value_extractor_views.py 文件源码

def _make_expression_completer(owner, data_type):
    model = QStringListModel()
    comp = QCompleter(owner)
    comp.setCaseSensitivity(Qt.CaseSensitive)

    if isinstance(data_type, str):
        data_type = uavcan.TYPENAMES[data_type]

    # TODO: implement proper completion, requires Python lexer
    # TODO: IPython/Jupyter solves the same task splendidly, might make sense to take a closer look at their code
    def make_suggestions(t):
        """Builds a flat list of fields in a given data type"""
        if t.category == t.CATEGORY_COMPOUND:
            out = []
            for a in t.fields + t.constants:
                if (a.type.category != a.type.CATEGORY_COMPOUND) and \
                   (a.type.category != a.type.CATEGORY_VOID) and \
                   (a.type.category != a.type.CATEGORY_ARRAY or
                            a.type.value_type.category == a.type.value_type.CATEGORY_PRIMITIVE):
                    out.append(a.name)
                out += [(a.name + x) for x in make_suggestions(a.type)]
            return [('.' + x) for x in out]
        elif t.category == t.CATEGORY_ARRAY:
            base = '[0]'
            if t.value_type.category == t.CATEGORY_COMPOUND:
                return [(base + x) for x in make_suggestions(t.value_type)]
            else:
                return [base]
        return []

    suggestions = [(EXPRESSION_VARIABLE_FOR_MESSAGE + x) for x in make_suggestions(data_type)]

    model.setStringList(suggestions)
    comp.setModel(model)
    return comp