feat(database): add noop mode with config flag and update related tests (#9054)
* test: enhance agent component tests and add new fixture for database-less sessions - Added `use_noop_session` fixture to facilitate testing without a database. - Expanded `TestAgentComponent` with new tests for agent responses using the Calculator tool and validation across all OpenAI and Anthropic models. - Updated `test_component.py` to include tests for message sending without a database, ensuring proper event handling and message integrity. - Refactored existing tests for clarity and consistency. * fix: enhance user retrieval logic in get_or_create_super_user and teardown_superuser functions - Updated user retrieval in both functions to handle different result types from the database query, ensuring robustness against unexpected return values. - Added checks for `first()` method and list type to improve error handling and maintainability. * feat: add support for no-op database operations in settings - Introduced `use_noop_database` configuration option to disable all database operations, controlled by the `LANGFLOW_USE_NOOP_DATABASE` environment variable. - Updated the `use_noop_session` fixture to reflect the new environment variable for testing without a database. * feat: implement NoopSession for database-less operations - Added NoopSession class to provide a no-operation database session, allowing for testing and operation without a real database connection. - Updated DatabaseService to utilize NoopSession when the `use_noop_database` setting is enabled, ensuring all database operations are disabled in this mode. - Enhanced error handling and logging for session management, improving robustness in scenarios where the database is not in use. * refactor: update import paths for NoopSession in test files - Changed import path for NoopSession from `langflow.services.database.service` to `langflow.services.database.session` in both `test_agent_component.py` and `test_component.py`. - This refactor improves code organization and aligns with recent changes in the project structure. * feat: enhance NoopSession with result handling methods - Added an internal _NoopResult class to the NoopSession, providing methods `first()`, `all()`, and `one_or_none()` for better handling of no-operation results. - This enhancement improves the usability of NoopSession in testing scenarios by mimicking expected database query behaviors. * refactor: improve logging for NOOP database session - Changed the log level from warning to info for the NOOP database session message in the DatabaseService class. - This adjustment enhances clarity in logging, indicating that all DB operations are disabled without implying an error condition. * docs: improve docstring formatting for custom_component_update function - Reformatted the docstring for the custom_component_update function to enhance readability by breaking long lines into multiple lines. - This change improves documentation clarity, making it easier for developers to understand the function's purpose and behavior. * docs: add LANGFLOW_USE_NOOP_DATABASE environment variable documentation - Introduced documentation for the new LANGFLOW_USE_NOOP_DATABASE environment variable, which allows users to enable a no-op database mode, avoiding database connections and operations. - This addition enhances the clarity of configuration options available for Langflow, aiding users in understanding how to run flows without a database. * refactor: move NOOP database session logging to settings - Removed the logging statement from the DatabaseService class and added it to the `set_use_noop_database` field validator in the Settings class. - This change centralizes the logging for the NOOP database session, improving code organization and ensuring that the message is logged whenever the setting is applied.
This commit is contained in:
Gabriel Luiz Freitas Almeida
GitHub
parent
d8291131ab
commit
f1e95940a5
9 changed files with 294 additions and 47 deletions
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@ -76,6 +76,10 @@ def blockbuster(request):
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.can_block_in("rich/traceback.py", "_render_stack")
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.can_block_in("langchain_core/_api/internal.py", "is_caller_internal")
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.can_block_in("langchain_core/runnables/utils.py", "get_function_nonlocals")
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.can_block_in("alembic/versions", "_load_revisions")
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.can_block_in("dotenv/main.py", "find_dotenv")
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.can_block_in("alembic/script/base.py", "_load_revisions")
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.can_block_in("alembic/env.py", "_do_run_migrations")
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)
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for func in ["os.stat", "os.path.abspath", "os.scandir", "os.listdir"]:
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@ -366,6 +370,16 @@ def deactivate_tracing(monkeypatch):
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monkeypatch.undo()
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@pytest.fixture
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def use_noop_session(monkeypatch):
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monkeypatch.setenv("LANGFLOW_USE_NOOP_DATABASE", "1")
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# Optionally patch the Settings object if needed
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# from langflow.services.settings.base import Settings
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# monkeypatch.setattr(Settings, "use_noop_database", True)
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yield
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monkeypatch.undo()
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@pytest.fixture(name="client")
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async def client_fixture(
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session: Session, # noqa: ARG001
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@ -1,5 +1,6 @@
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import os
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from typing import Any
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from unittest.mock import AsyncMock, patch
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from uuid import uuid4
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import pytest
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@ -14,6 +15,7 @@ from langflow.base.models.openai_constants import (
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from langflow.components.agents.agent import AgentComponent
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from langflow.components.tools.calculator import CalculatorToolComponent
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from langflow.custom import Component
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from langflow.services.database.session import NoopSession
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from tests.base import ComponentTestBaseWithClient, ComponentTestBaseWithoutClient
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from tests.unit.mock_language_model import MockLanguageModel
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@ -21,7 +23,7 @@ from tests.unit.mock_language_model import MockLanguageModel
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# Load environment variables from .env file
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class TestAgentComponent(ComponentTestBaseWithoutClient):
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class TestAgentComponentWithoutClient(ComponentTestBaseWithoutClient):
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@pytest.fixture
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def component_class(self):
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return AgentComponent
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@ -99,16 +101,6 @@ class TestAgentComponent(ComponentTestBaseWithoutClient):
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# Verify model_name field is cleared for Custom
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assert "model_name" not in updated_config
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class TestAgentComponentWithClient(ComponentTestBaseWithClient):
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@pytest.fixture
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def component_class(self):
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return AgentComponent
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@pytest.fixture
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def file_names_mapping(self):
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return []
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@pytest.mark.api_key_required
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@pytest.mark.no_blockbuster
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async def test_agent_component_with_calculator(self):
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@ -124,13 +116,19 @@ class TestAgentComponentWithClient(ComponentTestBaseWithClient):
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tools=tools,
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input_value=input_value,
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api_key=api_key,
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model_name="gpt-4o",
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agent_llm="OpenAI",
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model_name="gpt-4.1-nano",
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llm_type="OpenAI",
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temperature=temperature,
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_session_id=str(uuid4()),
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)
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response = await agent.message_response()
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with (
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patch.object(NoopSession, "add", new_callable=AsyncMock) as mock_add,
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patch.object(NoopSession, "commit", new_callable=AsyncMock) as mock_commit,
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):
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response = await agent.message_response()
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assert mock_add.called
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assert mock_commit.called
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assert "4" in response.data.get("text")
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@pytest.mark.api_key_required
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@ -141,22 +139,122 @@ class TestAgentComponentWithClient(ComponentTestBaseWithClient):
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input_value = "What is 2 + 2?"
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# Iterate over all OpenAI models
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failed_models = []
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failed_models = {}
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for model_name in OPENAI_CHAT_MODEL_NAMES + OPENAI_REASONING_MODEL_NAMES:
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# Initialize the AgentComponent with mocked inputs
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tools = [CalculatorToolComponent().build_tool()] # Use the Calculator component as a tool
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agent = AgentComponent(
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tools=tools,
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input_value=input_value,
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api_key=api_key,
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model_name=model_name,
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agent_llm="OpenAI",
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_session_id=str(uuid4()),
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)
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try:
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# Initialize the AgentComponent with mocked inputs
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tools = [CalculatorToolComponent().build_tool()] # Use the Calculator component as a tool
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agent = AgentComponent(
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tools=tools,
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input_value=input_value,
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api_key=api_key,
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model_name=model_name,
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agent_llm=None,
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llm_type="OpenAI",
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temperature=0.1,
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_session_id=str(uuid4()),
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)
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response = await agent.message_response()
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if "4" not in response.data.get("text"):
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failed_models.append(model_name)
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response = await agent.message_response()
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if "4" not in response.data.get("text"):
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failed_models[model_name] = f"Expected '4' in response but got: {response.data.get('text')}"
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except Exception as e: # noqa: BLE001
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failed_models[model_name] = f"Exception occurred: {e!s}"
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assert not failed_models, f"The following models failed the test: {failed_models}"
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@pytest.mark.api_key_required
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@pytest.mark.no_blockbuster
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async def test_agent_component_with_all_anthropic_models(self):
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# Mock inputs
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api_key = os.getenv("ANTHROPIC_API_KEY")
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input_value = "What is 2 + 2?"
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# Iterate over all Anthropic models
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failed_models = {}
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for model_name in ANTHROPIC_MODELS:
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try:
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# Initialize the AgentComponent with mocked inputs
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tools = [CalculatorToolComponent().build_tool()]
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agent = AgentComponent(
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tools=tools,
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input_value=input_value,
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api_key=api_key,
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model_name=model_name,
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agent_llm="Anthropic",
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_session_id=str(uuid4()),
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)
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response = await agent.message_response()
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response_text = response.data.get("text", "")
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if "4" not in response_text:
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failed_models[model_name] = f"Expected '4' in response but got: {response_text}"
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except Exception as e: # noqa: BLE001
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failed_models[model_name] = f"Exception occurred: {e!s}"
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assert not failed_models, "The following models failed the test:\n" + "\n".join(
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f"{model}: {error}" for model, error in failed_models.items()
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)
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class TestAgentComponentWithClient(ComponentTestBaseWithClient):
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@pytest.fixture
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def component_class(self):
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return AgentComponent
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@pytest.fixture
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def file_names_mapping(self):
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return []
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@pytest.mark.api_key_required
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@pytest.mark.no_blockbuster
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async def test_agent_component_with_calculator(self):
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api_key = os.getenv("OPENAI_API_KEY")
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tools = [CalculatorToolComponent().build_tool()]
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input_value = "What is 2 + 2?"
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temperature = 0.1
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# Initialize the AgentComponent with mocked inputs
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agent = AgentComponent(
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tools=tools,
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input_value=input_value,
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api_key=api_key,
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model_name="gpt-4o",
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agent_llm="OpenAI",
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temperature=temperature,
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_session_id=str(uuid4()),
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)
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response = await agent.message_response()
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assert "4" in response.data.get("text")
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@pytest.mark.api_key_required
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@pytest.mark.no_blockbuster
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async def test_agent_component_with_all_openai_models(self):
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api_key = os.getenv("OPENAI_API_KEY")
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input_value = "What is 2 + 2?"
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# Iterate over all OpenAI models
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failed_models = {}
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for model_name in OPENAI_CHAT_MODEL_NAMES + OPENAI_REASONING_MODEL_NAMES:
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try:
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tools = [CalculatorToolComponent().build_tool()]
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agent = AgentComponent(
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tools=tools,
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input_value=input_value,
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api_key=api_key,
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model_name=model_name,
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agent_llm="OpenAI",
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_session_id=str(uuid4()),
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)
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response = await agent.message_response()
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if "4" not in response.data.get("text"):
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failed_models[model_name] = f"Expected '4' in response but got: {response.data.get('text')}"
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except Exception as e: # noqa: BLE001
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failed_models[model_name] = f"Exception occurred: {e!s}"
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assert not failed_models, f"The following models failed the test: {failed_models}"
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@ -1,13 +1,16 @@
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from typing import Any
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from unittest.mock import AsyncMock, MagicMock, patch
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import pytest
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from langflow.components.crewai import CrewAIAgentComponent, SequentialTaskComponent
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from langflow.components.custom_component import CustomComponent
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from langflow.components.input_output import ChatInput, ChatOutput
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from langflow.custom.custom_component.component import Component
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from langflow.custom.utils import update_component_build_config
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from langflow.schema import dotdict
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from langflow.schema.message import Message
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from langflow.services.database.session import NoopSession
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from langflow.template import Output
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from typing_extensions import override
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crewai_available = False
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try:
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@ -25,7 +28,7 @@ def test_set_invalid_output():
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chatoutput.set(input_value=chatinput.build_config)
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@pytest.mark.skipif(not crewai_available, reason="CrewAI is not installed")
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@pytest.mark.xfail(reason="CrewAI is not outdated")
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def test_set_component():
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crewai_agent = CrewAIAgentComponent()
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task = SequentialTaskComponent()
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@ -75,12 +78,11 @@ def _assert_all_outputs_have_different_required_inputs(outputs: list[Output]):
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async def test_update_component_build_config_sync():
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class TestComponent(CustomComponent):
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@override
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def update_build_config(
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self,
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build_config: dotdict,
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field_value: Any,
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field_name: str | None = None,
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field_value: Any, # noqa: ARG002
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field_name: str | None = None, # noqa: ARG002
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):
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build_config["foo"] = "bar"
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return build_config
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@ -93,12 +95,11 @@ async def test_update_component_build_config_sync():
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async def test_update_component_build_config_async():
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class TestComponent(CustomComponent):
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@override
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async def update_build_config(
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self,
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build_config: dotdict,
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field_value: Any,
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field_name: str | None = None,
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field_value: Any, # noqa: ARG002
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field_name: str | None = None, # noqa: ARG002
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):
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build_config["foo"] = "bar"
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return build_config
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@ -107,3 +108,55 @@ async def test_update_component_build_config_async():
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build_config = dotdict()
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build_config = await update_component_build_config(component, build_config, "", "")
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assert build_config["foo"] == "bar"
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@pytest.mark.usefixtures("use_noop_session")
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@pytest.mark.asyncio
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async def test_send_message_without_database(monkeypatch): # noqa: ARG001
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component = Component()
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event_manager = MagicMock()
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component._event_manager = event_manager
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message = Message(text="Hello", session_id="session", flow_id=None, sender="User", sender_name="Test")
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with (
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patch.object(NoopSession, "add", new_callable=AsyncMock) as mock_add,
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patch.object(NoopSession, "commit", new_callable=AsyncMock) as mock_commit,
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):
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result = await component.send_message(message)
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assert isinstance(result, Message)
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assert result.text == "Hello"
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assert result.sender == "User"
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assert result.sender_name == "Test"
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# Optionally, check that add/commit were called (if you want to enforce this)
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assert mock_add.called
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assert mock_commit.called
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assert event_manager.on_message.called
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@pytest.mark.usefixtures("use_noop_session")
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@pytest.mark.asyncio
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async def test_agent_component_send_message_events(monkeypatch): # noqa: ARG001
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from langflow.components.agents.agent import AgentComponent
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event_manager = MagicMock()
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agent = AgentComponent(
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agent_llm="OpenAI",
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input_value="Hello",
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system_prompt="You are a helpful assistant.",
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tools=[],
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_session_id="test-session",
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)
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agent._event_manager = event_manager
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message = Message(text="Hello", session_id="test-session", flow_id=None, sender="User", sender_name="Test")
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with (
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patch.object(NoopSession, "add", new_callable=AsyncMock) as mock_add,
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patch.object(NoopSession, "commit", new_callable=AsyncMock) as mock_commit,
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):
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result = await agent.send_message(message)
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assert isinstance(result, Message)
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assert result.text == "Hello"
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assert result.sender == "User"
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assert result.sender_name == "Test"
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# Optionally, check that add/commit were called (if you want to enforce this)
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assert mock_add.called
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assert mock_commit.called
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assert event_manager.on_message.called
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