feat: 卸販売実績全件洗替(仮作成)
This commit is contained in:
高木要
parent
35d8a96330
commit
359b8a4085
12
ecs/jskult-batch-laundering/.dockerignore
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12
ecs/jskult-batch-laundering/.dockerignore
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tests/*
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.coverage
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.env
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.env.example
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.report/*
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.vscode/*
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.pytest_cache/*
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*/__pychache__/*
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Dockerfile
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pytest.ini
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README.md
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*.sql
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20
ecs/jskult-batch-laundering/.env.example
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ecs/jskult-batch-laundering/.env.example
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DB_HOST=************
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DB_PORT=3306
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DB_USERNAME=************
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DB_PASSWORD=************
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DB_SCHEMA=src05
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JSKULT_BACKUP_BUCKET=mbj-newdwh2021-staging-backup-jskult
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JSKULT_CONFIG_BUCKET=mbj-newdwh2021-staging-config
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LOG_LEVEL=INFO
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JSKULT_CONFIG_CALENDAR_FOLDER=jskult/calendar
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DB_CONNECTION_MAX_RETRY_ATTEMPT=************
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DB_CONNECTION_RETRY_INTERVAL_INIT=************
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DB_CONNECTION_RETRY_INTERVAL_MIN_SECONDS=************
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DB_CONNECTION_RETRY_INTERVAL_MAX_SECONDS=************
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# 連携データ抽出期間
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SALES_LAUNDERING_EXTRACT_DATE_PERIOD=7
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# 洗替対象テーブル名
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SALES_LAUNDERING_TARGET_TABLE_NAME=sales_lau_all
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10
ecs/jskult-batch-laundering/.gitignore
vendored
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10
ecs/jskult-batch-laundering/.gitignore
vendored
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.vscode/settings.json
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.env
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# python
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__pycache__
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# python test
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.pytest_cache
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.coverage
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.report/
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16
ecs/jskult-batch-laundering/.vscode/launch.json
vendored
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ecs/jskult-batch-laundering/.vscode/launch.json
vendored
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{
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// IntelliSense を使用して利用可能な属性を学べます。
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// 既存の属性の説明をホバーして表示します。
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// 詳細情報は次を確認してください: https://go.microsoft.com/fwlink/?linkid=830387
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"version": "0.2.0",
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"configurations": [
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{
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"name": "(DEBUG)jskult batch laundering",
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"type": "python",
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"request": "launch",
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"program": "entrypoint.py",
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"console": "integratedTerminal",
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"justMyCode": true
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}
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]
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}
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31
ecs/jskult-batch-laundering/.vscode/recommended_settings.json
vendored
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ecs/jskult-batch-laundering/.vscode/recommended_settings.json
vendored
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{
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"[python]": {
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"editor.defaultFormatter": null,
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"editor.formatOnSave": true,
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"editor.codeActionsOnSave": {
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"source.organizeImports": true
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}
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},
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// 自身の環境に合わせて変えてください
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"python.defaultInterpreterPath": "<pythonインタプリターのパス>",
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"python.linting.lintOnSave": true,
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"python.linting.enabled": true,
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"python.linting.pylintEnabled": false,
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"python.linting.flake8Enabled": true,
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"python.linting.flake8Args": [
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"--max-line-length=200",
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"--ignore=F541"
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],
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"python.formatting.provider": "autopep8",
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"python.formatting.autopep8Path": "autopep8",
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"python.formatting.autopep8Args": [
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"--max-line-length", "200",
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"--ignore=F541"
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],
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"python.testing.pytestArgs": [
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"tests/batch/ultmarc"
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],
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"python.testing.unittestEnabled": false,
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"python.testing.pytestEnabled": true
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}
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20
ecs/jskult-batch-laundering/Dockerfile
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ecs/jskult-batch-laundering/Dockerfile
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FROM python:3.9
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ENV TZ="Asia/Tokyo"
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WORKDIR /usr/src/app
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COPY Pipfile Pipfile.lock ./
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RUN \
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apt update -y && \
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# 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
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apt install -y unattended-upgrades && \
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unattended-upgrades && \
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pip install --upgrade pip wheel setuptools && \
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pip install pipenv --no-cache-dir && \
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pipenv install --system --deploy && \
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pip uninstall -y pipenv virtualenv-clone virtualenv
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COPY src ./src
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COPY entrypoint.py entrypoint.py
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CMD ["python", "entrypoint.py"]
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20
ecs/jskult-batch-laundering/Pipfile
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ecs/jskult-batch-laundering/Pipfile
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[[source]]
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url = "https://pypi.org/simple"
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verify_ssl = true
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name = "pypi"
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[packages]
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boto3 = "*"
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sqlalchemy = "*"
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tenacity = "*"
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pymysql = "*"
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[dev-packages]
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autopep8 = "*"
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flake8 = "*"
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[requires]
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python_version = "3.9"
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[pipenv]
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allow_prereleases = true
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262
ecs/jskult-batch-laundering/Pipfile.lock
generated
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262
ecs/jskult-batch-laundering/Pipfile.lock
generated
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{
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"_meta": {
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"hash": {
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"sha256": "a2be870e254760b62220c10400b05fa66d24b2cc1bcd6f21044735e320a62e53"
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},
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"pipfile-spec": 6,
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"requires": {
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"python_version": "3.9"
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},
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"sources": [
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{
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"name": "pypi",
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"url": "https://pypi.org/simple",
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"verify_ssl": true
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}
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]
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},
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"default": {
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"boto3": {
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"hashes": [
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"sha256:908f9c277325d68963dfcfce963a05336f0eb19505fc239c0ab9d01f4cba0296",
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"sha256:e1e535e9fb23977252f13652ed2fa9b4f2d59a53b04a5f2fad3ee415b6a3b2b0"
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],
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"index": "pypi",
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"version": "==1.27.0"
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},
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"botocore": {
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"hashes": [
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"sha256:b9cb5b78a289f0615a48d85066f01869029aa41b95993f2c0c55003df037c23f",
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"sha256:cac1333f41ec98e6f75bbba3f2c74b9e76aa3847469ecea6e7773a0af0049bee"
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],
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"markers": "python_version >= '3.7'",
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"version": "==1.30.0"
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},
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"greenlet": {
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"hashes": [
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"sha256:0a9dfcadc1d79696e90ccb1275c30ad4ec5fd3d1ab3ae6671286fac78ef33435",
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"sha256:0f313771cb8ee0a04dfdf586b7d4076180d80c94be09049daeea018089b5b957",
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"sha256:17503397bf6cbb5e364217143b6150c540020c51a3f6b08f9a20cd67c25e2ca8",
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"sha256:180ec55cb127bc745669eddc9793ffab6e0cf7311e67e1592f183d6ca00d88c1",
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"sha256:1b3f3568478bc21b85968e8038c4f98f4bf0039a692791bc324b5e0d1522f4b1",
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"sha256:1bd4ea36f0aeb14ca335e0c9594a5aaefa1ac4e2db7d86ba38f0be96166b3102",
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"sha256:21ebcb570e0d8501457d6a2695a44c5af3b6c2143dc6644ec73574beba067c90",
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"sha256:24071eee113d75fedebaeb86264d94f04b5a24e311c5ba3e8003c07d00112a7e",
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"sha256:270432cfdd6a50016b8259b3bbf398a3f7c06a06f2c68c7b93e49f53bc193bcf",
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"sha256:271ed380389d2f7e4c1545b6e0837986e62504ab561edbaff05da9c9f3f98f96",
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"sha256:2840187a94e258445e62ff1545e34f0b1a14aef4d0078e5c88246688d2b6515e",
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"sha256:2cda110faee67613fed221f90467003f477088ef1cc84c8fc88537785a5b4de9",
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"sha256:2e160a65cc6023a237be870f2072513747d512a1d018efa083acce0b673cccc0",
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"sha256:2fcf7af83516db35af3d0ed5d182dea8585eddd891977adff1b74212f4bfd2fd",
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"sha256:36cebce1f30964d5672fd956860e7e7b69772da69658d5743cb676b442eeff36",
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"sha256:42bfe67824a9b53e73f568f982f0d1d4c7ac0f587d2e702a23f8a7b505d7b7c2",
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"sha256:450a7e52a515402fd110ba807f1a7d464424bfa703be4effbcb97e1dfbfcc621",
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"sha256:463d63ca5d8c236788284a9a44b9715372a64d5318a6b5eee36815df1ea0ba3d",
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"sha256:4d0c0ffd732466ff324ced144fad55ed5deca36f6036c1d8f04cec69b084c9d6",
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"sha256:4ff2a765f4861fc018827eab4df1992f7508d06c62de5d2fe8a6ac2233d4f1d0",
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"sha256:53abf19b7dc62795c67b8d0a3d8ef866db166b21017632fff2624cf8fbf3481c",
|
||||
"sha256:5552d7be37d878e9b6359bbffa0512d857bb9703616a4c0656b49c10739d5971",
|
||||
"sha256:585810056a8adacd3152945ebfcd25deb58335d41f16ae4e0f3d768918957f9a",
|
||||
"sha256:5942b1d6ba447cff1ec23a21ec525dde2288f00464950bc647f4e0f03bd537d1",
|
||||
"sha256:5c355c99be5bb23e85d899b059a4f22fdf8a0741c57e7029425ee63eb436f689",
|
||||
"sha256:5f61df4fe07864561f49b45c8bd4d2c42e3f03d2872ed05c844902a58b875028",
|
||||
"sha256:665942d3a954c3e4c976581715f57fb3b86f4cf6bae3ac30b133f8ff777ac6c7",
|
||||
"sha256:68368e908f14887fb202a81960bfbe3a02d97e6d3fa62b821556463084ffb131",
|
||||
"sha256:6aac94ff957b5dea0216af71ab59c602e1b947b394e4f5e878a5a65643090038",
|
||||
"sha256:889934aa8d72b6bfc46babd1dc4b817a56c97ec0f4a10ae7551fb60ab1f96fae",
|
||||
"sha256:a00550757fca1b9cbc479f8eb1cf3514dbc0103b3f76eae46341c26ddcca67a9",
|
||||
"sha256:a4a2d6ed0515c05afd5cc435361ced0baabd9ba4536ddfe8ad9a95bcb702c8ce",
|
||||
"sha256:a8dd92fd76a61af2abc8ccad0c6c6069b3c4ebd4727ecc9a7c33aae37651c8c7",
|
||||
"sha256:ab81f9ff3e3c2ca65e824454214c10985a846cd9bee5f4d04e15cd875d9fe13b",
|
||||
"sha256:ac10196b8cde7a082e4e371ff171407270d3337c8d57ed43030094eb01d9c95c",
|
||||
"sha256:b767930af686551dc96a5eb70af3736709d547ffa275c11a5e820bfb3ae61d8d",
|
||||
"sha256:b9a1f4d256b81f59ba87bb7a29b9b38b1c018e052dba60a543cb0ddb5062d159",
|
||||
"sha256:ba94c08321b5d345100fc64eb1ab235f42faf9aabba805cface55ebe677f1c2c",
|
||||
"sha256:bab71f73001cd15723c4e2ca398f2f48e0a3f584c619eefddb1525e8986e06eb",
|
||||
"sha256:bce5cf2b0f0b29680396c5c98ab39a011bd70f2dfa8b8a6811a69ee6d920cf9f",
|
||||
"sha256:c02e514c72e745e49a3ae7e672a1018ba9b68460c21e0361054e956e5d595bc6",
|
||||
"sha256:c3fb459ced6c5e3b2a895f23f1400f93e9b24d85c30fbe2d637d4f7706a1116b",
|
||||
"sha256:cd31ab223e43ac64fd23f8f5dad249addadac2a459f040546200acbf7e84e353",
|
||||
"sha256:ce70aa089ec589b5d5fab388af9f8c9f9dfe8fe4ad844820a92eb240d8628ddf",
|
||||
"sha256:d47b2e1ad1429da9aa459ef189fbcd8a74ec28a16bc4c3f5f3cf3f88e36535eb",
|
||||
"sha256:d61bad421c1f496f9fb6114dbd7c30a1dac0e9ff90e9be06f4472cbd8f7a1704",
|
||||
"sha256:d7ba2e5cb119eddbc10874b41047ad99525e39e397f7aef500e6da0d6f46ab91",
|
||||
"sha256:dde0ab052c7a1deee8d13d72c37f2afecee30ebdf6eb139790157eaddf04dd61",
|
||||
"sha256:df34b52aa50a38d7a79f3abc9fda7e400791447aa0400ed895f275f6d8b0bb1f",
|
||||
"sha256:e0fc20e6e6b298861035a5fc5dcf9fbaa0546318e8bda81112591861a7dcc28f",
|
||||
"sha256:e20d5e8dc76b73db9280464d6e81bea05e51a99f4d4dd29c5f78dc79f294a5d3",
|
||||
"sha256:e31d1a33dc9006b278f72cb0aacfe397606c2693aa2fdc0c2f2dcddbad9e0b53",
|
||||
"sha256:e3a99f890f2cc5535e1b3a90049c6ca9ff9da9ec251cc130c8d269997f9d32ee",
|
||||
"sha256:e7b192c3df761d0fdd17c2d42d41c28460f124f5922e8bd524018f1d35610682",
|
||||
"sha256:ed0f4fad4c3656e34d20323a789b6a2d210a6bb82647d9c86dded372f55c58a1",
|
||||
"sha256:f34ec09702be907727fd479046193725441aaaf7ed4636ca042734f469bb7451",
|
||||
"sha256:f3530c0ec1fc98c43d5b7061781a8c55bd0db44f789f8152e19d9526cbed6021",
|
||||
"sha256:f5672082576d0e9f52fa0fa732ff57254d65faeb4a471bc339fe54b58b3e79d2",
|
||||
"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"
|
||||
},
|
||||
"jmespath": {
|
||||
"hashes": [
|
||||
"sha256:02e2e4cc71b5bcab88332eebf907519190dd9e6e82107fa7f83b1003a6252980",
|
||||
"sha256:90261b206d6defd58fdd5e85f478bf633a2901798906be2ad389150c5c60edbe"
|
||||
],
|
||||
"markers": "python_version >= '3.7'",
|
||||
"version": "==1.0.1"
|
||||
},
|
||||
"pymysql": {
|
||||
"hashes": [
|
||||
"sha256:4f13a7df8bf36a51e81dd9f3605fede45a4878fe02f9236349fd82a3f0612f96",
|
||||
"sha256:8969ec6d763c856f7073c4c64662882675702efcb114b4bcbb955aea3a069fa7"
|
||||
],
|
||||
"index": "pypi",
|
||||
"version": "==1.1.0"
|
||||
},
|
||||
"python-dateutil": {
|
||||
"hashes": [
|
||||
"sha256:0123cacc1627ae19ddf3c27a5de5bd67ee4586fbdd6440d9748f8abb483d3e86",
|
||||
"sha256:961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9"
|
||||
],
|
||||
"markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3'",
|
||||
"version": "==2.8.2"
|
||||
},
|
||||
"s3transfer": {
|
||||
"hashes": [
|
||||
"sha256:3c0da2d074bf35d6870ef157158641178a4204a6e689e82546083e31e0311346",
|
||||
"sha256:640bb492711f4c0c0905e1f62b6aaeb771881935ad27884852411f8e9cacbca9"
|
||||
],
|
||||
"markers": "python_version >= '3.7'",
|
||||
"version": "==0.6.1"
|
||||
},
|
||||
"six": {
|
||||
"hashes": [
|
||||
"sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926",
|
||||
"sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"
|
||||
],
|
||||
"markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3'",
|
||||
"version": "==1.16.0"
|
||||
},
|
||||
"sqlalchemy": {
|
||||
"hashes": [
|
||||
"sha256:04383f1e3452f6739084184e427e9d5cb4e68ddc765d52157bf5ef30d5eca14f",
|
||||
"sha256:125f9f7e62ddf8b590c069729080ffe18b68a20d9882eb0947f72e06274601d7",
|
||||
"sha256:1822620c89779b85f7c23d535c8e04b79c517739ae07aaed48c81e591ed5498e",
|
||||
"sha256:21583808d37f126a647652c90332ac1d3a102edf3c94bcc3319edcc0ea2300cc",
|
||||
"sha256:218fb20c01e95004f50a3062bf4c447dcb360cab8274232f31947e254f118298",
|
||||
"sha256:2269b1f9b8be47e52b70936069a25a3771eff53367aa5cc59bb94f28a6412e13",
|
||||
"sha256:234678ed6576531b8e4be255b980f20368bf07241a2e67b84e6b0fe679edb9c4",
|
||||
"sha256:28da17059ecde53e2d10ba813d38db942b9f6344360b2958b25872d5cb729d35",
|
||||
"sha256:2c6ff5767d954f6091113fedcaaf49cdec2197ae4c5301fe83d5ae4393c82f33",
|
||||
"sha256:36a87e26fe8fa8c466fae461a8fcb780d0a1cbf8206900759fc6fe874475a3ce",
|
||||
"sha256:394ac3adf3676fad76d4b8fcecddf747627f17f0738dc94bac15f303d05b03d4",
|
||||
"sha256:40a3dc52b2b16f08b5c16b9ee7646329e4b3411e9280e5e8d57b19eaa51cbef4",
|
||||
"sha256:48111d56afea5699bab72c38ec95561796b81befff9e13d1dd5ce251ab25f51d",
|
||||
"sha256:48b40dc2895841ea89d89df9eb3ac69e2950a659db20a369acf4259f68e6dc1f",
|
||||
"sha256:513411d73503a6fc5804f01fae3b3d44f267c1b3a06cfeac02e9286a7330e857",
|
||||
"sha256:51736cfb607cf4e8fafb693906f9bc4e5ee55be0b096d44bd7f20cd8489b8571",
|
||||
"sha256:5f40e3a7d0a464f1c8593f2991e5520b2f5b26da24e88000bbd4423f86103d4f",
|
||||
"sha256:6150560fcffc6aee5ec9a97419ac768c7a9f56baf7a7eb59cb4b1b6a4d463ad9",
|
||||
"sha256:724355973297bbe547f3eb98b46ade65a67a3d5a6303f17ab59a2dc6fb938943",
|
||||
"sha256:74ddcafb6488f382854a7da851c404c394be3729bb3d91b02ad86c5458140eff",
|
||||
"sha256:7830e01b02d440c27f2a5be68296e74ccb55e6a5b5962ffafd360b98930b2e5e",
|
||||
"sha256:7f31d4e7ca1dd8ca5a27fd5eaa0f9e2732fe769ff7dd35bf7bba179597e4df07",
|
||||
"sha256:8741d3d401383e54b2aada37cbd10f55c5d444b360eae3a82f74a2be568a7710",
|
||||
"sha256:910d45bf3673f0e4ef13858674bd23cfdafdc8368b45b948bf511797dbbb401d",
|
||||
"sha256:aa995b21f853864996e4056d9fde479bcecf8b7bff4beb3555eebbbba815f35d",
|
||||
"sha256:af7e2ba75bf84b64adb331918188dda634689a2abb151bc1a583e488363fd2f8",
|
||||
"sha256:b0eaf82cc844f6b46defe15ad243ea00d1e39ed3859df61130c263dc7204da6e",
|
||||
"sha256:b114a16bc03dfe20b625062e456affd7b9938286e05a3f904a025b9aacc29dd4",
|
||||
"sha256:b47be4c6281a86670ea5cfbbbe6c3a65366a8742f5bc8b986f790533c60b5ddb",
|
||||
"sha256:ba03518e64d86f000dc24ab3d3a1aa876bcbaa8aa15662ac2df5e81537fa3394",
|
||||
"sha256:cc9c2630c423ac4973492821b2969f5fe99d9736f3025da670095668fbfcd4d5",
|
||||
"sha256:cf07ff9920cb3ca9d73525dfd4f36ddf9e1a83734ea8b4f724edfd9a2c6e82d9",
|
||||
"sha256:cf175d26f6787cce30fe6c04303ca0aeeb0ad40eeb22e3391f24b32ec432a1e1",
|
||||
"sha256:d0aeb3afaa19f187a70fa592fbe3c20a056b57662691fd3abf60f016aa5c1848",
|
||||
"sha256:e186e9e95fb5d993b075c33fe4f38a22105f7ce11cecb5c17b5618181e356702",
|
||||
"sha256:e2d5c3596254cf1a96474b98e7ce20041c74c008b0f101c1cb4f8261cb77c6d3",
|
||||
"sha256:e3189432db2f5753b4fde1aa90a61c69976f4e7e31d1cf4611bfe3514ed07478",
|
||||
"sha256:e3a6b2788f193756076061626679c5c5a6d600ddf8324f986bc72004c3e9d92e",
|
||||
"sha256:ead58cae2a089eee1b0569060999cb5f2b2462109498a0937cc230a7556945a1",
|
||||
"sha256:f2f389f77c68dc22cb51f026619291c4a38aeb4b7ecb5f998fd145b2d81ca513",
|
||||
"sha256:f593170fc09c5abb1205a738290b39532f7380094dc151805009a07ae0e85330"
|
||||
],
|
||||
"index": "pypi",
|
||||
"version": "==2.0.17"
|
||||
},
|
||||
"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"
|
||||
},
|
||||
"urllib3": {
|
||||
"hashes": [
|
||||
"sha256:8d36afa7616d8ab714608411b4a3b13e58f463aee519024578e062e141dce20f",
|
||||
"sha256:8f135f6502756bde6b2a9b28989df5fbe87c9970cecaa69041edcce7f0589b14"
|
||||
],
|
||||
"markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4, 3.5'",
|
||||
"version": "==1.26.16"
|
||||
}
|
||||
},
|
||||
"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"
|
||||
}
|
||||
}
|
||||
}
|
||||
48
ecs/jskult-batch-laundering/README.md
Normal file
48
ecs/jskult-batch-laundering/README.md
Normal file
@ -0,0 +1,48 @@
|
||||
# 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）
|
||||
10
ecs/jskult-batch-laundering/entrypoint.py
Normal file
10
ecs/jskult-batch-laundering/entrypoint.py
Normal file
@ -0,0 +1,10 @@
|
||||
"""実消化＆アルトマーク実績洗替処理のエントリーポイント"""
|
||||
from src import jobctrl_laundering
|
||||
|
||||
if __name__ == '__main__':
|
||||
try:
|
||||
exit(jobctrl_laundering.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)
|
||||
0
ecs/jskult-batch-laundering/src/__init__.py
Normal file
0
ecs/jskult-batch-laundering/src/__init__.py
Normal file
0
ecs/jskult-batch-laundering/src/aws/__init__.py
Normal file
0
ecs/jskult-batch-laundering/src/aws/__init__.py
Normal file
95
ecs/jskult-batch-laundering/src/aws/s3.py
Normal file
95
ecs/jskult-batch-laundering/src/aws/s3.py
Normal file
@ -0,0 +1,95 @@
|
||||
import os.path as path
|
||||
import tempfile
|
||||
|
||||
import boto3
|
||||
|
||||
from src.system_var import environment
|
||||
|
||||
|
||||
class S3Client:
|
||||
__s3_client = boto3.client('s3')
|
||||
_bucket_name: str
|
||||
|
||||
def list_objects(self, bucket_name: str, folder_name: str):
|
||||
response = self.__s3_client.list_objects_v2(Bucket=bucket_name, Prefix=folder_name)
|
||||
if response['KeyCount'] == 0:
|
||||
return []
|
||||
contents = response['Contents']
|
||||
# 末尾がスラッシュで終わるものはフォルダとみなしてスキップする
|
||||
objects = [{'filename': content['Key'], 'size': content['Size']} for content in contents if not content['Key'].endswith('/')]
|
||||
return objects
|
||||
|
||||
def copy(self, src_bucket: str, src_key: str, dest_bucket: str, dest_key: str) -> None:
|
||||
copy_source = {'Bucket': src_bucket, 'Key': src_key}
|
||||
self.__s3_client.copy(copy_source, dest_bucket, dest_key)
|
||||
return
|
||||
|
||||
def download_file(self, bucket_name: str, file_key: str, file):
|
||||
self.__s3_client.download_fileobj(
|
||||
Bucket=bucket_name,
|
||||
Key=file_key,
|
||||
Fileobj=file
|
||||
)
|
||||
return
|
||||
|
||||
def upload_file(self, local_file_path: str, bucket_name: str, file_key: str):
|
||||
self.__s3_client.upload_file(
|
||||
local_file_path,
|
||||
Bucket=bucket_name,
|
||||
Key=file_key
|
||||
)
|
||||
|
||||
def delete_file(self, bucket_name: str, file_key: str):
|
||||
self.__s3_client.delete_object(
|
||||
Bucket=bucket_name,
|
||||
Key=file_key
|
||||
)
|
||||
|
||||
|
||||
class S3Bucket():
|
||||
_s3_client = S3Client()
|
||||
_bucket_name: str = None
|
||||
|
||||
|
||||
class ConfigBucket(S3Bucket):
|
||||
_bucket_name = environment.JSKULT_CONFIG_BUCKET
|
||||
|
||||
def download_arisj_output_day_list(self):
|
||||
# 一時ファイルとして保存する
|
||||
temporary_dir = tempfile.mkdtemp()
|
||||
temporary_file_path = path.join(temporary_dir, environment.JSKULT_CONFIG_CALENDAR_ARISJ_OUTPUT_DAY_LIST_FILE_NAME)
|
||||
arisj_output_day_list_key = f'{environment.JSKULT_CONFIG_CALENDAR_FOLDER}/{environment.JSKULT_CONFIG_CALENDAR_ARISJ_OUTPUT_DAY_LIST_FILE_NAME}'
|
||||
with open(temporary_file_path, mode='wb') as f:
|
||||
self._s3_client.download_file(self._bucket_name, arisj_output_day_list_key, f)
|
||||
f.seek(0)
|
||||
return temporary_file_path
|
||||
|
||||
|
||||
class ArisjBucket(S3Bucket):
|
||||
_bucket_name = environment.ARISJ_DATA_BUCKET
|
||||
_folder = environment.ARISJ_BACKUP_FOLDER
|
||||
|
||||
def upload_arisj_csv_file(self, arisj_create_csv: str, csv_file_path: str):
|
||||
# s3にCSVファイルをUPする
|
||||
Bucket = environment.ARISJ_DATA_BUCKET
|
||||
folder = environment.ARISJ_DATA_FOLDER
|
||||
csv_file_name = f'{folder}/{arisj_create_csv}'
|
||||
s3_client = S3Client()
|
||||
s3_client.upload_file(csv_file_path, Bucket, csv_file_name)
|
||||
return
|
||||
|
||||
def backup_arisj_csv_file(self, dat_file_key: str, datetime_key: str):
|
||||
# バックアップバケットにコピー
|
||||
arisj_backup_bucket = ArisjBackupBucket()
|
||||
folder = environment.ARISJ_DATA_FOLDER
|
||||
dat_file_key = f'{folder}/{dat_file_key}'
|
||||
backup_key = f'{arisj_backup_bucket._folder}/{datetime_key}/{dat_file_key.replace(f"{self._folder}/", "")}'
|
||||
self._s3_client.copy(self._bucket_name, dat_file_key, arisj_backup_bucket._bucket_name, backup_key)
|
||||
|
||||
|
||||
class JskUltBackupBucket(S3Bucket):
|
||||
_bucket_name = environment.JSKULT_BACKUP_BUCKET
|
||||
|
||||
|
||||
class ArisjBackupBucket(JskUltBackupBucket):
|
||||
_folder = environment.ARISJ_BACKUP_FOLDER
|
||||
51
ecs/jskult-batch-laundering/src/batch/batch_functions.py
Normal file
51
ecs/jskult-batch-laundering/src/batch/batch_functions.py
Normal file
@ -0,0 +1,51 @@
|
||||
"""バッチ処理の共通関数"""
|
||||
import logging
|
||||
import textwrap
|
||||
from datetime import datetime
|
||||
|
||||
from src.db.database import Database
|
||||
from src.error.exceptions import BatchOperationException, DBException
|
||||
|
||||
|
||||
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
|
||||
- 処理日（YYYY/MM/DD）
|
||||
|
||||
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]処理日
|
||||
"""
|
||||
db = Database.get_instance()
|
||||
sql = 'SELECT bch_actf, src05.get_syor_date() AS syor_date 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']
|
||||
syor_date = hdke_tbl_record['syor_date']
|
||||
# 処理日を文字列に変換する
|
||||
syor_date_str = datetime.strftime(syor_date, '%Y/%m/%d')
|
||||
|
||||
return batch_processing_flag, syor_date_str
|
||||
|
||||
|
||||
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}')
|
||||
@ -0,0 +1,29 @@
|
||||
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
|
||||
@ -0,0 +1,32 @@
|
||||
from src.system_var import constants
|
||||
|
||||
|
||||
class CalendarFile:
|
||||
"""カレンダーファイル"""
|
||||
|
||||
__calendar_file_lines: list[str]
|
||||
|
||||
def __init__(self, calendar_file_path):
|
||||
with open(calendar_file_path) as f:
|
||||
self.__calendar_file_lines: list[str] = f.readlines()
|
||||
|
||||
def compare_date(self, date_str: str) -> bool:
|
||||
"""与えられた日付がカレンダーファイル内に含まれているかどうか
|
||||
カレンダーファイル内の日付はyyyy/mm/ddで書かれている前提
|
||||
コメント（#）が含まれている行は無視される
|
||||
|
||||
Args:
|
||||
date_str (str): yyyy/mm/dd文字列
|
||||
|
||||
Returns:
|
||||
bool: 含まれていればTrue
|
||||
"""
|
||||
for calendar_date in self.__calendar_file_lines:
|
||||
# コメント行が含まれている場合はスキップ
|
||||
if constants.CALENDAR_COMMENT_SYMBOL in calendar_date:
|
||||
continue
|
||||
|
||||
if date_str in calendar_date:
|
||||
return True
|
||||
|
||||
return False
|
||||
@ -0,0 +1,31 @@
|
||||
from src.db.database import Database
|
||||
from src.error.exceptions import BatchOperationException
|
||||
from src.logging.get_logger import get_logger
|
||||
|
||||
logger = get_logger('洗替用マスタ作成')
|
||||
|
||||
|
||||
def exec():
|
||||
db = Database.get_instance()
|
||||
|
||||
try:
|
||||
db.connect()
|
||||
|
||||
logger.debug('処理開始')
|
||||
call_v_inst_merge_t_create(db)
|
||||
call_inst_merge_t_create(db)
|
||||
logger.debug('処理終了')
|
||||
except Exception as e:
|
||||
raise BatchOperationException(e)
|
||||
finally:
|
||||
db.disconnect()
|
||||
|
||||
|
||||
def call_v_inst_merge_t_create(db: Database):
|
||||
db.execute('CALL src05.v_inst_merge_t_create()')
|
||||
return
|
||||
|
||||
|
||||
def call_inst_merge_t_create(db: Database):
|
||||
db.execute('CALL src05.inst_merge_t_create()')
|
||||
return
|
||||
@ -0,0 +1,153 @@
|
||||
from src.batch.batch_functions import logging_sql
|
||||
from src.db.database import Database
|
||||
from src.error.exceptions import BatchOperationException
|
||||
from src.logging.get_logger import get_logger
|
||||
from src.system_var import environment
|
||||
|
||||
|
||||
logger = get_logger('卸販売実績全件洗替')
|
||||
|
||||
|
||||
def exec():
|
||||
db = Database.get_instance()
|
||||
try:
|
||||
db.connect()
|
||||
logger.debug('処理開始')
|
||||
# 卸販売実績テーブル（洗替後）作成
|
||||
_call_sales_lau_upsert(db)
|
||||
# １：卸組織洗替
|
||||
_call_whs_org_laundering(db)
|
||||
# ３：HCO施設コードの洗替
|
||||
_update_sales_lau_from_vop_hco_merge_v(db)
|
||||
# ４：メルク施設コードの洗替
|
||||
_update_mst_inst_laundering(db)
|
||||
logger.debug('処理終了')
|
||||
except Exception as e:
|
||||
raise BatchOperationException(e)
|
||||
finally:
|
||||
db.disconnect()
|
||||
|
||||
|
||||
def _call_sales_lau_upsert(db: Database):
|
||||
# 卸販売実績テーブル（洗替後）作成
|
||||
logger.info('sales_lau_upsert(プロシージャ―) 開始')
|
||||
db.execute(f"""
|
||||
CALL src05.sales_lau_upsert(
|
||||
'{environment.SALES_LAUNDERING_TARGET_TABLE_NAME}',
|
||||
(src05.get_syor_date() - interval {environment.SALES_LAUNDERING_EXTRACT_DATE_PERIOD} day),
|
||||
src05.get_syor_date()
|
||||
)
|
||||
""")
|
||||
logger.info('sales_lau_upsert(プロシージャ―) 終了')
|
||||
return
|
||||
|
||||
|
||||
def _call_whs_org_laundering(db: Database):
|
||||
# 卸組織洗替
|
||||
logger.info('whs_org_laundering(プロシージャ―) 開始')
|
||||
db.execute(f"""
|
||||
CALL src05.whs_org_laundering(
|
||||
'{environment.SALES_LAUNDERING_TARGET_TABLE_NAME}'
|
||||
)
|
||||
""")
|
||||
logger.info('whs_org_laundering(プロシージャ―) 終了')
|
||||
return
|
||||
|
||||
|
||||
def _update_sales_lau_from_vop_hco_merge_v(db: Database):
|
||||
# HCO施設コードの洗替
|
||||
if _count_v_inst_merge_t(db) == 0:
|
||||
logger.info('V施設統合マスタ(洗替処理一時テーブル)にデータは存在しません')
|
||||
return
|
||||
|
||||
_call_v_inst_merge_laundering(db)
|
||||
return
|
||||
|
||||
|
||||
def _count_v_inst_merge_t(db: Database) -> int:
|
||||
# V施設統合マスタ(洗替処理一時テーブル)のデータ件数の取得
|
||||
try:
|
||||
sql = """
|
||||
SELECT
|
||||
COUNT(v_inst_cd) AS cnt
|
||||
FROM
|
||||
internal05.v_inst_merge_t
|
||||
"""
|
||||
result = db.execute_select(sql)
|
||||
logging_sql(logger, sql)
|
||||
logger.info('V施設統合マスタ(洗替処理一時テーブル)のデータ件数の取得 成功')
|
||||
except Exception as e:
|
||||
logger.debug('V施設統合マスタ(洗替処理一時テーブル)のデータ件数の取得 失敗')
|
||||
raise e
|
||||
|
||||
return result[0]['cnt']
|
||||
|
||||
|
||||
def _call_v_inst_merge_laundering(db: Database):
|
||||
# HCO施設コードの洗替(プロシージャ―の呼び出し)
|
||||
logger.info('v_inst_merge_laundering(プロシージャ―) 開始')
|
||||
db.execute(f"""
|
||||
CALL src05.v_inst_merge_laundering(
|
||||
'{environment.SALES_LAUNDERING_TARGET_TABLE_NAME}'
|
||||
)
|
||||
""")
|
||||
logger.info('v_inst_merge_laundering(プロシージャ―) 終了')
|
||||
return
|
||||
|
||||
|
||||
def _update_mst_inst_laundering(db: Database):
|
||||
# メルク施設コードの洗替
|
||||
_call_hco_to_mdb_laundering(db)
|
||||
_update_sales_lau_from_dcf_inst_merge(db)
|
||||
|
||||
|
||||
def _call_hco_to_mdb_laundering(db: Database):
|
||||
# A:医療機関のデータはMDB変換表からHCO⇒DCFへ変換
|
||||
logger.info('hco_to_mdb_laundering(プロシージャ―) 開始')
|
||||
db.execute(f"""
|
||||
CALL src05.hco_to_mdb_laundering(
|
||||
'{environment.SALES_LAUNDERING_TARGET_TABLE_NAME}'
|
||||
)
|
||||
""")
|
||||
logger.info('hco_to_mdb_laundering(プロシージャ―) 終了')
|
||||
return
|
||||
|
||||
|
||||
def _update_sales_lau_from_dcf_inst_merge(db: Database):
|
||||
# B:DCF施設統合マスタがある場合は、コードを変換し、住所等をSETする
|
||||
if _count_inst_merge_t(db) == 0:
|
||||
logger.info('アルトマーク施設統合マスタ(洗替処理一時テーブル)にデータは存在しません')
|
||||
return
|
||||
_call_inst_merge_laundering(db)
|
||||
return
|
||||
|
||||
|
||||
def _count_inst_merge_t(db: Database) -> int:
|
||||
# アルトマーク施設統合マスタ(洗替処理一時テーブル)のデータ件数の取得
|
||||
try:
|
||||
sql = """
|
||||
SELECT
|
||||
COUNT(dcf_dsf_inst_cd) AS cnt
|
||||
FROM
|
||||
internal05.inst_merge_t
|
||||
"""
|
||||
result = db.execute_select(sql)
|
||||
logging_sql(logger, sql)
|
||||
logger.info('アルトマーク施設統合マスタ(洗替処理一時テーブル)のデータ件数の取得 成功')
|
||||
except Exception as e:
|
||||
logger.debug('アルトマーク施設統合マスタ(洗替処理一時テーブル)のデータ件数の取得 失敗')
|
||||
raise e
|
||||
|
||||
return result[0]['cnt']
|
||||
|
||||
|
||||
def _call_inst_merge_laundering(db: Database):
|
||||
# B:DCF施設統合マスタがある場合は、コードを変換し、住所等をSETする(プロシージャ―の呼び出し)
|
||||
logger.info('inst_merge_laundering(プロシージャ―) 開始')
|
||||
db.execute(f"""
|
||||
CALL src05.inst_merge_laundering(
|
||||
'{environment.SALES_LAUNDERING_TARGET_TABLE_NAME}'
|
||||
)
|
||||
""")
|
||||
logger.info('inst_merge_laundering(プロシージャ―) 終了')
|
||||
return
|
||||
0
ecs/jskult-batch-laundering/src/db/__init__.py
Normal file
0
ecs/jskult-batch-laundering/src/db/__init__.py
Normal file
179
ecs/jskult-batch-laundering/src/db/database.py
Normal file
179
ecs/jskult-batch-laundering/src/db/database.py
Normal file
@ -0,0 +1,179 @@
|
||||
from sqlalchemy import (Connection, CursorResult, Engine, QueuePool,
|
||||
create_engine, text)
|
||||
from sqlalchemy.engine.url import URL
|
||||
from src.error.exceptions import DBException
|
||||
from src.logging.get_logger import get_logger
|
||||
from src.system_var import environment
|
||||
from tenacity import retry, stop_after_attempt, wait_exponential
|
||||
|
||||
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),
|
||||
retry_error_cls=DBException
|
||||
)
|
||||
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
|
||||
0
ecs/jskult-batch-laundering/src/error/__init__.py
Normal file
0
ecs/jskult-batch-laundering/src/error/__init__.py
Normal file
10
ecs/jskult-batch-laundering/src/error/exceptions.py
Normal file
10
ecs/jskult-batch-laundering/src/error/exceptions.py
Normal file
@ -0,0 +1,10 @@
|
||||
class MeDaCaException(Exception):
|
||||
pass
|
||||
|
||||
|
||||
class DBException(MeDaCaException):
|
||||
pass
|
||||
|
||||
|
||||
class BatchOperationException(MeDaCaException):
|
||||
pass
|
||||
23
ecs/jskult-batch-laundering/src/jobctrl_laundering.py
Normal file
23
ecs/jskult-batch-laundering/src/jobctrl_laundering.py
Normal file
@ -0,0 +1,23 @@
|
||||
"""実消化＆アルトマーク実績洗替処理"""
|
||||
from src.batch.batch_functions import get_batch_statuses
|
||||
from src.batch.common.batch_context import BatchContext
|
||||
from src.error.exceptions import BatchOperationException
|
||||
from src.logging.get_logger import get_logger
|
||||
from src.system_var import constants
|
||||
from src.batch.laundering import (sales_results_laundering,
|
||||
create_inst_merge_for_laundering)
|
||||
|
||||
logger = get_logger('実消化＆アルトマーク実績洗替処理')
|
||||
|
||||
|
||||
def exec():
|
||||
try:
|
||||
logger.debug('処理開始')
|
||||
# 洗替用マスタ作成
|
||||
create_inst_merge_for_laundering.exec()
|
||||
# 卸販売実績全件洗替
|
||||
sales_results_laundering.exec()
|
||||
logger.debug('処理終了')
|
||||
except BatchOperationException as e:
|
||||
logger.exception(f'（異常終了）{e}')
|
||||
return constants.BATCH_EXIT_CODE_SUCCESS
|
||||
37
ecs/jskult-batch-laundering/src/logging/get_logger.py
Normal file
37
ecs/jskult-batch-laundering/src/logging/get_logger.py
Normal file
@ -0,0 +1,37 @@
|
||||
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
|
||||
8
ecs/jskult-batch-laundering/src/system_var/constants.py
Normal file
8
ecs/jskult-batch-laundering/src/system_var/constants.py
Normal file
@ -0,0 +1,8 @@
|
||||
# バッチ正常終了コード
|
||||
BATCH_EXIT_CODE_SUCCESS = 0
|
||||
|
||||
# バッチ処理中フラグ：処理中
|
||||
BATCH_ACTF_BATCH_IN_PROCESSING = '1'
|
||||
|
||||
# カレンダーファイルのコメントシンボル
|
||||
CALENDAR_COMMENT_SYMBOL = '#'
|
||||
25
ecs/jskult-batch-laundering/src/system_var/environment.py
Normal file
25
ecs/jskult-batch-laundering/src/system_var/environment.py
Normal file
@ -0,0 +1,25 @@
|
||||
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']
|
||||
JSKULT_CONFIG_CALENDAR_FOLDER = os.environ['JSKULT_CONFIG_CALENDAR_FOLDER']
|
||||
|
||||
# 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))
|
||||
|
||||
# 連携データ抽出期間
|
||||
SALES_LAUNDERING_EXTRACT_DATE_PERIOD = int(os.environ['SALES_LAUNDERING_EXTRACT_DATE_PERIOD'])
|
||||
# 洗替対象テーブル名
|
||||
SALES_LAUNDERING_TARGET_TABLE_NAME = os.environ['SALES_LAUNDERING_TARGET_TABLE_NAME']
|
||||
22
ecs/jskult-batch-laundering/src/time/elapsed_time.py
Normal file
22
ecs/jskult-batch-laundering/src/time/elapsed_time.py
Normal file
@ -0,0 +1,22 @@
|
||||
import time
|
||||
|
||||
|
||||
class ElapsedTime:
|
||||
"""処理実行時間計測クラス"""
|
||||
def __init__(self) -> None:
|
||||
"""このクラスの新たなインスタンスを初期化します。"""
|
||||
self.__start = time.perf_counter()
|
||||
|
||||
@property
|
||||
def of(self):
|
||||
"""インスタンス化してからの経過時間をhh:mm:ssの形式にフォーマットして返す
|
||||
Returns:
|
||||
str: 時分秒形式の経過時間
|
||||
"""
|
||||
elapsed_time = time.perf_counter() - self.__start
|
||||
h, rem = divmod(elapsed_time, 3600)
|
||||
m, s = divmod(rem, 60)
|
||||
h_str = f'{h:02.0f} hour ' if h > 0.0 else ''
|
||||
m_str = f'{m:02.0f} min ' if m > 0.0 else ''
|
||||
s_str = f'{s:06.02f} sec' if s > 0.0 else ''
|
||||
return f"{h_str}{m_str}{s_str}"
|
||||
Loading…
x
Reference in New Issue
Block a user