やりたきこと

API Gatewayを叩く
API GatewayからLambdaを起動
Lambdaからredshiftにqueryを投げる
結果をsnippetで通知

Api Gateway＋Lambdaのterraform

基本的にpostを受けてそれをそのままlamdaに渡しているだけ
lambda側はそれを解読して返答する
認証にはapi-keyを使用

api_gateway.tf

resource "aws_api_gateway_rest_api" "test_api" {
  name = "${terraform.env}_test_api"
}

//APIのパス
resource "aws_api_gateway_resource" "test_resource" {
  rest_api_id = "${aws_api_gateway_rest_api.test_api.id}"
  parent_id = "${aws_api_gateway_rest_api.test_api.root_resource_id}"
  path_part = "test_root"
}

//GET、POST等に対応
resource "aws_api_gateway_method" "test_method" {
  rest_api_id = "${aws_api_gateway_rest_api.test_api.id}"
  resource_id = "${aws_api_gateway_resource.test_resource}"
  authorization = "NONE"
  api_key_required = true
}

resource "aws_api_gateway_usage_plan" "myusageplan" {
  name = "my_usage_plan"
  description  = "my description"
  api_stages {
    api_id = "${aws_api_gateway_rest_api.test_api.id}"
    stage  = "${aws_api_gateway_stage.test_stage.stage_name}"
  }
}

resource "aws_api_gateway_api_key" "test_key" {
  name = "${terraform.env}_test_key"
}

resource "aws_api_gateway_usage_plan_key" "main" {
  key_id        = "${aws_api_gateway_api_key.test_key.id}"
  key_type      = "API_KEY"
  usage_plan_id = "${aws_api_gateway_usage_plan.myusageplan.id}"
}

resource "aws_api_gateway_stage" "test_stage" {
  stage_name = "${aws_api_gateway_deployment.MyDemoDeployment.stage_name}"
  rest_api_id = "${aws_api_gateway_rest_api.test_api.id}"
  deployment_id = "${aws_api_gateway_deployment.MyDemoDeployment.id}"
}


resource "aws_api_gateway_deployment" "MyDemoDeployment" {
  depends_on = ["aws_api_gateway_method.test_method"]
  rest_api_id = "${aws_api_gateway_rest_api.test_api.id}"
  stage_name  = "${terraform.env}_test_stage"
}

resource "aws_api_gateway_integration" "test_integration" {
  rest_api_id             = "${aws_api_gateway_rest_api.test_api.id}"
  resource_id             = "${aws_api_gateway_resource.test_resource.id}"
  http_method             = "${aws_api_gateway_method.test_method.http_method}"
  integration_http_method = "POST"
  type                    = "AWS_PROXY"
  uri                     = "arn:aws:apigateway:REGION:lambda:path/2015-03-31/functions/${aws_lambda_function.test_function.arn}/invocations"
}

// Lambda
resource "aws_lambda_permission" "apigw_lambda" {
  statement_id  = "AllowExecutionFromAPIGateway"
  action        = "lambda:InvokeFunction"
  function_name = "${aws_lambda_function.test_function.arn}"
  principal     = "apigateway.amazonaws.com"
}

lambda.tf

resource "aws_lambda_function" "test_function" {
  s3_bucket        = "${terraform.env}-test-function"
  s3_key           = "test_function.zip"
  function_name    = "${terraform.env}_test_function"
  role             = "${var.sys_lambdarole_arn}"
  handler          = "lambda_function.handler"
  timeout          = 300
  runtime          = "python3.6"
  vpc_config       = {
    subnet_ids     = [
      "${var.subnet_az1_id}",
      "${var.subnet_az2_id}"
    ]
    security_group_ids = [
      "${var.test_sg_id}"
    ]
  }
}

Lambdaの中身

lambdaに関してモジュールを一緒にいれなといけないのが大変...
今回の例ではDBにqueryを投げてる
kmsも使っているのでhost名やtokenがバレる心配もなし
結果はsnippetとしてslack側に通知
ちなみにDBにIP制限をかけている場合subnet範囲の通信を通しておく

lambda.py

port requests
import psycopg2
import json
import base64
import boto3

db_database = "DBNAME"
db_user = "USER_ID" #これもkmsで暗号化すべき...
db_password = "USER_PASS" #これもkmsで暗号化すべき...
db_port = "DB_PORT"
db_host_encoded = "base64 encoded ciphertext"
slack_token_encoded = "base64 encoded ciphertext"
slack_url = "https://slack.com/api/files.upload"


def handler(event, context):
    event_dict = json.loads(event["body"])
    # ここは渡し方次第でどうにでもなる
    channel_name = event_dict["***"]["channel_name"]
    req_usr = event_dict["***"]["req_usr"]
    magic_words = event_dict["***"]["magic_words"]
    schema_name = ***
    table_name = ***
    try:
        conn = psycopg2.connect("dbname=" + db_database
                                + " user=" + db_user
                                + " password=" + db_password
                                + " port=" + db_port
                                + " host=" + kms_plain_text(db_host_encoded))
        conn.autocommit = True
        cur = conn.cursor()
        cur.execute(test_sql(schema_name, table_name))
        result = ''
        for row in cur:
            result += "".join(map(str, row)) + "\n"
        cur.close()
        conn.close()

        # ここは用途に合わせて変える
        if result is None:
            responseObj = {
                "statusCode": 201,
                "body": "No such table"
            }
        if result:
            upload_file('test', result, channel_name)
            responseObj = {
                "statusCode": 201,
                "body": result
            }
        else:
            responseObj = {
                "statusCode": 500,
                "body": "Internal Server Error"
            }

        print(event)
        print(context)
        return responseObj
    except Exception as e:
        print(e)
        raise e


def test_sql(schema_name, table_name):
    sql = "SELECT * FROM " + schema_name+"."+table_name
    return sql


def upload_file(filename, content, channel):
    res = requests.post(slack_url, {
        'title': filename,
        'filetype': u'sql',
        'content': content,
        'link_names': 1,  # メンションを有効にする
        'channels': channel,
        'token': kms_plain_text(slack_token_encoded)
    })
    print(res)


def kms_plain_text(ciphertext_blob_encoded):
    ciphertext_blob = base64.b64decode(ciphertext_blob_encoded)
    kms = boto3.client('kms')  //どのkeyを使うかはciphertextに含まれているらしい
    dec = kms.decrypt(CiphertextBlob=ciphertext_blob)
    return dec['Plaintext'].decode('ascii')  # plaintext

# テスト実行用
if __name__ == '__main__':
    handler('', '')

終わりに

これでapi keyを持っていればいつでもredshiftにQueryを投げれる状態になりました
slackにpostを投げるbotを常駐させておけばいつでも情報をとってこれるslack botの出来上がりです

API Gatewayを叩いてLambdaからRedshiftにSQLを投げる（ついでにslackにsnippet通知）

やりたきこと

Api Gateway＋Lambdaのterraform

Lambdaの中身

終わりに