airflow_scheduler/dags/config.py

# config.py

# PostgreSQL 连接信息
PG_CONFIG = {
    "host": "localhost",
    "port": 5432,
    "user": "postgres",
    "password": "postgres",
    "database": "dataops",
}

# Neo4j 连接信息
NEO4J_CONFIG = {
    "uri": "bolt://192.168.67.1:7687",
    "user": "neo4j",
    "password": "Passw0rd",
}

# Airflow 自身配置（如果有需要，例如用 REST API 触发其他 DAG）
AIRFLOW_CONFIG = {
    "base_url": "http://localhost:8080",
    "username": "admin",
    "password": "admin",
}

# 脚本文件基础路径配置
# 部署到 Airflow 环境时使用此路径
SCRIPTS_BASE_PATH = "/opt/airflow/dataops/scripts"

# 本地开发环境脚本路径（如果需要区分环境）
# LOCAL_SCRIPTS_BASE_PATH = "/path/to/local/scripts"

# 资源表加载并行度
RESOURCE_LOADING_PARALLEL_DEGREE = 4  # 可根据环境调整