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class StatementTimeout(object):

    @classmethod
    def _execute_query(cls, query, db_alias):
        from django.db import connections

        cur = connections[db_alias].cursor()
        try:
            cur.execute(query)
            return cls._as_dict(cur) if cur.rowcount > 0 else True

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import csv
import os
import requests
import shutil
import urllib

"""
Docs: http://labelary.com/service.html
"""
url = 'http://api.labelary.com/v1/printers/8dpmm/labels/3x1.5/0/'

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# Postgre tested
@pytest.fixture(autouse=True)
def reset_sequence():
    cur = connection.cursor()
    cur.execute('ALTER SEQUENCE table_name RESTART WITH 1;')

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#listar arquivos:
find . -type f

#listar diferentes do padrão:
find . -type f -not -name "*cteproc.xml"

#Contar colocando na frente um:
find . -type f | wc -l     
find . -type f -not -name "*cteproc.xml" | wc -l

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# WORKAROUND to use when "scp"/"kubectl cp"/"docker cp" is unvailable

# on local machine
xxd ~/file_aaa.xlsx > /tmp/bin_file_aaa

# md5sum to compare on end
md5sum ~/file_aaa.xlsx

# open and copy full content file
gedit /tmp/bin_file_aaa  

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# paste on .bashrc and run source command
PS1='\[\033[0;37m\][\t]\[\033[0;32m\][\u]\[\033[31m\][\h]`git branch 2>/dev/null | grep \* | head -1 | sed "s/\* //g" | awk "{ print \"[ \"\\\$1 \" ]\" }"` \[\033[1;33m\]\w\a\[\033[0m\]\n\$ '

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# List branchs sorted by last commit(from config.user) date
git branch --list --sort=-committerdate

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Pull da imagem base para o DB

docker pull mysql:5.5

Pull da imagem a ser usada para extrair o snapshot. Pode ser qualquer outro que contenha o tar

docker pull ubuntu

Cria pasta onde serao salvos os snapshots

mkdir scenes

Criar o container com o DB