""" 最终修复:P1/P3/P4/P5 的能力标签+解析,使用直接 curl(tempfile 入参,无 shell 转义风险) """ import json, subprocess cred_file = '/root/.openclaw/credentials/xiaoyan/config.json' with open(cred_file) as f: cfg = json.load(f) app_id = cfg['apps'][0]['appId'] app_secret = cfg['apps'][0]['appSecret'] body = json.dumps({'app_id': app_id, 'app_secret': app_secret}) r = subprocess.run(f"curl -s -X POST 'https://open.feishu.cn/open-apis/auth/v3/tenant_access_token/internal' -H 'Content-Type: application/json' -d '{body}'", shell=True, capture_output=True, text=True, timeout=10) token = json.loads(r.stdout)['tenant_access_token'] APP_TOKEN = 'CMHSbUUjka3TrUsaxxEc297ongf' def fetch(tid): r = subprocess.run(f"curl -s -X GET 'https://open.feishu.cn/open-apis/bitable/v1/apps/{APP_TOKEN}/tables/{tid}/records?page_size=500' -H 'Authorization: Bearer {token}'", shell=True, capture_output=True, text=True, timeout=15) return json.loads(r.stdout) def update(tid, rid, fields): tmpfile = '/tmp/bitable_fix.json' with open(tmpfile, 'w') as f: json.dump({"fields": fields}, f, ensure_ascii=False) r = subprocess.run(f"curl -s -X PUT 'https://open.feishu.cn/open-apis/bitable/v1/apps/{APP_TOKEN}/tables/{tid}/records/{rid}' -H 'Authorization: Bearer {token}' -H 'Content-Type: application/json' -d @{tmpfile}", shell=True, capture_output=True, text=True, timeout=15) return json.loads(r.stdout) # ============ P1 032501 ============ data = fetch('tblCgfYDnnqwLfgH') for item in data['data']['items']: if item['record_id'] == 'recvjt0HzBBhYu' and item['fields'].get('题目集合 ID','') == '032501': jd = json.loads(item['fields']['jsonData']) for q in jd['first']['questionSet']: ab = [{'信息定位与提取':'扫读定位|信息匹配','细节理解':'细节理解|事实信息提取'}.get(a,a) for a in q['ability']] q['ability'] = ab resp = update('tblCgfYDnnqwLfgH', 'recvjt0HzBBhYu', {'jsonData': json.dumps(jd, ensure_ascii=False)}) print(f"P1 032501: {'✅' if resp.get('code')==0 else '❌'+str(resp.get('msg',''))}") # ============ P3 032601 ============ data = fetch('tbl4q0ZUV3HB54t1') for item in data['data']['items']: if item['record_id'] == 'recvjug1hWz2oG': jd = json.loads(item['fields']['jsonData']) TAG = { '信息定位':'扫读定位|信息匹配','细节理解':'细节理解|事实信息提取', '因果推断':'推理判断|原因/结果','主旨归纳':'主旨理解|段落/文本大意', '推理判断':'推理判断|原因/结果', } # Also fix any corrupted tags by looking at original context # Q0: what did they plan → 细节理解|事实信息提取 # Q1: why late → 推理判断|原因/结果 # Q2: what did they do → 细节理解|事实信息提取 # Q3: what was favorite → 细节理解|事实信息提取 # Q4: what lesson → 主旨理解|段落/文本大意 CORRECT = [ ['扫读定位|信息匹配', '细节理解|事实信息提取'], ['扫读定位|信息匹配', '推理判断|原因/结果'], ['扫读定位|信息匹配', '细节理解|事实信息提取'], ['扫读定位|信息匹配', '细节理解|事实信息提取'], ['主旨理解|段落/文本大意', '推理判断|原因/结果'], ] for qi, q in enumerate(jd['first']['questionSet']): q['ability'] = CORRECT[qi] resp = update('tbl4q0ZUV3HB54t1', 'recvjug1hWz2oG', {'jsonData': json.dumps(jd, ensure_ascii=False)}) print(f"P3 032601: {'✅' if resp.get('code')==0 else '❌'+str(resp.get('msg',''))}") # ============ P4 032701 & 032801 ============ EXPL_032701 = [ "空白处需要表示赚钱的名词。get some cash 是地道表达,cash(现金)最符合学生售卖手链的情境。cheque(支票)语义过正式,bracelet(手链)是销售的商品而非获取的目标。考查名词在语境中的最佳语义选择。", "修饰可数名词bracelets应用many(许多)。much修饰不可数名词,only(只有)在此处语义不流畅,不符合带了一些手链去给朋友看的语境。考查可数名词数量修饰词的语法规则。", "表语位置需形容词。They were very popular(它们很受欢迎)才是完整句子。cash和sell均非形容词,不能直接作表语。考查词性辨别和上下文语义连贯。", "students是可数名词复数,需用many修饰表示很多学生。much用于不可数名词,only在so many结构后不合适。考查可数名词数量表达。", "bracelets是可数名词复数,需用many表示数量。didn't have many bracelets表示手链不够多,与后文promised to make more呼应。考查上下文逻辑与可数名词修饰。", "空白处需动词作谓语。She could sell a few(她能卖出几条)中sell是唯一动词。cheque和popular均为非动词。考查句子主干成分(谓语动词)的语法识别。", ] EXPL_032801 = [ "根据后文a local band was playing music和it was very noisy,可推断是一场派对。party最能描述这种热闹场景,car和sleep与乐队演奏、噪音等语境不符。考查名词的语境语义选择。", "I tried to sleep, but the sound was too loud——噪音太大导致睡不着,sleep是最合理的选择。drive和sing都偏离语境。考查动词的语义逻辑匹配。", "描述派对参与者身份,adult people(成年人)与午夜派对的情境相符,也为后文decided to be more understanding提供合理性。考查修饰词的语境判断。", "The party went on until midnight——派对持续到午夜是最符合逻辑的时间终点。morning和afternoon时间太早,不符合嘈杂派对的情境。考查时间名词的合理推断。", "前后分句存在转折关系:I was annoyed because I couldn't rest, but then I remembered...。but引导转折,because表示原因,so表示结果。考查连词的逻辑关系。", "此处需引导原因的连词。because the band members cleaned up解释为什么第二天心情好转。although表示让步,until表示时间。考查原因连词的选择。", ] data = fetch('tblzKVm1FEukPgnN') for sid, rid, expls in [('032701','recvjueHm15HPu',EXPL_032701),('032801','recvjueN5QT1c5',EXPL_032801)]: for item in data['data']['items']: if item['record_id'] == rid: jd = json.loads(item['fields']['jsonData']) t1 = item['fields'].get('题目1','') or '' for qi, q in enumerate(jd['first']['questionSet']): q['ability'] = ['语法结构识别|完形填空'] q['explanation'] = expls[qi] # Build 题目1 with explanations if '【解析】' not in t1: t1_lines = [f"{qi+1}. {expls[qi]}" for qi in range(len(expls))] t1_new = t1 + '\n\n【解析】\n' + '\n'.join(t1_lines) else: t1_new = t1 update_fields = { 'jsonData': json.dumps(jd, ensure_ascii=False), '题目1': t1_new, } resp = update('tblzKVm1FEukPgnN', rid, update_fields) print(f"P4 {sid}: {'✅' if resp.get('code')==0 else '❌'+str(resp.get('msg',''))}") # ============ P5 032901 ============ EXPL_032901_first = [ "前后是因果关系:去野生动物园是因为想看小象。because引导原因状语从句最合适。but表示转折,so表示结果,均不符合语义。考查原因连词。", "had just been born是被动语态,表示刚刚出生。born是bear的过去分词,与a few weeks ago的时间状语呼应。grow up(长大)和top(顶端)语义不通。考查词义辨析与被动语态。", "reach the top of a tall tree——大象想够到高树的顶端。top表示顶部位置,与tall tree形成语义对应。bottom与reach矛盾,nose不是位置。考查方位词的选择。", "大象的长鼻子是标志性特征。nose是正确选项,banana和bottom明显不符。考查动物特征相关的核心词汇。", "could only touch the bottom——虽然用长鼻子去够,但只碰到了底部。bottom与top形成对比,体现够不到的落差感。考查反义词对(top↔bottom)的理解。", "小象吃黄色的香蕉是最自然的食物搭配。banana是常见动物投喂食物,elephant和nose均不符合吃的语义。考查动物食物相关词汇。", "when I grow up(等我长大)是固定表达。grow up表示成长、长大,born与when从句时态矛盾,bottom不相关。考查固定短语的掌握。", "根据上下文描述的美好回忆,bottom指从心底的比喻义。from the bottom of my heart是常见表达。top与情感表达不相配,nose属于干扰项。考查固定搭配和比喻义。", ] EXPL_032901_second = [ "前后分句是因果关系:姐姐喜欢美丽的东西,所以总戴首饰。so引导结果,because引导原因,but表示转折。考查结果连词。", "lost one of her favourite silver earrings——在首饰语境中,银色的earrings(耳环)是最典型的可丢失物品。painting和language与silver修饰和wear搭配都不符。考查语境词义推断。", "couldn't find it anywhere else——在否定句中else表示别的地方/其他任何地方,except含义不符,again重复逻辑不通。考查否定句中的词汇用法。", "I decided to make..., although I'm not very good——前后存在让步转折关系,虽然不擅长但还是决定做。although正确,because和so均表示因果。考查让步连词。", "She showed me how to use small silver pieces——朋友擅长的是首饰制作(jewellery),与silver pieces和earrings主题一致。painting和language偏离主题。考查上下文主题关联。", "I made a mistake, so I had to start again——犯错后重新开始,again表示再一次。else用于否定句表另外,except表除了。考查副词选择。", ] data = fetch('tblLmUxzzUDe0QAJ') for item in data['data']['items']: if item['record_id'] == 'recvjueULrufNg': jd = json.loads(item['fields']['jsonData']) t1 = item['fields'].get('题目1','') or '' t2 = item['fields'].get('题目2','') or '' for qi, q in enumerate(jd['first']['questionSet']): q['ability'] = ['语法结构识别|完形填空'] q['explanation'] = EXPL_032901_first[qi] for qi, q in enumerate(jd['second']['questionSet']): q['ability'] = ['语法结构识别|完形填空'] q['explanation'] = EXPL_032901_second[qi] if '【解析】' not in t1: t1_new = t1 + '\n\n【解析】\n' + '\n'.join(f"{i+1}. {e}" for i,e in enumerate(EXPL_032901_first)) else: t1_new = t1 if '【解析】' not in t2: t2_new = t2 + '\n\n【解析】\n' + '\n'.join(f"{i+1}. {e}" for i,e in enumerate(EXPL_032901_second)) else: t2_new = t2 update_fields = { 'jsonData': json.dumps(jd, ensure_ascii=False), '题目1': t1_new, '题目2': t2_new, } resp = update('tblLmUxzzUDe0QAJ', 'recvjueULrufNg', update_fields) print(f"P5 032901: {'✅' if resp.get('code')==0 else '❌'+str(resp.get('msg',''))}")