仮完成

This commit is contained in:
野間 2023-07-10 11:54:06 +09:00
parent 24c54076fd
commit 8caa5ab14d
25 changed files with 918 additions and 0 deletions

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tests/*
.coverage
.env
.env.example
.report/*
.vscode/*
.pytest_cache/*
*/__pychache__/*
Dockerfile
pytest.ini
README.md
*.sql

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DB_HOST=************
DB_PORT=3306
DB_USERNAME=************
DB_PASSWORD=************
DB_SCHEMA=src05
JSKULT_BACKUP_BUCKET=mbj-newdwh2021-staging-backup-jskult
JSKULT_CONFIG_BUCKET=mbj-newdwh2021-staging-config
DUMP_BACKUP_FOLDER=dump
LOG_LEVEL=INFO
DB_CONNECTION_MAX_RETRY_ATTEMPT=************
DB_CONNECTION_RETRY_INTERVAL_INIT=************
DB_CONNECTION_RETRY_INTERVAL_MIN_SECONDS=************
DB_CONNECTION_RETRY_INTERVAL_MAX_SECONDS=************

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ecs/jskult-dbdump/.gitignore vendored Normal file
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.vscode/settings.json
.env
# python
__pycache__
# python test
.pytest_cache
.coverage
.report/

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ecs/jskult-dbdump/.vscode/launch.json vendored Normal file
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{
// IntelliSense 使
//
// : https://go.microsoft.com/fwlink/?linkid=830387
"version": "0.2.0",
"configurations": [
{
"name": "(DEBUG)jskult batch dbdump",
"type": "python",
"request": "launch",
"program": "entrypoint.py",
"console": "integratedTerminal",
"justMyCode": true
}
]
}

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{
"[python]": {
"editor.defaultFormatter": null,
"editor.formatOnSave": true,
"editor.codeActionsOnSave": {
"source.organizeImports": true
}
},
//
"python.defaultInterpreterPath": "<pythonインタプリターのパス>",
"python.linting.lintOnSave": true,
"python.linting.enabled": true,
"python.linting.pylintEnabled": false,
"python.linting.flake8Enabled": true,
"python.linting.flake8Args": [
"--max-line-length=200",
"--ignore=F541"
],
"python.formatting.provider": "autopep8",
"python.formatting.autopep8Path": "autopep8",
"python.formatting.autopep8Args": [
"--max-line-length", "200",
"--ignore=F541"
],
"python.testing.pytestArgs": [
"tests/batch/ultmarc"
],
"python.testing.unittestEnabled": false,
"python.testing.pytestEnabled": true
}

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FROM python:3.9
ENV TZ="Asia/Tokyo"
WORKDIR /usr/src/app
COPY Pipfile Pipfile.lock ./
RUN \
apt update -y && \
# パッケージのセキュリティアップデートのみを適用するコマンド
apt install -y unattended-upgrades && \
unattended-upgrades && \
pip install --upgrade pip wheel setuptools && \
pip install pipenv --no-cache-dir && \
pipenv install --system --deploy && \
pip uninstall -y pipenv virtualenv-clone virtualenv
# mysql-clientと必要なパッケージインストール
RUN apt install -y less vim curl unzip sudo default-mysql-client
# aws cli v2 のインストール
RUN curl "https://awscli.amazonaws.com/awscli-exe-linux-x86_64.zip" -o "awscliv2.zip"
RUN unzip awscliv2.zip
RUN sudo ./aws/install
COPY src ./src
COPY entrypoint.py entrypoint.py
CMD ["python", "entrypoint.py"]

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ecs/jskult-dbdump/Pipfile Normal file
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[[source]]
url = "https://pypi.org/simple"
verify_ssl = true
name = "pypi"
[packages]
sqlalchemy = "*"
tenacity = "*"
pymysql = "*"
[dev-packages]
autopep8 = "*"
flake8 = "*"
[requires]
python_version = "3.9"
[pipenv]
allow_prereleases = true

206
ecs/jskult-dbdump/Pipfile.lock generated Normal file
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{
"_meta": {
"hash": {
"sha256": "e2e2efd7ebd6ad719931983f277105dd94c4ebb6363f7c00e75dd8ca05523713"
},
"pipfile-spec": 6,
"requires": {
"python_version": "3.9"
},
"sources": [
{
"name": "pypi",
"url": "https://pypi.org/simple",
"verify_ssl": true
}
]
},
"default": {
"greenlet": {
"hashes": [
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"sha256:ffb9f8969789771e95d3c982a36be81f0adfaa7302a1d56e29f168ca15e284b8"
],
"markers": "platform_machine == 'aarch64' or (platform_machine == 'ppc64le' or (platform_machine == 'x86_64' or (platform_machine == 'amd64' or (platform_machine == 'AMD64' or (platform_machine == 'win32' or platform_machine == 'WIN32')))))",
"version": "==3.0.0a1"
},
"pymysql": {
"hashes": [
"sha256:4f13a7df8bf36a51e81dd9f3605fede45a4878fe02f9236349fd82a3f0612f96",
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],
"index": "pypi",
"version": "==1.1.0"
},
"sqlalchemy": {
"hashes": [
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"sha256:bffd6cd47c2e68970039c0d3e355c9ed761d3ca727b204e63cd294cad0e3df90",
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"sha256:fc44e50f9d5e96af1a561faa36863f9191f27364a4df3eb70bca66e9370480b6"
],
"index": "pypi",
"version": "==2.0.18"
},
"tenacity": {
"hashes": [
"sha256:2f277afb21b851637e8f52e6a613ff08734c347dc19ade928e519d7d2d8569b0",
"sha256:43af037822bd0029025877f3b2d97cc4d7bb0c2991000a3d59d71517c5c969e0"
],
"index": "pypi",
"version": "==8.2.2"
},
"typing-extensions": {
"hashes": [
"sha256:440d5dd3af93b060174bf433bccd69b0babc3b15b1a8dca43789fd7f61514b36",
"sha256:b75ddc264f0ba5615db7ba217daeb99701ad295353c45f9e95963337ceeeffb2"
],
"markers": "python_version >= '3.7'",
"version": "==4.7.1"
}
},
"develop": {
"autopep8": {
"hashes": [
"sha256:86e9303b5e5c8160872b2f5ef611161b2893e9bfe8ccc7e2f76385947d57a2f1",
"sha256:f9849cdd62108cb739dbcdbfb7fdcc9a30d1b63c4cc3e1c1f893b5360941b61c"
],
"index": "pypi",
"version": "==2.0.2"
},
"flake8": {
"hashes": [
"sha256:3833794e27ff64ea4e9cf5d410082a8b97ff1a06c16aa3d2027339cd0f1195c7",
"sha256:c61007e76655af75e6785a931f452915b371dc48f56efd765247c8fe68f2b181"
],
"index": "pypi",
"version": "==6.0.0"
},
"mccabe": {
"hashes": [
"sha256:348e0240c33b60bbdf4e523192ef919f28cb2c3d7d5c7794f74009290f236325",
"sha256:6c2d30ab6be0e4a46919781807b4f0d834ebdd6c6e3dca0bda5a15f863427b6e"
],
"markers": "python_version >= '3.6'",
"version": "==0.7.0"
},
"pycodestyle": {
"hashes": [
"sha256:347187bdb476329d98f695c213d7295a846d1152ff4fe9bacb8a9590b8ee7053",
"sha256:8a4eaf0d0495c7395bdab3589ac2db602797d76207242c17d470186815706610"
],
"markers": "python_version >= '3.6'",
"version": "==2.10.0"
},
"pyflakes": {
"hashes": [
"sha256:ec55bf7fe21fff7f1ad2f7da62363d749e2a470500eab1b555334b67aa1ef8cf",
"sha256:ec8b276a6b60bd80defed25add7e439881c19e64850afd9b346283d4165fd0fd"
],
"markers": "python_version >= '3.6'",
"version": "==3.0.1"
},
"tomli": {
"hashes": [
"sha256:939de3e7a6161af0c887ef91b7d41a53e7c5a1ca976325f429cb46ea9bc30ecc",
"sha256:de526c12914f0c550d15924c62d72abc48d6fe7364aa87328337a31007fe8a4f"
],
"markers": "python_version < '3.11'",
"version": "==2.0.1"
}
}
}

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# 実消化&アルトマーク 月次バッチ
## 概要
実消化&アルトマークの月次バッチ処理。
## 環境情報
- Python 3.9
- MySQL 8.23
- VSCode
## 環境構築
- Python の構築
- Merck_NewDWH 開発 2021 の Wiki、[Python 環境構築](https://nds-tyo.backlog.com/alias/wiki/1874930)を参照
- 「Pipenv の導入」までを行っておくこと
- 構築完了後、プロジェクト配下で以下のコマンドを実行し、Python の仮想環境を作成する
- `pipenv install --dev --python <pyenvでインストールしたpythonバージョン>`
- この手順で出力される仮想環境のパスは、後述する VSCode の設定手順で使用するため、控えておく
- MySQL の環境構築
- Windows の場合、以下のリンクからダウンロードする
- <https://dev.mysql.com/downloads/installer/>
- Docker を利用する場合、「newsdwh-tools」リポジトリの MySQL 設定を使用すると便利
- 「crm-table-to-ddl」フォルダ内で以下のコマンドを実行すると
- `docker-compose up -d`
- Docker の構築手順は、[Docker のセットアップ手順](https://nds-tyo.backlog.com/alias/wiki/1754332)を参照のこと
- データを投入する
- 立ち上げたデータベースに「src05」スキーマを作成する
- [ローカル開発用データ](https://ndstokyo.sharepoint.com/:f:/r/sites/merck-new-dwh-team/Shared%20Documents/03.NewDWH%E6%A7%8B%E7%AF%89%E3%83%95%E3%82%A7%E3%83%BC%E3%82%BA3/02.%E9%96%8B%E7%99%BA/90.%E9%96%8B%E7%99%BA%E5%85%B1%E6%9C%89/%E3%83%AD%E3%83%BC%E3%82%AB%E3%83%AB%E9%96%8B%E7%99%BA%E7%94%A8%E3%83%87%E3%83%BC%E3%82%BF?csf=1&web=1&e=VVcRUs)をダウンロードし、mysql コマンドを使用して復元する
- `mysql -h <ホスト名> -P <ポート> -u <ユーザー名> -p src05 < src05_dump.sql`
- 環境変数の設定
- 「.env.example」ファイルをコピーし、「.env」ファイルを作成する
- 環境変数を設定する。設定内容は PRJ メンバーより共有を受けてください
- VSCode の設定
- 「.vscode/recommended_settings.json」ファイルをコピーし、「settings.json」ファイルを作成する
- 「python.defaultInterpreterPath」を、Python の構築手順で作成した仮想環境のパスに変更する
## 実行
- VSCode 上で「F5」キーを押下すると、バッチ処理が起動する。
- 「entrypoint.py」が、バッチ処理のエントリーポイント。
- 実際の処理は、「src/jobctrl_monthly.py」で行っている。
## フォルダ構成(工事中)

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"""実消化&アルトマーク 月次バッチのエントリーポイント"""
from src import jobctrl_dbdump
if __name__ == '__main__':
try:
exit(jobctrl_dbdump.exec())
except Exception:
# エラーが起きても、正常系のコードで返す。
# エラーが起きた事実はbatch_process内でログを出す。
exit(0)

4
ecs/jskult-dbdump/my.cnf Normal file
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[client]
user=root
password=admin
host=localhost

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"""バッチ処理の共通関数"""
import logging
import textwrap
from src.db.database import Database
from src.error.exceptions import BatchOperationException, DBException
from src.system_var import constants
def get_batch_statuses() -> tuple[str, str]:
"""日付テーブルから、以下を取得して返す。
- バッチ処理中フラグ
- dump取得状況区分
Raises:
BatchOperationException: 日付テーブルが取得できないとき何らかのエラーが発生したとき
Returns:
tuple[str, str]: [0]バッチ処理中フラグ[1]dump取得状況区分
"""
db = Database.get_instance()
sql = 'SELECT bch_actf, dump_sts_kbn FROM src05.hdke_tbl'
try:
db.connect()
hdke_tbl_result = db.execute_select(sql)
except DBException as e:
raise BatchOperationException(e)
finally:
db.disconnect()
if len(hdke_tbl_result) == 0:
raise BatchOperationException('日付テーブルが取得できませんでした')
# 必ず1件取れる
hdke_tbl_record = hdke_tbl_result[0]
batch_processing_flag = hdke_tbl_record['bch_actf']
dump_status_kbn = hdke_tbl_record['dump_sts_kbn']
return batch_processing_flag, dump_status_kbn
def update_dump_status_kbn_in_processing() -> None:
"""dump取得状況区分を処理中に更新する
Raises:
BatchOperationException: DB操作の何らかのエラー
"""
db = Database.get_instance()
sql = 'UPDATE src05.hdke_tbl SET dump_sts_kbn = :in_processing'
try:
db.connect()
db.execute(sql, {'in_processing': constants.BATCH_ACTF_BATCH_IN_PROCESSING})
except DBException as e:
raise BatchOperationException(e)
finally:
db.disconnect()
return
def update_dump_status_kbn_in_error() -> None:
"""dump取得状況区分をエラーに更新する
Raises:
BatchOperationException: DB操作の何らかのエラー
"""
db = Database.get_instance()
sql = """\
UPDATE src05.hdke_tbl
SET
dump_sts_kbn = :dump_unprocessed
"""
try:
db.connect()
db.execute(sql, {
'dump_unprocessed': constants.DUMP_STATUS_KBN_ERROR
})
except DBException as e:
raise BatchOperationException(e)
finally:
db.disconnect()
return
def update_dump_status_kbn_in_complete() -> None:
"""dump取得状況区分を正常終了に更新する
Raises:
BatchOperationException: DB操作の何らかのエラー
"""
db = Database.get_instance()
sql = """\
UPDATE src05.hdke_tbl
SET
dump_sts_kbn = :dump_unprocessed
"""
try:
db.connect()
db.execute(sql, {
'dump_unprocessed': constants.DUMP_STATUS_KBN_COMPLETE
})
except DBException as e:
raise BatchOperationException(e)
finally:
db.disconnect()
return
def logging_sql(logger: logging.Logger, sql: str) -> None:
"""SQL文をデバッグログで出力する
Args:
logger (logging.Logger): ロガー
sql (str): SQL文
"""
logger.debug(f'\n{"-" * 15}\n{textwrap.dedent(sql)[1:-1]}\n{"-" * 15}')

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class BatchContext:
__instance = None
__syor_date: str # 処理日(yyyy/mm/dd形式)
__is_arisj_output_day: bool # 月次バッチ起動日フラグ
def __init__(self) -> None:
self.__is_arisj_output_day = False
@classmethod
def get_instance(cls):
if cls.__instance is None:
cls.__instance = cls()
return cls.__instance
@property
def syor_date(self):
return self.__syor_date
@syor_date.setter
def syor_date(self, syor_date_str: str):
self.__syor_date = syor_date_str
@property
def is_arisj_output_day(self):
return self.__is_arisj_output_day
@is_arisj_output_day.setter
def is_arisj_output_day(self, flag: bool):
self.__is_arisj_output_day = flag

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from sqlalchemy import (Connection, CursorResult, Engine, QueuePool,
create_engine, text)
from sqlalchemy.engine.url import URL
from tenacity import retry, stop_after_attempt, wait_exponential
from src.error.exceptions import DBException
from src.logging.get_logger import get_logger
from src.system_var import environment
logger = get_logger(__name__)
class Database:
"""データベース操作クラス"""
__connection: Connection = None
__engine: Engine = None
__host: str = None
__port: str = None
__username: str = None
__password: str = None
__schema: str = None
__connection_string: str = None
def __init__(self, username: str, password: str, host: str, port: int, schema: str) -> None:
"""このクラスの新たなインスタンスを初期化します
Args:
username (str): DBユーザー名
password (str): DBパスワード
host (str): DBホスト名
port (int): DBポート
schema (str): DBスキーマ名
"""
self.__username = username
self.__password = password
self.__host = host
self.__port = int(port)
self.__schema = schema
self.__connection_string = URL.create(
drivername='mysql+pymysql',
username=self.__username,
password=self.__password,
host=self.__host,
port=self.__port,
database=self.__schema,
query={"charset": "utf8mb4"}
)
self.__engine = create_engine(
self.__connection_string,
pool_timeout=5,
poolclass=QueuePool
)
@classmethod
def get_instance(cls):
"""インスタンスを取得します
Returns:
Database: DB操作クラスインスタンス
"""
return cls(
username=environment.DB_USERNAME,
password=environment.DB_PASSWORD,
host=environment.DB_HOST,
port=environment.DB_PORT,
schema=environment.DB_SCHEMA
)
@retry(
wait=wait_exponential(
multiplier=environment.DB_CONNECTION_RETRY_INTERVAL_INIT,
min=environment.DB_CONNECTION_RETRY_INTERVAL_MIN_SECONDS,
max=environment.DB_CONNECTION_RETRY_INTERVAL_MAX_SECONDS
),
stop=stop_after_attempt(environment.DB_CONNECTION_MAX_RETRY_ATTEMPT))
def connect(self):
"""
DBに接続します接続に失敗した場合リトライします
Raises:
DBException: 接続失敗
"""
try:
self.__connection = self.__engine.connect()
except Exception as e:
raise DBException(e)
def execute_select(self, select_query: str, parameters=None) -> list[dict]:
"""SELECTクエリを実行します。
Args:
select_query (str): SELECT文
parameters (dict, optional): クエリのプレースホルダーに埋め込む変数の辞書. Defaults to None.
Raises:
DBException: DBエラー
Returns:
list[dict]: カラム名: 値の辞書リスト
"""
if self.__connection is None:
raise DBException('DBに接続していません')
result = None
try:
# トランザクションが開始している場合は、トランザクションを引き継ぐ
if self.__connection.in_transaction():
result = self.__connection.execute(text(select_query), parameters)
else:
# トランザクションが明示的に開始していない場合は、クエリ単位でトランザクションをbegin-commitする。
result = self.__execute_with_transaction(select_query, parameters)
except Exception as e:
raise DBException(f'SQL Error: {e}')
result_rows = result.mappings().all()
return result_rows
def execute(self, query: str, parameters=None) -> CursorResult:
"""SQLクエリを実行します。
Args:
query (str): SQL文
parameters (dict, optional): クエリのプレースホルダーに埋め込む変数の辞書. Defaults to None.
Raises:
DBException: DBエラー
Returns:
CursorResult: 取得結果
"""
if self.__connection is None:
raise DBException('DBに接続していません')
result = None
try:
# トランザクションが開始している場合は、トランザクションを引き継ぐ
if self.__connection.in_transaction():
result = self.__connection.execute(text(query), parameters)
else:
# トランザクションが明示的に開始していない場合は、クエリ単位でトランザクションをbegin-commitする。
result = self.__execute_with_transaction(query, parameters)
except Exception as e:
raise DBException(f'SQL Error: {e}')
return result
def begin(self):
"""トランザクションを開始します。"""
if not self.__connection.in_transaction():
self.__connection.begin()
def commit(self):
"""トランザクションをコミットします"""
if self.__connection.in_transaction():
self.__connection.commit()
def rollback(self):
"""トランザクションをロールバックします"""
if self.__connection.in_transaction():
self.__connection.rollback()
def disconnect(self):
"""DB接続を切断します。"""
if self.__connection is not None:
self.__connection.close()
self.__connection = None
def __execute_with_transaction(self, query: str, parameters: dict):
# トランザクションを開始してクエリを実行する
with self.__connection.begin():
try:
result = self.__connection.execute(text(query), parameters=parameters)
except Exception as e:
self.__connection.rollback()
raise e
# ここでコミットされる
return result

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class MeDaCaException(Exception):
pass
class DBException(MeDaCaException):
pass
class BatchOperationException(MeDaCaException):
pass

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"""日次バッチ処理前DBダンプ取得"""
import datetime
import textwrap
import subprocess
import os
from src.system_var import environment
from src.error.exceptions import BatchOperationException
from src.logging.get_logger import get_logger
from src.system_var import constants
from src.batch.batch_functions import (
get_batch_statuses, update_dump_status_kbn_in_processing,
update_dump_status_kbn_in_complete, update_dump_status_kbn_in_error)
import gzip
logger = get_logger('日次バッチ処理前DBダンプ取得')
def exec():
try:
logger.info('日次バッチ処理前DBダンプ取得開始')
try:
# 日次バッチ処置中フラグ、dump処理状態区分を取得
batch_processing_flag, dump_status_kbn = get_batch_statuses()
except BatchOperationException as e:
logger.exception(f'日次ジョブ取得エラー(異常終了)\n{e}')
return constants.BATCH_EXIT_CODE_SUCCESS
# 日次バッチ処理中の場合、処理は行わない
if batch_processing_flag == constants.BATCH_ACTF_BATCH_IN_PROCESSING:
logger.error('日次ジョブ処理中エラー(異常終了)')
return constants.BATCH_EXIT_CODE_SUCCESS
# dump処理状態区分が処理中またはエラーの場合、処理は行わない
if dump_status_kbn == constants.DUMP_STATUS_KBN_PROCESSED or dump_status_kbn == constants.DUMP_STATUS_KBN_ERROR:
logger.error('dump処理状態区エラー異常終了')
return constants.BATCH_EXIT_CODE_SUCCESS
# dump処理状態区分を処理中に更新
try:
update_dump_status_kbn_in_processing()
except BatchOperationException as e:
logger.exception(f'dump処理状態区分更新(未処理→処理中) エラー(異常終了){e}')
return constants.BATCH_EXIT_CODE_SUCCESS
# MySQL接続情報を作成する
my_cnf_file_content = f"""
[client]
user={environment.DB_USERNAME}
password={environment.DB_PASSWORD}
host={environment.DB_HOST}
"""
# my.cnfファイルのパス
my_cnf_path = os.path.join('.', 'my.cnf')
# my.cnfファイルを生成する
with open(my_cnf_path, 'w') as f:
f.write(textwrap.dedent(my_cnf_file_content)[1:-1])
dt_now = datetime.datetime.now()
converted_value = dt_now.strftime('%Y%m%d%H%M%S')
file_name = f'backup_rds_src05_{converted_value}.gz'
s3_file_name = f's3://{environment.JSKULT_BACKUP_BUCKET}/{environment.DUMP_BACKUP_FOLDER}/{dt_now.year}/{dt_now.strftime("%m")}/{dt_now.strftime("%d")}/{file_name}'
mysqldump_cmd = [
'mysqldump',
'--user={mysql_user}'.format(mysql_user=environment.DB_USERNAME),
'--password={db_pw}'.format(db_pw=environment.DB_PASSWORD),
'--host={db_host}'.format(db_host=environment.DB_HOST),
'--port={db_port}'.format(db_port=environment.DB_PORT),
'{db_name}'.format(db_name=environment.DB_SCHEMA)
]
# mysqldumpコマンドを実行してデータを標準出力に出力
mysqldump_output = subprocess.check_output(mysqldump_cmd)
# gzipで圧縮
compressed_data = gzip.compress(mysqldump_output)
# AWS CLIを使ってS3にアップロード
aws_cli_cmd = [
'aws',
's3',
'cp',
'-',
s3_file_name
]
subprocess.run(aws_cli_cmd, input=compressed_data)
# dump処理状態区分を正常終了に更新
try:
update_dump_status_kbn_in_complete()
except BatchOperationException as e:
logger.exception(f'dump処理状態区分更新(処理中→正常終了) エラー(異常終了)\n{e}')
return constants.BATCH_EXIT_CODE_SUCCESS
# 正常終了を保守ユーザーに通知
logger.info('[NOTICE]日次バッチ処理前DBダンプ取得終了正常終了')
return constants.BATCH_EXIT_CODE_SUCCESS
except Exception as e:
# dump処理状態区分をエラーに更新
try:
update_dump_status_kbn_in_error()
except BatchOperationException as e:
logger.exception(f'dump処理状態区分更新(処理中→エラー) エラー(異常終了)\n{e}')
raise constants.BATCH_EXIT_CODE_SUCCESS
logger.exception(f'日次バッチ処理前DBダンプ取得中に想定外のエラーが発生しました \n{e}')
raise e

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import logging
from src.system_var.environment import LOG_LEVEL
# boto3関連モジュールのログレベルを事前に個別指定し、モジュール内のDEBUGログの表示を抑止する
for name in ["boto3", "botocore", "s3transfer", "urllib3"]:
logging.getLogger(name).setLevel(logging.WARNING)
def get_logger(log_name: str) -> logging.Logger:
"""一意のログ出力モジュールを取得します。
Args:
log_name (str): ロガー名
Returns:
_type_: _description_
"""
logger = logging.getLogger(log_name)
level = logging.getLevelName(LOG_LEVEL)
if not isinstance(level, int):
level = logging.INFO
logger.setLevel(level)
if not logger.hasHandlers():
handler = logging.StreamHandler()
logger.addHandler(handler)
formatter = logging.Formatter(
'%(name)s\t[%(levelname)s]\t%(asctime)s\t%(message)s',
'%Y-%m-%d %H:%M:%S'
)
for handler in logger.handlers:
handler.setFormatter(formatter)
return logger

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# バッチ正常終了コード
BATCH_EXIT_CODE_SUCCESS = 0
# バッチ処理中フラグ:未処理
BATCH_ACTF_BATCH_UNPROCESSED = '0'
# バッチ処理中フラグ:処理中
BATCH_ACTF_BATCH_IN_PROCESSING = '1'
# dump取得状態区分未処理
DUMP_STATUS_KBN_UNPROCESSED = '0'
# dump取得状態区分処理中
DUMP_STATUS_KBN_PROCESSED = '1'
# dump取得状態区分正常終了
DUMP_STATUS_KBN_COMPLETE = '2'
# dump取得状態区分エラー
DUMP_STATUS_KBN_ERROR = '9'

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import os
# Database
DB_HOST = os.environ['DB_HOST']
DB_PORT = int(os.environ['DB_PORT'])
DB_USERNAME = os.environ['DB_USERNAME']
DB_PASSWORD = os.environ['DB_PASSWORD']
DB_SCHEMA = os.environ['DB_SCHEMA']
# AWS
JSKULT_BACKUP_BUCKET = os.environ['JSKULT_BACKUP_BUCKET']
JSKULT_CONFIG_BUCKET = os.environ['JSKULT_CONFIG_BUCKET']
# 初期値がある環境変数
LOG_LEVEL = os.environ.get('LOG_LEVEL', 'INFO')
DB_CONNECTION_MAX_RETRY_ATTEMPT = int(os.environ.get('DB_CONNECTION_MAX_RETRY_ATTEMPT', 4))
DB_CONNECTION_RETRY_INTERVAL_INIT = int(os.environ.get('DB_CONNECTION_RETRY_INTERVAL', 5))
DB_CONNECTION_RETRY_INTERVAL_MIN_SECONDS = int(os.environ.get('DB_CONNECTION_RETRY_MIN_SECONDS', 5))
DB_CONNECTION_RETRY_INTERVAL_MAX_SECONDS = int(os.environ.get('DB_CONNECTION_RETRY_MAX_SECONDS', 50))
DUMP_BACKUP_FOLDER = os.environ['DUMP_BACKUP_FOLDER']