langflow-ai / langflow

⛓️ Langflow is a visual framework for building multi-agent and RAG applications. It's open-source, Python-powered, fully customizable, model and vector store agnostic.

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How to implement timed updates of data to the knowledge base in Langflow

Y-ai opened this issue · comments

commented

There is not much knowledge base data, but it needs to be updated daily. How should this be implemented

Hey @Y-ai! I'm here to help you with any bugs, questions, or contributions you might have for the Langflow repository. Let me know how I can assist you!

To implement timed updates of data to the knowledge base in Langflow, you can use Celery for scheduling periodic tasks. Here is an example of how you can achieve this:

  1. Install Celery:

    pip install celery
  2. Configure Celery:
    Create a celery_app.py file:

    from celery import Celery
    
    celery_app = Celery('langflow', broker='redis://localhost:6379/0')
    
    celery_app.conf.update(
        result_backend='redis://localhost:6379/0',
        task_serializer='json',
        accept_content=['json'],
        result_serializer='json',
        timezone='UTC',
        enable_utc=True,
    )
  3. Create a Task for Updating the Knowledge Base:
    In worker.py:

    from typing import Any, Dict, Optional, Union
    from asgiref.sync import async_to_sync
    from celery.exceptions import SoftTimeLimitExceeded
    from langflow.core.celery_app import celery_app
    
    @celery_app.task(bind=True, soft_time_limit=30, max_retries=3)
    def update_knowledge_base(self):
        try:
            # Your logic to fetch and update data
            data = fetch_data_from_source()
            cache.set("knowledge_base", data)
        except SoftTimeLimitExceeded as e:
            raise self.retry(exc=SoftTimeLimitExceeded("Task took too long"), countdown=2) from e
    
    def fetch_data_from_source():
        # Replace this with your actual data fetching logic
        return {"key": "value"}
  4. Schedule the Task to Run Periodically:
    Add the following to your Celery configuration:

    from celery.schedules import crontab
    
    celery_app.conf.beat_schedule = {
        'update-knowledge-base-daily': {
            'task': 'worker.update_knowledge_base',
            'schedule': crontab(minute=0, hour=0),  # Every day at midnight
        },
    }

This setup will ensure that the update_knowledge_base task fetches data from a source and updates the cache daily at midnight. Celery handles the scheduling and execution of this task, ensuring it runs periodically without blocking the main program [1][2].

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Hi @Y-ai,

Do you need any assistance with this case? If not, please let us know if this issue can be closed.

Thank you for your contribution! This issue will be closed. If you have any questions or encounter another problem, please open a new issue and we will be ready to assist you.