pbrumblay

---[ REQUEST ]---------------------------------------
POST /client/v4/zones/REDACTED/rulesets HTTP/1.1
Host: api.cloudflare.com
User-Agent: terraform/1.3.3 terraform-plugin-sdk/2.10.1 terraform-provider-cloudflare/3.27.0
Content-Length: 389
Content-Type: application/json
X-Auth-Email: REDACTED
X-Auth-Key: REDACTED
Accept-Encoding: gzip

pbrumblay

import {PubSub, v1} from '@google-cloud/pubsub';
import logger from '#utils/logger';

export async function moveMessages(options) {
  const subClient = new v1.SubscriberClient();
  const publishClient = new PubSub({projectId: options.topicproject});
  const publisher = publishClient.topic(options.targettopic, {
    batching: {
      maxMessages: 100,
      maxMilliseconds: 100,

pbrumblay

const myArgs = process.argv.slice(2);

let computedNum = 99999;
let numString = myArgs[0];

while(computedNum > 9) {
  let sum = 0;
  for (var i = 0; i < numString.length; i++) {
    sum += parseInt(numString.charAt(i));
  }

pbrumblay

import {Command} from 'commander';
import 'dotenv/config.js'; // eslint-disable-line import/no-unassigned-import
import {PubSub} from '@google-cloud/pubsub';


const program = new Command();

program
  .requiredOption('-t, --targettopic <topic name>', 'Target topic to move messages to.')
  .requiredOption('-tp, --topicproject <project>', 'Name of project where topic is defined.')

pbrumblay

#!/bin/sh
# Requests manage_project which is full control over project.
# Need to define:
# CT_PROJECT_KEY
# CT_CLIENT_ID
# CT_SECRET
#
# Example queries a product by id.
ctapiurl="https://api.us-central1.gcp.commercetools.com/$CT_PROJECT_KEY"
token=`curl https://$CT_CLIENT_ID:$CT_SECRET@auth.us-central1.gcp.commercetools.com/oauth/token -X POST -d "grant_type=client_credentials&scope=manage_project:$CT_PROJECT_KEY" | sed  's/{"access_token":"\([^"]*\).*/\1/'`

pbrumblay

import fs from 'fs';
import path from 'path';
import csv from '@fast-csv/parse';
import { Parser } from 'json2csv';

const myArgs = process.argv.slice(2);

const directoryPath = myArgs[0];

const rows = [];

pbrumblay

import Redis from 'ioredis';

const redis = new Redis({
    keyPrefix: "hereIsAPrefixToNamespaceThings:",
    port: 6379,
    host: 'localhost',
    db: 0,
    connectTimeout: 10000,
  });

pbrumblay

""" gcloud storage helper functions """
import json
import logging
import posixpath
from typing import Tuple, Any, Dict, List

from tenacity import retry, stop_after_attempt, wait_exponential
from google.cloud import storage

storage_client = storage.Client()

pbrumblay

2020-04-20 21:00:00+00:00,0.89533,0.89664,0.88963,0.89218,0.89733,0.89733,0.88993,0.89287,0.89633,0.89677,0.8898,0.89252,236284
2020-04-21 21:00:00+00:00,0.89215,0.89983,0.89112,0.89502,0.8929,0.90124,0.89136,0.89557,0.89252,0.9005,0.89125,0.8953,177029
2020-04-22 21:00:00+00:00,0.8946,0.90112,0.89169,0.89633,0.89604,0.90164,0.89202,0.89676,0.89532,0.90128,0.89187,0.89654,187587
2020-04-23 21:00:00+00:00,0.89608,0.902,0.89324,0.90008,0.89722,0.9027,0.89365,0.90208,0.89665,0.90225,0.89346,0.90108,149012
2020-04-26 21:00:00+00:00,0.899,0.90973,0.89892,0.90706,0.901,0.91003,0.9009,0.90744,0.9,0.90982,0.89992,0.90725,146455
2020-04-27 21:00:00+00:00,0.90646,0.91077,0.90363,0.90832,0.9077,0.91095,0.90445,0.9088,0.90708,0.91086,0.90426,0.90856,153814
2020-04-28 21:00:00+00:00,0.90823,0.91213,0.90704,0.90972,0.90915,0.91235,0.9075,0.91017,0.90869,0.91222,0.90742,0.90994,130235
2020-04-29 21:00:00+00:00,0.90988,0.9113,0.90253,0.90792,0.91032,0.91162,0.90282,0.90843,0.9101,0.91146,0.90269,0.90818,191082
2020-04-30 21:

pbrumblay

import pandas as pd
import pandas_ta as ta
from dateutil import parser

df = pd.read_csv('AUD_CAD.csv', sep=',', names=[
                 'datetime', 'bid_open', 'bid_high', 'bid_low', 'bid_close', 'ask_open', 'ask_high', 'ask_low', 'ask_close', 'mid_open', 'mid_high', 'mid_low', 'mid_close', 'volume'], error_bad_lines=False, parse_dates=['datetime'])

df.ta.atr(append=True, high='bid_high', low='bid_low', close='bid_close')

print(df)