气流-损坏的DAG：[/ var / app / current / dags / product / product_snapshot.py]'模块'对象不可调用

Question

我正在尝试在Airflow中构建DAG。由于这是一个新项目，因此我创建了一个新文件夹，其中包含所有与产品相关的DAG。我得到了破碎的DAG'模块'对象不可调用。没有DAG ID，也没有任何函数被命名为文件，因此我不理解“模块”错误。 我应该对创建的新文件夹执行任何操作

import pandas as pd
import psycopg2
import datetime
import io
from airflow import DAG
from airflow.models import Variable
from airflow.hooks.base_hook import BaseHook
from airflow.operators.python_operator import PythonOperator
from airflow.operators.postgres_operator import PostgresOperator

# ----------------------------------------------------------------------------------------------------------------------
# Connections
# ----------------------------------------------------------------------------------------------------------------------


def db1_conn():
    # Core Credentials
    db1_hook = BaseHook.get_connection('db1')
    db1_conn = psycopg2.connect(dbname=db1_hook.schema, user=db1_hook.login,
                                 password=db1_hook.password, host=db1_hook.host,
                                 port=db1_hook.port)
    return db1_conn


def db2_write():
    # Core Write
    db2_hook = BaseHook.get_connection('db2-write')
    db2_conn = psycopg2.connect(dbname=db2_hook.schema, user=db2_hook.login,
                                 password=db2_hook.password, host=db2_hook.host,
                                 port=db2_hook.port)
    return db2_conn


# ----------------------------------------------------------------------------------------------------------------------
# Python Callable
# ----------------------------------------------------------------------------------------------------------------------


def run_this():
    query = f"""
            SELECT DISTINCT ON (userid) 0                                    AS id,
                                        '{month}'::timestamp                 AS month,
                                        userid,
                                        balance,
                                        transactiondate                      AS last_transaction_date,
                                        transactionexternaluniqueid          AS last_transaction_unique_id
            FROM public.product_view
            WHERE transactiondate < '{month}'
            ORDER BY userid, transactiondate DESC
            """
    data = pd.read_sql(query, db1_conn())
    # Index.
    index_query = """
                  SELECT COALESCE(MAX(id), 0)::INT AS id
                  FROM schema.product_snapshot
                  """
    index_start = pd.read_sql(index_query, db1_conn)
    data['id'] = data.index + index_start + 1
    # Write on table.
    buf = io.StringIO()
    stoplightdata_buffer.write(data.to_csv(index=None, header=None))
    buf.seek(0)
    conn = core_write()
    cur = conn.cursor()
    cur.copy_from(buf, table='schema.product_snapshot', sep=',', null='')
    conn.commit()


# ----------------------------------------------------------------------------------------------------------------------
# DAG
# ----------------------------------------------------------------------------------------------------------------------

DAG_NAME = 'product_snapshot_dag'

args = {
    'owner': 'airflow',
    'start_date': datetime(2020, 3, 22),
    'email': [ 'email@email.com'],
    'email_on_failure': True,
    'email_on_retry': False,
    'retries': 2,
    'retry_delay': timedelta(minutes=2),
    'sla': timedelta(minutes=30),
    'execution_timeout': timedelta(minutes=50)
}

dag = DAG(DAG_NAME,
          schedule_interval='1 * 1 * *',
          default_args=args)

# ----------------------------------------------------------------------------------------------------------------------
# Postgres Operator
# ----------------------------------------------------------------------------------------------------------------------

product_table_creation = PostgresOperator(task_id='product_table_creation',
                                          postgres_conn_id='connection',
                                          sql='sql/product_table_creation.sql',
                                          dag=dag)

# ----------------------------------------------------------------------------------------------------------------------
# Python Operator
# ----------------------------------------------------------------------------------------------------------------------


product_snapshot_data = PythonOperator(task_id='product_snapshot_data',
                                       provide_context=True,
                                       python_callable=run_this,
                                       dag=dag)


product_table_creation >> product_snapshot_data


if __name__ == "__main__":
    dag.cli()

DAG的新文件夹是其他DAG的文件夹之一。