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zeekay
0c7efccf40
- 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
118 lines
4.1 KiB
Python
Generated
118 lines
4.1 KiB
Python
Generated
# coding: utf-8
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"""
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Runtime
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Runtime AI platform API Docs
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The version of the OpenAPI document: 1.0
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Contact: [email protected]
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Generated by OpenAPI Generator (https://openapi-generator.tech)
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Do not edit the class manually.
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""" # noqa: E501
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from __future__ import annotations
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import pprint
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import re # noqa: F401
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import json
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from pydantic import BaseModel, ConfigDict, Field, StrictStr
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from typing import Any, ClassVar, Dict, List, Optional
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from runtime_api_client.models.completion_context import CompletionContext
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from runtime_api_client.models.position import Position
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from typing import Optional, Set
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from typing_extensions import Self
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class LspCompletionParams(BaseModel):
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"""
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LspCompletionParams
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""" # noqa: E501
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language_id: StrictStr = Field(description="Language identifier", alias="languageId")
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path_to_project: StrictStr = Field(description="Path to the project", alias="pathToProject")
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uri: StrictStr = Field(description="Document URI")
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position: Position
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context: Optional[CompletionContext] = None
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additional_properties: Dict[str, Any] = {}
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__properties: ClassVar[List[str]] = ["languageId", "pathToProject", "uri", "position", "context"]
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model_config = ConfigDict(
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populate_by_name=True,
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validate_assignment=True,
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protected_namespaces=(),
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)
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def to_str(self) -> str:
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"""Returns the string representation of the model using alias"""
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return pprint.pformat(self.model_dump(by_alias=True))
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def to_json(self) -> str:
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"""Returns the JSON representation of the model using alias"""
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# TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead
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return json.dumps(self.to_dict())
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@classmethod
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def from_json(cls, json_str: str) -> Optional[Self]:
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"""Create an instance of LspCompletionParams from a JSON string"""
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return cls.from_dict(json.loads(json_str))
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def to_dict(self) -> Dict[str, Any]:
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"""Return the dictionary representation of the model using alias.
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This has the following differences from calling pydantic's
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`self.model_dump(by_alias=True)`:
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* `None` is only added to the output dict for nullable fields that
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were set at model initialization. Other fields with value `None`
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are ignored.
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* Fields in `self.additional_properties` are added to the output dict.
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"""
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excluded_fields: Set[str] = set([
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"additional_properties",
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])
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_dict = self.model_dump(
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by_alias=True,
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exclude=excluded_fields,
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exclude_none=True,
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)
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# override the default output from pydantic by calling `to_dict()` of position
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if self.position:
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_dict['position'] = self.position.to_dict()
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# override the default output from pydantic by calling `to_dict()` of context
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if self.context:
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_dict['context'] = self.context.to_dict()
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# puts key-value pairs in additional_properties in the top level
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if self.additional_properties is not None:
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for _key, _value in self.additional_properties.items():
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_dict[_key] = _value
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return _dict
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@classmethod
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def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
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"""Create an instance of LspCompletionParams from a dict"""
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if obj is None:
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return None
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if not isinstance(obj, dict):
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return cls.model_validate(obj)
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_obj = cls.model_validate({
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"languageId": obj.get("languageId"),
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"pathToProject": obj.get("pathToProject"),
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"uri": obj.get("uri"),
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"position": Position.from_dict(obj["position"]) if obj.get("position") is not None else None,
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"context": CompletionContext.from_dict(obj["context"]) if obj.get("context") is not None else None
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})
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# store additional fields in additional_properties
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for _key in obj.keys():
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if _key not in cls.__properties:
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_obj.additional_properties[_key] = obj.get(_key)
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return _obj
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