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
This commit is contained in:
野間 2023-04-24 13:12:11 +09:00
commit 0d906da4e5
28 changed files with 1038 additions and 4 deletions

View File

@ -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()

View File

@ -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

View File

@ -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

View File

@ -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]

View File

@ -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

View File

@ -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。

View File

@ -0,0 +1,7 @@
"022","11","A","20141113","20141114",""
"022","12","A","20141113","20141114","X線CT"
"022","13","A","20141113","20141114",""
"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",""
"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"
1 022 11 A 20141113 20141114
2 022 12 A 20141113 20141114 X線CT
3 022 13 A 20141113 20141114 CR
4 022 14 C 20141113 20141114 血管造影システム
5 022 15 A 20141113 20141114 アンガー型カメラ
6 022 16 A 20141113 20141114 SPECT
7 022 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

View File

@ -0,0 +1,7 @@
"022","11","A","20141113","20141114",""
"022","12","A","20141113","20141114","X線CT"
"022","13","A","20141113","20141114",""
"022","14","A","20141113","20141114","血管造影システム"
"022","15","A","20141113","20141114",""
"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"
1 022 11 A 20141113 20141114 MRI
2 022 12 A 20141113 20141114 X線CT
3 022 13 A 20141113 20141114 CR
4 022 14 A 20141113 20141114 血管造影システム
5 022 15 A 20141113 20141114 SPECT
6 022 16 A 20141113 20141114 アンガー型カメラ
7 022 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

View File

@ -0,0 +1,7 @@
"022","11","B","20141113","20141114",""
"022","12","B","20141113","20141114","X線CT"
"022","13","B","20141113","20141114",""
"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",""
"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"
1 022 11 B 20141113 20141114
2 022 12 B 20141113 20141114 X線CT
3 022 13 B 20141113 20141114 CR
4 022 14 B 20141113 20141114 血管造影システム
5 022 15 B 20141113 20141114 アンガー型カメラ
6 022 16 B 20141113 20141114 SPECT
7 022 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

View File

@ -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","","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","","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","","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"
1 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
2 11 MRI 20171023 NULL NULL NULL NULL NULL NULL 2017/10/23 15:01:26 clsComForfrontMedEqu 2017/10/23 15:07:41 clsComForfrontMedEqu
3 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
4 13 CR 20171023 20171023 NULL NULL NULL NULL NULL 2017/10/23 15:01:26 clsComForfrontMedEqu 2017/10/23 15:10:02 clsComForfrontMedEqu
5 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
6 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
7 16 SPECT 20171023 20171023 NULL NULL NULL NULL NULL 2017/10/23 15:01:26 clsComForfrontMedEqu 2017/10/23 15:10:02 clsComForfrontMedEqu
8 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

View File

@ -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","","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","","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","","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"
1 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
2 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
3 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
4 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
5 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
6 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
7 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
8 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
9 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

View File

@ -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","","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","","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","","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"
1 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
2 11 MRI 20171023 NULL NULL NULL NULL NULL NULL 2017/10/23 15:01:26 clsComForfrontMedEqu 2017/10/23 15:07:41 clsComForfrontMedEqu
3 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
4 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
5 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
6 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
7 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
8 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

View File

@ -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","","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","","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","","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"
1 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
2 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
3 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
4 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
5 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
6 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
7 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
8 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

View File

@ -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","","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","","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","","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"
1 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
2 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
3 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
4 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
5 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
6 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
7 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
8 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
9 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

View File

@ -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'

View File

@ -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

View File

@ -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

View File

@ -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

View File

@ -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

View File

@ -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

View File

@ -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

View File

@ -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

View File

@ -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

View File

@ -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"
}
}
}

View File

@ -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"
}
}
}

View File

@ -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"
}
}
}

View File

@ -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"
}
}
}