mirror of
https://github.com/rennf93/roboco.git
synced 2026-08-03 07:23:24 +02:00
* fix(panel): cap dialog height and pin footer so actions stay reachable
Shared DialogContent now caps at max-h-[85vh] with overflow-y-auto, and the
footer is sticky to the bottom. Long content (e.g. a pasted change-request
note) no longer pushes the submit/cancel buttons past the viewport — the body
scrolls while the actions stay visible. No-op on dialogs that already fit.
* feat(notifications): suppress duplicate same-purpose notifications at send
A notification is not created when an unacknowledged one with the same purpose
— same sender, same type, same task, overlapping recipients — already exists.
Body text is not compared, so rewording cannot defeat it; a different type,
task, sender, or an already-acked recipient all still send through. Stops
agents that loop re-issuing the same signal from piling up unread that
soft-blocks the recipient's idle path.
* fix(gateway): stop board/PM lifecycle verbs from 500-crashing
Two unguarded crashes that wedged the org in respawn/escalate loops:
- escalate_to_ceo dereferenced None.status when the verb runner declined the
escalation (task not in awaiting_pm_review — e.g. a board agent escalating a
blocked task). It now returns a clean invalid_state. The message/remediate
build moved to a helper so the function stays within the complexity gate.
- The coordination-root git ops (pr_target, pr_merge, PR update, branch-token
resolve) called UUID(str(task.project_id)) directly, which raised on a
coordination/integration task (project_id is None — 'badly formed hexadecimal
UUID string'). They now resolve through _project_for_task, which falls back to
the product's repo for project-less roots.
* refactor(intake): split out _block_to_chunk per-block classifier
Extract the per-block classification from _blocks_to_chunks so each function
stays within the xenon cyclomatic-complexity gate (was rank C). Behaviour is
unchanged — verified by the existing intake_driver tests.
* feat(gateway): make the i_am_idle unread soft-block satisfiable
The soft-block on unread A2A / @mentions had no clearing path, so once those
briefing fields populated an agent could never idle — a whole-org deadlock.
Keep the guard (it is correct) and add the missing clear paths:
- New read_messages content verb (schema -> route -> handler ->
a2a.mark_all_read -> MCP tool -> role do_tools): bulk-zeroes the caller's
unread A2A and stamps read_at. The idle hint now points to it.
- list_unread_mentions returns UNACKED MENTION-type notifications (each @mention
already raises one via messaging._notify_mentions) instead of raw,
unconditional mentions, so they clear via the existing notify_ack. No schema
migration needed.
The soft-block is now satisfiable: A2A via read_messages, mentions and
notifications via notify_ack.
* fix(tests): repair notification-dedup db.scalar mocks + prompter agent seeding
The notification send-dedup added a db.scalar() purpose-lookup to
_create_notification; the two hand-rolled _FakeDb test stubs (test_notification,
test_a2a_priority_tristate) had no scalar() method → AttributeError. Add
scalar() returning None (no duplicate) so creation proceeds.
Separately, the prompter '& Start' route tests assign the draft to a fixed
product-owner / main-pm AGENT_UUID but only seeded system + CEO, so the
assigned_to FK failed in isolation (and main-pm flaked in the full suite). Seed
both via idempotent merge() in _seed_project_and_ceo.
* fix(git): gitignore .pnpm-store + flag GH001 push rejection as permanent
A dev once committed the ~115 MB pnpm store → GitHub GH001 (>100 MB) pre-receive
reject → open_pr retry-loop. Two root fixes:
- Add .pnpm-store/ to .gitignore — an ignored dir can't be staged by any git add.
- push() restates a GH001 / file-size rejection as an unmistakable PERMANENT
error pointing at i_am_blocked, so the agent stops blind-retrying a push that
can never succeed (it otherwise mis-reads the raw output as a transient timeout).
The per-verb retry cap (open_pr: 5) already bounded the burn; this ends it.
* fix(gateway): accept a PM decision note as satisfying the complete/submit_up reflect gate
A cell/main PM that wrote a fresh decision but no separate reflect note bounced
on the reflect tracing-gate indefinitely (re-confirmed live: cell PMs looped on
cell_pm_complete -> journal:reflect until reaped, burning tokens — worse because
each respawn resets the per-verb retry cap). For a PM closing/submitting a task
the decision note already documents the close; the separate reflect is the
redundant artifact weak-model PMs forget. Accept a fresh decision as satisfying
reflect for complete + submit_up — the gate still requires a decision +
substantive notes, so the close stays documented.
NOTE (enforcement tradeoff, flagged for CEO review): this intentionally relaxes
the PM complete/submit_up gate. It does NOT touch the developer i_am_done gate.
* feat(gateway): refuse i_am_idle when a PM still owns a task awaiting its review
A cell/main PM once tried to 'send work back' by DMing the developer and going
idle — but a DM changes no task state, so the task stayed awaiting_pm_review and
the orchestrator just re-dispatched the PM in a loop. i_am_idle now refuses (like
the pending-assignment guard) when a PM owns an awaiting_pm_review task, with a
clear remediation: complete() to finish, or reassign()/delegate() to route it
back. PM-only; devs/QA/doc unaffected. Pairs with the reflect-gate relaxation so
the PM can actually complete instead of looping.
* feat(gateway): push a prior-work handoff digest into task-scoped briefings
A freshly spawned or respawned agent previously started cold on every
lifecycle hand-off: the prior worker's PR, commits, acceptance status and
journal highlights lived in task evidence but were pull-on-demand, so each
new role agent re-explored the codebase from scratch — wasted tokens and
fragile context loss across respawns.
build_task_handoff() composes a compact, DB-only digest (no git diff) and
_briefing_for() now attaches it to context_briefing whenever the caller
already holds the task row. The digest is built only from a passed-in task,
so there are zero extra fetches: every resumption entry point (give_me_work
and pm_give_me_work, i_will_work_on, i_will_plan, triage/triage_all,
i_am_done, submit_up, escalate_up, complete) threads the loaded task, while
id-only correction/rejection paths cleanly omit it.
Every field is type-guarded so a partial row never leaks a non-serialisable
value into the envelope.
* docs(prompts): tell agents to resume from the briefing handoff before re-exploring
The base prompt described the success envelope but never told agents to act
on context_briefing, so a respawned or hand-off agent would re-scan the
whole repo and re-derive the plan even when the briefing already carried the
prior worker's PR, commits, acceptance status and journal highlights.
Adds a 'Resume from your briefing' section that walks each task_handoff
field and instructs the agent to continue from it — and to read the unread
A2A / mention / notification lists, which are messages addressed to them.
Pairs with the gateway change that now pushes task_handoff into every
task-scoped briefing.
* feat(tasks): remember cleared dependencies so the unblock briefing can surface them
When an upstream dependency completed, _unblock_dependents removed its id from
the dependent's dependency_ids to let it be claimed — destroying the only
record of which upstream task had just landed. The revived dependent then
re-discovered that work from cold.
Adds tasks.completed_dependency_ids (Alembic 026, uuid[] default '{}'):
_unblock_dependents now appends the cleared id there instead of only dropping
it, and the briefing handoff digest surfaces it so the agent picking the task
back up knows its blocker cleared because that upstream work shipped. The base
prompt documents the field.
Migration round-trip verified against postgres (upgrade adds the column,
downgrade drops it).
* docs(prompts): instruct PMs to split oversized tasks into per-concern subtasks
A subtask carrying a long acceptance list or spanning multiple layers/files
drove repeated QA failures and a PM revision loop — QA can't pass a partial,
and the dev keeps re-touching unrelated parts. Nothing in the PM prompts told
them to decompose by size/concern.
cell_pm gets a 'Sizing' rule: one subtask = one focused concern with ~2-4
criteria and its own dev->QA pass; decompose anything larger before
delegating, sequencing with dependencies. main_pm gets a matching reminder to
scope each cell's slice to that cell's layer rather than handing a cell a
cross-layer monolith that just pushes the problem down a level.
* fix(gateway): mirror the task= kwarg on ChoreographerHelpers helper signatures
The handoff-digest change added a keyword-only task= parameter to
_briefing_for and _build_tracing_gap in _impl, but the ChoreographerHelpers
base that the role mixins inherit still declared the old signatures, so the
composed Choreographer had two incompatible base definitions (mypy [misc]).
Sync the base declarations to match.
* fix(tasks): keep the owner on a substitute-out so the task isn't orphaned
build_substitute_update unconditionally nulled assigned_to, so any
substitute that routes to PENDING (max_retries, low_context, out_of_scope_*)
— the path a verb hitting repeated 500s or its retry limit takes — left the
task pending AND unassigned. The dispatcher only respawns a pending task when
it has an owner, so the task went dormant: no agent ever picked it back up.
Keep the task with its current owner instead. A substitute-out is almost
always a transient stall, so the task re-dispatches to the SAME agent, which
resumes from the briefing handoff. Only the task_complete -> PM-review handoff
changes owner (unchanged).
* feat(a2a): suppress duplicate unread A2A messages at send
A respawned or retrying agent could re-emit the same DM, stacking identical
copies on the recipient's inbox and re-bumping the unread count — noise that
the recipient then has to clear. The notification path already dedups; A2A did
not.
send_chat_message now suppresses a send when an identical message from the
same sender is still unread in the conversation, keyed on (conversation,
sender, message_kind, content). Genuinely different messages are never
collapsed (verified: distinct content still produces distinct rows), so this
avoids the earlier per-pair over-suppression. No migration.
* fix(panel): default the notifications view to Unread, not All
Landing on the All tab buried new notifications under everything already
seen — the most-reported annoyance. The Unread tab is the actionable view, so
make it the default; the All/Pending tabs are one click away.
* fix(panel): show clone progress during intake prep instead of a frozen pill
The first clone of a repo can take a few minutes, during which the intake
form showed only a static 'Preparing the agent…' button — indistinguishable
from a hang. Add a progress region while preparing: an elapsed timer, a
saturating progress bar (approaches but never reaches 100% until the agent
actually answers), and staged copy (spinning up → cloning → first-clone-takes-
a-while → reading the codebase) so the wait reads as work, not a freeze.
* feat(docs): index workspace-authored docs that never reached the RAG store
Docs written through roboco_docs_write land at /app/docs on the orchestrator
and index fine. But a documenter can also write docs with Edit/Write directly
in its own clone (README, CHANGELOG, workspace markdown); those resolve to a
/app/docs path that doesn't exist on the orchestrator, so the indexer reads
nothing and the docs never become searchable — a cross-container miss with no
shared mount to bridge it.
On docs completion, capture each listed doc's committed content out of the
branch (new GitService.read_file_at_branch, via git show) and write it
server-side under /app/docs before indexing, so workspace-authored docs reach
RAG too. Docs already present server-side are skipped; absolute paths and
unreadable/uncommitted files are passed over best-effort.
* feat(prompter): survive a browser reload by reconnecting to the live intake chat
The intake chat lived entirely in React state, so a page reload wiped it and
dropped the human back to the scope form — even though the agent container
outlives the page. Now the chat persists a small TTL'd slice (session id,
messages, scope, draft) to localStorage and, on mount, reconnects: it asks the
new GET /live/{id}/status whether the session is still running and, if so,
restores the history and reopens the SSE stream; if dead or expired it clears
and shows the form. A full reload doesn't run React effect cleanup, so the
navigate-away reap never fires on refresh and the session stays up.
Backend adds the status endpoint + PrompterLiveRegistry.is_alive; localStorage
is cleared on confirm, start-another, and SPA navigate-away.
* chore: remove internal session-bookkeeping refs from code comments (part 1)
Strip leaked task/finding numbers, Wave/Phase/cluster/audit labels from
docstrings and comments across services, foundation policy, runtime, mcp,
api schemas, and agent_sdk — they mean nothing to a repo reader and expose
process internals. Wording preserved; only the labels dropped. Done by hand,
one comment at a time (no scripted rewrite). _impl.py follows separately.
* chore: remove internal session-bookkeeping refs from code comments (part 2)
Finishes the manual scrub: the choreographer _impl.py docstrings/comments plus
the remaining dogfood-run ('smoke-N') labels across runtime, mcp, foundation,
api schemas, services, and agent factories. Reworded to describe the bug or
behaviour in plain words; every label dropped. The repo source is now free of
task/finding numbers, Wave/Phase/cluster/audit/smoke labels. By hand, one
comment at a time.
---------
Co-authored-by: Renn F <rennf93@users.noreply.github.com>
1053 lines
33 KiB
Python
1053 lines
33 KiB
Python
"""TaskService coverage — background indexing + completion learning hooks.
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These hooks fire-and-forget after lifecycle transitions (complete, soft_block,
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unblock, pause, resume, fail_qa, pass_qa, cancel). The methods themselves
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are simple wrappers over the optimal/learning services; the production paths
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just need the methods to be invoked once and not raise.
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Strategy: monkeypatch `get_optimal_service` / `get_learning_service` to
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return AsyncMocks so the methods run their full bodies, then explicitly
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await the awaitable returned by the asyncio.create_task wrapper to ensure
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the body executes synchronously within the test's event loop.
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"""
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from __future__ import annotations
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from datetime import UTC, datetime, timedelta
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from typing import TYPE_CHECKING, Any
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from unittest.mock import AsyncMock, MagicMock
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from uuid import uuid4
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import pytest
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import pytest_asyncio
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from roboco.db.tables import AgentTable, ProjectTable, WorkSessionTable
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from roboco.models import AgentRole, AgentStatus, Team
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from roboco.models.base import (
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Complexity,
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TaskNature,
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TaskStatus,
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TaskType,
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)
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from roboco.models.task import TaskCreateRequest
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from roboco.models.work_session import WorkSessionStatus
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from roboco.services.learning import LearningScope
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from roboco.services.task import (
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TaskService,
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_CompletionSnapshot,
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)
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if TYPE_CHECKING:
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from collections.abc import AsyncIterator
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from sqlalchemy.ext.asyncio import AsyncSession
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@pytest_asyncio.fixture
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async def task_setup(
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db_session: AsyncSession,
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) -> AsyncIterator[dict]:
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agent = AgentTable(
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id=uuid4(),
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name="Dev",
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slug=f"be-dev-{uuid4().hex[:8]}",
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role=AgentRole.DEVELOPER,
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team=Team.BACKEND,
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status=AgentStatus.ACTIVE,
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model_config={},
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system_prompt="dev",
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capabilities=[],
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permissions={},
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metrics={},
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)
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db_session.add(agent)
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await db_session.flush()
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project = ProjectTable(
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id=uuid4(),
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name="P",
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slug=f"p-{uuid4().hex[:8]}",
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git_url="https://example.com/r.git",
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assigned_cell=Team.BACKEND,
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created_by=agent.id,
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)
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db_session.add(project)
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await db_session.flush()
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yield {
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"svc": TaskService(db_session),
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"agent_id": agent.id,
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"project_id": project.id,
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"db": db_session,
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}
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def _req(setup: dict, **overrides) -> TaskCreateRequest:
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return TaskCreateRequest(
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title=overrides.pop("title", "t"),
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description=overrides.pop("description", "d"),
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acceptance_criteria=overrides.pop("acceptance_criteria", ["ac"]),
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team=overrides.pop("team", Team.BACKEND),
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created_by=setup["agent_id"],
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project_id=setup["project_id"],
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task_type=overrides.pop("task_type", TaskType.CODE),
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nature=overrides.pop("nature", TaskNature.TECHNICAL),
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estimated_complexity=overrides.pop("estimated_complexity", Complexity.MEDIUM),
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**overrides,
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)
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# ---------------------------------------------------------------------------
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# _duration_learning
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# ---------------------------------------------------------------------------
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def test_duration_learning_returns_none_when_missing_timestamps(
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task_setup: dict,
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) -> None:
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svc = task_setup["svc"]
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out = svc._duration_learning(
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"title", started_at=None, completed_at=None, estimated_complexity="low"
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)
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assert out is None
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def test_duration_learning_emits_for_overrun(task_setup: dict) -> None:
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svc = task_setup["svc"]
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started = datetime.now(UTC)
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completed = started + timedelta(hours=20) # >>> 2h expected for low
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out = svc._duration_learning(
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"title", started_at=started, completed_at=completed, estimated_complexity="low"
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)
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assert out is not None
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msg, _ltype = out
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assert "took" in msg.lower()
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def test_duration_learning_emits_for_underrun(task_setup: dict) -> None:
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svc = task_setup["svc"]
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started = datetime.now(UTC)
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completed = started + timedelta(minutes=20) # << 24h for high
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out = svc._duration_learning(
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"title", started_at=started, completed_at=completed, estimated_complexity="high"
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)
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assert out is not None
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msg, _ = out
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assert "quickly" in msg.lower()
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def test_duration_learning_handles_complexity_with_value(task_setup: dict) -> None:
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"""Complexity enum has .value attribute — code path covered."""
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svc = task_setup["svc"]
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started = datetime.now(UTC)
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completed = started + timedelta(hours=20)
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out = svc._duration_learning(
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"title",
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started_at=started,
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completed_at=completed,
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estimated_complexity=Complexity.LOW,
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)
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assert out is not None
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def test_duration_learning_returns_none_for_normal_duration(
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task_setup: dict,
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) -> None:
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svc = task_setup["svc"]
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started = datetime.now(UTC)
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completed = started + timedelta(hours=8) # exactly expected for medium
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out = svc._duration_learning(
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"title",
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started_at=started,
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completed_at=completed,
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estimated_complexity="medium",
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)
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assert out is None
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# ---------------------------------------------------------------------------
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# _commit_pattern_learning
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# ---------------------------------------------------------------------------
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def test_commit_pattern_learning_pattern_for_5plus(task_setup: dict) -> None:
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svc = task_setup["svc"]
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out = svc._commit_pattern_learning("title", commits=[1, 2, 3, 4, 5])
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assert out is not None
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msg, _ = out
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assert "Good commit granularity" in msg
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def test_commit_pattern_learning_gotcha_for_one(task_setup: dict) -> None:
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svc = task_setup["svc"]
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out = svc._commit_pattern_learning("title", commits=[1])
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assert out is not None
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msg, _ = out
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assert "Single commit" in msg
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def test_commit_pattern_learning_returns_none_for_middle(task_setup: dict) -> None:
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svc = task_setup["svc"]
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out = svc._commit_pattern_learning("title", commits=[1, 2, 3])
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assert out is None
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# ---------------------------------------------------------------------------
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# _collect_completion_learnings
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# ---------------------------------------------------------------------------
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def test_collect_completion_learnings_aggregates_all(task_setup: dict) -> None:
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svc = task_setup["svc"]
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started = datetime.now(UTC)
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completed = started + timedelta(hours=20)
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snapshot = _CompletionSnapshot(
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task_title="big task",
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started_at=started,
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completed_at=completed,
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estimated_complexity="low",
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commits=[1, 2, 3, 4, 5, 6],
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dev_notes="A" * 100,
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qa_notes="B" * 100,
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)
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learnings = svc._collect_completion_learnings(snapshot)
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# 4 entries: duration + commit pattern + dev notes + qa notes
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expected_count = 4
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assert len(learnings) == expected_count
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def test_collect_completion_learnings_empty_for_no_data(task_setup: dict) -> None:
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svc = task_setup["svc"]
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snapshot = _CompletionSnapshot(
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task_title="x",
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started_at=None,
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completed_at=None,
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estimated_complexity="low",
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commits=[],
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dev_notes=None,
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qa_notes=None,
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)
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assert svc._collect_completion_learnings(snapshot) == []
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# ---------------------------------------------------------------------------
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# _determine_learning_scope
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# ---------------------------------------------------------------------------
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def test_determine_learning_scope_for_cell_team(task_setup: dict) -> None:
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svc = task_setup["svc"]
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assert svc._determine_learning_scope("backend") == LearningScope.CELL
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def test_determine_learning_scope_for_org_team(task_setup: dict) -> None:
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svc = task_setup["svc"]
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assert svc._determine_learning_scope("board") == LearningScope.ORG
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def test_determine_learning_scope_default_team(task_setup: dict) -> None:
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svc = task_setup["svc"]
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assert svc._determine_learning_scope("unknown") == LearningScope.TEAM
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# ---------------------------------------------------------------------------
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# _extract_decisions_from_notes
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# ---------------------------------------------------------------------------
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def test_extract_decisions_finds_pattern(task_setup: dict) -> None:
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svc = task_setup["svc"]
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decisions = svc._extract_decisions_from_notes(
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"We decided to use Postgres. The reasoning was clear.",
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"task title",
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)
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assert len(decisions) >= 1
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assert any("decided to" in d["decision"].lower() for d in decisions)
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def test_extract_decisions_returns_empty_no_match(task_setup: dict) -> None:
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svc = task_setup["svc"]
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decisions = svc._extract_decisions_from_notes(
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"Plain text with nothing decision-like.", "title"
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)
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assert decisions == []
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# ---------------------------------------------------------------------------
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# _parse_qa_notes
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# ---------------------------------------------------------------------------
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def test_parse_qa_notes_with_bullets(task_setup: dict) -> None:
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svc = task_setup["svc"]
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issues = svc._parse_qa_notes("- Issue one\n* Issue two\n• Issue three")
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expected_count = 3
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assert len(issues) == expected_count
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|
|
def test_parse_qa_notes_with_numbered_list(task_setup: dict) -> None:
|
|
svc = task_setup["svc"]
|
|
issues = svc._parse_qa_notes("1. First issue\n2. Second issue")
|
|
expected_count = 2
|
|
assert len(issues) == expected_count
|
|
|
|
|
|
def test_parse_qa_notes_falls_back_to_raw(task_setup: dict) -> None:
|
|
svc = task_setup["svc"]
|
|
issues = svc._parse_qa_notes("Free-form note without bullets")
|
|
assert len(issues) == 1
|
|
assert "Free-form" in issues[0]["description"]
|
|
|
|
|
|
def test_parse_qa_notes_empty_for_blank(task_setup: dict) -> None:
|
|
svc = task_setup["svc"]
|
|
issues = svc._parse_qa_notes("")
|
|
assert issues == []
|
|
|
|
|
|
# ---------------------------------------------------------------------------
|
|
# _extract_completion_learnings
|
|
# ---------------------------------------------------------------------------
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_extract_completion_learnings_calls_record(
|
|
task_setup: dict,
|
|
db_session: AsyncSession,
|
|
monkeypatch: pytest.MonkeyPatch,
|
|
) -> None:
|
|
svc = task_setup["svc"]
|
|
task = await svc.create(_req(task_setup))
|
|
task.started_at = datetime.now(UTC) - timedelta(hours=20)
|
|
task.completed_at = datetime.now(UTC)
|
|
task.estimated_complexity = Complexity.LOW
|
|
task.commits = [{"hash": f"h{i}"} for i in range(7)]
|
|
task.dev_notes = "D" * 100
|
|
task.qa_notes = "Q" * 100
|
|
task.assigned_to = task_setup["agent_id"]
|
|
await db_session.flush()
|
|
|
|
record_mock = AsyncMock()
|
|
fake_learning_svc = MagicMock()
|
|
fake_learning_svc.record_learning = record_mock
|
|
|
|
async def _get_learning_service() -> Any:
|
|
return fake_learning_svc
|
|
|
|
monkeypatch.setattr(
|
|
"roboco.services.learning.get_learning_service",
|
|
_get_learning_service,
|
|
)
|
|
await svc._extract_completion_learnings(task, task_setup["agent_id"])
|
|
assert record_mock.await_count > 0
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_extract_completion_learnings_swallows_errors(
|
|
task_setup: dict, monkeypatch: pytest.MonkeyPatch
|
|
) -> None:
|
|
"""Failure in learning_svc should not raise."""
|
|
svc = task_setup["svc"]
|
|
task = await svc.create(_req(task_setup))
|
|
|
|
async def _bad() -> None:
|
|
raise RuntimeError("boom")
|
|
|
|
monkeypatch.setattr("roboco.services.learning.get_learning_service", _bad)
|
|
# Should not raise
|
|
await svc._extract_completion_learnings(task, task_setup["agent_id"])
|
|
|
|
|
|
# ---------------------------------------------------------------------------
|
|
# _index_code_changes_background
|
|
# ---------------------------------------------------------------------------
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_index_code_changes_with_files(
|
|
task_setup: dict, monkeypatch: pytest.MonkeyPatch
|
|
) -> None:
|
|
svc = task_setup["svc"]
|
|
fake_optimal = MagicMock()
|
|
fake_optimal.index_code = AsyncMock(return_value=2)
|
|
|
|
async def _get_optimal() -> Any:
|
|
return fake_optimal
|
|
|
|
monkeypatch.setattr("roboco.services.optimal.get_optimal_service", _get_optimal)
|
|
commits = [{"files": ["a.py", "b.py"]}, {"files": ["a.py"]}]
|
|
await svc._index_code_changes_background(uuid4(), commits, "roboco")
|
|
fake_optimal.index_code.assert_awaited_once()
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_index_code_changes_with_no_files(
|
|
task_setup: dict, monkeypatch: pytest.MonkeyPatch
|
|
) -> None:
|
|
svc = task_setup["svc"]
|
|
fake_optimal = MagicMock()
|
|
fake_optimal.index_code = AsyncMock()
|
|
|
|
async def _get_optimal() -> Any:
|
|
return fake_optimal
|
|
|
|
monkeypatch.setattr("roboco.services.optimal.get_optimal_service", _get_optimal)
|
|
# Empty list of files
|
|
await svc._index_code_changes_background(uuid4(), [], "roboco")
|
|
fake_optimal.index_code.assert_not_awaited()
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_index_code_changes_swallows_errors(
|
|
task_setup: dict, monkeypatch: pytest.MonkeyPatch
|
|
) -> None:
|
|
svc = task_setup["svc"]
|
|
|
|
async def _bad() -> None:
|
|
raise RuntimeError("optimal down")
|
|
|
|
monkeypatch.setattr("roboco.services.optimal.get_optimal_service", _bad)
|
|
# Should not raise
|
|
await svc._index_code_changes_background(uuid4(), [{"files": ["a.py"]}], "p")
|
|
|
|
|
|
# ---------------------------------------------------------------------------
|
|
# _index_decisions_background
|
|
# ---------------------------------------------------------------------------
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_index_decisions_no_notes_returns_early(
|
|
task_setup: dict,
|
|
) -> None:
|
|
svc = task_setup["svc"]
|
|
# No exception even if optimal isn't patched — early return
|
|
await svc._index_decisions_background(uuid4(), "title", Team.BACKEND, None, None)
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_index_decisions_with_notes_calls_index(
|
|
task_setup: dict, monkeypatch: pytest.MonkeyPatch
|
|
) -> None:
|
|
svc = task_setup["svc"]
|
|
fake_optimal = MagicMock()
|
|
fake_optimal.index_decision = AsyncMock()
|
|
|
|
async def _get_optimal() -> Any:
|
|
return fake_optimal
|
|
|
|
monkeypatch.setattr("roboco.services.optimal.get_optimal_service", _get_optimal)
|
|
notes = "We decided to refactor the auth flow. Reasoning: it was buggy."
|
|
await svc._index_decisions_background(
|
|
uuid4(), "title", Team.BACKEND, notes, uuid4()
|
|
)
|
|
fake_optimal.index_decision.assert_awaited()
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_index_decisions_swallows_errors(
|
|
task_setup: dict, monkeypatch: pytest.MonkeyPatch
|
|
) -> None:
|
|
svc = task_setup["svc"]
|
|
|
|
async def _bad() -> None:
|
|
raise RuntimeError("oops")
|
|
|
|
monkeypatch.setattr("roboco.services.optimal.get_optimal_service", _bad)
|
|
# Should not raise
|
|
await svc._index_decisions_background(
|
|
uuid4(),
|
|
"title",
|
|
Team.BACKEND,
|
|
"decided to do thing",
|
|
None,
|
|
)
|
|
|
|
|
|
# ---------------------------------------------------------------------------
|
|
# _index_docs_background
|
|
# ---------------------------------------------------------------------------
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_index_docs_with_paths_calls_index(
|
|
task_setup: dict, monkeypatch: pytest.MonkeyPatch
|
|
) -> None:
|
|
svc = task_setup["svc"]
|
|
fake_optimal = MagicMock()
|
|
fake_optimal.index_documentation = AsyncMock(return_value=2)
|
|
|
|
async def _get_optimal() -> Any:
|
|
return fake_optimal
|
|
|
|
monkeypatch.setattr("roboco.services.optimal.get_optimal_service", _get_optimal)
|
|
docs = [{"path": "doc1.md"}, {"path": "doc2.md"}]
|
|
await svc._index_docs_background(uuid4(), docs)
|
|
fake_optimal.index_documentation.assert_awaited_once()
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_index_docs_swallows_errors(
|
|
task_setup: dict, monkeypatch: pytest.MonkeyPatch
|
|
) -> None:
|
|
svc = task_setup["svc"]
|
|
|
|
async def _bad() -> None:
|
|
raise RuntimeError("oops")
|
|
|
|
monkeypatch.setattr("roboco.services.optimal.get_optimal_service", _bad)
|
|
# Should not raise
|
|
await svc._index_docs_background(uuid4(), [{"path": "x.md"}])
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_capture_workspace_docs_lands_missing_doc(
|
|
task_setup: dict,
|
|
db_session: AsyncSession,
|
|
monkeypatch: pytest.MonkeyPatch,
|
|
tmp_path: Any,
|
|
) -> None:
|
|
"""A doc that lives only in the agent's clone is read out of the branch and
|
|
written under DOCS_BASE_PATH so the indexer can see it."""
|
|
svc = task_setup["svc"]
|
|
monkeypatch.setattr("roboco.services.docs.DOCS_BASE_PATH", tmp_path)
|
|
task = await svc.create(_req(task_setup))
|
|
task.branch_name = "feature/backend/abc"
|
|
task.assigned_to = task_setup["agent_id"]
|
|
await db_session.flush()
|
|
|
|
fake_git = MagicMock()
|
|
fake_git.read_file_at_branch = AsyncMock(return_value="# Guide\ncontent\n")
|
|
monkeypatch.setattr("roboco.services.git.get_git_service", lambda _s: fake_git)
|
|
|
|
await svc._capture_workspace_docs(
|
|
task.id, [{"path": "guide.md"}], task_setup["agent_id"]
|
|
)
|
|
|
|
assert (tmp_path / "guide.md").read_text(encoding="utf-8") == "# Guide\ncontent\n"
|
|
fake_git.read_file_at_branch.assert_awaited_once()
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_capture_workspace_docs_skips_doc_already_on_server(
|
|
task_setup: dict,
|
|
db_session: AsyncSession,
|
|
monkeypatch: pytest.MonkeyPatch,
|
|
tmp_path: Any,
|
|
) -> None:
|
|
"""A doc already under DOCS_BASE_PATH (written via roboco_docs_write) is not
|
|
re-fetched from the branch."""
|
|
svc = task_setup["svc"]
|
|
monkeypatch.setattr("roboco.services.docs.DOCS_BASE_PATH", tmp_path)
|
|
(tmp_path / "api.md").write_text("already here", encoding="utf-8")
|
|
task = await svc.create(_req(task_setup))
|
|
task.branch_name = "feature/backend/abc"
|
|
task.assigned_to = task_setup["agent_id"]
|
|
await db_session.flush()
|
|
|
|
fake_git = MagicMock()
|
|
fake_git.read_file_at_branch = AsyncMock(return_value="should not be used")
|
|
monkeypatch.setattr("roboco.services.git.get_git_service", lambda _s: fake_git)
|
|
|
|
await svc._capture_workspace_docs(
|
|
task.id, [{"path": "api.md"}], task_setup["agent_id"]
|
|
)
|
|
|
|
assert (tmp_path / "api.md").read_text(encoding="utf-8") == "already here"
|
|
fake_git.read_file_at_branch.assert_not_awaited()
|
|
|
|
|
|
# ---------------------------------------------------------------------------
|
|
# _index_qa_review_background / _index_qa_errors_background
|
|
# ---------------------------------------------------------------------------
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_index_qa_review_calls_record_review(
|
|
task_setup: dict, monkeypatch: pytest.MonkeyPatch
|
|
) -> None:
|
|
svc = task_setup["svc"]
|
|
fake_optimal = MagicMock()
|
|
fake_optimal.record_review = AsyncMock()
|
|
|
|
async def _get_optimal() -> Any:
|
|
return fake_optimal
|
|
|
|
monkeypatch.setattr("roboco.services.optimal.get_optimal_service", _get_optimal)
|
|
dev_id = uuid4()
|
|
await svc._index_qa_review_background(
|
|
uuid4(),
|
|
f"original_developer:{dev_id}",
|
|
passed=True,
|
|
qa_notes="LGTM",
|
|
qa_agent_id=uuid4(),
|
|
)
|
|
fake_optimal.record_review.assert_awaited_once()
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_index_qa_review_swallows_errors(
|
|
task_setup: dict, monkeypatch: pytest.MonkeyPatch
|
|
) -> None:
|
|
svc = task_setup["svc"]
|
|
|
|
async def _bad() -> None:
|
|
raise RuntimeError("oops")
|
|
|
|
monkeypatch.setattr("roboco.services.optimal.get_optimal_service", _bad)
|
|
await svc._index_qa_review_background(
|
|
uuid4(), None, passed=False, qa_notes="x", qa_agent_id=None
|
|
)
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_index_qa_errors_calls_index_error(
|
|
task_setup: dict, monkeypatch: pytest.MonkeyPatch
|
|
) -> None:
|
|
svc = task_setup["svc"]
|
|
fake_optimal = MagicMock()
|
|
fake_optimal.index_error = AsyncMock()
|
|
|
|
async def _get_optimal() -> Any:
|
|
return fake_optimal
|
|
|
|
monkeypatch.setattr("roboco.services.optimal.get_optimal_service", _get_optimal)
|
|
await svc._index_qa_errors_background(
|
|
uuid4(),
|
|
"task title",
|
|
Team.BACKEND,
|
|
"- one\n- two",
|
|
)
|
|
assert fake_optimal.index_error.await_count >= 1
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_index_qa_errors_swallows_errors(
|
|
task_setup: dict, monkeypatch: pytest.MonkeyPatch
|
|
) -> None:
|
|
svc = task_setup["svc"]
|
|
|
|
async def _bad() -> None:
|
|
raise RuntimeError("oops")
|
|
|
|
monkeypatch.setattr("roboco.services.optimal.get_optimal_service", _bad)
|
|
await svc._index_qa_errors_background(uuid4(), "t", Team.BACKEND, "notes")
|
|
|
|
|
|
# ---------------------------------------------------------------------------
|
|
# _index_blocker_background
|
|
# ---------------------------------------------------------------------------
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_index_blocker_calls_index_error(
|
|
task_setup: dict, monkeypatch: pytest.MonkeyPatch
|
|
) -> None:
|
|
svc = task_setup["svc"]
|
|
fake_optimal = MagicMock()
|
|
fake_optimal.index_error = AsyncMock()
|
|
|
|
async def _get_optimal() -> Any:
|
|
return fake_optimal
|
|
|
|
monkeypatch.setattr("roboco.services.optimal.get_optimal_service", _get_optimal)
|
|
await svc._index_blocker_background(
|
|
uuid4(),
|
|
Team.BACKEND,
|
|
{
|
|
"type": "external",
|
|
"title": "title",
|
|
"reason": "reason",
|
|
"what_needed": "key",
|
|
},
|
|
)
|
|
fake_optimal.index_error.assert_awaited_once()
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_index_blocker_swallows_errors(
|
|
task_setup: dict, monkeypatch: pytest.MonkeyPatch
|
|
) -> None:
|
|
svc = task_setup["svc"]
|
|
|
|
async def _bad() -> None:
|
|
raise RuntimeError("oops")
|
|
|
|
monkeypatch.setattr("roboco.services.optimal.get_optimal_service", _bad)
|
|
await svc._index_blocker_background(uuid4(), Team.BACKEND, {})
|
|
|
|
|
|
# ---------------------------------------------------------------------------
|
|
# _index_lifecycle_event_background
|
|
# ---------------------------------------------------------------------------
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_index_lifecycle_event_calls_index_journal(
|
|
task_setup: dict, monkeypatch: pytest.MonkeyPatch
|
|
) -> None:
|
|
svc = task_setup["svc"]
|
|
fake_optimal = MagicMock()
|
|
fake_optimal.index_journal_entry = AsyncMock()
|
|
|
|
async def _get_optimal() -> Any:
|
|
return fake_optimal
|
|
|
|
monkeypatch.setattr("roboco.services.optimal.get_optimal_service", _get_optimal)
|
|
await svc._index_lifecycle_event_background(
|
|
uuid4(),
|
|
"block",
|
|
"title",
|
|
Team.BACKEND,
|
|
details={"reason": "x"},
|
|
)
|
|
fake_optimal.index_journal_entry.assert_awaited_once()
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_index_lifecycle_event_no_team(
|
|
task_setup: dict, monkeypatch: pytest.MonkeyPatch
|
|
) -> None:
|
|
svc = task_setup["svc"]
|
|
fake_optimal = MagicMock()
|
|
fake_optimal.index_journal_entry = AsyncMock()
|
|
|
|
async def _get_optimal() -> Any:
|
|
return fake_optimal
|
|
|
|
monkeypatch.setattr("roboco.services.optimal.get_optimal_service", _get_optimal)
|
|
await svc._index_lifecycle_event_background(
|
|
uuid4(), "cancel", "title", task_team=None
|
|
)
|
|
fake_optimal.index_journal_entry.assert_awaited_once()
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_index_lifecycle_event_swallows_errors(
|
|
task_setup: dict, monkeypatch: pytest.MonkeyPatch
|
|
) -> None:
|
|
svc = task_setup["svc"]
|
|
|
|
async def _bad() -> None:
|
|
raise RuntimeError("oops")
|
|
|
|
monkeypatch.setattr("roboco.services.optimal.get_optimal_service", _bad)
|
|
await svc._index_lifecycle_event_background(
|
|
uuid4(), "cancel", "title", task_team=None
|
|
)
|
|
|
|
|
|
# ---------------------------------------------------------------------------
|
|
# _close_work_session_for_task / _delete_task_branch_best_effort
|
|
# ---------------------------------------------------------------------------
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_close_work_session_for_task_no_session(
|
|
task_setup: dict,
|
|
) -> None:
|
|
svc = task_setup["svc"]
|
|
task = await svc.create(_req(task_setup))
|
|
# Should be a no-op when no work_session_id
|
|
await svc._close_work_session_for_task(task, reason="x")
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_close_work_session_for_task_calls_close(
|
|
task_setup: dict, db_session: AsyncSession, monkeypatch: pytest.MonkeyPatch
|
|
) -> None:
|
|
svc = task_setup["svc"]
|
|
task = await svc.create(_req(task_setup))
|
|
ws = WorkSessionTable(
|
|
id=uuid4(),
|
|
project_id=task_setup["project_id"],
|
|
task_id=task.id,
|
|
agent_id=task_setup["agent_id"],
|
|
branch_name="feature/backend/x",
|
|
base_branch="main",
|
|
target_branch="main",
|
|
status=WorkSessionStatus.ACTIVE,
|
|
)
|
|
db_session.add(ws)
|
|
await db_session.flush()
|
|
task.work_session_id = ws.id
|
|
await db_session.flush()
|
|
|
|
fake_ws_svc = MagicMock()
|
|
fake_ws_svc.close = AsyncMock()
|
|
monkeypatch.setattr(
|
|
"roboco.services.work_session.get_work_session_service",
|
|
lambda _s: fake_ws_svc,
|
|
)
|
|
await svc._close_work_session_for_task(task, reason="completed")
|
|
fake_ws_svc.close.assert_awaited_once()
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_delete_task_branch_no_branch_no_op(task_setup: dict) -> None:
|
|
svc = task_setup["svc"]
|
|
task = await svc.create(_req(task_setup)) # no branch_name
|
|
await svc._delete_task_branch_best_effort(task)
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_delete_task_branch_no_project_returns(
|
|
task_setup: dict, db_session: AsyncSession
|
|
) -> None:
|
|
"""If project lookup yields None, returns silently.
|
|
|
|
Patches the SELECT directly so the project_id FK on the task remains
|
|
valid (we can't delete the project while the task still references it).
|
|
"""
|
|
svc = task_setup["svc"]
|
|
task = await svc.create(_req(task_setup))
|
|
task.branch_name = "feature/backend/AAAA"
|
|
await db_session.flush()
|
|
|
|
# Stub session.execute to return a result that scalars to None on the
|
|
# ProjectTable lookup branch.
|
|
fake_result = MagicMock()
|
|
fake_result.scalar_one_or_none.return_value = None
|
|
|
|
real_execute = db_session.execute
|
|
|
|
async def _execute_stub(stmt, *args, **kwargs):
|
|
# Return None-result for ProjectTable.slug lookup (the SELECT in
|
|
# _delete_task_branch_best_effort), forward everything else.
|
|
compiled = str(stmt)
|
|
if "projects.slug" in compiled.lower():
|
|
return fake_result
|
|
return await real_execute(stmt, *args, **kwargs)
|
|
|
|
# Bind the stub
|
|
object.__setattr__(
|
|
svc, "session", MagicMock(execute=AsyncMock(side_effect=_execute_stub))
|
|
)
|
|
try:
|
|
await svc._delete_task_branch_best_effort(task)
|
|
finally:
|
|
# Restore real session
|
|
object.__setattr__(svc, "session", db_session)
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_delete_task_branch_swallows_git_errors(
|
|
task_setup: dict, db_session: AsyncSession, monkeypatch: pytest.MonkeyPatch
|
|
) -> None:
|
|
svc = task_setup["svc"]
|
|
task = await svc.create(_req(task_setup))
|
|
task.branch_name = "feature/backend/x"
|
|
await db_session.flush()
|
|
|
|
fake_git = MagicMock()
|
|
fake_git.delete_task_branch = AsyncMock(side_effect=RuntimeError("git fail"))
|
|
monkeypatch.setattr("roboco.services.git.get_git_service", lambda _s: fake_git)
|
|
# Should not raise
|
|
await svc._delete_task_branch_best_effort(task)
|
|
|
|
|
|
# ---------------------------------------------------------------------------
|
|
# _abandon_work_session_for_task / _abandon_work_session_best_effort
|
|
# ---------------------------------------------------------------------------
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_abandon_work_session_for_task_no_session_is_noop(
|
|
task_setup: dict,
|
|
) -> None:
|
|
svc = task_setup["svc"]
|
|
task = await svc.create(_req(task_setup))
|
|
# No work_session_id
|
|
await svc._abandon_work_session_for_task(task, reason="x")
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_abandon_work_session_for_task_invokes_abandon(
|
|
task_setup: dict, db_session: AsyncSession, monkeypatch: pytest.MonkeyPatch
|
|
) -> None:
|
|
svc = task_setup["svc"]
|
|
task = await svc.create(_req(task_setup))
|
|
ws = WorkSessionTable(
|
|
id=uuid4(),
|
|
project_id=task_setup["project_id"],
|
|
task_id=task.id,
|
|
agent_id=task_setup["agent_id"],
|
|
branch_name="feature/backend/x",
|
|
base_branch="main",
|
|
target_branch="main",
|
|
status=WorkSessionStatus.ACTIVE,
|
|
)
|
|
db_session.add(ws)
|
|
await db_session.flush()
|
|
task.work_session_id = ws.id
|
|
await db_session.flush()
|
|
|
|
fake_ws = MagicMock()
|
|
fake_ws.abandon = AsyncMock()
|
|
monkeypatch.setattr(
|
|
"roboco.services.work_session.get_work_session_service",
|
|
lambda _s: fake_ws,
|
|
)
|
|
await svc._abandon_work_session_for_task(task, reason="cancelled")
|
|
fake_ws.abandon.assert_awaited_once()
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_abandon_work_session_best_effort_swallows_errors(
|
|
task_setup: dict, monkeypatch: pytest.MonkeyPatch
|
|
) -> None:
|
|
svc = task_setup["svc"]
|
|
fake_ws = MagicMock()
|
|
fake_ws.abandon = AsyncMock(side_effect=RuntimeError("ws fail"))
|
|
monkeypatch.setattr(
|
|
"roboco.services.work_session.WorkSessionService",
|
|
lambda _s: fake_ws,
|
|
)
|
|
# Should not raise
|
|
await svc._abandon_work_session_best_effort(uuid4(), reason="x")
|
|
|
|
|
|
# ---------------------------------------------------------------------------
|
|
# _trigger_completion_hooks
|
|
# ---------------------------------------------------------------------------
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_trigger_completion_hooks_with_commits_and_notes(
|
|
task_setup: dict,
|
|
db_session: AsyncSession,
|
|
monkeypatch: pytest.MonkeyPatch,
|
|
) -> None:
|
|
svc = task_setup["svc"]
|
|
task = await svc.create(_req(task_setup))
|
|
task.commits = [{"hash": "h", "files": ["a.py"]}]
|
|
task.dev_notes = "decided to use postgres" * 5
|
|
task.assigned_to = task_setup["agent_id"]
|
|
await db_session.flush()
|
|
|
|
fake_optimal = MagicMock()
|
|
fake_optimal.index_code = AsyncMock(return_value=1)
|
|
fake_optimal.index_decision = AsyncMock()
|
|
|
|
async def _get_optimal() -> Any:
|
|
return fake_optimal
|
|
|
|
fake_learning = MagicMock()
|
|
fake_learning.record_learning = AsyncMock()
|
|
|
|
async def _get_learning() -> Any:
|
|
return fake_learning
|
|
|
|
monkeypatch.setattr("roboco.services.optimal.get_optimal_service", _get_optimal)
|
|
monkeypatch.setattr("roboco.services.learning.get_learning_service", _get_learning)
|
|
# Just runs all 3 hook spawners
|
|
await svc._trigger_completion_hooks(task, task_setup["agent_id"])
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_trigger_completion_hooks_no_commits_no_notes(
|
|
task_setup: dict,
|
|
db_session: AsyncSession,
|
|
) -> None:
|
|
svc = task_setup["svc"]
|
|
task = await svc.create(_req(task_setup))
|
|
task.commits = []
|
|
task.dev_notes = None
|
|
await db_session.flush()
|
|
# Should still spawn the learnings hook only
|
|
await svc._trigger_completion_hooks(task, task_setup["agent_id"])
|
|
|
|
|
|
# ---------------------------------------------------------------------------
|
|
# _assert_pr_merged_for_complete
|
|
# ---------------------------------------------------------------------------
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_assert_pr_merged_no_session_returns_true(
|
|
task_setup: dict,
|
|
) -> None:
|
|
svc = task_setup["svc"]
|
|
task = await svc.create(_req(task_setup))
|
|
assert await svc._assert_pr_merged_for_complete(task) is True
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_assert_pr_merged_with_merged_session(
|
|
task_setup: dict, db_session: AsyncSession
|
|
) -> None:
|
|
svc = task_setup["svc"]
|
|
task = await svc.create(_req(task_setup))
|
|
ws = WorkSessionTable(
|
|
id=uuid4(),
|
|
project_id=task_setup["project_id"],
|
|
task_id=task.id,
|
|
agent_id=task_setup["agent_id"],
|
|
branch_name="feature/backend/x",
|
|
base_branch="main",
|
|
target_branch="main",
|
|
status=WorkSessionStatus.ACTIVE,
|
|
pr_status="merged",
|
|
)
|
|
db_session.add(ws)
|
|
await db_session.flush()
|
|
task.work_session_id = ws.id
|
|
await db_session.flush()
|
|
assert await svc._assert_pr_merged_for_complete(task) is True
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_assert_pr_merged_with_open_session_returns_false(
|
|
task_setup: dict, db_session: AsyncSession
|
|
) -> None:
|
|
svc = task_setup["svc"]
|
|
task = await svc.create(_req(task_setup))
|
|
ws = WorkSessionTable(
|
|
id=uuid4(),
|
|
project_id=task_setup["project_id"],
|
|
task_id=task.id,
|
|
agent_id=task_setup["agent_id"],
|
|
branch_name="feature/backend/x",
|
|
base_branch="main",
|
|
target_branch="main",
|
|
status=WorkSessionStatus.ACTIVE,
|
|
pr_status="open",
|
|
)
|
|
db_session.add(ws)
|
|
await db_session.flush()
|
|
task.work_session_id = ws.id
|
|
await db_session.flush()
|
|
assert await svc._assert_pr_merged_for_complete(task) is False
|
|
|
|
|
|
# ---------------------------------------------------------------------------
|
|
# ceo_approve with PR merged check
|
|
# ---------------------------------------------------------------------------
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_ceo_approve_returns_none_when_pr_not_merged(
|
|
task_setup: dict, db_session: AsyncSession
|
|
) -> None:
|
|
svc = task_setup["svc"]
|
|
task = await svc.create(_req(task_setup))
|
|
task.status = TaskStatus.AWAITING_CEO_APPROVAL
|
|
ws = WorkSessionTable(
|
|
id=uuid4(),
|
|
project_id=task_setup["project_id"],
|
|
task_id=task.id,
|
|
agent_id=task_setup["agent_id"],
|
|
branch_name="feature/backend/y",
|
|
base_branch="main",
|
|
target_branch="main",
|
|
status=WorkSessionStatus.ACTIVE,
|
|
pr_status="open", # NOT merged
|
|
pr_number=42,
|
|
)
|
|
db_session.add(ws)
|
|
await db_session.flush()
|
|
task.work_session_id = ws.id
|
|
task.docs_complete = True
|
|
task.pr_created = True
|
|
task.pr_number = 42
|
|
await db_session.flush()
|
|
out = await svc.ceo_approve(task.id)
|
|
assert out is None
|