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session.py 22KB

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  1. #
  2. # Copyright 2024 The InfiniFlow Authors. All Rights Reserved.
  3. #
  4. # Licensed under the Apache License, Version 2.0 (the "License");
  5. # you may not use this file except in compliance with the License.
  6. # You may obtain a copy of the License at
  7. #
  8. # http://www.apache.org/licenses/LICENSE-2.0
  9. #
  10. # Unless required by applicable law or agreed to in writing, software
  11. # distributed under the License is distributed on an "AS IS" BASIS,
  12. # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  13. # See the License for the specific language governing permissions and
  14. # limitations under the License.
  15. #
  16. import re
  17. import json
  18. from functools import partial
  19. from uuid import uuid4
  20. from api.db import LLMType
  21. from flask import request, Response
  22. from api.db.services.dialog_service import ask
  23. from agent.canvas import Canvas
  24. from api.db import StatusEnum
  25. from api.db.db_models import API4Conversation
  26. from api.db.services.api_service import API4ConversationService
  27. from api.db.services.canvas_service import UserCanvasService
  28. from api.db.services.dialog_service import DialogService, ConversationService, chat
  29. from api.db.services.knowledgebase_service import KnowledgebaseService
  30. from api.utils import get_uuid
  31. from api.utils.api_utils import get_error_data_result
  32. from api.utils.api_utils import get_result, token_required
  33. from api.db.services.llm_service import LLMBundle
  34. @manager.route('/chats/<chat_id>/sessions', methods=['POST'])
  35. @token_required
  36. def create(tenant_id,chat_id):
  37. req = request.json
  38. req["dialog_id"] = chat_id
  39. dia = DialogService.query(tenant_id=tenant_id, id=req["dialog_id"], status=StatusEnum.VALID.value)
  40. if not dia:
  41. return get_error_data_result(message="You do not own the assistant.")
  42. conv = {
  43. "id": get_uuid(),
  44. "dialog_id": req["dialog_id"],
  45. "name": req.get("name", "New session"),
  46. "message": [{"role": "assistant", "content": "Hi! I am your assistant,can I help you?"}]
  47. }
  48. if not conv.get("name"):
  49. return get_error_data_result(message="`name` can not be empty.")
  50. ConversationService.save(**conv)
  51. e, conv = ConversationService.get_by_id(conv["id"])
  52. if not e:
  53. return get_error_data_result(message="Fail to create a session!")
  54. conv = conv.to_dict()
  55. conv['messages'] = conv.pop("message")
  56. conv["chat_id"] = conv.pop("dialog_id")
  57. del conv["reference"]
  58. return get_result(data=conv)
  59. @manager.route('/agents/<agent_id>/sessions', methods=['POST'])
  60. @token_required
  61. def create_agent_session(tenant_id, agent_id):
  62. req = request.json
  63. e, cvs = UserCanvasService.get_by_id(agent_id)
  64. if not e:
  65. return get_error_data_result("Agent not found.")
  66. if cvs.user_id != tenant_id:
  67. return get_error_data_result(message="You do not own the agent.")
  68. if not isinstance(cvs.dsl, str):
  69. cvs.dsl = json.dumps(cvs.dsl, ensure_ascii=False)
  70. canvas = Canvas(cvs.dsl, tenant_id)
  71. conv = {
  72. "id": get_uuid(),
  73. "dialog_id": cvs.id,
  74. "user_id": req.get("usr_id","") if isinstance(req, dict) else "",
  75. "message": [{"role": "assistant", "content": canvas.get_prologue()}],
  76. "source": "agent"
  77. }
  78. API4ConversationService.save(**conv)
  79. conv["agent_id"] = conv.pop("dialog_id")
  80. return get_result(data=conv)
  81. @manager.route('/chats/<chat_id>/sessions/<session_id>', methods=['PUT'])
  82. @token_required
  83. def update(tenant_id,chat_id,session_id):
  84. req = request.json
  85. req["dialog_id"] = chat_id
  86. conv_id = session_id
  87. conv = ConversationService.query(id=conv_id,dialog_id=chat_id)
  88. if not conv:
  89. return get_error_data_result(message="Session does not exist")
  90. if not DialogService.query(id=chat_id, tenant_id=tenant_id, status=StatusEnum.VALID.value):
  91. return get_error_data_result(message="You do not own the session")
  92. if "message" in req or "messages" in req:
  93. return get_error_data_result(message="`message` can not be change")
  94. if "reference" in req:
  95. return get_error_data_result(message="`reference` can not be change")
  96. if "name" in req and not req.get("name"):
  97. return get_error_data_result(message="`name` can not be empty.")
  98. if not ConversationService.update_by_id(conv_id, req):
  99. return get_error_data_result(message="Session updates error")
  100. return get_result()
  101. @manager.route('/chats/<chat_id>/completions', methods=['POST'])
  102. @token_required
  103. def completion(tenant_id, chat_id):
  104. req = request.json
  105. if not req.get("session_id"):
  106. conv = {
  107. "id": get_uuid(),
  108. "dialog_id": chat_id,
  109. "name": req.get("name", "New session"),
  110. "message": [{"role": "assistant", "content": "Hi! I am your assistant,can I help you?"}]
  111. }
  112. if not conv.get("name"):
  113. return get_error_data_result(message="`name` can not be empty.")
  114. ConversationService.save(**conv)
  115. e, conv = ConversationService.get_by_id(conv["id"])
  116. session_id=conv.id
  117. else:
  118. session_id = req.get("session_id")
  119. if not req.get("question"):
  120. return get_error_data_result(message="Please input your question.")
  121. conv = ConversationService.query(id=session_id,dialog_id=chat_id)
  122. if not conv:
  123. return get_error_data_result(message="Session does not exist")
  124. conv = conv[0]
  125. if not DialogService.query(id=chat_id, tenant_id=tenant_id, status=StatusEnum.VALID.value):
  126. return get_error_data_result(message="You do not own the chat")
  127. msg = []
  128. question = {
  129. "content": req.get("question"),
  130. "role": "user",
  131. "id": str(uuid4())
  132. }
  133. conv.message.append(question)
  134. for m in conv.message:
  135. if m["role"] == "system": continue
  136. if m["role"] == "assistant" and not msg: continue
  137. msg.append(m)
  138. message_id = msg[-1].get("id")
  139. e, dia = DialogService.get_by_id(conv.dialog_id)
  140. if not conv.reference:
  141. conv.reference = []
  142. conv.message.append({"role": "assistant", "content": "", "id": message_id})
  143. conv.reference.append({"chunks": [], "doc_aggs": []})
  144. def fillin_conv(ans):
  145. reference = ans["reference"]
  146. if "chunks" in reference:
  147. chunks = reference.get("chunks")
  148. chunk_list = []
  149. for chunk in chunks:
  150. new_chunk = {
  151. "id": chunk["chunk_id"],
  152. "content": chunk["content_with_weight"],
  153. "document_id": chunk["doc_id"],
  154. "document_name": chunk["docnm_kwd"],
  155. "dataset_id": chunk["kb_id"],
  156. "image_id": chunk.get("img_id", ""),
  157. "similarity": chunk["similarity"],
  158. "vector_similarity": chunk["vector_similarity"],
  159. "term_similarity": chunk["term_similarity"],
  160. "positions": chunk.get("positions", []),
  161. }
  162. chunk_list.append(new_chunk)
  163. reference["chunks"] = chunk_list
  164. nonlocal conv, message_id
  165. if not conv.reference:
  166. conv.reference.append(ans["reference"])
  167. else:
  168. conv.reference[-1] = ans["reference"]
  169. conv.message[-1] = {"role": "assistant", "content": ans["answer"],
  170. "id": message_id, "prompt": ans.get("prompt", "")}
  171. ans["id"] = message_id
  172. ans["session_id"]=session_id
  173. def stream():
  174. nonlocal dia, msg, req, conv
  175. try:
  176. for ans in chat(dia, msg, **req):
  177. fillin_conv(ans)
  178. yield "data:" + json.dumps({"code": 0, "data": ans}, ensure_ascii=False) + "\n\n"
  179. ConversationService.update_by_id(conv.id, conv.to_dict())
  180. except Exception as e:
  181. yield "data:" + json.dumps({"code": 500, "message": str(e),
  182. "data": {"answer": "**ERROR**: " + str(e),"reference": []}},
  183. ensure_ascii=False) + "\n\n"
  184. yield "data:" + json.dumps({"code": 0, "data": True}, ensure_ascii=False) + "\n\n"
  185. if req.get("stream", True):
  186. resp = Response(stream(), mimetype="text/event-stream")
  187. resp.headers.add_header("Cache-control", "no-cache")
  188. resp.headers.add_header("Connection", "keep-alive")
  189. resp.headers.add_header("X-Accel-Buffering", "no")
  190. resp.headers.add_header("Content-Type", "text/event-stream; charset=utf-8")
  191. return resp
  192. else:
  193. answer = None
  194. for ans in chat(dia, msg, **req):
  195. answer = ans
  196. fillin_conv(ans)
  197. ConversationService.update_by_id(conv.id, conv.to_dict())
  198. break
  199. return get_result(data=answer)
  200. @manager.route('/agents/<agent_id>/completions', methods=['POST'])
  201. @token_required
  202. def agent_completion(tenant_id, agent_id):
  203. req = request.json
  204. e, cvs = UserCanvasService.get_by_id(agent_id)
  205. if not e:
  206. return get_error_data_result("Agent not found.")
  207. if cvs.user_id != tenant_id:
  208. return get_error_data_result(message="You do not own the agent.")
  209. if not isinstance(cvs.dsl, str):
  210. cvs.dsl = json.dumps(cvs.dsl, ensure_ascii=False)
  211. canvas = Canvas(cvs.dsl, tenant_id)
  212. if not req.get("session_id"):
  213. session_id = get_uuid()
  214. conv = {
  215. "id": session_id,
  216. "dialog_id": cvs.id,
  217. "user_id": req.get("user_id",""),
  218. "message": [{"role": "assistant", "content": canvas.get_prologue()}],
  219. "source": "agent"
  220. }
  221. API4ConversationService.save(**conv)
  222. conv = API4Conversation(**conv)
  223. else:
  224. session_id = req.get("session_id")
  225. e, conv = API4ConversationService.get_by_id(req["session_id"])
  226. if not e:
  227. return get_error_data_result(message="Session not found!")
  228. messages = conv.message
  229. question = req.get("question")
  230. if not question:
  231. return get_error_data_result("`question` is required.")
  232. question={
  233. "role":"user",
  234. "content":question,
  235. "id": str(uuid4())
  236. }
  237. messages.append(question)
  238. msg = []
  239. for m in messages:
  240. if m["role"] == "system":
  241. continue
  242. if m["role"] == "assistant" and not msg:
  243. continue
  244. msg.append(m)
  245. if not msg[-1].get("id"): msg[-1]["id"] = get_uuid()
  246. message_id = msg[-1]["id"]
  247. if "quote" not in req: req["quote"] = False
  248. stream = req.get("stream", True)
  249. def fillin_conv(ans):
  250. reference = ans["reference"]
  251. if "chunks" in reference:
  252. chunks = reference.get("chunks")
  253. chunk_list = []
  254. for chunk in chunks:
  255. new_chunk = {
  256. "id": chunk["chunk_id"],
  257. "content": chunk["content_with_weight"],
  258. "document_id": chunk["doc_id"],
  259. "document_name": chunk["docnm_kwd"],
  260. "dataset_id": chunk["kb_id"],
  261. "image_id": chunk["img_id"],
  262. "similarity": chunk["similarity"],
  263. "vector_similarity": chunk["vector_similarity"],
  264. "term_similarity": chunk["term_similarity"],
  265. "positions": chunk["positions"],
  266. }
  267. chunk_list.append(new_chunk)
  268. reference["chunks"] = chunk_list
  269. nonlocal conv, message_id
  270. if not conv.reference:
  271. conv.reference.append(ans["reference"])
  272. else:
  273. conv.reference[-1] = ans["reference"]
  274. conv.message[-1] = {"role": "assistant", "content": ans["answer"], "id": message_id}
  275. ans["id"] = message_id
  276. ans["session_id"] = session_id
  277. def rename_field(ans):
  278. reference = ans['reference']
  279. if not isinstance(reference, dict):
  280. return
  281. for chunk_i in reference.get('chunks', []):
  282. if 'docnm_kwd' in chunk_i:
  283. chunk_i['doc_name'] = chunk_i['docnm_kwd']
  284. chunk_i.pop('docnm_kwd')
  285. conv.message.append(msg[-1])
  286. if not conv.reference:
  287. conv.reference = []
  288. conv.message.append({"role": "assistant", "content": "", "id": message_id})
  289. conv.reference.append({"chunks": [], "doc_aggs": []})
  290. final_ans = {"reference": [], "content": ""}
  291. canvas.messages.append(msg[-1])
  292. canvas.add_user_input(msg[-1]["content"])
  293. if stream:
  294. def sse():
  295. nonlocal answer, cvs
  296. try:
  297. for ans in canvas.run(stream=True):
  298. if ans.get("running_status"):
  299. yield "data:" + json.dumps({"code": 0, "message": "",
  300. "data": {"answer": ans["content"],
  301. "running_status": True}},
  302. ensure_ascii=False) + "\n\n"
  303. continue
  304. for k in ans.keys():
  305. final_ans[k] = ans[k]
  306. ans = {"answer": ans["content"], "reference": ans.get("reference", [])}
  307. fillin_conv(ans)
  308. rename_field(ans)
  309. yield "data:" + json.dumps({"code": 0, "message": "", "data": ans},
  310. ensure_ascii=False) + "\n\n"
  311. canvas.messages.append({"role": "assistant", "content": final_ans["content"], "id": message_id})
  312. canvas.history.append(("assistant", final_ans["content"]))
  313. if final_ans.get("reference"):
  314. canvas.reference.append(final_ans["reference"])
  315. cvs.dsl = json.loads(str(canvas))
  316. API4ConversationService.append_message(conv.id, conv.to_dict())
  317. except Exception as e:
  318. cvs.dsl = json.loads(str(canvas))
  319. API4ConversationService.append_message(conv.id, conv.to_dict())
  320. yield "data:" + json.dumps({"code": 500, "message": str(e),
  321. "data": {"answer": "**ERROR**: " + str(e), "reference": []}},
  322. ensure_ascii=False) + "\n\n"
  323. yield "data:" + json.dumps({"code": 0, "message": "", "data": True}, ensure_ascii=False) + "\n\n"
  324. resp = Response(sse(), mimetype="text/event-stream")
  325. resp.headers.add_header("Cache-control", "no-cache")
  326. resp.headers.add_header("Connection", "keep-alive")
  327. resp.headers.add_header("X-Accel-Buffering", "no")
  328. resp.headers.add_header("Content-Type", "text/event-stream; charset=utf-8")
  329. return resp
  330. for answer in canvas.run(stream=False):
  331. if answer.get("running_status"): continue
  332. final_ans["content"] = "\n".join(answer["content"]) if "content" in answer else ""
  333. canvas.messages.append({"role": "assistant", "content": final_ans["content"], "id": message_id})
  334. if final_ans.get("reference"):
  335. canvas.reference.append(final_ans["reference"])
  336. cvs.dsl = json.loads(str(canvas))
  337. result = {"answer": final_ans["content"], "reference": final_ans.get("reference", [])}
  338. fillin_conv(result)
  339. API4ConversationService.append_message(conv.id, conv.to_dict())
  340. rename_field(result)
  341. return get_result(data=result)
  342. @manager.route('/chats/<chat_id>/sessions', methods=['GET'])
  343. @token_required
  344. def list_session(chat_id,tenant_id):
  345. if not DialogService.query(tenant_id=tenant_id, id=chat_id, status=StatusEnum.VALID.value):
  346. return get_error_data_result(message=f"You don't own the assistant {chat_id}.")
  347. id = request.args.get("id")
  348. name = request.args.get("name")
  349. page_number = int(request.args.get("page", 1))
  350. items_per_page = int(request.args.get("page_size", 30))
  351. orderby = request.args.get("orderby", "create_time")
  352. if request.args.get("desc") == "False" or request.args.get("desc") == "false":
  353. desc = False
  354. else:
  355. desc = True
  356. convs = ConversationService.get_list(chat_id,page_number,items_per_page,orderby,desc,id,name)
  357. if not convs:
  358. return get_result(data=[])
  359. for conv in convs:
  360. conv['messages'] = conv.pop("message")
  361. infos = conv["messages"]
  362. for info in infos:
  363. if "prompt" in info:
  364. info.pop("prompt")
  365. conv["chat_id"] = conv.pop("dialog_id")
  366. if conv["reference"]:
  367. messages = conv["messages"]
  368. message_num = 0
  369. chunk_num = 0
  370. while message_num < len(messages):
  371. if message_num != 0 and messages[message_num]["role"] != "user":
  372. chunk_list = []
  373. if "chunks" in conv["reference"][chunk_num]:
  374. chunks = conv["reference"][chunk_num]["chunks"]
  375. for chunk in chunks:
  376. new_chunk = {
  377. "id": chunk["chunk_id"],
  378. "content": chunk["content_with_weight"],
  379. "document_id": chunk["doc_id"],
  380. "document_name": chunk["docnm_kwd"],
  381. "dataset_id": chunk["kb_id"],
  382. "image_id": chunk["image_id"],
  383. "similarity": chunk["similarity"],
  384. "vector_similarity": chunk["vector_similarity"],
  385. "term_similarity": chunk["term_similarity"],
  386. "positions": chunk["positions"],
  387. }
  388. chunk_list.append(new_chunk)
  389. chunk_num += 1
  390. messages[message_num]["reference"] = chunk_list
  391. message_num += 1
  392. del conv["reference"]
  393. return get_result(data=convs)
  394. @manager.route('/chats/<chat_id>/sessions', methods=["DELETE"])
  395. @token_required
  396. def delete(tenant_id,chat_id):
  397. if not DialogService.query(id=chat_id, tenant_id=tenant_id, status=StatusEnum.VALID.value):
  398. return get_error_data_result(message="You don't own the chat")
  399. req = request.json
  400. convs = ConversationService.query(dialog_id=chat_id)
  401. if not req:
  402. ids = None
  403. else:
  404. ids=req.get("ids")
  405. if not ids:
  406. conv_list = []
  407. for conv in convs:
  408. conv_list.append(conv.id)
  409. else:
  410. conv_list=ids
  411. for id in conv_list:
  412. conv = ConversationService.query(id=id,dialog_id=chat_id)
  413. if not conv:
  414. return get_error_data_result(message="The chat doesn't own the session")
  415. ConversationService.delete_by_id(id)
  416. return get_result()
  417. @manager.route('/sessions/ask', methods=['POST'])
  418. @token_required
  419. def ask_about(tenant_id):
  420. req = request.json
  421. if not req.get("question"):
  422. return get_error_data_result("`question` is required.")
  423. if not req.get("dataset_ids"):
  424. return get_error_data_result("`dataset_ids` is required.")
  425. if not isinstance(req.get("dataset_ids"),list):
  426. return get_error_data_result("`dataset_ids` should be a list.")
  427. req["kb_ids"]=req.pop("dataset_ids")
  428. for kb_id in req["kb_ids"]:
  429. if not KnowledgebaseService.accessible(kb_id,tenant_id):
  430. return get_error_data_result(f"You don't own the dataset {kb_id}.")
  431. kbs = KnowledgebaseService.query(id=kb_id)
  432. kb = kbs[0]
  433. if kb.chunk_num == 0:
  434. return get_error_data_result(f"The dataset {kb_id} doesn't own parsed file")
  435. uid = tenant_id
  436. def stream():
  437. nonlocal req, uid
  438. try:
  439. for ans in ask(req["question"], req["kb_ids"], uid):
  440. yield "data:" + json.dumps({"code": 0, "message": "", "data": ans}, ensure_ascii=False) + "\n\n"
  441. except Exception as e:
  442. yield "data:" + json.dumps({"code": 500, "message": str(e),
  443. "data": {"answer": "**ERROR**: " + str(e), "reference": []}},
  444. ensure_ascii=False) + "\n\n"
  445. yield "data:" + json.dumps({"code": 0, "message": "", "data": True}, ensure_ascii=False) + "\n\n"
  446. resp = Response(stream(), mimetype="text/event-stream")
  447. resp.headers.add_header("Cache-control", "no-cache")
  448. resp.headers.add_header("Connection", "keep-alive")
  449. resp.headers.add_header("X-Accel-Buffering", "no")
  450. resp.headers.add_header("Content-Type", "text/event-stream; charset=utf-8")
  451. return resp
  452. @manager.route('/sessions/related_questions', methods=['POST'])
  453. @token_required
  454. def related_questions(tenant_id):
  455. req = request.json
  456. if not req.get("question"):
  457. return get_error_data_result("`question` is required.")
  458. question = req["question"]
  459. chat_mdl = LLMBundle(tenant_id, LLMType.CHAT)
  460. prompt = """
  461. Objective: To generate search terms related to the user's search keywords, helping users find more valuable information.
  462. Instructions:
  463. - Based on the keywords provided by the user, generate 5-10 related search terms.
  464. - Each search term should be directly or indirectly related to the keyword, guiding the user to find more valuable information.
  465. - Use common, general terms as much as possible, avoiding obscure words or technical jargon.
  466. - Keep the term length between 2-4 words, concise and clear.
  467. - DO NOT translate, use the language of the original keywords.
  468. ### Example:
  469. Keywords: Chinese football
  470. Related search terms:
  471. 1. Current status of Chinese football
  472. 2. Reform of Chinese football
  473. 3. Youth training of Chinese football
  474. 4. Chinese football in the Asian Cup
  475. 5. Chinese football in the World Cup
  476. Reason:
  477. - When searching, users often only use one or two keywords, making it difficult to fully express their information needs.
  478. - Generating related search terms can help users dig deeper into relevant information and improve search efficiency.
  479. - At the same time, related terms can also help search engines better understand user needs and return more accurate search results.
  480. """
  481. ans = chat_mdl.chat(prompt, [{"role": "user", "content": f"""
  482. Keywords: {question}
  483. Related search terms:
  484. """}], {"temperature": 0.9})
  485. return get_result(data=[re.sub(r"^[0-9]\. ", "", a) for a in ans.split("\n") if re.match(r"^[0-9]\. ", a)])