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Unable to use `from selenium import webdriver` in CustomComponent.

Open guoguoguilai opened this issue 1 year ago • 6 comments

Describe the bug Unable to use from selenium import webdriver in CustomComponent at the top level of import statement. However, I found that the import statement can be placed insided the funtion.

Browser and Version

  • Browser: Chrome
  • Version: 126.0.6478.126

To Reproduce

  1. Create a CustomComponent.
  2. Import from selenium import webdriver.
  3. Try to use webdriver in the CustomComponent.

guoguoguilai avatar Jun 30 '24 14:06 guoguoguilai

Hey @guoguoguilai! 👋 I'm here to help you with any bugs, questions, or contributions you have while you wait for a human maintainer. Let's tackle this together!

There are known issues with importing external libraries in CustomComponents within Langflow, particularly if there are syntax errors or improper import statements [1]. To ensure that external libraries like Selenium are properly imported and used, you need to follow specific steps for configuring and initializing CustomComponents.

Here is an example of how to create a CustomComponent that uses Selenium's webdriver:

  1. Create the CustomComponent:

    from langflow.interface.custom.custom_component import CustomComponent
    from selenium import webdriver
    from selenium.webdriver.common.by import By
    
    class WebDriverComponent(CustomComponent):
        display_name = "Web Driver Component"
        description = "This component uses Selenium WebDriver"
    
        def build_config(self) -> dict:
            return {
                "url": {"display_name": "URL"}
            }
    
        def build(self, url: str) -> str:
            driver = webdriver.Chrome()  # Ensure ChromeDriver is installed and in PATH
            driver.get(url)
            title = driver.title
            driver.quit()
            self.repr_value = f"Title of {url}: {title}"
            return title
    
  2. Set the Environment Variable:

    export LANGFLOW_COMPONENTS_PATH='["/path/to/components"]'
    langflow run
    
  3. Run Langflow CLI: Alternatively, specify the path to your custom components using the --components-path argument:

    langflow run --components-path /path/to/components
    

If you encounter issues, you can enable detailed logging to debug the problem. Langflow uses the loguru logger to log errors and includes detailed traceback information in the HTTPException details [2][3].

Ensure that all dependencies, such as the Selenium library and ChromeDriver, are installed and properly configured in your environment.

To continue talking to Dosu, mention @dosu.

dosubot[bot] avatar Jun 30 '24 14:06 dosubot[bot]

What is/path/to/components, do I need to save this file to a certain location? If I want to use run_flow_from_json through Python code, how do I need to implement operations similar to the langflow run mentioned above

Hey @guoguoguilai! 👋 I'm here to help you with any bugs, questions, or contributions you have while you wait for a human maintainer. Let's tackle this together!嘿!👋 我在这里帮助您解决您在等待人工维护者时遇到的任何错误、问题或贡献。让我们一起解决这个问题!

There are known issues with importing external libraries in CustomComponents within Langflow, particularly if there are syntax errors or improper import statements [1]. To ensure that external libraries like Selenium are properly imported and used, you need to follow specific steps for configuring and initializing CustomComponents.在Langflow的CustomComponents中导入外部库存在已知问题,特别是如果存在语法错误或不正确的导入语句 [1] 。要确保正确导入和使用像 Selenium 这样的外部库,您需要按照特定步骤配置和初始化 CustomComponents。

Here is an example of how to create a CustomComponent that uses Selenium's webdriver:下面是如何创建使用 Selenium 的 CustomComponent 的示例 webdriver

  1. Create the CustomComponent:创建 CustomComponent:
    from langflow.interface.custom.custom_component import CustomComponent
    from selenium import webdriver
    from selenium.webdriver.common.by import By
    
    class WebDriverComponent(CustomComponent):
        display_name = "Web Driver Component"
        description = "This component uses Selenium WebDriver"
    
        def build_config(self) -> dict:
            return {
                "url": {"display_name": "URL"}
            }
    
        def build(self, url: str) -> str:
            driver = webdriver.Chrome()  # Ensure ChromeDriver is installed and in PATH
            driver.get(url)
            title = driver.title
            driver.quit()
            self.repr_value = f"Title of {url}: {title}"
            return title
    
  2. Set the Environment Variable:设置环境变量:
    export LANGFLOW_COMPONENTS_PATH='["/path/to/components"]'
    langflow run
    
  3. Run Langflow CLI: 运行 Langflow CLI: Alternatively, specify the path to your custom components using the --components-path argument:或者,使用以下 --components-path 参数指定自定义组件的路径:
    langflow run --components-path /path/to/components
    

If you encounter issues, you can enable detailed logging to debug the problem. Langflow uses the loguru logger to log errors and includes detailed traceback information in the HTTPException details [2][3].如果遇到问题,可以启用详细日志记录来调试问题。Langflow 使用 loguru 记录器来记录错误,并在 HTTPException 详细信息 [2] [3] 中包含详细的回溯信息。

Ensure that all dependencies, such as the Selenium library and ChromeDriver, are installed and properly configured in your environment.确保在您的环境中安装并正确配置了所有依赖项,例如 Selenium 库和 ChromeDriver。

To continue talking to Dosu, mention @dosu.要继续与 Dosu 交谈,请提及 .

What is/path/to/components, do I need to save this file to a certain location? If I want to use run_flow_from_json through Python code, how do I need to implement operations similar to the langflow run mentioned above?

guoguoguilai avatar Jun 30 '24 15:06 guoguoguilai

  1. The exact path you should use for /path/to/components is the directory where your custom component files are stored. For example, if your custom component file is located at /home/user/langflow_components/web_driver_component.py, you should set the environment variable as follows:

    export LANGFLOW_COMPONENTS_PATH='["/home/user/langflow_components"]'
    langflow run
    

    Alternatively, you can specify the path directly using the --components-path argument:

    langflow run --components-path /home/user/langflow_components
    
  2. To replicate the langflow run functionality using run_flow_from_json in Python code, you can use the following approach:

    from langflow.interface import run_flow_from_json
    
    # Load your flow configuration from a JSON file
    with open('path/to/your/flow.json', 'r') as file:
        flow_config = file.read()
    
    # Run the flow
    result = run_flow_from_json(
        flow=flow_config,
        input_value="your_input_value",
        tweaks=None,
        input_type="chat",
        output_type="chat",
        output_component=None,
        log_level=None,
        log_file=None,
        env_file=None,
        cache=None,
        disable_logs=True,
        fallback_to_env_vars=False
    )
    
    # Print or process the result
    print(result)
    

    Ensure that the flow.json file contains the correct configuration for your flow, including the custom components. Additionally, make sure your custom components are placed in a directory that follows the structural conventions described in the Langflow documentation, and that the LANGFLOW_COMPONENTS_PATH environment variable is set correctly to this directory [1][2][3].

To continue talking to Dosu, mention @dosu.

dosubot[bot] avatar Jun 30 '24 15:06 dosubot[bot]

  1. The exact path you should use for /path/to/components is the directory where your custom component files are stored. For example, if your custom component file is located at /home/user/langflow_components/web_driver_component.py, you should set the environment variable as follows:

    export LANGFLOW_COMPONENTS_PATH='["/home/user/langflow_components"]'
    langflow run
    

    Alternatively, you can specify the path directly using the --components-path argument:

    langflow run --components-path /home/user/langflow_components
    
  2. To replicate the langflow run functionality using run_flow_from_json in Python code, you can use the following approach:

    from langflow.interface import run_flow_from_json
    
    # Load your flow configuration from a JSON file
    with open('path/to/your/flow.json', 'r') as file:
        flow_config = file.read()
    
    # Run the flow
    result = run_flow_from_json(
        flow=flow_config,
        input_value="your_input_value",
        tweaks=None,
        input_type="chat",
        output_type="chat",
        output_component=None,
        log_level=None,
        log_file=None,
        env_file=None,
        cache=None,
        disable_logs=True,
        fallback_to_env_vars=False
    )
    
    # Print or process the result
    print(result)
    

    Ensure that the flow.json file contains the correct configuration for your flow, including the custom components. Additionally, make sure your custom components are placed in a directory that follows the structural conventions described in the Langflow documentation, and that the LANGFLOW_COMPONENTS_PATH environment variable is set correctly to this directory [1][2][3].

To continue talking to Dosu, mention @dosu.

Hi, sorry, it seems like your answer is not quite applicable to my situation. I'm not looking to have it appear in the sidebar, but rather for the import statement to work

guoguoguilai avatar Jun 30 '24 15:06 guoguoguilai

To use from selenium import webdriver at the top level in a CustomComponent within Langflow, you can simply import it at the beginning of your Python script. Here is an example:

from selenium import webdriver

# Your CustomComponent code here

To use run_flow_from_json through Python code to run your flow, you should import load_flow_from_json from the langflow.processing.load module and use it as shown below:

from langflow.processing.load import load_flow_from_json

# Assuming you have your flow JSON data
flow_json = {
    # Your flow JSON data here
}

# Run the flow
result = load_flow_from_json(flow_json)

# Process the result
print(result)

This code snippet demonstrates how to import load_flow_from_json and use it to execute a flow defined in JSON format. Additionally, you can refer to the CustomComponent class in Langflow for more advanced usage and customization options. The CustomComponent class provides various methods and properties to manage and execute flows, such as run_flow, load_flow, and list_flows.

The load_flow_from_json function can handle both file paths and JSON objects, and it builds the graph if the build parameter is set to True. This function also processes any optional tweaks and fixes memory inputs for the Langchain object [1][2][3][4].

To continue talking to Dosu, mention @dosu.

dosubot[bot] avatar Jun 30 '24 15:06 dosubot[bot]

Oh, you seem to be conducting research similar to mine. WebDriver is a library that tends to have many conflicts, even when used independently, not just with LangFlow. I recommend using a Selenium Hub booted with Docker.

YamonBot avatar Jul 02 '24 16:07 YamonBot

selenium.webdriver still not work. I found that any packages that is not a class or variable, but a .py file in langflow will fail to load

guoguoguilai avatar Jul 11 '24 14:07 guoguoguilai