Release v0.4.0

[pikulev]

Changelog

v0.4.0

• BREAKING: The old flatten (which stringifies nested structures) is now called stringify.
• BREAKING: The new flatten has different behavior—please update your code if you relied on the old flatten logic.
• BREAKING: Pipeline now requires a list of transformers and a PipelineConfig instance (no more id_fn/id_field in constructor).
• BREAKING: Pipeline.process now expects a list of dicts (e.g., from HarLog.model_dump()["entries"]).
• New: Introduced a new flatten transformer that fully flattens nested HAR entries into a flat dict, with customizable key separator and flexible array handling via array_handler. Designed for advanced analytics and BI.
• New: PipelineConfig class for configuring batch size, processing strategy (sequential/thread/process/async), and max_workers.
• New: Parallel and batch processing strategies for large HAR files (process, thread, async).
• New: Benchmarks and benchmarking scripts for pipeline performance (see benchmarks/).
• New: All transformers (flatten, normalize_sizes, normalize_timings, set_id) are now implemented as picklable callable classes, fully compatible with multiprocessing.
• New: set_id transformer for assigning IDs to entries using any function (e.g., by_field, uuid).
• Internal: Test suite and samples updated for new API and real-world HAR compatibility.

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Codecov Report

Attention: Patch coverage is 99.64413% with 1 line in your changes missing coverage. Please review.

Files with missing lines	Patch %	Lines
tests/conftest.py	93.75%	1 Missing ⚠️

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