How to freeze component in langflow interface via python api?

[MoofonLi]

Hi,
I was tring to freeze my component OpenAIModel-1pAyL. But I found that this way doesn't work. The response code is:
response: 405 Method Not Allowed
And here is my code:

def freeze(component_id):
    api_url = f"http://127.0.0.1:7860/api/v1/components/{component_id}"

    # Payload to update the frozen attribute
    payload = {
        "node": {
            "frozen": True
        }
    }
    
    # Send the request to update the component
    response = requests.patch(api_url, json=payload)
    print(response)
    if response.status_code == 200:
        print("Component frozen successfully.")
    else:
        print("Failed to freeze the component.")

[dosubot[bot]]

The 405 Method Not Allowed response indicates that the PATCH method is not supported for the endpoint you are trying to use. The correct HTTP methods for the /api/v1/components/{component_id} endpoint are PATCH for updating a shared component and GET for downloading a component ^[1][2].

Here is an updated version of your code that includes the necessary headers for authentication, which might be required:

import requests

def freeze(component_id, api_key):
    api_url = f"http://127.0.0.1:7860/api/v1/components/{component_id}"

    # Payload to update the frozen attribute
    payload = {
        "node": {
            "frozen": True
        }
    }
    
    # Headers for authentication
    headers = {
        'Content-Type': 'application/json',
        'x-api-key': api_key
    }
    
    # Send the request to update the component
    response = requests.patch(api_url, json=payload, headers=headers)
    print(response)
    if response.status_code == 200:
        print("Component frozen successfully.")
    else:
        print(f"Failed to freeze the component. Status code: {response.status_code}, Response: {response.text}")

# Example usage
freeze("OpenAIModel-1pAyL", "your_api_key_here")

Make sure to replace "your_api_key_here" with your actual API key. If you still encounter issues, ensure that the API key has the necessary permissions to update the component.

To continue talking to Dosu, mention @dosu.

[dosubot[bot]]

This is a tough nut to crack, could really use your help on this, @ogabrielluiz.

To continue talking to Dosu, mention @dosu.

[MoofonLi]

@dosu
I still don't know how to solve this problem. Can you just list the all api url and let me tried it?

[dosubot[bot]]

Here is a list of all API URLs related to components that you can try out:

1. Fetch all objects:

   GET ${BASE_URL_API}all?force_refresh=true
   

2. Send data for prediction:

   POST ${BASE_URL_API}predict
   

3. Validate code:

   POST ${BASE_URL_API}validate/code
   

4. Validate prompt:

   POST ${BASE_URL_API}validate/prompt
   

5. Fetch examples:

   GET https://api.github.com/repos/langflow-ai/langflow_examples/contents/examples?ref=main
   

6. Read all flows from the database:

   GET ${BASE_URL_API}flows/
   

7. Download flows from the database:

   GET ${BASE_URL_API}flows/download/
   

8. Upload flows to the database:

   POST ${BASE_URL_API}flows/upload/
   

9. Delete a flow from the database:

   DELETE ${BASE_URL_API}flows/{flowId}
   

10. Fetch a flow from the database by ID:

    GET ${BASE_URL_API}flows/{flowId}
    

11. Fetch flow styles from the database:

    GET ${BASE_URL_API}flow_styles/
    

12. Save a new flow style to the database:

    POST ${BASE_URL_API}flow_styles/
    

13. Fetch the version of the API:

    GET ${BASE_URL_API}version
    

14. Get store components:

    GET ${BASE_URL_API}store/components/
    

15. Check if API key exists:

    GET ${BASE_URL_API}store/check/api_key
    

16. Check if store exists:

    GET ${BASE_URL_API}store/check/
    

17. Get count of components:

    GET ${BASE_URL_API}store/components/count
    

18. Get store tags:

    GET ${BASE_URL_API}store/tags
    

19. Like a component:

    POST ${BASE_URL_API}store/users/likes/{componentId}
    

20. Update message:

    POST ${BASE_URL_API}monitor/messages/{data.index}
    

21. Share a component:

    POST ${BASE_URL_API}store/components/
    

22. Update a shared component:

    PATCH ${BASE_URL_API}store/components/{component_id}
    

23. Get a list of components:

    GET ${BASE_URL_API}store/components/
    

24. Download a component by ID:

    GET ${BASE_URL_API}store/components/{component_id}
    

25. Get a list of tags:

    GET ${BASE_URL_API}store/tags
    

26. Get a list of components liked by the user:

    GET ${BASE_URL_API}store/users/likes
    

27. Like a component by ID:

    POST ${BASE_URL_API}store/users/likes/{component_id}
    

28. Auto login:

    GET ${BASE_URL_API}auto_login
    

Feel free to try these endpoints to see if any of them help with your issue ^[1][2][3].

To continue talking to Dosu, mention @dosu.

[MoofonLi]

@dosu
So there is no way that can makes me freeze components?

[dosubot[bot]]

You can freeze components using the Langflow API, but the exact endpoint or method for this feature is not clearly documented. The "Component Freeze" feature allows you to lock a component's previous output state to prevent it from re-running ^[1].

Here are the relevant API endpoints for managing components that you can try:

1. Update Custom Component

   • Endpoint: POST /custom_component/update
   • Description: Updates a custom component with the provided code request.
   • Status Code: HTTPStatus.OK ^[2].

2. Create Custom Component

   • Endpoint: POST /custom_component
   • Description: Creates a custom component.
   • Status Code: HTTPStatus.OK ^[2].

3. Reload Custom Component

   • Endpoint: POST /custom_component/reload
   • Description: Reloads a custom component from a specified path.
   • Status Code: HTTPStatus.OK ^[2].

Make sure to include the necessary headers for authentication, such as the Authorization header with a Bearer token and the Cookie header with an access token ^[3].

If you still encounter issues, it might be necessary to consult the Langflow documentation or source code for the specific endpoint or method required for freezing a component.

To continue talking to Dosu, mention @dosu.