2],
bachelor_school=row[3],
major=row[4],
degree=row[5],
test_score_of_general_ability=row[6],
paper_score=row[7]
)
csv数据
导入命令: