k jSrSSKrSSKrSSKrSSKrSSKrSSKrSSKJr SSKJ r SSK J r SSK J r SSKJr Sr"S S 5r"S S 5rS r\S:XaSr\R*"\"55 gg)z generate_mcq_doc.py =================== MCQ generation module for DOC/DOCX document formats. Generates MCQs from FAISS embeddings created during DOC/DOCX training. N)tqdm)OllamaEmbeddings)FAISS)PromptTemplate) ChatOllamac[SS9nSUSUS3n[RRU5(az[R"U5Vs/sHoDR S5(dMUPM nnU(a%[ R"X2SS9n[S U35 U$[S US 35 g[S US US 35 gs snf)z:Load FAISS embeddings for a specific client and reference.znomic-embed-text)modelzmy_embeddings//z /merged_faiss)z.faissz.pklT)allow_dangerous_deserializationz[DOC] Embeddings loaded from z"[DOC] No embedding files found in .z([DOC] No embeddings found for client_id=z, reference_id=N) rospathisdirlistdirendswithr load_localprint) client_id reference_id embeddings reference_dirfembedding_filesvectorss H/var/www/eduai.edurigo.com/question_generate/testing/generate_mcq_doc.pyload_all_embeddingsrs!(:;J$YKqmLM ww}}]##&(jj&?b&?::N`Ca1&?b &&}bfgG 1-A BN 6}oQG H  8 ?S_R``abc cs C,Cc<\rSrSrSrSrSrSrSrSr Sr S r g ) QuestionHistory&z>$.. ) ) $..#.!ffhnn.G7>3tzz'23CE/. u /. u '' u  s0CAB( C( B?2C?CC#"C#c0[R"[RRUR5SS9 [ URS5n[ R"[UR5U5 SSS5 g!,(df  g=f)NT)exist_okw) r makedirsrdirnamer!r+r/dumplistr#)r$rs rsaveQuestionHistory.save6sT BGGOODNN3dC $..# &! IId4>>*A .' & &s +B Bc:URRU5 gN)r#addr$questions rr?QuestionHistory.add;s 8$r'cXR;$r>)r#r@s r __contains__QuestionHistory.__contains__>s>>))r'c,[UR5$r>)lenr#)r$s r__len__QuestionHistory.__len__As4>>""r')r!r#N) __name__ __module__ __qualname____firstlineno____doc__r%r"r;r?rDrH__static_attributes__r'rrr&s#F%/ %*#r'rc$\rSrSrSrSrSrSrg) RateLimiterEz%Async rate limiter for LLM API calls.c*XlX l/Ulgr> max_requestsperiodrequests)r$rVrWs rr%RateLimiter.__init__Gs(  r'c# [R"5nURVs/sHo!U- UR:dMUPM snUl[UR5UR:aBURXRS- - nUS:a[ R "U5IShvN URR[R"55 gs snfN87f)Nr)timerXrWrGrVasynciosleepappend)r$nowreq sleep_times rwaitRateLimiter.waitLsiik(, Q sT[[9P Q t}} !2!2 2mmA.>(>?JA~mmJ/// TYY[) R0s#$C)C"C"A(C).C'/9C)rUN)rJrKrLrMrNr%rbrOrPr'rrRrREs/ *r'rRc^^^^^# [X5nU(d/S4$[X5mUR5n[SSS9m[ SS/SS9m[ R "S [ R5m/nS n[S S S 9mUUUUU4Sjn[USS9n [R"5S-n [U5U:Ga3[R"5U :GaU[U5- n [U S5n S[R"S S53n URU 5nUHn[U5U:a OUR nU"UX|5IShvN nUHZn[U5U:dMUST;dMUR#U5 TR%US5 US - nU R'S 5 M\ [U5U:dM O [U5U:a[R"5U :aGM[U5U:a[+S[U5SUS35 SSS5 TR-5 U[T54$N![(an[+SU35 SnAGMBSnAff=f!,(df  NT=f7f)z0Generate MCQs from DOC/DOCX document embeddings.rzhttp://127.0.0.1:11434z gemma3:12b)base_urlr context num_questionsa3 {context} Generate {num_questions} multiple-choice questions based on the provided context. Each question should include one correct answer and three plausible but incorrect options. Follow the format below: Q: A) B) C) D) Correct: Guidelines: Ensure questions are clear, relevant, and focused on key details from the context. Phrase questions concisely to avoid ambiguity. Avoid questions like "in this document" or "in this code" or "in given document" unless accompanied by specific, relevant information. Make incorrect options (distractors) credible and similar in structure or content to the correct answer, encouraging thoughtful selection. )input_variablestemplatezFQ: (.+?)\nA\) (.+?)\nB\) (.+?)\nC\) (.+?)\nD\) (.+?)\nCorrect: ([A-D])<)rVrWc ># TR5IShvN TRXS9nT RU5IShvN n/nTRUR5HnUR 5upxppUR 5nUT;dM/URU[U5-UUR 5U R 5U R 5U R 5S.U S.5 M U$NN7f)N)rfrg)ABCD)numberrAoptionscorrect_answer) rbformatainvokefinditerr2groupsr-r^rG)rf start_number batch_sizepromptresponser#matchrAoption_aoption_boption_coption_dcorrect_letterllm mcq_regex mcq_templatequestion_history rate_limiters rprocess_context)generate_mcq_doc..process_context~s!!!$$W$OV,, ''(8(89EOT||~ LHH~~'H//  *S^; (%-^^%5HNNA)rNr rr/r\rr[rlangchain_ollamar langchain_community.vectorstoresrlangchain_core.promptsrrrrrRrrJrrunrPr'rrsq  -21'"##>**"W't z>  KKr'