2026-05-26 23:01:22 +02:00
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"""AutomationRun state machine: pending → running → (succeeded|failed|cancelled|timed_out)."""
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feat(automation): add SQLAlchemy models for the three v1 tables
Three enums (one file each) plus three models (one file each), all
under app/automations/persistence/. The module imports from app.db
only (Base/BaseModel/TimestampMixin and FK targets searchspaces.id /
user.id); no business-logic imports.
Enums:
- AutomationStatus: active | paused | archived
- RunStatus: pending | running | succeeded | failed | cancelled
| timed_out
- TriggerType: schedule | manual (Phase-2/3 add webhook | event)
Models:
- Automation: search_space-scoped, created_by_user_id (SET NULL),
name + description, status enum, definition JSONB, version int,
updated_at with onupdate.
- AutomationTrigger: FK → automations (CASCADE), type enum, config
JSONB, enabled bool, last_fired_at. Webhook secret_hash is omitted
until Phase 2.
- AutomationRun: FK → automations (CASCADE), nullable trigger_id
(SET NULL — null = manual via UI), status enum,
definition_snapshot for immutable history, trigger_payload /
resolved_inputs / step_results / output / artifacts / error JSONB
columns, started_at / finished_at timestamps, agent_session_id for
linking to the LangGraph trace. cost_usd column omitted until at
least one v1 capability records token-level cost.
Verified: Base.metadata exposes all three table names; columns and
enums introspect as documented; no linter errors.
2026-05-26 22:42:50 +02:00
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from __future__ import annotations
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from enum import StrEnum
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class RunStatus(StrEnum):
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PENDING = "pending"
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RUNNING = "running"
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SUCCEEDED = "succeeded"
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FAILED = "failed"
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CANCELLED = "cancelled"
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TIMED_OUT = "timed_out"
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