import json with open('_work_barmodels/chunk_nonpublic.json', 'r', encoding='utf-8') as f: data = json.load(f) items = data[100:150] GOOD = 'GOOD' REV = 'NEEDS_REVISION' # ---- detailed per-item verdicts ---- verdicts = {} # idx 100-103: shape pattern MCQs (image-based, no text answers) for idx in range(100, 104): it = data[idx] verdicts[idx] = (GOOD, 'Shape pattern: options embedded in image. Pattern identification requires image viewing.') # idx 104 (id=1860): 2046 verdicts[104] = (GOOD, '2000 + 40 + 6 = 2046. Answer correct.') # idx 105 (id=1863): 800 verdicts[105] = (GOOD, '8 is the hundreds digit in 839, so it stands for 800. Answer correct.') # idx 106 (id=1895): 10 verdicts[106] = (GOOD, '8000+500+10+2 = 8512. Answer correct.') # idx 107 (id=1899): 1000 verdicts[107] = (GOOD, '1000+500+90 = 1590. Answer correct.') # idx 108 (id=1919): number pattern, answers correct but CI is value not index verdicts[108] = (REV, 'Answers [3999,4000,4001] are correct (+1 each step). BUT correct_index=3999 is the answer VALUE, not an index position. Should be 0. DATA INTEGRITY: correct_index field stores the value rather than the array index.') # idx 109 (id=1920): same CI bug verdicts[109] = (REV, 'Answers [4292,4302,4312] are correct (+10 each step). BUT correct_index=4292 is the answer VALUE, not an index. Should be 0.') # idx 110 (id=1921): same CI bug verdicts[110] = (REV, 'Answers [2954,3054,3154] are correct (+100 each step). BUT correct_index=2954 is the answer VALUE, not an index. Should be 0.') # idx 111 (id=1922): same CI bug verdicts[111] = (REV, 'Answers [7302,8302,9302] are correct (+1000 each step). BUT correct_index=7302 is the answer VALUE, not an index. Should be 0.') # idx 112 (id=1924): 6541 verdicts[112] = (GOOD, 'Digits 5,1,6,4 sorted descending: 6,5,4,1 = 6541. Answer correct.') # idx 113 (id=1932): same CI bug verdicts[113] = (REV, 'Answers [3805,4805,5805] are correct (+1000 each step). BUT correct_index=3805 is the answer VALUE, not an index. Should be 0.') # idx 114 (id=1933): same CI bug verdicts[114] = (REV, 'Answers [3740,3940,4140] are correct (+200 each step). BUT correct_index=3740 is the answer VALUE, not an index. Should be 0.') # idx 115 (id=1937): 99 verdicts[115] = (GOOD, '9900 / 100 = 99 hundreds. Answer correct.') # idx 116 (id=1954): 714 verdicts[116] = (GOOD, 'Digits 4,1,7. Greatest=741, second greatest=714. Answer correct.') # idx 117 (id=1955): 9634 verdicts[117] = (GOOD, 'Digits 9,4,6,3. Greatest=9643, second greatest=9634 (swap last two). Answer correct.') # idx 118 (id=1956): 365 verdicts[118] = (GOOD, 'Digits 6,5,3. Smallest=356, second smallest=365. Answer correct.') # idx 119 (id=1957): 1284 verdicts[119] = (GOOD, 'Digits 8,1,4,2. Smallest=1248, second smallest=1284. Answer correct.') # idx 120 (id=1958): 865 verdicts[120] = (GOOD, 'Pick 3 largest digits from {4,8,5,3,6}: 8,6,5. Arrange descending = 865. Answer correct.') # idx 121 (id=1959): 125 verdicts[121] = (GOOD, 'Pick 3 smallest digits from {5,1,7,9,2}: 1,2,5. Arrange ascending = 125. Answer correct.') # idx 122 (id=1960): 876 verdicts[122] = (GOOD, 'Pick 3 largest digits from {2,7,0,4,8,6}: 8,7,6. Arrange descending = 876. Answer correct.') # idx 123 (id=1961): 134 verdicts[123] = (GOOD, 'Pick 3 smallest digits from {3,5,1,9,4}: 1,3,4. Arrange ascending = 134. Answer correct.') # idx 124 (id=1995): 3085 verdicts[124] = (GOOD, '6018 - 2933 = 3085. Answer correct.') # idx 125 (id=2018): 9 verdicts[125] = (GOOD, '1877 - 929 = 948. Hundreds digit of 948 is 9. Answer correct (index 2).') # idx 126 (id=2040): 9 verdicts[126] = (GOOD, '1811 + 1599 = 3410. Missing digit is 9. Answer correct.') # idx 127 (id=2043): answer 8 is correct, but CI=1 points to None verdicts[127] = (REV, '4123 - 3888 = 235. Missing digit is 8 (answer correct). BUT correct_index=1 while answers[1]=None. correct_index should be 0 to point to the answer at index 0.') # idx 128 (id=2045): 19 verdicts[128] = (GOOD, '28 - 9 = 19. Answer correct.') # idx 129 (id=2046): 205 verdicts[129] = (GOOD, '300 - 95 = 205. Answer correct.') # idx 130 (id=2047): 33 verdicts[130] = (GOOD, '15 + 18 = 33. Answer correct.') # idx 131 (id=2048): 74 verdicts[131] = (GOOD, '160 - 86 = 74. Answer correct.') # idx 132 (id=2049): 105 verdicts[132] = (GOOD, '30 + 75 = 105. Answer correct.') # idx 133 (id=2051): 80 verdicts[133] = (GOOD, '550 - 470 = 80. Answer correct.') # idx 134 (id=2055): 6 verdicts[134] = (GOOD, '35 - 29 = 6 kg. Answer correct.') # idx 135 (id=2056): 16 verdicts[135] = (GOOD, '61 - 45 = 16. Answer correct.') # idx 136 (id=2060): 325 verdicts[136] = (GOOD, '415 - 90 = 325 children. Answer correct.') # idx 137 (id=2077): model 4, image-based verdicts[137] = (GOOD, 'Bar model: book=12, CD=12+7=19. Model 4 should show two bars. Visual verification required.') # idx 138 (id=2079): model 2, image-based verdicts[138] = (GOOD, 'Bar model: goats=27, ducks=27+23=50. Model 2 should show two bars. Visual verification required.') # idx 139 (id=2093): 6500 verdicts[139] = (GOOD, 'Sunday = 2980+540 = 3520. Total = 2980+3520 = 6500. Answer correct.') # idx 140 (id=2094): 5230 verdicts[140] = (GOOD, 'Betty = 2300+630 = 2930. Total = 2300+2930 = 5230. Answer correct.') # idx 141 (id=2095): 450 verdicts[141] = (GOOD, 'Derrick = 3260-1405 = 1855. Diff = 1855-1405 = 450. Answer correct.') # idx 142 (id=2096): 1100 verdicts[142] = (GOOD, 'Sun = 5000-1950 = 3050. Diff = 3050-1950 = 1100. Answer correct.') # idx 143 (id=2101): 54 verdicts[143] = (GOOD, 'Tom = 35+8 = 43. Fred = 43+11 = 54. Answer correct.') # idx 144 (id=2102): 29 verdicts[144] = (GOOD, 'Second = 43-5 = 38. Third = 38-9 = 29. Answer correct.') # idx 145 (id=2104): 1051 verdicts[145] = (GOOD, 'Computer = 2000-650-299 = 1051. Answer correct.') # idx 146 (id=2105): 900 verdicts[146] = (GOOD, 'Spent = 1250+950 = 2200. Left = 3100-2200 = 900. Answer correct.') # idx 147 (id=2122): 63 verdicts[147] = (GOOD, '9 x 7 = 63. Answer correct.') # idx 148 (id=2123): 72 verdicts[148] = (GOOD, '8 x 9 = 72. Answer correct.') # idx 149 (id=2125): 72 verdicts[149] = (GOOD, '9 x 8 = 72. Answer correct.') # ---- Build output ---- items_output = [] for idx in range(100, 150): it = data[idx] v, note = verdicts[idx] img = it.get('question_image', '') or '' items_output.append({ 'index': idx, 'id': it['id'], 'type': it['type'], 'image': img, 'question': it['question'], 'answers': it['answers'], 'correct_index': it['correct_index'], 'verdict': v, 'notes': note }) good_count = sum(1 for i in items_output if i['verdict'] == GOOD) rev_count = sum(1 for i in items_output if i['verdict'] == REV) output = { 'range': '100-149', 'total': len(items_output), 'good': good_count, 'needs_revision': rev_count, 'items': items_output } outpath = '_work_barmodels/audit_r7/r7_g100.json' with open(outpath, 'w', encoding='utf-8') as f: json.dump(output, f, indent=2, ensure_ascii=False) print(f'Written: {good_count} GOOD, {rev_count} NEEDS_REVISION, {len(items_output)} total') print(f'GOOD IDs: {[i["id"] for i in items_output if i["verdict"]==GOOD]}') print(f'NEEDS_REVISION IDs: {[i["id"] for i in items_output if i["verdict"]==REV]}')