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remove：移除无用代码

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This commit is contained in:
SengokuCola
2025-09-29 21:24:23 +08:00
parent a3390f6cba
commit d519406e4a
5 changed files with 40 additions and 771 deletions
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19
src/chat/express/expression_learner.py
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@@ -248,8 +248,6 @@ class ExpressionLearner:
style,
_context,
_context_words,
_full_context,
_full_context_embedding,
) in learnt_expressions:
learnt_expressions_str += f"{situation}->{style}\n"
@@ -263,8 +261,6 @@ class ExpressionLearner:
style,
context,
context_words,
full_context,
full_context_embedding,
) in learnt_expressions:
if chat_id not in chat_dict:
chat_dict[chat_id] = []
@@ -274,8 +270,6 @@ class ExpressionLearner:
"style": style,
"context": context,
"context_words": context_words,
"full_context": full_context,
"full_context_embedding": full_context_embedding,
}
)
@@ -299,8 +293,6 @@ class ExpressionLearner:
expr_obj.style = new_expr["style"]
expr_obj.context = new_expr["context"]
expr_obj.context_words = new_expr["context_words"]
expr_obj.full_context = new_expr["full_context"]
expr_obj.full_context_embedding = new_expr["full_context_embedding"]
expr_obj.count = expr_obj.count + 1
expr_obj.last_active_time = current_time
expr_obj.save()
@@ -315,8 +307,6 @@ class ExpressionLearner:
create_date=current_time, # 手动设置创建日期
context=new_expr["context"],
context_words=new_expr["context_words"],
full_context=new_expr["full_context"],
full_context_embedding=new_expr["full_context_embedding"],
)
# 限制最大数量
exprs = list(
@@ -428,7 +418,7 @@ class ExpressionLearner:
async def learn_expression(
self, num: int = 10
) -> Optional[List[Tuple[str, str, str, List[str], str, List[float]]]]:
) -> Optional[List[Tuple[str, str, str, List[str]]]]:
"""从指定聊天流学习表达方式
Args:
@@ -482,19 +472,14 @@ class ExpressionLearner:
)
split_matched_expressions_w_emb = []
full_context_embedding: List[float] = await self.get_full_context_embedding(random_msg_match_str)
for situation, style, context, context_words in split_matched_expressions:
split_matched_expressions_w_emb.append(
(self.chat_id, situation, style, context, context_words, random_msg_match_str, full_context_embedding)
(self.chat_id, situation, style, context, context_words)
)
return split_matched_expressions_w_emb
async def get_full_context_embedding(self, context: str) -> List[float]:
embedding, _ = await self.embedding_model.get_embedding(context)
return embedding
def split_expression_context(
self, matched_expressions: List[Tuple[str, str, str]]
) -> List[Tuple[str, str, str, List[str]]]: