File size: 1,877 Bytes
4304c6d |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 |
import os
import pytest
from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult
from core.model_runtime.errors.validate import CredentialsValidateFailedError
from core.model_runtime.model_providers.minimax.text_embedding.text_embedding import MinimaxTextEmbeddingModel
def test_validate_credentials():
model = MinimaxTextEmbeddingModel()
with pytest.raises(CredentialsValidateFailedError):
model.validate_credentials(
model='embo-01',
credentials={
'minimax_api_key': 'invalid_key',
'minimax_group_id': os.environ.get('MINIMAX_GROUP_ID')
}
)
model.validate_credentials(
model='embo-01',
credentials={
'minimax_api_key': os.environ.get('MINIMAX_API_KEY'),
'minimax_group_id': os.environ.get('MINIMAX_GROUP_ID')
}
)
def test_invoke_model():
model = MinimaxTextEmbeddingModel()
result = model.invoke(
model='embo-01',
credentials={
'minimax_api_key': os.environ.get('MINIMAX_API_KEY'),
'minimax_group_id': os.environ.get('MINIMAX_GROUP_ID')
},
texts=[
"hello",
"world"
],
user="abc-123"
)
assert isinstance(result, TextEmbeddingResult)
assert len(result.embeddings) == 2
assert result.usage.total_tokens == 16
def test_get_num_tokens():
model = MinimaxTextEmbeddingModel()
num_tokens = model.get_num_tokens(
model='embo-01',
credentials={
'minimax_api_key': os.environ.get('MINIMAX_API_KEY'),
'minimax_group_id': os.environ.get('MINIMAX_GROUP_ID')
},
texts=[
"hello",
"world"
]
)
assert num_tokens == 2
|