Files
crosspost/server/queue/tasks.py
Dylan De Faoite e20d0689e8 fix(celery): adjust try-catch logic to improve error handling
Capturing the instantiation of the database and dataset manager objects inside the try-catch will cause errors if something else fails.

If an exception occurs and the dataset_manager is not initialised, the code inside the catch block will fail.
2026-03-04 21:18:59 +00:00

22 lines
830 B
Python

import pandas as pd
from server.queue.celery_app import celery
from server.analysis.enrichment import DatasetEnrichment
from server.db.database import PostgresConnector
from server.core.datasets import DatasetManager
@celery.task(bind=True, max_retries=3)
def process_dataset(self, dataset_id: int, posts: list, topics: dict):
db = PostgresConnector()
dataset_manager = DatasetManager(db)
try:
df = pd.DataFrame(posts)
processor = DatasetEnrichment(df, topics)
enriched_df = processor.enrich()
dataset_manager.save_dataset_content(dataset_id, enriched_df)
dataset_manager.set_dataset_status(dataset_id, "complete", "NLP Processing Completed Successfully")
except Exception as e:
dataset_manager.set_dataset_status(dataset_id, "error", f"An error occurred: {e}")