Dylan De Faoite
dc330b87b9
Calling the original `process_dataset` function led to issues with JSON serialisation.
57 lines
2.1 KiB
Python
57 lines
2.1 KiB
Python
import pandas as pd
|
|
import json
|
|
|
|
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
|
|
from server.connectors.registry import get_available_connectors
|
|
|
|
@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}")
|
|
|
|
@celery.task(bind=True, max_retries=3)
|
|
def fetch_and_process_dataset(self,
|
|
dataset_id: int,
|
|
per_source: dict[str, int],
|
|
search: str,
|
|
category: str,
|
|
topics: dict):
|
|
connectors = get_available_connectors()
|
|
db = PostgresConnector()
|
|
dataset_manager = DatasetManager(db)
|
|
posts = []
|
|
|
|
try:
|
|
for source_name, source_limit in per_source.items():
|
|
connector = connectors[source_name]()
|
|
raw_posts = connector.get_new_posts_by_search(
|
|
search=search,
|
|
category=category,
|
|
post_limit=source_limit,
|
|
comment_limit=source_limit
|
|
)
|
|
posts.extend(post.to_dict() for post in raw_posts)
|
|
|
|
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}") |