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--bug=1054256 --user=王孝刚 【模型】添加硅基流动的重排序模型失败 https://www.tapd.cn/57709429/s/1679612
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| def compress_documents(self, documents: Sequence[Document], query: str, callbacks: Optional[Callbacks] = None) -> \ | ||
| Sequence[Document]: | ||
| if not documents: |
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The code you provided has a few areas that need addressing:
-
Code Duplication: The
__init__method is defined twice with different parameters (one usesmodel, the other usesapi_key). -
Error Handling for Missing API Base: The error handling in the
__init__method assumes that the missing API base would always cause a value ofNone. This might not work correctly if there are other ways to determine what the missing parameter means. -
Variable Naming Consistency: There seems to be inconsistency between using snake_case (
self.model) and camelCase (self.Modelin another part) for variable names. It's generally recommended to use consistent naming conventions throughout the codebase. -
Type Hinting Issues: While type hints exist, they are mostly limited to function parameters. The types used could be more specific based on expected usage.
Here’s an optimized version of the code with some improvements:
from typing import Any, Dict, List, Optional, Sequence
class YourClass:
MAX_TOP_N = 99 # Example maximum value for top_n
def __new__(cls, model_type=None, model_name='default_model',
model_credential: Dict[str, object] = {}, **kwargs):
return cls.new_instance(
model_type=model_type, model_name=model_name,
model_credential=model_credential, **kwargs
)
@classmethod
def new_instance(cls, model_type, model_name, model_credential: Dict[str, object], **kwargs) -> 'YourClass':
top_n = kwargs.setdefault('top_n', cls.MAX_TOP_N)
instance = super().__new__(cls)
instance.init(model_type, model_name, model_credential, top_n=top_n)
return instance
def init(self, api_base: Optional[str] = None, model: Optional[str] = None, top_n: int = 3,
api_key: Optional[str] = None):
if not api_base:
raise ValueError("Please provide server URL")
if not model:
raise ValueError("Please provide the model name")
if not api_key:
raise ValueError("Please provide the API key")
self.api_base = api_base
self.model = model
self.api_key = api_key
self.top_n = min(top_n, self.MAX_TOP_N)
def compress_documents(self, documents: Sequence[Document], query: str, callbacks: Optional['Callbacks'] = None) -> Sequence[Document]:
"""Compresses a list of documents."""
if not documents:
return []
# Placeholder for document compression logic
compressed_docs = [] # Replace this with actual implementation
for doc in documents:
# Simulate compression process
compressed_docs.append(doc.compress(query))
return compressed_docs[:]Key Changes:
- New Instance Method: Refactored the initialization into a separate classmethod called
new_instance. - Consistent Name Usage: Changed
ModelTypetomodel_typefor consistency. - Default Values: Added default values for
TopNwhich helps reduce duplication. - Typing: Made
max_top_nan explicit property for better readability and type hinting.
This should make the code cleaner and easier to maintain while adhering to best practices for Python coding standards. Let me know if you have any further questions!
fix: siliconCloud rerank error --bug=1054256 --user=王孝刚 【模型】添加硅基流动的重排序模型失败 https://www.tapd.cn/57709429/s/1679612