scitex-resource 0.1.1

System resource info, processor usage logging, RAM limit — standalone module from the SciTeX ecosystem

scitex-resource

System resource info, processor usage logging, and RAM limiting helpers, extracted from the SciTeX ecosystem as a standalone package.

Install

pip install scitex-resource

API

import scitex_resource as r

# Snapshot of CPU / RAM / disk / GPU / monitor info
specs = r.get_specs()

# CPU/RAM samples (one-shot)
usage = r.get_processor_usages()

# Continuous logging (CSV)
r.log_processor_usages("/tmp/usage.csv", limit_min=30, interval_s=1)

# Cap process RAM
r.limit_ram(0.5)

Status

Standalone fork of scitex.resource. Deps: pandas, psutil, PyYAML, matplotlib.

Decoupling notes:

• scitex.str.readable_bytes / scitex.gen.fmt_size / scitex.str.printc → vendored as 3 small helpers in _compat.py.
• scitex.io._load.load / scitex.io._save.save → use pandas.read_csv / to_csv directly for the CSV log files; defer to scitex.io only if a non-CSV path is requested (raises ImportError without scitex installed).
• scitex.sh.sh → prefer scitex_sh if installed, fall back to plain subprocess.run (list-only).
• scitex.session.start/close __main__ block → simplified to plain main().

The umbrella package's scitex.resource import path is preserved via a sys.modules-alias bridge. 65/65 tests pass.

License

AGPL-3.0-only (see LICENSE).