davila7

Respuesta de Gemini-exp-1114:



Let's break down this Python code snippet step-by-step, focusing on its purpose, functionality, and the key concepts it employs.



Purpose:

davila7

import boto3
from botocore.exceptions import ClientError
import json  # Added import for json

def create_public_s3_file(bucket_name: str, file_path: str, object_key: str) -> bool:
    """
    Creates an S3 bucket (if it doesn't exist), uploads a file, and makes it publicly accessible.

    Args:
        bucket_name: The name of the S3 bucket.

davila7

from fastapi import FastAPI

app = FastAPI()

@app.get("/")
def read_root():
    return {"Hello1": "World"}

@app.get("/items/")
def read_items():

davila7

import os
import openai
from openai.embeddings_utils import get_embedding, cosine_similarity
import streamlit as st
import pandas as pd
import numpy as np
from ast import literal_eval
import nomic
from nomic import atlas

davila7

davila7

const few_shot_text = `Bot: Ask me any question. 
Me: Can I ask you something about programming?.
Bot: Yes, of course. Tell me your question and I will answer it
Me: My question about Javascript is: Write a JavaScript function to apply Bubble Sort algorithm.
Bot:
Here is a JavaScript function to apply Bubble Sort algorithm:
function bubbleSort(arr) {
  let swapped;
  do {
    swapped = false;

davila7

const one_shot_text = 'Bot: Ask me any question. '+
'Me: Can I ask you something about programming?. '+
'Bot: Yes, of course. Tell me your question and I will answer it. '+
'Me: My question about Javascript is: Write a JavaScript function to apply Bubble Sort algorithm.'+ 
'Bot:';
async function main() {
    const completion = await openai.createCompletion({
        model: "text-davinci-003",
        prompt: one_shot_text,
        temperature: 0,

davila7

const zero_shot_text = 'Write a function in Javascript';
async function main() {
    const completion = await openai.createCompletion({
        model: "text-davinci-003",
        prompt: zero_shot_text,
        temperature: 0.3,
        max_tokens: 100,
        top_p: 1.0,
        frequency_penalty: 0.5,
        presence_penalty: 0.0,

davila7

    #rds
    rds = boto3.client('rds', region_name='us-east-1')
    
    # Obtenemos una lista de todas las instancias RDS
    rds_instances = rds.describe_db_instances()
    
    stopRdsInstances = []
    #recorremos las instancias y filtramos por tag
    for rds_instance in rds_instances["DBInstances"]:
        tags = rds.list_tags_for_resource(ResourceName=rds_instance["DBInstanceArn"])

davila7

    # Definimos nuestro tag
    tag_name = 'Staging'
    
    #instancias EC2
    ec2 = boto3.resource('ec2', region_name='us-east-1')

    instances = ec2.instances.filter(Filters=[
        {
            'Name': 'instance-state-name', 
            'Values': ['running']