mirror of
https://github.com/fastapiadmin/FastapiAdmin.git
synced 2026-09-22 13:05:18 +00:00
zhangtao
d2a863652e
- Added a "Start Here" section in both English and Chinese README files to guide new users on running the project locally and exploring its features. - Introduced backend conventions for date and serialization handling, clarifying the use of Pydantic v2 and PostgreSQL. - Updated the "Quick Start" section with detailed steps for first-time local setup, including environment requirements and backend setup instructions. - Improved overall structure and clarity of documentation to facilitate better understanding for developers and contributors.
29 lines
1.7 KiB
Python
29 lines
1.7 KiB
Python
from sqlalchemy import Boolean, Integer, String, Text
|
|
from sqlalchemy.orm import Mapped, mapped_column
|
|
|
|
from app.core.base_model import ModelMixin, UserMixin
|
|
|
|
|
|
class NodeModel(ModelMixin, UserMixin):
|
|
"""
|
|
节点类型模型 - 动态定义节点类型
|
|
"""
|
|
|
|
__tablename__: str = "task_node"
|
|
__table_args__: dict[str, str] = {"comment": "节点类型表"}
|
|
__loader_options__: list[str] = ["created_by", "updated_by"]
|
|
|
|
name: Mapped[str] = mapped_column(String(64), nullable=False, comment="节点名称")
|
|
code: Mapped[str] = mapped_column(String(32), nullable=False, unique=True, comment="节点编码")
|
|
jobstore: Mapped[str | None] = mapped_column(String(64), nullable=True, default="default", comment="存储器")
|
|
executor: Mapped[str | None] = mapped_column(String(64), nullable=True, default="default", comment="执行器")
|
|
trigger: Mapped[str | None] = mapped_column(String(64), nullable=True, comment="触发器")
|
|
trigger_args: Mapped[str | None] = mapped_column(Text, nullable=True, comment="触发器参数")
|
|
func: Mapped[str | None] = mapped_column(Text, nullable=True, comment="代码块")
|
|
args: Mapped[str | None] = mapped_column(Text, nullable=True, comment="位置参数")
|
|
kwargs: Mapped[str | None] = mapped_column(Text, nullable=True, comment="关键字参数")
|
|
coalesce: Mapped[bool] = mapped_column(Boolean, nullable=True, default=False, comment="是否合并运行")
|
|
max_instances: Mapped[int] = mapped_column(Integer, nullable=True, default=1, comment="最大实例数")
|
|
start_date: Mapped[str | None] = mapped_column(String(64), nullable=True, comment="开始时间")
|
|
end_date: Mapped[str | None] = mapped_column(String(64), nullable=True, comment="结束时间")
|