fix_upload
This commit is contained in:
parent
2b50b3a2f7
commit
a778b0b62c
@ -1,22 +1,22 @@
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[
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{
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"id": "24849eb6e78a42998d0b7b08b5979756",
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"createdAt": "2026-01-04T12:14:26.825475+08:00",
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"customerName": "2025-12-22",
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"intendedProduct": "予芯",
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"id": "b933a0edb8cb4d1a85fdd6ca50fc4376",
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"createdAt": "2026-01-07T16:40:38.094131+08:00",
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"customerName": "予芯",
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"intendedProduct": "2025/12/22",
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"version": "1.9.4",
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"description": "训练失败看不到错误日志",
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"solution": "已解决",
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"type": "功能问题",
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"module": "模型工坊",
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"statusProgress": "",
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"statusProgress": "已修复",
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"reporter": ""
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},
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{
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"id": "a10e4beaa8134473bfd80fba4b33aee7",
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"createdAt": "2026-01-04T12:14:26.826755+08:00",
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"customerName": "2025/12/23",
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"intendedProduct": "诺因智能",
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"id": "179dd08fe93d4fbf9c078c362486aa65",
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"createdAt": "2026-01-07T16:40:38.095578+08:00",
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"customerName": "诺因智能",
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"intendedProduct": "2025/12/23",
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"version": "1.9.4",
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"description": "客户端上传大文件失败",
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"solution": "技术优化，修复中",
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@ -26,10 +26,10 @@
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"reporter": ""
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},
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{
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"id": "20188f28fe1e40e589e171a542cf3a26",
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"createdAt": "2026-01-04T12:14:26.827195+08:00",
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"customerName": "2025/12/23",
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"intendedProduct": "良业集团",
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"id": "2700f88f74c94903a48369c86e05221a",
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"createdAt": "2026-01-07T16:40:38.096324+08:00",
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"customerName": "良业",
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"intendedProduct": "2025/12/23",
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"version": "1.9.4",
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"description": "数据集发布感觉操作繁琐，如果在模型工坊里直接选择需要训练的图片会更方便",
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"solution": "",
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@ -39,10 +39,10 @@
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"reporter": ""
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},
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{
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"id": "b1f033d8f2b54b5cae52764f9e4eb727",
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"createdAt": "2026-01-04T12:14:26.827545+08:00",
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"customerName": "2025/12/25",
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"intendedProduct": "斯蒂尔",
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"id": "7ae437bfeaa84e579b012a4ec5fae794",
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"createdAt": "2026-01-07T16:40:38.097176+08:00",
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"customerName": "斯蒂尔",
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"intendedProduct": "2025/12/25",
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"version": "1.9.4",
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"description": "1.试用账号图片生成速度比较慢(2分钟1张图)\n2.生图效果不理想",
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"solution": "试用资源有限",
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@ -52,10 +52,10 @@
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"reporter": ""
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},
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{
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"id": "ce7df9ffeab34998a040ee0af5b21789",
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"createdAt": "2026-01-04T12:14:26.827889+08:00",
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"customerName": "2025/12/26",
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"intendedProduct": "求之",
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"id": "e45d0a13be724c129a3c4e446517a940",
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"createdAt": "2026-01-07T16:40:38.098053+08:00",
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"customerName": "求之",
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"intendedProduct": "2025/12/26",
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"version": "1.9.4",
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"description": "1.训练过程不太透明，以及无法提前终止模型训练\n2.训练过程无法断点继续训练；\n3.试用账号资源有限，训练时长过长",
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"solution": "1、训练过程的透明化（日志化）和目前的易用化，有一些产品设计矛盾，之前主要还是在做易用化。\n接下来我们会在更透明，更强的客户对过程的操控粒度上提升。\n2、训练时长的事情实在抱歉，最近客户比较多，我们资源有限",
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@ -65,10 +65,10 @@
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"reporter": ""
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},
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{
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"id": "be855bfa554e4e71abcee1cb5c614c3d",
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"createdAt": "2026-01-04T12:14:26.828428+08:00",
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"customerName": "2025/12/26",
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"intendedProduct": "诺因智能",
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"id": "157ee3180f9c47efb38ab52e3a3b2b4f",
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"createdAt": "2026-01-07T16:40:38.099239+08:00",
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"customerName": "诺因智能",
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"intendedProduct": "2025/12/26",
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"version": "1.9.4",
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"description": "训练进程显示什么时候上线",
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"solution": "训练日志可视化，我们大约需要一个月的时间可以满足上线使用",
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@ -78,10 +78,10 @@
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"reporter": ""
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},
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{
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"id": "93924ee960434cf1b3a358321efcf5a5",
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"createdAt": "2026-01-04T12:14:26.828857+08:00",
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"customerName": "2025/12/26",
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"intendedProduct": "诺因智能",
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"id": "b7371743ec5549af8ce643e136334ccf",
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"createdAt": "2026-01-07T16:40:38.100073+08:00",
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"customerName": "诺因智能",
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"intendedProduct": "2025/12/26",
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"version": "1.9.4",
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"description": "(igev模型)全量训练是指从0开始？ 增量是在现在的ckpt上做微调是吗？ ",
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"solution": "全量训练：在加载开源基础的权重上进行增量训练\n增量训练：在您的数据上训练的checkpoint上进行的增量训练",
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@ -91,10 +91,10 @@
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"reporter": ""
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},
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{
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"id": "6d748e5ec8814e938509c0784902e5bc",
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"createdAt": "2026-01-04T12:14:26.829476+08:00",
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"customerName": "2025/12/26",
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"intendedProduct": "斯蒂尔",
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"id": "c87211e0dc6b42f1bb2127259cf64e81",
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"createdAt": "2026-01-07T16:40:38.101288+08:00",
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"customerName": "斯蒂尔",
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"intendedProduct": "2025/12/26",
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"version": "1.9.4",
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"description": "数据生成效果改进优化方式？试用账号配置卡数",
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"solution": "4090，24g，然后生图是单卡单线程\n目前系统上挂载了2张GPU",
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@ -104,10 +104,10 @@
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"reporter": ""
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},
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{
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"id": "74e79089d5e7477f8388ad62515704f2",
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"createdAt": "2026-01-04T12:14:26.830017+08:00",
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"customerName": "2025/12/26",
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"intendedProduct": "良业",
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"id": "d14245e86d3d4ee399996ba6d26b23de",
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"createdAt": "2026-01-07T16:40:38.101877+08:00",
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"customerName": "良业",
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"intendedProduct": "2025/12/26",
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"version": "1.9.4",
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"description": "1、训练时需要添加测试图，无法理解，模型分析结果可以用训练集\n2、训练失败时需提示原因，方便下一步操作。",
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"solution": "1、训练过程中，根据训练集的数据来更新模型参数；在通过验证集来验证；\n2、训练失败有日志可以查看，您滚动下屏幕至右侧可以看到哈",
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@ -117,10 +117,10 @@
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"reporter": ""
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},
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{
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"id": "f4a97d749e9843419dc74c9990e0035f",
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"createdAt": "2026-01-04T12:14:26.830529+08:00",
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"customerName": "2025/12/29",
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"intendedProduct": "良业",
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"id": "e6fe3693b67d406e9edd056fc48c7119",
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"createdAt": "2026-01-07T16:40:38.102556+08:00",
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"customerName": "良业",
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"intendedProduct": "2025/12/29",
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"version": "1.9.4",
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"description": "1.试了几个模型，没训练出来，感觉不出效果\n",
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"solution": "补充数据集",
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@ -130,10 +130,10 @@
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"reporter": ""
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},
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{
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"id": "d8aa7b048820406d932b410ecc3fd83f",
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"createdAt": "2026-01-04T12:14:26.830915+08:00",
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"customerName": "2025/12/29",
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"intendedProduct": "诺因智能",
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"id": "ec24619e11014cb4a3e2f6d9e4b2d618",
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"createdAt": "2026-01-07T16:40:38.103257+08:00",
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"customerName": "诺因智能",
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"intendedProduct": "2025/12/29",
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"version": "1.9.4",
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"description": "1.总轮数与拓展参数(num_steps)不一致的时候，以哪个为准结束训练",
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"solution": "目前StereoNet-V2.5支持使用steps参数，其他的还是以epoch为准",
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@ -143,10 +143,10 @@
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"reporter": ""
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},
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{
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"id": "fa1a6afdc1cf47728eb3940be1a554d9",
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"createdAt": "2026-01-04T12:14:26.831304+08:00",
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"customerName": "2025/12/30",
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"intendedProduct": "良业",
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"id": "a9fc0da9bee44acba2d43d15e06079ed",
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"createdAt": "2026-01-07T16:40:38.10396+08:00",
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"customerName": "良业",
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"intendedProduct": "2025/12/30",
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"version": "1.9.4",
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"description": "户外同一个草坪测试，用yolo检测640*480图片，检测时间\u003c100ms，分割精度\u003c10像素，出错率1/10万，使用x3可以吗？",
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"solution": "100ms可以",
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@ -156,10 +156,10 @@
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"reporter": ""
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},
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{
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"id": "515c58d6e5184393a60462701ee97768",
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"createdAt": "2026-01-04T12:14:26.831727+08:00",
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"customerName": "2025/12/30",
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"intendedProduct": "良业",
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"id": "0bd2e8d859d7466293182181490d56b4",
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"createdAt": "2026-01-07T16:40:38.104695+08:00",
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"customerName": "良业",
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"intendedProduct": "2025/12/30",
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"version": "1.9.4",
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"description": "训练任务无效果",
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"solution": "数据集少了，补数后需要保存快照",
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@ -169,10 +169,10 @@
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"reporter": ""
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},
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{
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"id": "751cbd5497a849888641270f88012b0d",
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"createdAt": "2026-01-04T12:14:26.832123+08:00",
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"customerName": "2025/12/30",
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"intendedProduct": "诺因智能",
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"id": "3576f30f7b7d489e91f2c638b9aae7af",
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"createdAt": "2026-01-07T16:40:38.105387+08:00",
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"customerName": "诺因智能",
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"intendedProduct": "2025/12/30",
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"version": "1.9.4",
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"description": "现在平台上的V2.5就可以，需要完成的ckpt，这个预计什么时候可以更新啊",
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"solution": "",
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@ -182,25 +182,25 @@
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"reporter": ""
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},
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{
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"id": "c754c98a22684a9c8cec940869ca7511",
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"createdAt": "2026-01-04T12:14:26.832483+08:00",
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"customerName": "2025-12-31",
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"intendedProduct": "诺因智能",
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"id": "1cdb5f53ee734caf859fc0597a60f13a",
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"createdAt": "2026-01-07T16:40:38.106029+08:00",
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"customerName": "诺因智能",
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"intendedProduct": "2025/12/31",
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"version": "1.9.4",
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"description": "境外网站的加速，下载部分数据集时速度会很慢",
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"solution": "",
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"type": "反馈",
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"module": "",
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"module": "数据集",
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"statusProgress": "",
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"reporter": ""
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},
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{
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"id": "876f234b07da45138ec2d85ea4294c9b",
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"createdAt": "2026-01-04T12:14:26.83287+08:00",
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"customerName": "2025/12/31",
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"intendedProduct": "诺因智能",
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"version": "1.9.6",
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"description": "模型ckpt的匹配，这个可以公开镜像也可以是根据账户权限设置的私有镜像，都OK，但是得有",
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"id": "e01001a4667d45e0872d506df39be397",
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"createdAt": "2026-01-07T16:40:38.106833+08:00",
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"customerName": "诺因智能",
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"intendedProduct": "2025/12/31",
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"version": "1.9.4",
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"description": "诺因智能需要完整的模型 checkpoint，而不仅仅是 backbone 部分",
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"solution": "",
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"type": "需求",
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"module": "模型工坊",
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@ -208,11 +208,11 @@
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"reporter": ""
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||||
},
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{
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"id": "7db1edba452d48f8b5b2e56854bbd92c",
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"createdAt": "2026-01-04T12:14:26.833264+08:00",
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"customerName": "2025/12/31",
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"intendedProduct": "诺因智能",
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"version": "1.9.7",
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"id": "e52a8badaab840a2a6dd27a614d1e929",
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||||
"createdAt": "2026-01-07T16:40:38.107656+08:00",
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"customerName": "诺因智能",
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"intendedProduct": "2025/12/31",
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"version": "1.9.4",
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"description": "模型推理的指标对比按钮无法选择",
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"solution": "",
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"type": "需求",
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@ -221,11 +221,11 @@
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"reporter": ""
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||||
},
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{
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"id": "beca6e1a2791409fb750c4a1ca1c16e8",
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||||
"createdAt": "2026-01-04T12:14:26.834896+08:00",
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"customerName": "2025/12/31",
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"intendedProduct": "诺因智能",
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"version": "1.9.8",
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"id": "bbf8dd91213b4d96b96bbeb43ed9930e",
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"createdAt": "2026-01-07T16:40:38.108654+08:00",
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"customerName": "诺因智能",
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"intendedProduct": "2025/12/31",
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"version": "1.9.4",
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"description": "推理评测可以增加定量参数，推理的时候能否增加一下epe衡量模型精度的指标",
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"solution": "",
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"type": "需求",
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@ -266,12 +266,12 @@
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<form id="createCustomerForm">
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<div class="form-row">
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<div class="form-group">
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<label for="customerName">日期</label>
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<input type="date" id="customerName" name="customerName" required>
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<label for="createIntendedProduct">日期</label>
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<input type="date" id="createIntendedProduct" name="intendedProduct">
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</div>
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<div class="form-group">
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<label for="intendedProduct">客户名称</label>
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<input type="text" id="intendedProduct" name="intendedProduct" required>
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<label for="createCustomerName">客户名称</label>
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<input type="text" id="createCustomerName" name="customerName" required>
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</div>
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</div>
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<div class="form-row">
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@ -371,12 +371,12 @@
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<input type="hidden" id="editCustomerId">
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<div class="form-row">
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<div class="form-group">
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<label for="editCustomerName">日期</label>
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<input type="date" id="editCustomerName" name="customerName">
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<label for="editIntendedProduct">日期</label>
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<input type="date" id="editIntendedProduct" name="intendedProduct">
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</div>
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<div class="form-group">
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<label for="editIntendedProduct">客户名称</label>
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<input type="text" id="editIntendedProduct" name="intendedProduct">
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<label for="editCustomerName">客户名称</label>
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<input type="text" id="editCustomerName" name="customerName">
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</div>
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</div>
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<div class="form-row">
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@ -351,7 +351,7 @@ document.addEventListener('DOMContentLoaded', function () {
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// Populate customer filter dropdown
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function populateCustomerFilter() {
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console.log('Populating filter, allCustomers:', allCustomers);
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const uniqueCustomers = [...new Set(allCustomers.map(c => c.intendedProduct).filter(c => c))];
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const uniqueCustomers = [...new Set(allCustomers.map(c => c.customerName).filter(c => c))];
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console.log('Unique customers:', uniqueCustomers);
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customerFilter.innerHTML = '<option value="">全部客户</option>';
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@ -405,7 +405,7 @@ document.addEventListener('DOMContentLoaded', function () {
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let next = [...allCustomers];
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if (selectedCustomerFilter) {
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next = next.filter(c => c.intendedProduct === selectedCustomerFilter);
|
||||
next = next.filter(c => c.customerName === selectedCustomerFilter);
|
||||
}
|
||||
|
||||
if (customerSearchQuery) {
|
||||
@ -450,9 +450,9 @@ document.addEventListener('DOMContentLoaded', function () {
|
||||
].map(toCsvCell).join(',');
|
||||
|
||||
const lines = customers.map(c => {
|
||||
const date = normalizeDateValue(c.customerName) || (c.customerName || '');
|
||||
const date = normalizeDateValue(c.intendedProduct) || (c.intendedProduct || '');
|
||||
const cells = [
|
||||
c.intendedProduct || '',
|
||||
c.customerName || '',
|
||||
c.version || '',
|
||||
c.description || '',
|
||||
c.solution || '',
|
||||
@ -560,10 +560,10 @@ document.addEventListener('DOMContentLoaded', function () {
|
||||
customers.forEach(customer => {
|
||||
const row = document.createElement('tr');
|
||||
|
||||
const date = customer.customerName || '';
|
||||
const date = customer.intendedProduct || '';
|
||||
|
||||
const fields = [
|
||||
{ value: customer.intendedProduct || '', name: 'intendedProduct' },
|
||||
{ value: customer.customerName || '', name: 'customerName' },
|
||||
{ value: customer.version || '', name: 'version' },
|
||||
{ value: customer.description || '', name: 'description' },
|
||||
{ value: customer.solution || '', name: 'solution' },
|
||||
@ -677,8 +677,8 @@ document.addEventListener('DOMContentLoaded', function () {
|
||||
e.preventDefault();
|
||||
|
||||
const formData = {
|
||||
customerName: document.getElementById('customerName').value,
|
||||
intendedProduct: document.getElementById('intendedProduct').value,
|
||||
customerName: document.getElementById('createCustomerName').value,
|
||||
intendedProduct: document.getElementById('createIntendedProduct').value,
|
||||
version: document.getElementById('createVersion').value,
|
||||
description: document.getElementById('createDescription').value,
|
||||
solution: document.getElementById('createSolution').value,
|
||||
@ -755,8 +755,8 @@ document.addEventListener('DOMContentLoaded', function () {
|
||||
const customer = await response.json();
|
||||
|
||||
document.getElementById('editCustomerId').value = customer.id;
|
||||
document.getElementById('editCustomerName').value = normalizeDateValue(customer.customerName);
|
||||
document.getElementById('editIntendedProduct').value = customer.intendedProduct || '';
|
||||
document.getElementById('editCustomerName').value = customer.customerName || '';
|
||||
document.getElementById('editIntendedProduct').value = normalizeDateValue(customer.intendedProduct);
|
||||
document.getElementById('editVersion').value = customer.version || '';
|
||||
document.getElementById('editDescription').value = customer.description || '';
|
||||
document.getElementById('editSolution').value = customer.solution || '';
|
||||
|
||||
@ -252,14 +252,14 @@ func (h *CustomerHandler) ImportCustomers(w http.ResponseWriter, r *http.Request
|
||||
ID: "", // Will be generated by the storage
|
||||
CreatedAt: time.Now(),
|
||||
CustomerName: getValue(row, 0),
|
||||
IntendedProduct: getValue(row, 1),
|
||||
Version: getValue(row, 2),
|
||||
Description: getValue(row, 3),
|
||||
Solution: getValue(row, 4),
|
||||
Type: getValue(row, 5),
|
||||
Module: getValue(row, 6),
|
||||
StatusProgress: getValue(row, 7),
|
||||
Reporter: getValue(row, 8),
|
||||
Version: getValue(row, 1),
|
||||
Description: getValue(row, 2),
|
||||
Solution: getValue(row, 3),
|
||||
Type: getValue(row, 4),
|
||||
Module: getValue(row, 5),
|
||||
StatusProgress: getValue(row, 6),
|
||||
Reporter: getValue(row, 7),
|
||||
IntendedProduct: getValue(row, 8),
|
||||
}
|
||||
|
||||
// Check for duplicate
|
||||
@ -310,14 +310,14 @@ func (h *CustomerHandler) ImportCustomers(w http.ResponseWriter, r *http.Request
|
||||
ID: "", // Will be generated by the storage
|
||||
CreatedAt: time.Now(),
|
||||
CustomerName: getValue(row, 0),
|
||||
IntendedProduct: getValue(row, 1),
|
||||
Version: getValue(row, 2),
|
||||
Description: getValue(row, 3),
|
||||
Solution: getValue(row, 4),
|
||||
Type: getValue(row, 5),
|
||||
Module: getValue(row, 6),
|
||||
StatusProgress: getValue(row, 7),
|
||||
Reporter: getValue(row, 8),
|
||||
Version: getValue(row, 1),
|
||||
Description: getValue(row, 2),
|
||||
Solution: getValue(row, 3),
|
||||
Type: getValue(row, 4),
|
||||
Module: getValue(row, 5),
|
||||
StatusProgress: getValue(row, 6),
|
||||
Reporter: getValue(row, 7),
|
||||
IntendedProduct: getValue(row, 8),
|
||||
}
|
||||
|
||||
// Check for duplicate
|
||||
@ -344,8 +344,8 @@ func (h *CustomerHandler) ImportCustomers(w http.ResponseWriter, r *http.Request
|
||||
w.Header().Set("Content-Type", "application/json")
|
||||
w.WriteHeader(http.StatusOK)
|
||||
json.NewEncoder(w).Encode(map[string]interface{}{
|
||||
"message": "Customers imported successfully",
|
||||
"importedCount": importedCount,
|
||||
"message": "Customers imported successfully",
|
||||
"importedCount": importedCount,
|
||||
"duplicateCount": duplicateCount,
|
||||
})
|
||||
}
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
Customer Name,Intended Product,Version,Description,Solution,Type,Module,Status & Progress,Reporter
|
||||
ABC Company,Product A,v1.0,Enterprise client,Cloud solution,Enterprise,CRM,In Progress,John Doe
|
||||
XYZ Corp,Product B,v2.1,New prospect,On-premise,Prospect,Sales,Lead,Jane Smith
|
||||
Tech Solutions,Product C,v1.5,Existing customer,Hybrid,Existing,Support,Closed Won,Mike Johnson
|
||||
Global Inc,Product A,v2.0,International client,Cloud solution,Enterprise,CRM,Negotiation,Sarah Wilson
|
||||
客户,版本,描述,解决方案,类型,模块,状态与进度,报告人,时间
|
||||
予芯,1.9.4,训练失败看不到错误日志,已解决,功能问题,模型工坊,,管理员,2025-12-22
|
||||
诺因智能,1.9.4,客户端上传大文件失败,技术优化,功能问题,数据空间,已修复,管理员,2025-12-23
|
||||
良业集团,1.9.4,"数据集发布感觉操作繁琐，如果在模型工坊里直接选择需要训练的图片会更方便",,反馈,"数据集,模型工坊",,管理员,2025-12-23
|
||||
斯蒂尔,1.9.4,"1.试用账号图片生成速度比较慢(2分钟1张图); 2.生图效果不理想",试用资源有限,反馈,数据生成,,管理员,2025-12-25
|
||||
|
Loading…
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Reference in New Issue
Block a user