swarmauri_evaluator_anyusage 0.11.0.dev1

An evaluator component that detects and penalizes usage of the `Any` type in Python code

Swarmauri Evaluator AnyUsage

Evaluator that detects and penalizes usage of the typing.Any type in Python source files.

Features

• Recursively scans every .py file under program.path, falling back to the current working directory when that attribute is missing.
• Uses the Python AST to capture imports and annotations plus a regex pass to backfill edge cases (e.g., syntax errors).
• Deducts penalty_per_occurrence (default 0.1) for each finding and caps the deduction at max_penalty (default 1.0), yielding a normalized score between 0.0 and 1.0 where higher is better.
• Returns rich metadata that lists the number of files analyzed, the total Any occurrences, and per-file line numbers and snippets to accelerate remediation.

Installation

Choose the tool that best fits your workflow:

# pip
pip install swarmauri_evaluator_anyusage

# Poetry
poetry add swarmauri_evaluator_anyusage

# uv
uv add swarmauri_evaluator_anyusage

Usage

from pathlib import Path

from swarmauri_base.programs.ProgramBase import ProgramBase
from swarmauri_evaluator_anyusage import AnyTypeUsageEvaluator


workspace = Path("path/to/project")

program = ProgramBase()
program.name = workspace.name
program.path = str(workspace)  # AnyTypeUsageEvaluator walks this directory on disk

evaluator = AnyTypeUsageEvaluator(penalty_per_occurrence=0.1, max_penalty=1.0)
score, metadata = evaluator.evaluate(program)

print(f"Score: {score:.2f}")
print("Files analyzed:", metadata["files_analyzed"])
print("Any usages:", metadata["total_any_occurrences"])

for report in metadata["detailed_occurrences"]:
    print("-", report["file"])
    for occurrence in report["occurrences"]:
        print(f"  line {occurrence['line']}: {occurrence['context']}")

# If you already depend on `swarmauri_standard`, import
# `from swarmauri_standard.programs.Program import Program` and replace the
# ProgramBase construction above with `Program.from_workspace(workspace)`
# before setting `program.path` to keep the on-disk directory in sync with
# your Program content.

Metadata reference

The evaluation metadata contains:

• files_analyzed: Number of Python files inspected.
• total_any_occurrences: Count of detected Any usages across all files.
• penalty_applied: The aggregate deduction applied to the score.
• detailed_occurrences: A list with one entry per file containing the absolute path and the line/context pairs for each finding. Multiple entries can share a line number when both the parameter and return annotations use Any; the context value explains the exact usage (import, parameter annotation, return annotation, etc.).
• execution_time: Added by EvaluatorBase to show how long the evaluation took.

Use these fields to build dashboards, enforce quality gates, or guide manual reviews.

Want to help?

If you want to contribute to swarmauri-sdk, read up on our guidelines for contributing that will help you get started.