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chore: import upstream snapshot with attribution
2026-07-13 12:37:14 +08:00

62 lines
1.8 KiB
Python

# Copyright 2025 Google LLC.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Compatibility shim for langextract.inference imports."""
from __future__ import annotations
import enum
import warnings
class InferenceType(enum.Enum):
"""Enum for inference types - kept for backward compatibility."""
ITERATIVE = "iterative"
MULTIPROCESS = "multiprocess"
def __getattr__(name: str):
moved = {
"BaseLanguageModel": ("langextract.core.base_model", "BaseLanguageModel"),
"ScoredOutput": ("langextract.core.types", "ScoredOutput"),
"InferenceOutputError": (
"langextract.core.exceptions",
"InferenceOutputError",
),
"GeminiLanguageModel": (
"langextract.providers.gemini",
"GeminiLanguageModel",
),
"OpenAILanguageModel": (
"langextract.providers.openai",
"OpenAILanguageModel",
),
"OllamaLanguageModel": (
"langextract.providers.ollama",
"OllamaLanguageModel",
),
}
if name in moved:
mod, attr = moved[name]
warnings.warn(
f"`langextract.inference.{name}` is deprecated and will be removed in"
f" v2.0.0; use `{mod}.{attr}` instead.",
FutureWarning,
stacklevel=2,
)
module = __import__(mod, fromlist=[attr])
return getattr(module, attr)
raise AttributeError(name)