EngineerLabShimazu

#!/bin/bash

# $ crontab -l
# * 23 * * * bash /path/to/s3_uploader.sh

# $ which aws
# /usr/local/bin/aws
# Add path to aws cli
PATH=$PATH:/usr/local/bin

EngineerLabShimazu

#!/usr/bin/env bash
LAMBDA_NAME="your-lambda-name"
cd venv/lib/python3.7/site-packages
zip -r9 ${OLDPWD}/function.zip .
cd ${OLDPWD}
cd ./lambda/custom/
zip -g ../../function.zip your_function.py
cd ${OLDPWD}
aws lambda update-function-code \
        --function-name ${LAMBDA_NAME} \

EngineerLabShimazu

import json
import os
import boto3
import botocore


def handler(event, context):
    bucket = os.environ.get('BUCKET')
    key = os.environ.get('KEY')

EngineerLabShimazu

CREATE EXTERNAL TABLE IF NOT EXISTS default.table
(
  `id` int,
  `name` string,
  `timestamp` string,
  `is_debug` boolean
)
ROW FORMAT SERDE 'org.apache.hadoop.hive.serde2.OpenCSVSerde'
WITH SERDEPROPERTIES (
  'escapeChar'='\\', 

EngineerLabShimazu

_SKILL_JSON_PATH = os.getenv('SKILL_JSON', 'skill.json')
_SKILL_NAME = os.getenv('SKILL_NAME', '')


def get_skill_name(locale: str = 'ja-JP') -> str:
    """
    Priority
    1. skill.json "manifest.publishingInformation.locales.{your-locale}.name"
    2. environment valuable from "lambda"
    3. from python

EngineerLabShimazu

import sys
import argparse


class Command:
    def __init__(self, args):
        parser = argparse.ArgumentParser(description='class sample')
        parser.add_argument('--main', '-m', action='store_true', help='main command from class')
        self.parser = parser
        try:

EngineerLabShimazu

import subprocess
def lambda_handler(event, context):
    """
    Amazon Linux release 2 (Karoo)
    runtime: python3.8
    date: 2020/05/28
    """
    proc = subprocess.run(['cat', '/etc/system-release'], stdout = subprocess.PIPE)
    print(proc.stdout.decode("utf8"))