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 2025-07-15 13:52:23 -03:00 committed by GitHub
commit f1e95940a5
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9 changed files with 294 additions and 47 deletions

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@ -194,6 +194,7 @@ The following table lists the environment variables supported by Langflow.
| <Link id="LANGFLOW_COMPONENTS_PATH"/><span class="env-prefix">LANGFLOW_</span>COMPONENTS_PATH | String | `langflow/components` | Path to the directory containing custom components.<br/>See [`--components-path` option](./configuration-cli.mdx#run-components-path). |
| <Link id="LANGFLOW_CONFIG_DIR"/><span class="env-prefix">LANGFLOW_</span>CONFIG_DIR | String | See description | Set the Langflow configuration directory where files, logs, and the Langflow database are stored. Defaults: **Linux/WSL**: `~/.cache/langflow/`<br/>**macOS**: `/Users/<username>/Library/Caches/langflow/`<br/>**Windows**: `%LOCALAPPDATA%\langflow\langflow\Cache`|
| <Link id="LANGFLOW_DATABASE_URL"/><span class="env-prefix">LANGFLOW_</span>DATABASE_URL | String | Not set | Set the database URL for Langflow. If not provided, Langflow uses a SQLite database. |
| <Link id="LANGFLOW_USE_NOOP_DATABASE"/><span class="env-prefix">LANGFLOW_</span>USE_NOOP_DATABASE | Boolean | `false` | Use a no-op database, which avoids database connections and operations. Useful for running flows without a database. |
| <Link id="LANGFLOW_DATABASE_CONNECTION_RETRY"/><span class="env-prefix">LANGFLOW_</span>DATABASE_CONNECTION_RETRY | Boolean | `false` | If True, Langflow tries to connect to the database again if it fails. |
| <Link id="LANGFLOW_DB_POOL_SIZE"/><span class="env-prefix">LANGFLOW_</span>DB_POOL_SIZE | Integer | `10` | **DEPRECATED:** Use <span class="env-prefix">LANGFLOW_</span>DB_CONNECTION_SETTINGS instead. The number of connections to keep open in the connection pool. |
| <Link id="LANGFLOW_DB_MAX_OVERFLOW"/><span class="env-prefix">LANGFLOW_</span>DB_MAX_OVERFLOW | Integer | `20` | **DEPRECATED:** Use <span class="env-prefix">LANGFLOW_</span>DB_CONNECTION_SETTINGS instead. The number of connections to allow that can be opened beyond the pool size. |

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@ -682,7 +682,9 @@ async def custom_component_update(
):
"""Update an existing custom component with new code and configuration.
Processes the provided code and template updates, applies parameter changes (including those loaded from the database), updates the component's build configuration, and validates outputs. Returns the updated component node as a JSON-serializable dictionary.
Processes the provided code and template updates, applies parameter changes (including those loaded from the
database), updates the component's build configuration, and validates outputs. Returns the updated component node as
a JSON-serializable dictionary.
Raises:
HTTPException: If an error occurs during component building or updating.

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@ -27,6 +27,7 @@ from langflow.initial_setup.constants import STARTER_FOLDER_NAME
from langflow.services.base import Service
from langflow.services.database import models
from langflow.services.database.models.user.crud import get_user_by_username
from langflow.services.database.session import NoopSession
from langflow.services.database.utils import Result, TableResults
from langflow.services.deps import get_settings_service
from langflow.services.utils import teardown_superuser
@ -182,14 +183,17 @@ class DatabaseService(Service):
@asynccontextmanager
async def with_session(self):
async with AsyncSession(self.engine, expire_on_commit=False) as session:
# Start of Selection
try:
yield session
except exc.SQLAlchemyError as db_exc:
logger.error(f"Database error during session scope: {db_exc}")
await session.rollback()
raise
if self.settings_service.settings.use_noop_database:
yield NoopSession()
else:
async with AsyncSession(self.engine, expire_on_commit=False) as session:
# Start of Selection
try:
yield session
except exc.SQLAlchemyError as db_exc:
logger.error(f"Database error during session scope: {db_exc}")
await session.rollback()
raise
async def assign_orphaned_flows_to_superuser(self) -> None:
"""Assign orphaned flows to the default superuser when auto login is enabled."""

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@ -0,0 +1,62 @@
class NoopSession:
class NoopBind:
class NoopConnect:
async def __aenter__(self):
return self
async def __aexit__(self, exc_type, exc, tb):
pass
async def run_sync(self, fn, *args, **kwargs): # noqa: ARG002
return None
def connect(self):
return self.NoopConnect()
bind = NoopBind()
async def add(self, *args, **kwargs):
pass
async def commit(self):
pass
async def rollback(self):
pass
async def execute(self, *args, **kwargs): # noqa: ARG002
return None
async def query(self, *args, **kwargs): # noqa: ARG002
return []
async def close(self):
pass
async def refresh(self, *args, **kwargs):
pass
async def delete(self, *args, **kwargs):
pass
async def __aenter__(self):
return self
async def __aexit__(self, exc_type, exc, tb):
pass
async def get(self, *args, **kwargs): # noqa: ARG002
return None
async def exec(self, *args, **kwargs): # noqa: ARG002
class _NoopResult:
def first(self):
return None
def all(self):
return []
def one_or_none(self):
return None
return _NoopResult()

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@ -126,6 +126,10 @@ class Settings(BaseSettings):
- echo: Enable SQL query logging (development only)
"""
use_noop_database: bool = False
"""If True, disables all database operations and uses a no-op session.
Controlled by LANGFLOW_USE_NOOP_DATABASE env variable."""
# cache configuration
cache_type: Literal["async", "redis", "memory", "disk"] = "async"
"""The cache type can be 'async' or 'redis'."""
@ -268,6 +272,13 @@ class Settings(BaseSettings):
update_starter_projects: bool = True
"""If set to True, Langflow will update starter projects."""
@field_validator("use_noop_database", mode="before")
@classmethod
def set_use_noop_database(cls, value):
if value:
logger.info("Running with NOOP database session. All DB operations are disabled.")
return value
@field_validator("event_delivery", mode="before")
@classmethod
def set_event_delivery(cls, value, info):

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@ -29,7 +29,8 @@ async def get_or_create_super_user(session: AsyncSession, username, password, is
from langflow.services.database.models.user.model import User
stmt = select(User).where(User.username == username)
user = (await session.exec(stmt)).first()
result = await session.exec(stmt)
user = result.first()
if user and user.is_superuser:
return None # Superuser already exists
@ -114,7 +115,8 @@ async def teardown_superuser(settings_service, session: AsyncSession) -> None:
from langflow.services.database.models.user.model import User
stmt = select(User).where(User.username == username)
user = (await session.exec(stmt)).first()
result = await session.exec(stmt)
user = result.first()
# Check if super was ever logged in, if not delete it
# if it has logged in, it means the user is using it to login
if user and user.is_superuser is True and not user.last_login_at:

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@ -76,6 +76,10 @@ def blockbuster(request):
.can_block_in("rich/traceback.py", "_render_stack")
.can_block_in("langchain_core/_api/internal.py", "is_caller_internal")
.can_block_in("langchain_core/runnables/utils.py", "get_function_nonlocals")
.can_block_in("alembic/versions", "_load_revisions")
.can_block_in("dotenv/main.py", "find_dotenv")
.can_block_in("alembic/script/base.py", "_load_revisions")
.can_block_in("alembic/env.py", "_do_run_migrations")
)
for func in ["os.stat", "os.path.abspath", "os.scandir", "os.listdir"]:
@ -366,6 +370,16 @@ def deactivate_tracing(monkeypatch):
monkeypatch.undo()
@pytest.fixture
def use_noop_session(monkeypatch):
monkeypatch.setenv("LANGFLOW_USE_NOOP_DATABASE", "1")
# Optionally patch the Settings object if needed
# from langflow.services.settings.base import Settings
# monkeypatch.setattr(Settings, "use_noop_database", True)
yield
monkeypatch.undo()
@pytest.fixture(name="client")
async def client_fixture(
session: Session, # noqa: ARG001

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@ -1,5 +1,6 @@
import os
from typing import Any
from unittest.mock import AsyncMock, patch
from uuid import uuid4
import pytest
@ -14,6 +15,7 @@ from langflow.base.models.openai_constants import (
from langflow.components.agents.agent import AgentComponent
from langflow.components.tools.calculator import CalculatorToolComponent
from langflow.custom import Component
from langflow.services.database.session import NoopSession
from tests.base import ComponentTestBaseWithClient, ComponentTestBaseWithoutClient
from tests.unit.mock_language_model import MockLanguageModel
@ -21,7 +23,7 @@ from tests.unit.mock_language_model import MockLanguageModel
# Load environment variables from .env file
class TestAgentComponent(ComponentTestBaseWithoutClient):
class TestAgentComponentWithoutClient(ComponentTestBaseWithoutClient):
@pytest.fixture
def component_class(self):
return AgentComponent
@ -99,16 +101,6 @@ class TestAgentComponent(ComponentTestBaseWithoutClient):
# Verify model_name field is cleared for Custom
assert "model_name" not in updated_config
class TestAgentComponentWithClient(ComponentTestBaseWithClient):
@pytest.fixture
def component_class(self):
return AgentComponent
@pytest.fixture
def file_names_mapping(self):
return []
@pytest.mark.api_key_required
@pytest.mark.no_blockbuster
async def test_agent_component_with_calculator(self):
@ -124,13 +116,19 @@ class TestAgentComponentWithClient(ComponentTestBaseWithClient):
tools=tools,
input_value=input_value,
api_key=api_key,
model_name="gpt-4o",
agent_llm="OpenAI",
model_name="gpt-4.1-nano",
llm_type="OpenAI",
temperature=temperature,
_session_id=str(uuid4()),
)
response = await agent.message_response()
with (
patch.object(NoopSession, "add", new_callable=AsyncMock) as mock_add,
patch.object(NoopSession, "commit", new_callable=AsyncMock) as mock_commit,
):
response = await agent.message_response()
assert mock_add.called
assert mock_commit.called
assert "4" in response.data.get("text")
@pytest.mark.api_key_required
@ -141,22 +139,122 @@ class TestAgentComponentWithClient(ComponentTestBaseWithClient):
input_value = "What is 2 + 2?"
# Iterate over all OpenAI models
failed_models = []
failed_models = {}
for model_name in OPENAI_CHAT_MODEL_NAMES + OPENAI_REASONING_MODEL_NAMES:
# Initialize the AgentComponent with mocked inputs
tools = [CalculatorToolComponent().build_tool()] # Use the Calculator component as a tool
agent = AgentComponent(
tools=tools,
input_value=input_value,
api_key=api_key,
model_name=model_name,
agent_llm="OpenAI",
_session_id=str(uuid4()),
)
try:
# Initialize the AgentComponent with mocked inputs
tools = [CalculatorToolComponent().build_tool()] # Use the Calculator component as a tool
agent = AgentComponent(
tools=tools,
input_value=input_value,
api_key=api_key,
model_name=model_name,
agent_llm=None,
llm_type="OpenAI",
temperature=0.1,
_session_id=str(uuid4()),
)
response = await agent.message_response()
if "4" not in response.data.get("text"):
failed_models.append(model_name)
response = await agent.message_response()
if "4" not in response.data.get("text"):
failed_models[model_name] = f"Expected '4' in response but got: {response.data.get('text')}"
except Exception as e: # noqa: BLE001
failed_models[model_name] = f"Exception occurred: {e!s}"
assert not failed_models, f"The following models failed the test: {failed_models}"
@pytest.mark.api_key_required
@pytest.mark.no_blockbuster
async def test_agent_component_with_all_anthropic_models(self):
# Mock inputs
api_key = os.getenv("ANTHROPIC_API_KEY")
input_value = "What is 2 + 2?"
# Iterate over all Anthropic models
failed_models = {}
for model_name in ANTHROPIC_MODELS:
try:
# Initialize the AgentComponent with mocked inputs
tools = [CalculatorToolComponent().build_tool()]
agent = AgentComponent(
tools=tools,
input_value=input_value,
api_key=api_key,
model_name=model_name,
agent_llm="Anthropic",
_session_id=str(uuid4()),
)
response = await agent.message_response()
response_text = response.data.get("text", "")
if "4" not in response_text:
failed_models[model_name] = f"Expected '4' in response but got: {response_text}"
except Exception as e: # noqa: BLE001
failed_models[model_name] = f"Exception occurred: {e!s}"
assert not failed_models, "The following models failed the test:\n" + "\n".join(
f"{model}: {error}" for model, error in failed_models.items()
)
class TestAgentComponentWithClient(ComponentTestBaseWithClient):
@pytest.fixture
def component_class(self):
return AgentComponent
@pytest.fixture
def file_names_mapping(self):
return []
@pytest.mark.api_key_required
@pytest.mark.no_blockbuster
async def test_agent_component_with_calculator(self):
api_key = os.getenv("OPENAI_API_KEY")
tools = [CalculatorToolComponent().build_tool()]
input_value = "What is 2 + 2?"
temperature = 0.1
# Initialize the AgentComponent with mocked inputs
agent = AgentComponent(
tools=tools,
input_value=input_value,
api_key=api_key,
model_name="gpt-4o",
agent_llm="OpenAI",
temperature=temperature,
_session_id=str(uuid4()),
)
response = await agent.message_response()
assert "4" in response.data.get("text")
@pytest.mark.api_key_required
@pytest.mark.no_blockbuster
async def test_agent_component_with_all_openai_models(self):
api_key = os.getenv("OPENAI_API_KEY")
input_value = "What is 2 + 2?"
# Iterate over all OpenAI models
failed_models = {}
for model_name in OPENAI_CHAT_MODEL_NAMES + OPENAI_REASONING_MODEL_NAMES:
try:
tools = [CalculatorToolComponent().build_tool()]
agent = AgentComponent(
tools=tools,
input_value=input_value,
api_key=api_key,
model_name=model_name,
agent_llm="OpenAI",
_session_id=str(uuid4()),
)
response = await agent.message_response()
if "4" not in response.data.get("text"):
failed_models[model_name] = f"Expected '4' in response but got: {response.data.get('text')}"
except Exception as e: # noqa: BLE001
failed_models[model_name] = f"Exception occurred: {e!s}"
assert not failed_models, f"The following models failed the test: {failed_models}"

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@ -1,13 +1,16 @@
from typing import Any
from unittest.mock import AsyncMock, MagicMock, patch
import pytest
from langflow.components.crewai import CrewAIAgentComponent, SequentialTaskComponent
from langflow.components.custom_component import CustomComponent
from langflow.components.input_output import ChatInput, ChatOutput
from langflow.custom.custom_component.component import Component
from langflow.custom.utils import update_component_build_config
from langflow.schema import dotdict
from langflow.schema.message import Message
from langflow.services.database.session import NoopSession
from langflow.template import Output
from typing_extensions import override
crewai_available = False
try:
@ -25,7 +28,7 @@ def test_set_invalid_output():
chatoutput.set(input_value=chatinput.build_config)
@pytest.mark.skipif(not crewai_available, reason="CrewAI is not installed")
@pytest.mark.xfail(reason="CrewAI is not outdated")
def test_set_component():
crewai_agent = CrewAIAgentComponent()
task = SequentialTaskComponent()
@ -75,12 +78,11 @@ def _assert_all_outputs_have_different_required_inputs(outputs: list[Output]):
async def test_update_component_build_config_sync():
class TestComponent(CustomComponent):
@override
def update_build_config(
self,
build_config: dotdict,
field_value: Any,
field_name: str | None = None,
field_value: Any, # noqa: ARG002
field_name: str | None = None, # noqa: ARG002
):
build_config["foo"] = "bar"
return build_config
@ -93,12 +95,11 @@ async def test_update_component_build_config_sync():
async def test_update_component_build_config_async():
class TestComponent(CustomComponent):
@override
async def update_build_config(
self,
build_config: dotdict,
field_value: Any,
field_name: str | None = None,
field_value: Any, # noqa: ARG002
field_name: str | None = None, # noqa: ARG002
):
build_config["foo"] = "bar"
return build_config
@ -107,3 +108,55 @@ async def test_update_component_build_config_async():
build_config = dotdict()
build_config = await update_component_build_config(component, build_config, "", "")
assert build_config["foo"] == "bar"
@pytest.mark.usefixtures("use_noop_session")
@pytest.mark.asyncio
async def test_send_message_without_database(monkeypatch): # noqa: ARG001
component = Component()
event_manager = MagicMock()
component._event_manager = event_manager
message = Message(text="Hello", session_id="session", flow_id=None, sender="User", sender_name="Test")
with (
patch.object(NoopSession, "add", new_callable=AsyncMock) as mock_add,
patch.object(NoopSession, "commit", new_callable=AsyncMock) as mock_commit,
):
result = await component.send_message(message)
assert isinstance(result, Message)
assert result.text == "Hello"
assert result.sender == "User"
assert result.sender_name == "Test"
# Optionally, check that add/commit were called (if you want to enforce this)
assert mock_add.called
assert mock_commit.called
assert event_manager.on_message.called
@pytest.mark.usefixtures("use_noop_session")
@pytest.mark.asyncio
async def test_agent_component_send_message_events(monkeypatch): # noqa: ARG001
from langflow.components.agents.agent import AgentComponent
event_manager = MagicMock()
agent = AgentComponent(
agent_llm="OpenAI",
input_value="Hello",
system_prompt="You are a helpful assistant.",
tools=[],
_session_id="test-session",
)
agent._event_manager = event_manager
message = Message(text="Hello", session_id="test-session", flow_id=None, sender="User", sender_name="Test")
with (
patch.object(NoopSession, "add", new_callable=AsyncMock) as mock_add,
patch.object(NoopSession, "commit", new_callable=AsyncMock) as mock_commit,
):
result = await agent.send_message(message)
assert isinstance(result, Message)
assert result.text == "Hello"
assert result.sender == "User"
assert result.sender_name == "Test"
# Optionally, check that add/commit were called (if you want to enforce this)
assert mock_add.called
assert mock_commit.called
assert event_manager.on_message.called