185 lines
6.3 KiB
Python
185 lines
6.3 KiB
Python
#!/usr/bin/env python3
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"""Regenerate G column for all components from Row 152 onwards — strict skill formats."""
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import subprocess, json
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APP_SECRET = json.load(open('/root/.openclaw/credentials/xiaoyan/config.json'))['apps'][0]['appSecret']
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r = subprocess.run(['curl', '-s', '-X', 'POST',
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'https://open.feishu.cn/open-apis/auth/v3/tenant_access_token/internal',
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'-H', 'Content-Type: application/json',
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'-d', json.dumps({"app_id": "cli_a931175d41799cc7", "app_secret": APP_SECRET})],
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capture_output=True, text=True)
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TOKEN = json.loads(r.stdout)['tenant_access_token']
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SST = 'DCcKsLbrmhfXgrtB7N2c9GA4ntf'
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SID = 'wMQVyV'
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configs = [
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# === Row 161: 对话挖空 (1217511) ===
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(161, """【任务标题】你明白了什么？
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【资源配置】无
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【情境引入】Ben : Speedy Monkey? School? Gift?
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【互动内容】Ben! I think I ___!（音频）
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选项1：understand（正确）
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选项2：talk
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【互动反馈】
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正确 Ben : What do you understand?
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错误 Ben : Think about the marks on the blackboard again.
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【后置对话】无"""),
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# === Row 168: 对话挖空 (1217512) ===
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(168, """【任务标题】和 Ben 单独聊聊
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【资源配置】无
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【情境引入】Ben : What do you think it means?
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【互动内容】We need to ___! You and me!（音频）
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选项1：talk（正确）
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选项2：point
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【互动反馈】
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正确 Ben : Okay. Let's figure this out together.
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错误 Ben : We need to do more than just point. Let's talk.
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【后置对话】无"""),
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# === Row 181: 对话选读 (1217513) ===
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(181, """【任务标题】向镇长求助
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【资源配置】无
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【情境引入】Ben : What should we do now?
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【互动内容】
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要求：选择一个你想表达的观点
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选项：
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选项1：We need to call Mayor Tom! Let's talk about it!
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- 反馈 Ben : Good idea. Let's call him now!
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选项2：We need to go find more proof first.
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- 反馈 Ben : Hmm, we already have enough proof. Let's take action.
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选项3：Let's keep watching the robot for now.
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- 反馈 Ben : No, we need to do something fast!
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【后置对话】无"""),
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# === Row 194: 对话挖空 (1217514) ===
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(194, """【任务标题】指给镇长看
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【资源配置】无
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【情境引入】Tom : Where is the spy?
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【互动内容】Look! I ___ at it.（音频）
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选项1：point（正确）
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选项2：talk
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【互动反馈】
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正确 Tom : The robot? You think it is a spy?
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错误 Tom : What are you doing? Show me.
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【后置对话】无"""),
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# === Row 207: 对话组句 (1217515) ===
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(207, """【任务标题】给镇长看黑板上的证据
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【资源配置】无
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【情境引入】Tom : I don't understand. Anything else?
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【互动内容】
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题目：告诉镇长：你看，黑板上有很多奇怪的记号！
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Look! Here are a lot of strange marks!（音频）
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选项1：Look
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选项2：Here
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选项3：are
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选项4：a lot of
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选项5：strange
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选项6：marks
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答案：Look! Here are a lot of strange marks!
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辅助信息：用 a lot of 表示"很多"；Look 引导祈使句
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【互动反馈】
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正确 Tom : Hmm, I see. Let me take a closer look.
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错误 Tom : Try again. Use all the words to make a full sentence.
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【后置对话】无"""),
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# === Row 224: 对话选读 (1217516) ===
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(224, """【任务标题】到底怎么回事？
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【资源配置】无
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【情境引入】Tom : The school isn't a gift to Speedy Monkey!
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【互动内容】
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要求：选择一个你想表达的观点
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选项：
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选项1：Wait. I don't understand.
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- 反馈 Tom : Let these two workers explain everything.
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选项2：Then what is the robot doing here?
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- 反馈 Tom : Good question. Let the workers tell you.
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选项3：I knew it was all wrong!
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- 反馈 Tom : Yes, you were wrong. Now listen carefully.
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【后置对话】无"""),
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# === Row 245: 看图说话 (1217517) ===
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(245, """【任务标题】向 Jay 和 Lin 道歉
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【任务背景】
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你之前误会了 Jay 和 Lin 是坏人，现在你需要向他们真诚道歉，表达你的歉意。
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【任务描述】
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你需要对 Jay 和 Lin 说出你的歉意和反思。
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【知识】
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I should talk to you. 我应该和你谈谈。
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I should understand you. 我应该理解你。
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I can understand you now. 我现在能理解你了。
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【对话角色】
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Lin, Jay
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【角色背景】
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你是 Lin 和 Jay，你们因为长相凶恶经常被误会。现在有两个孩子来向你们道歉了。
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【互动问题】
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#图片编号：00
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Q: What do you want to say to us?
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A: I should talk to you.
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Q: What else?
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A: I should understand you.
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Q: And now?
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A: I can understand you now.
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【通过规则】
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用户说出：
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1. 我应该和你谈谈
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2. 我应该理解你
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3. 我现在能理解你了
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【示例对话】
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Lin: What do you want to say to us?
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User: I should talk to you.
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Jay: What else?
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User: I should understand you.
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Lin: And now?
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User: I can understand you now.
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Jay: Thank you. We feel much better.
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Lin: I understand. We all make mistakes.""")
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]
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success = fail = 0
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for row, text in configs:
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cell = f"{SID}!G{row}:G{row}"
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body = json.dumps({"valueRange": {"range": cell, "values": [[text]]}}, ensure_ascii=False)
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r = subprocess.run(['curl', '-s', '-X', 'PUT',
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f'https://open.feishu.cn/open-apis/sheets/v2/spreadsheets/{SST}/values',
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'-H', f'Authorization: Bearer {TOKEN}',
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'-H', 'Content-Type: application/json; charset=utf-8',
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'-d', body], capture_output=True, text=True, timeout=10)
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resp = json.loads(r.stdout)
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title = text.split('\n')[0].replace('【任务标题】', '')
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if resp.get('code') == 0:
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success += 1
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print(f' ✅ Row {row:3d} | {title}')
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else:
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fail += 1
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print(f' ❌ Row {row:3d} | {resp.get("msg","?")}')
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print(f'\n写入结果：{success}成功 / {fail}失败')
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if fail == 0:
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print('\n=== 回读验证 ===')
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import re
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for row, _ in configs:
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cell = f"{SID}!G{row}:G{row}"
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r = subprocess.run(['curl', '-s', '-X', 'GET',
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f'https://open.feishu.cn/open-apis/sheets/v2/spreadsheets/{SST}/values/{cell}?valueRenderOption=ToString',
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'-H', f'Authorization: Bearer {TOKEN}'], capture_output=True, text=True, timeout=10)
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resp = json.loads(r.stdout)
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vals = resp.get('data',{}).get('valueRange',{}).get('values',[[]])
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content = vals[0][0] if vals and vals[0] else ''
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m = re.search(r'【任务标题】([^\n]*)', content)
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title = m.group(1) if m else '(empty)'
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print(f' ✅ Row{row}: {title}')
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