mpkocher

"""
https://github.com/python/cpython/blob/main/Lib/_colorize.py

## Redesign/Approach to _colorize.py

1. Improve ergonomics of applying a theme from f"{t.BLUE} text {t.reset}" to f"{t.BLUE(' text ')}".
2. Leverage Types to improve readability. Specifically, ANSIColor to be a specific type.
3. NoColor vs Color is similar to None | int from a type standpoint.
4. There's a bit going on with `ThemeSection(Mapping[str,str])`. Maybe this can be streamlined.
5. `ThemeSection.no_colors()` can be simplified by #3

mpkocher

Notes and Comments on Modeling Secrets in Pydantic

• https://docs.pydantic.dev/latest/api/types/#pydantic.types.SecretStr
• https://github.com/pydantic/pydantic/blob/main/pydantic/types.py#L1527

Basic Usage and Example

mpkocher

"""
Pydantic Secrets

https://docs.pydantic.dev/latest/api/types/#pydantic.types.SecretStr

- Why does the "Box'ed" secret container understand (or leak) information of the secret? 
- Internally, the "Box" shouldn't use `.get_secret_value()`. Otherwise, it's leaking info.
- Mixing up the Box and `.get_secret_value()` undermines the point of using `.get_secret_value()`
- Why is the hash value leaking? Comparing two secrets should require and explicit `s1.get_secret_value() == s2.get_secret_value()` call.
- Why does the repr/str communicate "non-empty" values? This is encouraging and enabling an anti-pattern.

mpkocher

"""
https://github.com/pydantic/pydantic/issues/10724

Example of using complex keys in Dict using Pydantic for Serialization

There's a two different approaches
1. Fundamentally hook into the core serialization and map the structure into a list[{Key, Value}] (or similar) to get the Obj -> Json -> Obj working
2. Create an intermediate Object in Pydantic and add `to_X` method and `from_X` classmethod to get the Obj -> Obj2 -> Json -> Obj2 -> Obj

Method 2 is shown below

mpkocher

"""
Different workarounds for setting a configuration file path at runtime.


https://github.com/pydantic/pydantic-settings/issues/259

There's an explicit step of validating the file path to make the errors more obvious.
Otherwise, a cryptic pydantic error will be raised.
"""
import argparse

mpkocher

.PHONY: compile run extract
default: compile ;

compile:
	scala-cli compile gibson.scala

fmt:
	scala-cli fmt .
run:
	./gibson scraper -o .

mpkocher

//> using platform "jvm"
//> using scala "2.13.8"
//> using lib "dev.zio::zio:1.0.14"
//> using lib "com.monovore::decline:2.2.0"
//> using mainClass "DeclinedApp"

// Runnable using `scala-cli run Declined.scala  -- --user Ralph --alpha 3.14`

import zio.{ExitCode, ZEnv, ZIO, Task, RIO, IO, UIO, URIO}
import zio.console._

mpkocher

import sys
import json
import logging
from typing import List, Tuple, Dict, Any

from selenium import webdriver
from bs4 import BeautifulSoup
import pandas as pd

log = logging.getLogger(__name__)

mpkocher

"""
Example of Using a Subparser

Demonstration of using two Pydantic data models to
build a subparser and sharing options.

The major friction point and limitation is the order in which the options appear in --help.

For example,

mpkocher

"""PyBites Amazon book affiliation link generator.

   Uses the link pasted to clipboard and puts the generated link back onto the
   clipboard. https://pybit.es/pyperclip.html 

   Set the AMAZON_AFFILIATE_CODE variable to your own Amazon affiliate code.

From https://twitter.com/pybites/status/1277141497117323266

Separate concerns and enable other AF codes to be registered and