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d9d19043f1
Co-authored-by: openhands <openhands@all-hands.dev> Co-authored-by: Rohit Malhotra <rohitvinodmalhotra@gmail.com>
93 lines
4.0 KiB
Python
93 lines
4.0 KiB
Python
# IMPORTANT: LEGACY V0 CODE
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# This file is part of the legacy (V0) implementation of OpenHands and will be removed soon as we complete the migration to V1.
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# OpenHands V1 uses the Software Agent SDK for the agentic core and runs a new application server. Please refer to:
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# - V1 agentic core (SDK): https://github.com/OpenHands/software-agent-sdk
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# - V1 application server (in this repo): openhands/app_server/
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# Unless you are working on deprecation, please avoid extending this legacy file and consult the V1 codepaths above.
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# Tag: Legacy-V0
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from pydantic import BaseModel, ConfigDict, Field, ValidationError
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class KubernetesConfig(BaseModel):
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"""Configuration for Kubernetes runtime.
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Attributes:
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namespace: The Kubernetes namespace to use for OpenHands resources
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ingress_domain: Domain for ingress resources
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pvc_storage_size: Size of the persistent volume claim (e.g. "2Gi")
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pvc_storage_class: Storage class for persistent volume claims
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resource_cpu_request: CPU request for runtime pods
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resource_memory_request: Memory request for runtime pods
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resource_memory_limit: Memory limit for runtime pods
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image_pull_secret: Optional name of image pull secret for private registries
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ingress_tls_secret: Optional name of TLS secret for ingress
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node_selector_key: Optional node selector key for pod scheduling
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node_selector_val: Optional node selector value for pod scheduling
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tolerations_yaml: Optional YAML string defining pod tolerations
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"""
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namespace: str = Field(
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default='default',
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description='The Kubernetes namespace to use for OpenHands resources',
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)
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ingress_domain: str = Field(
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default='localhost', description='Domain for ingress resources'
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)
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pvc_storage_size: str = Field(
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default='2Gi', description='Size of the persistent volume claim'
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)
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pvc_storage_class: str | None = Field(
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default=None, description='Storage class for persistent volume claims'
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)
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resource_cpu_request: str = Field(
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default='1', description='CPU request for runtime pods'
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)
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resource_memory_request: str = Field(
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default='1Gi', description='Memory request for runtime pods'
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)
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resource_memory_limit: str = Field(
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default='2Gi', description='Memory limit for runtime pods'
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)
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image_pull_secret: str | None = Field(
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default=None,
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description='Optional name of image pull secret for private registries',
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)
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ingress_tls_secret: str | None = Field(
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default=None, description='Optional name of TLS secret for ingress'
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)
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node_selector_key: str | None = Field(
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default=None, description='Optional node selector key for pod scheduling'
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)
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node_selector_val: str | None = Field(
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default=None, description='Optional node selector value for pod scheduling'
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)
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tolerations_yaml: str | None = Field(
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default=None, description='Optional YAML string defining pod tolerations'
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)
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privileged: bool = Field(
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default=False,
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description='Run the runtime sandbox container in privileged mode for use with docker-in-docker',
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)
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model_config = ConfigDict(extra='forbid')
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@classmethod
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def from_toml_section(cls, data: dict) -> dict[str, 'KubernetesConfig']:
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"""Create a mapping of KubernetesConfig instances from a toml dictionary representing the [kubernetes] section.
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The configuration is built from all keys in data.
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Returns:
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dict[str, KubernetesConfig]: A mapping where the key "kubernetes" corresponds to the [kubernetes] configuration
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"""
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# Initialize the result mapping
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kubernetes_mapping: dict[str, KubernetesConfig] = {}
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# Try to create the configuration instance
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try:
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kubernetes_mapping['kubernetes'] = cls.model_validate(data)
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except ValidationError as e:
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raise ValueError(f'Invalid kubernetes configuration: {e}')
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return kubernetes_mapping
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