Commit 6ef9cc7
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fix(memory): streaming on-disk APIs + worker recycling for backtest pipelines
The previous v8.7.1 bounded in-flight tasks but two underlying causes
of OOM remained for users with thousands of large backtests:
1. `recalculate_backtests(List[Backtest])` requires the entire batch
to be resident in the parent process before the call. With
thousands of backtests holding portfolio snapshots, trades and
timeseries, that alone is tens of GB.
2. ProcessPoolExecutor reuses worker processes across tasks. Heavy
tasks (pandas/polars/numpy intermediates) leave behind cached
buffers the worker's allocator never returns to the OS, so RSS
grows over time even with bounded in-flight tasks.
This release adds two new public functions:
- `recalculate_backtests_in_directory(src_dir, dst_dir=None, ...)`:
streams from disk. The Backtest never crosses the process boundary —
workers load, recalc, save back, return only the destination path
and a small index row. Parent memory stays flat regardless of batch
size.
- `iter_backtests_from_directory(...)`: generator yielding one
Backtest at a time so callers can process and discard sequentially
without materialising a List[Backtest].
Also adds worker recycling via `max_tasks_per_child=16` to:
- `recalculate_backtests` (with cross-version fallback)
- `load_backtests_from_directory`
- `migrate_backtests`
On Python 3.11+ this is the native ProcessPoolExecutor parameter; on
3.10 it is emulated by closing and re-opening the executor every
N completions.
Bump version to v8.7.2.1 parent 377a740 commit 6ef9cc7
8 files changed
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- investing_algorithm_framework
- domain
- backtesting
- services
- metrics
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