#758

Committed 04 Sep 2023 08:37PM UTC coverage: 0.0% (-78.3%) from 78.333%

Build # #758

Build Type

push

circle-ci

Committed by

hershd23

Commit Message

Increased underline length in at line 75 in text_summarization.rst
	modified:   docs/source/benchmarks/text_summarization.rst

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/evadb/catalog/schema_utils.py

# coding=utf-8
# Copyright 2018-2023 EvaDB
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from typing import Dict, List

from sqlalchemy import TEXT, Column, Float, Integer, LargeBinary

from evadb.catalog.catalog_type import ColumnType
from evadb.catalog.models.utils import ColumnCatalogEntry
from evadb.utils.logging_manager import logger


class SchemaUtils(object):
    @staticmethod
    def xform_to_sqlalchemy_column(df_column: ColumnCatalogEntry) -> Column:
        column_type = df_column.type

        sqlalchemy_column = None
        if column_type == ColumnType.INTEGER:
            sqlalchemy_column = Column(Integer)
        elif column_type == ColumnType.FLOAT:
            sqlalchemy_column = Column(Float)
        elif column_type == ColumnType.TEXT:
            sqlalchemy_column = Column(TEXT)
        elif column_type == ColumnType.NDARRAY:
            sqlalchemy_column = Column(LargeBinary)
        else:
            msg = "Invalid column type: " + str(column_type)
            logger.error(msg)
            raise NotImplementedError

        return sqlalchemy_column

    @staticmethod
    def xform_to_sqlalchemy_schema(
        column_list: List[ColumnCatalogEntry],
    ) -> Dict[str, Column]:
        """Converts the list of DataFrameColumns to SQLAlchemyColumns

        Args:
            column_list (List[ColumnCatalog]): columns to be converted

        Returns:
            Dict[str, Column]: mapping from column_name to sqlalchemy column object
        """
        return {
            column.name: SchemaUtils.xform_to_sqlalchemy_column(column)
            for column in column_list
        }

1	# coding=utf-8
2	# Copyright 2018-2023 EvaDB
3	#
4	# Licensed under the Apache License, Version 2.0 (the "License");
5	# you may not use this file except in compliance with the License.
6	# You may obtain a copy of the License at
7	#
8	# http://www.apache.org/licenses/LICENSE-2.0
9	#
10	# Unless required by applicable law or agreed to in writing, software
11	# distributed under the License is distributed on an "AS IS" BASIS,
12	# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13	# See the License for the specific language governing permissions and
14	# limitations under the License.
15	from typing import Dict, List	×
16
17	from sqlalchemy import TEXT, Column, Float, Integer, LargeBinary	×
18
19	from evadb.catalog.catalog_type import ColumnType	×
20	from evadb.catalog.models.utils import ColumnCatalogEntry	×
21	from evadb.utils.logging_manager import logger	×
22
23
24	class SchemaUtils(object):	×
25	@staticmethod	×
26	def xform_to_sqlalchemy_column(df_column: ColumnCatalogEntry) -> Column:	×
27	column_type = df_column.type	×
28
29	sqlalchemy_column = None	×
30	if column_type == ColumnType.INTEGER:	×
31	sqlalchemy_column = Column(Integer)	×
32	elif column_type == ColumnType.FLOAT:	×
33	sqlalchemy_column = Column(Float)	×
34	elif column_type == ColumnType.TEXT:	×
35	sqlalchemy_column = Column(TEXT)	×
36	elif column_type == ColumnType.NDARRAY:	×
37	sqlalchemy_column = Column(LargeBinary)	×
38	else:
39	msg = "Invalid column type: " + str(column_type)	×
40	logger.error(msg)	×
41	raise NotImplementedError
42
43	return sqlalchemy_column	×
44
45	@staticmethod	×
46	def xform_to_sqlalchemy_schema(	×
47	column_list: List[ColumnCatalogEntry],
48	) -> Dict[str, Column]:
49	"""Converts the list of DataFrameColumns to SQLAlchemyColumns
50
51	Args:
52	column_list (List[ColumnCatalog]): columns to be converted
53
54	Returns:
55	Dict[str, Column]: mapping from column_name to sqlalchemy column object
56	"""
57	return {	×
58	column.name: SchemaUtils.xform_to_sqlalchemy_column(column)
59	for column in column_list
60	}

georgia-tech-db / eva / #758

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