Files
FabledSteward/steward/models/ansible.py
T

42 lines
1.8 KiB
Python

from __future__ import annotations
import enum
import uuid
from datetime import datetime, timezone
from sqlalchemy import JSON, DateTime, Enum, ForeignKey, String, Text
from sqlalchemy.orm import Mapped, mapped_column
from .base import Base
class AnsibleRunStatus(str, enum.Enum):
running = "running"
success = "success"
failed = "failed"
interrupted = "interrupted"
class AnsibleRun(Base):
__tablename__ = "ansible_runs"
id: Mapped[str] = mapped_column(String(36), primary_key=True, default=lambda: str(uuid.uuid4()))
playbook_path: Mapped[str] = mapped_column(String(512), nullable=False)
inventory_path: Mapped[str | None] = mapped_column(String(512), nullable=True)
inventory_scope: Mapped[str] = mapped_column(
String(255), nullable=False, default="steward:all"
)
source_name: Mapped[str] = mapped_column(String(128), nullable=False)
# Nullable: automated runs (alert actions, schedules) have no human actor —
# NULL renders as "system". Manual runs still record the triggering user.
triggered_by: Mapped[str | None] = mapped_column(
String(36), ForeignKey("users.id", ondelete="RESTRICT"), nullable=True
)
status: Mapped[AnsibleRunStatus] = mapped_column(
Enum(AnsibleRunStatus), nullable=False, default=AnsibleRunStatus.running
)
started_at: Mapped[datetime] = mapped_column(
DateTime(timezone=True), nullable=False, default=lambda: datetime.now(timezone.utc)
)
finished_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True)
output: Mapped[str | None] = mapped_column(Text, nullable=True)
# Optional run parameters: {extra_vars: [..], limit: str, tags: str, check: bool}.
params: Mapped[dict | None] = mapped_column(JSON, nullable=True)