模仿学习同事的代码来写的,主要是搞懂python中如何来组织包,如何调用包,如何读取配置文件,连接数据库,设置路由,路由分组。(注:使用的是python3.6)
整体目录设计如下:
根据调用层级从上往下来说:
首先项目根目录下的main.py是整个程序的入口,主要作用启动http服务器,调用分组路由。
main.py
import bottle from confg.conf import CONF from api.user import User db_url = CONF.db.url default_app = bottle.default_app() #相当于分组路由 default_app.mount(\"/user\", User(db_url, \"\").app) app = default_app if __name__ == \'__main__\': bottle.run(app=app, host=\"localhost\", port=\"8000\")
接着是controller层,就是api目录。api目录包括service文件夹和api下的文件。(注:一般来说controller层,service层是同级的,本项目其实api下的非service文件都是属于controller层,所以还是同一层的,因为要遵守调用顺序,不然可能会发生循环调用)。
/api/user.py文件
import logging from bottle import request #db数据库引擎 from common.base import DB #调用service层 from api.service.user import UserService logger = logging.getLogger(\"arview\") class User(DB, UserService): def __init__(self, *args, **kwargs): print(\">>> User init begin\") logging.debug(\'>>> User init begin\') super(User, self).__init__(*args, **kwargs) self.dispatch() logger.debug(\'>>> User init end\') def create(self, db=None): create_body = request.json create_data = self.create_user(create_body, db) return create_data def delete(self, db=None): delete_body = request.json delete_data = self.delete_user(delete_body, db) return delete_data def list(self, db=None): list_data = self.list_user(db) return list_data #相当于分组路由 def dispatch(self): self.app.route(\'/listUser\', method=\'post\')(self.list) self.app.route(\'/createUser\', method=\'post\')(self.create) self.app.route(\'/deleteUser\', method=\'post\')(self.delete)
/service/user.py
import time #model层 from db.models.user import UserModel class UserService(object): def list_user(self, db): user_info_list = db.query(UserModel).all() for item in user_info_list: print(item.username) return user_info_list def create_user(self, create_body, db): user_model = UserModel( username=create_body.get(\"username\"), password=create_body.get(\"password\"), role=create_body.get(\"role\"), create_time=time.time() ) db.add(user_model) db.commit() return \"success\" def delete_user(self, delete_body, db): db.query(UserModel).filter(UserModel.id == (delete_body[\"id\"])).delete() db.commit() return delete_body
然后是dao层也就是数据库操作层(但是明显虽然有dao层但是数据库操作的逻辑已经在service层里了)
最后是读取配置文件和创建数据库引擎。
读取配置文件使用的包是oslo_config。
conf.py
# coding:utf8 # from __future__ import print_function from oslo_config import cfg DEFAULT_ARVIEW_DB_NAME = \'ginblog\' DEFAULT_ARVIEW_DB_USER = \'root\' DEFAULT_ARVIEW_DB_USER_PASSWORD = \'33demysql\' DEFAULT_ARVIEW_DB_HOST = \'81.68.179.136\' DEFAULT_ARVIEW_DB_PORT = 3306 DEFAULT_ARVIEW_DB_URL_TEMPLATE = \'mysql+mysqlconnector://{}:{}@\' \\ \'{}:{}/{}?charset=utf8\' DEFAULT_ARVIEW_DB_URL = DEFAULT_ARVIEW_DB_URL_TEMPLATE.format( DEFAULT_ARVIEW_DB_USER, DEFAULT_ARVIEW_DB_USER_PASSWORD, DEFAULT_ARVIEW_DB_HOST, DEFAULT_ARVIEW_DB_PORT, DEFAULT_ARVIEW_DB_NAME) # 声明参数选项 opt_group = cfg.OptGroup(\'keystone_authtoken\') mysql_opt_group = cfg.OptGroup(\'db\') auth_opts = [ cfg.StrOpt(\'memcached_servers\', default=\'localhost:11211\', choices=(\"localhost:11211\", \"0.0.0.0:11211\"), help=(\'localhost local\', \'0.0.0.0 So listen\') ), cfg.StrOpt(\'signing_dir\', default=\'/var/cache/cinder\', choices=(\"/var/cache/cinder\", \"/var/cache/cinder\"), ), ] # mysql mysql_opts = [ cfg.StrOpt(\'url\', default=DEFAULT_ARVIEW_DB_URL), cfg.StrOpt(\'Db\', default=\'3mysql\'), cfg.StrOpt(\'DbHost\', default=\'381.68.179.136\'), cfg.StrOpt(\'DbPort\', default=\'33306\'), cfg.StrOpt(\'DbUser\', default=\'3DbUser\'), cfg.StrOpt(\'DbPassWord\', default=\'3DbPassWord\'), cfg.StrOpt(\'DbName\', default=\'3DbName\'), cfg.BoolOpt(\'create\', default=False), cfg.BoolOpt(\'commit\', default=True), cfg.BoolOpt(\'echo\', default=True, help=\'是否显示回显\'), cfg.BoolOpt(\'echo_pool\', default=False, help=\'数据库连接池是否记录 checkouts/checkins操作\'), cfg.IntOpt(\'pool_size\', default=1000, help=\'数据库连接池中保持打开的连接数量\'), cfg.IntOpt(\'pool_recycle\', default=600, help=\'数据库连接池在连接被创建多久(单位秒)以后回收连接\') ] token_opts = [ cfg.StrOpt(\'project_domain_name\'), cfg.StrOpt(\'project_name\'), ] CINDER_OPTS = (auth_opts + token_opts) MYSQLCINDER_OPTS = (mysql_opts) # 注册参数选项 CONF = cfg.CONF # 注册组 CONF.register_group(opt_group) CONF.register_group(mysql_opt_group) # 将各个选项注册进组里 CONF.register_opts(CINDER_OPTS, group=opt_group) CONF.register_opts(MYSQLCINDER_OPTS, group=mysql_opt_group) if __name__ == \"__main__\": # 要读取哪个配置文件 CONF(default_config_files=[\'cinder.conf\']) print(\'mysql Db配置组为%s\' % (CONF.db.Db)) print(\'mysql DbHost%s\' % (CONF.db.DbHost)) print(\'mysql DbPort配置组为%s\' % (CONF.db.DbPort)) print(\'mysql DbUser%s\' % (CONF.db.DbUser))
配置文件cinder.conf
[db] Db = mysql DbHost = 81.68.179.136 DbPort = 3306 DbUser = root DbPassWord = 33demysql DbName = ginblog create = false commit = true echo = false echo_pool = false pool_size = 1000 pool_recycle =600
它的使用方法是,先声明参数选项就是(相当于声明组)
mysql_opt_group = cfg.OptGroup(\’db\’),
然后声明组内的选项,
mysql_opts = [ cfg.StrOpt(\'url\', default=DEFAULT_ARVIEW_DB_URL), cfg.StrOpt(\'Db\', default=\'3mysql\'), cfg.StrOpt(\'DbHost\', default=\'381.68.179.136\'), cfg.StrOpt(\'DbPort\', default=\'33306\'), cfg.StrOpt(\'DbUser\', default=\'3DbUser\'), cfg.StrOpt(\'DbPassWord\', default=\'3DbPassWord\'), cfg.StrOpt(\'DbName\', default=\'3DbName\'), cfg.BoolOpt(\'create\', default=False), cfg.BoolOpt(\'commit\', default=True), cfg.BoolOpt(\'echo\', default=True, help=\'是否显示回显\'), cfg.BoolOpt(\'echo_pool\', default=False, help=\'数据库连接池是否记录 checkouts/checkins操作\'), cfg.IntOpt(\'pool_size\', default=1000, help=\'数据库连接池中保持打开的连接数量\'), cfg.IntOpt(\'pool_recycle\', default=600, help=\'数据库连接池在连接被创建多久(单位秒)以后回收连接\') ]
拼接选项
MYSQLCINDER_OPTS = (mysql_opts)
接着注册组,
CONF.register_group(mysql_opt_group)
最后将选项注册进组。
CONF.register_opts(MYSQLCINDER_OPTS, group=mysql_opt_group)
当然最重要的注册参数选项,我的理解就是暴露句柄。
# 注册参数选项
CONF = cfg.CONF
然后创建数据库引擎
common/utils/sqlalchemy_util.py
import logging from json import loads as json_loads from sqlalchemy.engine import create_engine from sqlalchemy.pool import QueuePool from confg import CONF SQLALCHEMY_ENGINE_CONTAINER = {} logger = logging.getLogger(\"arview\") def json_deserializer(s, **kw): if isinstance(s, bytes): return json_loads(s.decode(\'utf-8\'), **kw) else: return json_loads(s, **kw) def get_sqlalchemy_engine(db_url): if db_url not in SQLALCHEMY_ENGINE_CONTAINER: engine = create_engine(db_url, echo=CONF.db.echo, # pool_pre_ping如果值为True,那么每次从连接池中拿连接的时候,都会向数据库发送一个类似 # select 1的测试查询语句来判断服务器是否正常运行。当该连接出现disconnect的情况时, # 该连接连同pool中的其它连接都会被回收 pool_pre_ping=True, echo_pool=CONF.db.echo_pool, pool_size=CONF.db.pool_size, pool_recycle=CONF.db.pool_recycle, json_deserializer=json_deserializer, poolclass=QueuePool) logger.info(\'Create sqlalchemy engine %s\', engine) SQLALCHEMY_ENGINE_CONTAINER[db_url] = engine return SQLALCHEMY_ENGINE_CONTAINER[db_url]
这里引用配置文件的数据,直接引入CONF
from confg import CONF
然后使用
CONF.db.echo_pool
创建句柄,
与我之前使用的方法不同的是,这里的数据库引擎不需要在使用的地方引入了,会在main里注册路由分组时,通过plugin插件自动将数据库引擎导入。这也是我有点搞不懂的地方,虽然更方便,但是不知道就很难知道了,问了同事才知道是怎么回事。
bottle源码
def install(self, plugin): \'\'\' Add a plugin to the list of plugins and prepare it for being applied to all routes of this application. A plugin may be a simple decorator or an object that implements the :class:`Plugin` API. \'\'\'
plugin就是相当与golang的中间件,不过作用范围是全部路由。
这里创建数据库句柄并使用是一个比较绕的过程。总体思路:
1.写一个bottle plugin,创建数据库句柄,然后install安装这个plugin。就可以在所有的路由中自动引入这个插件(就是不用在包里在导入db句柄了,bottle会自动导入)。
/common/base.py 创建plugin并安装
import logging from bottle import Bottle from confg.conf import CONF from sqlalchemy import create_engine from sqlalchemy.orm import sessionmaker, scoped_session from db.models.base import Base as ApiModelBase from common.utils.sqlalchemy_util import get_sqlalchemy_engine from bottle_sqlalchemy import SQLAlchemyPlugin logger = logging.getLogger(\"arview\") base = ApiModelBase # sqlalchemy orm base class class Plugins: SQLALCHEMY_PLUGIN = None # sqlalchemy plugin, global only one instance APSCHEDULER_PLUGIN = None # apsechduler plugin. global only one instance class Base(object): def __init__(self, *args, **kwargs): logger.debug(\'>>>> Base init begin\') self.app = Bottle() # self.app.install(SwaggerPlugin(self._type)) logger.debug(\'>>>> Base init end\') class DB(Base): def __init__(self, db_url, create=None, commit=None, *args, **kwargs): print(\'db_url:\', db_url) super(DB, self).__init__(*args, **kwargs) if create is None: create = CONF.db.create if commit is None: commit = CONF.db.commit if Plugins.SQLALCHEMY_PLUGIN is None: Plugins.SQLALCHEMY_PLUGIN = _create_sqlalchemy_plugin(db_url, create=create, commit=commit) self.app.install(Plugins.SQLALCHEMY_PLUGIN) logger.debug(\"Install plugin: sqlalchemy.\") # if CONF.api.enable_request_interval_plugin: # self.app.install(RequestTimeIntervalPlugin()) logger.debug(\'>>>> DB init end\') class CommonBase(object): def __init__(self): self._db = None @property def db(self): if not self._db: DBURL = \"mysql+mysqlconnector://{}:{}@{}:{}/{}?charset=utf8\".format(CONF.mysql.DbUser, CONF.mysql.DbPassWord, CONF.mysql.DbHost, CONF.mysql.DbPort, CONF.mysql.DbName) engine = create_engine(DBURL, echo=False) self._db = sessionmaker()(bind=engine) return self._db @db.deleter def db(self): if self._db: self._db.commit() self._db.close() self._db = None def _create_sqlalchemy_plugin(db_url, create, commit): \"\"\" 创建sqlalchemy插件 :param db_url: :param echo: :param create: :param commit: :return: \"\"\" logger.debug(\'>>>> create sqlalchemy plugin begin\') engine = get_sqlalchemy_engine(db_url) plugin = SQLAlchemyPlugin(engine, metadata=ApiModelBase.metadata, create=create, commit=commit, use_kwargs=True) logger.debug(\'>>>> create sqlalchemy plugin %s\' % plugin) return plugin
最后使用
/api/user.py
import logging from bottle import request from common.base import DB from api.service.user import UserService logger = logging.getLogger(\"arview\") class User(DB, UserService): def __init__(self, *args, **kwargs): print(\">>> User init begin\") logging.debug(\'>>> User init begin\') super(User, self).__init__(*args, **kwargs) self.dispatch() logger.debug(\'>>> User init end\') def create(self, db=None): create_body = request.json create_data = self.create_user(create_body, db) return create_data def delete(self, db=None): delete_body = request.json delete_data = self.delete_user(delete_body, db) return delete_data def list(self, db=None): list_data = self.list_user(db) return list_data def dispatch(self): self.app.route(\'/listUser\', method=\'post\')(self.list) self.app.route(\'/createUser\', method=\'post\')(self.create) self.app.route(\'/deleteUser\', method=\'post\')(self.delete)
这里的db就不需要导入了,可以直接使用。
db层
主要是模型层 /db/model/user.py
from sqlalchemy import Column, String, Enum, TIMESTAMP, Boolean, Integer, BIGINT, DATETIME from db.models.base import Base class UserModel(Base): __tablename__ = \"user\" id = Column(\"id\", BIGINT, primary_key=True, comment=\"用户id\") created_at = Column(\"created_at\", DATETIME, comment=\"创建时间\") updated_at = Column(\"updated_at\", DATETIME, comment=\"更新时间\") deleted_at = Column(\"deleted_at\", DATETIME, comment=\"删除时间\") username = Column(\"username\", String(20), comment=\"用户名\") password = Column(\"password\", String(500), comment=\"密码\") role = Column(\"role\", BIGINT, comment=\"角色\") def __init__(self, id, created_at, updated_at, deleted_at, username, password, role): self.id = id self.created_at = created_at self.updated_at = updated_at self.deleted_at = deleted_at self.username = username self.password = password self.role = role
/db/model/base.py
from datetime import datetime from sqlalchemy import Column, TIMESTAMP from sqlalchemy.ext.declarative import declarative_base # sqlalchemy orm base class Base = declarative_base() class TimestampMixin(object): \"\"\"为ORM提供时间戳基类\"\"\" created_at = Column(\'created_at\', TIMESTAMP(True), default=datetime.now, comment=u\"创建时间\") updated_at = Column(\'updated_at\', TIMESTAMP(True), default=datetime.now, onupdate=datetime.now, comment=u\"更新时间\")
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