|
import os |
|
from time import sleep |
|
|
|
from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult |
|
from core.model_runtime.model_providers.wenxin.text_embedding.text_embedding import WenxinTextEmbeddingModel |
|
|
|
|
|
def test_invoke_embedding_v1(): |
|
sleep(3) |
|
model = WenxinTextEmbeddingModel() |
|
|
|
response = model.invoke( |
|
model="embedding-v1", |
|
credentials={"api_key": os.environ.get("WENXIN_API_KEY"), "secret_key": os.environ.get("WENXIN_SECRET_KEY")}, |
|
texts=["hello", "你好", "xxxxx"], |
|
user="abc-123", |
|
) |
|
|
|
assert isinstance(response, TextEmbeddingResult) |
|
assert len(response.embeddings) == 3 |
|
assert isinstance(response.embeddings[0], list) |
|
|
|
|
|
def test_invoke_embedding_bge_large_en(): |
|
sleep(3) |
|
model = WenxinTextEmbeddingModel() |
|
|
|
response = model.invoke( |
|
model="bge-large-en", |
|
credentials={"api_key": os.environ.get("WENXIN_API_KEY"), "secret_key": os.environ.get("WENXIN_SECRET_KEY")}, |
|
texts=["hello", "你好", "xxxxx"], |
|
user="abc-123", |
|
) |
|
|
|
assert isinstance(response, TextEmbeddingResult) |
|
assert len(response.embeddings) == 3 |
|
assert isinstance(response.embeddings[0], list) |
|
|
|
|
|
def test_invoke_embedding_bge_large_zh(): |
|
sleep(3) |
|
model = WenxinTextEmbeddingModel() |
|
|
|
response = model.invoke( |
|
model="bge-large-zh", |
|
credentials={"api_key": os.environ.get("WENXIN_API_KEY"), "secret_key": os.environ.get("WENXIN_SECRET_KEY")}, |
|
texts=["hello", "你好", "xxxxx"], |
|
user="abc-123", |
|
) |
|
|
|
assert isinstance(response, TextEmbeddingResult) |
|
assert len(response.embeddings) == 3 |
|
assert isinstance(response.embeddings[0], list) |
|
|
|
|
|
def test_invoke_embedding_tao_8k(): |
|
sleep(3) |
|
model = WenxinTextEmbeddingModel() |
|
|
|
response = model.invoke( |
|
model="tao-8k", |
|
credentials={"api_key": os.environ.get("WENXIN_API_KEY"), "secret_key": os.environ.get("WENXIN_SECRET_KEY")}, |
|
texts=["hello", "你好", "xxxxx"], |
|
user="abc-123", |
|
) |
|
|
|
assert isinstance(response, TextEmbeddingResult) |
|
assert len(response.embeddings) == 3 |
|
assert isinstance(response.embeddings[0], list) |
|
|