def _detect_docstring_style()

in src/agents/function_schema.py [0:0]

• 26 lines of code
• 15 McCabe index (conditional complexity)

def _detect_docstring_style(doc: str) -> DocstringStyle:
    scores: dict[DocstringStyle, int] = {"sphinx": 0, "numpy": 0, "google": 0}

    # Sphinx style detection: look for :param, :type, :return:, and :rtype:
    sphinx_patterns = [r"^:param\s", r"^:type\s", r"^:return:", r"^:rtype:"]
    for pattern in sphinx_patterns:
        if re.search(pattern, doc, re.MULTILINE):
            scores["sphinx"] += 1

    # Numpy style detection: look for headers like 'Parameters', 'Returns', or 'Yields' followed by
    # a dashed underline
    numpy_patterns = [
        r"^Parameters\s*\n\s*-{3,}",
        r"^Returns\s*\n\s*-{3,}",
        r"^Yields\s*\n\s*-{3,}",
    ]
    for pattern in numpy_patterns:
        if re.search(pattern, doc, re.MULTILINE):
            scores["numpy"] += 1

    # Google style detection: look for section headers with a trailing colon
    google_patterns = [r"^(Args|Arguments):", r"^(Returns):", r"^(Raises):"]
    for pattern in google_patterns:
        if re.search(pattern, doc, re.MULTILINE):
            scores["google"] += 1

    max_score = max(scores.values())
    if max_score == 0:
        return "google"

    # Priority order: sphinx > numpy > google in case of tie
    styles: list[DocstringStyle] = ["sphinx", "numpy", "google"]

    for style in styles:
        if scores[style] == max_score:
            return style

    return "google"