jamiesun

#!/usr/bin/env python
#coding:utf-8

import sys, os, re
import logging

from tornado.ioloop import IOLoop
from tornado.iostream import IOStream
from tornado.netutil import TCPServer

jamiesun

#!/bin/sh
#
# Simple Redis init.d script conceived to work on Linux systems
# as it does use of the /proc filesystem.
#
# redis    This is the init script for starting up the Redis server
#
# chkconfig: 2345 85 15
# description: Starts and stops the redis daemon that handles \
#              all redis session requests.

jamiesun

def resize_img(img_path, out_path, new_width):
    import Image
    #读取图像
    im = Image.open(img_path)
    #获得图像的宽度和高度
    width,height = im.size
    #计算高宽比
    ratio = 1.0 * height / width
    #计算新的高度
    new_height = int(new_width * ratio)

jamiesun

#coding=:utf-8
import hashlib
from settings import settings
import memcache
import cPickle  as pickle

mcache = memcache.Client(settings['memcache_url'],debug=0)

def cache_data(category='all',timeout=3600):
    def func_warp1(func):

jamiesun

"""

http://saepy.sinaapp.com/topic/24/Tornado%E4%B8%8A%E4%BC%A0%E6%96%87%E4%BB%B6%E7%A4%BA%E4%BE%8B

在bcore的开发过程中，涉及到上传文件有两个地方，一个是相册，一个是文章图文混排。这里作为一个备忘。罗列一些关键点：

文件上传的内容体在tornado.web.RequestHandler.request.files属性中，并且是以数组形式存放的。
使用临时文件存储时，在write完成后要记着把seek重置到文件头。要不然文件无法被读取。
再使用Image模块的thumbnail方法进行缩放时,resample=1作为重载渲染参数能够有效的使图片平滑，消除锯齿。

jamiesun

#!/usr/local/bin/python2.7 
#encoding:utf-8
#
# chkconfig: - 91 35
# description: Starts and stops the app server\
# used to provide app services.
#
import sys
import os
pid = "/var/run/app.pid"

jamiesun

# subprocess - Subprocesses with accessible I/O streams
#
# For more information about this module, see PEP 324.
#
# Copyright (c) 2003-2005 by Peter Astrand <astrand@lysator.liu.se>
#
# Licensed to PSF under a Contributor Agreement.
# See http://www.python.org/2.4/license for licensing details.

r"""subprocess - Subprocesses with accessible I/O streams

jamiesun

EmployeeRecord = namedtuple('EmployeeRecord', 'name, age, title, department, paygrade')

import csv
for emp in map(EmployeeRecord._make, csv.reader(open("employees.csv", "rb"))):
    print emp.name, emp.title

import sqlite3
conn = sqlite3.connect('/companydata')
cursor = conn.cursor()
cursor.execute('SELECT name, age, title, department, paygrade FROM employees')

jamiesun

#!/bin/bash

logs_path="/var/log/named/"
oldlogs=${logs_path}dns_logs
newlogs=${logs_path}dns_logs_$(date -d "yesterday" +"%Y%m%d")
rm -fr ${newlogs}
cp  ${oldlogs} ${newlogs}
echo "" > ${oldlogs}

jamiesun

import datetime

def convtime(ctime):
    if not ctime:
        return ''
    cdate = datetime.datetime.strptime(ctime,'%Y-%m-%d %H:%M:%S')
    nowdate = datetime.datetime.now()
    dt = nowdate - cdate
    secs = dt.total_seconds()