feat: performance benchmarking and validation framework #9
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Add comprehensive performance measurement and validation: - Automated validation workflow task (validate_geozarr.py) - Performance benchmarking tools (benchmark_comparison.py, benchmark_tile_performance.py) - Production metrics from 9 operational workflows (8.6min avg, 75% success) - Ecosystem compatibility validation (zarr-python, xarray, stac-geoparquet) - User guide for adding new collections (docs/ADDING_COLLECTIONS.md) - Performance report with operational metrics (docs/PERFORMANCE_REPORT.md) Production validation shows pipeline ready for deployment with validated performance and ecosystem compatibility.
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Introduces automated tools to measure tile generation latency and validate GeoZarr data quality.
Changes
benchmark_tile_performance.pymeasures actual user-facing tile latencyvalidate_geozarr.pychecks metadata, chunks, CRS, compression, pyramidsbenchmark_comparison.pycompares multiple datasets with statistical testsUsage
Testing
Impact
Enables data-driven optimization decisions and regression detection before deployment.