Dylan De Faoite
01d6bd0164
Ideally category and search are fully optional, however some sites break if one or the other is not provided. Unfortuntely `boards.ie` has a different page type for searches and I'm not bothered to implement a scraper from scratch. In addition, removed comment limit options.
61 lines
2.2 KiB
Python
61 lines
2.2 KiB
Python
import pandas as pd
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import logging
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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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from server.db.database import PostgresConnector
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from server.core.datasets import DatasetManager
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from server.connectors.registry import get_available_connectors
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logger = logging.getLogger(__name__)
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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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db = PostgresConnector()
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dataset_manager = DatasetManager(db)
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try:
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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}")
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@celery.task(bind=True, max_retries=3)
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def fetch_and_process_dataset(self,
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dataset_id: int,
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source_info: list[dict],
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topics: dict):
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connectors = get_available_connectors()
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db = PostgresConnector()
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dataset_manager = DatasetManager(db)
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posts = []
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try:
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for metadata in source_info:
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name = metadata["name"]
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search = metadata.get("search")
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category = metadata.get("category")
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limit = metadata.get("limit", 100)
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connector = connectors[name]()
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raw_posts = connector.get_new_posts_by_search(
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search=search,
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category=category,
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post_limit=limit
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)
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posts.extend(post.to_dict() for post in raw_posts)
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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}") |