ragflow / api /apps /dialog_app.py
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#
# Copyright 2024 The InfiniFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
from flask import request
from flask_login import login_required, current_user
from api.db.services.dialog_service import DialogService
from api.db import StatusEnum
from api.db.services.knowledgebase_service import KnowledgebaseService
from api.db.services.user_service import TenantService
from api.utils.api_utils import server_error_response, get_data_error_result, validate_request
from api.utils import get_uuid
from api.utils.api_utils import get_json_result
@manager.route('/set', methods=['POST'])
@login_required
def set_dialog():
req = request.json
dialog_id = req.get("dialog_id")
name = req.get("name", "New Dialog")
description = req.get("description", "A helpful Dialog")
icon = req.get("icon", "")
top_n = req.get("top_n", 6)
top_k = req.get("top_k", 1024)
rerank_id = req.get("rerank_id", "")
if not rerank_id: req["rerank_id"] = ""
similarity_threshold = req.get("similarity_threshold", 0.1)
vector_similarity_weight = req.get("vector_similarity_weight", 0.3)
if vector_similarity_weight is None: vector_similarity_weight = 0.3
llm_setting = req.get("llm_setting", {})
default_prompt = {
"system": """你是一个智能助手,请总结知识库的内容来回答问题,请列举知识库中的数据详细回答。当所有知识库内容都与问题无关时,你的回答必须包括“知识库中未找到您要的答案!”这句话。回答需要考虑聊天历史。
以下是知识库:
{knowledge}
以上是知识库。""",
"prologue": "您好,我是您的助手小樱,长得可爱又善良,can I help you?",
"parameters": [
{"key": "knowledge", "optional": False}
],
"empty_response": "Sorry! 知识库中未找到相关内容!"
}
prompt_config = req.get("prompt_config", default_prompt)
if not prompt_config["system"]:
prompt_config["system"] = default_prompt["system"]
# if len(prompt_config["parameters"]) < 1:
# prompt_config["parameters"] = default_prompt["parameters"]
# for p in prompt_config["parameters"]:
# if p["key"] == "knowledge":break
# else: prompt_config["parameters"].append(default_prompt["parameters"][0])
for p in prompt_config["parameters"]:
if p["optional"]:
continue
if prompt_config["system"].find("{%s}" % p["key"]) < 0:
return get_data_error_result(
retmsg="Parameter '{}' is not used".format(p["key"]))
try:
e, tenant = TenantService.get_by_id(current_user.id)
if not e:
return get_data_error_result(retmsg="Tenant not found!")
llm_id = req.get("llm_id", tenant.llm_id)
if not dialog_id:
if not req.get("kb_ids"):
return get_data_error_result(
retmsg="Fail! Please select knowledgebase!")
dia = {
"id": get_uuid(),
"tenant_id": current_user.id,
"name": name,
"kb_ids": req["kb_ids"],
"description": description,
"llm_id": llm_id,
"llm_setting": llm_setting,
"prompt_config": prompt_config,
"top_n": top_n,
"top_k": top_k,
"rerank_id": rerank_id,
"similarity_threshold": similarity_threshold,
"vector_similarity_weight": vector_similarity_weight,
"icon": icon
}
if not DialogService.save(**dia):
return get_data_error_result(retmsg="Fail to new a dialog!")
e, dia = DialogService.get_by_id(dia["id"])
if not e:
return get_data_error_result(retmsg="Fail to new a dialog!")
return get_json_result(data=dia.to_json())
else:
del req["dialog_id"]
if "kb_names" in req:
del req["kb_names"]
if not DialogService.update_by_id(dialog_id, req):
return get_data_error_result(retmsg="Dialog not found!")
e, dia = DialogService.get_by_id(dialog_id)
if not e:
return get_data_error_result(retmsg="Fail to update a dialog!")
dia = dia.to_dict()
dia["kb_ids"], dia["kb_names"] = get_kb_names(dia["kb_ids"])
return get_json_result(data=dia)
except Exception as e:
return server_error_response(e)
@manager.route('/get', methods=['GET'])
@login_required
def get():
dialog_id = request.args["dialog_id"]
try:
e, dia = DialogService.get_by_id(dialog_id)
if not e:
return get_data_error_result(retmsg="Dialog not found!")
dia = dia.to_dict()
dia["kb_ids"], dia["kb_names"] = get_kb_names(dia["kb_ids"])
return get_json_result(data=dia)
except Exception as e:
return server_error_response(e)
def get_kb_names(kb_ids):
ids, nms = [], []
for kid in kb_ids:
e, kb = KnowledgebaseService.get_by_id(kid)
if not e or kb.status != StatusEnum.VALID.value:
continue
ids.append(kid)
nms.append(kb.name)
return ids, nms
@manager.route('/list', methods=['GET'])
@login_required
def list_dialogs():
try:
diags = DialogService.query(
tenant_id=current_user.id,
status=StatusEnum.VALID.value,
reverse=True,
order_by=DialogService.model.create_time)
diags = [d.to_dict() for d in diags]
for d in diags:
d["kb_ids"], d["kb_names"] = get_kb_names(d["kb_ids"])
return get_json_result(data=diags)
except Exception as e:
return server_error_response(e)
@manager.route('/rm', methods=['POST'])
@login_required
@validate_request("dialog_ids")
def rm():
req = request.json
try:
DialogService.update_many_by_id(
[{"id": id, "status": StatusEnum.INVALID.value} for id in req["dialog_ids"]])
return get_json_result(data=True)
except Exception as e:
return server_error_response(e)