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chore(pre-commit): add pre-commit hook to enforce llama_stack logger usage (#3061)
# What does this PR do? This PR adds a step in pre-commit to enforce using `llama_stack` logger. Currently, various parts of the code base uses different loggers. As a custom `llama_stack` logger exist and used in the codebase, it is better to standardize its utilization. Signed-off-by: Mustafa Elbehery <melbeher@redhat.com> Co-authored-by: Matthew Farrellee <matt@cs.wisc.edu>
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57 changed files with 148 additions and 122 deletions
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@ -5,10 +5,11 @@
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# the root directory of this source tree.
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import base64
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import logging
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import struct
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from typing import TYPE_CHECKING
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from llama_stack.log import get_logger
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if TYPE_CHECKING:
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from sentence_transformers import SentenceTransformer
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@ -27,7 +28,7 @@ from llama_stack.providers.utils.inference.prompt_adapter import interleaved_con
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EMBEDDING_MODELS = {}
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log = logging.getLogger(__name__)
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log = get_logger(name=__name__, category="inference")
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class SentenceTransformerEmbeddingMixin:
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@ -5,7 +5,6 @@
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# the root directory of this source tree.
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import base64
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import json
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import logging
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import struct
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import time
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import uuid
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@ -122,6 +121,7 @@ from llama_stack.apis.inference import (
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from llama_stack.apis.inference import (
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OpenAIChoice as OpenAIChatCompletionChoice,
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)
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from llama_stack.log import get_logger
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from llama_stack.models.llama.datatypes import (
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BuiltinTool,
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StopReason,
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@ -134,7 +134,7 @@ from llama_stack.providers.utils.inference.prompt_adapter import (
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decode_assistant_message,
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)
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logger = logging.getLogger(__name__)
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logger = get_logger(name=__name__, category="inference")
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class OpenAICompatCompletionChoiceDelta(BaseModel):
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