feat: add celery & redis for background data processing

server/queue/tasks.py

@@ -0,0 +1,19 @@
+import pandas as pd
+
+from server.queue.celery_app import celery
+from server.analysis.enrichment import DatasetEnrichment
+
+@celery.task(bind=True, max_retries=3)
+def process_dataset(self, dataset_id: int, posts: list, topics: dict):
+    from server.db.database import PostgresConnector
+    from server.core.datasets import DatasetManager
+
+    db = PostgresConnector()
+    dataset_manager = DatasetManager(db)
+
+    df = pd.DataFrame(posts)
+
+    processor = DatasetEnrichment(df, topics)
+    enriched_df = processor.enrich()
+
+    dataset_manager.save_dataset_content(dataset_id, enriched_df)