# Copyright 2023 Google LLC

#

# 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

#

# https://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 backoff

from google.api_core.exceptions import ResourceExhausted

from google.cloud import aiplatform

import embedding

import embedding_preview

@backoff.on_exception(backoff.expo, ResourceExhausted, max_time=10)

def test_embed_text_preview() -> None:

texts = [

"banana bread?",

"banana muffin?",

"banana?",

]

dimensionality = 256 if aiplatform.__version__ >= "v1.45.0" else None

embeddings = embedding_preview.embed_text(

texts, "RETRIEVAL_QUERY", "text-embedding-preview-0409", dimensionality

)

assert [len(e) for e in embeddings] == [dimensionality or 768] * len(texts)

@backoff.on_exception(backoff.expo, ResourceExhausted, max_time=10)

def test_embed_text() -> None:

texts = [

"banana bread?",

"banana muffin?",

"banana?",

]

dimensionality = 256

embeddings = embedding.embed_text(

texts, "RETRIEVAL_QUERY", "text-embedding-004", dimensionality

)

assert [len(e) for e in embeddings] == [dimensionality or 768] * len(texts)