Python types.Boolean方法代碼示例

# 需要導入模塊: from sqlalchemy import types [as 別名]
# 或者: from sqlalchemy.types import Boolean [as 別名]
def get_type(data_type):
    type_map = {
        "bytes": types.LargeBinary,
        "boolean": types.Boolean,
        "date": types.Date,
        "datetime": types.DateTime,
        "double": types.Numeric,
        "text": types.String,
        "keyword": types.String,
        "integer": types.Integer,
        "half_float": types.Float,
        "geo_point": types.String,
        # TODO get a solution for nested type
        "nested": types.String,
        # TODO get a solution for object
        "object": types.BLOB,
        "long": types.BigInteger,
        "float": types.Float,
        "ip": types.String,
    }
    type_ = type_map.get(data_type)
    if not type_:
        logger.warning(f"Unknown type found {data_type} reverting to string")
        type_ = types.String
    return type_ 

# 需要導入模塊: from sqlalchemy import types [as 別名]
# 或者: from sqlalchemy.types import Boolean [as 別名]
def fields_map(self, field_type):
        if field_type == "primary":
            return ID(stored=True, unique=True)
        type_map = {
            'date': types.Date,
            'datetime': types.DateTime,
            'boolean': types.Boolean,
            'integer': types.Integer,
            'float': types.Float
        }
        if isinstance(field_type, str):
            field_type = type_map.get(field_type, types.Text)

        if not isinstance(field_type, type):
            field_type = field_type.__class__

        if issubclass(field_type, (types.DateTime, types.Date)):
            return DATETIME(stored=True, sortable=True)
        elif issubclass(field_type, types.Integer):
            return NUMERIC(stored=True, numtype=int)
        elif issubclass(field_type, types.Float):
            return NUMERIC(stored=True, numtype=float)
        elif issubclass(field_type, types.Boolean):
            return BOOLEAN(stored=True)
        return TEXT(stored=True, analyzer=self.analyzer, sortable=False) 

# 需要導入模塊: from sqlalchemy import types [as 別名]
# 或者: from sqlalchemy.types import Boolean [as 別名]
def _add_annotation_docs_to_sqlite(dbcon, annotation_docs, item):
    # add full item path for convenience
    annotation_docs.loc[:, "item_name"] = item['name']

    # save tables to sqlite
    annotation_docs.to_sql(
        name='annotation_docs', con=dbcon, if_exists='append',
        dtype={
            'annotation_girder_id': String(),
            '_modelType': String(),
            '_version': Integer(),
            'itemId': String(),
            'item_name': String(),
            'created': String(),
            'creatorId': String(),
            'public': Boolean(),
            'updated': String(),
            'updatedId': String(),
            'groups': String(),
            'element_count': Integer(),
            'element_details': Integer(), },
        index=False,
    ) 

# 需要導入模塊: from sqlalchemy import types [as 別名]
# 或者: from sqlalchemy.types import Boolean [as 別名]
def test_implicitly_boolean(self):
        # test for expressions that the database always considers as boolean
        # even if there is no boolean datatype.
        assert not self.table1.c.myid._is_implicitly_boolean
        assert (self.table1.c.myid == 5)._is_implicitly_boolean
        assert (self.table1.c.myid == 5).self_group()._is_implicitly_boolean
        assert (self.table1.c.myid == 5).label("x")._is_implicitly_boolean
        assert not_(self.table1.c.myid == 5)._is_implicitly_boolean
        assert or_(
            self.table1.c.myid == 5, self.table1.c.myid == 7
        )._is_implicitly_boolean
        assert not column("x", Boolean)._is_implicitly_boolean
        assert not (self.table1.c.myid + 5)._is_implicitly_boolean
        assert not not_(column("x", Boolean))._is_implicitly_boolean
        assert (
            not select([self.table1.c.myid])
            .scalar_subquery()
            ._is_implicitly_boolean
        )
        assert not text("x = y")._is_implicitly_boolean
        assert not literal_column("x = y")._is_implicitly_boolean 

# 需要導入模塊: from sqlalchemy import types [as 別名]
# 或者: from sqlalchemy.types import Boolean [as 別名]
def get_columns(self, connection, table_name, schema=None, **kw):
        # Extend types supported by PrestoDialect as defined in PyHive
        type_map = {
            'bigint': sql_types.BigInteger,
            'integer': sql_types.Integer,
            'boolean': sql_types.Boolean,
            'double': sql_types.Float,
            'varchar': sql_types.String,
            'timestamp': sql_types.TIMESTAMP,
            'date': sql_types.DATE,
            'array<bigint>': sql_types.ARRAY(sql_types.Integer),
            'array<varchar>': sql_types.ARRAY(sql_types.String)
        }

        rows = self._get_table_columns(connection, table_name, schema)
        result = []
        for row in rows:
            try:
                coltype = type_map[row.Type]
            except KeyError:
                logger.warn("Did not recognize type '%s' of column '%s'" % (row.Type, row.Column))
                coltype = sql_types.NullType
            result.append({
                'name': row.Column,
                'type': coltype,
                # newer Presto no longer includes this column
                'nullable': getattr(row, 'Null', True),
                'default': None,
            })
        return result 

# 需要導入模塊: from sqlalchemy import types [as 別名]
# 或者: from sqlalchemy.types import Boolean [as 別名]
def test_reflect_select(table, table_using_test_dataset):
    for table in [table, table_using_test_dataset]:
        assert len(table.c) == 18

        assert isinstance(table.c.integer, Column)
        assert isinstance(table.c.integer.type, types.Integer)
        assert isinstance(table.c.timestamp.type, types.TIMESTAMP)
        assert isinstance(table.c.string.type, types.String)
        assert isinstance(table.c.float.type, types.Float)
        assert isinstance(table.c.boolean.type, types.Boolean)
        assert isinstance(table.c.date.type, types.DATE)
        assert isinstance(table.c.datetime.type, types.DATETIME)
        assert isinstance(table.c.time.type, types.TIME)
        assert isinstance(table.c.bytes.type, types.BINARY)
        assert isinstance(table.c['record.age'].type, types.Integer)
        assert isinstance(table.c['record.name'].type, types.String)
        assert isinstance(table.c['nested_record.record.age'].type, types.Integer)
        assert isinstance(table.c['nested_record.record.name'].type, types.String)
        assert isinstance(table.c.array.type, types.ARRAY)

        rows = table.select().execute().fetchall()
        assert len(rows) == 1000 

# 需要導入模塊: from sqlalchemy import types [as 別名]
# 或者: from sqlalchemy.types import Boolean [as 別名]
def fields_map(self, field_type):
        if field_type == "primary":
            return {'type': 'keyword'}

        type_map = {
            'date': types.Date,
            'datetime': types.DateTime,
            'boolean': types.Boolean,
            'integer': types.Integer,
            'float': types.Float,
            'binary': types.Binary
        }
        if isinstance(field_type, str):
            field_type = type_map.get(field_type, types.Text)

        if not isinstance(field_type, type):
            field_type = field_type.__class__

        if issubclass(field_type, (types.DateTime, types.Date)):
            return {'type': 'date'}
        elif issubclass(field_type, types.Integer):
            return {'type': 'long'}
        elif issubclass(field_type, types.Float):
            return {'type': 'float'}
        elif issubclass(field_type, types.Boolean):
            return {'type': 'boolean'}
        elif issubclass(field_type, types.Binary):
            return {'type': 'binary'}
        return {'type': 'string'}


# https://medium.com/@federicopanini/elasticsearch-6-0-removal-of-mapping-types-526a67ff772 

# 需要導入模塊: from sqlalchemy import types [as 別名]
# 或者: from sqlalchemy.types import Boolean [as 別名]
def test_should_boolean_convert_boolean():
    assert get_field(types.Boolean()).type == graphene.Boolean 

# 需要導入模塊: from sqlalchemy import types [as 別名]
# 或者: from sqlalchemy.types import Boolean [as 別名]
def get_columns(self, connection, table_name, schema=None, **kw):
        SQL_COLS = """
            SELECT CAST(a.attname AS VARCHAR(128)) as name,
                   a.atttypid as typeid,
                   not a.attnotnull as nullable,
                   a.attcolleng as length,
                   a.format_type
            FROM _v_relation_column a
            WHERE a.name = :tablename
            ORDER BY a.attnum
        """
        s = text(SQL_COLS,
                 bindparams=[bindparam('tablename', type_=sqltypes.String)],
                 typemap={'name': NAME,
                          'typeid': sqltypes.Integer,
                          'nullable': sqltypes.Boolean,
                          'length': sqltypes.Integer,
                          'format_type': sqltypes.String,
                          })
        c = connection.execute(s, tablename=table_name)
        rows = c.fetchall()
        # format columns
        columns = []
        for name, typeid, nullable, length, format_type in rows:
            coltype_class, has_length = oid_datatype_map[typeid]
            if coltype_class is sqltypes.Numeric:
                precision, scale = re.match(
                    r'numeric\((\d+),(\d+)\)', format_type).groups()
                coltype = coltype_class(int(precision), int(scale))
            elif has_length:
                coltype = coltype_class(length)
            else:
                coltype = coltype_class()
            columns.append({
                'name': name,
                'type': coltype,
                'nullable': nullable,
            })
        return columns 

# 需要導入模塊: from sqlalchemy import types [as 別名]
# 或者: from sqlalchemy.types import Boolean [as 別名]
def _add_folder_to_sqlite(dbcon, folder_info):
    # modify folder info to prep for appending to sqlite table
    folder_info_dtypes = {
        '_accessLevel': Integer(),
        '_id': String(),
        '_modelType': String(),
        'baseParentId': String(),
        'baseParentType': String(),
        'created': String(),
        'creatorId': String(),
        'description': String(),
        'name': String(),
        'parentCollection': String(),
        'parentId': String(),
        'public': Boolean(),
        'size': Integer(),
        'updated': String(),
        'folder_path': String(),
    }

    # in case anything is not in the schema, drop it
    folder_info = {
        k: v for k, v in folder_info.items()
        if k in folder_info_dtypes.keys()}

    # convert to df and add to items table
    folder_info_df = DataFrame.from_dict(folder_info, orient='index').T
    folder_info_df.to_sql(
        name='folders', con=dbcon, if_exists='append',
        dtype=folder_info_dtypes, index=False) 

# 需要導入模塊: from sqlalchemy import types [as 別名]
# 或者: from sqlalchemy.types import Boolean [as 別名]
def add_false_positive(context, issue):
    """Add a finding into the database as a new finding

    :param context: The Behave context
    :param response: An issue data structure (see steps.py)
    """
    dbconn = open_database(context)
    if dbconn is None:
        # There is no false positive db in use, and we cannot store the data,
        # so we will assert a failure.
        assert False, "Issues were found in scan, but no false positive database is in use."

    # Add the finding into the database

    db_insert = context.headlessscanner_issues.insert().values(
        new_issue=True,  # Boolean
        # The result from Burp Extender does not include a timestamp,
        # so we add the current time
        timestamp=datetime.datetime.utcnow(),  # DateTime
        test_runner_host=socket.gethostbyname(socket.getfqdn()),  # Text
        scenario_id=issue['scenario_id'],  # Text
        url=issue['url'],  # Text
        severity=issue['severity'],  # Text
        issuetype=issue['issuetype'],  # Text
        issuename=issue['issuename'],  # Text
        issuedetail=issue['issuedetail'],  # Text
        confidence=issue['confidence'],  # Text
        host=issue['host'],  # Text
        port=issue['port'],  # Text
        protocol=issue['protocol'],  # Text
        messages=json.dumps(issue['messages']))  # Blob

    dbconn.execute(db_insert)
    dbconn.close() 

# 需要導入模塊: from sqlalchemy import types [as 別名]
# 或者: from sqlalchemy.types import Boolean [as 別名]
def compare_type(self, ctxt, insp_col, meta_col, insp_type, meta_type):
        """Return True if types are different, False if not.

        Return None to allow the default implementation to compare these types.

        :param ctxt: alembic MigrationContext instance
        :param insp_col: reflected column
        :param meta_col: column from model
        :param insp_type: reflected column type
        :param meta_type: column type from model

        """

        # some backends (e.g. mysql) don't provide native boolean type
        BOOLEAN_METADATA = (types.BOOLEAN, types.Boolean)
        BOOLEAN_SQL = BOOLEAN_METADATA + (types.INTEGER, types.Integer)

        if issubclass(type(meta_type), BOOLEAN_METADATA):
            return not issubclass(type(insp_type), BOOLEAN_SQL)

        # Alembic <=0.8.4 do not contain logic of comparing Variant type with
        # others.
        if isinstance(meta_type, types.Variant):
            orig_type = meta_col.type
            impl_type = meta_type.load_dialect_impl(ctxt.dialect)
            meta_col.type = impl_type
            try:
                return self.compare_type(ctxt, insp_col, meta_col, insp_type,
                                         impl_type)
            finally:
                meta_col.type = orig_type

        return ctxt.impl.compare_type(insp_col, meta_col) 

# 需要導入模塊: from sqlalchemy import types [as 別名]
# 或者: from sqlalchemy.types import Boolean [as 別名]
def _compare_server_default(bind, meta_col, insp_def, meta_def):
        if isinstance(meta_col.type, sqlalchemy.Boolean):
            if meta_def is None or insp_def is None:
                return meta_def != insp_def
            insp_def = insp_def.strip("'")
            return not (
                isinstance(meta_def.arg, expr.True_) and insp_def == "1" or
                isinstance(meta_def.arg, expr.False_) and insp_def == "0"
            ) 

# 需要導入模塊: from sqlalchemy import types [as 別名]
# 或者: from sqlalchemy.types import Boolean [as 別名]
def test_default_reflection(self):

        # (ask_for, roundtripped_as_if_different)

        specs = [
            (String(3), '"foo"'),
            (sqltypes.NUMERIC(10, 2), "100.50"),
            (Integer, "5"),
            (Boolean, "False"),
        ]
        columns = [
            Column("c%i" % (i + 1), t[0], server_default=text(t[1]))
            for (i, t) in enumerate(specs)
        ]
        db = testing.db
        m = MetaData(db)
        Table("t_defaults", m, *columns)
        try:
            m.create_all()
            m2 = MetaData(db)
            rt = Table("t_defaults", m2, autoload=True)
            expected = [c[1] for c in specs]
            for i, reflected in enumerate(rt.c):
                eq_(str(reflected.server_default.arg), expected[i])
        finally:
            m.drop_all() 

# 需要導入模塊: from sqlalchemy import types [as 別名]
# 或者: from sqlalchemy.types import Boolean [as 別名]
def test_boolean_default(self):
        t = Table(
            "t",
            self.metadata,
            Column("x", Boolean, server_default=sql.false()),
        )
        t.create(testing.db)
        with testing.db.connect() as conn:
            conn.execute(t.insert())
            conn.execute(t.insert().values(x=True))
            eq_(
                conn.execute(t.select().order_by(t.c.x)).fetchall(),
                [(False,), (True,)],
            )