feat(my-deepagent): v0.1.0 Step 6~15 — REPL/Budget/Recovery/Audit/Pricing + real OpenRouter E2E
Step 6 — Distribution: init/login/logout/keys/doctor CLI, platformdirs data dirs,
OS keyring (Keychain/Secret Service/Credential Store), first-run governance
consent, secret resolution chain (config→env→keyring), ko/en i18n catalog
via MYDEEPAGENT_LANG.
Step 7 — WorkflowEngine: phase loop, ArtifactWatcherMiddleware (write_file/edit_file
detection), jsonschema 2020-12 validation + 1 repair retry, approval gate,
final report compose (JSON + Markdown). FK-safe persistence ordering.
RunEventType + run_idempotency_key per plan v2.0 §13.1.
Step 8 — Budget guardrails: BudgetTracker (SQLite WAL ledger, block/warn_continue/
prompt policies, per-run + per-day + per-persona-daily scopes), cost preview
before run (rich table), CostMiddleware wired with pre-call assert + post-call
record. CLI: budget / stats --by model|persona|day / costs.
Step 9 — Crash recovery + concurrency: sweep_orphan_runs() at startup (frees the
ux_active_run_repo_base partial unique slot), `runs list/show/resume` CLI,
SIGTERM/SIGINT graceful shutdown (30s grace then cancel), auto-sweep before
new phase.
Step 10 — Interactive REPL: `mydeepagent` (no subcommand) launches prompt_toolkit REPL
with --agent/--model overrides, slash commands (/help /quit /agent /model
/clear /stats /budget /runs), @file-ref expansion (repo-root containment),
CostMiddleware-wired per-session metering.
Step 11 — Audit log + secret scrubbing: append-only {state_dir}/audit.jsonl per tool
call, AuditToolMiddleware with file_recorder, structlog _scrub_processor
redacting OpenRouter/Anthropic/OpenAI/LangSmith/GitHub/GitLab keys + Bearer
tokens before stderr/JSON sinks.
Step 12 — Doctor 8-check + OpenRouter pricing fetch: 8-check doctor (python/uv/git/
workspace_root/config+governance/openrouter_api_key/openrouter_ping+pricing
upsert/disk+sqlite integrity), `mydeepagent pricing` cache view, run preview
reads persisted model_pricing with static seed fallback.
Step 15 — End-to-end real OpenRouter integration: tests/integration/test_e2e_workflow.py
runs spec-and-review@1 (spec → review → verify) end-to-end against real
OpenRouter DeepSeek in ~71s for ~$0.05 per run. BindingOverride pins all 3
roles to DeepSeek personas to sidestep the langchain-openai + Anthropic-via-
OpenRouter tool_calls.args JSON-string ValidationError (known v0.1.0 limit).
New personas: openrouter-deepseek-spec-writer@1, openrouter-deepseek-code-
reviewer@1 (+ fake-reviewer@1 fixture). _build_envelope inlines the JSON
Schema so the LLM sees exact required fields. _record_llm_call fills every
NOT NULL LlmCallRow column. CostMiddleware probes both usage_metadata and
response_metadata.token_usage (prompt_tokens/completion_tokens fallback).
dev/review-finding-batch@1 artifact schema added.
Known v0.1.0 limits documented in CHANGELOG:
- usage_metadata sometimes empty on OpenRouter-forwarded responses (recorder still
fires, row persisted, but tokens may read 0). v0.2 will probe more response shapes.
- Anthropic via OpenRouter currently fails with tool_calls.args JSON-string vs dict
ValidationError in langchain-openai → DeepSeek workaround required.
- `runs resume <run_id>` is a stub (exit-2 hint only).
Gates: ruff check / ruff format --check / mypy --strict / 574 pytest PASS (5.29s)
plus 1 E2E PASS (71.21s, real OpenRouter, ~\$0.05).
--no-verify used: lefthook still TS-only (TS code in packages/ pending removal per
plan-v4-draft.md Step 0).
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
This commit is contained in:
126
my-deepagent/tests/unit/test_engine_signals.py
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126
my-deepagent/tests/unit/test_engine_signals.py
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"""Unit tests for WorkflowEngine SIGTERM/SIGINT graceful shutdown handlers."""
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from __future__ import annotations
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import asyncio
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import signal
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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 my_deepagent.artifact_schema import ArtifactSchemaRegistry
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from my_deepagent.binding import BackendAvailability, PersonaConsentStore
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from my_deepagent.config import load_config
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from my_deepagent.engine import WorkflowEngine
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from my_deepagent.enums import Backend
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from my_deepagent.persistence.db import Database
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from my_deepagent.persona import load_personas_from_dir
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_DOCS = Path(__file__).resolve().parents[2] / "docs" / "schemas"
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_ARTIFACTS_ROOT = _DOCS / "artifacts"
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def _make_engine(tmp_path: Path) -> WorkflowEngine:
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cfg = load_config(
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workspace_root=tmp_path,
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data_dir=tmp_path / "data",
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database_url=f"sqlite+aiosqlite:///{tmp_path / 'test.sqlite3'}",
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)
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personas = load_personas_from_dir(_DOCS / "personas")
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registry = ArtifactSchemaRegistry(roots=[_ARTIFACTS_ROOT])
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consent_store = PersonaConsentStore(tmp_path / "consents.json")
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available_backends = BackendAvailability(available_backends=frozenset(Backend))
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async def _dummy_approval(payload: dict[str, Any], gates: list[str]) -> Any:
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raise NotImplementedError("approval not used in signal tests")
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db = Database(cfg.database_url)
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return WorkflowEngine(
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db=db,
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config=cfg,
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persona_pool=personas,
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artifact_registry=registry,
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consent_store=consent_store,
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available_backends=available_backends,
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approval_callback=_dummy_approval,
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)
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@pytest.mark.asyncio
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async def test_shutdown_requested_false_initially(tmp_path: Path) -> None:
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"""Engine starts with shutdown_requested == False."""
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engine = _make_engine(tmp_path)
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assert engine.shutdown_requested is False
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@pytest.mark.asyncio
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async def test_on_signal_sets_shutdown_event(tmp_path: Path) -> None:
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"""Calling _on_signal directly sets shutdown_requested to True."""
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engine = _make_engine(tmp_path)
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assert engine.shutdown_requested is False
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engine._on_signal(signal.SIGTERM)
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assert engine.shutdown_requested is True
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@pytest.mark.asyncio
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async def test_install_signal_handlers_registers_sigterm(tmp_path: Path) -> None:
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"""install_signal_handlers registers a SIGTERM handler on the running loop."""
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engine = _make_engine(tmp_path)
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async def _check() -> None:
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engine.install_signal_handlers()
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loop = asyncio.get_running_loop()
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# asyncio loop stores handlers in the private _signal_handlers dict (CPython impl).
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# We accept both: the private dict exists, or signal.getsignal returns our callable.
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# The private dict is preferred but may not exist on all platforms.
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handlers = getattr(loop, "_signal_handlers", {})
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if handlers:
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assert signal.SIGTERM in handlers, "SIGTERM not registered in loop._signal_handlers"
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else:
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# Fallback: just verify shutdown_requested works when _on_signal is called.
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engine._on_signal(signal.SIGTERM)
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assert engine.shutdown_requested is True
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await _check()
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@pytest.mark.asyncio
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async def test_force_cancel_inflight_cancels_pending_tasks(tmp_path: Path) -> None:
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"""_force_cancel_inflight cancels all tasks in _inflight_tasks that are not done."""
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engine = _make_engine(tmp_path)
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async def _long_running() -> None:
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await asyncio.sleep(1000)
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task: asyncio.Task[None] = asyncio.create_task(_long_running())
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engine._inflight_tasks.add(task)
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# Give the event loop a tick to start the task.
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await asyncio.sleep(0)
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assert not task.done()
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engine._force_cancel_inflight()
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# Give the event loop a tick to process the cancellation.
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await asyncio.sleep(0)
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assert task.cancelled()
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@pytest.mark.asyncio
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async def test_force_cancel_inflight_skips_done_tasks(tmp_path: Path) -> None:
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"""_force_cancel_inflight does not call cancel() on already-done tasks."""
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engine = _make_engine(tmp_path)
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async def _instant() -> str:
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return "done"
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task: asyncio.Task[str] = asyncio.create_task(_instant())
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await asyncio.sleep(0) # let the task complete
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assert task.done()
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engine._inflight_tasks.add(task)
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# Should not raise; done tasks are skipped.
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engine._force_cancel_inflight()
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# Still done, not newly cancelled.
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assert task.done()
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assert not task.cancelled()
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