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from celery_worker import celery
from core.database import SessionLocal
from models.analysis_job import AnalysisJob
from tools.prediction_tools import generate_forecast
from uuid import UUID
@celery.task
def run_prediction_analysis(job_id: str):
db = SessionLocal()
job = None
final_result = ""
try:
job = db.query(AnalysisJob).filter(AnalysisJob.id == UUID(job_id)).first()
if not job or not job.result:
raise ValueError(f"Job {job_id} not found or has no initial data.")
print(f"Status - PREDICTING for job {job_id}...")
job.status = "PREDICTING"
db.commit()
current_data = job.result
ticker = current_data.get("ticker")
if not ticker:
raise ValueError("Ticker not found in initial data.")
forecast_data = generate_forecast(ticker)
if "error" in forecast_data:
raise ValueError(forecast_data["error"])
new_result = current_data.copy()
new_result['prediction_analysis'] = forecast_data
job.result = new_result
db.commit()
print(f"Prediction analysis for job {job_id} completed successfully.")
final_result = str(job.result)
except Exception as e:
print(f"Error during prediction analysis for job {job_id}: {e}")
if job:
job.status = "FAILED"
error_data = job.result if job.result else {}
error_data['error'] = f"Prediction analysis failed: {str(e)}"
job.result = error_data
db.commit()
final_result = f"Error: {e}"
finally:
db.close()
return final_result |