filipposc5

#!/bin/bash

cat | tee -a ~/pinentry-in.log | pinentry-mac "$@" | tee -a ~/pinentry-out.log

filipposc5

# Small util to avoid hammering the disk by reading and writing files
# all the time. Attempts to export the docker container, calculate md5
# and sha256 sums on the fly, compress, gpg encrypt and write it to disk
#
# Some credit to some Stack Overflow posts is due!

import hashlib
import os
import resource
import subprocess

filipposc5

#!/usr/sbin/dtrace -C -s

#pragma D option quiet

proc:::exec-success,proc::posix_spawn:exec-success,proc::__mac_execve:exec-success
{
this->isx64=(curproc->p_flag & P_LP64)!=0;
#define SELECT_64_86(x64, x86) (this->isx64 ? (x64) : (x86))
#define GET_POINTER(base, offset) (user_addr_t)SELECT_64_86(*(uint64_t*)((base)+sizeof(uint64_t)*(offset)), *(uint32_t*)((base)+sizeof(uint32_t)*(offset)))

filipposc5

import elasticsearch
from elasticsearch import helpers
import json


es = elasticsearch.Elasticsearch()

zz= helpers.scan(es,
    query={"query":{"filtered": {"filter": {"bool": {"must_not": [], "must": [
 {"range": {"@timestamp": {"gte": 1488365745648, "lte": 1488378342740}}}]}}, "query": {"query_string": {"analyze_wildcard": True, "query": "project: \"fr-staffapp\""}}}}},

filipposc5

# refactored version purely for science
# use to parse python variables. Grammar a bit limited but worked for the sample python files I was parsing

from pyparsing import *


NAME = Word(alphanums+'_')
VALUE = Suppress(Empty()) + restOfLine

EQUALS,LBRACE,RBRACE,LPAR,RPAR = map(Suppress,"={}()")

filipposc5

from fabric.api import task, sudo, warn_only
import pdb

def docker_exec(contr, cmd="true"):
    return 'docker exec -ti {} bash -c "{}"'.format(contr, cmd)

def healthcheck(c):
    ret = {}

filipposc5

a152m:lemur-docker filippos$ docker-compose down
Removing lemurdocker_lemur-nginx_1 ... done
Removing lemurdocker_lemur-web_1 ... done
Removing lemurdocker_postgres_1 ... done
a152m:lemur-docker filippos$ docker-compose build
postgres uses an image, skipping
Building lemur-web
Step 1 : FROM ubuntu:14.04
 ---> b549a9959a66
Step 2 : MAINTAINER Netflix Open Source Development <[email protected]>

filipposc5

; (taken from someone, not mine!)

nnoremap <f8> :diffupdate<cr>


command! -nargs=? -range=1 -bar Diffput <line1>,<line2>diffput <args>|diffupdate
command! -nargs=? -range=1 -bar Diffget <line1>,<line2>diffget <args>|diffupdate

nnoremap <f3> :Diffget-

filipposc5

Visualising dependency graph

This is a very simple dependency graph from a template, I am not a "jq" expert so it might be slightly limited.

1. Obtain stack template aws --region=eu-west-1 --profile=... cloudformation get-template --stack-name ...-... > ~/template-3

2. Create graph dot (echo digraph G \{ ; cat ~/template-3 | jq -r '.TemplateBody.Resources | keys[] as $k | select((.[$k] | .DependsOn) != null) | "\($k) -> \(.[$k] | .DependsOn);"'| tr -d \]\[ ; echo \} ) > DependsOn.dot

3. Create graph image

filipposc5

import codecs

aaa = [ "aa", "bb", "cc", ]

with codecs.open("old.txt", mode='w', encoding='utf-16le') as f:
    f.write("\n".join(aaa) + "\n")

file_old = codecs.open('old.txt', mode='r', encoding='utf-16-le')
file_new = codecs.open('new.txt', mode='w', encoding='utf-16')