root@puffy # dmesg |grep -i sec

wd0: 64-sector PIO, LBA, 20480MB, 41943040 sectors
sd0: 20480MB, 512 bytes/sector, 41943040 sectors
sd1: 20480MB, 512 bytes/sector, 41943040 sectors
sd2: 20480MB, 512 bytes/sector, 41943040 sectors

docker run -it -p 5123:5123 --name dotnet-hello ubuntu:latest

apt-get update && apt-get -y upgrade && apt-get -y install wget

wget https://packages.microsoft.com/config/ubuntu/22.10/packages-microsoft-prod.deb -O packages-microsoft-prod.deb
dpkg -i packages-microsoft-prod.deb && rm packages-microsoft-prod.deb
apt-get update && apt-get install -y dotnet-sdk-7.0
dotnet --version

dotnet new webapp -o MyWebApp --no-https -f net7.0

cd MyWebApp
sed -i 's#"applicationUrl".*#"applicationUrl": "http://0.0.0.0:5123",#' Properties/launchSettings.json
dotnet watch

(flask-tables-py3.10) user@host ../flask-tables> python create_fake_users.py 5
Traceback (most recent call last):
  File "/Users/stoege/git/mpr_2023Q1/flask-tables/create_fake_users.py", line 6, in <module>
    from bootstrap_table import User, db
  File "/Users/stoege/git/mpr_2023Q1/flask-tables/bootstrap_table.py", line 18, in <module>
    db.create_all()
  File "/Users/stoege/git/mpr_2023Q1/flask-tables/.venv/lib/python3.10/site-packages/flask_sqlalchemy/extension.py", line 868, in create_all
    self._call_for_binds(bind_key, "create_all")
  File "/Users/stoege/git/mpr_2023Q1/flask-tables/.venv/lib/python3.10/site-packages/flask_sqlalchemy/extension.py", line 839, in _call_for_binds
    engine = self.engines[key]
  File "/Users/stoege/git/mpr_2023Q1/flask-tables/.venv/lib/python3.10/site-packages/flask_sqlalchemy/extension.py", line 628, in engines
    app = current_app._get_current_object()  # type: ignore[attr-defined]
  File "/Users/stoege/git/mpr_2023Q1/flask-tables/.venv/lib/python3.10/site-packages/werkzeug/local.py", line 513, in _get_current_object
    raise RuntimeError(unbound_message) from None
RuntimeError: Working outside of application context.

This typically means that you attempted to use functionality that needed
the current application. To solve this, set up an application context
with app.app_context(). See the documentation for more information.

#!/usr/bin/env bash
script_path=$(dirname "$0")
cd "$script_path"

#!/usr/bin/env sh

check_ret () {
  if [[ "$ret" == "0" ]]; then
    echo "Command terminated sucessfully"
  else
    echo "Command returned an Error: ${ret}"
  fi
}

which bash > /dev/null 2>&1
ret=$?
check_ret $ret


which BASH > /dev/null 2>&1
ret=$?
check_ret $ret

exit 0

cat << 'EOF' > /tmp/ssh-key-generator.sh
#!/usr/bin/env bash

# File
f=/tmp/id_ed25519

# Cleanup
test -f $f && rm $f $f.pub

# Gen Key
ssh-keygen -o -a 100 -t ed25519 -N "" -f ${f}

# Extact Password (last 8 Char from PubKey)
pw=$(cat ${f}.pub |cut -d" " -f 2 |gsed -E 's/^.{60}//')
pw2=$(echo $pw |gsed -E 's/\//x/g')
id=$(echo $pw2 |gsed -E 's/^....//')

# Rename
mv ${f}     ${f}-${id}
mv ${f}.pub ${f}-${id}.pub

# Set Var
x="${f}-${id}"
f="$x"

# Prepare Password
cat << EOF2 > ${f}.x
#!/bin/sh
echo $pw2
EOF2
chmod +x ${f}.x

# Set Comment
ssh-keygen -c -C "Password: $pw2" -f ${f}

# Set Password
ssh-keygen -p -N "$pw2" -f ${f}

# Show Key
cat ${f}.pub

# Add to Agent
DISPLAY=1 SSH_ASKPASS="${f}.x" ssh-add ${f} < /dev/null

# Cleanup
rm ${f}.x

exit 0
EOF

cd /tmp
chmod +x /tmp/ssh-key-generator.sh
./ssh-key-generator.sh; ls -la /tmp/id*

pkg_add vault

mkdir ~/mywordcloud; cd ~/mywordcloud

cat <<'EOF' > main.py
import fire
import matplotlib.pyplot as plt
import pandas as pd
import re
import requests
from bs4 import BeautifulSoup
from wordcloud import STOPWORDS, WordCloud


def gen_cloud_tag(url: str = "https://blog.stoege.net"):
    # add https
    if not url.startswith("https://"):
        url = "https://" + url

    # get Webpage
    response = requests.get(url, timeout=5, allow_redirects=True)
    soup = BeautifulSoup(response.text, "html.parser")
    words = soup.get_text()

    # split with multiple delimiters
    words = re.split(r"[\n\r]", words)

    # build Dataframe
    df = pd.DataFrame(words)

    # Stop Words
    comment_words = ""
    stopwords = set(STOPWORDS)

    # iterate
    for val in df.values:
        # typecaste each val to string
        val = str(val)

        # split the value
        tokens = val.split()

        # Converts each token into lowercase
        for i in range(len(tokens)):
            tokens[i] = tokens[i].lower()

        comment_words += " ".join(tokens) + " "

    # Build Wordcloud
    wordcloud = WordCloud(
        width=800,
        height=800,
        background_color="white",
        stopwords=stopwords,
        min_font_size=10,
    ).generate(comment_words)

    # Build Image
    plt.figure(figsize=(8, 8), facecolor=None)
    plt.imshow(wordcloud)
    plt.axis("off")
    plt.tight_layout(pad=0)

    # show Image
    plt.show()


if __name__ == "__main__":
    fire.Fire(gen_cloud_tag)
EOF

pkg_add yubikey-manager-3.1.2p4

rcctl enable pcscd
rcctl start pcscd