import asyncio
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import aiohttp
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import traceback
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import time
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from Util.random_util import RandomUtil # 保证该模块中提供了生成随机数字和随机日期的函数
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from Util.dingtalk_helper import DingTalkHelper
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from tqdm import tqdm # 导入进度条库
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# 钉钉机器人 access_token 和 secret
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ACCESS_TOKEN = '4625f6690acd9347fae5b3a05af598be63e73d604b933a9b3902425b8f136d4d'
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SECRET = 'SEC3b6937550bd297b5491855f6f40c2ff1b41bc8c495e118ba9848742b1ddf8f19'
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# 请求URL和请求头
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apiname = "我的动物"
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url = "http://tsinghua.baoyizn.com:9906/api/escrow/animal/escrowAnimal/save"
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headers = {
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"token": "eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJleHAiOjE3NDUwMzExNjAsInVzZXJuYW1lIjoiZ2x5In0.zra2vwwvl-NQKN_tyNzRbiF3kzfUQovXBuSmEGcXPFY",
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"Content-Type": "application/json"
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}
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dingtalk_helper = DingTalkHelper(ACCESS_TOKEN, SECRET)
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gender = "1"
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mother_id = ""
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mother_wholeCode = ""
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father_id = ""
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father_wholeCode = ""
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algebra = 1
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preCode = "性能测试"
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# 生成请求体
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def create_animal_data():
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random_code = RandomUtil.generate_random_number_string(0, 999999999)
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random_date = RandomUtil.generate_random_date("2023-01-01", "2025-03-25")
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return {
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"bac": {"id": ""},
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"cage": {"id": "", "code": ""},
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"code": random_code,
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"room": {"id": ""},
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"user": {
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"id": "1780483551554764801",
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"name": "hyb实验人员"
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},
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"color": "4",
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"ethic": {
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"id": "1790288720729997312",
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"apCode": "24- Hybktfzr23.G24-4"
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},
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"shelf": {
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"id": "",
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"variety": {"id": ""}
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},
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"father": {
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"id": father_id,
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"wholeCode": father_wholeCode
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},
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"gender": gender,
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"mother": {
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"id": mother_id,
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"wholeCode": mother_wholeCode
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},
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"strain": {
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"id": "1846491449918550017",
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"bac": {"id": "", "name": "转基因"},
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"name": "hyb无需鉴定基因型，求求勿动",
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"type": "1",
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"maxNum": 5,
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"geneIds": {"id": "1810583565757919233,1810583743961313281,1810583743961313281,1810583743961313281,1860972233362567169"},
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"variety": {
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"id": "",
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"name": "SPF级基因鼠（荧光蛋白标记小鼠）",
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"isChip": "1"
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}
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},
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"algebra": algebra,
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"preCode": preCode ,
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"variety": {"id": "1661975536839733250"},
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"weaning": "2",
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"chipCode": random_code,
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"genotype": "hyb管理员创建共享，求求勿动 +/-/Tg/WT,hyb管理员创建使用者为课题负责人共享，求求勿动 +/-/Homo/Heter/WT",
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"transfer": "0",
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"birthDate": random_date,
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"wholeCode": f"{preCode}-{random_code}",
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"algebraWay": "1",
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"animalStatus": "0",
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"escrowStatus": "1",
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"researchGroup": {"id": "1699404304041828353"}
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}
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# 异步发送单个请求，并返回是否成功
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async def create_animal(session: aiohttp.ClientSession, index: int, max_retries: int = 3):
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data = create_animal_data()
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attempt = 0
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while attempt < max_retries:
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try:
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async with session.post(url, json=data, headers=headers) as response:
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resp_text = await response.text()
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if response.status == 200:
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print(f"[INFO] 第 {index} 个动物创建成功，响应：{resp_text}")
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return True
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else:
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print(f"[ERROR] 第 {index} 个动物创建失败，状态码：{response.status}，响应：{resp_text}")
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return False
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except Exception as e:
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attempt += 1
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status_code = getattr(e, 'status', 'N/A')
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error_trace = traceback.format_exc()
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full_log = (
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f"请求URL: {url}\n"
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f"请求头: {headers}\n"
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f"请求数据: {data}\n"
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f"状态码: {status_code}\n"
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f"异常信息: {str(e)}\n"
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f"堆栈跟踪:\n{error_trace}\n"
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f"重试次数: {attempt}/{max_retries}"
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)
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print(f"[EXCEPTION] 第 {index} 个动物请求异常：\n{full_log}\n")
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if attempt < max_retries:
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# 重试前等待 1 秒
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await asyncio.sleep(1)
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else:
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return False
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# 批量异步创建动物信息，同时显示进度条
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async def batch_create_animals(batch_size: int):
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tasks = []
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# 设置超时时间为60秒（可根据需要调整）
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timeout = aiohttp.ClientTimeout(total=60)
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async with aiohttp.ClientSession(timeout=timeout) as session:
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for i in range(1, batch_size + 1):
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task = asyncio.ensure_future(create_animal(session, i))
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tasks.append(task)
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success_count = 0
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# 使用 asyncio.as_completed 逐个等待任务完成，并更新进度条
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with tqdm(total=batch_size, desc="创建动物进度") as pbar:
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for finished in asyncio.as_completed(tasks):
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result = await finished
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if result:
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success_count += 1
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pbar.update(1)
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summary = f"\n[SUMMARY] 成功创建 {success_count}/{batch_size} 只动物"
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print(summary)
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dingtalk_helper.send_message(
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f"你的批量创建{apiname}模块数据已完成：成功创建 {success_count}/{batch_size} 只动物")
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# 主入口
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if __name__ == '__main__':
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n = 10 # 可根据需要调整批量创建数量
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asyncio.run(batch_create_animals(n))
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