feat(agent): integrate structured runner interactions

This commit is contained in:
fdc310
2026-07-22 11:12:26 +08:00
parent e3df35e7f7
commit 6b13c37c3b
58 changed files with 6153 additions and 319 deletions
@@ -366,6 +366,36 @@ class TestMessageAggregatorAddMessage:
# Should have buffered the message
assert len(agg.buffers) == 1
@pytest.mark.asyncio
async def test_control_variables_bypass_aggregation(self):
"""Interaction callbacks must not merge with nearby chat messages."""
aggregator = get_aggregator_module()
app = make_aggregator_app()
mock_pipeline = Mock()
mock_pipeline.pipeline_entity = Mock()
mock_pipeline.pipeline_entity.config = {'trigger': {'message-aggregation': {'enabled': True, 'delay': 10.0}}}
app.pipeline_mgr.get_pipeline_by_uuid = AsyncMock(return_value=mock_pipeline)
agg = aggregator.MessageAggregator(app)
chain = text_chain('approve')
await agg.add_message(
bot_uuid='test-bot',
launcher_type=provider_session.LauncherTypes.PERSON,
launcher_id=12345,
sender_id=12345,
message_event=friend_message_event(chain),
message_chain=chain,
adapter=mock_adapter(),
pipeline_uuid='test-pipeline',
variables={'_interaction_submission': {'interaction_id': 'form-1'}},
)
assert agg.buffers == {}
app.query_pool.add_query.assert_awaited_once()
assert app.query_pool.add_query.call_args.kwargs['variables'] == {
'_interaction_submission': {'interaction_id': 'form-1'}
}
@pytest.mark.asyncio
async def test_max_buffer_flushes_immediately(self):
"""Reaching MAX_BUFFER_MESSAGES should flush immediately."""
@@ -164,6 +164,96 @@ async def test_runtime_pipeline_execute(mock_app, sample_query):
mock_stage.process.assert_called_once()
@pytest.mark.asyncio
async def test_runtime_pipeline_delivers_latest_chunk_as_final(mock_app, sample_query):
"""The terminal chunk, not the first chunk, controls final stream delivery."""
pipelinemgr = get_pipelinemgr_module()
persistence_pipeline = get_persistence_pipeline_module()
entities = get_entities_module()
provider_message = import_module('langbot_plugin.api.entities.builtin.provider.message')
pipeline_entity = Mock(spec=persistence_pipeline.LegacyPipeline)
pipeline_entity.config = sample_query.pipeline_config
pipeline_entity.extensions_preferences = {'plugins': []}
runtime_pipeline = pipelinemgr.RuntimePipeline(mock_app, pipeline_entity, [])
first_chunk = provider_message.MessageChunk(role='assistant', content='Starting', is_final=False)
final_chunk = provider_message.MessageChunk(role='assistant', content='Done', is_final=True)
sample_query.resp_messages = [first_chunk, final_chunk]
sample_query.adapter.is_stream_output_supported = AsyncMock(return_value=True)
result = entities.StageProcessResult(
result_type=entities.ResultType.CONTINUE,
new_query=sample_query,
user_notice='StartingDone',
)
await runtime_pipeline._check_output(sample_query, result)
sample_query.adapter.reply_message_chunk.assert_awaited_once()
call = sample_query.adapter.reply_message_chunk.await_args.kwargs
assert call['bot_message'] is final_chunk
assert call['is_final'] is True
@pytest.mark.asyncio
async def test_response_back_stage_delivers_latest_chunk_as_final(mock_app, sample_query):
respback = import_module('langbot.pkg.pipeline.respback.respback')
provider_message = import_module('langbot_plugin.api.entities.builtin.provider.message')
platform_message = import_module('langbot_plugin.api.entities.builtin.platform.message')
first_chunk = provider_message.MessageChunk(role='assistant', content='Starting', is_final=False)
final_chunk = provider_message.MessageChunk(role='assistant', content='Done', is_final=True)
sample_query.resp_messages = [first_chunk, final_chunk]
sample_query.resp_message_chain = [platform_message.MessageChain([platform_message.Plain(text='StartingDone')])]
sample_query.pipeline_config['output']['force-delay'] = {'min': 0, 'max': 0}
sample_query.adapter.is_stream_output_supported = AsyncMock(return_value=True)
await respback.SendResponseBackStage(mock_app).process(sample_query, 'response-back')
sample_query.adapter.reply_message_chunk.assert_awaited_once()
call = sample_query.adapter.reply_message_chunk.await_args.kwargs
assert call['bot_message'] is final_chunk
assert call['is_final'] is True
@pytest.mark.asyncio
async def test_response_back_stage_keeps_consuming_after_stream_delivery_failure(mock_app, sample_query):
respback = import_module('langbot.pkg.pipeline.respback.respback')
provider_message = import_module('langbot_plugin.api.entities.builtin.provider.message')
platform_message = import_module('langbot_plugin.api.entities.builtin.platform.message')
chunk = provider_message.MessageChunk(role='assistant', content='Progress', is_final=False)
sample_query.resp_messages = [chunk]
sample_query.resp_message_chain = [platform_message.MessageChain([platform_message.Plain(text='Progress')])]
sample_query.pipeline_config['output']['force-delay'] = {'min': 0, 'max': 0}
sample_query.adapter.is_stream_output_supported = AsyncMock(return_value=True)
sample_query.adapter.reply_message_chunk.side_effect = RuntimeError('stream update failed')
result = await respback.SendResponseBackStage(mock_app).process(sample_query, 'response-back')
assert result.result_type.name == 'CONTINUE'
sample_query.adapter.reply_message.assert_not_awaited()
@pytest.mark.asyncio
async def test_response_back_stage_falls_back_to_plain_message_for_failed_final_chunk(mock_app, sample_query):
respback = import_module('langbot.pkg.pipeline.respback.respback')
provider_message = import_module('langbot_plugin.api.entities.builtin.provider.message')
platform_message = import_module('langbot_plugin.api.entities.builtin.platform.message')
chunk = provider_message.MessageChunk(role='assistant', content='Final answer', is_final=True)
sample_query.resp_messages = [chunk]
sample_query.resp_message_chain = [platform_message.MessageChain([platform_message.Plain(text='Final answer')])]
sample_query.pipeline_config['output']['force-delay'] = {'min': 0, 'max': 0}
sample_query.adapter.is_stream_output_supported = AsyncMock(return_value=True)
sample_query.adapter.reply_message_chunk.side_effect = RuntimeError('stream update failed')
result = await respback.SendResponseBackStage(mock_app).process(sample_query, 'response-back')
assert result.result_type.name == 'CONTINUE'
sample_query.adapter.reply_message.assert_awaited_once()
def test_runtime_pipeline_prefers_runner_mcp_resources(mock_app):
"""Runner resource selection should override extension preferences."""
pipelinemgr = get_pipelinemgr_module()
+23
View File
@@ -199,6 +199,29 @@ class TestQueryPoolAddQuery:
call_kwargs = MockQuery.call_args[1]
assert call_kwargs['variables']['_routed_by_rule'] is True
async def test_add_query_merges_control_variables(self):
"""Caller-provided control variables are preserved with routing metadata."""
pool = QueryPool()
mock_query = Mock(query_id=0)
with patch('langbot.pkg.pipeline.pool.pipeline_query.Query') as MockQuery:
MockQuery.return_value = mock_query
await pool.add_query(
bot_uuid='bot1',
launcher_type=Mock(),
launcher_id=1,
sender_id=1,
message_event=Mock(),
message_chain=Mock(),
adapter=Mock(),
routed_by_rule=True,
variables={'_interaction_submission': {'interaction_id': 'form-1'}},
)
variables = MockQuery.call_args.kwargs['variables']
assert variables['_routed_by_rule'] is True
assert variables['_interaction_submission'] == {'interaction_id': 'form-1'}
async def test_add_query_notifier_condition(self):
"""add_query notifies waiting consumers."""
pool = QueryPool()