Feat/metric 15 41 (#4)

* feat: Tools from metrics 0-14

* feat: Tools from metrics 15-30

* feat: Tools from metrics 31-41. Fill with '.*' when param is empty.
pull/17608/head
MisluNotFound 1 year ago committed by GitHub
parent 277ee811ab
commit 3135d3c551
No known key found for this signature in database
GPG Key ID: B5690EEEBB952194

@ -18,7 +18,7 @@ display:
parameters: parameters:
- name: service - name: service
type: string type: string
required: true required: false
label: label:
en_US: service en_US: service
zh_Hans: service zh_Hans: service
@ -31,7 +31,7 @@ parameters:
form: llm form: llm
- name: endpoint - name: endpoint
type: string type: string
required: true required: false
label: label:
en_US: endpoint en_US: endpoint
zh_Hans: endpoint zh_Hans: endpoint

@ -16,7 +16,7 @@ display:
parameters: parameters:
- name: cluster - name: cluster
type: string type: string
required: False required: false
label: label:
en_US: Cluster name en_US: Cluster name
zh_Hans: 集群名称 zh_Hans: 集群名称

@ -0,0 +1,44 @@
import json
from collections.abc import Generator
from typing import Any, Optional
import requests
from configs import dify_config
from core.tools.builtin_tool.tool import BuiltinTool
from core.tools.entities.tool_entities import ToolInvokeMessage
from libs.apo_utils import APOUtils
class ClusterCpuUsageLinuxTool(BuiltinTool):
def _invoke(
self,
user_id: str,
tool_parameters: dict[str, Any],
conversation_id: Optional[str] = None,
app_id: Optional[str] = None,
message_id: Optional[str] = None,
) -> Generator[ToolInvokeMessage, None, None]:
cluster = tool_parameters.get('cluster', '.*')
start_time = tool_parameters.get("startTime")
end_time = tool_parameters.get("endTime")
params = {
'metricName': '集群总览 - 总览 - CPU使用量 - Real Linux',
'params': {
'cluster': cluster
},
'startTime': start_time,
'endTime': end_time,
'step': APOUtils.get_step(start_time, end_time),
}
resp = requests.post(dify_config.APO_BACKEND_URL + '/api/metric/query', json=params)
list = resp.json()['result']
list = json.dumps({
'type': 'metric',
'display': True,
'unit': list['unit'],
'data': {
'timeseries': list['timeseries']
}
})
yield self.create_text_message(list)

@ -0,0 +1,53 @@
identity:
name: 实时集群CPU使用核数
author: APO
label:
en_US: Real-time cluster CPU cores usage
zh_Hans: 实时集群CPU使用核数
description:
human:
en_US: Real-time cluster CPU cores usage
zh_Hans: 实时集群CPU使用核数
llm: Real-time cluster CPU cores usage
display:
type: metric
title: 集群总览 - 总览 - CPU使用量 - Real Linux
unit: "core"
parameters:
- name: cluster
type: string
required: False
label:
en_US: Cluster name
zh_Hans: 集群名称
human_description:
en_US: Cluster name
zh_Hans: 集群名称
llm_description: Cluster name
form: llm
- name: startTime
type: number
required: true
label:
en_US: startTime
zh_Hans: startTime
pt_BR: startTime
human_description:
en_US: Data query start time
zh_Hans: 开始时间 (微秒)
pt_BR: Data query start time
llm_description: Data query start time
form: llm
- name: endTime
type: number
required: true
label:
en_US: endTime
zh_Hans: endTime
pt_BR: endTime
human_description:
en_US: Data query end time
zh_Hans: 结束时间 (微秒)
pt_BR: Data query end time
llm_description: Data query start time
form: llm

@ -16,7 +16,7 @@ display:
parameters: parameters:
- name: cluster - name: cluster
type: string type: string
required: False required: false
label: label:
en_US: Cluster name en_US: Cluster name
zh_Hans: 集群名称 zh_Hans: 集群名称

@ -16,7 +16,7 @@ display:
parameters: parameters:
- name: cluster - name: cluster
type: string type: string
required: False required: false
label: label:
en_US: Cluster name en_US: Cluster name
zh_Hans: 集群名称 zh_Hans: 集群名称

@ -0,0 +1,44 @@
import json
from collections.abc import Generator
from typing import Any, Optional
import requests
from configs import dify_config
from core.tools.builtin_tool.tool import BuiltinTool
from core.tools.entities.tool_entities import ToolInvokeMessage
from libs.apo_utils import APOUtils
class ClusterMemoryUsageLinuxTool(BuiltinTool):
def _invoke(
self,
user_id: str,
tool_parameters: dict[str, Any],
conversation_id: Optional[str] = None,
app_id: Optional[str] = None,
message_id: Optional[str] = None,
) -> Generator[ToolInvokeMessage, None, None]:
cluster = tool_parameters.get('cluster', '.*')
start_time = tool_parameters.get("startTime")
end_time = tool_parameters.get("endTime")
params = {
'metricName': '集群总览 - 总览 - 内存使用量 - Real Linux',
'params': {
'cluster': cluster
},
'startTime': start_time,
'endTime': end_time,
'step': APOUtils.get_step(start_time, end_time),
}
resp = requests.post(dify_config.APO_BACKEND_URL + '/api/metric/query', json=params)
list = resp.json()['result']
list = json.dumps({
'type': 'metric',
'display': True,
'unit': list['unit'],
'data': {
'timeseries': list['timeseries']
}
})
yield self.create_text_message(list)

@ -0,0 +1,53 @@
identity:
name: 实时集群内存使用字节数
author: APO
label:
en_US: Real-time cluster memory usage in bytes
zh_Hans: 实时集群内存使用字节数
description:
human:
en_US: Real-time cluster memory usage in bytes
zh_Hans: 实时集群内存使用字节数
llm: Real-time cluster memory usage in bytes
display:
type: metric
title: 集群总览 - 总览 - 内存使用量 - Real Linux
unit: "bytes"
parameters:
- name: cluster
type: string
required: False
label:
en_US: Cluster name
zh_Hans: 集群名称
human_description:
en_US: Cluster name
zh_Hans: 集群名称
llm_description: Cluster name
form: llm
- name: startTime
type: number
required: true
label:
en_US: startTime
zh_Hans: startTime
pt_BR: startTime
human_description:
en_US: Data query start time
zh_Hans: 开始时间 (微秒)
pt_BR: Data query start time
llm_description: Data query start time
form: llm
- name: endTime
type: number
required: true
label:
en_US: endTime
zh_Hans: endTime
pt_BR: endTime
human_description:
en_US: Data query end time
zh_Hans: 结束时间 (微秒)
pt_BR: Data query end time
llm_description: Data query start time
form: llm

@ -16,7 +16,7 @@ display:
parameters: parameters:
- name: cluster - name: cluster
type: string type: string
required: False required: false
label: label:
en_US: Cluster name en_US: Cluster name
zh_Hans: 集群名称 zh_Hans: 集群名称

@ -16,7 +16,7 @@ display:
parameters: parameters:
- name: cadvisor_job_name - name: cadvisor_job_name
type: string type: string
required: False required: false
label: label:
en_US: cAdvisor job name en_US: cAdvisor job name
zh_Hans: cAdvisor任务名称 zh_Hans: cAdvisor任务名称

@ -0,0 +1,44 @@
import json
from collections.abc import Generator
from typing import Any, Optional
import requests
from configs import dify_config
from core.tools.builtin_tool.tool import BuiltinTool
from core.tools.entities.tool_entities import ToolInvokeMessage
from libs.apo_utils import APOUtils
class ClusterNetworkReceiveBytesTool(BuiltinTool):
def _invoke(
self,
user_id: str,
tool_parameters: dict[str, Any],
conversation_id: Optional[str] = None,
app_id: Optional[str] = None,
message_id: Optional[str] = None,
) -> Generator[ToolInvokeMessage, None, None]:
cluster = tool_parameters.get('cluster', '.*')
start_time = tool_parameters.get("startTime")
end_time = tool_parameters.get("endTime")
params = {
'metricName': '集群总览 - 总览 - 集群整体网络带宽(按设备统计) - 接收',
'params': {
'cluster': cluster
},
'startTime': start_time,
'endTime': end_time,
'step': APOUtils.get_step(start_time, end_time),
}
resp = requests.post(dify_config.APO_BACKEND_URL + '/api/metric/query', json=params)
list = resp.json()['result']
list = json.dumps({
'type': 'metric',
'display': True,
'unit': list['unit'],
'data': {
'timeseries': list['timeseries']
}
})
yield self.create_text_message(list)

@ -0,0 +1,53 @@
identity:
name: 集群网络接收带宽(按设备统计,排除虚拟设备)
author: APO
label:
en_US: Cluster network receive bandwidth (by device, excluding virtual devices)
zh_Hans: 集群网络接收带宽(按设备统计,排除虚拟设备)
description:
human:
en_US: Cluster network receive bandwidth (by device, excluding virtual devices)
zh_Hans: 集群网络接收带宽(按设备统计,排除虚拟设备)
llm: Cluster network receive bandwidth (by device, excluding virtual devices)
display:
type: metric
title: 集群总览 - 总览 - 集群整体网络带宽(按设备统计) - 接收
unit: "bytes"
parameters:
- name: cluster
type: string
required: False
label:
en_US: Cluster name
zh_Hans: 集群名称
human_description:
en_US: Cluster name
zh_Hans: 集群名称
llm_description: Cluster name
form: llm
- name: startTime
type: number
required: true
label:
en_US: startTime
zh_Hans: startTime
pt_BR: startTime
human_description:
en_US: Data query start time
zh_Hans: 开始时间 (微秒)
pt_BR: Data query start time
llm_description: Data query start time
form: llm
- name: endTime
type: number
required: true
label:
en_US: endTime
zh_Hans: endTime
pt_BR: endTime
human_description:
en_US: Data query end time
zh_Hans: 结束时间 (微秒)
pt_BR: Data query end time
llm_description: Data query start time
form: llm

@ -0,0 +1,44 @@
import json
from collections.abc import Generator
from typing import Any, Optional
import requests
from configs import dify_config
from core.tools.builtin_tool.tool import BuiltinTool
from core.tools.entities.tool_entities import ToolInvokeMessage
from libs.apo_utils import APOUtils
class ClusterNetworkTransmitBytesTool(BuiltinTool):
def _invoke(
self,
user_id: str,
tool_parameters: dict[str, Any],
conversation_id: Optional[str] = None,
app_id: Optional[str] = None,
message_id: Optional[str] = None,
) -> Generator[ToolInvokeMessage, None, None]:
cluster = tool_parameters.get('cluster', '.*')
start_time = tool_parameters.get("startTime")
end_time = tool_parameters.get("endTime")
params = {
'metricName': '集群总览 - 总览 - 集群整体网络带宽(按设备统计) - 发送',
'params': {
'cluster': cluster
},
'startTime': start_time,
'endTime': end_time,
'step': APOUtils.get_step(start_time, end_time),
}
resp = requests.post(dify_config.APO_BACKEND_URL + '/api/metric/query', json=params)
list = resp.json()['result']
list = json.dumps({
'type': 'metric',
'display': True,
'unit': list['unit'],
'data': {
'timeseries': list['timeseries']
}
})
yield self.create_text_message(list)

@ -0,0 +1,53 @@
identity:
name: 集群网络发送带宽(按设备统计,排除虚拟设备)
author: APO
label:
en_US: Cluster network transmit bandwidth (by device, excluding virtual devices)
zh_Hans: 集群网络发送带宽(按设备统计,排除虚拟设备)
description:
human:
en_US: Cluster network transmit bandwidth (by device, excluding virtual devices)
zh_Hans: 集群网络发送带宽(按设备统计,排除虚拟设备)
llm: Cluster network transmit bandwidth (by device, excluding virtual devices)
display:
type: metric
title: 集群总览 - 总览 - 集群整体网络带宽(按设备统计) - 发送
unit: "bytes"
parameters:
- name: cluster
type: string
required: False
label:
en_US: Cluster name
zh_Hans: 集群名称
human_description:
en_US: Cluster name
zh_Hans: 集群名称
llm_description: Cluster name
form: llm
- name: startTime
type: number
required: true
label:
en_US: startTime
zh_Hans: startTime
pt_BR: startTime
human_description:
en_US: Data query start time
zh_Hans: 开始时间 (微秒)
pt_BR: Data query start time
llm_description: Data query start time
form: llm
- name: endTime
type: number
required: true
label:
en_US: endTime
zh_Hans: endTime
pt_BR: endTime
human_description:
en_US: Data query end time
zh_Hans: 结束时间 (微秒)
pt_BR: Data query end time
llm_description: Data query start time
form: llm

@ -0,0 +1,44 @@
import json
from collections.abc import Generator
from typing import Any, Optional
import requests
from configs import dify_config
from core.tools.builtin_tool.tool import BuiltinTool
from core.tools.entities.tool_entities import ToolInvokeMessage
from libs.apo_utils import APOUtils
class ClusterNodeCpuThrottleSecondsTool(BuiltinTool):
def _invoke(
self,
user_id: str,
tool_parameters: dict[str, Any],
conversation_id: Optional[str] = None,
app_id: Optional[str] = None,
message_id: Optional[str] = None,
) -> Generator[ToolInvokeMessage, None, None]:
cluster = tool_parameters.get('cluster')
start_time = tool_parameters.get("startTime")
end_time = tool_parameters.get("endTime")
params = {
'metricName': '集群总览 - 节点资源使用 - 节点CPU限流时长',
'params': {
**({'cluster': cluster} if cluster else {})
},
'startTime': start_time,
'endTime': end_time,
'step': APOUtils.get_step(start_time, end_time),
}
resp = requests.post(dify_config.APO_BACKEND_URL + '/api/metric/query', json=params)
list = resp.json()['result']
list = json.dumps({
'type': 'metric',
'display': True,
'unit': list['unit'],
'data': {
'timeseries': list['timeseries']
}
})
yield self.create_text_message(list)

@ -0,0 +1,53 @@
identity:
name: 节点CPU限流时长
author: APO
label:
en_US: Node CPU throttling time
zh_Hans: 节点CPU限流时长
description:
human:
en_US: Node CPU throttling time
zh_Hans: 节点CPU限流时长
llm: Node CPU throttling time
display:
type: metric
title: 集群总览 - 节点资源使用 - 节点CPU限流时长
unit: "s"
parameters:
- name: cluster
type: string
required: False
label:
en_US: Cluster name
zh_Hans: 集群名称
human_description:
en_US: Cluster name
zh_Hans: 集群名称
llm_description: Cluster name
form: llm
- name: startTime
type: number
required: true
label:
en_US: startTime
zh_Hans: startTime
pt_BR: startTime
human_description:
en_US: Data query start time
zh_Hans: 开始时间 (微秒)
pt_BR: Data query start time
llm_description: Data query start time
form: llm
- name: endTime
type: number
required: true
label:
en_US: endTime
zh_Hans: endTime
pt_BR: endTime
human_description:
en_US: Data query end time
zh_Hans: 结束时间 (微秒)
pt_BR: Data query end time
llm_description: Data query start time
form: llm

@ -0,0 +1,44 @@
import json
from collections.abc import Generator
from typing import Any, Optional
import requests
from configs import dify_config
from core.tools.builtin_tool.tool import BuiltinTool
from core.tools.entities.tool_entities import ToolInvokeMessage
from libs.apo_utils import APOUtils
class ClusterNodeLoopbackReceiveBytesTool(BuiltinTool):
def _invoke(
self,
user_id: str,
tool_parameters: dict[str, Any],
conversation_id: Optional[str] = None,
app_id: Optional[str] = None,
message_id: Optional[str] = None,
) -> Generator[ToolInvokeMessage, None, None]:
cluster = tool_parameters.get('cluster')
start_time = tool_parameters.get("startTime")
end_time = tool_parameters.get("endTime")
params = {
'metricName': '集群总览 - 节点资源使用 - 节点的网络使用量(仅回环) - Received bytes in',
'params': {
**({'cluster': cluster} if cluster else {})
},
'startTime': start_time,
'endTime': end_time,
'step': APOUtils.get_step(start_time, end_time),
}
resp = requests.post(dify_config.APO_BACKEND_URL + '/api/metric/query', json=params)
list = resp.json()['result']
list = json.dumps({
'type': 'metric',
'display': True,
'unit': list['unit'],
'data': {
'timeseries': list['timeseries']
}
})
yield self.create_text_message(list)

@ -0,0 +1,53 @@
identity:
name: 节点回环网络接收带宽, 仅回环设备
author: APO
label:
en_US: Node loopback network receive bandwidth (loopback devices only)
zh_Hans: 节点回环网络接收带宽, 仅回环设备
description:
human:
en_US: Node loopback network receive bandwidth (loopback devices only)
zh_Hans: 节点回环网络接收带宽, 仅回环设备
llm: Node loopback network receive bandwidth (loopback devices only)
display:
type: metric
title: 集群总览 - 节点资源使用 - 节点的网络使用量(仅回环) - Received bytes in
unit: "bytes"
parameters:
- name: cluster
type: string
required: False
label:
en_US: Cluster name
zh_Hans: 集群名称
human_description:
en_US: Cluster name
zh_Hans: 集群名称
llm_description: Cluster name
form: llm
- name: startTime
type: number
required: true
label:
en_US: startTime
zh_Hans: startTime
pt_BR: startTime
human_description:
en_US: Data query start time
zh_Hans: 开始时间 (微秒)
pt_BR: Data query start time
llm_description: Data query start time
form: llm
- name: endTime
type: number
required: true
label:
en_US: endTime
zh_Hans: endTime
pt_BR: endTime
human_description:
en_US: Data query end time
zh_Hans: 结束时间 (微秒)
pt_BR: Data query end time
llm_description: Data query start time
form: llm

@ -0,0 +1,44 @@
import json
from collections.abc import Generator
from typing import Any, Optional
import requests
from configs import dify_config
from core.tools.builtin_tool.tool import BuiltinTool
from core.tools.entities.tool_entities import ToolInvokeMessage
from libs.apo_utils import APOUtils
class ClusterNodeLoopbackTransmitBytesTool(BuiltinTool):
def _invoke(
self,
user_id: str,
tool_parameters: dict[str, Any],
conversation_id: Optional[str] = None,
app_id: Optional[str] = None,
message_id: Optional[str] = None,
) -> Generator[ToolInvokeMessage, None, None]:
cluster = tool_parameters.get('cluster')
start_time = tool_parameters.get("startTime")
end_time = tool_parameters.get("endTime")
params = {
'metricName': '集群总览 - 节点资源使用 - 节点的网络使用量(仅回环) - Transmitted bytes in',
'params': {
**({'cluster': cluster} if cluster else {})
},
'startTime': start_time,
'endTime': end_time,
'step': APOUtils.get_step(start_time, end_time),
}
resp = requests.post(dify_config.APO_BACKEND_URL + '/api/metric/query', json=params)
list = resp.json()['result']
list = json.dumps({
'type': 'metric',
'display': True,
'unit': list['unit'],
'data': {
'timeseries': list['timeseries']
}
})
yield self.create_text_message(list)

@ -0,0 +1,53 @@
identity:
name: 节点回环网络发送带宽, 仅回环设备
author: APO
label:
en_US: Node loopback network transmit bandwidth (loopback devices only)
zh_Hans: 节点回环网络发送带宽, 仅回环设备
description:
human:
en_US: Node loopback network transmit bandwidth (loopback devices only)
zh_Hans: 节点回环网络发送带宽, 仅回环设备
llm: Node loopback network transmit bandwidth (loopback devices only)
display:
type: metric
title: 集群总览 - 节点资源使用 - 节点的网络使用量(仅回环) - Transmitted bytes in
unit: "bytes"
parameters:
- name: cluster
type: string
required: False
label:
en_US: Cluster name
zh_Hans: 集群名称
human_description:
en_US: Cluster name
zh_Hans: 集群名称
llm_description: Cluster name
form: llm
- name: startTime
type: number
required: true
label:
en_US: startTime
zh_Hans: startTime
pt_BR: startTime
human_description:
en_US: Data query start time
zh_Hans: 开始时间 (微秒)
pt_BR: Data query start time
llm_description: Data query start time
form: llm
- name: endTime
type: number
required: true
label:
en_US: endTime
zh_Hans: endTime
pt_BR: endTime
human_description:
en_US: Data query end time
zh_Hans: 结束时间 (微秒)
pt_BR: Data query end time
llm_description: Data query start time
form: llm

@ -0,0 +1,44 @@
import json
from collections.abc import Generator
from typing import Any, Optional
import requests
from configs import dify_config
from core.tools.builtin_tool.tool import BuiltinTool
from core.tools.entities.tool_entities import ToolInvokeMessage
from libs.apo_utils import APOUtils
class ClusterNodeNetworkReceiveBytesTool(BuiltinTool):
def _invoke(
self,
user_id: str,
tool_parameters: dict[str, Any],
conversation_id: Optional[str] = None,
app_id: Optional[str] = None,
message_id: Optional[str] = None,
) -> Generator[ToolInvokeMessage, None, None]:
cluster = tool_parameters.get('cluster')
start_time = tool_parameters.get("startTime")
end_time = tool_parameters.get("endTime")
params = {
'metricName': '集群总览 - 节点资源使用 - 节点的网络使用量 - 接收',
'params': {
**({'cluster': cluster} if cluster else {})
},
'startTime': start_time,
'endTime': end_time,
'step': APOUtils.get_step(start_time, end_time),
}
resp = requests.post(dify_config.APO_BACKEND_URL + '/api/metric/query', json=params)
list = resp.json()['result']
list = json.dumps({
'type': 'metric',
'display': True,
'unit': list['unit'],
'data': {
'timeseries': list['timeseries']
}
})
yield self.create_text_message(list)

@ -0,0 +1,53 @@
identity:
name: 节点网络接收带宽
author: APO
label:
en_US: Node network receive bandwidth
zh_Hans: 节点网络接收带宽
description:
human:
en_US: Node network receive bandwidth
zh_Hans: 节点网络接收带宽
llm: Node network receive bandwidth
display:
type: metric
title: 集群总览 - 节点资源使用 - 节点的网络使用量 - 接收
unit: "bytes"
parameters:
- name: cluster
type: string
required: False
label:
en_US: Cluster name
zh_Hans: 集群名称
human_description:
en_US: Cluster name
zh_Hans: 集群名称
llm_description: Cluster name
form: llm
- name: startTime
type: number
required: true
label:
en_US: startTime
zh_Hans: startTime
pt_BR: startTime
human_description:
en_US: Data query start time
zh_Hans: 开始时间 (微秒)
pt_BR: Data query start time
llm_description: Data query start time
form: llm
- name: endTime
type: number
required: true
label:
en_US: endTime
zh_Hans: endTime
pt_BR: endTime
human_description:
en_US: Data query end time
zh_Hans: 结束时间 (微秒)
pt_BR: Data query end time
llm_description: Data query start time
form: llm

@ -0,0 +1,44 @@
import json
from collections.abc import Generator
from typing import Any, Optional
import requests
from configs import dify_config
from core.tools.builtin_tool.tool import BuiltinTool
from core.tools.entities.tool_entities import ToolInvokeMessage
from libs.apo_utils import APOUtils
class ClusterNodeNetworkReceiveExclVirtualBytesTool(BuiltinTool):
def _invoke(
self,
user_id: str,
tool_parameters: dict[str, Any],
conversation_id: Optional[str] = None,
app_id: Optional[str] = None,
message_id: Optional[str] = None,
) -> Generator[ToolInvokeMessage, None, None]:
cluster = tool_parameters.get('cluster')
start_time = tool_parameters.get("startTime")
end_time = tool_parameters.get("endTime")
params = {
'metricName': '集群总览 - 节点资源使用 - 节点的网络使用量(不含回环/虚拟设备) - Received bytes in',
'params': {
**({'cluster': cluster} if cluster else {})
},
'startTime': start_time,
'endTime': end_time,
'step': APOUtils.get_step(start_time, end_time),
}
resp = requests.post(dify_config.APO_BACKEND_URL + '/api/metric/query', json=params)
list = resp.json()['result']
list = json.dumps({
'type': 'metric',
'display': True,
'unit': list['unit'],
'data': {
'timeseries': list['timeseries']
}
})
yield self.create_text_message(list)

@ -0,0 +1,53 @@
identity:
name: 节点网络接收带宽(排除虚拟和回环设备)
author: APO
label:
en_US: Node network receive bandwidth (excluding virtual and loopback devices)
zh_Hans: 节点网络接收带宽(排除虚拟和回环设备)
description:
human:
en_US: Node network receive bandwidth (excluding virtual and loopback devices)
zh_Hans: 节点网络接收带宽(排除虚拟和回环设备)
llm: Node network receive bandwidth (excluding virtual and loopback devices)
display:
type: metric
title: 集群总览 - 节点资源使用 - 节点的网络使用量(不含回环/虚拟设备) - Received bytes in
unit: "bytes"
parameters:
- name: cluster
type: string
required: False
label:
en_US: Cluster name
zh_Hans: 集群名称
human_description:
en_US: Cluster name
zh_Hans: 集群名称
llm_description: Cluster name
form: llm
- name: startTime
type: number
required: true
label:
en_US: startTime
zh_Hans: startTime
pt_BR: startTime
human_description:
en_US: Data query start time
zh_Hans: 开始时间 (微秒)
pt_BR: Data query start time
llm_description: Data query start time
form: llm
- name: endTime
type: number
required: true
label:
en_US: endTime
zh_Hans: endTime
pt_BR: endTime
human_description:
en_US: Data query end time
zh_Hans: 结束时间 (微秒)
pt_BR: Data query end time
llm_description: Data query start time
form: llm

@ -0,0 +1,44 @@
import json
from collections.abc import Generator
from typing import Any, Optional
import requests
from configs import dify_config
from core.tools.builtin_tool.tool import BuiltinTool
from core.tools.entities.tool_entities import ToolInvokeMessage
from libs.apo_utils import APOUtils
class ClusterNodeNetworkTransmitBytesTool(BuiltinTool):
def _invoke(
self,
user_id: str,
tool_parameters: dict[str, Any],
conversation_id: Optional[str] = None,
app_id: Optional[str] = None,
message_id: Optional[str] = None,
) -> Generator[ToolInvokeMessage, None, None]:
cluster = tool_parameters.get('cluster')
start_time = tool_parameters.get("startTime")
end_time = tool_parameters.get("endTime")
params = {
'metricName': '集群总览 - 节点资源使用 - 节点的网络使用量 - 发送',
'params': {
**({'cluster': cluster} if cluster else {})
},
'startTime': start_time,
'endTime': end_time,
'step': APOUtils.get_step(start_time, end_time),
}
resp = requests.post(dify_config.APO_BACKEND_URL + '/api/metric/query', json=params)
list = resp.json()['result']
list = json.dumps({
'type': 'metric',
'display': True,
'unit': list['unit'],
'data': {
'timeseries': list['timeseries']
}
})
yield self.create_text_message(list)

@ -0,0 +1,53 @@
identity:
name: 节点网络发送带宽
author: APO
label:
en_US: Node network transmit bandwidth
zh_Hans: 节点网络发送带宽
description:
human:
en_US: Node network transmit bandwidth
zh_Hans: 节点网络发送带宽
llm: Node network transmit bandwidth
display:
type: metric
title: 集群总览 - 节点资源使用 - 节点的网络使用量 - 发送
unit: "bytes"
parameters:
- name: cluster
type: string
required: False
label:
en_US: Cluster name
zh_Hans: 集群名称
human_description:
en_US: Cluster name
zh_Hans: 集群名称
llm_description: Cluster name
form: llm
- name: startTime
type: number
required: true
label:
en_US: startTime
zh_Hans: startTime
pt_BR: startTime
human_description:
en_US: Data query start time
zh_Hans: 开始时间 (微秒)
pt_BR: Data query start time
llm_description: Data query start time
form: llm
- name: endTime
type: number
required: true
label:
en_US: endTime
zh_Hans: endTime
pt_BR: endTime
human_description:
en_US: Data query end time
zh_Hans: 结束时间 (微秒)
pt_BR: Data query end time
llm_description: Data query start time
form: llm

@ -0,0 +1,44 @@
import json
from collections.abc import Generator
from typing import Any, Optional
import requests
from configs import dify_config
from core.tools.builtin_tool.tool import BuiltinTool
from core.tools.entities.tool_entities import ToolInvokeMessage
from libs.apo_utils import APOUtils
class ClusterNodeNetworkTransmitExclVirtualBytesTool(BuiltinTool):
def _invoke(
self,
user_id: str,
tool_parameters: dict[str, Any],
conversation_id: Optional[str] = None,
app_id: Optional[str] = None,
message_id: Optional[str] = None,
) -> Generator[ToolInvokeMessage, None, None]:
cluster = tool_parameters.get('cluster')
start_time = tool_parameters.get("startTime")
end_time = tool_parameters.get("endTime")
params = {
'metricName': '集群总览 - 节点资源使用 - 节点的网络使用量(不含回环/虚拟设备) - Transmitted bytes in',
'params': {
**({'cluster': cluster} if cluster else {})
},
'startTime': start_time,
'endTime': end_time,
'step': APOUtils.get_step(start_time, end_time),
}
resp = requests.post(dify_config.APO_BACKEND_URL + '/api/metric/query', json=params)
list = resp.json()['result']
list = json.dumps({
'type': 'metric',
'display': True,
'unit': list['unit'],
'data': {
'timeseries': list['timeseries']
}
})
yield self.create_text_message(list)

@ -0,0 +1,53 @@
identity:
name: 节点网络发送带宽(排除虚拟和回环设备)
author: APO
label:
en_US: Node network transmit bandwidth (excluding virtual and loopback devices)
zh_Hans: 节点网络发送带宽(排除虚拟和回环设备)
description:
human:
en_US: Node network transmit bandwidth (excluding virtual and loopback devices)
zh_Hans: 节点网络发送带宽(排除虚拟和回环设备)
llm: Node network transmit bandwidth (excluding virtual and loopback devices)
display:
type: metric
title: 集群总览 - 节点资源使用 - 节点的网络使用量(不含回环/虚拟设备) - Transmitted bytes in
unit: "bytes"
parameters:
- name: cluster
type: string
required: False
label:
en_US: Cluster name
zh_Hans: 集群名称
human_description:
en_US: Cluster name
zh_Hans: 集群名称
llm_description: Cluster name
form: llm
- name: startTime
type: number
required: true
label:
en_US: startTime
zh_Hans: startTime
pt_BR: startTime
human_description:
en_US: Data query start time
zh_Hans: 开始时间 (微秒)
pt_BR: Data query start time
llm_description: Data query start time
form: llm
- name: endTime
type: number
required: true
label:
en_US: endTime
zh_Hans: endTime
pt_BR: endTime
human_description:
en_US: Data query end time
zh_Hans: 结束时间 (微秒)
pt_BR: Data query end time
llm_description: Data query start time
form: llm

@ -0,0 +1,44 @@
import json
from collections.abc import Generator
from typing import Any, Optional
import requests
from configs import dify_config
from core.tools.builtin_tool.tool import BuiltinTool
from core.tools.entities.tool_entities import ToolInvokeMessage
from libs.apo_utils import APOUtils
class ClusterOverviewCpuUtilizationLinuxTool(BuiltinTool):
def _invoke(
self,
user_id: str,
tool_parameters: dict[str, Any],
conversation_id: Optional[str] = None,
app_id: Optional[str] = None,
message_id: Optional[str] = None,
) -> Generator[ToolInvokeMessage, None, None]:
cluster = tool_parameters.get('cluster', '.*')
start_time = tool_parameters.get("startTime")
end_time = tool_parameters.get("endTime")
params = {
'metricName': '集群总览 - 总览 - 集群总CPU使用率 - Real Linux',
'params': {
'cluster': cluster
},
'startTime': start_time,
'endTime': end_time,
'step': APOUtils.get_step(start_time, end_time),
}
resp = requests.post(dify_config.APO_BACKEND_URL + '/api/metric/query', json=params)
list = resp.json()['result']
list = json.dumps({
'type': 'metric',
'display': True,
'unit': list['unit'],
'data': {
'timeseries': list['timeseries']
}
})
yield self.create_text_message(list)

@ -0,0 +1,53 @@
identity:
name: 实时集群CPU使用率
author: APO
label:
en_US: Real-time cluster CPU utilization rate
zh_Hans: 实时集群CPU使用率
description:
human:
en_US: Real-time cluster CPU utilization rate
zh_Hans: 实时集群CPU使用率
llm: Real-time cluster CPU utilization rate
display:
type: metric
title: 集群总览 - 总览 - 集群总CPU使用率 - Real Linux
unit: "percentunit"
parameters:
- name: cluster
type: string
required: False
label:
en_US: Cluster name
zh_Hans: 集群名称
human_description:
en_US: Cluster name
zh_Hans: 集群名称
llm_description: Cluster name
form: llm
- name: startTime
type: number
required: true
label:
en_US: startTime
zh_Hans: startTime
pt_BR: startTime
human_description:
en_US: Data query start time
zh_Hans: 开始时间 (微秒)
pt_BR: Data query start time
llm_description: Data query start time
form: llm
- name: endTime
type: number
required: true
label:
en_US: endTime
zh_Hans: endTime
pt_BR: endTime
human_description:
en_US: Data query end time
zh_Hans: 结束时间 (微秒)
pt_BR: Data query end time
llm_description: Data query start time
form: llm

@ -0,0 +1,44 @@
import json
from collections.abc import Generator
from typing import Any, Optional
import requests
from configs import dify_config
from core.tools.builtin_tool.tool import BuiltinTool
from core.tools.entities.tool_entities import ToolInvokeMessage
from libs.apo_utils import APOUtils
class ClusterOverviewMemoryUtilizationLinuxTool(BuiltinTool):
def _invoke(
self,
user_id: str,
tool_parameters: dict[str, Any],
conversation_id: Optional[str] = None,
app_id: Optional[str] = None,
message_id: Optional[str] = None,
) -> Generator[ToolInvokeMessage, None, None]:
cluster = tool_parameters.get('cluster', '.*')
start_time = tool_parameters.get("startTime")
end_time = tool_parameters.get("endTime")
params = {
'metricName': '集群总览 - 总览 - 集群总内存使用率 - Real Linux',
'params': {
'cluster': cluster
},
'startTime': start_time,
'endTime': end_time,
'step': APOUtils.get_step(start_time, end_time),
}
resp = requests.post(dify_config.APO_BACKEND_URL + '/api/metric/query', json=params)
list = resp.json()['result']
list = json.dumps({
'type': 'metric',
'display': True,
'unit': list['unit'],
'data': {
'timeseries': list['timeseries']
}
})
yield self.create_text_message(list)

@ -0,0 +1,53 @@
identity:
name: 实时集群内存使用率
author: APO
label:
en_US: Real-time cluster memory utilization rate
zh_Hans: 实时集群内存使用率
description:
human:
en_US: Real-time cluster memory utilization rate
zh_Hans: 实时集群内存使用率
llm: Real-time cluster memory utilization rate
display:
type: metric
title: 集群总览 - 总览 - 集群总内存使用率 - Real Linux
unit: "percentunit"
parameters:
- name: cluster
type: string
required: False
label:
en_US: Cluster name
zh_Hans: 集群名称
human_description:
en_US: Cluster name
zh_Hans: 集群名称
llm_description: Cluster name
form: llm
- name: startTime
type: number
required: true
label:
en_US: startTime
zh_Hans: startTime
pt_BR: startTime
human_description:
en_US: Data query start time
zh_Hans: 开始时间 (微秒)
pt_BR: Data query start time
llm_description: Data query start time
form: llm
- name: endTime
type: number
required: true
label:
en_US: endTime
zh_Hans: endTime
pt_BR: endTime
human_description:
en_US: Data query end time
zh_Hans: 结束时间 (微秒)
pt_BR: Data query end time
llm_description: Data query start time
form: llm

@ -0,0 +1,44 @@
import json
from collections.abc import Generator
from typing import Any, Optional
import requests
from configs import dify_config
from core.tools.builtin_tool.tool import BuiltinTool
from core.tools.entities.tool_entities import ToolInvokeMessage
from libs.apo_utils import APOUtils
class ClusterOverviewNamespaceCountTool(BuiltinTool):
def _invoke(
self,
user_id: str,
tool_parameters: dict[str, Any],
conversation_id: Optional[str] = None,
app_id: Optional[str] = None,
message_id: Optional[str] = None,
) -> Generator[ToolInvokeMessage, None, None]:
cadvisor_job_name = tool_parameters.get('cadvisor_job_name', '.*')
start_time = tool_parameters.get("startTime")
end_time = tool_parameters.get("endTime")
params = {
'metricName': '集群总览 - 总览 - 命名空间数量',
'params': {
'cadvisor_job_name': cadvisor_job_name
},
'startTime': start_time,
'endTime': end_time,
'step': APOUtils.get_step(start_time, end_time),
}
resp = requests.post(dify_config.APO_BACKEND_URL + '/api/metric/query', json=params)
list = resp.json()['result']
list = json.dumps({
'type': 'metric',
'display': True,
'unit': list['unit'],
'data': {
'timeseries': list['timeseries']
}
})
yield self.create_text_message(list)

@ -0,0 +1,53 @@
identity:
name: K8s集群中命名空间的数量
author: APO
label:
en_US: Number of namespaces in Kubernetes cluster
zh_Hans: K8s集群中命名空间的数量
description:
human:
en_US: Number of namespaces in Kubernetes cluster
zh_Hans: K8s集群中命名空间的数量
llm: Number of namespaces in Kubernetes cluster
display:
type: metric
title: 集群总览 - 总览 - 命名空间数量
unit: "count"
parameters:
- name: cadvisor_job_name
type: string
required: False
label:
en_US: cAdvisor job name
zh_Hans: cAdvisor任务名称
human_description:
en_US: cAdvisor job name
zh_Hans: cAdvisor任务名称
llm_description: cAdvisor job name
form: llm
- name: startTime
type: number
required: true
label:
en_US: startTime
zh_Hans: startTime
pt_BR: startTime
human_description:
en_US: Data query start time
zh_Hans: 开始时间 (微秒)
pt_BR: Data query start time
llm_description: Data query start time
form: llm
- name: endTime
type: number
required: true
label:
en_US: endTime
zh_Hans: endTime
pt_BR: endTime
human_description:
en_US: Data query end time
zh_Hans: 结束时间 (微秒)
pt_BR: Data query end time
llm_description: Data query start time
form: llm

@ -0,0 +1,44 @@
import json
from collections.abc import Generator
from typing import Any, Optional
import requests
from configs import dify_config
from core.tools.builtin_tool.tool import BuiltinTool
from core.tools.entities.tool_entities import ToolInvokeMessage
from libs.apo_utils import APOUtils
class ClusterOverviewNodeCountTool(BuiltinTool):
def _invoke(
self,
user_id: str,
tool_parameters: dict[str, Any],
conversation_id: Optional[str] = None,
app_id: Optional[str] = None,
message_id: Optional[str] = None,
) -> Generator[ToolInvokeMessage, None, None]:
cadvisor_job_name = tool_parameters.get('cadvisor_job_name', '.*')
start_time = tool_parameters.get("startTime")
end_time = tool_parameters.get("endTime")
params = {
'metricName': '集群总览 - 总览 - 节点数',
'params': {
'cadvisor_job_name': cadvisor_job_name
},
'startTime': start_time,
'endTime': end_time,
'step': APOUtils.get_step(start_time, end_time),
}
resp = requests.post(dify_config.APO_BACKEND_URL + '/api/metric/query', json=params)
list = resp.json()['result']
list = json.dumps({
'type': 'metric',
'display': True,
'unit': list['unit'],
'data': {
'timeseries': list['timeseries']
}
})
yield self.create_text_message(list)

@ -0,0 +1,53 @@
identity:
name: K8s集群中节点的数量
author: APO
label:
en_US: Number of nodes in Kubernetes cluster
zh_Hans: K8s集群中节点的数量
description:
human:
en_US: Number of nodes in Kubernetes cluster
zh_Hans: K8s集群中节点的数量
llm: Number of nodes in Kubernetes cluster
display:
type: metric
title: 集群总览 - 总览 - 节点数
unit: "count"
parameters:
- name: cadvisor_job_name
type: string
required: False
label:
en_US: cAdvisor job name
zh_Hans: cAdvisor任务名称
human_description:
en_US: cAdvisor job name
zh_Hans: cAdvisor任务名称
llm_description: cAdvisor job name
form: llm
- name: startTime
type: number
required: true
label:
en_US: startTime
zh_Hans: startTime
pt_BR: startTime
human_description:
en_US: Data query start time
zh_Hans: 开始时间 (微秒)
pt_BR: Data query start time
llm_description: Data query start time
form: llm
- name: endTime
type: number
required: true
label:
en_US: endTime
zh_Hans: endTime
pt_BR: endTime
human_description:
en_US: Data query end time
zh_Hans: 结束时间 (微秒)
pt_BR: Data query end time
llm_description: Data query start time
form: llm

@ -0,0 +1,44 @@
import json
from collections.abc import Generator
from typing import Any, Optional
import requests
from configs import dify_config
from core.tools.builtin_tool.tool import BuiltinTool
from core.tools.entities.tool_entities import ToolInvokeMessage
from libs.apo_utils import APOUtils
class ClusterRunningPodsCountTool(BuiltinTool):
def _invoke(
self,
user_id: str,
tool_parameters: dict[str, Any],
conversation_id: Optional[str] = None,
app_id: Optional[str] = None,
message_id: Optional[str] = None,
) -> Generator[ToolInvokeMessage, None, None]:
cadvisor_job_name = tool_parameters.get('cadvisor_job_name', '.*')
start_time = tool_parameters.get("startTime")
end_time = tool_parameters.get("endTime")
params = {
'metricName': '集群总览 - 总览 - 运行的Pod数',
'params': {
'cadvisor_job_name': cadvisor_job_name
},
'startTime': start_time,
'endTime': end_time,
'step': APOUtils.get_step(start_time, end_time),
}
resp = requests.post(dify_config.APO_BACKEND_URL + '/api/metric/query', json=params)
list = resp.json()['result']
list = json.dumps({
'type': 'metric',
'display': True,
'unit': list['unit'],
'data': {
'timeseries': list['timeseries']
}
})
yield self.create_text_message(list)

@ -0,0 +1,53 @@
identity:
name: K8s集群中运行中的Pod数量
author: APO
label:
en_US: Number of running Pods in Kubernetes cluster
zh_Hans: K8s集群中运行中的Pod数量
description:
human:
en_US: Number of running Pods in Kubernetes cluster
zh_Hans: K8s集群中运行中的Pod数量
llm: Number of running Pods in Kubernetes cluster
display:
type: metric
title: 集群总览 - 总览 - 运行的Pod数
unit: "count"
parameters:
- name: cadvisor_job_name
type: string
required: False
label:
en_US: cAdvisor job name
zh_Hans: cAdvisor任务名称
human_description:
en_US: cAdvisor job name
zh_Hans: cAdvisor任务名称
llm_description: cAdvisor job name
form: llm
- name: startTime
type: number
required: true
label:
en_US: startTime
zh_Hans: startTime
pt_BR: startTime
human_description:
en_US: Data query start time
zh_Hans: 开始时间 (微秒)
pt_BR: Data query start time
llm_description: Data query start time
form: llm
- name: endTime
type: number
required: true
label:
en_US: endTime
zh_Hans: endTime
pt_BR: endTime
human_description:
en_US: Data query end time
zh_Hans: 结束时间 (微秒)
pt_BR: Data query end time
llm_description: Data query start time
form: llm

@ -0,0 +1,44 @@
import json
from collections.abc import Generator
from typing import Any, Optional
import requests
from configs import dify_config
from core.tools.builtin_tool.tool import BuiltinTool
from core.tools.entities.tool_entities import ToolInvokeMessage
from libs.apo_utils import APOUtils
class ClusterTotalCpuCapacityTool(BuiltinTool):
def _invoke(
self,
user_id: str,
tool_parameters: dict[str, Any],
conversation_id: Optional[str] = None,
app_id: Optional[str] = None,
message_id: Optional[str] = None,
) -> Generator[ToolInvokeMessage, None, None]:
cluster = tool_parameters.get('cluster', '.*')
start_time = tool_parameters.get("startTime")
end_time = tool_parameters.get("endTime")
params = {
'metricName': '集群总览 - 总览 - CPU使用量 - Total',
'params': {
'cluster': cluster
},
'startTime': start_time,
'endTime': end_time,
'step': APOUtils.get_step(start_time, end_time),
}
resp = requests.post(dify_config.APO_BACKEND_URL + '/api/metric/query', json=params)
list = resp.json()['result']
list = json.dumps({
'type': 'metric',
'display': True,
'unit': list['unit'],
'data': {
'timeseries': list['timeseries']
}
})
yield self.create_text_message(list)

@ -0,0 +1,53 @@
identity:
name: 集群总可用CPU核数
author: APO
label:
en_US: Total available CPU cores in cluster
zh_Hans: 集群总可用CPU核数
description:
human:
en_US: Total available CPU cores in cluster
zh_Hans: 集群总可用CPU核数
llm: Total available CPU cores in cluster
display:
type: metric
title: 集群总览 - 总览 - CPU使用量 - Total
unit: "core"
parameters:
- name: cluster
type: string
required: False
label:
en_US: Cluster name
zh_Hans: 集群名称
human_description:
en_US: Cluster name
zh_Hans: 集群名称
llm_description: Cluster name
form: llm
- name: startTime
type: number
required: true
label:
en_US: startTime
zh_Hans: startTime
pt_BR: startTime
human_description:
en_US: Data query start time
zh_Hans: 开始时间 (微秒)
pt_BR: Data query start time
llm_description: Data query start time
form: llm
- name: endTime
type: number
required: true
label:
en_US: endTime
zh_Hans: endTime
pt_BR: endTime
human_description:
en_US: Data query end time
zh_Hans: 结束时间 (微秒)
pt_BR: Data query end time
llm_description: Data query start time
form: llm

@ -0,0 +1,44 @@
import json
from collections.abc import Generator
from typing import Any, Optional
import requests
from configs import dify_config
from core.tools.builtin_tool.tool import BuiltinTool
from core.tools.entities.tool_entities import ToolInvokeMessage
from libs.apo_utils import APOUtils
class ClusterTotalMemoryCapacityTool(BuiltinTool):
def _invoke(
self,
user_id: str,
tool_parameters: dict[str, Any],
conversation_id: Optional[str] = None,
app_id: Optional[str] = None,
message_id: Optional[str] = None,
) -> Generator[ToolInvokeMessage, None, None]:
cluster = tool_parameters.get('cluster', '.*')
start_time = tool_parameters.get("startTime")
end_time = tool_parameters.get("endTime")
params = {
'metricName': '集群总览 - 总览 - 内存使用量 - Total',
'params': {
'cluster': cluster
},
'startTime': start_time,
'endTime': end_time,
'step': APOUtils.get_step(start_time, end_time),
}
resp = requests.post(dify_config.APO_BACKEND_URL + '/api/metric/query', json=params)
list = resp.json()['result']
list = json.dumps({
'type': 'metric',
'display': True,
'unit': list['unit'],
'data': {
'timeseries': list['timeseries']
}
})
yield self.create_text_message(list)

@ -0,0 +1,53 @@
identity:
name: 集群总可用内存字节数
author: APO
label:
en_US: Total available memory in bytes
zh_Hans: 集群总可用内存字节数
description:
human:
en_US: Total available memory in bytes
zh_Hans: 集群总可用内存字节数
llm: Total available memory in bytes
display:
type: metric
title: 集群总览 - 总览 - 内存使用量 - Total
unit: "bytes"
parameters:
- name: cluster
type: string
required: False
label:
en_US: Cluster name
zh_Hans: 集群名称
human_description:
en_US: Cluster name
zh_Hans: 集群名称
llm_description: Cluster name
form: llm
- name: startTime
type: number
required: true
label:
en_US: startTime
zh_Hans: startTime
pt_BR: startTime
human_description:
en_US: Data query start time
zh_Hans: 开始时间 (微秒)
pt_BR: Data query start time
llm_description: Data query start time
form: llm
- name: endTime
type: number
required: true
label:
en_US: endTime
zh_Hans: endTime
pt_BR: endTime
human_description:
en_US: Data query end time
zh_Hans: 结束时间 (微秒)
pt_BR: Data query end time
llm_description: Data query start time
form: llm

@ -18,7 +18,7 @@ description:
parameters: parameters:
- name: pod - name: pod
type: string type: string
required: true required: false
label: label:
en_US: pod en_US: pod
zh_Hans: pod zh_Hans: pod
@ -31,7 +31,7 @@ parameters:
form: llm form: llm
- name: namespace - name: namespace
type: string type: string
required: true required: false
label: label:
en_US: namespace en_US: namespace
zh_Hans: namespace zh_Hans: namespace

@ -18,7 +18,7 @@ description:
parameters: parameters:
- name: pod - name: pod
type: string type: string
required: true required: false
label: label:
en_US: pod en_US: pod
zh_Hans: pod zh_Hans: pod
@ -31,7 +31,7 @@ parameters:
form: llm form: llm
- name: namespace - name: namespace
type: string type: string
required: true required: false
label: label:
en_US: namespace en_US: namespace
zh_Hans: namespace zh_Hans: namespace

@ -0,0 +1,48 @@
import json
from collections.abc import Generator
from typing import Any, Optional
import requests
from configs import dify_config
from core.tools.builtin_tool.tool import BuiltinTool
from core.tools.entities.tool_entities import ToolInvokeMessage
from libs.apo_utils import APOUtils
class ContainerCpuThrottleContainerdSecondsTool(BuiltinTool):
def _invoke(
self,
user_id: str,
tool_parameters: dict[str, Any],
conversation_id: Optional[str] = None,
app_id: Optional[str] = None,
message_id: Optional[str] = None,
) -> Generator[ToolInvokeMessage, None, None]:
cadvisor_job_name = tool_parameters.get('cadvisor_job_name', '.*')
namespace = tool_parameters.get('namespace', '.*')
pod = tool_parameters.get('pod', '.*')
start_time = tool_parameters.get("startTime")
end_time = tool_parameters.get("endTime")
params = {
'metricName': '基础设施情况 - 容器CPU - 容器CPU节流时间 - Containerd',
'params': {
'cadvisor_job_name': cadvisor_job_name,
'namespace': namespace,
'pod': pod
},
'startTime': start_time,
'endTime': end_time,
'step': APOUtils.get_step(start_time, end_time),
}
resp = requests.post(dify_config.APO_BACKEND_URL + '/api/metric/query', json=params)
list = resp.json()['result']
list = json.dumps({
'type': 'metric',
'display': True,
'unit': list['unit'],
'data': {
'timeseries': list['timeseries']
}
})
yield self.create_text_message(list)

@ -0,0 +1,75 @@
identity:
name: 容器CPU节流时长(使用Containerd容器运行时,按容器和Pod统计)
author: APO
label:
en_US: Container CPU throttling time (Containerd runtime, aggregated by container and Pod)
zh_Hans: 容器CPU节流时长(使用Containerd容器运行时,按容器和Pod统计)
description:
human:
en_US: Container CPU throttling time (Containerd runtime, aggregated by container and Pod)
zh_Hans: 容器CPU节流时长(使用Containerd容器运行时,按容器和Pod统计)
llm: Container CPU throttling time (Containerd runtime, aggregated by container and Pod)
display:
type: metric
title: 基础设施情况 - 容器CPU - 容器CPU节流时间 - Containerd
unit: "s"
parameters:
- name: cadvisor_job_name
type: string
required: False
label:
en_US: cAdvisor job name
zh_Hans: cAdvisor任务名称
human_description:
en_US: cAdvisor job name
zh_Hans: cAdvisor任务名称
llm_description: cAdvisor job name
form: llm
- name: namespace
type: string
required: False
label:
en_US: Namespace
zh_Hans: 命名空间
human_description:
en_US: Namespace
zh_Hans: 命名空间
llm_description: Namespace
form: llm
- name: pod
type: string
required: False
label:
en_US: Pod name
zh_Hans: Pod名称
human_description:
en_US: Pod name
zh_Hans: Pod名称
llm_description: Pod name
form: llm
- name: startTime
type: number
required: true
label:
en_US: startTime
zh_Hans: startTime
pt_BR: startTime
human_description:
en_US: Data query start time
zh_Hans: 开始时间 (微秒)
pt_BR: Data query start time
llm_description: Data query start time
form: llm
- name: endTime
type: number
required: true
label:
en_US: endTime
zh_Hans: endTime
pt_BR: endTime
human_description:
en_US: Data query end time
zh_Hans: 结束时间 (微秒)
pt_BR: Data query end time
llm_description: Data query start time
form: llm

@ -0,0 +1,48 @@
import json
from collections.abc import Generator
from typing import Any, Optional
import requests
from configs import dify_config
from core.tools.builtin_tool.tool import BuiltinTool
from core.tools.entities.tool_entities import ToolInvokeMessage
from libs.apo_utils import APOUtils
class ContainerCpuThrottleDockerSecondsTool(BuiltinTool):
def _invoke(
self,
user_id: str,
tool_parameters: dict[str, Any],
conversation_id: Optional[str] = None,
app_id: Optional[str] = None,
message_id: Optional[str] = None,
) -> Generator[ToolInvokeMessage, None, None]:
cadvisor_job_name = tool_parameters.get('cadvisor_job_name', '.*')
namespace = tool_parameters.get('namespace', '.*')
pod = tool_parameters.get('pod', '.*')
start_time = tool_parameters.get("startTime")
end_time = tool_parameters.get("endTime")
params = {
'metricName': '基础设施情况 - 容器CPU - 容器CPU节流时间 - Docker',
'params': {
'cadvisor_job_name': cadvisor_job_name,
'namespace': namespace,
'pod': pod
},
'startTime': start_time,
'endTime': end_time,
'step': APOUtils.get_step(start_time, end_time),
}
resp = requests.post(dify_config.APO_BACKEND_URL + '/api/metric/query', json=params)
list = resp.json()['result']
list = json.dumps({
'type': 'metric',
'display': True,
'unit': list['unit'],
'data': {
'timeseries': list['timeseries']
}
})
yield self.create_text_message(list)

@ -0,0 +1,75 @@
identity:
name: 容器CPU节流时长(使用Docker容器运行时,按Pod统计)
author: APO
label:
en_US: Container CPU throttling time (Docker runtime, aggregated by Pod)
zh_Hans: 容器CPU节流时长(使用Docker容器运行时,按Pod统计)
description:
human:
en_US: Container CPU throttling time (Docker runtime, aggregated by Pod)
zh_Hans: 容器CPU节流时长(使用Docker容器运行时,按Pod统计)
llm: Container CPU throttling time (Docker runtime, aggregated by Pod)
display:
type: metric
title: 基础设施情况 - 容器CPU - 容器CPU节流时间 - Docker
unit: "s"
parameters:
- name: cadvisor_job_name
type: string
required: False
label:
en_US: cAdvisor job name
zh_Hans: cAdvisor任务名称
human_description:
en_US: cAdvisor job name
zh_Hans: cAdvisor任务名称
llm_description: cAdvisor job name
form: llm
- name: namespace
type: string
required: False
label:
en_US: Namespace
zh_Hans: 命名空间
human_description:
en_US: Namespace
zh_Hans: 命名空间
llm_description: Namespace
form: llm
- name: pod
type: string
required: False
label:
en_US: Pod name
zh_Hans: Pod名称
human_description:
en_US: Pod name
zh_Hans: Pod名称
llm_description: Pod name
form: llm
- name: startTime
type: number
required: true
label:
en_US: startTime
zh_Hans: startTime
pt_BR: startTime
human_description:
en_US: Data query start time
zh_Hans: 开始时间 (微秒)
pt_BR: Data query start time
llm_description: Data query start time
form: llm
- name: endTime
type: number
required: true
label:
en_US: endTime
zh_Hans: endTime
pt_BR: endTime
human_description:
en_US: Data query end time
zh_Hans: 结束时间 (微秒)
pt_BR: Data query end time
llm_description: Data query start time
form: llm

@ -0,0 +1,48 @@
import json
from collections.abc import Generator
from typing import Any, Optional
import requests
from configs import dify_config
from core.tools.builtin_tool.tool import BuiltinTool
from core.tools.entities.tool_entities import ToolInvokeMessage
from libs.apo_utils import APOUtils
class ContainerCpuThrottlingContainerdSecondsTool(BuiltinTool):
def _invoke(
self,
user_id: str,
tool_parameters: dict[str, Any],
conversation_id: Optional[str] = None,
app_id: Optional[str] = None,
message_id: Optional[str] = None,
) -> Generator[ToolInvokeMessage, None, None]:
cadvisor_job_name = tool_parameters.get('cadvisor_job_name', '.*')
namespace = tool_parameters.get('namespace', '.*')
pod = tool_parameters.get('pod', '.*')
start_time = tool_parameters.get("startTime")
end_time = tool_parameters.get("endTime")
params = {
'metricName': '基础设施情况 - 容器CPU - 容器CPU节流时间 - Containerd',
'params': {
'cadvisor_job_name': cadvisor_job_name,
'namespace': namespace,
'pod': pod
},
'startTime': start_time,
'endTime': end_time,
'step': APOUtils.get_step(start_time, end_time),
}
resp = requests.post(dify_config.APO_BACKEND_URL + '/api/metric/query', json=params)
list = resp.json()['result']
list = json.dumps({
'type': 'metric',
'display': True,
'unit': list['unit'],
'data': {
'timeseries': list['timeseries']
}
})
yield self.create_text_message(list)

@ -0,0 +1,75 @@
identity:
name: 容器CPU节流时长(使用Containerd容器运行时,按容器和Pod统计)
author: APO
label:
en_US: Container CPU throttling duration (Containerd runtime, by container and Pod)
zh_Hans: 容器CPU节流时长(使用Containerd容器运行时,按容器和Pod统计)
description:
human:
en_US: Container CPU throttling duration (Containerd runtime, by container and Pod)
zh_Hans: 容器CPU节流时长(使用Containerd容器运行时,按容器和Pod统计)
llm: Container CPU throttling duration (Containerd runtime, by container and Pod)
display:
type: metric
title: 基础设施情况 - 容器CPU - 容器CPU节流时间 - Containerd
unit: "s"
parameters:
- name: cadvisor_job_name
type: string
required: False
label:
en_US: cAdvisor job name
zh_Hans: cAdvisor任务名称
human_description:
en_US: cAdvisor job name
zh_Hans: cAdvisor任务名称
llm_description: cAdvisor job name
form: llm
- name: namespace
type: string
required: False
label:
en_US: Namespace
zh_Hans: 命名空间
human_description:
en_US: Namespace
zh_Hans: 命名空间
llm_description: Namespace
form: llm
- name: pod
type: string
required: False
label:
en_US: Pod name
zh_Hans: Pod名称
human_description:
en_US: Pod name
zh_Hans: Pod名称
llm_description: Pod name
form: llm
- name: startTime
type: number
required: true
label:
en_US: startTime
zh_Hans: startTime
pt_BR: startTime
human_description:
en_US: Data query start time
zh_Hans: 开始时间 (微秒)
pt_BR: Data query start time
llm_description: Data query start time
form: llm
- name: endTime
type: number
required: true
label:
en_US: endTime
zh_Hans: endTime
pt_BR: endTime
human_description:
en_US: Data query end time
zh_Hans: 结束时间 (微秒)
pt_BR: Data query end time
llm_description: Data query start time
form: llm

@ -0,0 +1,48 @@
import json
from collections.abc import Generator
from typing import Any, Optional
import requests
from configs import dify_config
from core.tools.builtin_tool.tool import BuiltinTool
from core.tools.entities.tool_entities import ToolInvokeMessage
from libs.apo_utils import APOUtils
class ContainerCpuUsageContainerdTool(BuiltinTool):
def _invoke(
self,
user_id: str,
tool_parameters: dict[str, Any],
conversation_id: Optional[str] = None,
app_id: Optional[str] = None,
message_id: Optional[str] = None,
) -> Generator[ToolInvokeMessage, None, None]:
cadvisor_job_name = tool_parameters.get('cadvisor_job_name')
namespace = tool_parameters.get('namespace')
pod = tool_parameters.get('pod')
start_time = tool_parameters.get("startTime")
end_time = tool_parameters.get("endTime")
params = {
'metricName': '基础设施情况 - 容器CPU - 容器CPU使用率 - Containerd',
'params': {
**({'cadvisor_job_name': cadvisor_job_name} if cadvisor_job_name else {}),
**({'namespace': namespace} if namespace else {}),
**({'pod': pod} if pod else {})
},
'startTime': start_time,
'endTime': end_time,
'step': APOUtils.get_step(start_time, end_time),
}
resp = requests.post(dify_config.APO_BACKEND_URL + '/api/metric/query', json=params)
list = resp.json()['result']
list = json.dumps({
'type': 'metric',
'display': True,
'unit': list['unit'],
'data': {
'timeseries': list['timeseries']
}
})
yield self.create_text_message(list)

@ -0,0 +1,75 @@
identity:
name: 容器CPU使用率(使用Containerd容器运行时,按容器和Pod统计)
author: APO
label:
en_US: Container CPU usage rate (Containerd runtime, aggregated by container and Pod)
zh_Hans: 容器CPU使用率(使用Containerd容器运行时,按容器和Pod统计)
description:
human:
en_US: Container CPU usage rate (Containerd runtime, aggregated by container and Pod)
zh_Hans: 容器CPU使用率(使用Containerd容器运行时,按容器和Pod统计)
llm: Container CPU usage rate (Containerd runtime, aggregated by container and Pod)
display:
type: metric
title: 基础设施情况 - 容器CPU - 容器CPU使用率 - Containerd
unit: "core"
parameters:
- name: cadvisor_job_name
type: string
required: False
label:
en_US: cAdvisor job name
zh_Hans: cAdvisor任务名称
human_description:
en_US: cAdvisor job name
zh_Hans: cAdvisor任务名称
llm_description: cAdvisor job name
form: llm
- name: namespace
type: string
required: False
label:
en_US: Namespace
zh_Hans: 命名空间
human_description:
en_US: Namespace
zh_Hans: 命名空间
llm_description: Namespace
form: llm
- name: pod
type: string
required: False
label:
en_US: Pod name
zh_Hans: Pod名称
human_description:
en_US: Pod name
zh_Hans: Pod名称
llm_description: Pod name
form: llm
- name: startTime
type: number
required: true
label:
en_US: startTime
zh_Hans: startTime
pt_BR: startTime
human_description:
en_US: Data query start time
zh_Hans: 开始时间 (微秒)
pt_BR: Data query start time
llm_description: Data query start time
form: llm
- name: endTime
type: number
required: true
label:
en_US: endTime
zh_Hans: endTime
pt_BR: endTime
human_description:
en_US: Data query end time
zh_Hans: 结束时间 (微秒)
pt_BR: Data query end time
llm_description: Data query start time
form: llm

@ -0,0 +1,48 @@
import json
from collections.abc import Generator
from typing import Any, Optional
import requests
from configs import dify_config
from core.tools.builtin_tool.tool import BuiltinTool
from core.tools.entities.tool_entities import ToolInvokeMessage
from libs.apo_utils import APOUtils
class ContainerCpuUsageDockerTool(BuiltinTool):
def _invoke(
self,
user_id: str,
tool_parameters: dict[str, Any],
conversation_id: Optional[str] = None,
app_id: Optional[str] = None,
message_id: Optional[str] = None,
) -> Generator[ToolInvokeMessage, None, None]:
cadvisor_job_name = tool_parameters.get('cadvisor_job_name', '.*')
namespace = tool_parameters.get('namespace', '.*')
pod = tool_parameters.get('pod', '.*')
start_time = tool_parameters.get("startTime")
end_time = tool_parameters.get("endTime")
params = {
'metricName': '基础设施情况 - 容器CPU - 容器CPU使用率 - Docker',
'params': {
'cadvisor_job_name': cadvisor_job_name,
'namespace': namespace,
'pod': pod
},
'startTime': start_time,
'endTime': end_time,
'step': APOUtils.get_step(start_time, end_time),
}
resp = requests.post(dify_config.APO_BACKEND_URL + '/api/metric/query', json=params)
list = resp.json()['result']
list = json.dumps({
'type': 'metric',
'display': True,
'unit': list['unit'],
'data': {
'timeseries': list['timeseries']
}
})
yield self.create_text_message(list)

@ -0,0 +1,75 @@
identity:
name: 容器CPU使用率(使用Docker容器运行时,按Pod统计)
author: APO
label:
en_US: Container CPU usage rate (Docker runtime, aggregated by Pod)
zh_Hans: 容器CPU使用率(使用Docker容器运行时,按Pod统计)
description:
human:
en_US: Container CPU usage rate (Docker runtime, aggregated by Pod)
zh_Hans: 容器CPU使用率(使用Docker容器运行时,按Pod统计)
llm: Container CPU usage rate (Docker runtime, aggregated by Pod)
display:
type: metric
title: 基础设施情况 - 容器CPU - 容器CPU使用率 - Docker
unit: "core"
parameters:
- name: cadvisor_job_name
type: string
required: False
label:
en_US: cAdvisor job name
zh_Hans: cAdvisor任务名称
human_description:
en_US: cAdvisor job name
zh_Hans: cAdvisor任务名称
llm_description: cAdvisor job name
form: llm
- name: namespace
type: string
required: False
label:
en_US: Namespace
zh_Hans: 命名空间
human_description:
en_US: Namespace
zh_Hans: 命名空间
llm_description: Namespace
form: llm
- name: pod
type: string
required: False
label:
en_US: Pod name
zh_Hans: Pod名称
human_description:
en_US: Pod name
zh_Hans: Pod名称
llm_description: Pod name
form: llm
- name: startTime
type: number
required: true
label:
en_US: startTime
zh_Hans: startTime
pt_BR: startTime
human_description:
en_US: Data query start time
zh_Hans: 开始时间 (微秒)
pt_BR: Data query start time
llm_description: Data query start time
form: llm
- name: endTime
type: number
required: true
label:
en_US: endTime
zh_Hans: endTime
pt_BR: endTime
human_description:
en_US: Data query end time
zh_Hans: 结束时间 (微秒)
pt_BR: Data query end time
llm_description: Data query start time
form: llm

@ -0,0 +1,48 @@
import json
from collections.abc import Generator
from typing import Any, Optional
import requests
from configs import dify_config
from core.tools.builtin_tool.tool import BuiltinTool
from core.tools.entities.tool_entities import ToolInvokeMessage
from libs.apo_utils import APOUtils
class ContainerCpuUtilizationContainerdTool(BuiltinTool):
def _invoke(
self,
user_id: str,
tool_parameters: dict[str, Any],
conversation_id: Optional[str] = None,
app_id: Optional[str] = None,
message_id: Optional[str] = None,
) -> Generator[ToolInvokeMessage, None, None]:
cadvisor_job_name = tool_parameters.get('cadvisor_job_name', '.*')
namespace = tool_parameters.get('namespace', '.*')
pod = tool_parameters.get('pod', '.*')
start_time = tool_parameters.get("startTime")
end_time = tool_parameters.get("endTime")
params = {
'metricName': '基础设施情况 - 容器CPU - 容器CPU使用率 - Containerd',
'params': {
'cadvisor_job_name': cadvisor_job_name,
'namespace': namespace,
'pod': pod
},
'startTime': start_time,
'endTime': end_time,
'step': APOUtils.get_step(start_time, end_time),
}
resp = requests.post(dify_config.APO_BACKEND_URL + '/api/metric/query', json=params)
list = resp.json()['result']
list = json.dumps({
'type': 'metric',
'display': True,
'unit': list['unit'],
'data': {
'timeseries': list['timeseries']
}
})
yield self.create_text_message(list)

@ -0,0 +1,75 @@
identity:
name: 容器CPU使用率(使用Containerd容器运行时,按容器和Pod统计)
author: APO
label:
en_US: Container CPU utilization rate (Containerd runtime, by container and Pod)
zh_Hans: 容器CPU使用率(使用Containerd容器运行时,按容器和Pod统计)
description:
human:
en_US: Container CPU utilization rate (Containerd runtime, by container and Pod)
zh_Hans: 容器CPU使用率(使用Containerd容器运行时,按容器和Pod统计)
llm: Container CPU utilization rate (Containerd runtime, by container and Pod)
display:
type: metric
title: 基础设施情况 - 容器CPU - 容器CPU使用率 - Containerd
unit: "core"
parameters:
- name: cadvisor_job_name
type: string
required: False
label:
en_US: cAdvisor job name
zh_Hans: cAdvisor任务名称
human_description:
en_US: cAdvisor job name
zh_Hans: cAdvisor任务名称
llm_description: cAdvisor job name
form: llm
- name: namespace
type: string
required: False
label:
en_US: Namespace
zh_Hans: 命名空间
human_description:
en_US: Namespace
zh_Hans: 命名空间
llm_description: Namespace
form: llm
- name: pod
type: string
required: False
label:
en_US: Pod name
zh_Hans: Pod名称
human_description:
en_US: Pod name
zh_Hans: Pod名称
llm_description: Pod name
form: llm
- name: startTime
type: number
required: true
label:
en_US: startTime
zh_Hans: startTime
pt_BR: startTime
human_description:
en_US: Data query start time
zh_Hans: 开始时间 (微秒)
pt_BR: Data query start time
llm_description: Data query start time
form: llm
- name: endTime
type: number
required: true
label:
en_US: endTime
zh_Hans: endTime
pt_BR: endTime
human_description:
en_US: Data query end time
zh_Hans: 结束时间 (微秒)
pt_BR: Data query end time
llm_description: Data query start time
form: llm

@ -0,0 +1,48 @@
import json
from collections.abc import Generator
from typing import Any, Optional
import requests
from configs import dify_config
from core.tools.builtin_tool.tool import BuiltinTool
from core.tools.entities.tool_entities import ToolInvokeMessage
from libs.apo_utils import APOUtils
class ContainerDiskReadBytesDockerTool(BuiltinTool):
def _invoke(
self,
user_id: str,
tool_parameters: dict[str, Any],
conversation_id: Optional[str] = None,
app_id: Optional[str] = None,
message_id: Optional[str] = None,
) -> Generator[ToolInvokeMessage, None, None]:
cadvisor_job_name = tool_parameters.get('cadvisor_job_name', '.*')
namespace = tool_parameters.get('namespace', '.*')
pod = tool_parameters.get('pod', '.*')
start_time = tool_parameters.get("startTime")
end_time = tool_parameters.get("endTime")
params = {
'metricName': '基础设施情况 - 容器磁盘 - 读写字节数 /s - Read',
'params': {
'cadvisor_job_name': cadvisor_job_name,
'namespace': namespace,
'pod': pod
},
'startTime': start_time,
'endTime': end_time,
'step': APOUtils.get_step(start_time, end_time),
}
resp = requests.post(dify_config.APO_BACKEND_URL + '/api/metric/query', json=params)
list = resp.json()['result']
list = json.dumps({
'type': 'metric',
'display': True,
'unit': list['unit'],
'data': {
'timeseries': list['timeseries']
}
})
yield self.create_text_message(list)

@ -0,0 +1,75 @@
identity:
name: 容器磁盘读取字节数每秒(使用Docker,按Pod统计)
author: APO
label:
en_US: Container disk read bytes per second (Docker runtime, aggregated by Pod)
zh_Hans: 容器磁盘读取字节数每秒(使用Docker,按Pod统计)
description:
human:
en_US: Container disk read bytes per second (Docker runtime, aggregated by Pod)
zh_Hans: 容器磁盘读取字节数每秒(使用Docker,按Pod统计)
llm: Container disk read bytes per second (Docker runtime, aggregated by Pod)
display:
type: metric
title: 基础设施情况 - 容器磁盘 - 读写字节数 /s - Read
unit: "bytes"
parameters:
- name: cadvisor_job_name
type: string
required: False
label:
en_US: cAdvisor job name
zh_Hans: cAdvisor任务名称
human_description:
en_US: cAdvisor job name
zh_Hans: cAdvisor任务名称
llm_description: cAdvisor job name
form: llm
- name: namespace
type: string
required: False
label:
en_US: Namespace
zh_Hans: 命名空间
human_description:
en_US: Namespace
zh_Hans: 命名空间
llm_description: Namespace
form: llm
- name: pod
type: string
required: False
label:
en_US: Pod name
zh_Hans: Pod名称
human_description:
en_US: Pod name
zh_Hans: Pod名称
llm_description: Pod name
form: llm
- name: startTime
type: number
required: true
label:
en_US: startTime
zh_Hans: startTime
pt_BR: startTime
human_description:
en_US: Data query start time
zh_Hans: 开始时间 (微秒)
pt_BR: Data query start time
llm_description: Data query start time
form: llm
- name: endTime
type: number
required: true
label:
en_US: endTime
zh_Hans: endTime
pt_BR: endTime
human_description:
en_US: Data query end time
zh_Hans: 结束时间 (微秒)
pt_BR: Data query end time
llm_description: Data query start time
form: llm

@ -0,0 +1,48 @@
import json
from collections.abc import Generator
from typing import Any, Optional
import requests
from configs import dify_config
from core.tools.builtin_tool.tool import BuiltinTool
from core.tools.entities.tool_entities import ToolInvokeMessage
from libs.apo_utils import APOUtils
class ContainerDiskReadOpsDockerTool(BuiltinTool):
def _invoke(
self,
user_id: str,
tool_parameters: dict[str, Any],
conversation_id: Optional[str] = None,
app_id: Optional[str] = None,
message_id: Optional[str] = None,
) -> Generator[ToolInvokeMessage, None, None]:
cadvisor_job_name = tool_parameters.get('cadvisor_job_name', '.*')
namespace = tool_parameters.get('namespace', '.*')
pod = tool_parameters.get('pod', '.*')
start_time = tool_parameters.get("startTime")
end_time = tool_parameters.get("endTime")
params = {
'metricName': '基础设施情况 - 容器磁盘 - 读写次数 /s - Read',
'params': {
'cadvisor_job_name': cadvisor_job_name,
'namespace': namespace,
'pod': pod
},
'startTime': start_time,
'endTime': end_time,
'step': APOUtils.get_step(start_time, end_time),
}
resp = requests.post(dify_config.APO_BACKEND_URL + '/api/metric/query', json=params)
list = resp.json()['result']
list = json.dumps({
'type': 'metric',
'display': True,
'unit': list['unit'],
'data': {
'timeseries': list['timeseries']
}
})
yield self.create_text_message(list)

@ -0,0 +1,75 @@
identity:
name: 容器磁盘读取次数每秒(使用Docker,按Pod统计)
author: APO
label:
en_US: Container disk read operations per second (Docker runtime, aggregated by Pod)
zh_Hans: 容器磁盘读取次数每秒(使用Docker,按Pod统计)
description:
human:
en_US: Container disk read operations per second (Docker runtime, aggregated by Pod)
zh_Hans: 容器磁盘读取次数每秒(使用Docker,按Pod统计)
llm: Container disk read operations per second (Docker runtime, aggregated by Pod)
display:
type: metric
title: 基础设施情况 - 容器磁盘 - 读写次数 /s - Read
unit: "ops"
parameters:
- name: cadvisor_job_name
type: string
required: False
label:
en_US: cAdvisor job name
zh_Hans: cAdvisor任务名称
human_description:
en_US: cAdvisor job name
zh_Hans: cAdvisor任务名称
llm_description: cAdvisor job name
form: llm
- name: namespace
type: string
required: False
label:
en_US: Namespace
zh_Hans: 命名空间
human_description:
en_US: Namespace
zh_Hans: 命名空间
llm_description: Namespace
form: llm
- name: pod
type: string
required: False
label:
en_US: Pod name
zh_Hans: Pod名称
human_description:
en_US: Pod name
zh_Hans: Pod名称
llm_description: Pod name
form: llm
- name: startTime
type: number
required: true
label:
en_US: startTime
zh_Hans: startTime
pt_BR: startTime
human_description:
en_US: Data query start time
zh_Hans: 开始时间 (微秒)
pt_BR: Data query start time
llm_description: Data query start time
form: llm
- name: endTime
type: number
required: true
label:
en_US: endTime
zh_Hans: endTime
pt_BR: endTime
human_description:
en_US: Data query end time
zh_Hans: 结束时间 (微秒)
pt_BR: Data query end time
llm_description: Data query start time
form: llm

@ -0,0 +1,48 @@
import json
from collections.abc import Generator
from typing import Any, Optional
import requests
from configs import dify_config
from core.tools.builtin_tool.tool import BuiltinTool
from core.tools.entities.tool_entities import ToolInvokeMessage
from libs.apo_utils import APOUtils
class ContainerDiskReadTimeContainerdSecondsTool(BuiltinTool):
def _invoke(
self,
user_id: str,
tool_parameters: dict[str, Any],
conversation_id: Optional[str] = None,
app_id: Optional[str] = None,
message_id: Optional[str] = None,
) -> Generator[ToolInvokeMessage, None, None]:
cadvisor_job_name = tool_parameters.get('cadvisor_job_name', '.*')
namespace = tool_parameters.get('namespace', '.*')
pod = tool_parameters.get('pod', '.*')
start_time = tool_parameters.get("startTime")
end_time = tool_parameters.get("endTime")
params = {
'metricName': '基础设施情况 - 容器磁盘 - 读写花费时间 /s - Read',
'params': {
'cadvisor_job_name': cadvisor_job_name,
'namespace': namespace,
'pod': pod
},
'startTime': start_time,
'endTime': end_time,
'step': APOUtils.get_step(start_time, end_time),
}
resp = requests.post(dify_config.APO_BACKEND_URL + '/api/metric/query', json=params)
list = resp.json()['result']
list = json.dumps({
'type': 'metric',
'display': True,
'unit': list['unit'],
'data': {
'timeseries': list['timeseries']
}
})
yield self.create_text_message(list)

@ -0,0 +1,75 @@
identity:
name: 容器磁盘读取耗时每秒(使用Containerd,按Pod和容器统计)
author: APO
label:
en_US: Container disk read time per second (Containerd runtime, aggregated by container and Pod)
zh_Hans: 容器磁盘读取耗时每秒(使用Containerd,按Pod和容器统计)
description:
human:
en_US: Container disk read time per second (Containerd runtime, aggregated by container and Pod)
zh_Hans: 容器磁盘读取耗时每秒(使用Containerd,按Pod和容器统计)
llm: Container disk read time per second (Containerd runtime, aggregated by container and Pod)
display:
type: metric
title: 基础设施情况 - 容器磁盘 - 读写花费时间 /s - Read
unit: "s"
parameters:
- name: cadvisor_job_name
type: string
required: False
label:
en_US: cAdvisor job name
zh_Hans: cAdvisor任务名称
human_description:
en_US: cAdvisor job name
zh_Hans: cAdvisor任务名称
llm_description: cAdvisor job name
form: llm
- name: namespace
type: string
required: False
label:
en_US: Namespace
zh_Hans: 命名空间
human_description:
en_US: Namespace
zh_Hans: 命名空间
llm_description: Namespace
form: llm
- name: pod
type: string
required: False
label:
en_US: Pod name
zh_Hans: Pod名称
human_description:
en_US: Pod name
zh_Hans: Pod名称
llm_description: Pod name
form: llm
- name: startTime
type: number
required: true
label:
en_US: startTime
zh_Hans: startTime
pt_BR: startTime
human_description:
en_US: Data query start time
zh_Hans: 开始时间 (微秒)
pt_BR: Data query start time
llm_description: Data query start time
form: llm
- name: endTime
type: number
required: true
label:
en_US: endTime
zh_Hans: endTime
pt_BR: endTime
human_description:
en_US: Data query end time
zh_Hans: 结束时间 (微秒)
pt_BR: Data query end time
llm_description: Data query start time
form: llm

@ -18,7 +18,7 @@ description:
parameters: parameters:
- name: pod - name: pod
type: string type: string
required: true required: false
label: label:
en_US: pod en_US: pod
zh_Hans: pod zh_Hans: pod
@ -31,7 +31,7 @@ parameters:
form: llm form: llm
- name: namespace - name: namespace
type: string type: string
required: true required: false
label: label:
en_US: namespace en_US: namespace
zh_Hans: namespace zh_Hans: namespace

@ -0,0 +1,48 @@
import json
from collections.abc import Generator
from typing import Any, Optional
import requests
from configs import dify_config
from core.tools.builtin_tool.tool import BuiltinTool
from core.tools.entities.tool_entities import ToolInvokeMessage
from libs.apo_utils import APOUtils
class ContainerDiskWriteBytesDockerTool(BuiltinTool):
def _invoke(
self,
user_id: str,
tool_parameters: dict[str, Any],
conversation_id: Optional[str] = None,
app_id: Optional[str] = None,
message_id: Optional[str] = None,
) -> Generator[ToolInvokeMessage, None, None]:
cadvisor_job_name = tool_parameters.get('cadvisor_job_name', '.*')
namespace = tool_parameters.get('namespace', '.*')
pod = tool_parameters.get('pod', '.*')
start_time = tool_parameters.get("startTime")
end_time = tool_parameters.get("endTime")
params = {
'metricName': '基础设施情况 - 容器磁盘 - 读写字节数 /s - Write',
'params': {
'cadvisor_job_name': cadvisor_job_name,
'namespace': namespace,
'pod': pod
},
'startTime': start_time,
'endTime': end_time,
'step': APOUtils.get_step(start_time, end_time),
}
resp = requests.post(dify_config.APO_BACKEND_URL + '/api/metric/query', json=params)
list = resp.json()['result']
list = json.dumps({
'type': 'metric',
'display': True,
'unit': list['unit'],
'data': {
'timeseries': list['timeseries']
}
})
yield self.create_text_message(list)

@ -0,0 +1,75 @@
identity:
name: 容器磁盘写入字节数每秒(使用Docker,按Pod统计)
author: APO
label:
en_US: Container disk write bytes per second (Docker runtime, aggregated by Pod)
zh_Hans: 容器磁盘写入字节数每秒(使用Docker,按Pod统计)
description:
human:
en_US: Container disk write bytes per second (Docker runtime, aggregated by Pod)
zh_Hans: 容器磁盘写入字节数每秒(使用Docker,按Pod统计)
llm: Container disk write bytes per second (Docker runtime, aggregated by Pod)
display:
type: metric
title: 基础设施情况 - 容器磁盘 - 读写字节数 /s - Write
unit: "bytes"
parameters:
- name: cadvisor_job_name
type: string
required: False
label:
en_US: cAdvisor job name
zh_Hans: cAdvisor任务名称
human_description:
en_US: cAdvisor job name
zh_Hans: cAdvisor任务名称
llm_description: cAdvisor job name
form: llm
- name: namespace
type: string
required: False
label:
en_US: Namespace
zh_Hans: 命名空间
human_description:
en_US: Namespace
zh_Hans: 命名空间
llm_description: Namespace
form: llm
- name: pod
type: string
required: False
label:
en_US: Pod name
zh_Hans: Pod名称
human_description:
en_US: Pod name
zh_Hans: Pod名称
llm_description: Pod name
form: llm
- name: startTime
type: number
required: true
label:
en_US: startTime
zh_Hans: startTime
pt_BR: startTime
human_description:
en_US: Data query start time
zh_Hans: 开始时间 (微秒)
pt_BR: Data query start time
llm_description: Data query start time
form: llm
- name: endTime
type: number
required: true
label:
en_US: endTime
zh_Hans: endTime
pt_BR: endTime
human_description:
en_US: Data query end time
zh_Hans: 结束时间 (微秒)
pt_BR: Data query end time
llm_description: Data query start time
form: llm

@ -0,0 +1,48 @@
import json
from collections.abc import Generator
from typing import Any, Optional
import requests
from configs import dify_config
from core.tools.builtin_tool.tool import BuiltinTool
from core.tools.entities.tool_entities import ToolInvokeMessage
from libs.apo_utils import APOUtils
class ContainerDiskWriteOpsDockerTool(BuiltinTool):
def _invoke(
self,
user_id: str,
tool_parameters: dict[str, Any],
conversation_id: Optional[str] = None,
app_id: Optional[str] = None,
message_id: Optional[str] = None,
) -> Generator[ToolInvokeMessage, None, None]:
cadvisor_job_name = tool_parameters.get('cadvisor_job_name', '.*')
namespace = tool_parameters.get('namespace', '.*')
pod = tool_parameters.get('pod', '.*')
start_time = tool_parameters.get("startTime")
end_time = tool_parameters.get("endTime")
params = {
'metricName': '基础设施情况 - 容器磁盘 - 读写次数 /s - Write',
'params': {
'cadvisor_job_name': cadvisor_job_name,
'namespace': namespace,
'pod': pod
},
'startTime': start_time,
'endTime': end_time,
'step': APOUtils.get_step(start_time, end_time),
}
resp = requests.post(dify_config.APO_BACKEND_URL + '/api/metric/query', json=params)
list = resp.json()['result']
list = json.dumps({
'type': 'metric',
'display': True,
'unit': list['unit'],
'data': {
'timeseries': list['timeseries']
}
})
yield self.create_text_message(list)

@ -0,0 +1,75 @@
identity:
name: 容器磁盘写入次数每秒(使用Docker,按Pod统计)
author: APO
label:
en_US: Container disk write operations per second (Docker runtime, aggregated by Pod)
zh_Hans: 容器磁盘写入次数每秒(使用Docker,按Pod统计)
description:
human:
en_US: Container disk write operations per second (Docker runtime, aggregated by Pod)
zh_Hans: 容器磁盘写入次数每秒(使用Docker,按Pod统计)
llm: Container disk write operations per second (Docker runtime, aggregated by Pod)
display:
type: metric
title: 基础设施情况 - 容器磁盘 - 读写次数 /s - Write
unit: "ops"
parameters:
- name: cadvisor_job_name
type: string
required: False
label:
en_US: cAdvisor job name
zh_Hans: cAdvisor任务名称
human_description:
en_US: cAdvisor job name
zh_Hans: cAdvisor任务名称
llm_description: cAdvisor job name
form: llm
- name: namespace
type: string
required: False
label:
en_US: Namespace
zh_Hans: 命名空间
human_description:
en_US: Namespace
zh_Hans: 命名空间
llm_description: Namespace
form: llm
- name: pod
type: string
required: False
label:
en_US: Pod name
zh_Hans: Pod名称
human_description:
en_US: Pod name
zh_Hans: Pod名称
llm_description: Pod name
form: llm
- name: startTime
type: number
required: true
label:
en_US: startTime
zh_Hans: startTime
pt_BR: startTime
human_description:
en_US: Data query start time
zh_Hans: 开始时间 (微秒)
pt_BR: Data query start time
llm_description: Data query start time
form: llm
- name: endTime
type: number
required: true
label:
en_US: endTime
zh_Hans: endTime
pt_BR: endTime
human_description:
en_US: Data query end time
zh_Hans: 结束时间 (微秒)
pt_BR: Data query end time
llm_description: Data query start time
form: llm

@ -0,0 +1,48 @@
import json
from collections.abc import Generator
from typing import Any, Optional
import requests
from configs import dify_config
from core.tools.builtin_tool.tool import BuiltinTool
from core.tools.entities.tool_entities import ToolInvokeMessage
from libs.apo_utils import APOUtils
class ContainerDiskWriteTimeContainerdSecondsTool(BuiltinTool):
def _invoke(
self,
user_id: str,
tool_parameters: dict[str, Any],
conversation_id: Optional[str] = None,
app_id: Optional[str] = None,
message_id: Optional[str] = None,
) -> Generator[ToolInvokeMessage, None, None]:
cadvisor_job_name = tool_parameters.get('cadvisor_job_name', '.*')
namespace = tool_parameters.get('namespace', '.*')
pod = tool_parameters.get('pod', '.*')
start_time = tool_parameters.get("startTime")
end_time = tool_parameters.get("endTime")
params = {
'metricName': '基础设施情况 - 容器磁盘 - 读写花费时间 /s - Write',
'params': {
'cadvisor_job_name': cadvisor_job_name,
'namespace': namespace,
'pod': pod
},
'startTime': start_time,
'endTime': end_time,
'step': APOUtils.get_step(start_time, end_time),
}
resp = requests.post(dify_config.APO_BACKEND_URL + '/api/metric/query', json=params)
list = resp.json()['result']
list = json.dumps({
'type': 'metric',
'display': True,
'unit': list['unit'],
'data': {
'timeseries': list['timeseries']
}
})
yield self.create_text_message(list)

@ -0,0 +1,75 @@
identity:
name: 容器磁盘写入耗时每秒(使用Containerd,按Pod和容器统计)
author: APO
label:
en_US: Container disk write time per second (Containerd runtime, aggregated by container and Pod)
zh_Hans: 容器磁盘写入耗时每秒(使用Containerd,按Pod和容器统计)
description:
human:
en_US: Container disk write time per second (Containerd runtime, aggregated by container and Pod)
zh_Hans: 容器磁盘写入耗时每秒(使用Containerd,按Pod和容器统计)
llm: Container disk write time per second (Containerd runtime, aggregated by container and Pod)
display:
type: metric
title: 基础设施情况 - 容器磁盘 - 读写花费时间 /s - Write
unit: "s"
parameters:
- name: cadvisor_job_name
type: string
required: False
label:
en_US: cAdvisor job name
zh_Hans: cAdvisor任务名称
human_description:
en_US: cAdvisor job name
zh_Hans: cAdvisor任务名称
llm_description: cAdvisor job name
form: llm
- name: namespace
type: string
required: False
label:
en_US: Namespace
zh_Hans: 命名空间
human_description:
en_US: Namespace
zh_Hans: 命名空间
llm_description: Namespace
form: llm
- name: pod
type: string
required: False
label:
en_US: Pod name
zh_Hans: Pod名称
human_description:
en_US: Pod name
zh_Hans: Pod名称
llm_description: Pod name
form: llm
- name: startTime
type: number
required: true
label:
en_US: startTime
zh_Hans: startTime
pt_BR: startTime
human_description:
en_US: Data query start time
zh_Hans: 开始时间 (微秒)
pt_BR: Data query start time
llm_description: Data query start time
form: llm
- name: endTime
type: number
required: true
label:
en_US: endTime
zh_Hans: endTime
pt_BR: endTime
human_description:
en_US: Data query end time
zh_Hans: 结束时间 (微秒)
pt_BR: Data query end time
llm_description: Data query start time
form: llm

@ -0,0 +1,48 @@
import json
from collections.abc import Generator
from typing import Any, Optional
import requests
from configs import dify_config
from core.tools.builtin_tool.tool import BuiltinTool
from core.tools.entities.tool_entities import ToolInvokeMessage
from libs.apo_utils import APOUtils
class ContainerMemoryUsageContainerdBytesTool(BuiltinTool):
def _invoke(
self,
user_id: str,
tool_parameters: dict[str, Any],
conversation_id: Optional[str] = None,
app_id: Optional[str] = None,
message_id: Optional[str] = None,
) -> Generator[ToolInvokeMessage, None, None]:
cadvisor_job_name = tool_parameters.get('cadvisor_job_name', '.*')
namespace = tool_parameters.get('namespace', '.*')
pod = tool_parameters.get('pod', '.*')
start_time = tool_parameters.get("startTime")
end_time = tool_parameters.get("endTime")
params = {
'metricName': '基础设施情况 - 容器内存 - 容器内存使用率 - Containerd',
'params': {
'cadvisor_job_name': cadvisor_job_name,
'namespace': namespace,
'pod': pod
},
'startTime': start_time,
'endTime': end_time,
'step': APOUtils.get_step(start_time, end_time),
}
resp = requests.post(dify_config.APO_BACKEND_URL + '/api/metric/query', json=params)
list = resp.json()['result']
list = json.dumps({
'type': 'metric',
'display': True,
'unit': list['unit'],
'data': {
'timeseries': list['timeseries']
}
})
yield self.create_text_message(list)

@ -0,0 +1,75 @@
identity:
name: 容器内存使用字节数(使用Containerd容器运行时,按容器和Pod统计)
author: APO
label:
en_US: Container memory usage in bytes (Containerd runtime, aggregated by container and Pod)
zh_Hans: 容器内存使用字节数(使用Containerd容器运行时,按容器和Pod统计)
description:
human:
en_US: Container memory usage in bytes (Containerd runtime, aggregated by container and Pod)
zh_Hans: 容器内存使用字节数(使用Containerd容器运行时,按容器和Pod统计)
llm: Container memory usage in bytes (Containerd runtime, aggregated by container and Pod)
display:
type: metric
title: 基础设施情况 - 容器内存 - 容器内存使用率 - Containerd
unit: "bytes"
parameters:
- name: cadvisor_job_name
type: string
required: False
label:
en_US: cAdvisor job name
zh_Hans: cAdvisor任务名称
human_description:
en_US: cAdvisor job name
zh_Hans: cAdvisor任务名称
llm_description: cAdvisor job name
form: llm
- name: namespace
type: string
required: False
label:
en_US: Namespace
zh_Hans: 命名空间
human_description:
en_US: Namespace
zh_Hans: 命名空间
llm_description: Namespace
form: llm
- name: pod
type: string
required: False
label:
en_US: Pod name
zh_Hans: Pod名称
human_description:
en_US: Pod name
zh_Hans: Pod名称
llm_description: Pod name
form: llm
- name: startTime
type: number
required: true
label:
en_US: startTime
zh_Hans: startTime
pt_BR: startTime
human_description:
en_US: Data query start time
zh_Hans: 开始时间 (微秒)
pt_BR: Data query start time
llm_description: Data query start time
form: llm
- name: endTime
type: number
required: true
label:
en_US: endTime
zh_Hans: endTime
pt_BR: endTime
human_description:
en_US: Data query end time
zh_Hans: 结束时间 (微秒)
pt_BR: Data query end time
llm_description: Data query start time
form: llm

@ -0,0 +1,48 @@
import json
from collections.abc import Generator
from typing import Any, Optional
import requests
from configs import dify_config
from core.tools.builtin_tool.tool import BuiltinTool
from core.tools.entities.tool_entities import ToolInvokeMessage
from libs.apo_utils import APOUtils
class ContainerMemoryUsageDockerBytesTool(BuiltinTool):
def _invoke(
self,
user_id: str,
tool_parameters: dict[str, Any],
conversation_id: Optional[str] = None,
app_id: Optional[str] = None,
message_id: Optional[str] = None,
) -> Generator[ToolInvokeMessage, None, None]:
cadvisor_job_name = tool_parameters.get('cadvisor_job_name', '.*')
namespace = tool_parameters.get('namespace', '.*')
pod = tool_parameters.get('pod', '.*')
start_time = tool_parameters.get("startTime")
end_time = tool_parameters.get("endTime")
params = {
'metricName': '基础设施情况 - 容器内存 - 容器内存使用率 - Docker',
'params': {
'cadvisor_job_name': cadvisor_job_name,
'namespace': namespace,
'pod': pod
},
'startTime': start_time,
'endTime': end_time,
'step': APOUtils.get_step(start_time, end_time),
}
resp = requests.post(dify_config.APO_BACKEND_URL + '/api/metric/query', json=params)
list = resp.json()['result']
list = json.dumps({
'type': 'metric',
'display': True,
'unit': list['unit'],
'data': {
'timeseries': list['timeseries']
}
})
yield self.create_text_message(list)

@ -0,0 +1,75 @@
identity:
name: 容器内存使用字节数(使用Docker容器运行时,按Pod统计)
author: APO
label:
en_US: Container memory usage in bytes (Docker runtime, aggregated by Pod)
zh_Hans: 容器内存使用字节数(使用Docker容器运行时,按Pod统计)
description:
human:
en_US: Container memory usage in bytes (Docker runtime, aggregated by Pod)
zh_Hans: 容器内存使用字节数(使用Docker容器运行时,按Pod统计)
llm: Container memory usage in bytes (Docker runtime, aggregated by Pod)
display:
type: metric
title: 基础设施情况 - 容器内存 - 容器内存使用率 - Docker
unit: "bytes"
parameters:
- name: cadvisor_job_name
type: string
required: False
label:
en_US: cAdvisor job name
zh_Hans: cAdvisor任务名称
human_description:
en_US: cAdvisor job name
zh_Hans: cAdvisor任务名称
llm_description: cAdvisor job name
form: llm
- name: namespace
type: string
required: False
label:
en_US: Namespace
zh_Hans: 命名空间
human_description:
en_US: Namespace
zh_Hans: 命名空间
llm_description: Namespace
form: llm
- name: pod
type: string
required: False
label:
en_US: Pod name
zh_Hans: Pod名称
human_description:
en_US: Pod name
zh_Hans: Pod名称
llm_description: Pod name
form: llm
- name: startTime
type: number
required: true
label:
en_US: startTime
zh_Hans: startTime
pt_BR: startTime
human_description:
en_US: Data query start time
zh_Hans: 开始时间 (微秒)
pt_BR: Data query start time
llm_description: Data query start time
form: llm
- name: endTime
type: number
required: true
label:
en_US: endTime
zh_Hans: endTime
pt_BR: endTime
human_description:
en_US: Data query end time
zh_Hans: 结束时间 (微秒)
pt_BR: Data query end time
llm_description: Data query start time
form: llm

@ -18,7 +18,7 @@ display:
parameters: parameters:
- name: pod - name: pod
type: string type: string
required: true required: false
label: label:
en_US: pod en_US: pod
zh_Hans: pod zh_Hans: pod
@ -31,7 +31,7 @@ parameters:
form: llm form: llm
- name: namespace - name: namespace
type: string type: string
required: true required: false
label: label:
en_US: namespace en_US: namespace
zh_Hans: namespace zh_Hans: namespace

@ -18,7 +18,7 @@ display:
parameters: parameters:
- name: pod - name: pod
type: string type: string
required: true required: false
label: label:
en_US: pod en_US: pod
zh_Hans: pod zh_Hans: pod
@ -31,7 +31,7 @@ parameters:
form: llm form: llm
- name: namespace - name: namespace
type: string type: string
required: true required: false
label: label:
en_US: namespace en_US: namespace
zh_Hans: namespace zh_Hans: namespace

@ -19,15 +19,15 @@ class HostCoreNumTool(BuiltinTool):
app_id: Optional[str] = None, app_id: Optional[str] = None,
message_id: Optional[str] = None, message_id: Optional[str] = None,
) -> Generator[ToolInvokeMessage, None, None]: ) -> Generator[ToolInvokeMessage, None, None]:
node = tool_parameters.get("node") node = tool_parameters.get("node", '.*')
job = tool_parameters.get("job") job = tool_parameters.get("job", '.*')
start_time = tool_parameters.get("startTime") start_time = tool_parameters.get("startTime")
end_time = tool_parameters.get("endTime") end_time = tool_parameters.get("endTime")
params = { params = {
'metricName': "宿主机监控指标 - Quick CPU / Mem / Disk - CPU Cores", 'metricName': "宿主机监控指标 - Quick CPU / Mem / Disk - CPU Cores",
'params': { 'params': {
'node': node, 'node': node,
**({'job': job} if job else {}) 'job': job
}, },
'startTime': start_time, 'startTime': start_time,
'endTime': end_time, 'endTime': end_time,

@ -31,7 +31,7 @@ parameters:
form: llm form: llm
- name: node - name: node
type: string type: string
required: true required: false
label: label:
en_US: Host Node en_US: Host Node
zh_Hans: 宿主机节点 zh_Hans: 宿主机节点

@ -19,14 +19,15 @@ class HostCpuCoreUsageTool(BuiltinTool):
app_id: Optional[str] = None, app_id: Optional[str] = None,
message_id: Optional[str] = None, message_id: Optional[str] = None,
) -> Generator[ToolInvokeMessage, None, None]: ) -> Generator[ToolInvokeMessage, None, None]:
node = tool_parameters.get("node") node = tool_parameters.get("node", '.*')
job = tool_parameters.get("job") job = tool_parameters.get("job", '.*')
start_time = tool_parameters.get("startTime") start_time = tool_parameters.get("startTime")
end_time = tool_parameters.get("endTime") end_time = tool_parameters.get("endTime")
params = { params = {
'metricName': "宿主机监控指标 - Basic CPU / Mem / Net / Disk - CPU Basic - CPU Usage", 'metricName': "宿主机监控指标 - Basic CPU / Mem / Net / Disk - CPU Basic - CPU Usage",
'params': { 'params': {
'node': node, 'node': node,
'job': job
}, },
'startTime': start_time, 'startTime': start_time,
'endTime': end_time, 'endTime': end_time,

@ -31,7 +31,7 @@ parameters:
form: llm form: llm
- name: node - name: node
type: string type: string
required: true required: false
label: label:
en_US: Host Node en_US: Host Node
zh_Hans: 宿主机节点 zh_Hans: 宿主机节点

@ -18,7 +18,7 @@ class HostCPUIoWaitRespTool(BuiltinTool):
app_id: Optional[str] = None, app_id: Optional[str] = None,
message_id: Optional[str] = None, message_id: Optional[str] = None,
) -> Generator[ToolInvokeMessage, None, None]: ) -> Generator[ToolInvokeMessage, None, None]:
node = tool_parameters.get("node") node = tool_parameters.get("node", '.*')
start_time = tool_parameters.get("startTime") start_time = tool_parameters.get("startTime")
end_time = tool_parameters.get("endTime") end_time = tool_parameters.get("endTime")
params = { params = {

@ -18,7 +18,7 @@ display:
parameters: parameters:
- name: node - name: node
type: string type: string
required: true required: false
label: label:
en_US: node en_US: node
zh_Hans: node zh_Hans: node

@ -19,15 +19,15 @@ class HostCpuPressureTool(BuiltinTool):
app_id: Optional[str] = None, app_id: Optional[str] = None,
message_id: Optional[str] = None, message_id: Optional[str] = None,
) -> Generator[ToolInvokeMessage, None, None]: ) -> Generator[ToolInvokeMessage, None, None]:
node = tool_parameters.get("node") node = tool_parameters.get("node", '.*')
job = tool_parameters.get("job") job = tool_parameters.get("job", '.*')
start_time = tool_parameters.get("startTime") start_time = tool_parameters.get("startTime")
end_time = tool_parameters.get("endTime") end_time = tool_parameters.get("endTime")
params = { params = {
'metricName': "宿主机监控指标 - Quick CPU / Mem / Disk - Pressure - CPU", 'metricName': "宿主机监控指标 - Quick CPU / Mem / Disk - Pressure - CPU",
'params': { 'params': {
'node': node, 'node': node,
**({'job': job} if job else {}) 'job': job
}, },
'startTime': start_time, 'startTime': start_time,
'endTime': end_time, 'endTime': end_time,

@ -31,7 +31,7 @@ parameters:
form: llm form: llm
- name: node - name: node
type: string type: string
required: true required: false
label: label:
en_US: Host Node en_US: Host Node
zh_Hans: 宿主机节点 zh_Hans: 宿主机节点

@ -19,7 +19,7 @@ class HostCpuUsageTool(BuiltinTool):
app_id: Optional[str] = None, app_id: Optional[str] = None,
message_id: Optional[str] = None, message_id: Optional[str] = None,
) -> Generator[ToolInvokeMessage, None, None]: ) -> Generator[ToolInvokeMessage, None, None]:
node = tool_parameters.get("node") node = tool_parameters.get("node", '.*')
start_time = tool_parameters.get("startTime") start_time = tool_parameters.get("startTime")
end_time = tool_parameters.get("endTime") end_time = tool_parameters.get("endTime")
params = { params = {

@ -18,7 +18,7 @@ display:
parameters: parameters:
- name: node - name: node
type: string type: string
required: true required: false
label: label:
en_US: Host Node en_US: Host Node
zh_Hans: 宿主机节点 zh_Hans: 宿主机节点

@ -18,7 +18,7 @@ class HostDiskIOTool(BuiltinTool):
app_id: Optional[str] = None, app_id: Optional[str] = None,
message_id: Optional[str] = None, message_id: Optional[str] = None,
) -> Generator[ToolInvokeMessage, None, None]: ) -> Generator[ToolInvokeMessage, None, None]:
node = tool_parameters.get("node") node = tool_parameters.get("node", '.*')
start_time = tool_parameters.get("startTime") start_time = tool_parameters.get("startTime")
end_time = tool_parameters.get("endTime") end_time = tool_parameters.get("endTime")
params = { params = {

@ -18,7 +18,7 @@ display:
parameters: parameters:
- name: node - name: node
type: string type: string
required: true required: false
label: label:
en_US: node en_US: node
zh_Hans: node zh_Hans: node

@ -18,7 +18,7 @@ class HostDiskReadBytesTool(BuiltinTool):
app_id: Optional[str] = None, app_id: Optional[str] = None,
message_id: Optional[str] = None, message_id: Optional[str] = None,
) -> Generator[ToolInvokeMessage, None, None]: ) -> Generator[ToolInvokeMessage, None, None]:
node = tool_parameters.get("node") node = tool_parameters.get("node", '.*')
start_time = tool_parameters.get("startTime") start_time = tool_parameters.get("startTime")
end_time = tool_parameters.get("endTime") end_time = tool_parameters.get("endTime")
params = { params = {

@ -18,7 +18,7 @@ display:
parameters: parameters:
- name: node - name: node
type: string type: string
required: true required: false
label: label:
en_US: node en_US: node
zh_Hans: node zh_Hans: node

@ -18,7 +18,7 @@ class HostDiskUsedTool(BuiltinTool):
app_id: Optional[str] = None, app_id: Optional[str] = None,
message_id: Optional[str] = None, message_id: Optional[str] = None,
) -> Generator[ToolInvokeMessage, None, None]: ) -> Generator[ToolInvokeMessage, None, None]:
node = tool_parameters.get("node") node = tool_parameters.get("node", '.*')
start_time = tool_parameters.get("startTime") start_time = tool_parameters.get("startTime")
end_time = tool_parameters.get("endTime") end_time = tool_parameters.get("endTime")
params = { params = {

@ -18,7 +18,7 @@ display:
parameters: parameters:
- name: node - name: node
type: string type: string
required: true required: false
label: label:
en_US: node en_US: node
zh_Hans: node zh_Hans: node

@ -18,7 +18,7 @@ class HostDiskWriteBytesTool(BuiltinTool):
app_id: Optional[str] = None, app_id: Optional[str] = None,
message_id: Optional[str] = None, message_id: Optional[str] = None,
) -> Generator[ToolInvokeMessage, None, None]: ) -> Generator[ToolInvokeMessage, None, None]:
node = tool_parameters.get("node") node = tool_parameters.get("node", '.*')
start_time = tool_parameters.get("startTime") start_time = tool_parameters.get("startTime")
end_time = tool_parameters.get("endTime") end_time = tool_parameters.get("endTime")
params = { params = {

@ -18,7 +18,7 @@ display:
parameters: parameters:
- name: node - name: node
type: string type: string
required: true required: false
label: label:
en_US: node en_US: node
zh_Hans: node zh_Hans: node

@ -18,7 +18,7 @@ class HostCPUIoWaitRespTool(BuiltinTool):
app_id: Optional[str] = None, app_id: Optional[str] = None,
message_id: Optional[str] = None, message_id: Optional[str] = None,
) -> Generator[ToolInvokeMessage, None, None]: ) -> Generator[ToolInvokeMessage, None, None]:
node = tool_parameters.get("node") node = tool_parameters.get("node", '.*')
start_time = tool_parameters.get("startTime") start_time = tool_parameters.get("startTime")
end_time = tool_parameters.get("endTime") end_time = tool_parameters.get("endTime")
params = { params = {

@ -18,7 +18,7 @@ display:
parameters: parameters:
- name: node - name: node
type: string type: string
required: true required: false
label: label:
en_US: node en_US: node
zh_Hans: node zh_Hans: node

@ -19,15 +19,15 @@ class HostIoPressureTool(BuiltinTool):
app_id: Optional[str] = None, app_id: Optional[str] = None,
message_id: Optional[str] = None, message_id: Optional[str] = None,
) -> Generator[ToolInvokeMessage, None, None]: ) -> Generator[ToolInvokeMessage, None, None]:
node = tool_parameters.get("node") node = tool_parameters.get("node", '.*')
job = tool_parameters.get("job") job = tool_parameters.get("job", '.*')
start_time = tool_parameters.get("startTime") start_time = tool_parameters.get("startTime")
end_time = tool_parameters.get("endTime") end_time = tool_parameters.get("endTime")
params = { params = {
'metricName': "宿主机监控指标 - Quick CPU / Mem / Disk - Pressure - I/O", 'metricName': "宿主机监控指标 - Quick CPU / Mem / Disk - Pressure - I/O",
'params': { 'params': {
'node': node, 'node': node,
**({'job': job} if job else {}) 'job': job
}, },
'startTime': start_time, 'startTime': start_time,
'endTime': end_time, 'endTime': end_time,

@ -31,7 +31,7 @@ parameters:
form: llm form: llm
- name: node - name: node
type: string type: string
required: true required: false
label: label:
en_US: Host Node en_US: Host Node
zh_Hans: 宿主机节点 zh_Hans: 宿主机节点

@ -19,15 +19,15 @@ class HostMemPressureTool(BuiltinTool):
app_id: Optional[str] = None, app_id: Optional[str] = None,
message_id: Optional[str] = None, message_id: Optional[str] = None,
) -> Generator[ToolInvokeMessage, None, None]: ) -> Generator[ToolInvokeMessage, None, None]:
node = tool_parameters.get("node") node = tool_parameters.get("node", '.*')
job = tool_parameters.get("job") job = tool_parameters.get("job", '.*')
start_time = tool_parameters.get("startTime") start_time = tool_parameters.get("startTime")
end_time = tool_parameters.get("endTime") end_time = tool_parameters.get("endTime")
params = { params = {
'metricName': "宿主机监控指标 - Quick CPU / Mem / Disk - Pressure - Mem", 'metricName': "宿主机监控指标 - Quick CPU / Mem / Disk - Pressure - Mem",
'params': { 'params': {
'node': node, 'node': node,
**({'job': job} if job else {}) 'job': job
}, },
'startTime': start_time, 'startTime': start_time,
'endTime': end_time, 'endTime': end_time,

@ -31,7 +31,7 @@ parameters:
form: llm form: llm
- name: node - name: node
type: string type: string
required: true required: false
label: label:
en_US: Host Node en_US: Host Node
zh_Hans: 宿主机节点 zh_Hans: 宿主机节点

@ -18,7 +18,7 @@ class HostCPUIoWaitRespTool(BuiltinTool):
app_id: Optional[str] = None, app_id: Optional[str] = None,
message_id: Optional[str] = None, message_id: Optional[str] = None,
) -> Generator[ToolInvokeMessage, None, None]: ) -> Generator[ToolInvokeMessage, None, None]:
node = tool_parameters.get("node") node = tool_parameters.get("node", '.*')
start_time = tool_parameters.get("startTime") start_time = tool_parameters.get("startTime")
end_time = tool_parameters.get("endTime") end_time = tool_parameters.get("endTime")
params = { params = {

Some files were not shown because too many files have changed in this diff Show More

Loading…
Cancel
Save