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Runtime error
| import logging | |
| import time | |
| logger = logging.getLogger(__name__) | |
| def generate_scheduled_report(user_id: str, email: str, dataset_id: str): | |
| """ | |
| Background task to autonomously analyze a dataset and email a report. | |
| This simulates a heavy ML task running outside the web request cycle. | |
| """ | |
| try: | |
| logger.info(f"🚀 Starting background reporting task for {email}") | |
| # 1. Fetch user data from DB or S3 (Simulated) | |
| time.sleep(2) | |
| logger.info(f"📂 Fetched dataset {dataset_id} for user {user_id}") | |
| # 2. Run Data Janitor (Simulated heavy ETL) | |
| time.sleep(3) | |
| logger.info("🧹 Auto-ETL completed.") | |
| # 3. Run LLM Analyst | |
| time.sleep(4) | |
| logger.info("🧠 LLM Insights generated.") | |
| # 4. Generate PDF & Email (Simulated) | |
| time.sleep(2) | |
| logger.info(f"📧 Emailed final AI report to {email}") | |
| return {"status": "success", "user": user_id, "email": email} | |
| except Exception as e: | |
| logger.error(f"Task failed for user {user_id}: {e}") | |
| return {"status": "failed", "error": str(e)} | |