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Commit 2bfe7b2f authored by Dr.李's avatar Dr.李
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update scripts

parent 30758656
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requirements.txt
View file @ 2bfe7b2f
cython >= 0.25.2 cython >= 0.25.2
finance-python >= 0.5.7 finance-python >= 0.5.7
mysqlclient >= 1.3.10
numpy >= 1.12.1 numpy >= 1.12.1
numba >= 0.33.0 numba >= 0.33.0
scikit-learn >= 0.18.1 scikit-learn >= 0.18.1
...@@ -8,4 +7,4 @@ scipy >= 0.19.0 ...@@ -8,4 +7,4 @@ scipy >= 0.19.0
simpleutils >= 0.1.0 simpleutils >= 0.1.0
sqlalchemy >= 1.1.9 sqlalchemy >= 1.1.9
pandas >= 0.19.2 pandas >= 0.19.2
Finance-Python >= 0.5.5 Finance-Python >= 0.5.5
\ No newline at end of file
scripts/update_uqer_data.py deleted 100644 → 0
View file @ 30758656
# -*- coding: utf-8 -*-
"""
Created on 2017-5-20
@author: cheng.li
"""
import datetime as dt
import uqer
import sqlalchemy
import pandas as pd
from airflow.operators.python_operator import PythonOperator
from airflow.models import DAG
from uqer import DataAPI as api
from alphamind.utilities import alpha_logger
from sqlalchemy import select, and_, or_, delete
from PyFin.api import advanceDateByCalendar
from PyFin.api import isBizDay
from alphamind.data.dbmodel.models import *
uqer.DataAPI.api_base.timeout = 300
start_date = dt.datetime(2017, 8, 22)
dag_name = 'update_uqer_data_postgres'
default_args = {
'owner': 'wegamekinglc',
'depends_on_past': False,
'start_date': start_date
}
dag = DAG(
dag_id=dag_name,
default_args=default_args,
schedule_interval='0 6 * * 1,2,3,4,5'
)
_ = uqer.Client(token='')
engine = sqlalchemy.create_engine('')
def process_date(ds):
alpha_logger.info("Loading data at {0}".format(ds))
this_date = dt.datetime.strptime(ds, '%Y-%m-%d')
ref_date = this_date.strftime('%Y%m%d')
return ref_date, this_date
def format_data(df, format='%Y%m%d'):
df['Date'] = pd.to_datetime(df['Date'], format=format)
def check_holiday(this_date):
flag = isBizDay('china.sse', this_date)
if not flag:
alpha_logger.info('Job will be omitted as {0} is a holiday'.format(this_date))
return flag
def data_info_log(df, table):
data_len = len(df)
if data_len > 0:
alpha_logger.info("{0} records will be inserted in {1}".format(data_len, table))
else:
msg = "No records will be inserted in {0}".format(table)
alpha_logger.warning(msg)
raise ValueError(msg)
def update_uqer_factors(ds, **kwargs):
ref_date, this_date = process_date(ds)
flag = check_holiday(this_date)
if not flag:
return
df = api.MktStockFactorsOneDayProGet(tradeDate=ref_date)
df.rename(columns={'tradeDate': 'Date', 'ticker': 'Code'}, inplace=True)
df.Code = df.Code.astype(int)
del df['secID']
query = delete(Uqer).where(Uqer.Date == this_date)
engine.execute(query)
data_info_log(df, Uqer)
format_data(df, format='%Y-%m-%d')
df.to_sql(Uqer.__table__.name, engine, index=False, if_exists='append')
def update_uqer_market(ds, **kwargs):
ref_date, this_date = process_date(ds)
flag = check_holiday(this_date)
if not flag:
return
df = api.MktEqudGet(tradeDate=ref_date)
df.rename(columns={'tradeDate': 'Date', 'ticker': 'Code'}, inplace=True)
df.Code = df.Code.astype(int)
del df['secID']
query = delete(Market).where(Market.Date == this_date)
engine.execute(query)
data_info_log(df, Market)
format_data(df, format='%Y-%m-%d')
df.to_sql(Market.__table__.name, engine, index=False, if_exists='append')
def update_uqer_halt_list(ds, **kwargs):
ref_date, this_date = process_date(ds)
flag = check_holiday(this_date)
if not flag:
return
df = api.SecHaltGet(beginDate=ref_date, endDate=ref_date)
df = df[df.assetClass == 'E']
df['Date'] = ref_date
df.rename(columns={'ticker': 'Code'}, inplace=True)
df.Code = df.Code.astype(int)
del df['secID']
query = delete(HaltList).where(HaltList.Date == this_date)
engine.execute(query)
data_info_log(df, HaltList)
format_data(df)
df.to_sql(HaltList.__table__.name, engine, index=False, if_exists='append')
def update_uqer_universe_hs300(ds, **kwargs):
ref_date, this_date = process_date(ds)
flag = check_holiday(this_date)
if not flag:
return
query = delete(Universe).where(
and_(
Universe.Date == this_date,
Universe.universe == 'hs300'
)
)
engine.execute(query)
query = select([IndexComponent.Date, IndexComponent.Code]).where(
and_(
IndexComponent.Date == this_date,
IndexComponent.indexCode == 300
)
)
df = pd.read_sql(query, engine)
if df.empty:
return
df['universe'] = 'hs300'
data_info_log(df, Universe)
format_data(df)
df.to_sql(Universe.__table__.name, engine, index=False, if_exists='append')
def update_uqer_universe_sh50(ds, **kwargs):
ref_date, this_date = process_date(ds)
flag = check_holiday(this_date)
if not flag:
return
query = delete(Universe).where(
and_(
Universe.Date == this_date,
Universe.universe == 'sh50'
)
)
engine.execute(query)
query = select([IndexComponent.Date, IndexComponent.Code]).where(
and_(
IndexComponent.Date == this_date,
IndexComponent.indexCode == 16
)
)
df = pd.read_sql(query, engine)
if df.empty:
return
df['universe'] = 'sh50'
data_info_log(df, Universe)
format_data(df)
df.to_sql(Universe.__table__.name, engine, index=False, if_exists='append')
def update_uqer_universe_zz500(ds, **kwargs):
ref_date, this_date = process_date(ds)
flag = check_holiday(this_date)
if not flag:
return
query = delete(Universe).where(
and_(
Universe.Date == this_date,
Universe.universe == 'zz500'
)
)
engine.execute(query)
query = select([IndexComponent.Date, IndexComponent.Code]).where(
and_(
IndexComponent.Date == this_date,
IndexComponent.indexCode == 905
)
)
df = pd.read_sql(query, engine)
if df.empty:
return
df['universe'] = 'zz500'
data_info_log(df, Universe)
format_data(df)
df.to_sql(Universe.__table__.name, engine, index=False, if_exists='append')
def update_uqer_universe_zz800(ds, **kwargs):
ref_date, this_date = process_date(ds)
flag = check_holiday(this_date)
if not flag:
return
query = delete(Universe).where(
and_(
Universe.Date == this_date,
Universe.universe == 'zz800'
)
)
engine.execute(query)
query = select([IndexComponent.Date, IndexComponent.Code]).where(
and_(
IndexComponent.Date == this_date,
IndexComponent.indexCode == 906
)
)
df = pd.read_sql(query, engine)
if df.empty:
return
df['universe'] = 'zz800'
data_info_log(df, Universe)
format_data(df)
df.to_sql(Universe.__table__.name, engine, index=False, if_exists='append')
def update_uqer_universe_security_master(ds, **kwargs):
ref_date, this_date = process_date(ds)
flag = check_holiday(this_date)
if not flag:
return
df = api.EquGet(equTypeCD='A')
if df.empty:
return
query = delete(SecurityMaster)
engine.execute(query)
df = df[df.ticker.str.len() <= 6]
df['Code'] = df.ticker.astype(int)
df['listDate'] = pd.to_datetime(df['listDate'], format='%Y-%m-%d')
df['endDate'] = pd.to_datetime(df['endDate'], format='%Y-%m-%d')
df['delistDate'] = pd.to_datetime(df['delistDate'], format='%Y-%m-%d')
del df['ticker']
del df['secID']
data_info_log(df, SecurityMaster)
df.to_sql(SecurityMaster.__table__.name, engine, index=False, if_exists='append')
def update_uqer_universe_ashare(ds, **kwargs):
ref_date, this_date = process_date(ds)
flag = check_holiday(this_date)
if not flag:
return
query = delete(Universe).where(
and_(
Universe.Date == this_date,
Universe.universe == 'ashare'
)
)
engine.execute(query)
query = select([SecurityMaster.Code]).where(
and_(
SecurityMaster.listDate <= this_date,
or_(
SecurityMaster.listStatusCD == 'L',
SecurityMaster.delistDate > this_date
)
)
)
df = pd.read_sql(query, engine)
if df.empty:
return
df['universe'] = 'ashare'
df['Date'] = this_date
data_info_log(df, Universe)
df.to_sql(Universe.__table__.name, engine, index=False, if_exists='append')
def update_uqer_universe_ashare_ex(ds, **kwargs):
ref_date, this_date = process_date(ds)
flag = check_holiday(this_date)
if not flag:
return
query = delete(Universe).where(
and_(
Universe.Date == this_date,
Universe.universe == 'ashare_ex'
)
)
engine.execute(query)
ex_date = advanceDateByCalendar('china.sse', this_date, '-3m')
query = select([SecurityMaster.Code]).where(
and_(
SecurityMaster.listDate <= ex_date,
or_(
SecurityMaster.listStatusCD == "L",
SecurityMaster.delistDate > this_date
)
)
)
df = pd.read_sql(query, engine)
if df.empty:
return
df['universe'] = 'ashare_ex'
df['Date'] = this_date
data_info_log(df, Universe)
df.to_sql(Universe.__table__.name, engine, index=False, if_exists='append')
def update_uqer_index_components(ds, **kwargs):
ref_date, this_date = process_date(ds)
flag = check_holiday(this_date)
if not flag:
return
index_codes = ['000001',
'000002',
'000003',
'000004',
'000005',
'000006',
'000007',
'000008',
'000009',
'000010',
'000015',
'000016',
'000020',
'000090',
'000132',
'000133',
'000300',
'000852',
'000902',
'000903',
'000904',
'000905',
'000906',
'000907',
'000922',
'399001',
'399002',
'399004',
'399005',
'399006',
'399007',
'399008',
'399009',
'399010',
'399011',
'399012',
'399013',
'399107',
'399324',
'399330',
'399333',
'399400',
'399401',
'399649']
total_data = pd.DataFrame()
for index in index_codes:
df = api.IdxCloseWeightGet(ticker=index,
beginDate=ref_date,
endDate=ref_date)
if df.empty:
ref_previous_date = advanceDateByCalendar('china.sse', this_date, '-1b')
query = select([IndexComponent]).where(
and_(
IndexComponent.Date == ref_previous_date,
IndexComponent.indexCode == int(index)
)
)
df = pd.read_sql(query, engine)
df['Date'] = this_date
if df.empty:
continue
else:
df.rename(columns={'ticker': 'indexCode',
'secShortName': 'indexShortName',
'consTickerSymbol': 'Code',
'consExchangeCD': 'exchangeCD',
'consShortName': 'secShortName'}, inplace=True)
df['indexCode'] = df.indexCode.astype(int)
df['Code'] = df.Code.astype(int)
df['Date'] = this_date
del df['secID']
del df['consID']
total_data = total_data.append(df)
query = delete(IndexComponent).where(IndexComponent.Date == this_date)
engine.execute(query)
if total_data.empty:
return
data_info_log(total_data, IndexComponent)
format_data(total_data)
total_data.to_sql(IndexComponent.__table__.name, engine, index=False, if_exists='append')
def update_uqer_risk_model(ds, **kwargs):
ref_date, this_date = process_date(ds)
flag = check_holiday(this_date)
if not flag:
return
df = api.RMExposureDayGet(tradeDate=ref_date)
df.rename(columns={'tradeDate': 'Date', 'ticker': 'Code'}, inplace=True)
df.Code = df.Code.astype(int)
del df['secID']
engine.execute(delete(RiskExposure).where(RiskExposure.Date == this_date))
data_info_log(df, RiskExposure)
format_data(df)
df.to_sql(RiskExposure.__table__.name, engine, index=False, if_exists='append')
df = api.RMFactorRetDayGet(tradeDate=ref_date)
df.rename(columns={'tradeDate': 'Date'}, inplace=True)
engine.execute(delete(RiskReturn).where(RiskReturn.Date == this_date))
data_info_log(df, RiskReturn)
format_data(df)
df.to_sql(RiskReturn.__table__.name, engine, index=False, if_exists='append')
df = api.RMSpecificRetDayGet(tradeDate=ref_date)
df.rename(columns={'tradeDate': 'Date', 'ticker': 'Code'}, inplace=True)
df.Code = df.Code.astype(int)
del df['secID']
engine.execute(delete(SpecificReturn).where(SpecificReturn.Date == this_date))
data_info_log(df, SpecificReturn)
format_data(df)
df.to_sql(SpecificReturn.__table__.name, engine, index=False, if_exists='append')
df = api.RMCovarianceDayGet(tradeDate=ref_date)
df.rename(columns={'tradeDate': 'Date'}, inplace=True)
engine.execute(delete(RiskCovDay).where(RiskCovDay.Date == this_date))
data_info_log(df, RiskCovDay)
format_data(df)
df.to_sql(RiskCovDay.__table__.name, engine, index=False, if_exists='append')
df = api.RMCovarianceShortGet(tradeDate=ref_date)
df.rename(columns={'tradeDate': 'Date'}, inplace=True)
engine.execute(delete(RiskCovShort).where(RiskCovShort.Date == this_date))
data_info_log(df, RiskCovShort)
format_data(df)
df.to_sql(RiskCovShort.__table__.name, engine, index=False, if_exists='append')
df = api.RMCovarianceLongGet(tradeDate=ref_date)
df.rename(columns={'tradeDate': 'Date'}, inplace=True)
engine.execute(delete(RiskCovLong).where(RiskCovLong.Date == this_date))
data_info_log(df, RiskCovLong)
format_data(df)
df.to_sql(RiskCovLong.__table__.name, engine, index=False, if_exists='append')
df = api.RMSriskDayGet(tradeDate=ref_date)
df.rename(columns={'tradeDate': 'Date', 'ticker': 'Code'}, inplace=True)
df.Code = df.Code.astype(int)
del df['secID']
engine.execute(delete(SpecificRiskDay).where(SpecificRiskDay.Date == this_date))
data_info_log(df, SpecificRiskDay)
format_data(df)
df.to_sql(SpecificRiskDay.__table__.name, engine, index=False, if_exists='append')
df = api.RMSriskShortGet(tradeDate=ref_date)
df.rename(columns={'tradeDate': 'Date', 'ticker': 'Code'}, inplace=True)
df.Code = df.Code.astype(int)
del df['secID']
engine.execute(delete(SpecificRiskShort).where(SpecificRiskShort.Date == this_date))
data_info_log(df, SpecificRiskShort)
format_data(df)
df.to_sql(SpecificRiskShort.__table__.name, engine, index=False, if_exists='append')
df = api.RMSriskLongGet(tradeDate=ref_date)
df.rename(columns={'tradeDate': 'Date', 'ticker': 'Code'}, inplace=True)
df.Code = df.Code.astype(int)
del df['secID']
engine.execute(delete(SpecificRiskLong).where(SpecificRiskLong.Date == this_date))
data_info_log(df, SpecificRiskLong)
format_data(df)
df.to_sql(SpecificRiskLong.__table__.name, engine, index=False, if_exists='append')
def update_uqer_daily_return(ds, **kwargs):
ref_date, this_date = process_date(ds)
flag = check_holiday(this_date)
if not flag:
return
previous_date = advanceDateByCalendar('china.sse', this_date, '-1b').strftime('%Y-%m-%d')
query = select([Market.Code, Market.chgPct.label('d1')]).where(Market.Date == this_date)
df = pd.read_sql(query, engine)
df['Date'] = previous_date
engine.execute(delete(DailyReturn).where(DailyReturn.Date == this_date))
data_info_log(df, DailyReturn)
df.to_sql(DailyReturn.__table__.name, engine, index=False, if_exists='append')
def update_uqer_industry_info(ds, **kwargs):
ref_date, this_date = process_date(ds)
flag = check_holiday(this_date)
if not flag:
return
query = select([Market.Code]).where(Market.Date == this_date)
df = pd.read_sql(query, engine)
codes = df.Code.astype(str).str.zfill(6)
engine.execute(delete(Industry).where(Industry.Date == this_date))
df = api.EquIndustryGet(intoDate=ref_date)
df = df[df.ticker.isin(codes)]
df['Code'] = df.ticker.astype(int)
df['Date'] = this_date
df.rename(columns={'ticker': 'Code'}, inplace=True)
df = df[['Date',
'Code',
'industry',
'industryID',
'industrySymbol',
'industryID1',
'industryName1',
'industryID2',
'industryName2',
'industryID3',
'industryName3',
'IndustryID4',
'IndustryName4']]
data_info_log(df, Industry)
format_data(df)
df.to_sql(Industry.__table__.name, engine, index=False, if_exists='append')
def fetch_date(table, query_date, engine):
query_date = query_date.replace('-', '')
sql = "select * from {0} where Date = {1}".format(table, query_date)
df = pd.read_sql_query(sql, engine)
cols = df.columns.tolist()
cols[2] = '申万一级行业'
cols[3] = '申万二级行业'
cols[4] = '申万三级行业'
df.columns = cols
df['Date'] = pd.to_datetime(df.Date.astype(str))
return df
def update_legacy_factor(ds, **kwargs):
ref_date, this_date = process_date(ds)
flag = check_holiday(this_date)
if not flag:
return
ms_user = 'sa'
ms_pwd = 'A12345678!'
db = 'MultiFactor'
old_engine = sqlalchemy.create_engine(
'mssql+pymssql://{0}:{1}@10.63.6.219/{2}?charset=cp936'.format(ms_user, ms_pwd, db))
df = fetch_date('FactorData', ref_date, old_engine)
del df['申万一级行业']
del df['申万二级行业']
del df['申万三级行业']
engine.execute(delete(LegacyFactor).where(LegacyFactor.Date == this_date))
df.to_sql(LegacyFactor.__table__.name, engine, if_exists='append', index=False)
return 0
_ = PythonOperator(
task_id='update_uqer_factors',
provide_context=True,
python_callable=update_uqer_factors,
dag=dag
)
task = PythonOperator(
task_id='update_uqer_market',
provide_context=True,
python_callable=update_uqer_market,
dag=dag
)
sub_task1 = PythonOperator(
task_id='update_uqer_daily_return',
provide_context=True,
python_callable=update_uqer_daily_return,
dag=dag
)
sub_task2 = PythonOperator(
task_id='update_uqer_industry_info',
provide_context=True,
python_callable=update_uqer_industry_info,
dag=dag
)
sub_task1.set_upstream(task)
sub_task2.set_upstream(task)
task = PythonOperator(
task_id='update_uqer_index_components',
provide_context=True,
python_callable=update_uqer_index_components,
depends_on_past=True,
dag=dag
)
sub_task1 = PythonOperator(
task_id='update_uqer_universe_hs300',
provide_context=True,
python_callable=update_uqer_universe_hs300,
dag=dag
)
sub_task2 = PythonOperator(
task_id='update_uqer_universe_zz500',
provide_context=True,
python_callable=update_uqer_universe_zz500,
dag=dag
)
sub_task3 = PythonOperator(
task_id='update_uqer_universe_zz800',
provide_context=True,
python_callable=update_uqer_universe_zz800,
dag=dag
)
sub_task4 = PythonOperator(
task_id='update_uqer_universe_sh50',
provide_context=True,
python_callable=update_uqer_universe_sh50,
dag=dag
)
sub_task1.set_upstream(task)
sub_task2.set_upstream(task)
sub_task3.set_upstream(task)
sub_task4.set_upstream(task)
task = PythonOperator(
task_id='update_uqer_universe_security_master',
provide_context=True,
python_callable=update_uqer_universe_security_master,
dag=dag
)
sub_task1 = PythonOperator(
task_id='update_uqer_universe_ashare',
provide_context=True,
python_callable=update_uqer_universe_ashare,
dag=dag
)
sub_task2 = PythonOperator(
task_id='update_uqer_universe_ashare_ex',
provide_context=True,
python_callable=update_uqer_universe_ashare_ex,
dag=dag
)
sub_task1.set_upstream(task)
sub_task2.set_upstream(task)
_ = PythonOperator(
task_id='update_uqer_risk_model',
provide_context=True,
python_callable=update_uqer_risk_model,
dag=dag
)
_ = PythonOperator(
task_id='update_uqer_halt_list',
provide_context=True,
python_callable=update_uqer_halt_list,
dag=dag
)
_ = PythonOperator(
task_id='update_legacy_factor',
provide_context=True,
python_callable=update_legacy_factor,
dag=dag
)
if __name__ == '__main__':
update_uqer_index_components(ds='2017-08-17')
scripts/update_uqer_data_postgres.py
View file @ 2bfe7b2f
...@@ -656,31 +656,6 @@ def fetch_date(table, query_date, engine): ...@@ -656,31 +656,6 @@ def fetch_date(table, query_date, engine):
return df return df
def update_legacy_factor(ds, **kwargs):
ref_date, this_date = process_date(ds)
flag = check_holiday(this_date)
if not flag:
return
ms_user = 'sa'
ms_pwd = 'A12345678!'
db = 'MultiFactor'
old_engine = sqlalchemy.create_engine(
'mssql+pymssql://{0}:{1}@10.63.6.219/{2}?charset=cp936'.format(ms_user, ms_pwd, db))
df = fetch_date('FactorData', ref_date, old_engine)
del df['申万一级行业']
del df['申万二级行业']
del df['申万三级行业']
engine.execute(delete(LegacyFactor).where(LegacyFactor.trade_date == this_date))
df.to_sql(LegacyFactor.__table__.name, engine, if_exists='append', index=False)
return 0
def update_materialized_views(ds, **kwargs): def update_materialized_views(ds, **kwargs):
alpha_logger.info("starting refresh full_factor_view ...") alpha_logger.info("starting refresh full_factor_view ...")
engine.execute("REFRESH MATERIALIZED VIEW full_factor_view;") engine.execute("REFRESH MATERIALIZED VIEW full_factor_view;")
...@@ -688,34 +663,6 @@ def update_materialized_views(ds, **kwargs): ...@@ -688,34 +663,6 @@ def update_materialized_views(ds, **kwargs):
engine.execute("CLUSTER full_factor_view;") engine.execute("CLUSTER full_factor_view;")
def update_tiny_factor(ds, **kwargs):
ref_date, this_date = process_date(ds)
flag = check_holiday(this_date)
if not flag:
return
ms_user = 'sa'
ms_pwd = 'A12345678!'
db = 'PortfolioManagements500'
old_engine = sqlalchemy.create_engine(
'mssql+pymssql://{0}:{1}@10.63.6.219/{2}?charset=utf8'.format(ms_user, ms_pwd, db))
sql = "select * from AlphaFactors_Difeiyue where Date={date}".format(date=ref_date)
df = pd.read_sql(sql, old_engine)
df = df.rename(columns={'date': 'trade_date'})
df['trade_date'] = pd.to_datetime(df.trade_date.astype(str))
cols = list(df.columns)[:2] + ['CFinc1', 'BDTO', 'RVOL', 'CHV', 'VAL']
df = df[cols]
engine.execute(delete(Tiny).where(Tiny.trade_date == this_date))
df.to_sql(Tiny.__table__.name, engine, if_exists='append', index=False)
return 0
uqer_task = PythonOperator( uqer_task = PythonOperator(
task_id='update_uqer_factors', task_id='update_uqer_factors',
provide_context=True, provide_context=True,
...@@ -836,23 +783,6 @@ _ = PythonOperator( ...@@ -836,23 +783,6 @@ _ = PythonOperator(
dag=dag dag=dag
) )
legacy_factor_task = PythonOperator(
task_id='update_legacy_factor',
provide_context=True,
python_callable=update_legacy_factor,
dag=dag
)
tiny_task = PythonOperator(
task_id='update_tiny_factor',
provide_context=True,
python_callable=update_tiny_factor,
dag=dag
)
refresh_materialized_views_task = PythonOperator( refresh_materialized_views_task = PythonOperator(
task_id='update_materialized_views', task_id='update_materialized_views',
provide_context=True, provide_context=True,
...@@ -863,8 +793,6 @@ refresh_materialized_views_task = PythonOperator( ...@@ -863,8 +793,6 @@ refresh_materialized_views_task = PythonOperator(
refresh_materialized_views_task.set_upstream(market_task) refresh_materialized_views_task.set_upstream(market_task)
refresh_materialized_views_task.set_upstream(uqer_task) refresh_materialized_views_task.set_upstream(uqer_task)
refresh_materialized_views_task.set_upstream(legacy_factor_task)
refresh_materialized_views_task.set_upstream(tiny_task)
refresh_materialized_views_task.set_upstream(risk_model_task) refresh_materialized_views_task.set_upstream(risk_model_task)
......
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