def __repr__()

in google/generativeai/generative_models.py [0:0]

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

    def __repr__(self) -> str:
        _dict_repr = reprlib.Repr()
        _model = str(self.model).replace("\n", "\n" + " " * 4)

        def content_repr(x):
            return f"protos.Content({_dict_repr.repr(type(x).to_dict(x))})"

        try:
            history = list(self.history)
        except (generation_types.BrokenResponseError, generation_types.IncompleteIterationError):
            history = list(self._history)

        if self._last_sent is not None:
            history.append(self._last_sent)
        history = [content_repr(x) for x in history]

        last_received = self._last_received
        if last_received is not None:
            if last_received._error is not None:
                history.append("<STREAMING ERROR>")
            else:
                history.append("<STREAMING IN PROGRESS>")

        _history = ",\n    " + f"history=[{', '.join(history)}]\n)"

        return (
            textwrap.dedent(
                f"""\
                ChatSession(
                    model="""
            )
            + _model
            + _history
        )