task.json

{
  "name": "python_engineering_signals",
  "description": "Classify fixed-size Python code blocks for whether they exhibit common OSS-style engineering practices (documentation, typing, structured logging, tests, defensive errors).",
  "language": "python",
  "conventions": [
    {
      "name": "has_type_hints",
      "description": "Function or method definitions use PEP 484 annotations (parameters and/or return), or module-level variables use explicit type annotations."
    },
    {
      "name": "has_docstring_or_comment_block",
      "description": "The block includes a docstring (module, class, or function) or a substantial comment block explaining intent (not only # noqa or trivial one-liners)."
    },
    {
      "name": "uses_logging_not_print",
      "description": "Uses the logging module (e.g. logger.info, getLogger) for diagnostic output rather than bare print for operational messages."
    },
    {
      "name": "test_or_pytest_artifacts",
      "description": "Test-oriented code: pytest/unittest imports, @pytest.fixture, test_* functions, assert used in a test-like context, or mock/patch from unittest.mock."
    },
    {
      "name": "defensive_error_handling",
      "description": "Explicit failure paths: try/except with handling, raise ValueError/TypeError with a message, assert with a message, or guard clauses that raise early."
    }
  ],
  "block_lines": 48,
  "test_repos": 3,
  "train_repos": 8,
  "val_repos": 2,
  "target_f1": 0.78,
  "max_repair_rounds": 3,
  "gliner2_base_model": "fastino/gliner2-base-v1",
  "gliner2_hf_repo": "gilpasternak-cm/gliner2_classifier"
}