Eduardo C ehc-io

## llm-biller-tests.py
import vertexai
from vertexai.generative_models import GenerativeModel
import argparse
import random
import time
import os
from datetime import datetime
import json

# Constants

## locale_fixer.sh
apt-get update && apt-get install -y locales && locale-gen en_US.UTF-8 && update-locale LANG=en_US.UTF-8 LC_ALL=en_US.UTF-8

## llm_populatedb.py
# sql_script_populatedb.py
import mysql.connector
import random
import datetime
import argparse
import json
import math
import logging
import os
import string

## cachet.sh
#!/bin/bash

set -e  # Exit immediately if a command exits with a non-zero status

# Prompt the user for input
read -p "Enter the URL: " url
if [ -z "$url" ]; then
  echo "URL is mandatory. Exiting."
  exit 1
fi

## html_to_markdown_prompt.txt
    HTML_BODY_EXTRACTOR_PROMPT = """
        You are an expert HTML parser and markdown converter. Your task is to take raw HTML code as input, extract only the relevant content from the HTML body, and convert it to markdown format. Follow these steps:
        1. Parse the input HTML code.
        2. Identify and extract the content within the <body> tags.
        3. Remove any unnecessary HTML elements, such as <script>, <style>, or <header> tags.
        4. Convert the remaining HTML elements to their markdown equivalents:
        - Convert headings (<h1>, <h2>, etc.) to markdown headings (# , ##, etc.)
        - Convert <p> tags to plain text paragraphs
        - Convert <a> tags to markdown links [text](url)
        - Convert <img> tags to markdown images ![alt text](image url)

## gwkspaces-sample.ipynb

      
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                ehc-io
                / gwkspaces-sample.ipynb
            
            
              Created
              May 23, 2024 13:40
            
              
                Google Workspace Python SDK Template
              
          
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## giffer.py
import os
import argparse
from moviepy.editor import VideoFileClip


def convert_to_gif(input_path, output_path):
    try:
        video = VideoFileClip(input_path)

        # Calculate start and end times based on video length

## agg_gcp_billing_15days.sql
SELECT
  sku.id AS sku_id,
  sku.description AS sku_description,
  SUM(cost) AS total_cost
FROM
  `<TABLE>`
WHERE
  usage_start_time >= TIMESTAMP_SUB(CURRENT_TIMESTAMP(), INTERVAL 15 DAY)
GROUP BY
  sku.id,

## gcpbilling30days.sql
SELECT
  resource.name,
  service.description,
  sku.id,
  sku.description,
  usage.unit,
  usage.amount,
  usage.amount_in_pricing_units,
  usage.pricing_unit,
  cost,

## document-ai-quality-score-demo.py
import sys

# pip install --upgrade google-cloud-aiplatform google-cloud-documentai google-cloud-storage
# gcloud auth application-default login

from typing import Optional, Sequence
from google.api_core.client_options import ClientOptions
from google.cloud import documentai
from google.cloud import storage
	import vertexai
	from vertexai.generative_models import GenerativeModel
	import argparse
	import random
	import time
	import os
	from datetime import datetime
	import json

	# Constants
	# sql_script_populatedb.py
	import mysql.connector
	import random
	import datetime
	import argparse
	import json
	import math
	import logging
	import os
	import string
	#!/bin/bash

	set -e # Exit immediately if a command exits with a non-zero status

	# Prompt the user for input
	read -p "Enter the URL: " url
	if [ -z "$url" ]; then
	echo "URL is mandatory. Exiting."
	exit 1
	fi
	HTML_BODY_EXTRACTOR_PROMPT = """
	You are an expert HTML parser and markdown converter. Your task is to take raw HTML code as input, extract only the relevant content from the HTML body, and convert it to markdown format. Follow these steps:
	1. Parse the input HTML code.
	2. Identify and extract the content within the <body> tags.
	3. Remove any unnecessary HTML elements, such as <script>, <style>, or <header> tags.
	4. Convert the remaining HTML elements to their markdown equivalents:
	- Convert headings (<h1>, <h2>, etc.) to markdown headings (# , ##, etc.)
	- Convert <p> tags to plain text paragraphs
	- Convert <a> tags to markdown links [text](url)
	- Convert <img> tags to markdown images ![alt text](image url)
	import os
	import argparse
	from moviepy.editor import VideoFileClip


	def convert_to_gif(input_path, output_path):
	try:
	video = VideoFileClip(input_path)

	# Calculate start and end times based on video length
	SELECT
	sku.id AS sku_id,
	sku.description AS sku_description,
	SUM(cost) AS total_cost
	FROM
	`<TABLE>`
	WHERE
	usage_start_time >= TIMESTAMP_SUB(CURRENT_TIMESTAMP(), INTERVAL 15 DAY)
	GROUP BY
	sku.id,
	SELECT
	resource.name,
	service.description,
	sku.id,
	sku.description,
	usage.unit,
	usage.amount,
	usage.amount_in_pricing_units,
	usage.pricing_unit,
	cost,
	import sys

	# pip install --upgrade google-cloud-aiplatform google-cloud-documentai google-cloud-storage
	# gcloud auth application-default login

	from typing import Optional, Sequence
	from google.api_core.client_options import ClientOptions
	from google.cloud import documentai
	from google.cloud import storage