【python爬虫】设计自己的爬虫 2. 数据保存封装 mongodb，mysql和elasticsearch

loyd32023-12-07 12:40

mongodb, mysql和elasticsearch 功能较相似，所以打算用一套接口将它们封装起来

基类StorageBase

如下：

csharp 复制代码 
class StorageBase:
    def __init__(self, host=None, port=None, database=None, table=None, location=None, account=None, password=None,
                 url=None):
        self.host = host
        self.port = port
        self.database = database
        self.table = table
        self.location = location
        self.account = account
        self.password = password
        self.url = url

    def build_connect(self):
        raise NotImplementedError

    # 增
    def add(self, table_collection_index, data, id=None):
        raise NotImplementedError

    # 删
    def delete(self, table_collection_index, condition=None, data=None, id=None):
        raise NotImplementedError

    # 改
    def update(self, table_collection_index, data=None, condition=None, id=None, update_condition=None):
        raise NotImplementedError

    # 查
    def search(self, table_collection_index, condition=None):
        raise NotImplementedError

    # 没有就新增，有就更新
    def add_or_update(self, table_collection_index, data, condition=None):
        raise NotImplementedError

封装mongodb

csharp 复制代码 
class MongodbStore(StorageBase):
    def __init__(self, host=MONGODB_CONNECTION_HOST, port=MONGODB_CONNECTION_PORT, database=MONGODB_DATABASE,
                 account=MONGODB_DATABASE_USER, password=MONGODB_DATABASE_PASS):
        self.client = None
        self.db = None

        StorageBase.__init__(self, host=host, port=port,
                             database=database, account=account, password=password)

    def build_connect(self):
        try:
            connection = f"mongodb://{self.account}:{self.password}@{self.host}:{self.port}/{self.database}"
            self.client = pymongo.MongoClient(connection)
            self.db = self.client[self.database]

        except Exception as e:
            print("失败：{0}".format(e))
            self.db = None
        else:
            print(f"连接成功")

        return self.db

    # 增
    # data要是列表形式，否则报错
    # 添加单个可以是 单个元素的数组
    def add(self, table_collection_index, data, id=None):
        try:
            result = self.db[table_collection_index].insert_many(data)
            print(f"新增成功")
        except Exception as e:
            print("失败：{0}".format(e))
            result = None
        else:
            print(f"新增成功")

        return result

    def add_one(self, table_collection_index, data):
        try:
            result = self.db[table_collection_index].insert_one(data)

        except Exception as e:
            print("失败：{0}".format(e))
            result = None
        else:
            print(f"新增成功")
        return result

    # 没有就新增，有就更新
    def add_or_update(self, table_collection_index, data, condition=None):
        existing_doc = self.search_one(table_collection_index, conditions=None)

        if existing_doc:
            # 如果文档存在，则更新

            self.update_one(table_collection_index, condition, {
                "key": "set",
                "value": data
            })
            print('数据已更新。')
        else:
            # 如果文档不存在，则插入新文档
            self.add_one(table_collection_index, data)
            print('新数据已插入。')

    # 删
    def delete(self, table_collection_index, condition=None, data=None, id=None):
        try:
            result = self.db[table_collection_index].delete_many(parse_mongodb_condition(data))

        except Exception as e:
            print("失败：{0}".format(e))
            result = None
        else:
            print(f"删除成功")
        return result

    def delete_one(self, table_collection_index, data):
        try:
            result = self.db[table_collection_index].delete_one(parse_mongodb_condition(data))

        except Exception as e:
            print("失败：{0}".format(e))
            result = None
        else:
            print(f"删除成功")
        return result

    # 改
    # search_condition 指定查询条件
    # update_condition 指定更新条件

    def update(self, table_collection_index, data=None, condition=None, id=None, update_condition=None):
        try:
            result = self.db[table_collection_index].update_many(parse_mongodb_condition(condition),
                                                                 parse_mongodb_condition(update_condition))
        except Exception as e:
            logging.error(f"失败：{e}")
            result = None
        else:
            print(
                f"匹配的数据{result.matched_count if result else 0}条，影响的数据{result.modified_count if result else 0}条")

        return result

    # 改单个
    def update_one(self, table_collection_index=None, search_condition=None, update_condition=None):

        try:
            result = self.db[table_collection_index].update_one(parse_mongodb_condition(search_condition),
                                                                parse_mongodb_condition(update_condition))

        except Exception as e:
            print("失败：{0}".format(e))
            result = None
        else:
            print(
                f"匹配的数据{result.matched_count if result else 0}条，影响的数据{result.modified_count if result else 0}条")

        return result

    # 计数
    def count(self, table_collection_index, conditions):

        try:
            result = self.db[table_collection_index].count_documents(parse_mongodb_condition(conditions))

        except Exception as e:
            print("失败：{0}".format(e))
            result = None
        else:
            print(f"共有{result.matched_count if result else 0}条数据")

        return result

    # 查
    def search(self, table_collection_index, conditions=None):

        try:
            results = self.db[table_collection_index].find(parse_mongodb_condition(conditions) if conditions else {})

        except Exception as e:
            print("失败：{0}".format(e))
            results = None

        return results

    def search_one(self, table_collection_index, conditions=None):

        try:
            result = self.db[table_collection_index].find_one(parse_mongodb_condition(conditions) if conditions else {})
            print(f"查询到的内容：{result}")
        except Exception as e:
            print("失败：{0}".format(e))
            result = None

        return result

    # 排序
    def sort(self, table_collection_index, sort_key, conditions=None, skip_num=None, limit_num=None,
             sort_type=pymongo.ASCENDING):

        try:
            query = self.db[table_collection_index].find(
                parse_mongodb_condition(conditions) if conditions else {}).sort(sort_key,
                                                                                sort_type)
            if skip_num and limit_num:
                results = query.skip(skip_num).limit(limit_num)
            elif skip_num:
                results = query.skip(skip_num)
            elif limit_num:
                results = query.limit(limit_num)
            else:
                results = query

        except Exception as e:
            print("失败：{0}".format(e))
            result = None

        return results

# 测试代码
if __name__ == "__main__":
    # 建立连接
    mongodb_connect = MongodbStore()
    mongodb_connect.build_connect()

    # student1 = {
    #     "id": 1,
    #     "name": "Jordan3",
    #     "age": 23,
    #     "gender": "male"
    # }
    #
    # student2 = {
    #     "name": "Mike",
    #     "age": 21,
    #     "gender": "male"
    # }
    # mongodb_connect.add("students", [student1])

    # result = mongodb_connect.delete("students", {"name": "Mike"})
    # result = mongodb_connect.update("students", {"age": {"#gt": 23}}, {"$inc": {"age": 1}})
    # print(result.matched_count, result.modified_count)

    # 自定义分隔符号
    # condition = parse_mongodb_condition("age*>*20;name*regex*'^J.*'", ";", "*")

    condition_list = [
        {
            "key": "age",
            "condition": ">",
            "value": "20"
        },
        {
            "key": "name",
            "condition": "regex",
            "value": "'^J.*'"
        },
    ]

    # 不设置condition的话表示等于
    # search_list = [
    #     {
    #         "key": "age",
    #         "value": "20"
    #     },
    # ]

    # 条件表达式解析
    mongodb_connect.search("students", condition_list)
    mongodb_connect.sort("students", 'age', condition_list, None, None, pymongo.DESCENDING)

然后用的字典表如下

csharp 复制代码 
MONGODB_CONDITION_DICTIONARY = {
    '<': '$lt',
    '>': '$gt',
    '<=': '$lte',
    '>=': '$gte',
    '!=': '$ne',
    'in': '$in',
    'notin': '$nin',
    'regex': '$regex',
    'exists': '$exists',
    'type': '$type',
    'mod': '$mod',
    'inc': '$inc',
    'search': '$search',
    'text': '$text',
    'set': '$set',
}

这里要注意的是考虑到mongodb搜索条件的语法有些复杂，因此对其进行了一些简化，简化的思路是把条件转化成简单的键值对对象，下面看代码

csharp 复制代码 
# 优化该方法的思路
# 1. 使用列表推导式替代了外部循环。
# 2. 使用 str.join() 方法替代了内部循环中的字符串连接操作，这样可以减少不必要的字符串创建和连接操作，提高代码效率。
# 3. 使用 dict.values() 方法直接获取字典中的所有值，避免了在内部循环中通过键获取值的操作。
# 将条件对象数组转化为条件字符串
def turn_list_to_condition_str(list, split_cond=',', split_key=':'):
    conditions_list = [
        split_key.join([str(value) for value in search.values()])
        for search in list
    ]
    return split_cond.join(conditions_list)



# 该方法将条件字符串转换为条件对象
def parse_mongodb_condition(conditions, split_cond=',', split_key=':'):
    # 传入字符串规则
    # 例子："age:>:20,name:regex:'^J.*'"
    # ,分隔多个条件
    # age:>:20  age是字段 >是条件 20是值 中间用:分隔
    # 分隔符默认是,和: 也可以自定义
    # 分割字符串

    pairs = turn_list_to_condition_str(conditions).split(split_cond)

    # 构建字典
    condition_dict = {}

    # 避免了在每次循环中都多次调用 pair.split(split_key)
    for pair in pairs:
        split_pair = pair.split(split_key)
        key = replace_chars_by_dit(split_pair[0], MONGODB_CONDITION_DICTIONARY)

        if len(split_pair) == 3:
            cond = replace_chars_by_dit(split_pair[1], MONGODB_CONDITION_DICTIONARY)
            condition_dict[key] = {cond: eval(split_pair[2])}

        elif len(split_pair) == 2:
            condition_dict[key] = eval(split_pair[1])

    # print(f'解析后的条件表达式是{condition_dict}')
    return condition_dict

# 测试代码
if __name__ == "__main__":
    # condition_str = "age:20,name:regex:'^J.*'"
    # print(parse_mongodb_condition(condition_str))

    search_list = [
        {
            "key": "age",
            "condition": ">",
            "value": "20"
        },
        {
            "key": "name",
            "condition": "regex",
            # 注意字符串的值要帶单引号''
            "value": "'^J.*'"
        },
    ]

    search_list = {
        "key": "set",
        "value": "20"
    },
    print(parse_mongodb_condition(search_list))

封装 Elasticsearch

csharp 复制代码 
# 可以和关系数据库的概念对比理解
# Relational DB -> Databases -> Tables -> Rows -> Columns
# Elasticsearch -> Indices -> Types -> Documents -> Fields
class ElasticsearchStore(StorageBase):
    def __init__(self, host=ELASTICSEARCH_HOST, port=ELASTICSEARCH_PORT,
                 account=ELASTICSEARCH_USERNAME, password=ELASTICSEARCH_PASSWORD,
                 verify_certs=ELASTICSEARCH_VERIFY_CERTS):

        self.es = None
        self.verify_certs = verify_certs

        StorageBase.__init__(self, host=host, port=port, account=account, password=password)

    def build_connect(self, default=True):
        try:
            if default:
                self.es = Elasticsearch()
            else:
                url = f"https://[{self.account}:{self.password}@]{self.host}:{self.port}"
                self.es = Elasticsearch(url, verify_certs=self.verify_certs)

        except Exception as e:
            print("失败：{0}".format(e))
            self.es = None
        else:
            print(f"连接成功")

        return self.es

    # 增
    def add(self, table_collection_index, data, id=None):
        try:
            result = self.es.index(index=table_collection_index, body=data, id=id)
            print(f"新增成功")
        except Exception as e:
            print("失败：{0}".format(e))
            result = None
        else:
            print(f"新增成功")

        return result

    # 删
    def delete(self, table_collection_index, condition=None, data=None, id=None):
        try:
            result = self.es.delete(index=table_collection_index, id=id, ignore=[400, 404])
            print(f"删除成功")
        except Exception as e:
            print("失败：{0}".format(e))
            result = None
        else:
            print(f"删除成功")

        return result

    # 改
    def update(self, table_collection_index, data=None, condition=None, id=None, update_condition=None):
        try:
            result = self.es.update(index=table_collection_index, body=data, id=id, ignore=[400, 404])
        except Exception as e:
            logging.error(f"失败：{e}")
            result = None
        else:
            print(f"更新成功")

        return result

    # 获取
    def get(self, table_collection_index, id):
        try:
            result = self.es.get(index=table_collection_index, id=id, ignore=[400, 404])
        except Exception as e:
            logging.error(f"失败：{e}")
            result = None
        else:
            print(f"获取成功{result}")

        return result

    # 查
    # dsl = {
    #     'query': {
    #         'match': {
    #             'title': '高考 圆梦'
    #         }
    #     }
    # }
    def search(self, table_collection_index, condition=None):
        try:
            results = self.es.search(index=table_collection_index, body=condition)
        except Exception as e:
            logging.error(f"失败：{e}")
            results = None
        else:
            print(f"搜索成功{results}")

        return results


# 测试代码
if __name__ == "__main__":
    # 建立连接
    elasticsearch_store = ElasticsearchStore()
    elasticsearch_store.build_connect()

    # doc = {
    #     'author': 'kimchy',
    #     'text': 'Elasticsearch: cool. bonsai cool.',
    #     'timestamp': datetime.now(),
    # }
    # elasticsearch_connect.add('test-index', doc, 1)
    # elasticsearch_connect.get('test-index',1)
    doc1 = {
        'author': 'kimchy',
        'text': 'test',
        'timestamp': datetime.now(),
    }
    elasticsearch_store.update('test-index', doc1, 1)
    # elasticsearch_store.delete('test-index', 1)
    elasticsearch_store.search('test-index', {"query": {"match_all": {}}})

封装Mysql

csharp 复制代码 
class MysqlStore(StorageBase):
    def __init__(self, host=MYSQL_HOST, port=MYSQL_PORT,
                 account=MYSQL_USER, password=MYSQL_PASSWORD, database=MYSQL_DATABASE):
        self.db = None
        self.cursor = None
        StorageBase.__init__(self, host=host, port=port, account=account, password=password, database=database)

    def build_connect(self) -> pymysql.cursors.Cursor:
        """
        建立数据库连接。

        Returns:
            pymysql.cursors.Cursor: 数据库游标对象，用于执行 SQL 语句。
        """
        try:
            self.db = pymysql.connect(host=self.host, user=self.account, password=self.password, port=self.port,
                                      database=self.database)
            self.cursor = self.db.cursor()

        except Exception as e:
            print(f"连接失败：{e}")
            self.db = None
            self.cursor = None
        else:
            print("连接成功")

        return self.cursor

    # 增
    # table 表
    # data 新增数据 键值对对象
    def add(self, table_collection_index, data, id=None):
        # data.keys()返回的是键的数组
        keys = ', '.join(data.keys())
        # 下面这段是构造多个%s最为占位符，有几个字段就构造几个
        values = ', '.join(['%s'] * len(data))
        # 要执行的sql语句
        sql = 'INSERT INTO {table}({keys}) VALUES ({values})'.format(table=table_collection_index, keys=keys, values=values)
        try:
            self.cursor.execute(sql, tuple(data.values()))
            self.db.commit()
            print(f"新增成功")
        except Exception as e:
            print("失败：{0}".format(e))
            self.db.rollback()
        finally:
            print(f"{sql}")

    # 没有新增，有就更新
    # table 表
    # data 新增数据 键值对对象
    def add_or_update(self, table_collection_index, data, condition=None):
        # data.keys()返回的是键的数组
        keys = ', '.join(data.keys())
        # 下面这段是构造多个%s最为占位符，有几个字段就构造几个
        values = ', '.join(['%s'] * len(data))
        # 要执行的sql语句
        # 如果主键已经存在，就执行更新操作
        sql = 'INSERT INTO {table}({keys}) VALUES ({values}) ON DUPLICATE KEY UPDATE '.format(table=table_collection_index, keys=keys,
                                                                                              values=values)
        update = ', '.join(["{key} = %s".format(key=key) for key in data])
        sql += update

        try:
            self.cursor.execute(sql, tuple(data.values()) * 2)
            self.db.commit()
            print(f"新增成功")
        except Exception as e:
            print("失败：{0}".format(e))
            self.db.rollback()
        finally:
            print(f"{sql}")

    # 删
    # table 表名
    # condition 删除条件
    def delete(self, table_collection_index, condition=None, data=None, id=None):
        sql = 'DELETE FROM  {table} WHERE {condition}'.format(table=table, condition=condition)
        try:
            self.cursor.execute(sql)
            self.db.commit()
            print(f"删除成功")
        except Exception as e:
            print("失败：{0}".format(e))
            self.db.rollback()
        finally:
            print(f"{sql}")

    # 改
    # table 表名
    # data 数据
    # condition 条件
    def update(self, table_collection_index, data=None, condition=None, id=None, update_condition=None):
        # data.keys()返回的是键的数组
        keys = ', '.join(data.keys())
        # 下面这段是构造多个%s最为占位符，有几个字段就构造几个
        values = ', '.join(['%s'] * len(data))
        # 要跟新的数据
        update = ','.join(["{key} = %s".format(key=key) for key in data])
        # 要执行的sql语句
        sql = 'UPDATE {table} SET {update} WHERE {condition}'.format(table=table_collection_index, update=update, condition=condition)

        try:
            self.cursor.execute(sql, tuple(data.values()))
            self.db.commit()
            print(f"更新成功")
        except Exception as e:
            print("失败：{0}".format(e))
            self.db.rollback()
        finally:
            print(f"{sql}")

    # 查
    def search(self, table_collection_index, condition=None):
        # 要执行的sql语句
        sql = 'SELECT * FROM {table} WHERE {condition}'.format(table=table_collection_index, condition=condition)

        try:
            self.cursor.execute(sql)
            # fetchall获取结果的所有数据
            results = self.cursor.fetchall()
            # fetchall得到的是二重元祖，其中每个元素都是一条记录
            # 要注意的是fetch的内部实现中有一个偏移指针，用来指向查询结果，偏移指针最开始指向第一条数据，取了一次数据后，指针偏移到下一条数据，
            # fetchone被调用后，结果的偏移指针会指向下一条数据，fetchall方法返回的是从偏移指针指向的数据一直到结束的所有数据，所有fetchall获取的数据会少一条

            for row in results:
                print(row)

        except Exception as e:
            print("失败：{0}".format(e))

# 测试代码
if __name__ == "__main__":
    # 建立连接
    mysql_connect = MysqlStore()
    mysql_connect.build_connect()
    data = {
        "name": "Bob",
        "age": 22
    }
    table = "students"
    mysql_connect.search(table, 'age>=20')

最后要注意的是

数据库连接的相关信息都放在统一的文件里并且设置为默认的值，也可以初始化的时候传入相应的值

相关推荐
测开小菜鸟25 分钟前
使用python向钉钉群聊发送消息
java·python·钉钉
萧鼎2 小时前
Python并发编程库：Asyncio的异步编程实战
开发语言·数据库·python·异步
学地理的小胖砸2 小时前
【一些关于Python的信息和帮助】
开发语言·python
疯一样的码农2 小时前
Python 继承、多态、封装、抽象
开发语言·python
全栈开发圈2 小时前
新书速览|Java网络爬虫精解与实践
java·开发语言·爬虫
小白学大数据2 小时前
JavaScript重定向对网络爬虫的影响及处理
开发语言·javascript·数据库·爬虫
Python大数据分析@2 小时前
python操作CSV和excel,如何来做?
开发语言·python·excel
黑叶白树2 小时前
简单的签到程序 python笔记
笔记·python
Shy9604183 小时前
Bert完形填空
python·深度学习·bert
上海_彭彭3 小时前
【提效工具开发】Python功能模块执行和 SQL 执行 需求整理
开发语言·python·sql·测试工具·element
热门推荐
01如何才能让手机厂商主动拥抱华为，接入鸿蒙系统？02【HarmonyOS】HUAWEI DevEco Studio 下载地址汇总03组基轨迹建模 GBTM的介绍与实现（Stata 或 R）04基于YOLOv10深度学习的CT扫描图像肾结石智能检测系统【python源码+Pyqt5界面+数据集+训练代码】深度学习实战、目标检测05(欧拉)openEuler系统添加网卡文件配置流程、(欧拉)openEuler系统手动配置ipv6地址流程、(欧拉)openEuler系统网络管理说明06【经验分享】Ubuntu22.04安装微信(linux官方版)07【TC3xx芯片】TC3xx芯片电源管理系统PMS详解08全面解析：构建基于深度学习的安全帽检测系统（UI界面+YOLO代码+数据集）09RAG 实践- Ollama+RagFlow 部署本地知识库10你还在傻傻的打开页面输用户名和密码？来我教你实现自动化