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api_app.py 24KB

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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 json
  17. import os
  18. import re
  19. from datetime import datetime, timedelta
  20. from flask import request, Response
  21. from flask_login import login_required, current_user
  22. from api.db import FileType, ParserType, FileSource
  23. from api.db.db_models import APIToken, API4Conversation, Task, File
  24. from api.db.services import duplicate_name
  25. from api.db.services.api_service import APITokenService, API4ConversationService
  26. from api.db.services.dialog_service import DialogService, chat
  27. from api.db.services.document_service import DocumentService
  28. from api.db.services.file2document_service import File2DocumentService
  29. from api.db.services.file_service import FileService
  30. from api.db.services.knowledgebase_service import KnowledgebaseService
  31. from api.db.services.task_service import queue_tasks, TaskService
  32. from api.db.services.user_service import UserTenantService
  33. from api.settings import RetCode, retrievaler
  34. from api.utils import get_uuid, current_timestamp, datetime_format
  35. from api.utils.api_utils import server_error_response, get_data_error_result, get_json_result, validate_request
  36. from itsdangerous import URLSafeTimedSerializer
  37. from api.utils.file_utils import filename_type, thumbnail
  38. from rag.utils.minio_conn import MINIO
  39. def generate_confirmation_token(tenent_id):
  40. serializer = URLSafeTimedSerializer(tenent_id)
  41. return "ragflow-" + serializer.dumps(get_uuid(), salt=tenent_id)[2:34]
  42. @manager.route('/new_token', methods=['POST'])
  43. @validate_request("dialog_id")
  44. @login_required
  45. def new_token():
  46. req = request.json
  47. try:
  48. tenants = UserTenantService.query(user_id=current_user.id)
  49. if not tenants:
  50. return get_data_error_result(retmsg="Tenant not found!")
  51. tenant_id = tenants[0].tenant_id
  52. obj = {"tenant_id": tenant_id, "token": generate_confirmation_token(tenant_id),
  53. "dialog_id": req["dialog_id"],
  54. "create_time": current_timestamp(),
  55. "create_date": datetime_format(datetime.now()),
  56. "update_time": None,
  57. "update_date": None
  58. }
  59. if not APITokenService.save(**obj):
  60. return get_data_error_result(retmsg="Fail to new a dialog!")
  61. return get_json_result(data=obj)
  62. except Exception as e:
  63. return server_error_response(e)
  64. @manager.route('/token_list', methods=['GET'])
  65. @login_required
  66. def token_list():
  67. try:
  68. tenants = UserTenantService.query(user_id=current_user.id)
  69. if not tenants:
  70. return get_data_error_result(retmsg="Tenant not found!")
  71. objs = APITokenService.query(tenant_id=tenants[0].tenant_id, dialog_id=request.args["dialog_id"])
  72. return get_json_result(data=[o.to_dict() for o in objs])
  73. except Exception as e:
  74. return server_error_response(e)
  75. @manager.route('/rm', methods=['POST'])
  76. @validate_request("tokens", "tenant_id")
  77. @login_required
  78. def rm():
  79. req = request.json
  80. try:
  81. for token in req["tokens"]:
  82. APITokenService.filter_delete(
  83. [APIToken.tenant_id == req["tenant_id"], APIToken.token == token])
  84. return get_json_result(data=True)
  85. except Exception as e:
  86. return server_error_response(e)
  87. @manager.route('/stats', methods=['GET'])
  88. @login_required
  89. def stats():
  90. try:
  91. tenants = UserTenantService.query(user_id=current_user.id)
  92. if not tenants:
  93. return get_data_error_result(retmsg="Tenant not found!")
  94. objs = API4ConversationService.stats(
  95. tenants[0].tenant_id,
  96. request.args.get(
  97. "from_date",
  98. (datetime.now() -
  99. timedelta(
  100. days=7)).strftime("%Y-%m-%d 24:00:00")),
  101. request.args.get(
  102. "to_date",
  103. datetime.now().strftime("%Y-%m-%d %H:%M:%S")))
  104. res = {
  105. "pv": [(o["dt"], o["pv"]) for o in objs],
  106. "uv": [(o["dt"], o["uv"]) for o in objs],
  107. "speed": [(o["dt"], float(o["tokens"])/(float(o["duration"]+0.1))) for o in objs],
  108. "tokens": [(o["dt"], float(o["tokens"])/1000.) for o in objs],
  109. "round": [(o["dt"], o["round"]) for o in objs],
  110. "thumb_up": [(o["dt"], o["thumb_up"]) for o in objs]
  111. }
  112. return get_json_result(data=res)
  113. except Exception as e:
  114. return server_error_response(e)
  115. @manager.route('/new_conversation', methods=['GET'])
  116. def set_conversation():
  117. token = request.headers.get('Authorization').split()[1]
  118. objs = APIToken.query(token=token)
  119. if not objs:
  120. return get_json_result(
  121. data=False, retmsg='Token is not valid!"', retcode=RetCode.AUTHENTICATION_ERROR)
  122. req = request.json
  123. try:
  124. e, dia = DialogService.get_by_id(objs[0].dialog_id)
  125. if not e:
  126. return get_data_error_result(retmsg="Dialog not found")
  127. conv = {
  128. "id": get_uuid(),
  129. "dialog_id": dia.id,
  130. "user_id": request.args.get("user_id", ""),
  131. "message": [{"role": "assistant", "content": dia.prompt_config["prologue"]}]
  132. }
  133. API4ConversationService.save(**conv)
  134. e, conv = API4ConversationService.get_by_id(conv["id"])
  135. if not e:
  136. return get_data_error_result(retmsg="Fail to new a conversation!")
  137. conv = conv.to_dict()
  138. return get_json_result(data=conv)
  139. except Exception as e:
  140. return server_error_response(e)
  141. @manager.route('/completion', methods=['POST'])
  142. @validate_request("conversation_id", "messages")
  143. def completion():
  144. token = request.headers.get('Authorization').split()[1]
  145. if not APIToken.query(token=token):
  146. return get_json_result(
  147. data=False, retmsg='Token is not valid!"', retcode=RetCode.AUTHENTICATION_ERROR)
  148. req = request.json
  149. e, conv = API4ConversationService.get_by_id(req["conversation_id"])
  150. if not e:
  151. return get_data_error_result(retmsg="Conversation not found!")
  152. if "quote" not in req: req["quote"] = False
  153. msg = []
  154. for m in req["messages"]:
  155. if m["role"] == "system":
  156. continue
  157. if m["role"] == "assistant" and not msg:
  158. continue
  159. msg.append({"role": m["role"], "content": m["content"]})
  160. try:
  161. conv.message.append(msg[-1])
  162. e, dia = DialogService.get_by_id(conv.dialog_id)
  163. if not e:
  164. return get_data_error_result(retmsg="Dialog not found!")
  165. del req["conversation_id"]
  166. del req["messages"]
  167. if not conv.reference:
  168. conv.reference = []
  169. conv.message.append({"role": "assistant", "content": ""})
  170. conv.reference.append({"chunks": [], "doc_aggs": []})
  171. def fillin_conv(ans):
  172. nonlocal conv
  173. if not conv.reference:
  174. conv.reference.append(ans["reference"])
  175. else: conv.reference[-1] = ans["reference"]
  176. conv.message[-1] = {"role": "assistant", "content": ans["answer"]}
  177. def rename_field(ans):
  178. reference = ans['reference']
  179. if not isinstance(reference, dict):
  180. return
  181. for chunk_i in reference.get('chunks', []):
  182. if 'docnm_kwd' in chunk_i:
  183. chunk_i['doc_name'] = chunk_i['docnm_kwd']
  184. chunk_i.pop('docnm_kwd')
  185. def stream():
  186. nonlocal dia, msg, req, conv
  187. try:
  188. for ans in chat(dia, msg, True, **req):
  189. fillin_conv(ans)
  190. rename_field(ans)
  191. yield "data:" + json.dumps({"retcode": 0, "retmsg": "", "data": ans}, ensure_ascii=False) + "\n\n"
  192. API4ConversationService.append_message(conv.id, conv.to_dict())
  193. except Exception as e:
  194. yield "data:" + json.dumps({"retcode": 500, "retmsg": str(e),
  195. "data": {"answer": "**ERROR**: "+str(e), "reference": []}},
  196. ensure_ascii=False) + "\n\n"
  197. yield "data:"+json.dumps({"retcode": 0, "retmsg": "", "data": True}, ensure_ascii=False) + "\n\n"
  198. if req.get("stream", True):
  199. resp = Response(stream(), mimetype="text/event-stream")
  200. resp.headers.add_header("Cache-control", "no-cache")
  201. resp.headers.add_header("Connection", "keep-alive")
  202. resp.headers.add_header("X-Accel-Buffering", "no")
  203. resp.headers.add_header("Content-Type", "text/event-stream; charset=utf-8")
  204. return resp
  205. else:
  206. answer = None
  207. for ans in chat(dia, msg, **req):
  208. answer = ans
  209. fillin_conv(ans)
  210. API4ConversationService.append_message(conv.id, conv.to_dict())
  211. break
  212. rename_field(answer)
  213. return get_json_result(data=answer)
  214. except Exception as e:
  215. return server_error_response(e)
  216. @manager.route('/conversation/<conversation_id>', methods=['GET'])
  217. # @login_required
  218. def get(conversation_id):
  219. try:
  220. e, conv = API4ConversationService.get_by_id(conversation_id)
  221. if not e:
  222. return get_data_error_result(retmsg="Conversation not found!")
  223. conv = conv.to_dict()
  224. for referenct_i in conv['reference']:
  225. if referenct_i is None or len(referenct_i) == 0:
  226. continue
  227. for chunk_i in referenct_i['chunks']:
  228. if 'docnm_kwd' in chunk_i.keys():
  229. chunk_i['doc_name'] = chunk_i['docnm_kwd']
  230. chunk_i.pop('docnm_kwd')
  231. return get_json_result(data=conv)
  232. except Exception as e:
  233. return server_error_response(e)
  234. @manager.route('/document/upload', methods=['POST'])
  235. @validate_request("kb_name")
  236. def upload():
  237. token = request.headers.get('Authorization').split()[1]
  238. objs = APIToken.query(token=token)
  239. if not objs:
  240. return get_json_result(
  241. data=False, retmsg='Token is not valid!"', retcode=RetCode.AUTHENTICATION_ERROR)
  242. kb_name = request.form.get("kb_name").strip()
  243. tenant_id = objs[0].tenant_id
  244. try:
  245. e, kb = KnowledgebaseService.get_by_name(kb_name, tenant_id)
  246. if not e:
  247. return get_data_error_result(
  248. retmsg="Can't find this knowledgebase!")
  249. kb_id = kb.id
  250. except Exception as e:
  251. return server_error_response(e)
  252. if 'file' not in request.files:
  253. return get_json_result(
  254. data=False, retmsg='No file part!', retcode=RetCode.ARGUMENT_ERROR)
  255. file = request.files['file']
  256. if file.filename == '':
  257. return get_json_result(
  258. data=False, retmsg='No file selected!', retcode=RetCode.ARGUMENT_ERROR)
  259. root_folder = FileService.get_root_folder(tenant_id)
  260. pf_id = root_folder["id"]
  261. FileService.init_knowledgebase_docs(pf_id, tenant_id)
  262. kb_root_folder = FileService.get_kb_folder(tenant_id)
  263. kb_folder = FileService.new_a_file_from_kb(kb.tenant_id, kb.name, kb_root_folder["id"])
  264. try:
  265. if DocumentService.get_doc_count(kb.tenant_id) >= int(os.environ.get('MAX_FILE_NUM_PER_USER', 8192)):
  266. return get_data_error_result(
  267. retmsg="Exceed the maximum file number of a free user!")
  268. filename = duplicate_name(
  269. DocumentService.query,
  270. name=file.filename,
  271. kb_id=kb_id)
  272. filetype = filename_type(filename)
  273. if not filetype:
  274. return get_data_error_result(
  275. retmsg="This type of file has not been supported yet!")
  276. location = filename
  277. while MINIO.obj_exist(kb_id, location):
  278. location += "_"
  279. blob = request.files['file'].read()
  280. MINIO.put(kb_id, location, blob)
  281. doc = {
  282. "id": get_uuid(),
  283. "kb_id": kb.id,
  284. "parser_id": kb.parser_id,
  285. "parser_config": kb.parser_config,
  286. "created_by": kb.tenant_id,
  287. "type": filetype,
  288. "name": filename,
  289. "location": location,
  290. "size": len(blob),
  291. "thumbnail": thumbnail(filename, blob)
  292. }
  293. form_data=request.form
  294. if "parser_id" in form_data.keys():
  295. if request.form.get("parser_id").strip() in list(vars(ParserType).values())[1:-3]:
  296. doc["parser_id"] = request.form.get("parser_id").strip()
  297. if doc["type"] == FileType.VISUAL:
  298. doc["parser_id"] = ParserType.PICTURE.value
  299. if doc["type"] == FileType.AURAL:
  300. doc["parser_id"] = ParserType.AUDIO.value
  301. if re.search(r"\.(ppt|pptx|pages)$", filename):
  302. doc["parser_id"] = ParserType.PRESENTATION.value
  303. doc_result = DocumentService.insert(doc)
  304. FileService.add_file_from_kb(doc, kb_folder["id"], kb.tenant_id)
  305. except Exception as e:
  306. return server_error_response(e)
  307. if "run" in form_data.keys():
  308. if request.form.get("run").strip() == "1":
  309. try:
  310. info = {"run": 1, "progress": 0}
  311. info["progress_msg"] = ""
  312. info["chunk_num"] = 0
  313. info["token_num"] = 0
  314. DocumentService.update_by_id(doc["id"], info)
  315. # if str(req["run"]) == TaskStatus.CANCEL.value:
  316. tenant_id = DocumentService.get_tenant_id(doc["id"])
  317. if not tenant_id:
  318. return get_data_error_result(retmsg="Tenant not found!")
  319. #e, doc = DocumentService.get_by_id(doc["id"])
  320. TaskService.filter_delete([Task.doc_id == doc["id"]])
  321. e, doc = DocumentService.get_by_id(doc["id"])
  322. doc = doc.to_dict()
  323. doc["tenant_id"] = tenant_id
  324. bucket, name = File2DocumentService.get_minio_address(doc_id=doc["id"])
  325. queue_tasks(doc, bucket, name)
  326. except Exception as e:
  327. return server_error_response(e)
  328. return get_json_result(data=doc_result.to_json())
  329. @manager.route('/list_chunks', methods=['POST'])
  330. # @login_required
  331. def list_chunks():
  332. token = request.headers.get('Authorization').split()[1]
  333. objs = APIToken.query(token=token)
  334. if not objs:
  335. return get_json_result(
  336. data=False, retmsg='Token is not valid!"', retcode=RetCode.AUTHENTICATION_ERROR)
  337. req = request.json
  338. try:
  339. if "doc_name" in req.keys():
  340. tenant_id = DocumentService.get_tenant_id_by_name(req['doc_name'])
  341. doc_id = DocumentService.get_doc_id_by_doc_name(req['doc_name'])
  342. elif "doc_id" in req.keys():
  343. tenant_id = DocumentService.get_tenant_id(req['doc_id'])
  344. doc_id = req['doc_id']
  345. else:
  346. return get_json_result(
  347. data=False, retmsg="Can't find doc_name or doc_id"
  348. )
  349. res = retrievaler.chunk_list(doc_id=doc_id, tenant_id=tenant_id)
  350. res = [
  351. {
  352. "content": res_item["content_with_weight"],
  353. "doc_name": res_item["docnm_kwd"],
  354. "img_id": res_item["img_id"]
  355. } for res_item in res
  356. ]
  357. except Exception as e:
  358. return server_error_response(e)
  359. return get_json_result(data=res)
  360. @manager.route('/list_kb_docs', methods=['POST'])
  361. # @login_required
  362. def list_kb_docs():
  363. token = request.headers.get('Authorization').split()[1]
  364. objs = APIToken.query(token=token)
  365. if not objs:
  366. return get_json_result(
  367. data=False, retmsg='Token is not valid!"', retcode=RetCode.AUTHENTICATION_ERROR)
  368. req = request.json
  369. tenant_id = objs[0].tenant_id
  370. kb_name = req.get("kb_name", "").strip()
  371. try:
  372. e, kb = KnowledgebaseService.get_by_name(kb_name, tenant_id)
  373. if not e:
  374. return get_data_error_result(
  375. retmsg="Can't find this knowledgebase!")
  376. kb_id = kb.id
  377. except Exception as e:
  378. return server_error_response(e)
  379. page_number = int(req.get("page", 1))
  380. items_per_page = int(req.get("page_size", 15))
  381. orderby = req.get("orderby", "create_time")
  382. desc = req.get("desc", True)
  383. keywords = req.get("keywords", "")
  384. try:
  385. docs, tol = DocumentService.get_by_kb_id(
  386. kb_id, page_number, items_per_page, orderby, desc, keywords)
  387. docs = [{"doc_id": doc['id'], "doc_name": doc['name']} for doc in docs]
  388. return get_json_result(data={"total": tol, "docs": docs})
  389. except Exception as e:
  390. return server_error_response(e)
  391. @manager.route('/document', methods=['DELETE'])
  392. # @login_required
  393. def document_rm():
  394. token = request.headers.get('Authorization').split()[1]
  395. objs = APIToken.query(token=token)
  396. if not objs:
  397. return get_json_result(
  398. data=False, retmsg='Token is not valid!"', retcode=RetCode.AUTHENTICATION_ERROR)
  399. tenant_id = objs[0].tenant_id
  400. req = request.json
  401. doc_ids = []
  402. try:
  403. doc_ids = [DocumentService.get_doc_id_by_doc_name(doc_name) for doc_name in req.get("doc_names", [])]
  404. for doc_id in req.get("doc_ids", []):
  405. if doc_id not in doc_ids:
  406. doc_ids.append(doc_id)
  407. if not doc_ids:
  408. return get_json_result(
  409. data=False, retmsg="Can't find doc_names or doc_ids"
  410. )
  411. except Exception as e:
  412. return server_error_response(e)
  413. root_folder = FileService.get_root_folder(tenant_id)
  414. pf_id = root_folder["id"]
  415. FileService.init_knowledgebase_docs(pf_id, tenant_id)
  416. errors = ""
  417. for doc_id in doc_ids:
  418. try:
  419. e, doc = DocumentService.get_by_id(doc_id)
  420. if not e:
  421. return get_data_error_result(retmsg="Document not found!")
  422. tenant_id = DocumentService.get_tenant_id(doc_id)
  423. if not tenant_id:
  424. return get_data_error_result(retmsg="Tenant not found!")
  425. b, n = File2DocumentService.get_minio_address(doc_id=doc_id)
  426. if not DocumentService.remove_document(doc, tenant_id):
  427. return get_data_error_result(
  428. retmsg="Database error (Document removal)!")
  429. f2d = File2DocumentService.get_by_document_id(doc_id)
  430. FileService.filter_delete([File.source_type == FileSource.KNOWLEDGEBASE, File.id == f2d[0].file_id])
  431. File2DocumentService.delete_by_document_id(doc_id)
  432. MINIO.rm(b, n)
  433. except Exception as e:
  434. errors += str(e)
  435. if errors:
  436. return get_json_result(data=False, retmsg=errors, retcode=RetCode.SERVER_ERROR)
  437. return get_json_result(data=True)
  438. @manager.route('/completion_aibotk', methods=['POST'])
  439. @validate_request("Authorization", "conversation_id", "word")
  440. def completion_faq():
  441. import base64
  442. req = request.json
  443. token = req["Authorization"]
  444. objs = APIToken.query(token=token)
  445. if not objs:
  446. return get_json_result(
  447. data=False, retmsg='Token is not valid!"', retcode=RetCode.AUTHENTICATION_ERROR)
  448. e, conv = API4ConversationService.get_by_id(req["conversation_id"])
  449. if not e:
  450. return get_data_error_result(retmsg="Conversation not found!")
  451. if "quote" not in req: req["quote"] = True
  452. msg = []
  453. msg.append({"role": "user", "content": req["word"]})
  454. try:
  455. conv.message.append(msg[-1])
  456. e, dia = DialogService.get_by_id(conv.dialog_id)
  457. if not e:
  458. return get_data_error_result(retmsg="Dialog not found!")
  459. del req["conversation_id"]
  460. if not conv.reference:
  461. conv.reference = []
  462. conv.message.append({"role": "assistant", "content": ""})
  463. conv.reference.append({"chunks": [], "doc_aggs": []})
  464. def fillin_conv(ans):
  465. nonlocal conv
  466. if not conv.reference:
  467. conv.reference.append(ans["reference"])
  468. else: conv.reference[-1] = ans["reference"]
  469. conv.message[-1] = {"role": "assistant", "content": ans["answer"]}
  470. data_type_picture = {
  471. "type": 3,
  472. "url": "base64 content"
  473. }
  474. data = [
  475. {
  476. "type": 1,
  477. "content": ""
  478. }
  479. ]
  480. ans = ""
  481. for a in chat(dia, msg, stream=False, **req):
  482. ans = a
  483. break
  484. data[0]["content"] += re.sub(r'##\d\$\$', '', ans["answer"])
  485. fillin_conv(ans)
  486. API4ConversationService.append_message(conv.id, conv.to_dict())
  487. chunk_idxs = [int(match[2]) for match in re.findall(r'##\d\$\$', ans["answer"])]
  488. for chunk_idx in chunk_idxs[:1]:
  489. if ans["reference"]["chunks"][chunk_idx]["img_id"]:
  490. try:
  491. bkt, nm = ans["reference"]["chunks"][chunk_idx]["img_id"].split("-")
  492. response = MINIO.get(bkt, nm)
  493. data_type_picture["url"] = base64.b64encode(response).decode('utf-8')
  494. data.append(data_type_picture)
  495. break
  496. except Exception as e:
  497. return server_error_response(e)
  498. response = {"code": 200, "msg": "success", "data": data}
  499. return response
  500. except Exception as e:
  501. return server_error_response(e)
  502. @manager.route('/retrieval', methods=['POST'])
  503. @validate_request("kb_id", "question")
  504. def retrieval():
  505. token = request.headers.get('Authorization').split()[1]
  506. objs = APIToken.query(token=token)
  507. if not objs:
  508. return get_json_result(
  509. data=False, retmsg='Token is not valid!"', retcode=RetCode.AUTHENTICATION_ERROR)
  510. req = request.json
  511. kb_id = req.get("kb_id")
  512. doc_ids = req.get("doc_ids", [])
  513. question = req.get("question")
  514. page = int(req.get("page", 1))
  515. size = int(req.get("size", 30))
  516. similarity_threshold = float(req.get("similarity_threshold", 0.2))
  517. vector_similarity_weight = float(req.get("vector_similarity_weight", 0.3))
  518. top = int(req.get("top_k", 1024))
  519. try:
  520. e, kb = KnowledgebaseService.get_by_id(kb_id)
  521. if not e:
  522. return get_data_error_result(retmsg="Knowledgebase not found!")
  523. embd_mdl = TenantLLMService.model_instance(
  524. kb.tenant_id, LLMType.EMBEDDING.value, llm_name=kb.embd_id)
  525. rerank_mdl = None
  526. if req.get("rerank_id"):
  527. rerank_mdl = TenantLLMService.model_instance(
  528. kb.tenant_id, LLMType.RERANK.value, llm_name=req["rerank_id"])
  529. if req.get("keyword", False):
  530. chat_mdl = TenantLLMService.model_instance(kb.tenant_id, LLMType.CHAT)
  531. question += keyword_extraction(chat_mdl, question)
  532. ranks = retrievaler.retrieval(question, embd_mdl, kb.tenant_id, [kb_id], page, size,
  533. similarity_threshold, vector_similarity_weight, top,
  534. doc_ids, rerank_mdl=rerank_mdl)
  535. for c in ranks["chunks"]:
  536. if "vector" in c:
  537. del c["vector"]
  538. return get_json_result(data=ranks)
  539. except Exception as e:
  540. if str(e).find("not_found") > 0:
  541. return get_json_result(data=False, retmsg=f'No chunk found! Check the chunk status please!',
  542. retcode=RetCode.DATA_ERROR)
  543. return server_error_response(e)