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