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
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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" )
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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
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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)
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/service/user.py
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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
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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
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# 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))
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配置文件cinder.conf
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[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
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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,
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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' )
]
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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
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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]
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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
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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.
'''
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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
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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
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最后使用
/api/user.py
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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)
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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
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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
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/db/model/base.py
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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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原文链接:https://blog.csdn.net/qq_26372385/article/details/119854790