ragflow / api /db /services /canvas_service.py
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Update the component of the agent API with parameters. (#4131)
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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.
#
import json
import traceback
from uuid import uuid4
from agent.canvas import Canvas
from api.db.db_models import DB, CanvasTemplate, UserCanvas, API4Conversation
from api.db.services.api_service import API4ConversationService
from api.db.services.common_service import CommonService
from api.db.services.conversation_service import structure_answer
from api.utils import get_uuid
class CanvasTemplateService(CommonService):
model = CanvasTemplate
class UserCanvasService(CommonService):
model = UserCanvas
@classmethod
@DB.connection_context()
def get_list(cls, tenant_id,
page_number, items_per_page, orderby, desc, id, title):
agents = cls.model.select()
if id:
agents = agents.where(cls.model.id == id)
if title:
agents = agents.where(cls.model.title == title)
agents = agents.where(cls.model.user_id == tenant_id)
if desc:
agents = agents.order_by(cls.model.getter_by(orderby).desc())
else:
agents = agents.order_by(cls.model.getter_by(orderby).asc())
agents = agents.paginate(page_number, items_per_page)
return list(agents.dicts())
def completion(tenant_id, agent_id, question, session_id=None, stream=True, **kwargs):
e, cvs = UserCanvasService.get_by_id(agent_id)
assert e, "Agent not found."
assert cvs.user_id == tenant_id, "You do not own the agent."
if not isinstance(cvs.dsl,str):
cvs.dsl = json.dumps(cvs.dsl, ensure_ascii=False)
canvas = Canvas(cvs.dsl, tenant_id)
canvas.reset()
message_id = str(uuid4())
if not session_id:
query = canvas.get_preset_param()
if query:
for ele in query:
if not ele["optional"]:
if not kwargs.get(ele["key"]):
assert False, f"`{ele['key']}` is required"
ele["value"] = kwargs[ele["key"]]
if ele["optional"]:
if kwargs.get(ele["key"]):
ele["value"] = kwargs[ele['key']]
else:
if "value" in ele:
ele.pop("value")
cvs.dsl = json.loads(str(canvas))
session_id=get_uuid()
conv = {
"id": session_id,
"dialog_id": cvs.id,
"user_id": kwargs.get("usr_id", "") if isinstance(kwargs, dict) else "",
"message": [{"role": "assistant", "content": canvas.get_prologue()}],
"source": "agent",
"dsl": cvs.dsl
}
API4ConversationService.save(**conv)
if query:
yield "data:" + json.dumps({"code": 0,
"message": "",
"data": {
"session_id": session_id,
"answer": canvas.get_prologue(),
"reference": [],
"param": canvas.get_preset_param()
}
},
ensure_ascii=False) + "\n\n"
yield "data:" + json.dumps({"code": 0, "message": "", "data": True}, ensure_ascii=False) + "\n\n"
return
else:
conv = API4Conversation(**conv)
else:
e, conv = API4ConversationService.get_by_id(session_id)
assert e, "Session not found!"
canvas = Canvas(json.dumps(conv.dsl), tenant_id)
canvas.messages.append({"role": "user", "content": question, "id": message_id})
canvas.add_user_input(question)
if not conv.message:
conv.message = []
conv.message.append({
"role": "user",
"content": question,
"id": message_id
})
if not conv.reference:
conv.reference = []
conv.reference.append({"chunks": [], "doc_aggs": []})
final_ans = {"reference": [], "content": ""}
if stream:
try:
for ans in canvas.run(stream=stream):
if ans.get("running_status"):
yield "data:" + json.dumps({"code": 0, "message": "",
"data": {"answer": ans["content"],
"running_status": True}},
ensure_ascii=False) + "\n\n"
continue
for k in ans.keys():
final_ans[k] = ans[k]
ans = {"answer": ans["content"], "reference": ans.get("reference", [])}
ans = structure_answer(conv, ans, message_id, session_id)
yield "data:" + json.dumps({"code": 0, "message": "", "data": ans},
ensure_ascii=False) + "\n\n"
canvas.messages.append({"role": "assistant", "content": final_ans["content"], "id": message_id})
canvas.history.append(("assistant", final_ans["content"]))
if final_ans.get("reference"):
canvas.reference.append(final_ans["reference"])
conv.dsl = json.loads(str(canvas))
API4ConversationService.append_message(conv.id, conv.to_dict())
except Exception as e:
traceback.print_exc()
conv.dsl = json.loads(str(canvas))
API4ConversationService.append_message(conv.id, conv.to_dict())
yield "data:" + json.dumps({"code": 500, "message": str(e),
"data": {"answer": "**ERROR**: " + str(e), "reference": []}},
ensure_ascii=False) + "\n\n"
yield "data:" + json.dumps({"code": 0, "message": "", "data": True}, ensure_ascii=False) + "\n\n"
else:
for answer in canvas.run(stream=False):
if answer.get("running_status"):
continue
final_ans["content"] = "\n".join(answer["content"]) if "content" in answer else ""
canvas.messages.append({"role": "assistant", "content": final_ans["content"], "id": message_id})
if final_ans.get("reference"):
canvas.reference.append(final_ans["reference"])
conv.dsl = json.loads(str(canvas))
result = {"answer": final_ans["content"], "reference": final_ans.get("reference", [])}
result = structure_answer(conv, result, message_id, session_id)
API4ConversationService.append_message(conv.id, conv.to_dict())
yield result
break