You cannot select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
langchain/tests
小铭 cf5803e44c
Add ToolException that a tool can throw. (#5050)
# Add ToolException that a tool can throw
This is an optional exception that tool throws when execution error
occurs.
When this exception is thrown, the agent will not stop working,but will
handle the exception according to the handle_tool_error variable of the
tool,and the processing result will be returned to the agent as
observation,and printed in pink on the console.It can be used like this:
```python 
from langchain.schema import ToolException
from langchain import LLMMathChain, SerpAPIWrapper, OpenAI
from langchain.agents import AgentType, initialize_agent
from langchain.chat_models import ChatOpenAI
from langchain.tools import BaseTool, StructuredTool, Tool, tool
from langchain.chat_models import ChatOpenAI

llm = ChatOpenAI(temperature=0)
llm_math_chain = LLMMathChain(llm=llm, verbose=True)

class Error_tool:
    def run(self, s: str):
        raise ToolException('The current search tool is not available.')
    
def handle_tool_error(error) -> str:
    return "The following errors occurred during tool execution:"+str(error)

search_tool1 = Error_tool()
search_tool2 = SerpAPIWrapper()
tools = [
    Tool.from_function(
        func=search_tool1.run,
        name="Search_tool1",
        description="useful for when you need to answer questions about current events.You should give priority to using it.",
        handle_tool_error=handle_tool_error,
    ),
    Tool.from_function(
        func=search_tool2.run,
        name="Search_tool2",
        description="useful for when you need to answer questions about current events",
        return_direct=True,
    )
]
agent = initialize_agent(tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True,
                         handle_tool_errors=handle_tool_error)
agent.run("Who is Leo DiCaprio's girlfriend? What is her current age raised to the 0.43 power?")
```

![image](https://github.com/hwchase17/langchain/assets/32786500/51930410-b26e-4f85-a1e1-e6a6fb450ada)

## Who can review?
- @vowelparrot

---------

Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
1 year ago
..
integration_tests Harrison/prediction guard update (#5404) 1 year ago
mock_servers Add a mock server (#2443) 2 years ago
unit_tests Add ToolException that a tool can throw. (#5050) 1 year ago
README.md feat: improve pinecone tests (#2806) 2 years ago
__init__.py initial commit 2 years ago
data.py Add workflow for testing with all deps (#4410) 1 year ago

README.md

Readme tests(draft)

Integrations Tests

Prepare

This repository contains functional tests for several search engines and databases. The tests aim to verify the correct behavior of the engines and databases according to their specifications and requirements.

To run some integration tests, such as tests located in tests/integration_tests/vectorstores/, you will need to install the following software:

  • Docker
  • Python 3.8.1 or later

We have optional group test_integration in the pyproject.toml file. This group should contain dependencies for the integration tests and can be installed using the command:

poetry install --with test_integration

Any new dependencies should be added by running:

# add package and install it after adding:
poetry add tiktoken@latest --group "test_integration" && poetry install --with test_integration

Before running any tests, you should start a specific Docker container that has all the necessary dependencies installed. For instance, we use the elasticsearch.yml container for test_elasticsearch.py:

cd tests/integration_tests/vectorstores/docker-compose
docker-compose -f elasticsearch.yml up

Prepare environment variables for local testing:

  • copy tests/.env.example to tests/.env
  • set variables in tests/.env file, e.g OPENAI_API_KEY

Additionally, it's important to note that some integration tests may require certain environment variables to be set, such as OPENAI_API_KEY. Be sure to set any required environment variables before running the tests to ensure they run correctly.

Recording HTTP interactions with pytest-vcr

Some of the integration tests in this repository involve making HTTP requests to external services. To prevent these requests from being made every time the tests are run, we use pytest-vcr to record and replay HTTP interactions.

When running tests in a CI/CD pipeline, you may not want to modify the existing cassettes. You can use the --vcr-record=none command-line option to disable recording new cassettes. Here's an example:

pytest --log-cli-level=10 tests/integration_tests/vectorstores/test_pinecone.py --vcr-record=none
pytest tests/integration_tests/vectorstores/test_elasticsearch.py --vcr-record=none

Run some tests with coverage:

pytest tests/integration_tests/vectorstores/test_elasticsearch.py --cov=langchain --cov-report=html
start "" htmlcov/index.html || open htmlcov/index.html