171 lines
7.6 KiB
Python
171 lines
7.6 KiB
Python
#!/usr/bin/env python3
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"""Fill QSID=000001 P1 record with complete content"""
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import requests, json
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APP_TOKEN='CMHSbUUjka3TrUsaxxEc297ongf'
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APP_ID='cli_a931175d41799cc7'
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APP_SECRET='Iw2vEfbjT6GtV0GhbxbZqfQ4nAPtbR14'
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TABLE='tbliZAhcc9C43B23'
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RID='recuUjgbwn3Lkm'
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QSID='000001'
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r = requests.post('https://open.feishu.cn/open-apis/auth/v3/tenant_access_token/internal',
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json={'app_id':APP_ID,'app_secret':APP_SECRET}, timeout=10)
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token = r.json()['tenant_access_token']
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jd = {
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"first": {
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"category": "listening",
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"type": "listening_choicePic",
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"questionSetID": QSID,
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"textDesc": "听录音，选择正确的图片。",
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"questionSet": [
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{
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"question": "This is a blue box.",
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"questionAudio": "",
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"optionsImage": None,
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"answer": [0],
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"ability": ["显性事实理解｜单句信息点抓取"],
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"explanation": "听力中 Lily 说 'This is a blue box.'（这是一个蓝色的盒子），与图A蓝色方形卡通盒子相符，故选A。"
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},
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{
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"question": "He is a police officer.",
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"questionAudio": "",
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"optionsImage": None,
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"answer": [0],
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"ability": ["显性事实理解｜单句信息点抓取"],
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"explanation": "听力中 Tom 说 'He is a police officer.'（他是一名警察），与图A穿制服戴警帽的男警察相符，故选A。"
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},
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{
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"question": "I want to drink milk.",
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"questionAudio": "",
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"optionsImage": None,
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"answer": [0],
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"ability": ["显性事实理解｜单句信息点抓取"],
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"explanation": "听力中 Anna 说 'I want to drink milk.'（我想喝牛奶），与图A一杯热牛奶相符，故选A。"
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},
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{
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"question": "I eat a sandwich for breakfast.",
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"questionAudio": "",
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"optionsImage": None,
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"answer": [0],
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"ability": ["显性事实理解｜单句信息点抓取"],
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"explanation": "听力中 Bob 说 'I eat a sandwich for breakfast.'（我早餐吃三明治），与图A夹生菜火腿的三明治相符，故选A。"
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},
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{
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"question": "This is my red suitcase.",
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"questionAudio": "",
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"optionsImage": None,
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"answer": [0],
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"ability": ["显性事实理解｜单句信息点抓取"],
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"explanation": "听力中 Cindy 说 'This is my red suitcase.'（这是我的红色手提箱），与图A装满衣物的红色拉杆手提箱相符，故选A。"
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}
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]
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},
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"second": {
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"category": "listening",
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"type": "listening_choicePic",
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"questionSetID": QSID,
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"textDesc": "听录音，选择正确的图片。",
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"questionSet": [
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{
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"question": "Look at my new clothes.",
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"questionAudio": "",
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"optionsImage": None,
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"answer": [0],
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"ability": ["显性细节理解｜物品特征辨识"],
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"explanation": "听力中 Emma 说 'Look at my new clothes.'（看看我的新衣服）。卫衣属于衣物，图B为运动鞋、图C为棒球帽，均不属于衣物范畴，故选A蓝色连帽卫衣。"
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},
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{
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"question": "My dad works at the airport.",
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"questionAudio": "",
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"optionsImage": None,
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"answer": [0],
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"ability": ["显性细节理解｜数字/时间/地点"],
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"explanation": "听力中 Jack 说 'My dad works at the airport.'（我爸爸在机场工作），与图A停着飞机的机场航站楼场景相符，故选A。"
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},
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{
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"question": "The pirate has a black eye patch.",
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"questionAudio": "",
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"optionsImage": None,
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"answer": [0],
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"ability": ["显性事实理解｜单句信息点抓取"],
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"explanation": "听力中 Mike 说 'The pirate has a black eye patch.'（海盗戴着一个黑色的眼罩），图A戴眼罩的海盗与此描述完全匹配，故选A。"
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},
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{
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"question": "I need my passport to go abroad.",
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"questionAudio": "",
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"optionsImage": None,
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"answer": [0],
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"ability": ["显性细节理解｜物品功能辨识"],
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"explanation": "听力中 Lisa 说 'I need my passport to go abroad.'（我需要护照出国），图A为护照、图B为身份证、图C为银行卡，对应出国所需的证件是护照，故选A。"
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},
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{
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"question": "I like eating cheese very much.",
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"questionAudio": "",
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"optionsImage": None,
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"answer": [0],
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"ability": ["显性细节理解｜物品特征辨识"],
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"explanation": "听力中 Peter 说 'I like eating cheese very much.'（我非常喜欢吃芝士），与图A切成块的黄色芝士相符。图B是全麦面包、图C是黄油，均不是cheese，故选A。"
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}
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]
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}
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}
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TEXT1 = """【题目描述】
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听录音，选择正确的图片。
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【听力文本】
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1. Lily: This is a blue box.
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2. Tom: He is a police officer.
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3. Anna: I want to drink milk.
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4. Bob: I eat a sandwich for breakfast.
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5. Cindy: This is my red suitcase."""
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TEXT2 = """【题目描述】
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听录音，选择正确的图片。
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【听力文本】
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1. Emma: Look at my new clothes.
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2. Jack: My dad works at the airport.
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3. Mike: The pirate has a black eye patch.
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4. Lisa: I need my passport to go abroad.
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5. Peter: I like eating cheese very much."""
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fields = {
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"题目集合 ID": QSID,
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"jsonData": json.dumps(jd, ensure_ascii=False),
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"题目1": TEXT1,
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"题目2": TEXT2,
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"dataStatus": "0",
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"审校结果": "✅ 已补全：10道题 content/explanation/ability 全部填充完成（2026-05-14）"
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}
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r = requests.put(
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f'https://open.feishu.cn/open-apis/bitable/v1/apps/{APP_TOKEN}/tables/{TABLE}/records/{RID}',
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headers={'Authorization': f'Bearer {token}', 'Content-Type': 'application/json'},
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json={'fields': fields}, timeout=15)
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code = r.json().get('code')
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if code == 0:
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print('✅ 更新成功')
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# Verify
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r2 = requests.get(f'https://open.feishu.cn/open-apis/bitable/v1/apps/{APP_TOKEN}/tables/{TABLE}/records/{RID}',
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headers={'Authorization': f'Bearer {token}'}, timeout=10)
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jd2 = json.loads(r2.json()['data']['record']['fields']['jsonData'])
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f_qs = jd2['first']['questionSet']
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s_qs = jd2['second']['questionSet']
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print(f'\n验证:')
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for i, q in enumerate(f_qs):
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ok = len(q.get('question',''))>0 and len(q.get('explanation',''))>20 and len(q.get('ability',[]))>0
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print(f' first Q{i+1}: {"✅" if ok else "❌"} q="{q["question"]}" answer={q["answer"]} ability={q["ability"]}')
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for i, q in enumerate(s_qs):
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ok = len(q.get('question',''))>0 and len(q.get('explanation',''))>20 and len(q.get('ability',[]))>0
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print(f' second Q{i+1}: {"✅" if ok else "❌"} q="{q["question"]}" answer={q["answer"]} ability={q["ability"]}')
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f2 = r2.json()['data']['record']['fields']
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print(f'\n题目1: {len(f2.get("题目1",""))}chars, 题目2: {len(f2.get("题目2",""))}chars')
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print(f'审校结果: {f2.get("审校结果","")}')
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else:
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print(f'❌ 失败: {r.json().get("msg")}')
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