Download api/tests/integration_tests/model_runtime/minimax/test_embedding.py from zhzabcd/dify-run: direct link, hf CLI and curl.
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https://huggingface.co/spaces/zhzabcd/dify-run/resolve/main/api/tests/integration_tests/model_runtime/minimax/test_embedding.py
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curl -L -o test_embedding.py https://huggingface.co/spaces/zhzabcd/dify-run/resolve/main/api/tests/integration_tests/model_runtime/minimax/test_embedding.py
1.71 kB
| 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 | |