Files
zeekay ea80dc3638 feat: Add new Dockerfiles and improve containerization
- Add main Dockerfile for production builds
- Add Dockerfile.runtime for secure code execution
- Add Dockerfile.runtime.fixed with improved configuration
- Include .dockerignore for build optimization
- Add integration documentation and publishing guides
- Update API and CLI components for better runtime support
- Enhance sandbox and container management features
2025-08-16 23:03:39 -05:00

114 lines
4.0 KiB
Python
Generated

# coding: utf-8
"""
Runtime
Runtime AI platform API Docs
The version of the OpenAPI document: 1.0
Contact: [email protected]
Generated by OpenAPI Generator (https://openapi-generator.tech)
Do not edit the class manually.
""" # noqa: E501
from __future__ import annotations
import pprint
import re # noqa: F401
import json
from pydantic import BaseModel, ConfigDict, Field, StrictFloat, StrictInt
from typing import Any, ClassVar, Dict, List, Union
from typing import Optional, Set
from typing_extensions import Self
class UsageOverview(BaseModel):
"""
UsageOverview
""" # noqa: E501
total_cpu_quota: Union[StrictFloat, StrictInt] = Field(alias="totalCpuQuota")
total_gpu_quota: Union[StrictFloat, StrictInt] = Field(alias="totalGpuQuota")
total_memory_quota: Union[StrictFloat, StrictInt] = Field(alias="totalMemoryQuota")
total_disk_quota: Union[StrictFloat, StrictInt] = Field(alias="totalDiskQuota")
current_cpu_usage: Union[StrictFloat, StrictInt] = Field(alias="currentCpuUsage")
current_memory_usage: Union[StrictFloat, StrictInt] = Field(alias="currentMemoryUsage")
current_disk_usage: Union[StrictFloat, StrictInt] = Field(alias="currentDiskUsage")
additional_properties: Dict[str, Any] = {}
__properties: ClassVar[List[str]] = ["totalCpuQuota", "totalGpuQuota", "totalMemoryQuota", "totalDiskQuota", "currentCpuUsage", "currentMemoryUsage", "currentDiskUsage"]
model_config = ConfigDict(
populate_by_name=True,
validate_assignment=True,
protected_namespaces=(),
)
def to_str(self) -> str:
"""Returns the string representation of the model using alias"""
return pprint.pformat(self.model_dump(by_alias=True))
def to_json(self) -> str:
"""Returns the JSON representation of the model using alias"""
# TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead
return json.dumps(self.to_dict())
@classmethod
def from_json(cls, json_str: str) -> Optional[Self]:
"""Create an instance of UsageOverview from a JSON string"""
return cls.from_dict(json.loads(json_str))
def to_dict(self) -> Dict[str, Any]:
"""Return the dictionary representation of the model using alias.
This has the following differences from calling pydantic's
`self.model_dump(by_alias=True)`:
* `None` is only added to the output dict for nullable fields that
were set at model initialization. Other fields with value `None`
are ignored.
* Fields in `self.additional_properties` are added to the output dict.
"""
excluded_fields: Set[str] = set([
"additional_properties",
])
_dict = self.model_dump(
by_alias=True,
exclude=excluded_fields,
exclude_none=True,
)
# puts key-value pairs in additional_properties in the top level
if self.additional_properties is not None:
for _key, _value in self.additional_properties.items():
_dict[_key] = _value
return _dict
@classmethod
def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
"""Create an instance of UsageOverview from a dict"""
if obj is None:
return None
if not isinstance(obj, dict):
return cls.model_validate(obj)
_obj = cls.model_validate({
"totalCpuQuota": obj.get("totalCpuQuota"),
"totalGpuQuota": obj.get("totalGpuQuota"),
"totalMemoryQuota": obj.get("totalMemoryQuota"),
"totalDiskQuota": obj.get("totalDiskQuota"),
"currentCpuUsage": obj.get("currentCpuUsage"),
"currentMemoryUsage": obj.get("currentMemoryUsage"),
"currentDiskUsage": obj.get("currentDiskUsage")
})
# store additional fields in additional_properties
for _key in obj.keys():
if _key not in cls.__properties:
_obj.additional_properties[_key] = obj.get(_key)
return _obj