feat: Tools from metrics 0-14 (#3)

pull/17608/head
MisluNotFound 1 year ago committed by GitHub
parent 800506f3fa
commit 8afd983d98
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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 ClusterCpuTotalTool(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} 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)

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identity:
name: 集群总可用CPU核数
author: APO
label:
en_US: The total number of available CPU cores in the cluster
zh_Hans: 集群总可用CPU核数
description:
human:
en_US: The total number of available CPU cores in the cluster
zh_Hans: 集群总可用CPU核数
llm: The total number of available CPU cores in the 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

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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 ClusterCpuUsageTool(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} 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)

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identity:
name: 实时集群CPU使用率
author: APO
label:
en_US: Real-time cluster CPU usage
zh_Hans: 实时集群CPU使用率
description:
human:
en_US: Real-time cluster CPU usage
zh_Hans: 实时集群CPU使用率
llm: Real-time cluster CPU usage
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

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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 ClusterCpuUsageRealLinuxTool(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} 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)

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identity:
name: 实时集群CPU使用核数
author: APO
label:
en_US: The number of CPU cores in real-time use in the cluster
zh_Hans: 实时集群CPU使用核数
description:
human:
en_US: The number of CPU cores in real-time use in the cluster
zh_Hans: 实时集群CPU使用核数
llm: The number of CPU cores in real-time use in the cluster
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

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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 ClusterMemoryTotalTool(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} 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)

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identity:
name: 集群总可用内存字节数
author: APO
label:
en_US: The total number of available bytes of memory in the cluster
zh_Hans: 集群总可用内存字节数
description:
human:
en_US: The total number of available bytes of memory in the cluster
zh_Hans: 集群总可用内存字节数
llm: The total number of available bytes of memory in the cluster
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

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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 ClusterMemoryUsageTool(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} 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)

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identity:
name: 实时集群内存使用率
author: APO
label:
en_US: Real-time cluster memory usage
zh_Hans: 实时集群内存使用率
description:
human:
en_US: Real-time cluster memory usage
zh_Hans: 实时集群内存使用率
llm: Real-time cluster memory usage
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

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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 ClusterMemoryUsageRealLinuxTool(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} 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)

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identity:
name: 实时集群内存使用字节数
author: APO
label:
en_US: The number of bytes of memory in real-time use in the cluster
zh_Hans: 实时集群内存使用字节数
description:
human:
en_US: The number of bytes of memory in real-time use in the cluster
zh_Hans: 实时集群内存使用字节数
llm: The number of bytes of memory in real-time use in the cluster
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

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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 ClusterNamespaceCountTool(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} if cadvisor_job_name 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)

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identity:
name: K8s集群中命名空间的数量
author: APO
label:
en_US: Number of namespaces in the K8s cluster
zh_Hans: K8s集群中命名空间的数量
description:
human:
en_US: Number of namespaces in the K8s cluster
zh_Hans: K8s集群中命名空间的数量
llm: Number of namespaces in the K8s cluster
display:
type: metric
title: 集群总览 - 总览 - 命名空间数量
unit: ""
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

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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 ClusterNetworkLinuxReceiveDroppedPacketsTool(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 - 网络饱和 - 丢包数 - Linux Packets dropped (receive)',
'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)

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identity:
name: Linux集群网络接收丢包数
author: APO
label:
en_US: The number of dropped packets received by the Linux cluster network
zh_Hans: Linux集群网络接收丢包数
description:
human:
en_US: The number of dropped packets received by the Linux cluster network
zh_Hans: Linux集群网络接收丢包数
llm: The number of dropped packets received by the Linux cluster network
display:
type: metric
title: 集群总览 - 总览 - 网络饱和 - 丢包数 - Linux Packets dropped (receive)
unit: "short"
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

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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 ClusterNetworkLinuxTransmitDroppedPacketsTool(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 - 网络饱和 - 丢包数 - Linux Packets dropped (transmit)',
'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)

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identity:
name: Linux集群网络发送丢包数
author: APO
label:
en_US: The number of dropped packets sent by the Linux cluster network
zh_Hans: Linux集群网络发送丢包数
description:
human:
en_US: The number of dropped packets sent by the Linux cluster network
zh_Hans: Linux集群网络发送丢包数
llm: The number of dropped packets sent by the Linux cluster network
display:
type: metric
title: 集群总览 - 总览 - 网络饱和 - 丢包数 - Linux Packets dropped (transmit)
unit: "short"
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 ClusterNetworkReceiveBandwidthTool(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} 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: 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 receiving bandwidth (statistically 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 receiving bandwidth (statistically 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 receiving bandwidth (statistically 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 ClusterNetworkSendBandwidthTool(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} 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: 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 sending bandwidth (statistically 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 sending bandwidth (statistically 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 sending bandwidth (statistically 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 ClusterNodeCountTool(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} if cadvisor_job_name 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: K8s集群中节点的数量
author: APO
label:
en_US: The number of nodes in the K8s cluster
zh_Hans: K8s集群中节点的数量
description:
human:
en_US: The number of nodes in the K8s cluster
zh_Hans: K8s集群中节点的数量
llm: The number of nodes in the K8s cluster
display:
type: metric
title: 集群总览 - 总览 - 节点数
unit: ""
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 ClusterNodeCpuUsageLinuxTool(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使用率 - Linux',
'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: Linux节点CPU使用率
author: APO
label:
en_US: The CPU usage rate of Linux nodes
zh_Hans: Linux节点CPU使用率
description:
human:
en_US: The CPU usage rate of Linux nodes
zh_Hans: Linux节点CPU使用率
llm: The CPU usage rate of Linux nodes
display:
type: metric
title: 集群总览 - 节点资源使用 - 节点CPU使用率 - 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 ClusterNodeMemoryUsageLinuxTool(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 - 节点内存使用量 - Linux',
'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: Linux节点内存使用字节数
author: APO
label:
en_US: The number of bytes of memory used by Linux nodes
zh_Hans: Linux节点内存使用字节数
description:
human:
en_US: The number of bytes of memory used by Linux nodes
zh_Hans: Linux节点内存使用字节数
llm: The number of bytes of memory used by Linux nodes
display:
type: metric
title: 集群总览 - 节点资源使用 - 节点内存使用量 - 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

@ -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 ClusterRunningPodCountTool(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} if cadvisor_job_name 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: K8s集群中运行中的Pod数量
author: APO
label:
en_US: The number of running Pods in the K8s cluster
zh_Hans: K8s集群中运行中的Pod数量
description:
human:
en_US: The number of running Pods in the K8s cluster
zh_Hans: K8s集群中运行中的Pod数量
llm: The number of running Pods in the K8s cluster
display:
type: metric
title: 集群总览 - 总览 - 运行的Pod数
unit: ""
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 +1,91 @@
import json
from pathlib import Path
import json
from pathlib import Path
from typing import List, Dict
from templates import YAML_TEMPLATE, PARAM_TEMPLATE, PYTHON_TEMPLATE
class ToolGenerator:
def __init__(self, config_path: str):
self.config = self.load_config(config_path)
def load_config(self, path: str) -> List[Dict]:
with open(path, 'r', encoding='utf-8') as f:
return json.load(f)
def generate_all(self, output_path: str):
base_path = Path(output_path)
for tool in self.config:
self._generate_tool(tool, base_path)
def _generate_tool(self, tool: Dict, base_path: Path):
tool_dir = base_path
tool_dir.mkdir(parents=True, exist_ok=True)
yaml_content = self._build_yaml(tool)
with open(tool_dir / f"{tool['metric_name']}.yaml", 'w', encoding='utf-8') as f:
f.write(yaml_content)
python_content = self._build_python(tool)
with open(tool_dir / f"{tool['metric_name']}.py", 'w', encoding='utf-8') as f:
f.write(python_content)
def _build_yaml(self, tool: Dict) -> str:
params_block = "\n".join(
PARAM_TEMPLATE.format(
name=param["name"],
type=param["type"],
required=param["required"],
label_en=param["describe_en"],
label_zh=param["describe"],
desc_en=param["describe_en"],
desc_zh=param["describe"],
llm_desc=param["describe_en"],
form="llm"
) for param in tool["params"]
)
return YAML_TEMPLATE.format(
tool_id=tool["describe"],
en_label=tool["describe_en"],
zh_label=tool["describe"],
en_desc=tool["describe_en"],
zh_desc=tool["describe"],
llm_desc=tool["describe_en"],
disp_type="metric",
disp_title=tool["title"],
disp_unit=tool["unit"],
params_block=params_block
)
def _build_python(self, tool: Dict) -> str:
param_lines = "\n".join(
f" {param['name']} = tool_parameters.get('{param['name']}')"
for param in tool["params"]
)
param_dict = []
for param in tool["params"]:
name = param.get("name", "").strip()
if not name:
continue
if param.get("required", False):
param_dict.append(f" '{name}': {name}")
else:
param_dict.append(f" **({{'{name}': {name}}} if {name} else {{}})")
params_content = ",\n".join(param_dict)
return PYTHON_TEMPLATE.format(
class_name=self._generate_class_name(tool["metric_name"]),
param_lines=param_lines,
param_dict=params_content,
metric_name=tool["title"]
)
def _generate_class_name(self, metric_name: str) -> str:
cleaned = ''.join(c for c in metric_name.title() if c.isalnum())
return f"{cleaned}Tool"

@ -0,0 +1,101 @@
YAML_TEMPLATE = """identity:
name: {tool_id}
author: APO
label:
en_US: {en_label}
zh_Hans: {zh_label}
description:
human:
en_US: {en_desc}
zh_Hans: {zh_desc}
llm: {llm_desc}
display:
type: {disp_type}
title: {disp_title}
unit: "{disp_unit}"
parameters:
{params_block}
- 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
"""
PARAM_TEMPLATE = """ - name: {name}
type: {type}
required: {required}
label:
en_US: {label_en}
zh_Hans: {label_zh}
human_description:
en_US: {desc_en}
zh_Hans: {desc_zh}
llm_description: {llm_desc}
form: {form}"""
PYTHON_TEMPLATE = """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 {class_name}(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]:
{param_lines}
start_time = tool_parameters.get("startTime")
end_time = tool_parameters.get("endTime")
params = {{
'metricName': {metric_name!r},
'params': {{
{param_dict}
}},
'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 +1,10 @@
from generator import ToolGenerator
import os
def main():
generator = ToolGenerator('./metrics_conf.json')
generator.generate_all("../core/tools/builtin_tool/providers/apo_select/tools")
if __name__ == "__main__":
main()
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