Michel Wilhelm imakecodes

michelw Michel Wilhelm

I hereby claim:

Download docker-compose.yml to dir named sentry
Change SENTRY_SECRET_KEY to random 32 char string
Run docker-compose up -d
Run docker-compose exec sentry sentry upgrade to setup database and create admin user
(Optional) Run docker-compose exec sentry pip install sentry-slack if you want slack plugin, it can be done later
Run docker-compose restart sentry
Sentry is now running on public port 9000

	from django.db import models

	class Person(models.Model):
	name = models.CharField(max_length=200)
	groups = models.ManyToManyField('Group', through='GroupMember', related_name='people')

	class Meta:
	ordering = ['name']

	def __unicode__(self):

	import pendulum
	import requests
	import os

	timestamp = pendulum.now().format("YYYY-MM-DD-HH-mm")
	filename = f"{timestamp}.json"
	filepath = f"/home/mwilhelm/notebook/will/data/{filename}"
	latest = f"/home/mwilhelm/notebook/will/data/latest.json"
	base_url = "https://balneabilidade.ima.sc.gov.br/relatorio/mapa"
	for i in range(5):

	from threading import Thread

	class QueryFuture(Thread):
	def __init__(self, q):
	self.q = q
	super().__init__()

	def run(self):
	self.docs = presto.execute_response(self.q)

	# test_calc_stats.py

	import calc_stats

	user_data = [
	{ 'id': 1, 'name': 'Aly', 'email': '[email protected]'},
	]

	activity_data = [
	{ 'id': 65, 'description': 'morning jog', 'distance': 3.1 },

	#!/bin/sh
	# ------------------------------------------------------------------------------------#
	# Console log check
	# ------------------------------------------------------------------------------------#
	# Redirect output to stderr.
	exec 1>&2
	# Enable user input
	exec < /dev/tty

	# Updated regexp to only look at the addition of console.log's on the current branch HEAD

	documents = [ dict(
	email=open("conference/%d.txt" % n).read().strip(),
	category='conference') for n in range(1,372) ]
	documents.extend([ dict(
	email=open("job/%d.txt" % n).read().strip(),
	category='job') for n in range(1,275)])
	documents.extend([ dict(
	email=open("spam/%d.txt" % n).read().strip(),
	category='spam') for n in range(1,799) ])