bvandeusen
fb579bcf97
Foundation for the Ansible automation milestone (#37) — makes the existing manual playbook runner actually executable and the schema automation-ready. - pyproject: [ansible] extra (full ansible package, batteries-included, pinned) - Dockerfile: pip install .[ansible]; add openssh-client for remote runs - models/ansible.py + migration 0012: AnsibleRun.triggered_by now nullable so automated (alert/schedule) runs need no human actor - ansible/routes.py + run_detail.html: show 'Triggered by' (username or 'system') - CI: integration lane installs .[dev,ansible]; new tests/integration/ test_ansible_foundation.py runs a real connection:local playbook end-to-end, asserts success+output, and round-trips a NULL-triggered run No extra-vars/limit/credentials/scheduling here — those are their own #37 tasks. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
37 lines
1.5 KiB
Python
37 lines
1.5 KiB
Python
from __future__ import annotations
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import enum
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import uuid
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from datetime import datetime, timezone
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from sqlalchemy import DateTime, Enum, ForeignKey, String, Text
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from sqlalchemy.orm import Mapped, mapped_column
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from .base import Base
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class AnsibleRunStatus(str, enum.Enum):
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running = "running"
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success = "success"
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failed = "failed"
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interrupted = "interrupted"
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class AnsibleRun(Base):
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__tablename__ = "ansible_runs"
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id: Mapped[str] = mapped_column(String(36), primary_key=True, default=lambda: str(uuid.uuid4()))
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playbook_path: Mapped[str] = mapped_column(String(512), nullable=False)
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inventory_path: Mapped[str] = mapped_column(String(512), nullable=False)
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source_name: Mapped[str] = mapped_column(String(128), nullable=False)
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# Nullable: automated runs (alert actions, schedules) have no human actor —
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# NULL renders as "system". Manual runs still record the triggering user.
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triggered_by: Mapped[str | None] = mapped_column(
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String(36), ForeignKey("users.id", ondelete="RESTRICT"), nullable=True
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)
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status: Mapped[AnsibleRunStatus] = mapped_column(
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Enum(AnsibleRunStatus), nullable=False, default=AnsibleRunStatus.running
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)
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started_at: Mapped[datetime] = mapped_column(
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DateTime(timezone=True), nullable=False, default=lambda: datetime.now(timezone.utc)
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)
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finished_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True)
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output: Mapped[str | None] = mapped_column(Text, nullable=True)
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