Default nQueueLimitWorkerCoresMin, nQueueLimitWorkerMemoryMin and nQueueLimitJobCoresMin; update worker diagmessage errorrcode map

[mightqxc]

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[Copilot]

Pull request overview

This pull request implements two main improvements to the PanDA Harvester system:

1. Worker limit defaulting logic: When ratio-based worker limiting is enabled, the minimum cores and memory limits can now be automatically derived from nQueueLimitWorkerMin if not explicitly configured. This ensures at least 1 core per worker and 1000 MB per worker as baseline minimums.

2. Worker error pattern updates: Adds new error code mappings for HTTP response errors, site-specific hold reasons (runtime exceeded, memory exceeded, session directory creation failure), and a catch-all pattern for PeriodicRemove events. Also updates an existing pattern to be more flexible.

Changes:

• Enhanced worker limit calculation to default minimum cores and memory based on minimum worker count
• Added 5 new error code patterns for better error classification
• Modernized SQL debug logging to use f-strings

Reviewed changes

Copilot reviewed 3 out of 3 changed files in this pull request and generated 2 comments.

File	Description
pandaharvester/harvestercore/worker_errors.py	Added new error patterns (3689, 5573-5575, 8979) and updated pattern 8970 for more flexible matching
pandaharvester/harvestercore/db_proxy.py	Implemented defaulting logic for min cores/memory limits based on min worker count; refactored SQL logging to f-strings
pandaharvester/commit_timestamp.py	Updated commit timestamp to reflect deployment time

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