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base_test.py
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130 lines (110 loc) · 4.49 KB
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#
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You 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.
import unittest
from apache_beam.ml.rag.embeddings.base import create_text_adapter
from apache_beam.ml.rag.types import Chunk
from apache_beam.ml.rag.types import Content
from apache_beam.ml.rag.types import EmbeddableItem
from apache_beam.ml.rag.types import Embedding
class RAGBaseEmbeddingsTest(unittest.TestCase):
def setUp(self):
self.test_chunks = [
Chunk(
content=Content(text="This is a test sentence."),
id="1",
metadata={
"source": "test.txt", "language": "en"
}),
Chunk(
content=Content(text="Another example."),
id="2",
metadata={
"source": "test2.txt", "language": "en"
})
]
def test_adapter_input_conversion(self):
"""Test the RAG type adapter converts correctly."""
adapter = create_text_adapter()
# Test input conversion
texts = adapter.input_fn(self.test_chunks)
self.assertEqual(texts, ["This is a test sentence.", "Another example."])
def test_adapter_input_conversion_missing_text_content(self):
"""Test the RAG type adapter converts correctly."""
adapter = create_text_adapter()
# Test input conversion
with self.assertRaisesRegex(ValueError, "Expected text content"):
adapter.input_fn([
Chunk(
content=Content(),
id="1",
metadata={
"source": "test.txt", "language": "en"
})
])
def test_adapter_output_conversion(self):
"""Test the RAG type adapter converts correctly."""
# Test output conversion
mock_embeddings = [[0.1, 0.2, 0.3], [0.4, 0.5, 0.6]]
# Expected outputs
expected = [
Chunk(
id="1",
embedding=Embedding(dense_embedding=[0.1, 0.2, 0.3]),
metadata={
'source': 'test.txt', 'language': 'en'
},
content=Content(text='This is a test sentence.')),
Chunk(
id="2",
embedding=Embedding(dense_embedding=[0.4, 0.5, 0.6]),
metadata={
'source': 'test2.txt', 'language': 'en'
},
content=Content(text='Another example.')),
]
adapter = create_text_adapter()
embeddings = adapter.output_fn(self.test_chunks, mock_embeddings)
self.assertListEqual(embeddings, expected)
class ImageEmbeddableItemTest(unittest.TestCase):
def test_from_image_str(self):
item = EmbeddableItem.from_image('gs://bucket/img.jpg', id='img1')
self.assertEqual(item.content.image, 'gs://bucket/img.jpg')
self.assertIsNone(item.content.text)
self.assertEqual(item.id, 'img1')
def test_from_image_bytes(self):
data = b'\x89PNG\r\n'
item = EmbeddableItem.from_image(data, id='img2')
self.assertEqual(item.content.image, data)
self.assertIsNone(item.content.text)
def test_from_image_with_metadata(self):
item = EmbeddableItem.from_image(
'path/to/img.jpg', id='img3', metadata={'source': 'camera'})
self.assertEqual(item.metadata, {'source': 'camera'})
self.assertEqual(item.content.image, 'path/to/img.jpg')
class ContentStringTest(unittest.TestCase):
def test_text_content(self):
item = EmbeddableItem(content=Content(text="hello"), id="1")
self.assertEqual(item.content_string, "hello")
def test_image_uri_content(self):
item = EmbeddableItem.from_image('gs://bucket/img.jpg', id='img1')
self.assertEqual(item.content_string, 'gs://bucket/img.jpg')
def test_image_bytes_raises(self):
item = EmbeddableItem.from_image(b'\x89PNG\r\n', id='img2')
with self.assertRaisesRegex(ValueError,
"EmbeddableItem does not contain.*"):
item.content_string
if __name__ == '__main__':
unittest.main()