1. 开发语言：Python
2. 框架：django
3. Python版本：python3.8
4. 数据库：mysql 5.7
5. 数据库工具：Navicat12
6. 开发软件：PyCharm

系统展示

系统首页

盐城岗位页面

招聘信息页面

个人中心页面

管理员登录

管理员功能界面

用户管理

企业界面

盐城岗位界面

招聘信息界面

简历投递界面

面试信息界面

个人简历界面

企业功能界面

用户后台界面

摘要

系统采用Python、HTML、CSS、JS以及MySQL数据库编程，使用django框架实现前后端的连接和交互功能。用户需要先注册账号，然后才能登录系统并使用功能。本文还对就业岗位推荐系统的研究现状和意义进行了详细介绍。随着大数据和人工智能技术的不断发展，信息管理系统正逐渐成为网络应用中越来越重要的部分。本文提出的就业岗位推荐系统将为用户提供更加高效和准确的信息智能化服务，满足用户的需求。总之，本文旨在介绍一套具有实际应用意义基于机器学习的的就业岗位推荐系统，针对传统管理方式进行了重要改进。通过对系统的实现和应用，本文展示了高效、准确的就业岗位推荐系统应该具备的特点和功能，为就业岗位推荐系统的研究和应用提供了有益的参考。

研究背景

由于各行业的工作大部分为高重复度的手工查找，这些工作耗费了大量人力资源又很容易出现细小的差错，如此可见都存在一定的缺点。因此，同时结合Python语言，设计并实现一个基于django的就业岗位推荐系统，就具有重要的背景和意义。一方面，通过采用VUE框架技术，可以获取更加全面和高质量的就业岗位推荐系统，并根据用户需求进行分类和整理，便于用户快速浏览和选择。另一方面，通过就业岗位推荐系统的设计和实现，可以让用户通过简单方便的操作方式找到合适的招聘信息，并保证信息的及时更新和可靠性，提升用户的满意度。此外，该项目还能够为Python技术的实践提供机会。Python是目前最为流行的编程语言之一，具有易学易入门、功能强大、高效等优点，引起了越来越多年轻人的兴趣。通过实现一个就业岗位推荐系统，可以让初学者更深入地理解Python编程的特点和运用方法，综上所述，基于django的就业岗位推荐系统的设计与实现，具有实际应用和教育意义，有助于提升用户的体验和趣味性，同时也能够为Python技术的学习者提供有益的实践平台。

关键技术

Python是解释型的脚本语言，在运行过程中，把程序转换为字节码和机器语言，说明性语言的程序在运行之前不必进行编译，而是一个专用的解释器，当被执行时，它都会被翻译，与之对应的还有编译性语言。

同时，这也是一种用于电脑编程的跨平台语言，这是一门将编译、交互和面向对象相结合的脚本语言（script language）。

Django用Python编写，属于开源Web应用程序框架。采用（模型M、视图V和模板t）的框架模式。该框架以比利时吉普赛爵士吉他手詹戈·莱因哈特命名。该架构的主要组件如下：

1.用于创建模型的对象关系映射。

2.最终目标是为用户设计一个完美的管理界面。

3.是目前最流行的URL设计解决方案。

4.模板语言对设计师来说是最友好的。

5.缓存系统。

Vue是一款流行的开源JavaScript框架，用于构建用户界面和单页面应用程序。Vue的核心库只关注视图层，易于上手并且可以与其他库或现有项目轻松整合。

MYSQL数据库运行速度快，安全性能也很高，而且对使用的平台没有任何的限制，所以被广泛应运到系统的开发中。MySQL是一个开源和多线程的关系管理数据库系统，MySQL是开放源代码的数据库，具有跨平台性。

B/S（浏览器/服务器）结构是目前主流的网络化的结构模式，它能够把系统核心功能集中在服务器上面，可以帮助系统开发人员简化操作，便于维护和使用。

系统分析

对系统的可行性分析以及对所有功能需求进行详细的分析，来查看该系统是否具有开发的可能。

系统设计

功能模块设计和数据库设计这两部分内容都有专门的表格和图片表示。

系统实现

管理员进入系统主页面，主要功能包括对系统首页、用户、企业、盐城岗位、行业类别、招聘信息、简历投递、面试安排、面试信息、面试结果、个人简历、薪资预测、系统管理、个人中心等进行操作。企业进入系统主页面，主要功能包括对系统首页、招聘信息、简历投递、面试安排、面试信息、面试结果、个人中心等进行操作。用户进入系统后台管理，主要功能包括对首页、简历投递、面试安排、面试信息、面试结果、个人简历、薪资预测、个人中心等进行操作。登录系统后，用户即可进入主页查看首页、盐城岗位、招聘信息、公告信息、后台管理、个人中心等，并开始执行业务操作。

代码实现

#获取当前文件路径的根目录
parent_directory = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
dbtype, host, port, user, passwd, dbName, charset,hasHadoop = config_read(os.path.join(parent_directory,"config.ini"))
#MySQL连接配置
mysql_config = {
    'host': host,
    'user':user,
    'password': passwd,
    'database': dbName,
    'port':port
}
def auto_figsize(x_data, base_width=8, base_height=6, width_per_point=0.2):
    """根据数据点数量自动调整画布宽度"""
    num_points = len(x_data)
    dynamic_width = base_width + width_per_point * num_points
    return (dynamic_width, base_height)

#获取预测可视化图表接口
def curriculumvitaeforecast_forecastimgs(request):
    if request.method in ["POST", "GET"]:
        msg = {'code': normal_code, 'message': 'success'}
        # 指定目录
        directory = os.path.join(parent_directory, "templates", "upload", "curriculumvitaeforecast")
        # 获取目录下的所有文件和文件夹名称
        all_items = os.listdir(directory)
        # 过滤出文件（排除文件夹）
        files = [f'upload/curriculumvitaeforecast/{item}' for item in all_items if os.path.isfile(os.path.join(directory, item))]
        msg["data"] = files
        fontlist=[]
        for font in fm.fontManager.ttflist:
            fontlist.append(font.name)
        msg["message"]=fontlist
        return JsonResponse(msg, encoder=CustomJsonEncoder)

def curriculumvitaeforecast_forecast(request):
    if request.method in ["POST", "GET"]:
        msg = {'code': normal_code, "msg": mes.normal_code}
        #1.获取数据集
        req_dict = request.session.get("req_dict")
        connection = pymysql.connect(**mysql_config)
        query = "SELECT industrycategory,workexperience,educationalbackground,fullname,paylevel, intendedposition FROM curriculumvitae"
        #2.处理缺失值
        data = pd.read_sql(query, connection).dropna()
        id = req_dict.pop('id',None)
        df = to_forecast(data,req_dict,None)
        #9.创建数据库连接,将DataFrame 插入数据库
        connection_string = f"mysql+pymysql://{mysql_config['user']}:{mysql_config['password']}@{mysql_config['host']}:{mysql_config['port']}/{mysql_config['database']}"
        engine = create_engine(connection_string)
        try:
            if req_dict :
                #遍历 DataFrame，并逐行更新数据库
                with engine.connect() as connection:
                    for index, row in df.iterrows():
                        sql = """
                        INSERT INTO curriculumvitaeforecast (id
                        ,intendedposition
                        )
                        VALUES (%(id)s
                    ,%(intendedposition)s
                        )
                        ON DUPLICATE KEY UPDATE
                        intendedposition = VALUES(intendedposition)
                        """
                        connection.execute(sql, {'id': id
                            , 'intendedposition': row['intendedposition']
                        })
            else:
                df.to_sql('curriculumvitaeforecast', con=engine, if_exists='append', index=False)
            print("数据更新成功！")
        except Exception as e:
            print(f"发生错误: {e}")
        finally:
            engine.dispose()  # 关闭数据库连接
        return JsonResponse(msg, encoder=CustomJsonEncoder)
def to_forecast(data,req_dict,value):
    if len(data) < 5:
        print(f"的样本数量不足: {len(data)}")
        return pd.DataFrame()
    target_names = data[
        'intendedposition'
    ].unique()
    #3.处理特征值和目标值
    labels={}
    for key in data.keys():
        if pd.api.types.is_string_dtype(data[key]):
            label_encoder = LabelEncoder()
            labels[key] = label_encoder
            data[key] = label_encoder.fit_transform(data[key])
    #4.数据集划分
    X = data[[
        'industrycategory',
        'workexperience',
        'educationalbackground',
        'fullname',
        'paylevel',
    ]]
    y = data[[
        'intendedposition',
    ]]
    x_train, x_test, y_train, y_test = train_test_split(X, y,test_size=0.2, random_state=22)
    #5.构建预测特征值
    #根据输入的特征值去预测
    if req_dict:
        req_dict.pop('addtime',None)
        future_df = pd.DataFrame([req_dict])
        for key in future_df.keys():
           if key in labels:
               encoder = labels[key]
               values = future_df[key][0]
               try:
                   values = encoder.transform([values])[0]
               except ValueError as e: #处理未见过的标签
                   values = np.array([encoder.transform([v])[0] if v in encoder.classes_ else -1 for v in values]).sum()
               future_df[key][0] = values
    else:
        future_df = x_test
    #特征工程-标准化
    estimator_file = os.path.join(parent_directory, "curriculumvitaeforecast.pkl")
    #使用随机森林进行分类
    estimator = RandomForestClassifier(n_estimators=100, random_state=42)
    _, num_columns = y_train.shape
    if num_columns>=2:
        estimator.fit(x_train, y_train)
    else:
        estimator.fit(x_train, y_train.values.ravel())
    #预测测试集
    y_pred = estimator.predict(x_test)
    plt.figure(figsize=auto_figsize(target_names))

    plt.rcParams['font.sans-serif'] = ['SimHei']  # 使用黑体 SimHei
    plt.rcParams['axes.unicode_minus'] = False  # 解决负号 '-' 显示为方块的问题
    cm = confusion_matrix(y_test, y_pred)
    sns.heatmap(cm, annot=True, fmt="d", cmap="Blues", xticklabels=target_names, yticklabels=target_names)
    plt.xlabel("预测值")
    plt.ylabel("实际值")
    plt.title("实际值VS预测值(热图)")
    directory =os.path.join(parent_directory, "templates","upload","curriculumvitaeforecast","figure.png")
    os.makedirs(os.path.dirname(directory), exist_ok=True)
    plt.savefig(directory)
    plt.clf()
    plt.close()
    #输出准确率
    accuracy = accuracy_score(y_test, y_pred)
    print(f"Accuracy: {accuracy:.2f}")
    #绘制特征重要性
    feature_importances = estimator.feature_importances_
    features = [
        'industrycategory',
        'workexperience',
        'educationalbackground',
        'fullname',
        'paylevel',
    ]
    plt.figure(figsize=(10, 6))
    sns.barplot(x=feature_importances, y=features)
    plt.xlabel("特征重要性评分")
    plt.ylabel("特征")
    plt.title("随机森林中的特征重要性")
    if value!=None:
        directory =os.path.join(parent_directory, "templates","upload","curriculumvitaeforecast","{value}_figure.png")
        os.makedirs(os.path.dirname(directory), exist_ok=True)
        plt.savefig(directory)
    else:
        directory =os.path.join(parent_directory, "templates","upload","curriculumvitaeforecast","figure_other.png")
        os.makedirs(os.path.dirname(directory), exist_ok=True)
        plt.savefig(directory)
    plt.clf()
    plt.close()
    #保存模型
    joblib.dump(estimator, estimator_file)

    #7.进行预测
    y_predict = estimator.predict(future_df)
    if isinstance(y_predict[0], numbers.Number) or len(y_predict[0])<2:
        y_predict = np.mean(y_predict, axis=0)
        if not isinstance(y_predict, np.ndarray):
            y_predict = np.expand_dims(y_predict, axis=0)
    df = pd.DataFrame(y_predict, columns=[
        'intendedposition',
    ])
    df['intendedposition']=df['intendedposition'].astype(int)
    df['intendedposition'] = labels['intendedposition'].inverse_transform(df['intendedposition'])
    return df

def curriculumvitaeforecast_register(request):
    if request.method in ["POST", "GET"]:
        msg = {'code': normal_code, "msg": mes.normal_code}
        req_dict = request.session.get("req_dict")


        error = curriculumvitaeforecast.createbyreq(curriculumvitaeforecast, curriculumvitaeforecast, req_dict)
        if error is Exception or (type(error) is str and "Exception" in error):
            msg['code'] = crud_error_code
            msg['msg'] = "用户已存在,请勿重复注册!"
        else:
            msg['data'] = error
        return JsonResponse(msg, encoder=CustomJsonEncoder)

def curriculumvitaeforecast_login(request):
    if request.method in ["POST", "GET"]:
        msg = {'code': normal_code, "msg": mes.normal_code}
        req_dict = request.session.get("req_dict")
        datas = curriculumvitaeforecast.getbyparams(curriculumvitaeforecast, curriculumvitaeforecast, req_dict)
        if not datas:
            msg['code'] = password_error_code
            msg['msg'] = mes.password_error_code
            return JsonResponse(msg, encoder=CustomJsonEncoder)

        try:
            __sfsh__= curriculumvitaeforecast.__sfsh__
        except:
            __sfsh__=None

        if  __sfsh__=='是':
            if datas[0].get('sfsh')!='是':
                msg['code']=other_code
                msg['msg'] = "账号已锁定，请联系管理员审核!"
                return JsonResponse(msg, encoder=CustomJsonEncoder)
                
        req_dict['id'] = datas[0].get('id')


        return Auth.authenticate(Auth, curriculumvitaeforecast, req_dict)


def curriculumvitaeforecast_logout(request):
    if request.method in ["POST", "GET"]:
        msg = {
            "msg": "登出成功",
            "code": 0
        }

        return JsonResponse(msg, encoder=CustomJsonEncoder)


def curriculumvitaeforecast_resetPass(request):
    '''
    '''
    if request.method in ["POST", "GET"]:
        msg = {"code": normal_code, "msg": mes.normal_code}

        req_dict = request.session.get("req_dict")

        columns=  curriculumvitaeforecast.getallcolumn( curriculumvitaeforecast, curriculumvitaeforecast)

        try:
            __loginUserColumn__= curriculumvitaeforecast.__loginUserColumn__
        except:
            __loginUserColumn__=None
        username=req_dict.get(list(req_dict.keys())[0])
        if __loginUserColumn__:
            username_str=__loginUserColumn__
        else:
            username_str=username
        if 'mima' in columns:
            password_str='mima'
        else:
            password_str='password'

        init_pwd = '123456'
        recordsParam = {}
        recordsParam[username_str] = req_dict.get("username")
        records=curriculumvitaeforecast.getbyparams(curriculumvitaeforecast, curriculumvitaeforecast, recordsParam)
        if len(records)<1:
            msg['code'] = 400
            msg['msg'] = '用户不存在'
            return JsonResponse(msg, encoder=CustomJsonEncoder)

        eval('''curriculumvitaeforecast.objects.filter({}='{}').update({}='{}')'''.format(username_str,username,password_str,init_pwd))
        
        return JsonResponse(msg, encoder=CustomJsonEncoder)



def curriculumvitaeforecast_session(request):
    '''
    '''
    if request.method in ["POST", "GET"]:
        msg = {"code": normal_code,"msg": mes.normal_code, "data": {}}

        req_dict={"id":request.session.get('params').get("id")}
        msg['data']  = curriculumvitaeforecast.getbyparams(curriculumvitaeforecast, curriculumvitaeforecast, req_dict)[0]

        return JsonResponse(msg, encoder=CustomJsonEncoder)


def curriculumvitaeforecast_default(request):

    if request.method in ["POST", "GET"]:
        msg = {"code": normal_code,"msg": mes.normal_code, "data": {}}
        req_dict = request.session.get("req_dict")
        req_dict.update({"isdefault":"是"})
        data=curriculumvitaeforecast.getbyparams(curriculumvitaeforecast, curriculumvitaeforecast, req_dict)
        if len(data)>0:
            msg['data']  = data[0]
        else:
            msg['data']  = {}
        return JsonResponse(msg, encoder=CustomJsonEncoder)

def curriculumvitaeforecast_page(request):
    '''
    '''
    if request.method in ["POST", "GET"]:
        msg = {"code": normal_code, "msg": mes.normal_code,  "data":{"currPage":1,"totalPage":1,"total":1,"pageSize":10,"list":[]}}
        req_dict = request.session.get("req_dict")

        global curriculumvitaeforecast
        #当前登录用户信息
        tablename = request.session.get("tablename")
        # 判断当前表的表属性isAdmin,为真则是管理员
        __isAdmin__ = None
        allModels = apps.get_app_config('main').get_models()
        for m in allModels:
            if m.__tablename__==tablename:
                try:
                    __isAdmin__ = m.__isAdmin__
                except:
                    __isAdmin__ = None
                break
        if __isAdmin__!="是":
            req_dict["userid"]=request.session.get("params").get("id")

        msg['data']['list'], msg['data']['currPage'], msg['data']['totalPage'], msg['data']['total'], \
        msg['data']['pageSize']  =curriculumvitaeforecast.page(curriculumvitaeforecast, curriculumvitaeforecast, req_dict, request)
        return JsonResponse(msg, encoder=CustomJsonEncoder)

def curriculumvitaeforecast_autoSort(request):
    '''
    ．智能推荐功能(表属性：[intelRecom（是/否）],新增clicktime[前端不显示该字段]字段（调用info/detail接口的时候更新），按clicktime排序查询)
主要信息列表（如商品列表，新闻列表）中使用，显示最近点击的或最新添加的5条记录就行
    '''
    if request.method in ["POST", "GET"]:
        msg = {"code": normal_code, "msg": mes.normal_code,  "data":{"currPage":1,"totalPage":1,"total":1,"pageSize":10,"list":[]}}
        req_dict = request.session.get("req_dict")
        if "clicknum"  in curriculumvitaeforecast.getallcolumn(curriculumvitaeforecast,curriculumvitaeforecast):
            req_dict['sort']='clicknum'
        elif "browseduration"  in curriculumvitaeforecast.getallcolumn(curriculumvitaeforecast,curriculumvitaeforecast):
            req_dict['sort']='browseduration'
        else:
            req_dict['sort']='clicktime'
        req_dict['order']='desc'
        msg['data']['list'], msg['data']['currPage'], msg['data']['totalPage'], msg['data']['total'], \
        msg['data']['pageSize']  = curriculumvitaeforecast.page(curriculumvitaeforecast,curriculumvitaeforecast, req_dict)

        return JsonResponse(msg, encoder=CustomJsonEncoder)

#分类列表
def curriculumvitaeforecast_lists(request):
    if request.method in ["POST", "GET"]:
        msg = {"code": normal_code, "msg": mes.normal_code,  "data":[]}
        msg['data'],_,_,_,_  = curriculumvitaeforecast.page(curriculumvitaeforecast, curriculumvitaeforecast, {})
        return JsonResponse(msg, encoder=CustomJsonEncoder)

def curriculumvitaeforecast_query(request):
    '''
    '''
    if request.method in ["POST", "GET"]:
        msg = {"code": normal_code, "msg": mes.normal_code, "data": {}}
        try:
            query_result = curriculumvitaeforecast.objects.filter(**request.session.get("req_dict")).values()
            msg['data'] = query_result[0]
        except Exception as e:

            msg['code'] = crud_error_code
            msg['msg'] = f"发生错误：{e}"
        return JsonResponse(msg, encoder=CustomJsonEncoder)

def curriculumvitaeforecast_list(request):
    '''
    前台分页
    '''
    if request.method in ["POST", "GET"]:
        msg = {"code": normal_code, "msg": mes.normal_code,  "data":{"currPage":1,"totalPage":1,"total":1,"pageSize":10,"list":[]}}
        req_dict = request.session.get("req_dict")
        #获取全部列名
        columns=  curriculumvitaeforecast.getallcolumn( curriculumvitaeforecast, curriculumvitaeforecast)
        if "vipread" in req_dict and "vipread" not in columns:
          del req_dict["vipread"]
        #表属性[foreEndList]前台list:和后台默认的list列表页相似,只是摆在前台,否:指没有此页,是:表示有此页(不需要登陆即可查看),前要登:表示有此页且需要登陆后才能查看
        try:
            __foreEndList__=curriculumvitaeforecast.__foreEndList__
        except:
            __foreEndList__=None
        try:
            __foreEndListAuth__=curriculumvitaeforecast.__foreEndListAuth__
        except:
            __foreEndListAuth__=None

        #authSeparate
        try:
            __authSeparate__=curriculumvitaeforecast.__authSeparate__
        except:
            __authSeparate__=None

        if __foreEndListAuth__ =="是" and __authSeparate__=="是":
            tablename=request.session.get("tablename")
            if tablename!="users" and request.session.get("params") is not None:
                req_dict['userid']=request.session.get("params").get("id")

        tablename = request.session.get("tablename")
        if tablename == "users" and req_dict.get("userid") != None:#判断是否存在userid列名
            del req_dict["userid"]
        else:
            __isAdmin__ = None

            allModels = apps.get_app_config('main').get_models()
            for m in allModels:
                if m.__tablename__==tablename:

                    try:
                        __isAdmin__ = m.__isAdmin__
                    except:
                        __isAdmin__ = None
                    break

            if __isAdmin__ == "是":
                if req_dict.get("userid"):
                    # del req_dict["userid"]
                    pass
            else:
                #非管理员权限的表,判断当前表字段名是否有userid
                if "userid" in columns:
                    try:
                        pass
                    except:
                        pass
        #当列属性authTable有值(某个用户表)[该列的列名必须和该用户表的登陆字段名一致]，则对应的表有个隐藏属性authTable为”是”，那么该用户查看该表信息时，只能查看自己的
        try:
            __authTables__=curriculumvitaeforecast.__authTables__
        except:
            __authTables__=None

        if __authTables__!=None and  __authTables__!={} and __foreEndListAuth__=="是":
            for authColumn,authTable in __authTables__.items():
                if authTable==tablename:
                    try:
                        del req_dict['userid']
                    except:
                        pass
                    params = request.session.get("params")
                    req_dict[authColumn]=params.get(authColumn)
                    username=params.get(authColumn)
                    break
        
        if curriculumvitaeforecast.__tablename__[:7]=="discuss":
            try:
                del req_dict['userid']
            except:
                pass


        q = Q()
        msg['data']['list'], msg['data']['currPage'], msg['data']['totalPage'], msg['data']['total'], \
        msg['data']['pageSize']  = curriculumvitaeforecast.page(curriculumvitaeforecast, curriculumvitaeforecast, req_dict, request, q)
        return JsonResponse(msg, encoder=CustomJsonEncoder)

def curriculumvitaeforecast_save(request):
    '''
    后台新增
    '''
    request.funname = __name__+"."+curriculumvitaeforecast_save.__name__
    request.operation = "新增职位预测"
    if request.method in ["POST", "GET"]:
        msg = {"code": normal_code, "msg": mes.normal_code, "data": {}}
        req_dict = request.session.get("req_dict")
        if 'clicktime' in req_dict.keys():
            del req_dict['clicktime']
        tablename=request.session.get("tablename")
        __isAdmin__ = None
        allModels = apps.get_app_config('main').get_models()
        for m in allModels:
            if m.__tablename__==tablename:

                try:
                    __isAdmin__ = m.__isAdmin__
                except:
                    __isAdmin__ = None
                break

        #获取全部列名
        columns=  curriculumvitaeforecast.getallcolumn( curriculumvitaeforecast, curriculumvitaeforecast)
        if tablename!='users' and req_dict.get("userid")==None and 'userid' in columns  and __isAdmin__!='是':
            params=request.session.get("params")
            req_dict['userid']=params.get('id')


        if 'addtime' in req_dict.keys():
            del req_dict['addtime']

        idOrErr= curriculumvitaeforecast.createbyreq(curriculumvitaeforecast,curriculumvitaeforecast, req_dict)
        if idOrErr is Exception:
            msg['code'] = crud_error_code
            msg['msg'] = idOrErr
        else:
            msg['data'] = idOrErr

        return JsonResponse(msg, encoder=CustomJsonEncoder)

def curriculumvitaeforecast_add(request):
    '''
    前台新增
    '''
    request.funname = __name__+"."+curriculumvitaeforecast_add.__name__
    request.operation = "新增职位预测"
    if request.method in ["POST", "GET"]:
        msg = {"code": normal_code, "msg": mes.normal_code, "data": {}}
        req_dict = request.session.get("req_dict")
        tablename=request.session.get("tablename")

        #获取全部列名
        columns=  curriculumvitaeforecast.getallcolumn( curriculumvitaeforecast, curriculumvitaeforecast)
        try:
            __authSeparate__=curriculumvitaeforecast.__authSeparate__
        except:
            __authSeparate__=None

        if __authSeparate__=="是":
            tablename=request.session.get("tablename")
            if tablename!="users" and 'userid' in columns:
                try:
                    req_dict['userid']=request.session.get("params").get("id")
                except:
                    pass

        try:
            __foreEndListAuth__=curriculumvitaeforecast.__foreEndListAuth__
        except:
            __foreEndListAuth__=None

        if __foreEndListAuth__ and __foreEndListAuth__!="否":
            tablename=request.session.get("tablename")
            if tablename!="users":
                req_dict['userid']=request.session.get("params").get("id")


        if 'addtime' in req_dict.keys():
            del req_dict['addtime']
        error= curriculumvitaeforecast.createbyreq(curriculumvitaeforecast,curriculumvitaeforecast, req_dict)
        if error is Exception:
            msg['code'] = crud_error_code
            msg['msg'] = error
        else:
            msg['data'] = error
        return JsonResponse(msg, encoder=CustomJsonEncoder)

def curriculumvitaeforecast_thumbsup(request,id_):
    '''
     点赞：表属性thumbsUp[是/否]，刷表新增thumbsupnum赞和crazilynum踩字段，
    '''
    if request.method in ["POST", "GET"]:
        msg = {"code": normal_code, "msg": mes.normal_code, "data": {}}
        req_dict = request.session.get("req_dict")
        id_=int(id_)
        type_=int(req_dict.get("type",0))
        rets=curriculumvitaeforecast.getbyid(curriculumvitaeforecast,curriculumvitaeforecast,id_)

        update_dict={
        "id":id_,
        }
        if type_==1:#赞
            update_dict["thumbsupnum"]=int(rets[0].get('thumbsupnum'))+1
        elif type_==2:#踩
            update_dict["crazilynum"]=int(rets[0].get('crazilynum'))+1
        error = curriculumvitaeforecast.updatebyparams(curriculumvitaeforecast,curriculumvitaeforecast, update_dict)
        if error!=None:
            msg['code'] = crud_error_code
            msg['msg'] = error
        return JsonResponse(msg, encoder=CustomJsonEncoder)


def curriculumvitaeforecast_info(request,id_):
    '''
    '''
    if request.method in ["POST", "GET"]:
        msg = {"code": normal_code, "msg": mes.normal_code, "data": {}}

        data = curriculumvitaeforecast.getbyid(curriculumvitaeforecast,curriculumvitaeforecast, int(id_))
        if len(data)>0:
            msg['data']=data[0]
            if msg['data'].__contains__("reversetime"):
                if isinstance(msg['data']['reversetime'], datetime.datetime):
                    msg['data']['reversetime'] = msg['data']['reversetime'].strftime("%Y-%m-%d %H:%M:%S")
                else:
                    if msg['data']['reversetime'] != None:
                        reversetime = datetime.datetime.strptime(msg['data']['reversetime'], '%Y-%m-%d %H:%M:%S')
                        msg['data']['reversetime'] = reversetime.strftime("%Y-%m-%d %H:%M:%S")

        #浏览点击次数
        try:
            __browseClick__= curriculumvitaeforecast.__browseClick__
        except:
            __browseClick__=None

        if __browseClick__=="是"  and  "clicknum"  in curriculumvitaeforecast.getallcolumn(curriculumvitaeforecast,curriculumvitaeforecast):
            try:
                clicknum=int(data[0].get("clicknum",0))+1
            except:
                clicknum=0+1
            click_dict={"id":int(id_),"clicknum":clicknum,"clicktime":datetime.datetime.now()}
            ret=curriculumvitaeforecast.updatebyparams(curriculumvitaeforecast,curriculumvitaeforecast,click_dict)
            if ret!=None:
                msg['code'] = crud_error_code
                msg['msg'] = ret
        return JsonResponse(msg, encoder=CustomJsonEncoder)

def curriculumvitaeforecast_detail(request,id_):
    '''
    '''
    if request.method in ["POST", "GET"]:
        msg = {"code": normal_code, "msg": mes.normal_code, "data": {}}

        data =curriculumvitaeforecast.getbyid(curriculumvitaeforecast,curriculumvitaeforecast, int(id_))
        if len(data)>0:
            msg['data']=data[0]
            if msg['data'].__contains__("reversetime"):
                if isinstance(msg['data']['reversetime'], datetime.datetime):
                    msg['data']['reversetime'] = msg['data']['reversetime'].strftime("%Y-%m-%d %H:%M:%S")
                else:
                    if msg['data']['reversetime'] != None:
                        reversetime = datetime.datetime.strptime(msg['data']['reversetime'], '%Y-%m-%d %H:%M:%S')
                        msg['data']['reversetime'] = reversetime.strftime("%Y-%m-%d %H:%M:%S")

        #浏览点击次数
        try:
            __browseClick__= curriculumvitaeforecast.__browseClick__
        except:
            __browseClick__=None

        if __browseClick__=="是"   and  "clicknum"  in curriculumvitaeforecast.getallcolumn(curriculumvitaeforecast,curriculumvitaeforecast):
            try:
                clicknum=int(data[0].get("clicknum",0))+1
            except:
                clicknum=0+1
            click_dict={"id":int(id_),"clicknum":clicknum,"clicktime":datetime.datetime.now()}

            ret=curriculumvitaeforecast.updatebyparams(curriculumvitaeforecast,curriculumvitaeforecast,click_dict)
            if ret!=None:
                msg['code'] = crud_error_code
                msg['msg'] = ret
        return JsonResponse(msg, encoder=CustomJsonEncoder)

def curriculumvitaeforecast_update(request):
    '''
    '''
    request.funname = __name__+"."+curriculumvitaeforecast_update.__name__
    request.operation = "更新职位预测"
    if request.method in ["POST", "GET"]:
        msg = {"code": normal_code, "msg": mes.normal_code, "data": {}}
        req_dict = request.session.get("req_dict")
        if 'clicktime' in req_dict.keys() and req_dict['clicktime']=="None":
            del req_dict['clicktime']
        if req_dict.get("mima") and "mima" not in curriculumvitaeforecast.getallcolumn(curriculumvitaeforecast,curriculumvitaeforecast) :
            del req_dict["mima"]
        if req_dict.get("password") and "password" not in curriculumvitaeforecast.getallcolumn(curriculumvitaeforecast,curriculumvitaeforecast) :
            del req_dict["password"]
        try:
            del req_dict["clicknum"]
        except:
            pass


        error = curriculumvitaeforecast.updatebyparams(curriculumvitaeforecast, curriculumvitaeforecast, req_dict)
        if error!=None:
            msg['code'] = crud_error_code
            msg['msg'] = error

        return JsonResponse(msg)


def curriculumvitaeforecast_delete(request):
    '''
    批量删除
    '''
    request.funname = __name__+"."+curriculumvitaeforecast_delete.__name__
    request.operation = "删除职位预测"
    if request.method in ["POST", "GET"]:
        msg = {"code": normal_code, "msg": mes.normal_code, "data": {}}
        req_dict = request.session.get("req_dict")

        error=curriculumvitaeforecast.deletes(curriculumvitaeforecast,
            curriculumvitaeforecast,
             req_dict.get("ids")
        )
        if error!=None:
            msg['code'] = crud_error_code
            msg['msg'] = error
        return JsonResponse(msg)


def curriculumvitaeforecast_vote(request,id_):
    '''
    浏览点击次数（表属性[browseClick:是/否]，点击字段（clicknum），调用info/detail接口的时候后端自动+1）、投票功能（表属性[vote:是/否]，投票字段（votenum）,调用vote接口后端votenum+1）
统计商品或新闻的点击次数；提供新闻的投票功能
    '''
    if request.method in ["POST", "GET"]:
        msg = {"code": normal_code, "msg": mes.normal_code}


        data= curriculumvitaeforecast.getbyid(curriculumvitaeforecast, curriculumvitaeforecast, int(id_))
        for i in data:
            votenum=i.get('votenum')
            if votenum!=None:
                params={"id":int(id_),"votenum":votenum+1}
                error=curriculumvitaeforecast.updatebyparams(curriculumvitaeforecast,curriculumvitaeforecast,params)
                if error!=None:
                    msg['code'] = crud_error_code
                    msg['msg'] = error
        return JsonResponse(msg)

def curriculumvitaeforecast_importExcel(request):
    request.funname = __name__+"."+curriculumvitaeforecast_importExcel.__name__
    request.operation = "导入职位预测"
    if request.method in ["POST", "GET"]:
        msg = {"code": normal_code, "msg": "成功", "data": {}}

        excel_file = request.FILES.get("file", "")
        if excel_file.size > 100 * 1024 * 1024:  # 限制为 100MB
            msg['code'] = 400
            msg["msg"] = '文件大小不能超过100MB'
            return JsonResponse(msg)

        file_type = excel_file.name.split('.')[1]
        
        if file_type in ['xlsx', 'xls']:
            data = xlrd.open_workbook(filename=None, file_contents=excel_file.read())
            table = data.sheets()[0]
            rows = table.nrows
            
            try:
                for row in range(1, rows):
                    row_values = table.row_values(row)
                    req_dict = {}
                    curriculumvitaeforecast.createbyreq(curriculumvitaeforecast, curriculumvitaeforecast, req_dict)
                    
            except:
                pass
                
        else:
            msg = {
                "msg": "文件类型错误",
                "code": 500
            }
                
        return JsonResponse(msg)

def curriculumvitaeforecast_autoSort2(request):
    return JsonResponse({"code": 0, "msg": '',  "data":{}})

系统测试

首先，我们需要进行功能测试，以确保系统所有功能可以正常运行。其次，对系统进行兼容性测试，测试不同浏览器和操作系统下的兼容性，以确保用户可以在不同的平台上正常使用系统。然后，进行性能测试，测试系统的响应时间、并发用户数量等，以确保系统的性能足够好，可以支持大量用户同时使用。接下来，进行安全测试，测试系统是否存在安全漏洞，确保用户数据的安全和隐私受到保护。还需要进行用户体验测试，测试用户在使用系统时的体验，包括用户界面的友好度、操作流程的简单性和直观性等。此外，进行异常测试，测试系统在不同异常情况下的反应能力和容错能力，例如网络中断、服务器宕机等。同时，进行集成测试，测试系统的不同模块之间的集成是否正常，最后，进行回归测试，确保已有功能不受影响，新功能可以正常使用。

结论

在本文的阐述中，我们详细介绍了一种依托django框架构建的就业岗位推荐系统的设计思路。该设计方案旨在高效整合与展示招聘信息、简历投递、面试安排、面试信息、面试结果，同时集成了用户注册与登录、评论、收藏等核心功能，显著提升了用户的整体使用体验。通过这一创新方法，我们不仅解决了信息展示与用户交互的基本需求，还进一步探索了该设计的潜在优势与存在的不足，并展望了未来的发展方向。