Hotfix 0.4.2 (#8)

v0.4.2
- FIX: Fixed serialization of extended fields (e.g., DevTools) in HarLog dump. Now all additional fields are correctly preserved when calling model_dump().

* fix(model): serialize entries with the actual type

* chore: v0.4.2

Hotfix 0.4.1 (#5)

v0.4.1
FIX: Removed the mistakenly added rich dependency from the requirements.

* chore: rm rich as dep

* chore: bump to 0.4.1 + changelog

Release v0.4.0 (#4)

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.

* feat(transform): rename flatten to stringify

* feat(transform): add new flatten fn

* feat(transform/flatten): improve array handler

* fix(__init__): add flatten

* feat: use orjson to perform better

* feat: transforms dict in-place, change Transformer protocol, rm stringify

* chore: clean lint

* feat(transforms): make picklable

* chore(benchmark): add cpu_heavy bench

* feat(pipeline): process strategies + config

* chore(benchmarks): useful bench

* feat(pipeline): dict as input, new process protocol

* chore: ignore bench csv results

* feat: reorganize imports

* docs: upd readme

* docs: upd api ref + 0.4.0 changelog

* ref: fmt

* docs: upd changelog v0.4.0

* docs: translate comments

fix(models/har_1_2): request postData is optional