Exemple #1
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class DataSet(struct.Schema):
    """Testing schema.

    The actual fields are irrelevant.
    """

    feature: struct.Field = struct.Field(kind.Integer())
    label: struct.Field = struct.Field(kind.Float())
Exemple #2
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class Year(series.Univariate):
    """Extract the year from given date/time."""

    value: series.Operable = property(operator.itemgetter(0))
    kind: kindmod.Any = kindmod.Integer()

    def __new__(cls, value: series.Operable):
        kindmod.Date.ensure(series.Operable.ensure_is(value).kind)
        return super().__new__(cls, value)
Exemple #3
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    def test_colliding(self, schema: typing.Type['struct.Schema']):
        """Test schema with colliding field names."""
        with pytest.raises(error.Syntax):

            class Colliding(schema):
                """Schema with colliding field names."""

                birthday = struct.Field(kind.Integer())

            _ = Colliding

        class Override(schema):
            """Schema with overridden field kind."""

            school = struct.Field(kind.String())

        assert Override.school.kind == kind.String()
        assert schema.school.kind == kind.Integer()
Exemple #4
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class Demo(struct.Schema):
    """Demo schema representation."""

    Label = struct.Field(kind.Integer())
    Age = struct.Field(kind.Integer())
Exemple #5
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    class Series(parsmod.Frame.Series[str, str]):
        """Series DSL parser producing SQL code."""
        class Expression:
            """Expression generator/formatter."""

            ASSOCIATIVE = re.compile(
                r"\s*(?:(\S*\()?\s*[^-+*/%\s]+\s*(?(1).*\))|TIMESTAMP *'.+'|DATE *'.+')\s*"
            )

            def __init__(self,
                         template: str,
                         mapper: typing.Optional[typing.Callable[
                             ..., typing.Sequence]] = None):
                self._template: str = template
                self._mapper: typing.Optional[typing.Callable[
                    ..., typing.Sequence]] = mapper

            def __call__(self, *args: typing.Any) -> str:
                """Actual expression generator.

                Args:
                    *args: Expression arguments.

                Returns:
                    Generated expression value.
                """
                def clean(arg: str) -> str:
                    """Add parentheses if necessary.

                    Args:
                        arg: Argument to be cleaned.

                    Returns:
                        Clean argument.
                    """
                    if not self.ASSOCIATIVE.fullmatch(arg):
                        arg = f'({arg})'
                    return arg

                if self._mapper:
                    args = self._mapper(*args)
                args = [clean(a) for a in args]
                return self._template.format(*args)

        KIND: typing.Mapping[kindmod.Any, str] = {
            kindmod.Boolean(): 'BOOLEAN',
            kindmod.Integer(): 'BIGINT',
            kindmod.Float(): 'DOUBLE',
            kindmod.Decimal(): 'DECIMAL',
            kindmod.String(): 'VARCHAR',
            kindmod.Date(): 'DATE',
            kindmod.Timestamp(): 'TIMESTAMP',
        }

        EXPRESSION: typing.Mapping[
            typing.Type[series.Expression], typing.Callable[..., str]] = {
                function.Addition:
                Expression('{} + {}'),
                function.Subtraction:
                Expression('{} - {}'),
                function.Multiplication:
                Expression('{} * {}'),
                function.Division:
                Expression('{} / {}'),
                function.Modulus:
                Expression('{} % {}'),
                function.LessThan:
                Expression('{} < {}'),
                function.LessEqual:
                Expression('{} <= {}'),
                function.GreaterThan:
                Expression('{} > {}'),
                function.GreaterEqual:
                Expression('{} >= {}'),
                function.Equal:
                Expression('{} = {}'),
                function.NotEqual:
                Expression('{} != {}'),
                function.IsNull:
                Expression('{} IS NULL'),
                function.NotNull:
                Expression('{} IS NOT NULL'),
                function.And:
                Expression('{} AND {}'),
                function.Or:
                Expression('{} OR {}'),
                function.Not:
                Expression('NOT {}'),
                function.Cast:
                Expression('cast({} AS {})',
                           lambda _, k: [_, Frame.Series.KIND[k]]),
                function.Avg:
                Expression('avg({})'),
                function.Count:
                Expression('count({})',
                           lambda c=None: [c if c is not None else '*']),
                function.Min:
                Expression('min({})'),
                function.Max:
                Expression('max({})'),
                function.Sum:
                Expression('sum({})'),
                function.Year:
                Expression('year({})'),
                function.Abs:
                Expression('abs({})'),
                function.Ceil:
                Expression('ceil({})'),
                function.Floor:
                Expression('floor({})'),
            }

        DATE = '%Y-%m-%d'
        TIMESTAMP = '%Y-%m-%d %H:%M:%S'

        def __init__(
            self,
            sources: typing.Mapping[frame.Source, str],
            columns: typing.Optional[typing.Mapping[series.Column,
                                                    str]] = None,
        ):
            super().__init__(sources, columns or dict())

        def resolve_column(self, column: series.Column) -> str:
            """Resolver falling back to a field name in case of no explicit mapping.

            Args:
                column: Column to be resolved.

            Returns:
                Resolved column.
            """
            try:
                return super().resolve_column(column)
            except error.Mapping as err:
                if isinstance(column, series.Element):
                    return column.name
                raise err

        def generate_element(self, source: str, element: str) -> str:  # pylint: disable=no-self-use
            """Generate a field code.

            Args:
                source: Field source value.
                element: Field symbol.

            Returns:
                Field representation.
            """
            return f'{source}.{element}'

        def generate_alias(self, column: str, alias: str) -> str:  # pylint: disable=no-self-use
            """Generate column alias code.

            Args:
                column: Column value.
                alias: Alias to be used for given column.

            Returns:
                Aliased column.
            """
            return f'{column} AS {alias}'

        def generate_literal(self, value: typing.Any,
                             kind: kindmod.Any) -> str:
            """Generate a literal value.

            Args:
                value: Literal value instance.
                kind: Literal value type.

            Returns:
                Literal.
            """
            if isinstance(kind, kindmod.String):
                return f"'{value}'"
            if isinstance(kind, kindmod.Numeric):
                return f'{value}'
            if isinstance(kind, kindmod.Timestamp):
                return f"TIMESTAMP '{value.strftime(self.TIMESTAMP)}'"
            if isinstance(kind, kindmod.Date):
                return f"DATE '{value.strftime(self.DATE)}'"
            if isinstance(kind, kindmod.Array):
                return f"ARRAY[{', '.join(self.generate_literal(v, kind.element) for v in value)}]"
            raise error.Unsupported(f'Unsupported literal kind: {kind}')

        def generate_expression(self,
                                expression: typing.Type[series.Expression],
                                arguments: typing.Sequence[typing.Any]) -> str:
            """Expression of given arguments.

            Args:
                expression: Operator or function implementing the expression.
                arguments: Expression arguments.

            Returns:
                Expression.
            """
            try:
                return self.EXPRESSION[expression](*arguments)
            except KeyError as err:
                raise error.Unsupported(
                    f'Unsupported expression: {expression}') from err

        def generate_reference(self, name: str) -> str:  # pylint: disable=no-self-use
            """Generate a source reference (alias) application.

            Args:
                name: Reference name (alias).

            Returns:
                Reference application.
            """
            return name
Exemple #6
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    class School(struct.Schema):
        """School table."""

        sid = struct.Field(kind.Integer(), 'id')
        name = struct.Field(kind.String())
Exemple #7
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    class Student(person):
        """Extended table."""

        level = struct.Field(kind.Integer())
        score = struct.Field(kind.Float())
        school = struct.Field(kind.Integer())
Exemple #8
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        class Child(Base):
            """Child schema - adding a field "last" plus overriding kind of the "fixme" field."""

            last = struct.Field(kind.Integer())
            fixme = struct.Field(kind.String(), name='new')
Exemple #9
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        class Base(struct.Schema):
            """Base schema."""

            first = struct.Field(kind.Integer())
            fixme = struct.Field(kind.Float(), name='old')
Exemple #10
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 def key() -> kindmod.Any:
     """Key fixture."""
     return kindmod.Integer()
Exemple #11
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class Floor(series.Arithmetic, series.Univariate):
    """Value rounded down to nearest integer."""

    kind: kindmod.Integer = kindmod.Integer()
Exemple #12
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class Ceil(series.Arithmetic, series.Univariate):
    """Value rounded up to nearest integer."""

    kind: kindmod.Integer = kindmod.Integer()
Exemple #13
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class Count(series.Aggregate, series.Univariate):
    """Number of the input rows."""

    kind: kindmod.Integer = kindmod.Integer()
Exemple #14
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 def kind() -> typing.Type[kindmod.Any]:
     return lambda: kindmod.Struct(
         foo=kindmod.Integer(), bar=kindmod.String(), baz=kindmod.Boolean())
Exemple #15
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    class Human(struct.Schema):
        """Human schema representation."""

        name = struct.Field(kind.String())
        age = struct.Field(kind.Integer())
Exemple #16
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            class Colliding(schema):
                """Schema with colliding field names."""

                birthday = struct.Field(kind.Integer())
Exemple #17
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 def element() -> kindmod.Any:
     """Element fixture."""
     return kindmod.Integer()