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#!/usr/bin/env python3
"""
* Save it as `/usr/local/bin/plog`
* `sudo chmod +x /usr/local/bin/plog`

and then in a new terminal:
`docker-compose logs -f <service> | plog`

you'll see your logs in humanized format.
"""

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#!/bin/bash

# Compromised NPM Packages Checker
# Bu script compromised npm paketlerini projelerinizde arar ve rapor oluşturur

# Compromised paketler listesi
COMPROMISED_PACKAGES=(
    "ansi-styles"
    "debug"
    "backslash"

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"""
If you have a project with requirements/base.txt, requirements/local.txt, requirements/production.txt, 
and you want to use uv for managing dependencies, this script will read all those deps from txt files
and adds to pyproject.toml so that you can install them with 

uv sync --extra local
uv sync --extra production

"""

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"""Consumer Sample for NATS
It creates a "durable pull consumer" named "TEST_DURABLE".
The consumer only listens to the "TEST.pushed" subject.
It prints the json messages pushed to the "TEST.pushed" subject."""
import asyncio
import json
from nats.aio.client import Client as NATS

async def main():
    nc = NATS()

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# Export data from source postgresql database.
pg_dump --format=custom --no-owner --verbose --file=backup.dump "$SOURCE_URL"

# Restore the data to the target postgresql database.
pg_restore --clean --if-exists --no-owner --verbose --dbname="$TARGET_URL" backup.dump

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import json
import redis
client = redis.StrictRedis(
    host='hostname',
    port=6379,
    db=0,
    password='password',
    ssl=True,
    ssl_cert_reqs=None
)

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import bs4
import csv
import requests

r = requests.get("https://www.n11.com/site-haritasi")
soup = bs4.BeautifulSoup(r.text, features="html.parser")

with open("kategoriler.csv", "w") as csvfile:
    writer = csv.writer(csvfile, delimiter=';', quotechar='"')
    mcs = [(a.text, a.get('href')) for a in soup.find_all("a", class_="main-category")]

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"""
This is a script for parsing polen levels in Madrid, Spain.
It used to work in 2019 but you may need to make fixes to make it work in the following years.
"""
import re
import locale
import time
import logging

import requests

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package controllers

import (
    "github.com/revel/revel"
    "fmt"
    "time"
    "gopkg.in/mgo.v2/bson"
    "net/url"
    "github.com/ChimeraCoder/anaconda"
    "strconv"

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# We have dataframe A with column name
# We have dataframe B with column name
# I want to see rows in A with name Y such that there exists rows in B with name Y.
# It's like set intersection.
intersected = reduce(lambda x, y: x | (A['name'] == y), [False] + list(B['name']))
intersection = A[intersected]

# other alternatives
intersection = pd.merge(A, B, how='inner', on=['name'])
intersection.dropna(inplace=True)