6e95517659
* Python: Split type checkers by target (pyright source, 5 checkers on tests/samples) Rework the typing setup along the lines of the 'too many type checkers' approach: - Pyright (strict) is now the sole source-code type checker; mypy is removed from source and its [tool.mypy] block becomes a relaxed profile used only for tests/samples. - Tests are checked by all five checkers (pyright relaxed, mypy, pyrefly, ty, zuban); samples by pyright, pyrefly, and ty. All run in a relaxed/ basic profile so authors aren't forced into over-annotation. - Add pyrightconfig.tests.json and bump sample pyright configs to basic. - Unify test/sample typing onto the same parallel fan-out used by source pyright via run_command_items in task_runner.py. - Make version-conditional imports symmetric: keep or drop the '# type: ignore' on both branches so results match across interpreter versions (local vs CI). - Update SKILL.md, DEV_SETUP.md, and CODING_STANDARD.md for the five gating checkers and pyright on source+tests+samples. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Fix merge regressions from main (typing + runtime) Merging main into the type-checker split branch surfaced regressions that the new five-checker test suite and unit tests caught: Runtime fixes: - anthropic: restore the dropped `cache_read_input_token_count` mapping in _parse_usage_from_anthropic (lost during merge conflict resolution). - gemini: _get_function_calling_mode test helper returned str(enum) ('FunctionCallingConfigMode.AUTO') instead of the enum value ('AUTO'). - openai: _response_id_from_token test helper was an infinite self-recursion; return token['response_id']. - orchestrations: reset output_events per approval iteration so the terminal output assertion counts only the final run. - core: drop a stale duplicate harness test whose message ('non-negative') contradicted the source ('positive'). - purview: import PolicyLocation/PolicyScope/ProtectionScopeActivities/ ExecutionMode used by the processor tests. Type-checker fixes (tests, relaxed profile): - core: pyright/mypy/pyrefly/ty/zuban green-ups across the harness, MCP, observability and types tests. - anthropic/openai: route provider-namespaced UsageDetails keys through a dict cast (extra_items TypedDict unsupported by mypy/ty). - purview: typed model constructors and cache-mock casts. - ag-ui: annotate WorkflowContext[Any, Any] so yield_output accepts test payloads, guard Optional forwarded_props, and ty-ignore intentional bad args. Source pyright (sole source checker) flagged unnecessary ignores newly introduced by merged code in core _tools.py and declarative _declarative_base.py. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Isolate per-package mypy cache in test-typing fan-out The parallel test-typing fan-out runs many mypy processes concurrently, all defaulting to a single shared ./.mypy_cache. Concurrent writes corrupt the cache and mypy aborts with INTERNAL ERROR (intermittently, depending on worker timing) -- which is why CI's Test Typing job failed on a shifting set of packages while a single-package run was fine. Give each mypy invocation an isolated cache dir keyed by its target paths so incremental caching still works per package without races. Other checkers (zuban/pyrefly/ty/pyright) maintain their own caches and are unaffected. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Make lab pyright-only on source (drop source mypy) Lab was the last package still running mypy on its source code, requiring mypy-only `# type: ignore` comments that pyright (the sole source checker everywhere else) flags as unnecessary. Align lab with the rest of the monorepo: - Remove the lab source mypy poe tasks (mypy-gaia/lightning/tau2) and the now-dead strict [tool.mypy] config block. - Drop the 'Run lab mypy' CI step; lab source is type-checked by pyright only. Lab tests remain covered by the workspace test-typing fan-out (mypy, pyrefly, ty, zuban, pyright over tests using the relaxed root config). Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Fix test-typing regressions from latest main merge A fresh merge from main brought in new test code never run under the five-checker test-typing suite. Green up across the affected packages: - core: narrow Optional span.attributes with 'and' guards in span filters and assert+cast the json.loads(...attributes[...]) reads (test_observability); match the existing as_agent ignore on the protocol-typed fixture (test_clients). - openai: align new streaming tests with the established chat_options dict pattern (ChatOptions TypedDict isn't assignable to dict), route Optional .annotations[0] access through a small _first_annotation helper (mirrors the file's assert-not-None convention), and annotate a mapped ResponseStream. - foundry_hosting: annotate error: dict[str, Any] = body.get(...) or {} (zuban needs the annotation). - foundry: narrow ignores for the live AIProjectClient credential arg (pyrefly) and connections.get_default (zuban) SDK type gaps. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * updated pyright version * pyright fix * Python: Fix source typing for pyright 1.1.410 Pyright 1.1.410 tightened several checks. Apply the same source fixes as upstream PR #6275: - anthropic: import AsyncAnthropicBedrock from anthropic.lib.bedrock and AsyncAnthropicVertex from anthropic.lib.vertex (no longer re-exported from the anthropic top-level package -> reportPrivateImportUsage). - core _types.py: cast the transform-hook result to UpdateT (reportAssignmentType). - core _workflows/_events.py: annotate the @contextmanager helper as Generator[None] instead of Iterator[None] (reportDeprecated). - redis: build the combined filter expression with an explicit loop instead of reduce(and_, ...), which pyright could no longer fully type (drops the now unused functools.reduce / operator.and_ imports). Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Accept plain-text body in Azure Functions workflow/run endpoint The workflow_orchestrator already accepts plain strings as well as JSON objects via context.get_input(), but the start_workflow_orchestration HTTP handler only accepted JSON and returned 400 for any non-JSON body. This made the functions integration tests that POST text/plain to /api/workflow/run (e.g. test_09_workflow_shared_state) fail consistently with 400 != 202. Fall back to the raw request body (decoded as UTF-8) when the body is not JSON, rejecting only a truly empty body. The JSON path is unchanged. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
769 lines
28 KiB
Python
769 lines
28 KiB
Python
# Copyright (c) Microsoft. All rights reserved.
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"""Unit tests for AgentEntity.
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Run with: pytest tests/test_entities.py -v
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"""
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from collections.abc import AsyncIterator
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from datetime import datetime
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from typing import Any, TypeVar
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from unittest.mock import AsyncMock, Mock
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import pytest
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from agent_framework import AgentResponse, AgentResponseUpdate, Content, Message, ResponseStream
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from pydantic import BaseModel
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from agent_framework_durabletask import (
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AgentEntity,
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AgentEntityStateProviderMixin,
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DurableAgentState,
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DurableAgentStateData,
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DurableAgentStateMessage,
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DurableAgentStateRequest,
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DurableAgentStateResponse,
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DurableAgentStateTextContent,
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DurableAgentStateTextReasoningContent,
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RunRequest,
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)
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from agent_framework_durabletask._entities import DurableTaskEntityStateProvider
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StateT = TypeVar("StateT")
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class MockEntityContext:
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"""Minimal durabletask EntityContext shim for tests."""
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def __init__(self, initial_state: Any = None) -> None:
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self._state = initial_state
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def get_state(
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self,
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intended_type: type[StateT] | None = None,
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default: StateT | None = None,
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) -> Any:
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del intended_type
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if self._state is None:
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return default
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return self._state
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def set_state(self, new_state: Any) -> None:
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self._state = new_state
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class _InMemoryStateProvider(AgentEntityStateProviderMixin):
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"""Test-only state provider for AgentEntity."""
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def __init__(self, *, thread_id: str, initial_state: dict[str, Any] | None = None) -> None:
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self._thread_id = thread_id
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self._state_dict: dict[str, Any] = initial_state or {}
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def _get_state_dict(self) -> dict[str, Any]:
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return self._state_dict
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def _set_state_dict(self, state: dict[str, Any]) -> None:
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self._state_dict = state
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def _get_thread_id_from_entity(self) -> str:
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return self._thread_id
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def _make_entity(agent: Any, callback: Any = None, *, thread_id: str = "test-thread") -> AgentEntity:
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return AgentEntity(agent, callback=callback, state_provider=_InMemoryStateProvider(thread_id=thread_id))
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def _role_value(chat_message: DurableAgentStateMessage) -> str:
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"""Helper to extract the string role from a Message."""
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role = getattr(chat_message, "role", None)
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role_value = getattr(role, "value", role)
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if role_value is None:
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return ""
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return str(role_value)
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def _agent_response(text: str | None) -> AgentResponse:
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"""Create an AgentResponse with a single assistant message."""
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message = (
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Message(role="assistant", contents=[text]) if text is not None else Message(role="assistant", contents=[""])
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)
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return AgentResponse(messages=[message], created_at="2024-01-01T00:00:00Z")
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def _create_mock_run(response: AgentResponse | None = None, side_effect: Exception | None = None):
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"""Create a mock run function that handles stream parameter correctly.
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The durabletask entity code tries run(stream=True) first, then falls back to run(stream=False).
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This helper creates a mock that raises TypeError for streaming (to trigger fallback) and
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returns the response or raises the side_effect for non-streaming.
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"""
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async def mock_run(*args, stream=False, **kwargs):
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if stream:
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# Simulate "streaming not supported" to trigger fallback
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raise TypeError("streaming not supported")
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if side_effect:
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raise side_effect
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return response
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return mock_run
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class RecordingCallback:
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"""Callback implementation capturing streaming and final responses for assertions."""
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def __init__(self):
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self.stream_mock = AsyncMock()
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self.response_mock = AsyncMock()
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async def on_streaming_response_update(
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self,
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update: AgentResponseUpdate,
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context: Any,
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) -> None:
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await self.stream_mock(update, context)
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async def on_agent_response(self, response: AgentResponse, context: Any) -> None:
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await self.response_mock(response, context)
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class EntityStructuredResponse(BaseModel):
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answer: float
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class TestAgentEntityInit:
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"""Test suite for AgentEntity initialization."""
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def test_init_creates_entity(self) -> None:
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"""Test that AgentEntity initializes correctly."""
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mock_agent = Mock()
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entity = _make_entity(mock_agent)
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assert entity.agent == mock_agent
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assert len(entity.state.data.conversation_history) == 0
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assert entity.state.data.extension_data is None
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assert entity.state.schema_version == DurableAgentState.SCHEMA_VERSION
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def test_init_stores_agent_reference(self) -> None:
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"""Test that the agent reference is stored correctly."""
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mock_agent = Mock()
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mock_agent.name = "TestAgent"
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entity = _make_entity(mock_agent)
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assert entity.agent.name == "TestAgent"
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def test_init_with_different_agent_types(self) -> None:
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"""Test initialization with different agent types."""
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agent1 = Mock()
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agent1.__class__.__name__ = "AzureOpenAIAgent"
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agent2 = Mock()
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agent2.__class__.__name__ = "CustomAgent"
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entity1 = _make_entity(agent1)
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entity2 = _make_entity(agent2)
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assert entity1.agent.__class__.__name__ == "AzureOpenAIAgent"
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assert entity2.agent.__class__.__name__ == "CustomAgent"
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class TestDurableTaskEntityStateProvider:
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"""Tests for DurableTaskEntityStateProvider wrapper behavior and persistence wiring."""
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def _make_durabletask_entity_provider(
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self,
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agent: Any,
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*,
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initial_state: dict[str, Any] | None = None,
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) -> tuple[DurableTaskEntityStateProvider, MockEntityContext]:
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"""Create a DurableTaskEntityStateProvider wired to an in-memory durabletask context."""
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entity = DurableTaskEntityStateProvider()
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ctx = MockEntityContext(initial_state)
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# DurableEntity provides this hook; required for get_state/set_state to work in unit tests.
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entity._initialize_entity_context(ctx) # type: ignore[attr-defined, arg-type] # ty: ignore[invalid-argument-type]
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return entity, ctx
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def test_reset_persists_cleared_state(self) -> None:
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mock_agent = Mock()
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existing_state = {
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"schemaVersion": "1.0.0",
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"data": {
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"conversationHistory": [
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{
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"$type": "request",
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"correlationId": "corr-existing-1",
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"createdAt": "2024-01-01T00:00:00Z",
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"messages": [{"role": "user", "contents": [{"$type": "text", "text": "msg1"}]}],
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}
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]
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},
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}
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entity, ctx = self._make_durabletask_entity_provider(mock_agent, initial_state=existing_state)
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entity.reset()
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persisted = ctx.get_state(dict, default={})
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assert isinstance(persisted, dict)
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assert persisted["data"]["conversationHistory"] == []
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class TestAgentEntityRunAgent:
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"""Test suite for the run_agent operation."""
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async def test_run_executes_agent(self) -> None:
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"""Test that run executes the agent."""
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mock_agent = Mock()
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mock_response = _agent_response("Test response")
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# Mock run() to return response for non-streaming, raise for streaming (to test fallback)
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async def mock_run(*args, stream=False, **kwargs):
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if stream:
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raise TypeError("streaming not supported")
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return mock_response
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mock_agent.run = mock_run
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entity = _make_entity(mock_agent)
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result = await entity.run({
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"message": "Test message",
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"correlationId": "corr-entity-1",
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})
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# Verify result
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assert isinstance(result, AgentResponse)
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assert result.text == "Test response"
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async def test_run_agent_streaming_callbacks_invoked(self) -> None:
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"""Ensure streaming updates trigger callbacks when using run(stream=True)."""
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updates = [
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AgentResponseUpdate(contents=[Content.from_text(text="Hello")]),
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AgentResponseUpdate(contents=[Content.from_text(text=" world")]),
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]
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async def update_generator() -> AsyncIterator[AgentResponseUpdate]:
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for update in updates:
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yield update
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mock_agent = Mock()
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mock_agent.name = "StreamingAgent"
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# Mock run() to return ResponseStream when stream=True
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def mock_run(*args, stream=False, **kwargs):
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if stream:
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return ResponseStream(
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update_generator(),
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finalizer=AgentResponse.from_updates,
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)
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raise AssertionError("run(stream=False) should not be called when streaming succeeds")
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mock_agent.run = mock_run
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callback = RecordingCallback()
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entity = _make_entity(mock_agent, callback=callback, thread_id="session-1")
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result = await entity.run(
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{
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"message": "Tell me something",
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"correlationId": "corr-stream-1",
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},
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)
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assert isinstance(result, AgentResponse)
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assert "Hello" in result.text
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assert callback.stream_mock.await_count == len(updates)
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assert callback.response_mock.await_count == 1
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# Validate callback arguments
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stream_calls = callback.stream_mock.await_args_list
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for expected_update, recorded_call in zip(updates, stream_calls, strict=True):
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assert recorded_call.args[0] is expected_update
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context = recorded_call.args[1]
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assert context.agent_name == "StreamingAgent"
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assert context.correlation_id == "corr-stream-1"
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assert context.thread_id == "session-1"
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assert context.request_message == "Tell me something"
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final_call = callback.response_mock.await_args
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assert final_call is not None
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final_response, final_context = final_call.args
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assert final_context.agent_name == "StreamingAgent"
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assert final_context.correlation_id == "corr-stream-1"
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assert final_context.thread_id == "session-1"
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assert final_context.request_message == "Tell me something"
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assert getattr(final_response, "text", "").strip()
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async def test_run_agent_final_callback_without_streaming(self) -> None:
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"""Ensure the final callback fires even when streaming is unavailable."""
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mock_agent = Mock()
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mock_agent.name = "NonStreamingAgent"
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agent_response = _agent_response("Final response")
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mock_agent.run = _create_mock_run(response=agent_response)
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callback = RecordingCallback()
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entity = _make_entity(mock_agent, callback=callback, thread_id="session-2")
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result = await entity.run(
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{
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"message": "Hi",
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"correlationId": "corr-final-1",
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},
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)
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assert isinstance(result, AgentResponse)
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assert result.text == "Final response"
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assert callback.stream_mock.await_count == 0
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assert callback.response_mock.await_count == 1
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final_call = callback.response_mock.await_args
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assert final_call is not None
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assert final_call.args[0] is agent_response
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final_context = final_call.args[1]
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assert final_context.agent_name == "NonStreamingAgent"
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assert final_context.correlation_id == "corr-final-1"
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assert final_context.thread_id == "session-2"
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assert final_context.request_message == "Hi"
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async def test_run_agent_updates_conversation_history(self) -> None:
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"""Test that run_agent updates the conversation history."""
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mock_agent = Mock()
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mock_response = _agent_response("Agent response")
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mock_agent.run = _create_mock_run(response=mock_response)
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entity = _make_entity(mock_agent)
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await entity.run({"message": "User message", "correlationId": "corr-entity-2"})
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# Should have 2 entries: user message + assistant response
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user_history = entity.state.data.conversation_history[0].messages
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assistant_history = entity.state.data.conversation_history[1].messages
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assert len(user_history) == 1
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user_msg = user_history[0]
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assert _role_value(user_msg) == "user"
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assert user_msg.text == "User message"
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assistant_msg = assistant_history[0]
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assert _role_value(assistant_msg) == "assistant"
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assert assistant_msg.text == "Agent response"
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async def test_run_agent_increments_message_count(self) -> None:
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"""Test that run_agent increments the message count."""
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mock_agent = Mock()
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mock_agent.run = _create_mock_run(response=_agent_response("Response"))
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entity = _make_entity(mock_agent)
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assert len(entity.state.data.conversation_history) == 0
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await entity.run({"message": "Message 1", "correlationId": "corr-entity-3a"})
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assert len(entity.state.data.conversation_history) == 2
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await entity.run({"message": "Message 2", "correlationId": "corr-entity-3b"})
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assert len(entity.state.data.conversation_history) == 4
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await entity.run({"message": "Message 3", "correlationId": "corr-entity-3c"})
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assert len(entity.state.data.conversation_history) == 6
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async def test_run_requires_entity_thread_id(self) -> None:
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"""Test that AgentEntity.run rejects missing entity thread identifiers."""
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mock_agent = Mock()
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mock_agent.run = _create_mock_run(response=_agent_response("Response"))
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entity = _make_entity(mock_agent, thread_id="")
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with pytest.raises(ValueError, match="thread_id"):
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await entity.run({"message": "Message", "correlationId": "corr-entity-5"})
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async def test_run_agent_multiple_conversations(self) -> None:
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"""Test that run_agent maintains history across multiple messages."""
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mock_agent = Mock()
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mock_agent.run = _create_mock_run(response=_agent_response("Response"))
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entity = _make_entity(mock_agent)
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# Send multiple messages
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await entity.run({"message": "Message 1", "correlationId": "corr-entity-8a"})
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await entity.run({"message": "Message 2", "correlationId": "corr-entity-8b"})
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await entity.run({"message": "Message 3", "correlationId": "corr-entity-8c"})
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history = entity.state.data.conversation_history
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assert len(history) == 6
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assert entity.state.message_count == 6
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async def test_run_filters_reasoning_content_from_replayed_history(self) -> None:
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"""Replayed durable history should not include reasoning-only content items."""
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captured_messages: list[Message] = []
|
|
|
|
async def mock_run(*args, stream=False, **kwargs):
|
|
if stream:
|
|
raise TypeError("streaming not supported")
|
|
captured_messages.extend(kwargs["messages"])
|
|
return _agent_response("Response")
|
|
|
|
mock_agent = Mock()
|
|
mock_agent.run = mock_run
|
|
|
|
entity = _make_entity(mock_agent)
|
|
entity.state.data = DurableAgentStateData(
|
|
conversation_history=[
|
|
DurableAgentStateRequest(
|
|
correlation_id="corr-entity-prev-request",
|
|
created_at=datetime.now(),
|
|
messages=[
|
|
DurableAgentStateMessage(
|
|
role="user",
|
|
contents=[DurableAgentStateTextContent(text="Hi")],
|
|
)
|
|
],
|
|
),
|
|
DurableAgentStateResponse(
|
|
correlation_id="corr-entity-prev-response",
|
|
created_at=datetime.now(),
|
|
messages=[
|
|
DurableAgentStateMessage(
|
|
role="assistant",
|
|
contents=[
|
|
DurableAgentStateTextReasoningContent(text="Let me think."),
|
|
DurableAgentStateTextContent(text="Hello there."),
|
|
],
|
|
)
|
|
],
|
|
),
|
|
]
|
|
)
|
|
|
|
await entity.run({"message": "What next?", "correlationId": "corr-entity-replay"})
|
|
|
|
assert captured_messages
|
|
assert all(content.type != "reasoning" for message in captured_messages for content in message.contents)
|
|
assert [message.text for message in captured_messages] == ["Hi", "Hello there.", "What next?"]
|
|
|
|
|
|
class TestAgentEntityReset:
|
|
"""Test suite for the reset operation."""
|
|
|
|
def test_reset_clears_conversation_history(self) -> None:
|
|
"""Test that reset clears the conversation history."""
|
|
mock_agent = Mock()
|
|
entity = _make_entity(mock_agent)
|
|
|
|
# Add some history with proper DurableAgentStateEntry objects
|
|
entity.state.data.conversation_history = [
|
|
DurableAgentStateRequest(
|
|
correlation_id="test-1",
|
|
created_at=datetime.now(),
|
|
messages=[
|
|
DurableAgentStateMessage(
|
|
role="user",
|
|
contents=[DurableAgentStateTextContent(text="msg1")],
|
|
)
|
|
],
|
|
),
|
|
]
|
|
|
|
entity.reset()
|
|
|
|
assert entity.state.data.conversation_history == []
|
|
|
|
def test_reset_with_extension_data(self) -> None:
|
|
"""Test that reset works when entity has extension data."""
|
|
mock_agent = Mock()
|
|
entity = _make_entity(mock_agent)
|
|
|
|
# Set up some initial state with conversation history
|
|
entity.state.data = DurableAgentStateData(conversation_history=[], extension_data={"some_key": "some_value"})
|
|
|
|
entity.reset()
|
|
|
|
assert len(entity.state.data.conversation_history) == 0
|
|
|
|
def test_reset_clears_message_count(self) -> None:
|
|
"""Test that reset clears the message count."""
|
|
mock_agent = Mock()
|
|
entity = _make_entity(mock_agent)
|
|
|
|
entity.reset()
|
|
|
|
assert len(entity.state.data.conversation_history) == 0
|
|
|
|
async def test_reset_after_conversation(self) -> None:
|
|
"""Test reset after a full conversation."""
|
|
mock_agent = Mock()
|
|
mock_agent.run = _create_mock_run(response=_agent_response("Response"))
|
|
|
|
entity = _make_entity(mock_agent)
|
|
|
|
# Have a conversation
|
|
await entity.run({"message": "Message 1", "correlationId": "corr-entity-10a"})
|
|
await entity.run({"message": "Message 2", "correlationId": "corr-entity-10b"})
|
|
|
|
# Verify state before reset
|
|
assert entity.state.message_count == 4
|
|
assert len(entity.state.data.conversation_history) == 4
|
|
|
|
# Reset
|
|
entity.reset()
|
|
|
|
# Verify state after reset
|
|
assert entity.state.message_count == 0
|
|
assert len(entity.state.data.conversation_history) == 0
|
|
|
|
|
|
class TestErrorHandling:
|
|
"""Test suite for error handling in entities."""
|
|
|
|
async def test_run_agent_handles_agent_exception(self) -> None:
|
|
"""Test that run_agent handles agent exceptions."""
|
|
mock_agent = Mock()
|
|
mock_agent.run = _create_mock_run(side_effect=Exception("Agent failed"))
|
|
|
|
entity = _make_entity(mock_agent)
|
|
|
|
result = await entity.run({"message": "Message", "correlationId": "corr-entity-error-1"})
|
|
|
|
assert isinstance(result, AgentResponse)
|
|
assert len(result.messages) == 1
|
|
content = result.messages[0].contents[0]
|
|
assert isinstance(content, Content)
|
|
assert "Agent failed" in (content.message or "")
|
|
assert content.error_code == "Exception"
|
|
|
|
async def test_run_agent_handles_value_error(self) -> None:
|
|
"""Test that run_agent handles ValueError instances."""
|
|
mock_agent = Mock()
|
|
mock_agent.run = _create_mock_run(side_effect=ValueError("Invalid input"))
|
|
|
|
entity = _make_entity(mock_agent)
|
|
|
|
result = await entity.run({"message": "Message", "correlationId": "corr-entity-error-2"})
|
|
|
|
assert isinstance(result, AgentResponse)
|
|
assert len(result.messages) == 1
|
|
content = result.messages[0].contents[0]
|
|
assert isinstance(content, Content)
|
|
assert content.error_code == "ValueError"
|
|
assert "Invalid input" in str(content.message)
|
|
|
|
async def test_run_agent_handles_timeout_error(self) -> None:
|
|
"""Test that run_agent handles TimeoutError instances."""
|
|
mock_agent = Mock()
|
|
mock_agent.run = _create_mock_run(side_effect=TimeoutError("Request timeout"))
|
|
|
|
entity = _make_entity(mock_agent)
|
|
|
|
result = await entity.run({"message": "Message", "correlationId": "corr-entity-error-3"})
|
|
|
|
assert isinstance(result, AgentResponse)
|
|
assert len(result.messages) == 1
|
|
content = result.messages[0].contents[0]
|
|
assert isinstance(content, Content)
|
|
assert content.error_code == "TimeoutError"
|
|
|
|
async def test_run_agent_preserves_message_on_error(self) -> None:
|
|
"""Test that run_agent preserves message information on error."""
|
|
mock_agent = Mock()
|
|
mock_agent.run = _create_mock_run(side_effect=Exception("Error"))
|
|
|
|
entity = _make_entity(mock_agent)
|
|
|
|
result = await entity.run(
|
|
{"message": "Test message", "correlationId": "corr-entity-error-4"},
|
|
)
|
|
|
|
# Even on error, message info should be preserved
|
|
assert isinstance(result, AgentResponse)
|
|
assert len(result.messages) == 1
|
|
content = result.messages[0].contents[0]
|
|
assert isinstance(content, Content)
|
|
|
|
|
|
class TestConversationHistory:
|
|
"""Test suite for conversation history tracking."""
|
|
|
|
async def test_conversation_history_has_timestamps(self) -> None:
|
|
"""Test that conversation history entries include timestamps."""
|
|
mock_agent = Mock()
|
|
mock_agent.run = _create_mock_run(response=_agent_response("Response"))
|
|
|
|
entity = _make_entity(mock_agent)
|
|
|
|
await entity.run({"message": "Message", "correlationId": "corr-entity-history-1"})
|
|
|
|
# Check both user and assistant messages have timestamps
|
|
for entry in entity.state.data.conversation_history:
|
|
timestamp = entry.created_at
|
|
assert timestamp is not None
|
|
# Verify timestamp is in ISO format
|
|
datetime.fromisoformat(str(timestamp))
|
|
|
|
async def test_conversation_history_ordering(self) -> None:
|
|
"""Test that conversation history maintains the correct order."""
|
|
mock_agent = Mock()
|
|
|
|
entity = _make_entity(mock_agent)
|
|
|
|
# Send multiple messages with different responses
|
|
mock_agent.run = _create_mock_run(response=_agent_response("Response 1"))
|
|
await entity.run(
|
|
{"message": "Message 1", "correlationId": "corr-entity-history-2a"},
|
|
)
|
|
|
|
mock_agent.run = _create_mock_run(response=_agent_response("Response 2"))
|
|
await entity.run(
|
|
{"message": "Message 2", "correlationId": "corr-entity-history-2b"},
|
|
)
|
|
|
|
mock_agent.run = _create_mock_run(response=_agent_response("Response 3"))
|
|
await entity.run(
|
|
{"message": "Message 3", "correlationId": "corr-entity-history-2c"},
|
|
)
|
|
|
|
# Verify order
|
|
history = entity.state.data.conversation_history
|
|
# Each conversation turn creates 2 entries: request and response
|
|
assert history[0].messages[0].text == "Message 1" # Request 1
|
|
assert history[1].messages[0].text == "Response 1" # Response 1
|
|
assert history[2].messages[0].text == "Message 2" # Request 2
|
|
assert history[3].messages[0].text == "Response 2" # Response 2
|
|
assert history[4].messages[0].text == "Message 3" # Request 3
|
|
assert history[5].messages[0].text == "Response 3" # Response 3
|
|
|
|
async def test_conversation_history_role_alternation(self) -> None:
|
|
"""Test that conversation history alternates between user and assistant roles."""
|
|
mock_agent = Mock()
|
|
mock_agent.run = _create_mock_run(response=_agent_response("Response"))
|
|
|
|
entity = _make_entity(mock_agent)
|
|
|
|
await entity.run(
|
|
{"message": "Message 1", "correlationId": "corr-entity-history-3a"},
|
|
)
|
|
await entity.run(
|
|
{"message": "Message 2", "correlationId": "corr-entity-history-3b"},
|
|
)
|
|
|
|
# Check role alternation
|
|
history = entity.state.data.conversation_history
|
|
# Each conversation turn creates 2 entries: request and response
|
|
assert history[0].messages[0].role == "user" # Request 1
|
|
assert history[1].messages[0].role == "assistant" # Response 1
|
|
assert history[2].messages[0].role == "user" # Request 2
|
|
assert history[3].messages[0].role == "assistant" # Response 2
|
|
|
|
|
|
class TestRunRequestSupport:
|
|
"""Test suite for RunRequest support in entities."""
|
|
|
|
async def test_run_agent_with_run_request_object(self) -> None:
|
|
"""Test run_agent with a RunRequest object."""
|
|
mock_agent = Mock()
|
|
mock_agent.run = _create_mock_run(response=_agent_response("Response"))
|
|
|
|
entity = _make_entity(mock_agent)
|
|
|
|
request = RunRequest(
|
|
message="Test message",
|
|
role="user",
|
|
enable_tool_calls=True,
|
|
correlation_id="corr-runreq-1",
|
|
)
|
|
|
|
result = await entity.run(request)
|
|
|
|
assert isinstance(result, AgentResponse)
|
|
assert result.text == "Response"
|
|
|
|
async def test_run_agent_with_dict_request(self) -> None:
|
|
"""Test run_agent with a dictionary request."""
|
|
mock_agent = Mock()
|
|
mock_agent.run = _create_mock_run(response=_agent_response("Response"))
|
|
|
|
entity = _make_entity(mock_agent)
|
|
|
|
request_dict = {
|
|
"message": "Test message",
|
|
"role": "system",
|
|
"enable_tool_calls": False,
|
|
"correlationId": "corr-runreq-2",
|
|
}
|
|
|
|
result = await entity.run(request_dict)
|
|
|
|
assert isinstance(result, AgentResponse)
|
|
assert result.text == "Response"
|
|
|
|
async def test_run_agent_with_string_raises_without_correlation(self) -> None:
|
|
"""Test that run_agent rejects legacy string input without correlation ID."""
|
|
mock_agent = Mock()
|
|
mock_agent.run = _create_mock_run(response=_agent_response("Response"))
|
|
|
|
entity = _make_entity(mock_agent)
|
|
|
|
with pytest.raises(ValueError):
|
|
await entity.run("Simple message")
|
|
|
|
async def test_run_agent_stores_role_in_history(self) -> None:
|
|
"""Test that run_agent stores the role in conversation history."""
|
|
mock_agent = Mock()
|
|
mock_agent.run = _create_mock_run(response=_agent_response("Response"))
|
|
|
|
entity = _make_entity(mock_agent)
|
|
|
|
# Send as system role
|
|
request = RunRequest(
|
|
message="System message",
|
|
role="system",
|
|
correlation_id="corr-runreq-3",
|
|
)
|
|
|
|
await entity.run(request)
|
|
|
|
# Check that system role was stored
|
|
history = entity.state.data.conversation_history
|
|
assert history[0].messages[0].role == "system"
|
|
assert history[0].messages[0].text == "System message"
|
|
|
|
async def test_run_agent_with_response_format(self) -> None:
|
|
"""Test run_agent with a JSON response format."""
|
|
mock_agent = Mock()
|
|
# Return JSON response
|
|
mock_agent.run = _create_mock_run(response=_agent_response('{"answer": 42}'))
|
|
|
|
entity = _make_entity(mock_agent)
|
|
|
|
request = RunRequest(
|
|
message="What is the answer?",
|
|
response_format=EntityStructuredResponse,
|
|
correlation_id="corr-runreq-4",
|
|
)
|
|
|
|
result = await entity.run(request)
|
|
|
|
assert isinstance(result, AgentResponse)
|
|
assert result.text == '{"answer": 42}'
|
|
assert result.value is None
|
|
|
|
async def test_run_agent_disable_tool_calls(self) -> None:
|
|
"""Test run_agent with tool calls disabled."""
|
|
mock_agent = Mock()
|
|
mock_agent.run = _create_mock_run(response=_agent_response("Response"))
|
|
|
|
entity = _make_entity(mock_agent)
|
|
|
|
request = RunRequest(message="Test", enable_tool_calls=False, correlation_id="corr-runreq-5")
|
|
|
|
result = await entity.run(request)
|
|
|
|
assert isinstance(result, AgentResponse)
|
|
# Agent should have been called (tool disabling is framework-dependent)
|
|
assert result.text == "Response"
|
|
|
|
|
|
if __name__ == "__main__":
|
|
pytest.main([__file__, "-v", "--tb=short"])
|