AnyISalIn

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AnyISalIn

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AnyISalIn

---
apiVersion: v1
kind: ServiceAccount
metadata:
  name: cleaner
  namespace: tekton-pipelines
---
kind: ClusterRole
apiVersion: rbac.authorization.k8s.io/v1
metadata:

AnyISalIn

import pandas
import numpy as np
from scipy.stats import randint
from sklearn.ensemble import RandomForestClassifier
from sklearn.datasets import make_classification
rng = np.random.RandomState(0)
X, y = make_classification(n_samples=100000000, n_features=500, random_state=rng)
with open('input', 'w') as f:
    f.write(str(X[0]))
    f.write("\n")

AnyISalIn

import delegator
import os
import json
from service import TerraformManagerService

class Provider:
  def __init__(self, config):
    self.config = config
    
class Template:

AnyISalIn

/*
 * Flush stats to Zabbix (http://www.zabbix.com/).
 *
 * To enable this backend, include 'statsd-zabbix-backend'
 * in the backends configuration array:
 *
 *   backends: ['statsd-zabbix-backend']
 *
 * This backend supports the following config options:
 *

AnyISalIn

容器的使用场景

应用部署

实际上，容器技术流行之后最受益的是开发者，因为开发者可以借助容器技术快速的部署好开发测试环境，也可以将自己的应用打包成一个镜像发放出去，用户可以直接拥有和开发者相同的环境，不需要繁琐的部署

CI/CD(持续集成、持续部署)

容器非常适合敏捷开发模式，开发者将代码通过 svn/git 提交到远程仓库后，通过 jenkins/gitlab-ci 等持续集成工具直接构建包含最新代码的镜像，运行测试，测试成功后自动将新版本的代码的镜像滚动更新到线上环境，完全自动化，解放运维

AnyISalIn

为什么要自定义 Field 类型

首先，Django ModelForm 是根据 Model 属性的类型去生成对应的 Field 的类型，如果是 String，就是 TextInput，列表就是 MultiChoice/MultiValue，Password 就是 PasswordInput，但是我博客里面新建/修改文章的 Tag 是以一个 , 来分隔的，就像下面这一样。

所以我需要用 TextInput，并且 clean 直接不做任何处理直接返回，但是在 ArticleForm 的 clean_tag_list 和 save 这两个方法里面处理 Tag

def clean_tag_list(self):

AnyISalIn

import logging
import time
from socket import *
from influxdb import InfluxDBClient

GRAPHITE_HOST = '192.168.20.103'
GRAPHITE_PORT = 2003
INFLUXDB_HOST = '192.168.20.183'
INFLUXDB_DATABASE = 'water_quality'

AnyISalIn

from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import Column, Integer, String, Float, Boolean

Base = declarative_base()
engine = create_engine('mssql+pymssql://sa:passwd1Q@192.168.20.183/tempdb')
Session = sessionmaker(bind=engine)
session = Session()