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main #61

Merged
charles merged 3 commits from main into prod 2026-01-14 10:49:39 +08:00
Conversation 0 Commits 3 Files Changed 3 +185 -4
3 changed files with 185 additions and 4 deletions
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45
b/product/get_zhipu_0112_product.dspy Normal file
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@ -0,0 +1,45 @@
async def get_zhipu_0112_product(ns={}):
return {
'status': True,
'msg': 'get product list success',
'data': [
{
"name": "GPU节点(云算力调度系统服务、算力运维服务)算力服务器型号:8卡CPU服务器",
"price": "58000元/月/节点",
"amount": 96,
"price_month": "5568000 元/月",
"total_price": "16704000元",
"hardware": [
{"name": "GPU型号", "value": "NVIDIA A100"},
{"name": "显存", "value": "80G"},
{"name": "CPU", "value": "AMD EPYC 7763 64-core"},
{"name": "内存", "value": "256GB"},
{"name": "存储", "value": "2TB NVMe SSD"},
]
},
{
"name": "GPU计算节点(高性能图形渲染服务、并行数据处理服务)算力服务器型号:多卡GPU服务器",
"price": "11600元/月/节点",
"amount": 72,
"price_month": "835200 元/月",
"total_price": "2505600元",
"hardware": [
{"name": "GPU型号", "value": " NVIDIA RTX 4090"},
{"name": "显存", "value": "24G"},
{"name": "CPU", "value": "Intel Xeon Platinum 8375C 32-core"},
{"name": "内存", "value": "128GB"},
{"name": "存储", "value": "1TB NVMe SSD"},
]
},
{
"name": "算力技术服务",
"price": "63595/月",
"amount": 1,
"price_month": "63595 元/月",
"total_price": "190785元"
},
]
}
ret = await get_zhipu_0112_product(params_kw)
return ret

135
b/product/get_zhipu_0112_product_detail.dspy Normal file
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@ -0,0 +1,135 @@
async def get_zhipu_0112_product_detail(ns={}):
import random
import copy
ygpu_base = {
"device_id": "CZ-YGPU-80",
"internal_ip": "192.168.1.80",
"public_ip": "101.202.185.248",
"service_period": {
"start_date": "2025-10-01",
"end_date": "2025-12-31"
},
"hardware_config": {
"gpu": {
"model": "NVIDIA A100 80GB",
"memory": "80GB"
},
"cpu": "AMD EPYC 7763 64-core",
"ram": "256GB",
"storage": "2TB NVMe SSD"
},
"network_config": {
"bandwidth": "10Gbps"
},
"service_level": {
"sla": "99.9%",
"max_concurrent_connections": 100,
"max_load_threshold": "90%",
"billing_method": "monthly"
},
"historical_stats": {
"uptime_rate": "1",
"average_load": "1",
"peak_load": "1",
"total_usage_hours": 1
}
}
hgpu_base = {
"device_id": "CZ-HGPU-02",
"internal_ip": "192.168.2.80",
"public_ip": "101.202.185.248",
"service_period": {
"start_date": "2025-10-01",
"end_date": "2025-12-31"
},
"hardware_config": {
"gpu": {
"model": " NVIDIA RTX 4090 24GB",
"memory": "24GB"
},
"cpu": "Intel Xeon Platinum 8375C 32-core",
"ram": "128GB",
"storage": "1TB NVMe SSD"
},
"network_config": {
"bandwidth": "5Gbps"
},
"service_level": {
"sla": "99.5%",
"max_concurrent_connections": 50,
"max_load_threshold": "80%",
"billing_method": "monthly"
},
"historical_stats": {
"uptime_rate": "1",
"average_load": "1",
"peak_load": "1",
"total_usage_hours": 1
}
}
ygpu_list = []
for i in range(1, 97):
ygpu = copy.deepcopy(ygpu_base)
ygpu['device_id'] = f'CZ-YGPU-{i:02d}'
ygpu['internal_ip'] = f'192.168.1.{i}'
ygpu['public_ip'] = f'101.202.{i+100}.{i+123}'
ygpu['historical_stats']['uptime_rate'] = str(round(random.uniform(90, 99.99), 2)) + '%'
ygpu['historical_stats']['average_load'] = str(round(random.uniform(60, 80.9), 1)) + '%'
ygpu['historical_stats']['peak_load'] = str(round(random.uniform(80, 90.9), 1)) + '%'
ygpu['historical_stats']['total_usage_hours'] = random.randint(1900, 2100)
ygpu_list.append(ygpu)
hgpu_list = []
for i in range(1, 73):
hgpu = copy.deepcopy(hgpu_base)
uptime_rate = str(round(random.uniform(90, 99.99), 2)) + '%'
average_load = str(round(random.uniform(60, 80.9), 1)) + '%'
peak_load = str(round(random.uniform(80, 90.9), 1)) + '%'
total_usage_hours = random.randint(1900, 2100)
hgpu['device_id'] = f'CZ-HGPU-{i:02d}'
hgpu['internal_ip'] = f'192.168.2.{i}'
hgpu['public_ip'] = f'101.202.{i+100}.{i+123}'
hgpu['historical_stats']['uptime_rate'] = uptime_rate
hgpu['historical_stats']['average_load'] = average_load
hgpu['historical_stats']['peak_load'] = peak_load
hgpu['historical_stats']['total_usage_hours'] = total_usage_hours
hgpu_list.append(hgpu)
data = {
'status': True,
'msg': 'get product list success',
'data': {}
}
if ns.get('keyword') == 'ygpu':
if ns.get('server_id'):
count_ygpu = 0
for ygpu in ygpu_list:
if ygpu['device_id'] == ns.get('server_id'):
count_ygpu += 1
data['data'] = {"servers": [ygpu]}
return data
if count_ygpu == 0:
data['data'] = {"servers": []}
return {'status': False, 'msg': 'server_id not found', 'data': {"servers": []}}
data['data'] = {"servers": ygpu_list}
elif ns.get('keyword') == 'hgpu':
if ns.get('server_id'):
count_hgpu = 0
for hgpu in hgpu_list:
if hgpu['device_id'] == ns.get('server_id'):
count_hgpu += 1
data['data'] = {"servers": [hgpu]}
return data
if count_hgpu == 0:
data['data'] = {"servers": []}
return {'status': False, 'msg': 'server_id not found', 'data': {"servers": []}}
data['data'] = {"servers": hgpu_list}
else:
data['data'] = {
"ygpu_servers": ygpu_list,
"hgpu_servers": hgpu_list
}
return data
ret = await get_zhipu_0112_product_detail(params_kw)
return ret

9
f/web-kboss/src/views/product/bigScreen/Newscreen/ScreenLeft/index.vue
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@ -7,9 +7,9 @@
<div class="title">异构芯片规模</div>
<div class="conter">
<div class="conter-top">
<div class="top-tit">33000 /<span>个</span></div>
<div class="top-tit">5000 /<span>个</span></div>
<div class="top-tit">8000 /<span>个</span></div>
<div class="top-tit">33000 /<span>P</span></div>
<div class="top-tit">5000 /<span>P</span></div>
<div class="top-tit">8000 /<span>P</span></div>
</div>
<div class="conter-center">
<img src="../images/3D.png" alt="">
@ -491,7 +491,8 @@ export default {
padding-left: 6px;
span {
font-size: 11px;
font-size: 12px;
margin-left: 2px;
}
}
}