scitex-logging

Logging utilities for SciTeX — SUCCESS/FAIL log levels, typed exception hierarchy, Tee context-manager.

Full Documentation · uv pip install scitex-logging[all]

Problem and Solution

Installation

pip install scitex-logging

1 Interfaces

import scitex_logging

# Configure logging
scitex_logging.configure(level=scitex_logging.INFO, enable_file=True)

# Get a logger
import logging
logger = logging.getLogger(__name__)
logger.info("Hello from SciTeX logging")

# Tee stdout/stderr to log files
import sys
sys.stdout, sys.stderr = scitex_logging.tee(sys)

# Custom error classes
from scitex_logging import SciTeXError, SaveError

# Warning utilities
from scitex_logging import warn_deprecated, warn_performance

# LLM session log parsing
log = scitex_logging.llm.load("session.jsonl")
log.summary()
log.render("out.html")

Architecture

scitex_logging/
├── _config.py            ← `configure()` entry point + level registration
├── _levels.py            ← SUCCESS / FAIL custom log levels
├── _Tee.py               ← stdout/stderr Tee context-manager
├── _errors.py            ← 30+ typed `SciTeXError` subclasses
├── _warnings.py          ← `warn_deprecated`, `warn_performance`
└── llm/                  ← Claude / LLM session-log parsers

Demo

flowchart LR
    A[script.py] -->|getLogger| B[scitex_logging]
    B --> C{level}
    C -->|SUCCESS| D[green log + Tee → run.log]
    C -->|FAIL| E[red log + Tee → run.log]
    C -->|ERROR| F[typed SciTeXError raised]

import logging, scitex_logging as sxl

sxl.configure(level=sxl.INFO, enable_file=True)
log = logging.getLogger(__name__)

log.success("model converged")    # green
log.fail("validation failed")     # red, distinct from ERROR

2026-05-07 12:00:00 SUCCESS  model converged
2026-05-07 12:00:01 FAIL     validation failed

Part of SciTeX

scitex-logging is part of SciTeX. Install via the umbrella with pip install scitex[logging] to use as scitex.logging (Python).

Four Freedoms for Research

0. The freedom to run your research anywhere — your machine, your terms.
1. The freedom to study how every step works — from raw data to final manuscript.
2. The freedom to redistribute your workflows, not just your papers.
3. The freedom to modify any module and share improvements with the community.

AGPL-3.0 — because we believe research infrastructure deserves the same freedoms as the software it runs on.

License

AGPL-3.0-only — see LICENSE.