AWS LambdaからLambda関数を作成する - 闘うITエンジニアの覚え書き

from __future__ import print_function
import boto3
import zipfile
import base64

def lambda_handler(event, context):

    # Lambda関数名
    lambda_function = 'sampleFunc1'

    # Lambdaランタイム 'nodejs'|'nodejs4.3'|'nodejs6.10'|'java8'|'python2.7'|'python3.6'|'dotnetcore1.0'|'nodejs4.3-edge'
    lambda_runtime = 'python3.6'

    # ロール名
    lambda_role = 'arn:aws:iam::XXXXXXXXXXXX:role/XXXXXXX'

    # Lambda関数ハンドラ (ファイル.関数名)
    lambda_handler = 'index.main'

    # タイムアウト(sec)
    lambda_timeout = 300

    #メモリサイズ(MB)
    lambda_memory = 128

    # 一時ファイル
    tmp_src_file = '/tmp/index.py'
    tmp_zip_file = '/tmp/index.zip'

    # 登録するコード
    code = 'from __future__ import print_function' + "\n" \
         + "\n" \
         + 'def main(event, context):' + "\n" \
         + "  print('s3 function : START')" + "\n" \
         + "  return 'Hello lambda function!'"

    # pyファイル作成
    with open(tmp_src_file, 'w') as f:
        f.write(code)
        f.close()

    # zipファイル作成
    with zipfile.ZipFile(tmp_zip_file, 'w', zipfile.ZIP_DEFLATED) as f:
        f.write(tmp_src_file, 'index.py')
        f.close()

    # Lambda関数として登録
    with open(tmp_zip_file, 'rb') as f:
        zip_data = f.read()
        f.close()
        client = boto3.client('lambda')
        response = client.create_function(
            FunctionName=lambda_function,
            Runtime=lambda_runtime,
            Role=lambda_role,
            Handler=lambda_handler,
            Code={
                'ZipFile': zip_data,
                #'S3Bucket': s3_bucket_name,
                #'S3Key': s3_object_key,
                #'S3ObjectVersion': s3_object_version
            },
            Description='create function from lambda',
            Timeout=lambda_timeout,
            MemorySize=lambda_memory,
            Publish=True
        )

    return 'Hello from s3PutFunction'

from __future__ import print_function
import boto3
import zipfile
import base64

def lambda_handler(event, context):

    lambda_function = 'sampleFunc1'

    tmp_src_file = '/tmp/index.py'
    tmp_zip_file = '/tmp/index.zip'

    # 変更するコード
    code = 'from __future__ import print_function' + "\n" \
         + "\n" \
         + 'def main(event, context):' + "\n" \
         + "  print('sample function : START')" + "\n" \
         + "  print('updated code')" + "\n" \
         + "  return 'Hello sample function'"

    # pyファイル作成
    with open(tmp_src_file, 'w') as f:
        f.write(code)
        f.close()

    # zipファイル作成
    with zipfile.ZipFile(tmp_zip_file, 'w', zipfile.ZIP_DEFLATED) as f:
        f.write(tmp_src_file, 'index.py')

    # Lambda関数を変更
    with open(tmp_zip_file, 'rb') as f:
        zip_data = f.read()
        client = boto3.client('lambda')
        response = client.update_function_code(
            FunctionName=lambda_function,
            ZipFile=zip_data,
            #'S3Bucket': s3_bucket_name,
            #'S3Key': s3_object_key,
            #'S3ObjectVersion': s3_object_version
            Publish=True
        )

    return 'Hello from s3PutFunction'

import boto3

def lambda_handler(event, context):

    lambda_function = 'sampleFunc1'

    client = boto3.client('lambda')
    response = client.delete_function(
        FunctionName=lambda_function,
        #Qualifier='string'
    )

    return 'Hello from Lambda'