bvandeusen
8b62eb2ca3
Run form + executor now support optional params, passed as argv (never shell-interpolated): - extra_vars: one key=value per line -> repeated -e - limit -> --limit; tags -> --tags - dry-run checkbox -> --check --diff - executor.py: pure build_ansible_command(playbook, inventory, params); start_run gains an optional params arg (backward-compatible) - models/ansible.py + migration 0013: nullable params JSON column - routes.py: create_run parses + validates (extra-var lines need '='), stores params on the run, passes to the executor - browse.html run form: Extra vars / Limit / Tags / Dry-run fields - run_detail.html: shows the params used - tests/test_ansible_command.py: unit coverage of the builder; integration test runs a real playbook with extra-var + limit + check and asserts substitution Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
39 lines
1.6 KiB
Python
39 lines
1.6 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 JSON, 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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# Optional run parameters: {extra_vars: [..], limit: str, tags: str, check: bool}.
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params: Mapped[dict | None] = mapped_column(JSON, nullable=True)
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