def __init__(self, **kwargs):
if not kwargs.get('servers', False):
raise NameError, 'servers syntax'
if not self._conn:
self._conn = asyncmemcache.ClientPool(
kwargs['servers'],
maxclients=int(kwargs.get('maxclients', 100))
)
# 如果有数据库连接，交需要持久化的数据写入数据库
database = config.get('database')
if database:
MemcacheModel._meta.database = database
is_sync = False
def sync():
global is_sync
if is_sync:
return
is_sync = True
if False == (yield gen.Task(MemcacheModel.table_exists)):
yield gen.Task(MemcacheModel.create_table)
else:
# 从数据表中读取数据,并写入缓存
data = yield gen.Task(MemcacheModel.select().execute)
for v in data:
self.set(v.key, Json.decode(v.value), 0)
if not database.get_conn()._get_connection():
database.on_connect(sync)
#database.connect()
else:
sync()
def __init__(self, **kwargs):
if not kwargs.get('servers', False):
raise NameError, 'servers syntax'
if not self._conn:
self._conn = asyncmemcache.ClientPool(
kwargs['servers'],
maxclients=int(kwargs.get('maxclients', 100)))
# 如果有数据库连接，交需要持久化的数据写入数据库
database = config.get('database')
if database:
MemcacheModel._meta.database = database
is_sync = False
def sync():
global is_sync
if is_sync:
return
is_sync = True
if False == (yield gen.Task(MemcacheModel.table_exists)):
yield gen.Task(MemcacheModel.create_table)
else:
# 从数据表中读取数据,并写入缓存
data = yield gen.Task(MemcacheModel.select().execute)
for v in data:
self.set(v.key, Json.decode(v.value), 0)
if not database.get_conn()._get_connection():
database.on_connect(sync)
#database.connect()
else:
sync()
class Meta:
database = config.get('database')
'ContentData',
'table_prefix',
]
import uuid
import xcat
from xcat import utils
from xcat import mopee, config
from tornado import gen
from app.models import AsyncModel, User
# 表前缀
table_prefix = 'cms_'
# 加载缓存
cache = False
cache_cfg = config.get('cache', False)
cache_storage = cache_cfg.get('storage', 'Mongod')
if cache_cfg and hasattr(xcat.cache, cache_storage):
Cache = getattr(xcat.cache, cache_storage)
#print cache_cfg.get('config')
cache = Cache(**cache_cfg.get('config', {}))
class Table(AsyncModel):
"""内容表列表"""
# 模型定义缓存
_model_caches = {}
class Meta:
db_table = '%s%s' % (table_prefix, 'table')
from psycopg2cffi import compat
compat.register()
elif psycopg2_impl == 'psycopg2ct':
from psycopg2ct import compat
compat.register()
from tornado.httpserver import HTTPServer
from tornado.ioloop import IOLoop
from xcat import config
from xcat.web import Application
from config import settings
# 设置运行模式
settings['run_mode'] = options.model
config.load(settings)
# 连接数据库，长连接
config.get('database').connect()
# uimodules
from app import uimodules
config.set('ui_modules', uimodules)
if __name__ == '__main__':
from app.handlers import *
application = Application(**config.get())
http_server = HTTPServer(application)
http_server.listen(options.port)
IOLoop.instance().start()
'ContentData',
'table_prefix',
]
import uuid
import xcat
from xcat import utils
from xcat import mopee, config
from tornado import gen
from app.models import AsyncModel, User
# 表前缀
table_prefix = 'cms_'
# 加载缓存
cache = False
cache_cfg = config.get('cache', False)
cache_storage = cache_cfg.get('storage', 'Mongod')
if cache_cfg and hasattr(xcat.cache, cache_storage):
Cache = getattr(xcat.cache, cache_storage)
#print cache_cfg.get('config')
cache = Cache(**cache_cfg.get('config', {}))
class Table(AsyncModel):
"""内容表列表"""
# 模型定义缓存
_model_caches = {}
class Meta:
db_table = '%s%s' % (table_prefix, 'table')
if psycopg2_impl == 'psycopg2cffi':
from psycopg2cffi import compat
compat.register()
elif psycopg2_impl == 'psycopg2ct':
from psycopg2ct import compat
compat.register()
from tornado.httpserver import HTTPServer
from tornado.ioloop import IOLoop
from xcat import config
from xcat.web import Application
from config import settings
# 设置运行模式
settings['run_mode'] = options.model
config.load(settings)
# 连接数据库，长连接
config.get('database').connect()
# uimodules
from app import uimodules
config.set('ui_modules', uimodules)
if __name__ == '__main__':
from app.handlers import *
application = Application(**config.get())
http_server = HTTPServer(application)
http_server.listen(options.port)
IOLoop.instance().start()