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Development Plan M1.1, as discussed. - Schema v4: a work_items table (id, scope, title, status, outcome, position, data) and an agent row whose active_item points at one (NULL: idle). Canonical events and intents carry their work item, and events their actor. Older stores are refused with a clear message: there was no production data, so no migration (the mechanism stays). - The log is reached through a Transcript bound to one work item and one actor: store.transcript(item, actor) reads only that item and writes with both. The planner, executor, delegation and expert desk get one per call from the orchestrator instead of holding the store, so a component can neither read another task's events (the planner read every earlier task's, #78) nor write without attribution. store.all_events() is kept for readers that span items (evaluation capture, dumps). Intents are begun through the transcript or with work_item=, so each belongs to its item. - The orchestrator opens a work item on 'use', closes it with its outcome (completed or abandoned), and carries what the operator said while idle into the new item as copies with their origin, so a task sent before 'use' is still planned from (D1). control.py keeps its state machine through get_state()/transition(), now over the active work item, until M2.6 retires it. - nisse_dev.dump shows work items and each event's item and actor. Tests: test_work_items.py (scoping, attribution, intent ownership, restart, outcomes, carried messages, a second task never seeing the first); the suites updated for the per-call transcript. Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01PPQ14L3LikyefCMFBqEbKE
203 lines
6.8 KiB
Python
203 lines
6.8 KiB
Python
"""The loop past EXECUTING (D4, D5): publish, review gate, then next milestone or
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project completion."""
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import io
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from pathlib import Path
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from typing import Any
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import pytest
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from nisse_dev.canonical import AssistantText, CanonicalEvent, StoredEvent, ToolCall
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from nisse_dev.control import (
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AWAIT_INPUT,
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AWAIT_MILESTONE_SIGNOFF,
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IDLE,
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PR_OPEN,
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Orchestrator,
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)
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from nisse_dev.executor import ExecutorOutcome
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from nisse_dev.gitea import GiteaError, PullRequest
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from nisse_dev.llm import RoleMap
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from nisse_dev.oplog import OpLog
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from nisse_dev.planner import LLMPlanningAgent
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from nisse_dev.publish import PublishResult
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from nisse_dev.state import StateStore
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from nisse_dev.transport import InMemoryTransport
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ROLES = RoleMap(
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executor="llama3.2",
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planner="haiku",
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helper="haiku",
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expert="haiku",
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)
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class ScriptedClient:
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def __init__(self, plans: list[str]) -> None:
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self._plans = plans
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self.calls: list[dict[str, Any]] = []
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def complete(
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self,
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events: list[StoredEvent],
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tools: list[dict[str, Any]] | None,
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model: str,
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system: str | None = None,
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) -> list[CanonicalEvent]:
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self.calls.append({"system": system})
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if not self._plans:
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return [AssistantText(text="no more plans", model=model)]
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return [
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ToolCall(
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call_id=f"c{len(self.calls)}",
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tool="submit_plan",
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arguments={"type": "x", "content": self._plans.pop(0)},
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)
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]
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class DoneExecutor:
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def run(self, transcript: object, milestone: int) -> ExecutorOutcome:
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return ExecutorOutcome("completed", f"milestone {milestone} done")
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class FakePublisher:
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def __init__(
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self, *, result: PublishResult | None = None, error: Exception | None = None
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) -> None:
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self._result = result or PublishResult(
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PullRequest(number=7, state="open", head="h", url="https://g/pulls/7"),
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"opened PR #7: https://g/pulls/7",
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)
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self._error = error
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self.calls: list[dict[str, Any]] = []
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def reconcilers(self) -> dict[str, Any]:
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return {"open_pr": lambda intent: True}
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def publish(self, **kwargs: Any) -> PublishResult:
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self.calls.append(kwargs)
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if self._error is not None:
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raise self._error
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return self._result
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def build(
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tmp_path: Path, publisher: Any, plans: list[str] | None = None
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) -> tuple[StateStore, InMemoryTransport]:
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store = StateStore(tmp_path / "state.db", oplog=OpLog("nisse-dev", io.StringIO()))
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transport = InMemoryTransport()
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client = ScriptedClient(plans or ["arch plan", "m1 plan", "m2 plan"])
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orch = Orchestrator(
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store,
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transport,
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LLMPlanningAgent(client, ROLES),
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operators={"don"},
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roles=ROLES,
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executor=DoneExecutor(),
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publisher=publisher,
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)
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orch.start()
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return store, transport
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def run_to_pr(tmp_path: Path, publisher: Any) -> tuple[StateStore, InMemoryTransport]:
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store, transport = build(tmp_path, publisher)
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transport.receive("don", "use demo")
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transport.receive("don", "approve") # arch
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transport.receive("don", "approve") # milestone plan
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transport.receive("don", "start milestone 1")
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return store, transport
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def test_completed_milestone_publishes_and_enters_pr_open(tmp_path: Path) -> None:
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publisher = FakePublisher()
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store, transport = run_to_pr(tmp_path, publisher)
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assert store.get_state().state == PR_OPEN
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assert publisher.calls[0]["milestone"] == 1
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assert publisher.calls[0]["project"] == "demo"
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assert "m1 plan" in publisher.calls[0]["plan"] # the approved plan travels
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assert "PR #7" in transport.outbound[-1].text
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def test_pr_open_records_the_pull_request(tmp_path: Path) -> None:
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store, _ = run_to_pr(tmp_path, FakePublisher())
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assert store.get_state().data["pr"]["number"] == 7
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def test_next_milestone_replans_and_bumps_the_counter(tmp_path: Path) -> None:
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store, transport = run_to_pr(tmp_path, FakePublisher())
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transport.receive("don", "next milestone")
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state = store.get_state()
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assert state.state != PR_OPEN
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assert state.data["milestone"] == 2
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assert "m2 plan" in transport.outbound[-1].text
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def test_project_complete_returns_to_idle(tmp_path: Path) -> None:
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store, transport = run_to_pr(tmp_path, FakePublisher())
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transport.receive("don", "project complete")
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state = store.get_state()
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assert state.state == IDLE
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assert state.project is None
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assert "project closed" in transport.outbound[-1].text
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def test_unknown_command_in_pr_open_explains_the_options(tmp_path: Path) -> None:
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store, transport = run_to_pr(tmp_path, FakePublisher())
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transport.receive("don", "looks good!")
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assert store.get_state().state == PR_OPEN
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assert "next milestone" in transport.outbound[-1].text
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def test_no_changes_gates_to_the_operator_without_entering_pr_open(
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tmp_path: Path,
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) -> None:
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publisher = FakePublisher(result=PublishResult(None, "no changes to publish"))
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store, transport = run_to_pr(tmp_path, publisher)
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# Not left in EXECUTING, where every message is answered "busy".
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assert store.get_state().state == AWAIT_INPUT
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assert "no changes to publish" in transport.outbound[-1].text
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transport.receive("don", "ok")
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assert store.get_state().state == AWAIT_MILESTONE_SIGNOFF
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assert "start milestone 1" in transport.outbound[-1].text
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def test_publish_failure_gates_to_the_operator(tmp_path: Path) -> None:
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publisher = FakePublisher(error=GiteaError("gitea is down"))
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store, transport = run_to_pr(tmp_path, publisher)
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assert store.get_state().state == AWAIT_INPUT
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assert "could not publish" in transport.outbound[-1].text
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# And the operator can still get back out (the deadlock regression).
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transport.receive("don", "gitea is back")
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assert store.get_state().state != AWAIT_INPUT
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def test_publisher_reconciler_is_registered_at_boot(tmp_path: Path) -> None:
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store = StateStore(tmp_path / "state.db", oplog=OpLog("nisse-dev", io.StringIO()))
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store.begin_intent("open_pr", {"branch": "b"}, cause="crash")
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transport = InMemoryTransport()
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orch = Orchestrator(
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store,
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transport,
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LLMPlanningAgent(ScriptedClient([]), ROLES),
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operators={"don"},
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roles=ROLES,
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publisher=FakePublisher(),
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)
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orch.start()
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# The publisher's reconciler answered "already opened", so boot resumed
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# instead of gating on an unknown intent kind.
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assert store.pending_intents() == []
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assert store.get_state().state != AWAIT_INPUT
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@pytest.mark.parametrize("command", ["next milestone", "project complete"])
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def test_pr_open_commands_are_operator_only(tmp_path: Path, command: str) -> None:
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store, transport = run_to_pr(tmp_path, FakePublisher())
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transport.receive("mallory", command)
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assert store.get_state().state == PR_OPEN
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