[XL] Add Python Crank Scheduling tool #2106
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…he new scheduling tool.
…generating the yml pipelines.
…added machine_groups for the base azure configuration.
LoopedBard3
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Pull Request Overview
This PR introduces a comprehensive Python-based crank scheduling tool to automate CI pipeline generation and optimize machine/scenario allocation across multiple performance testing machines.
- Adds a complete Python crank scheduler with sophisticated machine allocation algorithms and multi-YAML generation capabilities
- Updates existing CI configurations to use the new machine group system and multi-capability machine definitions
- Replaces manual YAML matrix files with JSON-based configuration and automated pipeline generation
Reviewed Changes
Copilot reviewed 23 out of 23 changed files in this pull request and generated 4 comments.
Show a summary per file
| File | Description |
|---|---|
| scripts/crank-scheduler/*.py | Core scheduler implementation with machine allocation, runtime estimation, and template generation |
| scripts/crank-scheduler/requirements.txt | Python dependencies for the scheduler |
| scripts/crank-scheduler/*.md | Documentation and configuration guides |
| build/benchmarks_ci*.json | Updated machine configurations with new capability-based structure and machine groups |
| build/benchmarks*.yml | Updated pipeline files generated by the new scheduler |
| build/benchmarks.template.liquid | Updated template comments to reflect new generation process |
…e unused requirements and code, and added some new entries to .gitignore.
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In order to make simplify the work needed when updating the scenarios we run and to minimize the chance of error, this adds a python script to be used to generate a CI schedule from a single configuration file. Most of the recently added and updated pipeline flows already used this new flow, but this update does add an option for a machine_group to ensure machines only use other machines at similar perf levels for load and db machines.
Changes include the addition of the crank-scheduler, running the configurations through the scheduler one more time with the updated benchmarks.template.liquid, updating the benchmarks.template.liquid to include the new steps to run, and added the machine_group configuration option where applicable.