onelharrison

FROM public.ecr.aws/lambda/python:3.9

# Install the function's dependencies using file requirements.txt
# from your project folder.

COPY requirements.txt  .
RUN  pip3 install -r requirements.txt --target "${LAMBDA_TASK_ROOT}"

# Copy function code
COPY main.py ${LAMBDA_TASK_ROOT}

onelharrison

variable "env_name" {
  description = "Environment name"
}

data "aws_ecr_repository" "profile_faker_ecr_repo" {
  name = "profile-faker"
}

resource "aws_lambda_function" "profile_faker_function" {
  function_name = "profile-faker-${var.env_name}"

onelharrison

terraform {
  required_providers {
    aws = {
      source  = "hashicorp/aws"
      version = "~> 4.0"
    }
  }
}

provider "aws" {

onelharrison

import json
from faker import Faker

fake = Faker()


def handler(event, context):
    return {
        "statusCode": 200,
        "headers": {"Content-Type": "application/json"},

onelharrison

name: Release
on:
  push:
      branches:
        - main
jobs:
  release:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v3

onelharrison

import redis
import time
# Establish a connection to the Redis database 1 at 
# redis://localhost:6379
r = redis.Redis(host='localhost', port=6379, db=1)
# SET hello world
r.set('hello', 'world') # True
# GET hello
world = r.get('hello')
print(world.decode()) # "world"

onelharrison

import redisx
r = redisx.Redis(db=1)
r.set('hello', 'world') # True
value = r.get('hello')
print(value) # 'world'
r.delete('hello') # True
print(r.get('hello')) # None

onelharrison

"""
An oversimplified implementation of the Python interface for Redis
"""
class Redis:
    def __init__(self, db=0):
        self.db = db
        self.data = {self.db: {}}
    def get(self, key):
        """Gets the value associated with a key"""
        return self.data.get(self.db, {}).get(key)

onelharrison

import json
import random


def scramble(text: str) -> str:
    return "".join(random.sample(text, len(text)))


def handler(event, context):
    return {

onelharrison

variable "env_name" {
  description = "Environment name"
}

locals {
  function_name               = "text_scrambler"
  function_handler            = "main.handler"
  function_runtime            = "python3.9"
  function_timeout_in_seconds = 5