ryantuck

from:
  base: orders
  joins:
    - name: items
      type: inner
      on: items.order_id = orders.id
    - name: products
      type: inner
      on: products.id = items.product_id
    - name: shipments

ryantuck

"""
TruffleHog Results Parsing

Designed to operate on the output of trufflehog's json output:

    $ trufflehog --json <my_repo> > my_output.json

Expects a `trufflehog_output.json` file, and a `trufflehog_whitelist.yml` file.

Whitelist config file should look like:

ryantuck

• let's try outlines
  • here's something that i'd love to ensure gets wrapped oh wow, v cool
  • how about this?

ryantuck

todo

• eat
• do something else

ryantuck

import random
import time
import multiprocessing as mp


def sleep_random(n):
    sleep_seconds = random.randint(0, 3)
    print(f'sleeping for {sleep_seconds} seconds')
    # randomly fail
    x = 5 / sleep_seconds

ryantuck

How to squash commits, for when you forget:

• ~/src $$$ mkdir git-stuff
• ~/src $$$ cd git-stuff/
• ~/src/git-stuff $$$ git init
Initialized empty Git repository in /Users/ryan.tuck/src/git-stuff/.git/
• ~/src/git-stuff $$$ git status
On branch master

ryantuck

import json
import random

def _gen_ids(b,e):
    return f'generate_series({b}, {e})::bigint'


def _gen_float():
    return 'random()'

ryantuck

import csv
import os

source_filename = 'all.csv'

records_per_file = 1000
target_file_prefix = 'target/split'

with open(source_filename, 'r') as source:
    reader = csv.reader(source)

ryantuck

ryantuck

-- let's check what our table looks like
-- without bringing in everything
select * from email.sends limit 10;
select * from email.opens limit 10;

-- how many records are in the table?
select count(*) 
from email.sends 
limit 10;