manzt

My Minimal TypeScript Monorepo Setup for ESM Libraries

After a deep dive looking up best practices for TypeScript monorepos recently, I couldn't find anything that suited my needs:

1. Publish individual (typed) packages to NPM with minimal config.
2. Supports fast unit testing that spans the entire project (e.g., via Vitest)
3. Ability to have an interactive playground to experiment with the API in a real-time (e.g., via Vite)

Most solutions point to TypeScript project references,

andersy005

rsignell-usgs

imankulov

#!/usr/bin/env ipython -i
import datetime
import json
from typing import Optional

import sqlalchemy as sa
from sqlalchemy.orm import declarative_base, sessionmaker
from sqlalchemy.dialects.postgresql import JSONB

from pydantic import BaseModel, Field, parse_obj_as

neelabalan

from datetime import datetime
from typing import Optional

import pandas as pd
from rich import box
from rich.console import Console
from rich.table import Table

console = Console()

twfahey1

The question: What is the best way we can use Google API via a service account in Github Actions? Answer: encrypt the credentials and decrypt during Action w/ a configured secret.

• The credentials.json.gpg is originated from the credentials.json that can be downloaded from Cloud Console for the service account.
• Encrypt it via: gpg --symmetric --cipher-algo AES256 credentials.json - Note the password used, as it will be added as a secret in this repo to be used for decoding the file and accessing Google APIs.
• Update the credentials.json.gpg file in this repo using the contents of the newly created credentials.json.gpg, commit and push.
• The password used should be added as a secret, e.g. the GOOGLE_API_PW secret in the github repo

Then, in the Github action or script, call gpg to decrypt and write the unencrypted file:

#!/bin/sh

andersy005

Inspired by dannyfritz/commit-message-emoji

See also gitmoji.

Commit type	Emoji
Initial commit	🎉 :tada:
Version tag	🔖 :bookmark:
New feature	✨ :sparkles:
Bugfix	🐛 :bug:

andersy005

$ conda env update -f scipy-demo.yml
$ conda activate scipy-demo
$ jupyter labextension install --clean \
                            @jupyter-widgets/jupyterlab-manager  dask-labextension @pyviz/jupyterlab_pyviz

andersy005

Using conda module on Cheyenne/Casper

• Using conda module on Cheyenne/Casper
  • Load the miniconda module
  • One-Time Setup
    • Initialize your shell
    • Update conda configuration to your liking
  • View the contents of the generated config file. You should now have a .condarc file in your home directory
  • Check the location of the user's conda installation:
  • Create a test environment

willirath