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Enhance generate_fallback_data method in WorkerService

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Updated docstring to include argument and return type.
Added handling for None value in workers_count, defaulting to 1 worker.
Modified condition to use elif for clearer logic in worker count checks.
This commit is contained in:
DJObleezy 2025-04-22 14:06:11 -07:00
parent 231a56b18a
commit 2142a7d2af
1 changed files with 10 additions and 6 deletions
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16
worker_service.py
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@ -314,10 +314,10 @@ class WorkerService:
"""
Generate fallback worker data from cached metrics when real data can't be fetched.
Try to preserve real worker names if available.
Args:
cached_metrics (dict): Cached metrics from the dashboard
Returns:
dict: Generated worker data
"""
@ -325,12 +325,16 @@ class WorkerService:
if not cached_metrics:
logging.warning("No cached metrics available for worker fallback data")
return self.generate_default_workers_data()
# Check if we have workers_hashing information
workers_count = cached_metrics.get("workers_hashing", 0)
workers_count = cached_metrics.get("workers_hashing")
# Handle None value for workers_count
if workers_count is None:
logging.warning("No workers_hashing value in cached metrics, defaulting to 1 worker")
workers_count = 1
# Force at least 1 worker if the count is 0
if workers_count <= 0:
elif workers_count <= 0:
logging.warning("No workers reported in metrics, forcing 1 worker")
workers_count = 1