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Marker package that enables lazy install features across the eXonware suite.

Project description

xwlazy ⚡️

Missing import? Install it on first use. One line to enable; standard imports, no try/except. Per-package isolation—xwsystem can be lazy while xwnode stays normal. 🚀

Status Python License


Install 📦

pip install exonware-xwlazy
# or
pip install xwlazy

Works in both local/system Python and virtual environments (venv, virtualenv, conda, uv, etc.):

  • On a system interpreter, xwlazy respects PEP 668 and will refuse to install into externally-managed environments.
  • Inside a venv, it simply uses the active environment’s pip — recommended for real projects.

Quick start 🚀

1. Enable for your package (one line in __init__.py):

from xwlazy.lazy import config_package_lazy_install_enabled

config_package_lazy_install_enabled("your-package")  # or __package__

2. Use normal imports. First time a dependency is missing, xwlazy installs it; after that it’s a normal import. No changes elsewhere in your code.

Zero-code option: add to pyproject.toml:

[project]
keywords = ["xwlazy-enabled"]

Then pip install -e . — xwlazy picks it up from metadata.


What you get ⭐

Thing What it means
On-demand install Missing package → pip install when code first touches it. No manual install for optional features.
Per-package Each package turns lazy on or off. xwsystem can be lazy, xwnode not—no cross-talk.
Keyword opt-in "xwlazy-enabled" in pyproject → lazy on. No code change.
Two-stage load Import time: missing imports logged, no crash. Use time: install then run. So you keep normal import style.
Control Allow/deny lists, lockfile, SBOM. PEP 668 respected (no install into system Python).

DX highlights for developers ✨

  • Copy-paste setup: pip install xwlazy + one config_package_lazy_install_enabled(...) call and you’re done.
  • No import gymnastics: Keep normal import statements; xwlazy installs missing deps behind the scenes, then gets out of your way.
  • Works with how you already develop: Local/system Python or venv/conda/uv — with PEP 668 checks so you don’t accidentally mutate system installs.
  • Debuggable behavior: get_lazy_install_stats(...), lockfile/SBOM outputs, and clear logs when something is skipped or denied — so you always know why something happened.

Single implementation file: src/exonware/xwlazy.py; src/xwlazy.py re-exports. When browsing on GitHub, you may see src/_old/ — this is legacy/reference code only, safe to ignore, and not shipped or imported.


Built-in library mappings

xwlazy ships with a curated mapping file (src/exonware/xwlazy_external_libs.toml) so common ecosystems “just work” out of the box:

  • Data & ML: numpy, pandas, scipy, scikit-learn, statsmodels, xgboost, lightgbm, catboost, joblib, dask, …
  • Deep learning & AI: torch, tensorflow/tf, keras, transformers, jax, jaxlib, …
  • Visualization & geo: matplotlib, seaborn, plotly, bokeh, altair, graphviz, folium, geopandas, …
  • Web & APIs: requests, httpx, aiohttp, fastapi, uvicorn, django, flask, starlette, …
  • Formats & I/O: PyYAML, ruamel.yaml, beautifulsoup4 (bs4), pyarrow, fastavro, h5py, and more.

You can extend or override these mappings by editing that TOML file in your own project.

Modes 🎛️

Two knobs: load (when modules load) and install (when pip runs). You usually pick a preset.

Preset Load Install Use when
none normal none Default; no lazy.
lite lazy none Lazy load only; you pre-install deps.
smart lazy on first use Dev default. Install when you hit the code path.
full lazy all at start CI; install everything up front.
clean lazy on use + uninstall after Ephemeral runs.
warn lazy log only, no install See what would install; prod audit.

By environment: Dev → smart. Staging → lite. Prod → warn or smart + allow list. CI → full.

Example:

config_package_lazy_install_enabled("xwsystem", enabled=True, mode="smart")

Security and production 🛡️

  • Allow list: only these packages can be auto-installed.
    set_package_allow_list("xwsystem", ["fastavro", "protobuf", "msgpack"])
  • Deny list: block specific packages.
    set_package_deny_list("xwsystem", ["suspicious-package"])
  • Lockfile: record what got installed.
    set_package_lockfile("xwsystem", "xwsystem-lock.json")
  • SBOM: for compliance.
    generate_package_sbom("xwsystem", "xwsystem-sbom.json")

Production: use an allow list with smart, or use warn and install nothing. Don’t run smart in prod without allow list or lockfile if you care about audit.

PEP 668: xwlazy won’t install into externally-managed environments; it will tell you to use a venv.


Troubleshooting 🩺

See what’s going on:

from xwlazy.lazy import get_lazy_install_stats

stats = get_lazy_install_stats("xwsystem")  # enabled, mode, installed_packages, failed_packages

“Nothing gets installed”: Check get_lazy_install_stats("your-package")enabled and mode. If you use an allow list, the package must be in it.

First import slow: That’s the first install. Use full to pre-install everything, or lite and install deps yourself; caching is on by default.


Docs and tests 📚

Content in this README is aligned with the project REFs and docs/GUIDE_01_USAGE.md (per GUIDE_63_README).

Tests:

python tests/runner.py
# or per layer: python tests/0.core/runner.py, python tests/1.unit/runner.py

See docs/REF_51_TEST.md for test layers and coverage.




🔬 Innovation: Where does this package fit?

Tier 1 — Genuinely novel (nothing like this exists)

xwlazy — Adaptive Intelligent Package Manager

Not just lazy imports — an adaptive runtime optimizer that learns from usage patterns. Multi-strategy caching (LRU/LFU/TTL/multi-tier), discovery (file/manifest/hybrid), security (allow-list/deny-list/SBOM), and an intelligent selector that picks strategies based on metrics.

  • functools.lru_cache = one cache type; this has 6+ with auto-selection. Lock file (xwlazy.lock.toml), SBOM, async install, interactive mode

Verdict: 🟢 Nothing like this exists as a unified system. Part of the eXonware story — vertical integration across 20+ packages.


License and links 🔗

MIT — see LICENSE.

Version: 1.0.1.6

Built with ❤️ by eXonware.com - Revolutionizing Python Development Since 2025

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