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AST-based linter enforcing SciTeX reproducible research patterns

Project description

SciTeX Linter

SciTeX Linter

PyPI version Python Versions Documentation License

scitex.ai · docs · pip install scitex-linter


AST-based Python linter enforcing SciTeX reproducible research patterns.

Part of the SciTeX ecosystem — guides both human researchers and AI agents toward reproducible science.

Why SciTeX Linter?

SciTeX scripts follow strict patterns for reproducibility: @stx.session decorators, stx.io for provenance-tracked I/O, stx.stats for complete statistical reporting, and relative paths for portability. SciTeX Linter enforces these patterns at the AST level — catching issues before they become irreproducible results.

Quick Start

pip install scitex-linter
# Lint a file
scitex-linter check script.py

# Lint then execute
scitex-linter python experiment.py --strict

# List all 35 rules
scitex-linter rule

Five Interfaces

Interface For Description
🖥️ CLI Terminal users scitex-linter check, scitex-linter python
Format Auto-fix scitex-linter format — auto-fix SciTeX issues
🐍 Python API Programmatic use from scitex_linter.checker import lint_file
🔌 flake8 Plugin CI pipelines flake8 --select STX
🔧 MCP Server AI agents 3 tools for Claude/GPT integration
🖥️ CLI Commands
scitex-linter --help                              # Show all commands
scitex-linter --help-recursive                    # Show help for all subcommands

# Check - Check for SciTeX pattern violations
scitex-linter check script.py                      # Check a file
scitex-linter check ./src/                         # Check a directory
scitex-linter check script.py --severity error     # Only errors
scitex-linter check script.py --category path      # Only path rules
scitex-linter check script.py --json               # JSON output for CI

# Format - Auto-fix SciTeX pattern issues
scitex-linter format script.py                     # Fix in place
scitex-linter format script.py --check             # Dry run (exit 1 if changes needed)
scitex-linter format script.py --diff              # Show diff of changes
scitex-linter format ./src/                        # Format a directory

# Python - Lint then execute
scitex-linter python experiment.py                # Lint and run
scitex-linter python experiment.py --strict       # Abort on errors
scitex-linter python experiment.py -- --lr 0.001  # Pass script args

# Rules - Browse available rules
scitex-linter rule                          # List all 35 rules
scitex-linter rule --category stats         # Filter by category
scitex-linter rule --json                   # JSON output

# MCP - AI agent server
scitex-linter mcp start                           # Start MCP server (stdio)
scitex-linter mcp list-tools                      # List MCP tools
🐍 Python API
from scitex_linter.checker import lint_file
from scitex_linter.formatter import format_issue

# Lint a file
issues = lint_file("script.py")
for issue in issues:
    print(format_issue(issue, "script.py"))

# Check source code directly
from scitex_linter.checker import lint_source
issues = lint_source("import argparse\npass\n")
🔌 flake8 Plugin

SciTeX Linter registers as a flake8 plugin with the STX prefix:

flake8 --select STX script.py
flake8 --select STX ./src/ --format=json

Integrates with existing flake8 workflows, pre-commit hooks, and CI pipelines.

🔧 MCP Server — 3 Tools for AI Agents
Tool Description
linter_check Check a Python file for SciTeX compliance
linter_list_rules List all available rules
linter_check_source Lint source code string

Claude Desktop (~/.config/Claude/claude_desktop_config.json):

{
  "mcpServers": {
    "scitex-linter": {
      "command": "scitex-linter",
      "args": ["mcp", "start"]
    }
  }
}

Install MCP extra: pip install scitex-linter[mcp]

35 Rules Across 7 Categories

Category Rules Severity What It Enforces
S Structure 5 error/warning @stx.session, __main__ guard, no argparse
I Import 7 warning/info Use stx.plt, stx.stats, stx.io instead of raw libs
IO I/O Calls 7 warning Use stx.io.save()/stx.io.load() for provenance
P Plot 5 info Use stx.plt tracked methods, logger over print()
ST Stats 6 warning Use stx.stats for auto effect size + CI + power
PA Path 5 warning/info Relative paths with ./, no open(), no os.chdir()
Example Output
script.py:1   STX-S003  [error]    argparse detected — @stx.session auto-generates CLI
  Suggestion: Remove `import argparse` and define parameters as function arguments:
    @stx.session
    def main(data_path: str, threshold: float = 0.5):
        # Auto-generates: --data-path, --threshold

script.py:5   STX-PA001 [warning]  Absolute path in `stx.io` call — use relative paths
  Suggestion: Use `stx.io.save(obj, './relative/path.ext')` — paths resolve to script_out/.

script.py: 2 issues (1 error, 1 warning)
Full Rules Reference

See Rules Reference for all 35 rules with descriptions and suggestions.

Claude Code Hook

SciTeX Linter works as a post-tool-use hook for Claude Code, automatically linting every Python file Claude writes or edits:

# In ~/.claude/to_claude/hooks/post-tool-use/run_lint.sh
# Errors (exit 2) → Claude must fix
# Warnings (exit 1) → Claude sees feedback

This ensures AI-generated code follows SciTeX patterns from the start.

Configuration

Configure via pyproject.toml or environment variables
[tool.scitex-linter]
severity = "info"                    # Minimum severity: error, warning, info
disable = ["STX-P004", "STX-I003"]   # Disable specific rules
exclude-dirs = ["venv", ".venv"]     # Directories to skip
library-dirs = ["src"]               # Exempt from script-only rules

[tool.scitex-linter.per-rule-severity]
STX-S003 = "warning"                 # Downgrade argparse rule

[tool.scitex-linter.session]
required-injected = ["CONFIG", "plt", "COLORS", "rngg", "logger"]

Environment variables (highest priority):

SCITEX_LINTER_SEVERITY=error
SCITEX_LINTER_DISABLE=STX-P004,STX-I003

Priority: CLI flags > env vars > pyproject.toml > defaults

What a Clean Script Looks Like

import scitex as stx

@stx.session
def main(data_path="./data.csv", threshold=0.5):
    df = stx.io.load(data_path)
    results = stx.stats.ttest_ind(df["group_a"], df["group_b"])
    stx.io.save(results, "./results.csv")
    return 0

if __name__ == "__main__":
    main()

Zero lint issues. Fully reproducible. Auto-CLI from function signature.

Documentation

📚 Full Documentation on Read the Docs


SciTeX
AGPL-3.0 · ywatanabe@scitex.ai

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