Merge branch 'develop' into feature-NEWDWH2021-1011-COM_NURSE_ASSRT

# Conflicts:
#	ecs/jskult-batch-daily/src/batch/ultmarc/utmp_tables/ultmarc_table_mapper_factory.py

ecs/jskult-batch-daily/src/batch/jissekiaraigae.py

@@ -0,0 +1,14 @@
+from src.batch.datachange import emp_chg_inst_lau
+from src.batch.datachange import create_inst_merge_for_laundering
+from src.logging.get_logger import get_logger
+
+logger = get_logger('実績洗替')
+
+
+def batch_process():
+    """実績洗替処理"""
+    logger.info('Start Jisseki Araigae Batch PGM.')
+    # 洗替用マスタ作成
+    create_inst_merge_for_laundering.batch_process()
+    # 施設担当者洗替
+    emp_chg_inst_lau.batch_process()

ecs/jskult-batch-daily/src/batch/laundering/create_inst_merge_for_laundering.py

@@ -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 batch_process():
+    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

ecs/jskult-batch-daily/src/batch/ultmarc/utmp_tables/table_mapper/concrete/com_forfront_med_equip_mapper.py

@@ -0,0 +1,96 @@
+from src.batch.ultmarc.utmp_tables.table_mapper.ultmarc_table_mapper import \
+    UltmarcTableMapper
+
+from src.batch.ultmarc.utmp_tables.tables.com_forfront_med_equip import ComForfrontMedEquip
+
+
+class ComForfrontMedEquipMapper(UltmarcTableMapper):
+    """レイアウト区分022: COM_先端医療機器 登録処理 """
+
+    # レコード存在確認SQL
+    RECORD_EXISTS_QUERY = """\
+    SELECT
+        COUNT(*) AS count_num
+    FROM
+        src05.com_forfront_med_equip
+    WHERE
+        forfront_med_equip_cd = :hi_medicmach_code
+    """
+    # データ登録用SQL
+    INSERT_QUERY = """\
+    INSERT INTO src05.com_forfront_med_equip
+    (
+        forfront_med_equip_cd,
+        forfront_med_equip_name,
+        regist_ymd,
+        delete_ymd,
+        sys_regist_date,
+        regist_prgm_id,
+        sys_update_date,
+        update_prgm_id
+    )
+    VALUES (
+        :hi_medicmach_code,
+        :hi_medicmach_name,
+        :execute_date_str_ymd,
+        NULL,
+        :execute_datetime,
+        :program_name,
+        :execute_datetime,
+        :program_name
+    )
+    """
+    # 更新用SQL
+    UPDATE_QUERY = """\
+    UPDATE src05.com_forfront_med_equip
+    SET
+        forfront_med_equip_name = :hi_medicmach_name,
+        update_ymd = :execute_date_str_ymd,
+        sys_update_date = :execute_datetime,
+        update_prgm_id = :program_name
+    WHERE
+        forfront_med_equip_cd = :hi_medicmach_code
+    """
+
+    # 修正区分が「C(削除)」の場合の更新SQL
+    # 削除年月日 ← システム日付
+    LOGICAL_DELETE_QUERY = """\
+    UPDATE
+        src05.com_forfront_med_equip
+    SET
+        delete_ymd = :execute_date_str_ymd,
+        sys_update_date = :execute_datetime,
+        update_prgm_id = :program_name
+    WHERE
+        forfront_med_equip_cd = :hi_medicmach_code
+    """
+    record: ComForfrontMedEquip
+
+    def __init__(self, record: list[str], db) -> None:
+        super().__init__(record, db, ComForfrontMedEquip)
+        program_name = __name__.split('.')[-1]  # 当モジュール名(現行から変わっている)
+        # モジュール名をクエリパラメータに設定
+        self.query_parameter['program_name'] = program_name
+        # 読み込んだレコード値もクエリパラメータに追加
+        self.query_parameter = {**self.query_parameter, **self.record.to_sql_parameter()}
+
+    def make_query(self):
+        # 修正区分がC(削除)の場合、論理削除
+        if self.record.maint_flag == 'C':
+            self.queries.append(self.LOGICAL_DELETE_QUERY)
+            return
+
+        # レコードの存在確認
+        record_count = self.db.execute_select(self.RECORD_EXISTS_QUERY, self.query_parameter)
+        # 存在しない場合はInsert
+        if record_count[0]['count_num'] == 0:
+            self.queries.append(self.INSERT_QUERY)
+            return
+
+        # 更新の場合
+        if self.record.hi_medicmach_name != '':
+            self.queries.append(self.UPDATE_QUERY)
+            return
+        else:
+            self.queries.append(None)
+            return

ecs/jskult-batch-daily/src/batch/ultmarc/utmp_tables/tables/com_forfront_med_equip.py

@@ -0,0 +1,14 @@
+from src.batch.ultmarc.utmp_tables.tables.ultmarc_table import UltmarcTable
+
+
+class ComForfrontMedEquip(UltmarcTable):
+    """レイアウト区分022: COM_先端医療機器"""
+    hi_medicmach_code: str      # 先進医療機器コード
+    hi_medicmach_name: str      # 先端医療機器名
+    maint_flag: str             # 修正区分
+
+    def __init__(self, record: list[str]):
+        super().__init__(record)
+        self.hi_medicmach_code = record[1]
+        self.hi_medicmach_name = record[5]
+        self.maint_flag = record[2]

ecs/jskult-batch-daily/src/batch/ultmarc/utmp_tables/ultmarc_table_mapper_factory.py

@@ -1,6 +1,7 @@
 from src.batch.ultmarc.utmp_tables.table_mapper.concrete import (
     com_alma_mapper, com_dr_wrkplace_mapper, com_hamtec_mapper,
-    com_inst_mapper, com_nurse_assrt_mapper, null_mapper)
+    com_inst_mapper, com_forfront_med_equip_mapper, com_nurse_assrt_mapper, null_mapper)
+
 from src.batch.ultmarc.utmp_tables.table_mapper.ultmarc_table_mapper import \
     UltmarcTableMapper
 from src.db.database import Database
@@ -60,7 +61,7 @@ COM_TABLE_LIST = {
     # COM_高度先進医療
     "021": com_hamtec_mapper.ComHamtecMapper,
     # COM_先端医療機器
-    "022": null_mapper.NullMapper,
+    "022": com_forfront_med_equip_mapper.ComForfrontMedEquipMapper,
     # COM_看護種別
     "023": com_nurse_assrt_mapper.ComNurseAssrtMapper,
     # COM_医療機能評価

ecs/jskult-batch-daily/src/db/database.py

@@ -84,7 +84,7 @@ class Database:
         try:
             self.__connection = self.__engine.connect()
         except Exception as e:
-            raise DBException(f'SQL Error: {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。

ecs/jskult-batch-daily/tests/batch/ultmarc/utmp_tables/table_mapper/com_forfront_med_equip/com_forfront_med_equip_delete.csv

@@ -0,0 +1,7 @@
+"022","11","A","20141113","20141114",""
+"022","12","A","20141113","20141114","Ｘ線ＣＴ"
+"022","13","A","20141113","20141114","ＣＲ"
+"022","14","C","20141113","20141114","血管造影システム"
+"022","15","A","20141113","20141114","アンガー型カメラ"
+"022","16","A","20141113","20141114","ＳＰＥＣＴ"
+"022","99","C",,,"亜居宇絵尾亜居宇絵尾亜居宇絵尾亜居宇絵尾亜居宇絵尾亜居宇絵尾亜居宇絵尾亜居宇絵尾亜居宇絵尾亜居宇絵あ"

ecs/jskult-batch-daily/tests/batch/ultmarc/utmp_tables/table_mapper/com_forfront_med_equip/com_forfront_med_equip_insert.csv

@@ -0,0 +1,7 @@
+"022","11","A","20141113","20141114","ＭＲＩ"
+"022","12","A","20141113","20141114","Ｘ線ＣＴ"
+"022","13","A","20141113","20141114","ＣＲ"
+"022","14","A","20141113","20141114","血管造影システム"
+"022","15","A","20141113","20141114","ＳＰＥＣＴ"
+"022","16","A","20141113","20141114","アンガー型カメラ"
+"022","99","A",,,"亜居宇絵尾亜居宇絵尾亜居宇絵尾亜居宇絵尾亜居宇絵尾亜居宇絵尾亜居宇絵尾亜居宇絵尾亜居宇絵尾亜居宇絵あ"

ecs/jskult-batch-daily/tests/batch/ultmarc/utmp_tables/table_mapper/com_forfront_med_equip/com_forfront_med_equip_update.csv

@@ -0,0 +1,7 @@
+"022","11","B","20141113","20141114",""
+"022","12","B","20141113","20141114","Ｘ線ＣＴ"
+"022","13","B","20141113","20141114","ＣＲ"
+"022","14","B","20141113","20141114","血管造影システム"
+"022","15","B","20141113","20141114","アンガー型カメラ"
+"022","16","B","20141113","20141114","ＳＰＥＣＴ"
+"022","99","B",,,"亜居宇絵尾亜居宇絵尾亜居宇絵尾亜居宇絵尾亜居宇絵尾亜居宇絵尾亜居宇絵尾亜居宇絵尾亜居宇絵尾亜居宇絵あ"

ecs/jskult-batch-daily/tests/batch/ultmarc/utmp_tables/table_mapper/com_forfront_med_equip/db_com_forfront_med_equip_before_delete.csv

@@ -0,0 +1,8 @@
+"forfront_med_equip_cd","forfront_med_equip_name","regist_ymd","update_ymd","delete_ymd","regist_date","create_user","update_date","update_user","sys_regist_date","regist_prgm_id","sys_update_date","update_prgm_id"
+"11","ＭＲＩ","20171023","NULL","NULL","NULL","NULL","NULL","NULL","2017/10/23 15:01:26","clsComForfrontMedEqu","2017/10/23 15:07:41","clsComForfrontMedEqu"
+"12","Ｘ線ＣＴ","20171023","20171023","NULL","NULL","NULL","NULL","NULL","2017/10/23 15:01:26","clsComForfrontMedEqu","2017/10/23 15:10:02","clsComForfrontMedEqu"
+"13","ＣＲ","20171023","20171023","NULL","NULL","NULL","NULL","NULL","2017/10/23 15:01:26","clsComForfrontMedEqu","2017/10/23 15:10:02","clsComForfrontMedEqu"
+"14","血管造影システム","20171023","20171023","NULL","NULL","NULL","NULL","NULL","2017/10/23 15:01:26","clsComForfrontMedEqu","2017/10/23 15:10:02","clsComForfrontMedEqu"
+"15","アンガー型カメラ","20171023","20171023","NULL","NULL","NULL","NULL","NULL","2017/10/23 15:01:26","clsComForfrontMedEqu","2017/10/23 15:10:02","clsComForfrontMedEqu"
+"16","ＳＰＥＣＴ","20171023","20171023","NULL","NULL","NULL","NULL","NULL","2017/10/23 15:01:26","clsComForfrontMedEqu","2017/10/23 15:10:02","clsComForfrontMedEqu"
+"99","亜居宇絵尾亜居宇絵尾亜居宇絵尾亜居宇絵尾亜居宇絵尾亜居宇絵尾亜居宇絵尾亜居宇絵尾亜居宇絵尾亜居宇絵あ","20230420","20230420","NULL","NULL","NULL","NULL","NULL","2023/04/19 00:00:00","com_forfront_med_equip_mapper","2023/04/19 00:00:00","com_forfront_med_equip_mapper"

ecs/jskult-batch-daily/tests/batch/ultmarc/utmp_tables/table_mapper/com_forfront_med_equip/db_com_forfront_med_equip_before_update.csv

@@ -0,0 +1,9 @@
+"forfront_med_equip_cd","forfront_med_equip_name","regist_ymd","update_ymd","delete_ymd","regist_date","create_user","update_date","update_user","sys_regist_date","regist_prgm_id","sys_update_date","update_prgm_id"
+"11","ＭＲＩ","20230421","NULL","NULL","NULL","NULL","NULL","NULL","2023/04/21 10:01:26","clsComForfrontMedEqu","2017/10/23 15:01:26","com_forfront_med_equip_mapper"
+"12","Ｘ線ＣＴ","20230421","NULL","NULL","NULL","NULL","NULL","NULL","2017/10/23 10:01:26","clsComForfrontMedEqu","2017/10/23 15:01:26","com_forfront_med_equip_mapper"
+"13","ＣＲ","20230421","NULL","NULL","NULL","NULL","NULL","NULL","2017/10/23 10:01:26","clsComForfrontMedEqu","2017/10/23 15:01:26","com_forfront_med_equip_mapper"
+"14","血管造影システム","20230421","NULL","NULL","NULL","NULL","NULL","NULL","2017/10/23 15:01:26","clsComForfrontMedEqu","2017/10/23 15:01:26","com_forfront_med_equip_mapper"
+"15","ＳＰＥＣＴ","20230421","NULL","NULL","NULL","NULL","NULL","NULL","2017/10/23 15:01:26","clsComForfrontMedEqu","2017/10/23 15:01:26","com_forfront_med_equip_mapper"
+"16","アンガー型カメラ","20230421","NULL","NULL","NULL","NULL","NULL","NULL","2017/10/23 15:01:26","clsComForfrontMedEqu","2017/10/23 15:01:26","com_forfront_med_equip_mapper"
+"98","亜居宇絵尾亜居宇絵尾亜居宇絵尾亜居宇絵尾亜居宇絵尾亜居宇絵尾亜居宇絵尾亜居宇絵尾亜居宇絵尾亜居宇絵あ","20230421","NULL","NULL","NULL","NULL","NULL","NULL","2023/04/19 00:00:00","com_forfront_med_equip_mapper","2023/04/19 00:00:00","com_forfront_med_equip_mapper"
+"99","亜居宇絵尾亜居宇絵尾亜居宇絵尾亜居宇絵尾亜居宇絵尾亜居宇絵尾亜居宇絵尾亜居宇絵尾亜居宇絵尾亜居宇絵あ","20230421","NULL","NULL","NULL","NULL","NULL","NULL","2023/04/19 00:00:00","com_forfront_med_equip_mapper","2023/04/19 00:00:00","com_forfront_med_equip_mapper"

ecs/jskult-batch-daily/tests/batch/ultmarc/utmp_tables/table_mapper/com_forfront_med_equip/expect_com_forfront_med_equip_delete.csv

@@ -0,0 +1,8 @@
+"forfront_med_equip_cd","forfront_med_equip_name","regist_ymd","update_ymd","delete_ymd","regist_date","create_user","update_date","update_user","sys_regist_date","regist_prgm_id","sys_update_date","update_prgm_id"
+"11","ＭＲＩ","20171023","NULL","NULL","NULL","NULL","NULL","NULL","2017/10/23 15:01:26","clsComForfrontMedEqu","2017/10/23 15:07:41","clsComForfrontMedEqu"
+"12","Ｘ線ＣＴ","20171023","20230421","NULL","NULL","NULL","NULL","NULL","2017/10/23 15:01:26","clsComForfrontMedEqu","2017/10/23 15:10:02","com_forfront_med_equip_mapper"
+"13","ＣＲ","20171023","20230421","NULL","NULL","NULL","NULL","NULL","2017/10/23 15:01:26","clsComForfrontMedEqu","2017/10/23 15:10:02","com_forfront_med_equip_mapper"
+"14","血管造影システム","20171023","20171023","20230421","NULL","NULL","NULL","NULL","2017/10/23 15:01:26","clsComForfrontMedEqu","2017/10/23 15:14:25","com_forfront_med_equip_mapper"
+"15","アンガー型カメラ","20171023","20230421","NULL","NULL","NULL","NULL","NULL","2017/10/23 15:01:26","clsComForfrontMedEqu","2017/10/23 15:10:02","com_forfront_med_equip_mapper"
+"16","ＳＰＥＣＴ","20171023","20230421","NULL","NULL","NULL","NULL","NULL","2017/10/23 15:01:26","clsComForfrontMedEqu","2017/10/23 15:10:02","com_forfront_med_equip_mapper"
+"99","亜居宇絵尾亜居宇絵尾亜居宇絵尾亜居宇絵尾亜居宇絵尾亜居宇絵尾亜居宇絵尾亜居宇絵尾亜居宇絵尾亜居宇絵あ","20230420","20230420","20230421","NULL","NULL","NULL","NULL","2023/04/19 00:00:00","com_forfront_med_equip_mapper","2023/04/19 00:00:00","com_forfront_med_equip_mapper"

ecs/jskult-batch-daily/tests/batch/ultmarc/utmp_tables/table_mapper/com_forfront_med_equip/expect_com_forfront_med_equip_insert.csv

@@ -0,0 +1,8 @@
+"forfront_med_equip_cd","forfront_med_equip_name","regist_ymd","update_ymd","delete_ymd","regist_date","create_user","update_date","update_user","sys_regist_date","regist_prgm_id","sys_update_date","update_prgm_id"
+"11","ＭＲＩ","20230421","NULL","NULL","NULL","NULL","NULL","NULL","2023/04/21 10:01:26","com_forfront_med_equip_mapper","2017/10/23 15:01:26","com_forfront_med_equip_mapper"
+"12","Ｘ線ＣＴ","20230421","NULL","NULL","NULL","NULL","NULL","NULL","2017/10/23 10:01:26","com_forfront_med_equip_mapper","2017/10/23 15:01:26","com_forfront_med_equip_mapper"
+"13","ＣＲ","20230421","NULL","NULL","NULL","NULL","NULL","NULL","2017/10/23 10:01:26","com_forfront_med_equip_mapper","2017/10/23 15:01:26","com_forfront_med_equip_mapper"
+"14","血管造影システム","20230421","NULL","NULL","NULL","NULL","NULL","NULL","2017/10/23 15:01:26","com_forfront_med_equip_mapper","2017/10/23 15:01:26","com_forfront_med_equip_mapper"
+"15","ＳＰＥＣＴ","20230421","NULL","NULL","NULL","NULL","NULL","NULL","2017/10/23 15:01:26","com_forfront_med_equip_mapper","2017/10/23 15:01:26","com_forfront_med_equip_mapper"
+"16","アンガー型カメラ","20230421","NULL","NULL","NULL","NULL","NULL","NULL","2017/10/23 15:01:26","com_forfront_med_equip_mapper","2017/10/23 15:01:26","com_forfront_med_equip_mapper"
+"99","亜居宇絵尾亜居宇絵尾亜居宇絵尾亜居宇絵尾亜居宇絵尾亜居宇絵尾亜居宇絵尾亜居宇絵尾亜居宇絵尾亜居宇絵あ","20230421","NULL","NULL","NULL","NULL","NULL","NULL","2023/04/19 00:00:00","com_forfront_med_equip_mapper","2023/04/19 00:00:00","com_forfront_med_equip_mapper"

ecs/jskult-batch-daily/tests/batch/ultmarc/utmp_tables/table_mapper/com_forfront_med_equip/expect_com_forfront_med_equip_update.csv

@@ -0,0 +1,9 @@
+"forfront_med_equip_cd","forfront_med_equip_name","regist_ymd","update_ymd","delete_ymd","regist_date","create_user","update_date","update_user","sys_regist_date","regist_prgm_id","sys_update_date","update_prgm_id"
+"11","ＭＲＩ","20230421","NULL","NULL","NULL","NULL","NULL","NULL","2023/04/21 10:01:26","clsComForfrontMedEqu","2017/10/23 10:07:41","com_forfront_med_equip_mapper"
+"12","Ｘ線ＣＴ","20230421","20230421","NULL","NULL","NULL","NULL","NULL","2017/10/23 10:01:26","clsComForfrontMedEqu","2017/10/23 15:10:02","com_forfront_med_equip_mapper"
+"13","ＣＲ","20230421","20230421","NULL","NULL","NULL","NULL","NULL","2017/10/23 10:01:26","clsComForfrontMedEqu","2017/10/23 15:10:02","com_forfront_med_equip_mapper"
+"14","血管造影システム","20230421","20230421","NULL","NULL","NULL","NULL","NULL","2017/10/23 15:01:26","clsComForfrontMedEqu","2017/10/23 15:10:02","com_forfront_med_equip_mapper"
+"15","アンガー型カメラ","20230421","20230421","NULL","NULL","NULL","NULL","NULL","2017/10/23 15:01:26","clsComForfrontMedEqu","2017/10/23 15:10:02","com_forfront_med_equip_mapper"
+"16","ＳＰＥＣＴ","20230421","20230421","NULL","NULL","NULL","NULL","NULL","2017/10/23 15:01:26","clsComForfrontMedEqu","2017/10/23 15:10:02","com_forfront_med_equip_mapper"
+"98","亜居宇絵尾亜居宇絵尾亜居宇絵尾亜居宇絵尾亜居宇絵尾亜居宇絵尾亜居宇絵尾亜居宇絵尾亜居宇絵尾亜居宇絵あ","20230421","NULL","NULL","NULL","NULL","NULL","NULL","2023/04/19 00:00:00","com_forfront_med_equip_mapper","2023/04/19 00:00:00","com_forfront_med_equip_mapper"
+"99","亜居宇絵尾亜居宇絵尾亜居宇絵尾亜居宇絵尾亜居宇絵尾亜居宇絵尾亜居宇絵尾亜居宇絵尾亜居宇絵尾亜居宇絵あ","20230421","20230421","NULL","NULL","NULL","NULL","NULL","2023/04/19 00:00:00","com_forfront_med_equip_mapper","2023/04/19 00:00:00","com_forfront_med_equip_mapper"

ecs/jskult-batch-daily/tests/batch/ultmarc/utmp_tables/table_mapper/com_forfront_med_equip/test_com_forfront_med_equip_mapper.py

@@ -0,0 +1,197 @@
+import os.path as path
+from datetime import datetime
+
+import pytest
+
+from src.batch.common.batch_context import BatchContext
+from src.batch.ultmarc.utmp_tables.table_mapper.concrete import com_forfront_med_equip_mapper
+from src.db.database import Database
+from tests.testing_utility import (assert_table_results,
+                                   create_db_data_from_csv,
+                                   create_delete_sql_with_parameter,
+                                   create_insert_sql_with_parameter,
+                                   create_ultmarc_table_mapper_sut,
+                                   create_ultmarc_test_data_from_csv)
+
+
+class TestComForfrontMedEquipMapper:
+    """ レイアウト区分022: COM_先端医療機器 """
+
+    db: Database
+    batch_context: BatchContext
+    test_file_path: str = path.dirname(__file__)
+
+    @pytest.fixture(autouse=True, scope='function')
+    def pre_test(self, database: Database):
+        """ テスト実行前後処理 """
+        self.batch_context = BatchContext.get_instance()
+        # setup
+        self.db = database
+        self.db.connect()
+        self.db.begin()
+
+        # testing
+        yield
+
+        # teardown
+        self.db.rollback()
+        self.db.disconnect()
+
+    def test_insert_record(self):
+        """
+        Cases:
+            COM_先端医療機器テーブルにレコードを登録する
+        Arranges:
+            - CSVデータを用意し、読み込む
+            - 追加対象となるレコードを削除する
+        Expects:
+            - 登録内容が期待値と一致すること
+        """
+
+        # Arrange
+        # 処理日設定
+        self.batch_context.syor_date = datetime.strftime(datetime.now(), '%Y/%m/%d')
+        # テスト用のCSVを読み込む
+        test_dat_file = create_ultmarc_test_data_from_csv(path.join(self.test_file_path, 'com_forfront_med_equip_insert.csv'))
+        # 一旦全データをDBから削除
+        delete_sql, delete_parameter = create_delete_sql_with_parameter('src05.com_forfront_med_equip', {'1': '1'})
+        self.db.execute(delete_sql, delete_parameter)
+
+        # Act
+        for line_number, line in enumerate(test_dat_file, start=1):
+            sut: com_forfront_med_equip_mapper.ComForfrontMedEquipMapper = create_ultmarc_table_mapper_sut(line, self.db)
+            assert type(sut) is com_forfront_med_equip_mapper.ComForfrontMedEquipMapper, f'{line_number}行目:マッパークラスが期通りか'
+
+            sut.make_query()
+            sut.execute_queries()
+
+        # Assert
+        # 期待値ファイルを読み込む
+        expect_data_list = create_db_data_from_csv(path.join(self.test_file_path, 'expect_com_forfront_med_equip_insert.csv'))
+        primary_keys = [f"'{primary_key['forfront_med_equip_cd']}'" for primary_key in expect_data_list]
+        actual_select_sql = f"SELECT * FROM src05.com_forfront_med_equip WHERE forfront_med_equip_cd IN ({','.join(primary_keys)})"
+        actual_data_list = self.db.execute_select(actual_select_sql)
+        # 期待値検査
+        ignore_columns = ['sys_update_date', 'sys_regist_date']
+        assert_table_results(actual_data_list, expect_data_list, ignore_col_name=ignore_columns)
+        # 動的日付項目の個別確認
+        line_number = 0
+        for actual_row, expect_row in zip(actual_data_list, expect_data_list):
+            line_number += 1
+            for actual_col_name, expect_col_name in zip(actual_row, expect_row):
+                if actual_col_name in ['regist_ymd', 'sys_regist_date', 'sys_update_date']:
+                    assert actual_row[actual_col_name] >= expect_row[expect_col_name], f'{line_number}行目:{actual_col_name}が、期待値以降であること'
+
+    def test_update_record(self):
+        """
+        Cases:
+            COM_先端医療機器テーブルのレコードを更新する
+        Arranges:
+            - CSVデータを用意し、読み込む
+            - 更新対象となるレコードを登録する
+        Expects:
+            - 登録内容が期待値と一致すること
+        """
+
+        # Arrange
+        # 処理日設定
+        self.batch_context.syor_date = datetime.strftime(datetime.now(), '%Y/%m/%d')
+        # テスト用のCSVを読み込む
+        test_dat_file = create_ultmarc_test_data_from_csv(path.join(self.test_file_path, 'com_forfront_med_equip_update.csv'))
+        # 一旦全データをDBから削除
+        delete_sql, delete_parameter = create_delete_sql_with_parameter('src05.com_forfront_med_equip', {'1': '1'})
+        self.db.execute(delete_sql, delete_parameter)
+        # テストデータをDBに登録
+        # DBデータを読み込む
+        test_sql_data_list = create_db_data_from_csv(path.join(self.test_file_path, 'db_com_forfront_med_equip_before_update.csv'))
+        for test_data in test_sql_data_list:
+            insert_sql, insert_parameter = create_insert_sql_with_parameter(
+                'src05.com_forfront_med_equip',
+                test_data.keys(),
+                test_data.values()
+            )
+            self.db.execute(insert_sql, insert_parameter)
+
+        # Act
+        for line_number, line in enumerate(test_dat_file, start=1):
+            sut: com_forfront_med_equip_mapper.ComForfrontMedEquipMapper = create_ultmarc_table_mapper_sut(line, self.db)
+            assert type(sut) is com_forfront_med_equip_mapper.ComForfrontMedEquipMapper, f'{line_number}行目:マッパークラスが期通りか'
+            sut.make_query()
+            sut.execute_queries()
+
+        # Assert
+        # 期待値ファイルを読み込む
+        expect_data_list = create_db_data_from_csv(path.join(self.test_file_path, 'expect_com_forfront_med_equip_update.csv'))
+        primary_keys = [f"'{primary_key['forfront_med_equip_cd']}'" for primary_key in expect_data_list]
+        actual_select_sql = f"SELECT * FROM src05.com_forfront_med_equip WHERE forfront_med_equip_cd IN ({','.join(primary_keys)})"
+        actual_data_list = self.db.execute_select(actual_select_sql)
+        # 期待値検査
+        ignore_columns = ['sys_update_date']
+        assert_table_results(actual_data_list, expect_data_list, ignore_col_name=ignore_columns)
+        # 動的日付項目の個別確認
+        line_number = 0
+        for actual_row, expect_row in zip(actual_data_list, expect_data_list):
+            line_number += 1
+            for actual_col_name, expect_col_name in zip(actual_row, expect_row):
+                if actual_col_name in ignore_columns:
+                    if expect_row[expect_col_name] is None:
+                        assert actual_row[actual_col_name] is None, f'{line_number}行目:{actual_col_name}が、登録されていないこと'
+                    else:
+                        assert actual_row[actual_col_name] >= expect_row[expect_col_name], f'{line_number}行目:{actual_col_name}が、期待値以降であること'
+
+    def test_logical_delete(self):
+        """
+        Cases:
+            COM_先端医療機器テーブルのレコードを1件論理削除する
+        Arranges:
+            - CSVデータを用意し、読み込む
+            - 削除対象となるレコードを登録する
+        Expects:
+            - 登録内容が期待値と一致すること
+        """
+
+        # Arrange
+        # 処理日設定
+        self.batch_context.syor_date = datetime.strftime(datetime.now(), '%Y/%m/%d')
+        # テスト用のCSVを読み込む
+        test_dat_file = create_ultmarc_test_data_from_csv(path.join(self.test_file_path, 'com_forfront_med_equip_delete.csv'))
+        # 一旦全データをDBから削除
+        delete_sql, delete_parameter = create_delete_sql_with_parameter('src05.com_forfront_med_equip', {'1': '1'})
+        self.db.execute(delete_sql, delete_parameter)
+        # テストデータをDBに登録
+        # DBデータを読み込む
+        test_sql_data_list = create_db_data_from_csv(path.join(self.test_file_path, 'db_com_forfront_med_equip_before_delete.csv'))
+        for test_data in test_sql_data_list:
+            insert_sql, insert_parameter = create_insert_sql_with_parameter(
+                'src05.com_forfront_med_equip',
+                test_data.keys(),
+                test_data.values()
+            )
+            self.db.execute(insert_sql, insert_parameter)
+
+        # Act
+        for line_number, line in enumerate(test_dat_file, start=1):
+            sut: com_forfront_med_equip_mapper.ComForfrontMedEquipMapper = create_ultmarc_table_mapper_sut(line, self.db)
+            assert type(sut) is com_forfront_med_equip_mapper.ComForfrontMedEquipMapper, f'{line_number}行目:マッパークラスが期通りか'
+            sut.make_query()
+            sut.execute_queries()
+
+        # Assert
+        # 期待値ファイルを読み込む
+        expect_data_list = create_db_data_from_csv(path.join(self.test_file_path, 'expect_com_forfront_med_equip_delete.csv'))
+        primary_keys = [f"'{primary_key['forfront_med_equip_cd']}'" for primary_key in expect_data_list]
+        actual_select_sql = f"SELECT * FROM src05.com_forfront_med_equip WHERE forfront_med_equip_cd IN ({','.join(primary_keys)})"
+        actual_data_list = self.db.execute_select(actual_select_sql)
+        # 期待値検査
+        ignore_columns = ['sys_update_date']
+        assert_table_results(actual_data_list, expect_data_list, ignore_col_name=ignore_columns)
+        # 動的日付項目の個別確認
+        line_number = 0
+        for actual_row, expect_row in zip(actual_data_list, expect_data_list):
+            line_number += 1
+            for actual_col_name, expect_col_name in zip(actual_row, expect_row):
+                if actual_col_name in ignore_columns:
+                    if expect_row[expect_col_name] is None:
+                        assert actual_row[actual_col_name] is None, f'{line_number}行目:{actual_col_name}が、登録されていないこと'
+                    else:
+                        assert actual_row[actual_col_name] >= expect_row[expect_col_name], f'{line_number}行目:{actual_col_name}が、期待値以降であること'

rds_mysql/stored_procedure/src05/inst_merge_t_create.sql

@@ -0,0 +1,70 @@
+-- A5M2で実行時に[SQL] - [スラッシュ(/)のみの行でSQLを区切る]に変えてから実行する
+CREATE PROCEDURE src05.inst_merge_t_create()
+SQL SECURITY INVOKER
+BEGIN
+	-- スキーマ名
+	DECLARE schema_name VARCHAR(50) DEFAULT (SELECT DATABASE());
+	-- プロシージャ名
+	DECLARE procedure_name VARCHAR(100) DEFAULT 'inst_merge_t_create';
+	-- プロシージャの引数
+	DECLARE procedure_args JSON DEFAULT JSON_OBJECT();	
+
+	-- 例外処理
+	DECLARE EXIT HANDLER FOR SQLEXCEPTION 
+		BEGIN
+			GET DIAGNOSTICS CONDITION 1
+				@error_state = RETURNED_SQLSTATE, @error_msg = MESSAGE_TEXT;
+			call medaca_common.put_error_log(schema_name, procedure_name, procedure_args,
+									'inst_merge_t_createでエラーが発生', @error_state, @error_msg);
+			SIGNAL SQLSTATE '45000'
+				SET MYSQL_ERRNO = @error_state, MESSAGE_TEXT = @error_msg;
+		END;
+
+	SET @error_state = NULL, @error_msg = NULL;
+
+	call medaca_common.put_info_log(schema_name, procedure_name, procedure_args,
+							'アルトマーク施設統合マスタ（洗替処理一時テーブル）作成① 開始' 
+	);
+
+	TRUNCATE TABLE internal05.inst_merge_t;
+
+	call medaca_common.put_info_log(schema_name, procedure_name, procedure_args,
+							'アルトマーク施設統合マスタ（洗替処理一時テーブル）作成① 終了' 
+	);
+
+	call medaca_common.put_info_log(schema_name, procedure_name, procedure_args,
+							'アルトマーク施設統合マスタ（洗替処理一時テーブル）作成② 開始' 
+	);
+
+	INSERT INTO
+		internal05.inst_merge_t (
+			dcf_dsf_inst_cd,
+			dup_opp_cd,
+			form_inst_name_kanji,
+			form_inst_name_kana,
+			inst_addr,
+			prefc_cd
+		)
+	SELECT 
+		dim.dcf_inst_cd,
+		dim.dcf_inst_cd_new,
+		ci.form_inst_name_kanji,
+		ci.form_inst_name_kana,
+		ci.inst_addr,
+		ci.prefc_cd
+	FROM 
+		src05.dcf_inst_merge dim
+	LEFT OUTER JOIN src05.com_inst ci
+		ON dim.dcf_inst_cd_new = ci.dcf_dsf_inst_cd
+		AND ci.delete_flg = '0'
+	WHERE
+			dim.muko_flg = '0'
+		AND dim.dcf_inst_cd_new IS NOT NULL
+		AND	dim.enabled_flg = 'Y'
+		AND	src05.to_date_yyyymm01(dim.tekiyo_month) <= src05.get_syor_date();
+
+	call medaca_common.put_info_log(schema_name, procedure_name, procedure_args,
+							'アルトマーク施設統合マスタ（洗替処理一時テーブル）作成② 終了' 
+	);
+
+END

rds_mysql/stored_procedure/src05/v_inst_merge_t_create.sql

@@ -0,0 +1,75 @@
+-- A5M2で実行時に[SQL] - [スラッシュ(/)のみの行でSQLを区切る]に変えてから実行する
+CREATE PROCEDURE src05.v_inst_merge_t_create()
+SQL SECURITY INVOKER
+BEGIN
+	-- スキーマ名
+	DECLARE schema_name VARCHAR(50) DEFAULT (SELECT DATABASE());
+	-- プロシージャ名
+	DECLARE procedure_name VARCHAR(100) DEFAULT 'v_inst_merge_t_create';
+	-- プロシージャの引数
+	DECLARE procedure_args JSON DEFAULT JSON_OBJECT();	
+
+	-- 例外処理
+	DECLARE EXIT HANDLER FOR SQLEXCEPTION 
+		BEGIN
+			GET DIAGNOSTICS CONDITION 1
+				@error_state = RETURNED_SQLSTATE, @error_msg = MESSAGE_TEXT;
+			call medaca_common.put_error_log(schema_name, procedure_name, procedure_args,
+									'v_inst_merge_t_createでエラーが発生', @error_state, @error_msg);
+			SIGNAL SQLSTATE '45000'
+				SET MYSQL_ERRNO = @error_state, MESSAGE_TEXT = @error_msg;
+		END;
+
+	SET @error_state = NULL, @error_msg = NULL;
+
+	call medaca_common.put_info_log(schema_name, procedure_name, procedure_args,
+							'V施設統合マスタ（洗替処理一時テーブル）作成① 開始');
+
+	TRUNCATE TABLE internal05.v_inst_merge_t;
+
+	call medaca_common.put_info_log(schema_name, procedure_name, procedure_args,
+							'V施設統合マスタ（洗替処理一時テーブル）作成① 終了');
+
+	call medaca_common.put_info_log(schema_name, procedure_name, procedure_args,
+							'V施設統合マスタ（洗替処理一時テーブル）作成② 開始');
+
+	INSERT INTO
+		internal05.v_inst_merge_t (
+			v_inst_cd,
+			v_inst_cd_merge,
+			fcl_name,
+			fcl_kn_name,
+			fmt_addr,
+			prft_cd
+		)
+	SELECT
+		vhmv.v_inst_cd,
+		vhmv.v_inst_cd_merg,
+		fmv.fcl_name,
+		fmv.fcl_kn_name,
+		fmv.fmt_addr,
+		fmv.prft_cd
+	FROM
+		src05.vop_hco_merge_v vhmv,
+		src05.fcl_mst_v fmv
+	INNER JOIN (
+		SELECT
+			v_inst_cd,
+			MAX(sub_num) AS sno
+		FROM
+			src05.fcl_mst_v
+		GROUP BY
+			v_inst_cd
+		) max_sno_fmv
+		ON fmv.v_inst_cd = max_sno_fmv.v_inst_cd
+		AND fmv.sub_num = max_sno_fmv.sno
+	WHERE
+		vhmv.v_inst_cd_merg = fmv.v_inst_cd
+		AND STR_TO_DATE(vhmv.apply_dt, '%Y-%m-%d') <= src05.get_syor_date()
+		AND ((fmv.fcl_type IN ('A1','A0')) OR fmv.fcl_type BETWEEN '20' AND '29')
+		AND fmv.rec_sts_kbn != '9';
+
+	call medaca_common.put_info_log(schema_name, procedure_name, procedure_args,
+							'V施設統合マスタ（洗替処理一時テーブル）作成② 終了' );
+
+END

s3/config/jskult/task_settings/batch_daily_task_settings.env

@@ -0,0 +1,16 @@
+# jskult batch daily task environment file.
+LOG_LEVEL=DEBUG
+ULTMARC_DATA_FOLDER=recv
+VJSK_DATA_RECEIVE_FOLDER=recv
+VJSK_DATA_SEND_FOLDER=send
+ULTMARC_BACKUP_FOLDER=ultmarc
+VJSK_BACKUP_FOLDER=vjsk
+JSKULT_CONFIG_CALENDAR_FOLDER=jskult/calendar
+JSKULT_CONFIG_CALENDAR_HOLIDAY_LIST_FILE_NAME=jskult_holiday_list.txt
+JSKULT_CONFIG_CALENDAR_WHOLESALER_STOCK_FILENAME=jskult_wholesaler_stock_input_day_list.txt
+SALES_LAUNDERING_EXTRACT_DATE_PERIOD=0
+SALES_LAUNDERING_TARGET_TABLE_NAME=src05.sales_lau
+DB_CONNECTION_MAX_RETRY_ATTEMPT=4
+DB_CONNECTION_RETRY_INTERVAL_INIT=5
+DB_CONNECTION_RETRY_INTERVAL_MIN_SECONDS=5
+DB_CONNECTION_RETRY_INTERVAL_MAX_SECONDS=50

s3/config/jskult/task_settings/batch_laundering_task_settings.env

@@ -0,0 +1,8 @@
+# jskult batch laundering task environment file.
+LOG_LEVEL=DEBUG
+SALES_LAUNDERING_EXTRACT_DATE_PERIOD=7
+SALES_LAUNDERING_TARGET_TABLE_NAME=src05.sales_lau_all
+DB_CONNECTION_MAX_RETRY_ATTEMPT=4
+DB_CONNECTION_RETRY_INTERVAL_INIT=5
+DB_CONNECTION_RETRY_INTERVAL_MIN_SECONDS=5
+DB_CONNECTION_RETRY_INTERVAL_MAX_SECONDS=50

s3/config/jskult/task_settings/batch_monthly_task_settings.env

@@ -0,0 +1,10 @@
+# jskult batch monthly task environment file.
+LOG_LEVEL=DEBUG
+ARISJ_DATA_FOLDER=DATA
+ARISJ_BACKUP_FOLDER=arisj
+JSKULT_CONFIG_CALENDAR_FOLDER=jskult/calendar
+JSKULT_CONFIG_CALENDAR_ARISJ_OUTPUT_DAY_LIST_FILE_NAME=jskult_arisj_output_day_list.txt
+DB_CONNECTION_MAX_RETRY_ATTEMPT=4
+DB_CONNECTION_RETRY_INTERVAL_INIT=5
+DB_CONNECTION_RETRY_INTERVAL_MIN_SECONDS=5
+DB_CONNECTION_RETRY_INTERVAL_MAX_SECONDS=50

s3/config/jskult/task_settings/dbdump_task_settings.env

@@ -0,0 +1,7 @@
+# jskult db dump task environment file.
+LOG_LEVEL=DEBUG
+DUMP_BACKUP_FOLDER=dump
+DB_CONNECTION_MAX_RETRY_ATTEMPT=4
+DB_CONNECTION_RETRY_INTERVAL_INIT=5
+DB_CONNECTION_RETRY_INTERVAL_MIN_SECONDS=5
+DB_CONNECTION_RETRY_INTERVAL_MAX_SECONDS=50

s3/config/jskult/task_settings/web_task_settings.env

@@ -0,0 +1,6 @@
+# webapp task environment file.
+AWS_REGION=ap-northeast-1
+AUTHORIZE_ENDPOINT=oauth2/authorize
+TOKEN_ENDPOINT=oauth2/token
+BIO_SEARCH_RESULT_MAX_COUNT=35000
+SESSION_EXPIRE_MINUTE=20

stepfunctions/TOOLS/convert_config.yaml

@@ -20,6 +20,14 @@ resource:
     - &STG_SG_ECS_ALL "sg-051e0fb9925539592"
     # セキュリティグループ(ecs-crm-datafetch)
     - &STG_SG_CRM_DATAFETCH "sg-0b20b7bb1cb1ab886"
+    # セキュリティグループ(ecs-jskult-batch-daily)
+    - &STG_SG_JSKULT_BATCH_DAILY "sg-020b3f6a5a6d6a3a0"
+    # セキュリティグループ(ecs-jskult-batch-monthly)
+    - &STG_SG_JSKULT_BATCH_MONTHLY "sg-05c7ad620d69e6f5f"
+    # セキュリティグループ(ecs-jskult-dbdump)
+    - &STG_SG_JSKULT_DBDUMP "sg-0967779af13538a8e"
+    # セキュリティグループ(ecs-jskult-batch-laundering)
+    - &STG_SG_JSKULT_BATCH_LAUNDERING "sg-00b9ea30c5c6bb77a"
   # 本番環境
   product:
     # サブネット(PrivateSubnet1)
@@ -30,8 +38,17 @@ resource:
     - &PRD_SG_ECS_ALL "sg-05df4823fc789b0fa"
     # セキュリティグループ(ecs-crm-datafetch)
     - &PRD_SG_CRM_DATAFETCH "sg-04de7fc3357d852af"
-
+    # TODO: 本番リリース時にIDを正式化する
+    # セキュリティグループ(ecs-jskult-batch-daily)
+    - &PRD_SG_JSKULT_BATCH_DAILY "sg-xxxxxxxxxxxxxxxx"
+    # セキュリティグループ(ecs-jskult-batch-monthly)
+    - &PRD_SG_JSKULT_BATCH_MONTHLY "sg-xxxxxxxxxxxxxxxx"
+    # セキュリティグループ(ecs-jskult-dbdump)
+    - &PRD_SG_JSKULT_DBDUMP "sg-xxxxxxxxxxxxxxxx"
+    # セキュリティグループ(ecs-jskult-batch-laundering)
+    - &PRD_SG_JSKULT_BATCH_LAUNDERING "sg-xxxxxxxxxxxxxxxx"
 config:
+  # CRMデータ取得
   r-crm-datafetch-state:
     # ステージング環境
     staging:
@@ -61,6 +78,7 @@ config:
       SG_ECS_ALL: *PRD_SG_ECS_ALL
       # セキュリティグループ(ecs-crm-datafetch)
       SG_CRM_DATAFETCH: *PRD_SG_CRM_DATAFETCH
+  # データ登録処理
   r-data-import-state:
     # ステージング環境
     staging:
@@ -74,3 +92,123 @@ config:
       AWS_ACCOUNT_ID: *AWS_ACCOUNT_ID
       # 東京リージョン
       REGION_AP_NORTHEAST_1: *REGION_AP_NORTHEAST_1
+  # 実消化&アルトマーク 日次バッチ
+  r-jskult-batch-daily-state:
+    # ステージング環境
+    staging:
+      # AWSアカウントID
+      AWS_ACCOUNT_ID: *AWS_ACCOUNT_ID
+      # 東京リージョン
+      REGION_AP_NORTHEAST_1: *REGION_AP_NORTHEAST_1
+      # サブネット(PrivateSubnet1)
+      SUBNET_PRI_1A: *STG_SUBNET_PRI_1A
+      # サブネット(PrivateSubnet2)
+      SUBNET_PRI_1D: *STG_SUBNET_PRI_1D
+      # セキュリティグループ(ecs-all)
+      SG_ECS_ALL: *STG_SG_ECS_ALL
+      # セキュリティグループ(ecs-jskut-batch-daily)
+      SG_JSKULT_BATCH_DAILY: *STG_SG_JSKULT_BATCH_DAILY
+    # 本番環境
+    product:
+      # AWSアカウントID
+      AWS_ACCOUNT_ID: *AWS_ACCOUNT_ID
+      # 東京リージョン
+      REGION_AP_NORTHEAST_1: *REGION_AP_NORTHEAST_1
+      # サブネット(PrivateSubnet1)
+      SUBNET_PRI_1A: *PRD_SUBNET_PRI_1A
+      # サブネット(PrivateSubnet2)
+      SUBNET_PRI_1D: *PRD_SUBNET_PRI_1D
+      # セキュリティグループ(ecs-all)
+      SG_ECS_ALL: *PRD_SG_ECS_ALL
+      # セキュリティグループ(ecs-jskut-batch-daily)
+      SG_JSKULT_BATCH_DAILY: *PRD_SG_JSKULT_BATCH_DAILY
+  # 実消化&アルトマーク 月次バッチ
+  r-jskult-batch-monthly-state:
+    # ステージング環境
+    staging:
+      # AWSアカウントID
+      AWS_ACCOUNT_ID: *AWS_ACCOUNT_ID
+      # 東京リージョン
+      REGION_AP_NORTHEAST_1: *REGION_AP_NORTHEAST_1
+      # サブネット(PrivateSubnet1)
+      SUBNET_PRI_1A: *STG_SUBNET_PRI_1A
+      # サブネット(PrivateSubnet2)
+      SUBNET_PRI_1D: *STG_SUBNET_PRI_1D
+      # セキュリティグループ(ecs-all)
+      SG_ECS_ALL: *STG_SG_ECS_ALL
+      # セキュリティグループ(ecs-jskut-batch-monthly)
+      SG_JSKULT_BATCH_MONTHLY: *STG_SG_JSKULT_BATCH_MONTHLY
+    # 本番環境
+    product:
+      # AWSアカウントID
+      AWS_ACCOUNT_ID: *AWS_ACCOUNT_ID
+      # 東京リージョン
+      REGION_AP_NORTHEAST_1: *REGION_AP_NORTHEAST_1
+      # サブネット(PrivateSubnet1)
+      SUBNET_PRI_1A: *PRD_SUBNET_PRI_1A
+      # サブネット(PrivateSubnet2)
+      SUBNET_PRI_1D: *PRD_SUBNET_PRI_1D
+      # セキュリティグループ(ecs-all)
+      SG_ECS_ALL: *PRD_SG_ECS_ALL
+      # セキュリティグループ(ecs-jskut-batch-monthly)
+      SG_JSKULT_BATCH_MONTHLY: *PRD_SG_JSKULT_BATCH_MONTHLY
+  # 実消化&アルトマーク 日次dump取得
+  r-jskult-dbdump-state:
+    # ステージング環境
+    staging:
+      # AWSアカウントID
+      AWS_ACCOUNT_ID: *AWS_ACCOUNT_ID
+      # 東京リージョン
+      REGION_AP_NORTHEAST_1: *REGION_AP_NORTHEAST_1
+      # サブネット(PrivateSubnet1)
+      SUBNET_PRI_1A: *STG_SUBNET_PRI_1A
+      # サブネット(PrivateSubnet2)
+      SUBNET_PRI_1D: *STG_SUBNET_PRI_1D
+      # セキュリティグループ(ecs-all)
+      SG_ECS_ALL: *STG_SG_ECS_ALL
+      # セキュリティグループ(ecs-jskut-dbdump)
+      SG_JSKULT_DBDUMP: *STG_SG_JSKULT_DBDUMP
+    # 本番環境
+    product:
+      # AWSアカウントID
+      AWS_ACCOUNT_ID: *AWS_ACCOUNT_ID
+      # 東京リージョン
+      REGION_AP_NORTHEAST_1: *REGION_AP_NORTHEAST_1
+      # サブネット(PrivateSubnet1)
+      SUBNET_PRI_1A: *PRD_SUBNET_PRI_1A
+      # サブネット(PrivateSubnet2)
+      SUBNET_PRI_1D: *PRD_SUBNET_PRI_1D
+      # セキュリティグループ(ecs-all)
+      SG_ECS_ALL: *PRD_SG_ECS_ALL
+      # セキュリティグループ(ecs-jskut-dbdump)
+      SG_JSKULT_DBDUMP: *PRD_SG_JSKULT_DBDUMP
+  # 実消化&アルトマーク 実績洗替バッチ
+  r-jskult-batch-laundering-state:
+    # ステージング環境
+    staging:
+      # AWSアカウントID
+      AWS_ACCOUNT_ID: *AWS_ACCOUNT_ID
+      # 東京リージョン
+      REGION_AP_NORTHEAST_1: *REGION_AP_NORTHEAST_1
+      # サブネット(PrivateSubnet1)
+      SUBNET_PRI_1A: *STG_SUBNET_PRI_1A
+      # サブネット(PrivateSubnet2)
+      SUBNET_PRI_1D: *STG_SUBNET_PRI_1D
+      # セキュリティグループ(ecs-all)
+      SG_ECS_ALL: *STG_SG_ECS_ALL
+      # セキュリティグループ(ecs-jskut-batch-laundering)
+      SG_JSKULT_BATCH_LAUNDERING: *STG_SG_JSKULT_BATCH_LAUNDERING
+    # 本番環境
+    product:
+      # AWSアカウントID
+      AWS_ACCOUNT_ID: *AWS_ACCOUNT_ID
+      # 東京リージョン
+      REGION_AP_NORTHEAST_1: *REGION_AP_NORTHEAST_1
+      # サブネット(PrivateSubnet1)
+      SUBNET_PRI_1A: *PRD_SUBNET_PRI_1A
+      # サブネット(PrivateSubnet2)
+      SUBNET_PRI_1D: *PRD_SUBNET_PRI_1D
+      # セキュリティグループ(ecs-all)
+      SG_ECS_ALL: *PRD_SG_ECS_ALL
+      # セキュリティグループ(ecs-jskut-batch-laundering)
+      SG_JSKULT_BATCH_LAUNDERING: *PRD_SG_JSKULT_BATCH_LAUNDERING

stepfunctions/r-jskult-batch-daily-state/r-jskult-batch-daily-state.json

@@ -0,0 +1,72 @@
+{
+  "Comment": "MeDaCA 実消化&アルトマーク 日次バッチ起動ステートマシン",
+  "StartAt": "params",
+  "States": {
+    "params": {
+      "Comment": "パラメータ設定",
+      "Type": "Pass",
+      "Parameters": {
+        "sns": {
+          "TopicArn": "arn:aws:sns:#{REGION_AP_NORTHEAST_1}:#{AWS_ACCOUNT_ID}:nds-notice-#{ENV_NAME}"
+        },
+        "ecs": {
+          "Cluster": "arn:aws:ecs:#{REGION_AP_NORTHEAST_1}:#{AWS_ACCOUNT_ID}:cluster/mbj-newdwh2021-#{ENV_NAME}-jskult-batch-daily-ecs",
+          "LaunchType": "FARGATE",
+          "NetworkConfiguration": {
+            "AwsvpcConfiguration": {
+              "Subnets": [
+                "#{SUBNET_PRI_1A}",
+                "#{SUBNET_PRI_1D}"
+              ],
+              "SecurityGroups": [
+                "#{SG_ECS_ALL}",
+                "#{SG_JSKULT_BATCH_DAILY}"
+              ],
+              "AssignPublicIp": "DISABLED"
+            }
+          }
+        }
+      },
+      "ResultPath": "$.params",
+      "Next": "exec-batch-daily"
+    },
+    "exec-batch-daily": {
+      "Comment": "実消化&アルトマーク 日次バッチ起動",
+      "Type": "Task",
+      "Resource": "arn:aws:states:::ecs:runTask.sync",
+      "Parameters": {
+        "Cluster.$": "$.params.ecs.Cluster",
+        "LaunchType.$": "$.params.ecs.LaunchType",
+        "TaskDefinition": "arn:aws:ecs:#{REGION_AP_NORTHEAST_1}:#{AWS_ACCOUNT_ID}:task-definition/mbj-newdwh2021-#{ENV_NAME}-task-jskult-batch-daily",
+        "NetworkConfiguration.$": "$.params.ecs.NetworkConfiguration"
+      },
+      "Retry": [
+        {
+          "ErrorEquals": ["States.ALL"],
+          "BackoffRate": 2,
+          "IntervalSeconds": 5,
+          "MaxAttempts": 3
+        }
+      ],
+      "Catch": [
+        {
+          "ErrorEquals": ["States.ALL"],
+          "ResultPath": "$.result",
+          "Next": "ErrorEnd"
+        }
+      ],
+      "ResultPath": "$.result",
+      "Next": "NormalEnd"
+    },
+    "NormalEnd": {
+      "Comment": "正常終了",
+      "Type": "Succeed"
+    },
+    "ErrorEnd": {
+      "Comment": "異常終了",
+      "Type": "Fail",
+      "Error": "StatesError",
+      "Cause": "StepFunctions ErrorEnd"
+    }
+  }
+}

stepfunctions/r-jskult-batch-laundering-state/r-jskult-batch-laundering-state.json

@@ -0,0 +1,72 @@
+{
+  "Comment": "MeDaCA 実消化&アルトマーク 実績全件洗替バッチ起動ステートマシン",
+  "StartAt": "params",
+  "States": {
+    "params": {
+      "Comment": "パラメータ設定",
+      "Type": "Pass",
+      "Parameters": {
+        "sns": {
+          "TopicArn": "arn:aws:sns:#{REGION_AP_NORTHEAST_1}:#{AWS_ACCOUNT_ID}:nds-notice-#{ENV_NAME}"
+        },
+        "ecs": {
+          "Cluster": "arn:aws:ecs:#{REGION_AP_NORTHEAST_1}:#{AWS_ACCOUNT_ID}:cluster/mbj-newdwh2021-#{ENV_NAME}-jskult-batch-laundering-ecs",
+          "LaunchType": "FARGATE",
+          "NetworkConfiguration": {
+            "AwsvpcConfiguration": {
+              "Subnets": [
+                "#{SUBNET_PRI_1A}",
+                "#{SUBNET_PRI_1D}"
+              ],
+              "SecurityGroups": [
+                "#{SG_ECS_ALL}",
+                "#{SG_JSKULT_BATCH_LAUNDERING}"
+              ],
+              "AssignPublicIp": "DISABLED"
+            }
+          }
+        }
+      },
+      "ResultPath": "$.params",
+      "Next": "exec-batch-laundering"
+    },
+    "exec-batch-laundering": {
+      "Comment": "実消化&アルトマーク 実績全件洗替バッチ起動",
+      "Type": "Task",
+      "Resource": "arn:aws:states:::ecs:runTask.sync",
+      "Parameters": {
+        "Cluster.$": "$.params.ecs.Cluster",
+        "LaunchType.$": "$.params.ecs.LaunchType",
+        "TaskDefinition": "arn:aws:ecs:#{REGION_AP_NORTHEAST_1}:#{AWS_ACCOUNT_ID}:task-definition/mbj-newdwh2021-#{ENV_NAME}-task-jskult-batch-laundering",
+        "NetworkConfiguration.$": "$.params.ecs.NetworkConfiguration"
+      },
+      "Retry": [
+        {
+          "ErrorEquals": ["States.ALL"],
+          "BackoffRate": 2,
+          "IntervalSeconds": 5,
+          "MaxAttempts": 3
+        }
+      ],
+      "Catch": [
+        {
+          "ErrorEquals": ["States.ALL"],
+          "ResultPath": "$.result",
+          "Next": "ErrorEnd"
+        }
+      ],
+      "ResultPath": "$.result",
+      "Next": "NormalEnd"
+    },
+    "NormalEnd": {
+      "Comment": "正常終了",
+      "Type": "Succeed"
+    },
+    "ErrorEnd": {
+      "Comment": "異常終了",
+      "Type": "Fail",
+      "Error": "StatesError",
+      "Cause": "StepFunctions ErrorEnd"
+    }
+  }
+}

stepfunctions/r-jskult-batch-monthly-state/r-jskult-batch-monthly-state.json

@@ -0,0 +1,72 @@
+{
+  "Comment": "MeDaCA 実消化&アルトマーク 月次バッチ起動ステートマシン",
+  "StartAt": "params",
+  "States": {
+    "params": {
+      "Comment": "パラメータ設定",
+      "Type": "Pass",
+      "Parameters": {
+        "sns": {
+          "TopicArn": "arn:aws:sns:#{REGION_AP_NORTHEAST_1}:#{AWS_ACCOUNT_ID}:nds-notice-#{ENV_NAME}"
+        },
+        "ecs": {
+          "Cluster": "arn:aws:ecs:#{REGION_AP_NORTHEAST_1}:#{AWS_ACCOUNT_ID}:cluster/mbj-newdwh2021-#{ENV_NAME}-jskult-batch-monthly-ecs",
+          "LaunchType": "FARGATE",
+          "NetworkConfiguration": {
+            "AwsvpcConfiguration": {
+              "Subnets": [
+                "#{SUBNET_PRI_1A}",
+                "#{SUBNET_PRI_1D}"
+              ],
+              "SecurityGroups": [
+                "#{SG_ECS_ALL}",
+                "#{SG_JSKULT_BATCH_MONTHLY}"
+              ],
+              "AssignPublicIp": "DISABLED"
+            }
+          }
+        }
+      },
+      "ResultPath": "$.params",
+      "Next": "exec-batch-monthly"
+    },
+    "exec-batch-monthly": {
+      "Comment": "実消化&アルトマーク 月次バッチ起動",
+      "Type": "Task",
+      "Resource": "arn:aws:states:::ecs:runTask.sync",
+      "Parameters": {
+        "Cluster.$": "$.params.ecs.Cluster",
+        "LaunchType.$": "$.params.ecs.LaunchType",
+        "TaskDefinition": "arn:aws:ecs:#{REGION_AP_NORTHEAST_1}:#{AWS_ACCOUNT_ID}:task-definition/mbj-newdwh2021-#{ENV_NAME}-task-jskult-batch-monthly",
+        "NetworkConfiguration.$": "$.params.ecs.NetworkConfiguration"
+      },
+      "Retry": [
+        {
+          "ErrorEquals": ["States.ALL"],
+          "BackoffRate": 2,
+          "IntervalSeconds": 5,
+          "MaxAttempts": 3
+        }
+      ],
+      "Catch": [
+        {
+          "ErrorEquals": ["States.ALL"],
+          "ResultPath": "$.result",
+          "Next": "ErrorEnd"
+        }
+      ],
+      "ResultPath": "$.result",
+      "Next": "NormalEnd"
+    },
+    "NormalEnd": {
+      "Comment": "正常終了",
+      "Type": "Succeed"
+    },
+    "ErrorEnd": {
+      "Comment": "異常終了",
+      "Type": "Fail",
+      "Error": "StatesError",
+      "Cause": "StepFunctions ErrorEnd"
+    }
+  }
+}

stepfunctions/r-jskult-dbdump-state/r-jskult-dbdump-state.json

@@ -0,0 +1,72 @@
+{
+  "Comment": "MeDaCA 実消化&アルトマーク 日次dump取得ステートマシン",
+  "StartAt": "params",
+  "States": {
+    "params": {
+      "Comment": "パラメータ設定",
+      "Type": "Pass",
+      "Parameters": {
+        "sns": {
+          "TopicArn": "arn:aws:sns:#{REGION_AP_NORTHEAST_1}:#{AWS_ACCOUNT_ID}:nds-notice-#{ENV_NAME}"
+        },
+        "ecs": {
+          "Cluster": "arn:aws:ecs:#{REGION_AP_NORTHEAST_1}:#{AWS_ACCOUNT_ID}:cluster/mbj-newdwh2021-#{ENV_NAME}-jskult-dbdump-ecs",
+          "LaunchType": "FARGATE",
+          "NetworkConfiguration": {
+            "AwsvpcConfiguration": {
+              "Subnets": [
+                "#{SUBNET_PRI_1A}",
+                "#{SUBNET_PRI_1D}"
+              ],
+              "SecurityGroups": [
+                "#{SG_ECS_ALL}",
+                "#{SG_JSKULT_DBDUMP}"
+              ],
+              "AssignPublicIp": "DISABLED"
+            }
+          }
+        }
+      },
+      "ResultPath": "$.params",
+      "Next": "exec-dbdump"
+    },
+    "exec-dbdump": {
+      "Comment": "実消化&アルトマーク 日次dump取得起動",
+      "Type": "Task",
+      "Resource": "arn:aws:states:::ecs:runTask.sync",
+      "Parameters": {
+        "Cluster.$": "$.params.ecs.Cluster",
+        "LaunchType.$": "$.params.ecs.LaunchType",
+        "TaskDefinition": "arn:aws:ecs:#{REGION_AP_NORTHEAST_1}:#{AWS_ACCOUNT_ID}:task-definition/mbj-newdwh2021-#{ENV_NAME}-task-jskult-dbdump",
+        "NetworkConfiguration.$": "$.params.ecs.NetworkConfiguration"
+      },
+      "Retry": [
+        {
+          "ErrorEquals": ["States.ALL"],
+          "BackoffRate": 2,
+          "IntervalSeconds": 5,
+          "MaxAttempts": 3
+        }
+      ],
+      "Catch": [
+        {
+          "ErrorEquals": ["States.ALL"],
+          "ResultPath": "$.result",
+          "Next": "ErrorEnd"
+        }
+      ],
+      "ResultPath": "$.result",
+      "Next": "NormalEnd"
+    },
+    "NormalEnd": {
+      "Comment": "正常終了",
+      "Type": "Succeed"
+    },
+    "ErrorEnd": {
+      "Comment": "異常終了",
+      "Type": "Fail",
+      "Error": "StatesError",
+      "Cause": "StepFunctions ErrorEnd"
+    }
+  }
+}