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53 lines
2 KiB
Python
53 lines
2 KiB
Python
# ========= Copyright 2025-2026 @ Eigent.ai All Rights Reserved. =========
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ========= Copyright 2025-2026 @ Eigent.ai All Rights Reserved. =========
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from pydantic import BaseModel
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from app.model.model_platform import (
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NormalizedModelPlatform,
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NormalizedOptionalModelPlatform,
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normalize_model_platform,
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normalize_optional_model_platform,
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)
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def test_normalize_model_platform_maps_known_aliases():
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assert normalize_model_platform("grok") == "openai-compatible-model"
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assert normalize_model_platform("z.ai") == "zhipu"
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assert normalize_model_platform("ModelArk") == "openai-compatible-model"
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assert normalize_model_platform("ernie") == "qianfan"
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assert normalize_model_platform("llama.cpp") == "openai-compatible-model"
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def test_normalize_model_platform_keeps_non_alias_unchanged():
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assert normalize_model_platform("openai") == "openai"
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assert normalize_model_platform("mistral") == "mistral"
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def test_normalize_optional_model_platform_handles_none():
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assert normalize_optional_model_platform(None) is None
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def test_normalized_model_platform_type_applies_in_pydantic_model():
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class _Model(BaseModel):
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model_platform: NormalizedModelPlatform
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optional_model_platform: NormalizedOptionalModelPlatform = None
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item = _Model(
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model_platform="ernie",
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optional_model_platform="ModelArk",
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)
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assert item.model_platform == "qianfan"
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assert item.optional_model_platform == "openai-compatible-model"
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