storage-usage 0.2.0

Scan file-system storage, record results in a database, and serve a live web UI.

storage-usage

A command-line tool that recursively scans a directory tree, records the storage used by each file owned by a given user into a database, and optionally serves a live web UI to browse and filter those results.

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Features

• Scans any path on the file system and records per-file sizes together with aggregate directory sizes.
• Filters results by file owner (defaults to the current user).
• Stores data in any SQLAlchemy-supported database (defaults to a local SQLite file).
• Resumes interrupted scans automatically – directories already fully scanned are skipped.
• Runs with reduced CPU and I/O priority via nice/ionice to avoid disturbing other workloads.
• Generates a standalone HTML summary report of the database contents.
• Serves a browser-based web UI with pagination and filtering over any previously built database.

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Requirements

• Python 3.10 or later
• The packages listed in requirements.txt (Jinja2, SQLAlchemy)
• ionice and nice (optional; only needed if you use the --ionice-class / --nice flags)

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Installation

Install from PyPI:

pip install storage-usage

Or install directly from GitHub using pip:

pip install git+https://github.com/stevenstetzler/storage-usage.git

This installs the storage-usage command and all required dependencies.

Development installation

Clone the repository and install in editable mode:

git clone https://github.com/stevenstetzler/storage-usage.git
cd storage-usage
pip install -e .

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Usage

storage-usage [--user USER] [--db URL]
              [--summary-html FILE]
              [--nice N] [--ionice-class {1,2,3}] [--ionice-level {0..7}]
              PATH

storage-usage --serve [--port PORT] [--db URL]

Scan mode

Scan a directory tree and persist the results to a database:

storage-usage /path/to/scan

Scan a path for files owned by a specific user and write results to a named database:

storage-usage --user alice --db sqlite:///alice.db /home/alice

Generate an HTML summary after scanning:

storage-usage /data --summary-html report.html

Run the scan at reduced priority so it does not affect other processes:

storage-usage --nice 19 --ionice-class 3 /data

Serve mode

Start the web UI to browse a previously built database:

storage-usage --serve

Use a specific database and port:

storage-usage --serve --db sqlite:///alice.db --port 9090

Open http://localhost:8080/ (or whichever port you chose) in your browser.

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Options

Option	Description
PATH	Root directory to scan (required in scan mode).
--user USER	Only count files owned by USER. Defaults to the current user.
--db URL	SQLAlchemy database URL. Defaults to sqlite:///storage_usage.db.
--summary-html FILE	After scanning, write a standalone HTML summary to FILE.
--serve	Start the web UI instead of scanning. PATH is not required.
--port PORT	Port for the web UI (default: 8080).
--nice N	Run the scan under nice -n N (0–19). Higher values mean lower CPU priority.
--ionice-class {1,2,3}	I/O scheduling class: 1 = realtime (requires root), 2 = best-effort, 3 = idle.
--ionice-level {0..7}	Priority level within the chosen I/O class (0 = highest, 7 = lowest).

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Web UI API

When running in --serve mode the server exposes two JSON endpoints in addition to the HTML UI:

Endpoint	Description
GET /	Single-page HTML application.
GET /api/files	Paginated list of individual file records.
GET /api/dirs	Paginated list of directory prefix records.

Both API endpoints accept the following query parameters:

Parameter	Description
page	1-based page number (default 1).
per_page	Records per page (default 20, max 100).
host	Substring filter on the host identifier.
path	Substring filter on the file path or directory prefix.
min_size	Minimum file size in bytes (default: no minimum).

/api/files additionally accepts:

Parameter	Description
kind	Substring filter on the file type (file, symlink, directory, …).

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Running the tests

pip install pytest
pytest tests/

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License

See LICENSE.