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Collin Donahue-Oponski colllin

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@colllin
colllin / Readme.md
Last active February 9, 2021 23:24
FaunaDB Clear all GraphQL metadata
View Readme.md

From Leo via slack on Jan 3rd, 2020 in #graphql channel:

This is the script you should run in order to delete all of the GraphQL metadata for the current DB (it won't delete any actual data):

// Remove GraphQL metadata from Collections, Functions, and Indexes
Foreach(Paginate(Collections(), {size:10000}), Lambda('ref', Update(Var('ref'), {data: {gql: null}})))
Foreach(Paginate(Functions(), {size:10000}), Lambda('ref', Update(Var('ref'), {data: {gql: null}})))
Foreach(Paginate(Indexes(), {size:10000}), Lambda('ref', Update(Var('ref'), {data: {gql: null}})))
@colllin
colllin / flatten_action.py
Created August 19, 2020 20:48
OpenAI Gym FlattenAction wrapper
View flatten_action.py
import gym
class FlattenAction(gym.ActionWrapper):
"""Action wrapper that flattens the action."""
def __init__(self, env):
super(FlattenAction, self).__init__(env)
self.action_space = gym.spaces.utils.flatten_space(self.env.action_space)
def action(self, action):
return gym.spaces.utils.unflatten(self.env.action_space, action)
View Readme.md
> CreateIndex({
    name: 'users_by_messageSentAt_desc',
    source: Collection('messages'),
    values: [
        {field: ['data','sentAt'], reverse: true},
        {field: ['data','fromUser']}
    ]
})
@colllin
colllin / query-mailgun-emails-by-custom-vars.js
Created January 3, 2020 19:16
Query Mailgun emails by custom variables / custom data
View query-mailgun-emails-by-custom-vars.js
const util = require('util');
const _ = require('lodash');
const mailgun = require("mailgun-js");
async function queryByCustomData(data) {
let mg = mailgun({apiKey: process.env.MAILGUN_API_KEY});
let asyncGet = util.promisify(_.bind(mg.get, mg));
let response = await asyncGet(`/YOUR_MAIL_DOMAIN/events`, {
"user-variables": JSON.stringify(data),
});
@colllin
colllin / mount-ec2-volume.md
Last active February 17, 2023 19:36
Mount an EC2 volume
View mount-ec2-volume.md
  • Create & attach volume in AWS console (must be in same availability zone).
  • From your ec2 instance, list attached volumes:
    sudo fdisk -l
    
  • Find the disk in the list and copy it's identifier to your clipboard, e.g. /dev/nvme1n1.
  • If it's a brand new volume, you probably need to format it:
    Don't do this to a volume with data on it, or else it won't have data on it anymore. You can skip this step and come back to it if you get an error about wrong fs type when trying to mount the disk.
@colllin
colllin / Readme.md
Last active May 5, 2023 08:47
FaunaDB User Token Expiration (for ABAC)
View Readme.md

Auth0 + FaunaDB ABAC integration: How to expire Fauna user secrets.

Fauna doesn't (yet?) provide guaranteed expiration/TTL for ABAC tokens, so we need to implement it ourselves if we care about it.

What's in the box?

3 javascript functions, each of which can be imported into your project or run from the command-line using node path/to/script.js arg1 arg2 ... argN:

  1. deploy-schema.js: a javascript function for creating supporting collections and indexes in your Fauna database.
@colllin
colllin / Readme.md
Last active August 11, 2020 03:03
Auth0 + FaunaDB integration strategy
View Readme.md

Goal

Solutions

At the very least, we need two pieces of functionality:

  1. Create a user document in Fauna to represent each Auth0 user.
  2. Exchange an Auth0 JWT for a FaunaDB user secret.
@colllin
colllin / Find Learning Rate.ipynb
Last active June 4, 2023 11:00
Learning Rate Finder in PyTorch
View Find Learning Rate.ipynb
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@colllin
colllin / log_profile.py
Last active June 4, 2023 11:01
Utility for logging system profile to tensorboardx during pytorch training.
View log_profile.py
import torch
import psutil
import numpy as np
def log_profile(summaryWriter, step, scope='profile', cpu=True, mem=True, gpu=torch.cuda.is_available(), disk=['read_time', 'write_time'], network=False):
if cpu:
cpu_usage = np.array(psutil.cpu_percent(percpu=True))
summaryWriter.add_scalars(f'{scope}/cpu/percent', {
'min': cpu_usage.min(),
'avg': cpu_usage.mean(),
@colllin
colllin / Install NVIDIA Driver and CUDA.md
Last active November 2, 2019 18:02 — forked from wangruohui/Install NVIDIA Driver and CUDA.md
Install NVIDIA Driver and CUDA on Ubuntu / CentOS / Fedora Linux OS
View Install NVIDIA Driver and CUDA.md