Files
cowork-local/tests/integration/test_agent_event_bridge.py
f9f6bc01fd
CI / test (push) Canceled after 0s
Feature/delta team/epic r04 (#7)
## Summary

epic r04 - begin refactor

## Change Type

- [x] Cowork feature
- [ ] Bug fix
- [ ] Core AI contribution
- [ ] Test / hardening
- [ ] Performance
- [ ] Documentation

## Related Work

Cowork Task:

Core Repo: http://34.143.229.138/gitea-admin/fsg-ai-core-assets

Core AI Issue:

Core Task:

Related PR:

## Scope

What is intentionally included?

What is intentionally NOT included?

## Validation

- [ ] Unit tests
- [ ] Integration tests
- [ ] Manual verification
- [ ] Regression check

Commands / evidence:

## Security Impact

Permission / credential / network / customer data impact:

## Compatibility

- [ ] No breaking change
- [ ] Breaking change documented

## Reviewer Notes

Anything Cowork reviewers should pay attention to.

---------

Co-authored-by: Anh Tran Nguyen Minh <anhtnm1@fpt.com>
Co-authored-by: Huong Le Thi Thien <huongltt35@fpt.com>
Co-authored-by: Nam Pham Dinh Thanh <nampdt@fpt.com>
Co-authored-by: Vu Dam Tuan <vudt15@fpt.com>
Co-authored-by: Hiep Ha Van <hiephv3@fpt.com>
Co-authored-by: Lam Hoang Van <lamhv7@fpt.com>
Reviewed-on: #7
Co-authored-by: Duy Le Huu <duylh19@fpt.com>
2026-08-31 05:15:13 +00:00

114 lines
4.7 KiB
Python

"""R04-T02 — the typed event vocabulary vs. what the real runtime emits.
The unit tests pin each event against the shape I *read* out of
``core/chat_agent.py``. This one removes the reading: it runs the actual
``run_cowork`` loop offline (FakeProvider, real tool execution, real cleanup)
and asserts every dict it emits is recognised by :func:`from_legacy_dict` and
survives a round trip byte-for-byte.
That makes it a guard against the two failure modes a hand-written vocabulary
has: an event type nobody modelled, and a key that silently changes meaning.
Either one would surface here as a failure instead of as a blank chat bubble
after R04-T03 starts routing events through the typed layer.
"""
from __future__ import annotations
from pathlib import Path
from typing import Any, Dict, List
import pytest
from cowork_local.core import chat_agent
from cowork_local.domain.agents.agent_event_codec import from_legacy_dict
from cowork_local.tests.fakes.fake_provider import FakeProvider
def _run_turn_and_collect(tmp_path: Path, provider: FakeProvider) -> List[Dict[str, Any]]:
"""Run one real ``run_cowork`` turn offline and return every emitted dict."""
output_dir = tmp_path / "output"
output_dir.mkdir(parents=True, exist_ok=True)
emitted: List[Dict[str, Any]] = []
chat_agent.run_cowork(
provider=provider,
messages=[{"role": "user", "content": "make me a report"}],
output_dir=output_dir,
emit=emitted.append,
# security_config=None disables the AI guardrail layers, which is the
# documented behaviour for headless callers and keeps this test offline.
security_config=None,
title="Report",
)
return emitted
def _reporting_turn(tmp_path: Path) -> List[Dict[str, Any]]:
"""A turn that streams text, calls save_file, then answers — the common path."""
provider = FakeProvider()
provider.queue_response(
content="Writing it now.",
chunks=["Writing ", "it now."],
tool_calls=[{"id": "call_1", "name": "save_file",
"arguments": {"filename": "report.md", "content": "# Report\n"}}],
)
provider.queue_response(content="Saved to report.md.", chunks=["Saved to report.md."])
return _run_turn_and_collect(tmp_path, provider)
def test_the_runtime_emits_only_event_types_the_domain_layer_models(tmp_path: Path) -> None:
emitted = _reporting_turn(tmp_path)
unmodelled = sorted({e["type"] for e in emitted if from_legacy_dict(e) is None})
assert unmodelled == [], f"run_cowork emits event types R04-T02 does not model: {unmodelled}"
def test_every_emitted_event_round_trips_without_losing_a_key(tmp_path: Path) -> None:
emitted = _reporting_turn(tmp_path)
assert emitted, "the turn produced no events at all — the fixture is wrong"
for raw in emitted:
event = from_legacy_dict(raw)
assert event is not None, raw
assert event.to_legacy_dict() == raw, f"round trip changed the {raw['type']} event"
def test_a_tool_using_turn_really_exercises_the_tool_events(tmp_path: Path) -> None:
# Guards the test above from passing trivially: if the fixture ever stopped
# calling a tool, the round-trip check would only cover text events.
types = {e["type"] for e in _reporting_turn(tmp_path)}
assert {"text", "assistant_done", "tool_proposed", "tool_result"} <= types
def test_reasoning_events_from_a_thinking_model_round_trip(tmp_path: Path) -> None:
# A separate fixture because only reasoning models emit these, and the
# common-path turn above would otherwise never cover the event.
provider = FakeProvider()
provider.queue_response(content="42", chunks=["42"], reasoning="Let me think...")
emitted = _run_turn_and_collect(tmp_path, provider)
reasoning_events = [e for e in emitted if e["type"] == "reasoning"]
assert reasoning_events, "a reasoning model produced no reasoning event"
for raw in reasoning_events:
assert from_legacy_dict(raw).to_legacy_dict() == raw
def test_plan_events_from_the_real_update_plan_tool_round_trip(tmp_path: Path) -> None:
provider = FakeProvider()
provider.queue_response(
content="Planning.",
tool_calls=[{"id": "call_1", "name": "update_plan",
"arguments": {"steps": [{"title": "Draft", "status": "running"},
{"title": "Review", "status": "pending"}]}}],
)
provider.queue_response(content="Done.")
emitted = _run_turn_and_collect(tmp_path, provider)
plan_events = [e for e in emitted if e["type"] == "plan_set"]
assert plan_events, "update_plan did not produce a plan_set event"
for raw in plan_events:
assert from_legacy_dict(raw).to_legacy_dict() == raw