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feat(py): Add multipart feedback ingestion #114

feat(py): Add multipart feedback ingestion

feat(py): Add multipart feedback ingestion #114

Triggered via pull request October 26, 2024 00:22
Status Success
Total duration 19m 11s
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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/_internal/_background_thread.py#L1
......................................... create_5_000_run_trees: Mean +- std dev: 583 ms +- 49 ms ......................................... create_10_000_run_trees: Mean +- std dev: 1.13 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: 766 us +- 18 us ......................................... dumps_class_nested_py_leaf_50x100: Mean +- std dev: 27.4 ms +- 0.4 ms ......................................... dumps_class_nested_py_leaf_100x200: Mean +- std dev: 113 ms +- 4 ms ......................................... dumps_dataclass_nested_50x100: Mean +- std dev: 27.9 ms +- 0.7 ms ......................................... WARNING: the benchmark result may be unstable * the standard deviation (17.1 ms) is 27% of the mean (63.5 ms) * the maximum (101 ms) is 59% greater than the mean (63.5 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: 63.5 ms +- 17.1 ms ......................................... WARNING: the benchmark result may be unstable * the standard deviation (33.1 ms) is 15% of the mean (220 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: 220 ms +- 33 ms
Comparison against main: python/langsmith/_internal/_background_thread.py#L1
+------------------------------------+----------+------------------------+ | Benchmark | main | changes | +====================================+==========+========================+ | dumps_class_nested_py_leaf_100x200 | 111 ms | 113 ms: 1.02x slower | +------------------------------------+----------+------------------------+ | dumps_class_nested_py_leaf_50x100 | 26.8 ms | 27.4 ms: 1.02x slower | +------------------------------------+----------+------------------------+ | dumps_dataclass_nested_50x100 | 27.1 ms | 27.9 ms: 1.03x slower | +------------------------------------+----------+------------------------+ | create_20_000_run_trees | 1.11 sec | 1.14 sec: 1.03x slower | +------------------------------------+----------+------------------------+ | create_5_000_run_trees | 565 ms | 583 ms: 1.03x slower | +------------------------------------+----------+------------------------+ | dumps_pydantic_nested_50x100 | 57.8 ms | 63.5 ms: 1.10x slower | +------------------------------------+----------+------------------------+ | Geometric mean | (ref) | 1.03x slower | +------------------------------------+----------+------------------------+ Benchmark hidden because not significant (3): dumps_class_nested_py_branch_and_leaf_200x400, create_10_000_run_trees, dumps_pydanticv1_nested_50x100