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feat: application chat #3212

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1eed3a6
feat: add application migrations
shaohuzhang1 Jun 6, 2025
743d2f9
feat: application chat
shaohuzhang1 Jun 9, 2025
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12 changes: 6 additions & 6 deletions apps/application/chat_pipeline/I_base_chat_pipeline.py
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Original file line number Diff line number Diff line change
Expand Up @@ -12,17 +12,17 @@

from rest_framework import serializers

from dataset.models import Paragraph
from knowledge.models import Paragraph


class ParagraphPipelineModel:

def __init__(self, _id: str, document_id: str, dataset_id: str, content: str, title: str, status: str,
def __init__(self, _id: str, document_id: str, knowledge_id: str, content: str, title: str, status: str,
is_active: bool, comprehensive_score: float, similarity: float, dataset_name: str, document_name: str,
hit_handling_method: str, directly_return_similarity: float, meta: dict = None):
self.id = _id
self.document_id = document_id
self.dataset_id = dataset_id
self.knowledge_id = knowledge_id
self.content = content
self.title = title
self.status = status,
Expand All @@ -39,7 +39,7 @@ def to_dict(self):
return {
'id': self.id,
'document_id': self.document_id,
'dataset_id': self.dataset_id,
'knowledge_id': self.knowledge_id,
'content': self.content,
'title': self.title,
'status': self.status,
Expand All @@ -66,7 +66,7 @@ def add_paragraph(self, paragraph):
if isinstance(paragraph, Paragraph):
self.paragraph = {'id': paragraph.id,
'document_id': paragraph.document_id,
'dataset_id': paragraph.dataset_id,
'knowledge_id': paragraph.knowledge_id,
'content': paragraph.content,
'title': paragraph.title,
'status': paragraph.status,
Expand Down Expand Up @@ -106,7 +106,7 @@ def add_meta(self, meta: dict):

def build(self):
return ParagraphPipelineModel(str(self.paragraph.get('id')), str(self.paragraph.get('document_id')),
str(self.paragraph.get('dataset_id')),
str(self.paragraph.get('knowledge_id')),
self.paragraph.get('content'), self.paragraph.get('title'),
self.paragraph.get('status'),
self.paragraph.get('is_active'),
Expand Down
9 changes: 5 additions & 4 deletions apps/application/chat_pipeline/step/chat_step/i_chat_step.py
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Expand Up @@ -44,7 +44,7 @@ class PostResponseHandler:
@abstractmethod
def handler(self, chat_id, chat_record_id, paragraph_list: List[ParagraphPipelineModel], problem_text: str,
answer_text,
manage, step, padding_problem_text: str = None, client_id=None, **kwargs):
manage, step, padding_problem_text: str = None, **kwargs):
pass


Expand All @@ -68,8 +68,9 @@ class InstanceSerializer(serializers.Serializer):
label=_("Completion Question"))
# 是否使用流的形式输出
stream = serializers.BooleanField(required=False, label=_("Streaming Output"))
client_id = serializers.CharField(required=True, label=_("Client id"))
client_type = serializers.CharField(required=True, label=_("Client Type"))
chat_user_id = serializers.CharField(required=True, label=_("Chat user id"))

chat_user_type = serializers.CharField(required=True, label=_("Chat user Type"))
# 未查询到引用分段
no_references_setting = NoReferencesSetting(required=True,
label=_("No reference segment settings"))
Expand Down Expand Up @@ -104,6 +105,6 @@ def execute(self, message_list: List[BaseMessage],
user_id: str = None,
paragraph_list=None,
manage: PipelineManage = None,
padding_problem_text: str = None, stream: bool = True, client_id=None, client_type=None,
padding_problem_text: str = None, stream: bool = True, chat_user_id=None, chat_user_type=None,
no_references_setting=None, model_params_setting=None, model_setting=None, **kwargs):
pass
35 changes: 17 additions & 18 deletions apps/application/chat_pipeline/step/chat_step/impl/base_chat_step.py
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Original file line number Diff line number Diff line change
Expand Up @@ -25,15 +25,16 @@
from application.chat_pipeline.pipeline_manage import PipelineManage
from application.chat_pipeline.step.chat_step.i_chat_step import IChatStep, PostResponseHandler
from application.flow.tools import Reasoning
from application.models.application_api_key import ApplicationPublicAccessClient
from common.constants.authentication_type import AuthenticationType
from application.models import ApplicationChatUserStats, ChatUserType
from models_provider.tools import get_model_instance_by_model_user_id


def add_access_num(client_id=None, client_type=None, application_id=None):
if client_type == AuthenticationType.APPLICATION_ACCESS_TOKEN.value and application_id is not None:
application_public_access_client = (QuerySet(ApplicationPublicAccessClient).filter(client_id=client_id,
application_id=application_id)
def add_access_num(chat_user_id=None, chat_user_type=None, application_id=None):
if [ChatUserType.ANONYMOUS_USER.value, ChatUserType.CHAT_USER.value].__contains__(
chat_user_type) and application_id is not None:
application_public_access_client = (QuerySet(ApplicationChatUserStats).filter(chat_user_id=chat_user_id,
chat_user_type=chat_user_type,
application_id=application_id)
.first())
if application_public_access_client is not None:
application_public_access_client.access_num = application_public_access_client.access_num + 1
Expand Down Expand Up @@ -124,11 +125,9 @@ def event_content(response,
request_token = 0
response_token = 0
write_context(step, manage, request_token, response_token, all_text)
asker = manage.context.get('form_data', {}).get('asker', None)
post_response_handler.handler(chat_id, chat_record_id, paragraph_list, problem_text,
all_text, manage, step, padding_problem_text, client_id,
reasoning_content=reasoning_content if reasoning_content_enable else ''
, asker=asker)
all_text, manage, step, padding_problem_text,
reasoning_content=reasoning_content if reasoning_content_enable else '')
yield manage.get_base_to_response().to_stream_chunk_response(chat_id, str(chat_record_id), 'ai-chat-node',
[], '', True,
request_token, response_token,
Expand All @@ -139,10 +138,8 @@ def event_content(response,
logging.getLogger("max_kb_error").error(f'{str(e)}:{traceback.format_exc()}')
all_text = 'Exception:' + str(e)
write_context(step, manage, 0, 0, all_text)
asker = manage.context.get('form_data', {}).get('asker', None)
post_response_handler.handler(chat_id, chat_record_id, paragraph_list, problem_text,
all_text, manage, step, padding_problem_text, client_id, reasoning_content='',
asker=asker)
all_text, manage, step, padding_problem_text, reasoning_content='')
add_access_num(client_id, client_type, manage.context.get('application_id'))
yield manage.get_base_to_response().to_stream_chunk_response(chat_id, str(chat_record_id), 'ai-chat-node',
[], all_text,
Expand All @@ -165,7 +162,7 @@ def execute(self, message_list: List[BaseMessage],
manage: PipelineManage = None,
padding_problem_text: str = None,
stream: bool = True,
client_id=None, client_type=None,
chat_user_id=None, chat_user_type=None,
no_references_setting=None,
model_params_setting=None,
model_setting=None,
Expand All @@ -175,12 +172,13 @@ def execute(self, message_list: List[BaseMessage],
if stream:
return self.execute_stream(message_list, chat_id, problem_text, post_response_handler, chat_model,
paragraph_list,
manage, padding_problem_text, client_id, client_type, no_references_setting,
manage, padding_problem_text, chat_user_id, chat_user_type,
no_references_setting,
model_setting)
else:
return self.execute_block(message_list, chat_id, problem_text, post_response_handler, chat_model,
paragraph_list,
manage, padding_problem_text, client_id, client_type, no_references_setting,
manage, padding_problem_text, chat_user_id, chat_user_type, no_references_setting,
model_setting)

def get_details(self, manage, **kwargs):
Expand Down Expand Up @@ -235,7 +233,7 @@ def execute_stream(self, message_list: List[BaseMessage],
paragraph_list=None,
manage: PipelineManage = None,
padding_problem_text: str = None,
client_id=None, client_type=None,
chat_user_id=None, chat_user_type=None,
no_references_setting=None,
model_setting=None):
chat_result, is_ai_chat = self.get_stream_result(message_list, chat_model, paragraph_list,
Expand All @@ -244,7 +242,8 @@ def execute_stream(self, message_list: List[BaseMessage],
r = StreamingHttpResponse(
streaming_content=event_content(chat_result, chat_id, chat_record_id, paragraph_list,
post_response_handler, manage, self, chat_model, message_list, problem_text,
padding_problem_text, client_id, client_type, is_ai_chat, model_setting),
padding_problem_text, chat_user_id, chat_user_type, is_ai_chat,
model_setting),
content_type='text/event-stream;charset=utf-8')

r['Cache-Control'] = 'no-cache'
Expand Down
2 changes: 1 addition & 1 deletion ...n/chat_pipeline/step/generate_human_message_step/impl/base_generate_human_message_step.py
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Original file line number Diff line number Diff line change
Expand Up @@ -15,7 +15,7 @@
from application.chat_pipeline.step.generate_human_message_step.i_generate_human_message_step import \
IGenerateHumanMessageStep
from application.models import ChatRecord
from common.util.split_model import flat_map
from common.utils.common import flat_map


class BaseGenerateHumanMessageStep(IGenerateHumanMessageStep):
Expand Down
8 changes: 4 additions & 4 deletions apps/application/chat_pipeline/step/search_dataset_step/i_search_dataset_step.py
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Original file line number Diff line number Diff line change
Expand Up @@ -26,8 +26,8 @@ class InstanceSerializer(serializers.Serializer):
padding_problem_text = serializers.CharField(required=False,
label=_("System completes question text"))
# 需要查询的数据集id列表
dataset_id_list = serializers.ListField(required=True, child=serializers.UUIDField(required=True),
label=_("Dataset id list"))
knowledge_id_list = serializers.ListField(required=True, child=serializers.UUIDField(required=True),
label=_("Dataset id list"))
# 需要排除的文档id
exclude_document_id_list = serializers.ListField(required=True, child=serializers.UUIDField(required=True),
label=_("List of document ids to exclude"))
Expand Down Expand Up @@ -55,7 +55,7 @@ def _run(self, manage: PipelineManage):
self.context['paragraph_list'] = paragraph_list

@abstractmethod
def execute(self, problem_text: str, dataset_id_list: list[str], exclude_document_id_list: list[str],
def execute(self, problem_text: str, knowledge_id_list: list[str], exclude_document_id_list: list[str],
exclude_paragraph_id_list: list[str], top_n: int, similarity: float, padding_problem_text: str = None,
search_mode: str = None,
user_id=None,
Expand All @@ -65,7 +65,7 @@ def execute(self, problem_text: str, dataset_id_list: list[str], exclude_documen
:param similarity: 相关性
:param top_n: 查询多少条
:param problem_text: 用户问题
:param dataset_id_list: 需要查询的数据集id列表
:param knowledge_id_list: 需要查询的数据集id列表
:param exclude_document_id_list: 需要排除的文档id
:param exclude_paragraph_id_list: 需要排除段落id
:param padding_problem_text 补全问题
Expand Down
21 changes: 6 additions & 15 deletions apps/application/chat_pipeline/step/search_dataset_step/impl/base_search_dataset_step.py
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Expand Up @@ -35,42 +35,33 @@ def get_model_by_id(_id, user_id):
return model


def get_embedding_id(dataset_id_list):
<<<<<<< Updated upstream:apps/chat/chat_pipeline/step/search_dataset_step/impl/base_search_dataset_step.py
dataset_list = QuerySet(DataSet).filter(id__in=dataset_id_list)
if len(set([dataset.embedding_model_id for dataset in dataset_list])) > 1:
raise Exception(_("The vector model of the associated knowledge base is inconsistent and the segmentation cannot be recalled."))
if len(dataset_list) == 0:
raise Exception(_("The knowledge base setting is wrong, please reset the knowledge base"))
return dataset_list[0].embedding_model_id
=======
knowledge_list = QuerySet(Knowledge).filter(id__in=dataset_id_list)
def get_embedding_id(knowledge_id_list):
knowledge_list = QuerySet(Knowledge).filter(id__in=knowledge_id_list)
if len(set([knowledge.embedding_mode_id for knowledge in knowledge_list])) > 1:
raise Exception(
_("The vector model of the associated knowledge base is inconsistent and the segmentation cannot be recalled."))
if len(knowledge_list) == 0:
raise Exception(_("The knowledge base setting is wrong, please reset the knowledge base"))
return knowledge_list[0].embedding_mode_id
>>>>>>> Stashed changes:apps/application/chat_pipeline/step/search_dataset_step/impl/base_search_dataset_step.py


class BaseSearchDatasetStep(ISearchDatasetStep):

def execute(self, problem_text: str, dataset_id_list: list[str], exclude_document_id_list: list[str],
def execute(self, problem_text: str, knowledge_id_list: list[str], exclude_document_id_list: list[str],
exclude_paragraph_id_list: list[str], top_n: int, similarity: float, padding_problem_text: str = None,
search_mode: str = None,
user_id=None,
**kwargs) -> List[ParagraphPipelineModel]:
if len(dataset_id_list) == 0:
if len(knowledge_id_list) == 0:
return []
exec_problem_text = padding_problem_text if padding_problem_text is not None else problem_text
model_id = get_embedding_id(dataset_id_list)
model_id = get_embedding_id(knowledge_id_list)
model = get_model_by_id(model_id, user_id)
self.context['model_name'] = model.name
embedding_model = ModelManage.get_model(model_id, lambda _id: get_model(model))
embedding_value = embedding_model.embed_query(exec_problem_text)
vector = VectorStore.get_embedding_vector()
embedding_list = vector.query(exec_problem_text, embedding_value, dataset_id_list, exclude_document_id_list,
embedding_list = vector.query(exec_problem_text, embedding_value, knowledge_id_list, exclude_document_id_list,
exclude_paragraph_id_list, True, top_n, similarity, SearchMode(search_mode))
if embedding_list is None:
return []
Expand Down
24 changes: 12 additions & 12 deletions apps/application/flow/i_step_node.py
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Original file line number Diff line number Diff line change
Expand Up @@ -18,8 +18,8 @@
from rest_framework.exceptions import ValidationError, ErrorDetail

from application.flow.common import Answer, NodeChunk
from application.models import ChatRecord
from application.models import ApplicationChatClientStats
from application.models import ChatRecord, ChatUserType
from application.models import ApplicationChatUserStats
from common.constants.authentication_type import AuthenticationType
from common.field.common import InstanceField

Expand All @@ -45,10 +45,10 @@ def is_interrupt(node, step_variable: Dict, global_variable: Dict):


class WorkFlowPostHandler:
def __init__(self, chat_info, client_id, client_type):
def __init__(self, chat_info, chat_user_id, chat_user_type):
self.chat_info = chat_info
self.client_id = client_id
self.client_type = client_type
self.chat_user_id = chat_user_id
self.chat_user_type = chat_user_type

def handler(self, chat_id,
chat_record_id,
Expand Down Expand Up @@ -84,13 +84,13 @@ def handler(self, chat_id,
run_time=time.time() - workflow.context['start_time'],
index=0)
asker = workflow.context.get('asker', None)
self.chat_info.append_chat_record(chat_record, self.client_id, asker)
# 重新设置缓存
chat_cache.set(chat_id,
self.chat_info, timeout=60 * 30)
if self.client_type == AuthenticationType.APPLICATION_ACCESS_TOKEN.value:
application_public_access_client = (QuerySet(ApplicationChatClientStats)
.filter(client_id=self.client_id,
self.chat_info.append_chat_record(chat_record)
self.chat_info.set_cahce()
if [ChatUserType.ANONYMOUS_USER.value, ChatUserType.CHAT_USER.value].__contains__(
self.chat_user_type):
application_public_access_client = (QuerySet(ApplicationChatUserStats)
.filter(chat_user_id=self.chat_user_id,
chat_user_type=self.chat_user_type,
application_id=self.chat_info.application.id).first())
if application_public_access_client is not None:
application_public_access_client.access_num = application_public_access_client.access_num + 1
Expand Down
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