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feat(py): Add multipart feedback ingestion #111

feat(py): Add multipart feedback ingestion

feat(py): Add multipart feedback ingestion #111

Triggered via pull request October 25, 2024 22:08
Status Success
Total duration 19m 12s
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The following actions use a deprecated Node.js version and will be forced to run on node20: actions/cache@v3. For more info: https://github.blog/changelog/2024-03-07-github-actions-all-actions-will-run-on-node20-instead-of-node16-by-default/
Benchmark results: python/langsmith/client.py#L1
......................................... create_5_000_run_trees: Mean +- std dev: 580 ms +- 47 ms ......................................... create_10_000_run_trees: Mean +- std dev: 1.15 sec +- 0.06 sec ......................................... create_20_000_run_trees: Mean +- std dev: 1.14 sec +- 0.06 sec ......................................... dumps_class_nested_py_branch_and_leaf_200x400: Mean +- std dev: 761 us +- 10 us ......................................... dumps_class_nested_py_leaf_50x100: Mean +- std dev: 27.5 ms +- 0.3 ms ......................................... dumps_class_nested_py_leaf_100x200: Mean +- std dev: 112 ms +- 3 ms ......................................... dumps_dataclass_nested_50x100: Mean +- std dev: 27.8 ms +- 0.5 ms ......................................... WARNING: the benchmark result may be unstable * the standard deviation (17.5 ms) is 27% of the mean (64.3 ms) Try to rerun the benchmark with more runs, values and/or loops. Run 'python -m pyperf system tune' command to reduce the system jitter. Use pyperf stats, pyperf dump and pyperf hist to analyze results. Use --quiet option to hide these warnings. dumps_pydantic_nested_50x100: Mean +- std dev: 64.3 ms +- 17.5 ms ......................................... WARNING: the benchmark result may be unstable * the standard deviation (34.1 ms) is 15% of the mean (221 ms) Try to rerun the benchmark with more runs, values and/or loops. Run 'python -m pyperf system tune' command to reduce the system jitter. Use pyperf stats, pyperf dump and pyperf hist to analyze results. Use --quiet option to hide these warnings. dumps_pydanticv1_nested_50x100: Mean +- std dev: 221 ms +- 34 ms
Comparison against main: python/langsmith/client.py#L1
+-----------------------------------+---------+-----------------------+ | Benchmark | main | changes | +===================================+=========+=======================+ | dumps_class_nested_py_leaf_50x100 | 27.7 ms | 27.5 ms: 1.01x faster | +-----------------------------------+---------+-----------------------+ | dumps_dataclass_nested_50x100 | 27.6 ms | 27.8 ms: 1.01x slower | +-----------------------------------+---------+-----------------------+ | dumps_pydantic_nested_50x100 | 60.2 ms | 64.3 ms: 1.07x slower | +-----------------------------------+---------+-----------------------+ | Geometric mean | (ref) | 1.01x slower | +-----------------------------------+---------+-----------------------+ Benchmark hidden because not significant (6): dumps_class_nested_py_leaf_100x200, create_20_000_run_trees, dumps_class_nested_py_branch_and_leaf_200x400, create_10_000_run_trees, dumps_pydanticv1_nested_50x100, create_5_000_run_trees