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refactor: webserver chat delete temperature, max_new_tokens

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This commit is contained in:
aries_ckt 2023-07-03 15:03:23 +08:00
parent 9137e413b6
commit 8baa1d9464
3 changed files with 11 additions and 16 deletions
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14
pilot/embedding_engine/source_embedding.py
View File

@ -33,9 +33,6 @@ class SourceEmbedding(ABC):
self.vector_store_config = vector_store_config
self.embedding_args = embedding_args
self.embeddings = vector_store_config["embeddings"]
self.vector_client = VectorStoreConnector(
CFG.VECTOR_STORE_TYPE, vector_store_config
)
@abstractmethod
@register
@ -59,11 +56,17 @@ class SourceEmbedding(ABC):
@register
def index_to_store(self, docs):
"""index to vector store"""
return self.vector_client.load_document(docs)
self.vector_client = VectorStoreConnector(
CFG.VECTOR_STORE_TYPE, self.vector_store_config
)
self.vector_client.load_document(docs)
@register
def similar_search(self, doc, topk):
"""vector store similarity_search"""
self.vector_client = VectorStoreConnector(
CFG.VECTOR_STORE_TYPE, self.vector_store_config
)
try:
ans = self.vector_client.similar_search(doc, topk)
except NotEnoughElementsException:
@ -71,6 +74,9 @@ class SourceEmbedding(ABC):
return ans
def vector_name_exist(self):
self.vector_client = VectorStoreConnector(
CFG.VECTOR_STORE_TYPE, self.vector_store_config
)
return self.vector_client.vector_name_exists()
def source_embedding(self):

12
pilot/server/webserver.py
View File

@ -297,39 +297,29 @@ def http_bot(
if ChatScene.ChatWithDbExecute == scene:
chat_param = {
"temperature": temperature,
"max_new_tokens": max_new_tokens,
"chat_session_id": state.conv_id,
"db_name": db_selector,
"user_input": state.last_user_input,
}
elif ChatScene.ChatWithDbQA == scene:
chat_param = {
"temperature": temperature,
"max_new_tokens": max_new_tokens,
"chat_session_id": state.conv_id,
"db_name": db_selector,
"user_input": state.last_user_input,
}
elif ChatScene.ChatExecution == scene:
chat_param = {
"temperature": temperature,
"max_new_tokens": max_new_tokens,
"chat_session_id": state.conv_id,
"plugin_selector": plugin_selector,
"user_input": state.last_user_input,
}
elif ChatScene.ChatNormal == scene:
chat_param = {
"temperature": temperature,
"max_new_tokens": max_new_tokens,
"chat_session_id": state.conv_id,
"user_input": state.last_user_input,
}
elif ChatScene.ChatDefaultKnowledge == scene:
chat_param = {
"temperature": temperature,
"max_new_tokens": max_new_tokens,
"chat_session_id": state.conv_id,
"user_input": state.last_user_input,
}
@ -341,8 +331,6 @@ def http_bot(
}
elif ChatScene.ChatUrlKnowledge == scene:
chat_param = {
"temperature": temperature,
"max_new_tokens": max_new_tokens,
"chat_session_id": state.conv_id,
"user_input": state.last_user_input,
"url": url_input,

1
tools/knowledge_init.py
View File

@ -49,6 +49,7 @@ class LocalKnowledgeInit:
space = KnowledgeSpaceRequest
space.name = self.vector_store_config["vector_store_name"]
space.desc = "knowledge_init.py"
space.vector_type = CFG.VECTOR_STORE_TYPE
space.owner = "DB-GPT"
knowledge_space_service.create_knowledge_space(space)