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Simplify index and model name swap logic (#2188)
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@ -23,7 +23,6 @@ from model_server.constants import DEFAULT_VOYAGE_MODEL
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from model_server.constants import EmbeddingModelTextType
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from model_server.constants import EmbeddingProvider
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from model_server.utils import simple_log_function_time
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from shared_configs.configs import ALT_INDEX_SUFFIX
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from shared_configs.configs import INDEXING_ONLY
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from shared_configs.enums import EmbedTextType
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from shared_configs.enums import RerankerProvider
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@ -250,11 +249,6 @@ def embed_text(
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if not all(texts):
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raise ValueError("Empty strings are not allowed for embedding.")
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# strip additional metadata from model name right before constructing embedding requests
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stripped_model_name = (
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model_name.removesuffix(ALT_INDEX_SUFFIX) if model_name else None
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)
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# Third party API based embedding model
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if not texts:
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raise ValueError("No texts provided for embedding.")
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@ -272,11 +266,11 @@ def embed_text(
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)
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cloud_model = CloudEmbedding(
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api_key=api_key, provider=provider_type, model=stripped_model_name
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api_key=api_key, provider=provider_type, model=model_name
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)
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embeddings = cloud_model.embed(
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texts=texts,
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model_name=stripped_model_name,
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model_name=model_name,
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text_type=text_type,
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)
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@ -287,11 +281,11 @@ def embed_text(
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error_message += "\n".join(texts)
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raise ValueError(error_message)
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elif stripped_model_name is not None:
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elif model_name is not None:
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prefixed_texts = [f"{prefix}{text}" for text in texts] if prefix else texts
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local_model = get_embedding_model(
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model_name=stripped_model_name, max_context_length=max_context_length
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model_name=model_name, max_context_length=max_context_length
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)
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embeddings_vectors = local_model.encode(
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prefixed_texts, normalize_embeddings=normalize_embeddings
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