# coding: utf-8
"""
Amorphic Data Platform
Amorphic Data Platform - API Definition documentation
The version of the OpenAPI document: 1.0
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, StrictBool, StrictStr
from typing import Any, ClassVar, Dict, List, Optional
from typing import Optional, Set
from typing_extensions import Self
[docs]
class CreateProjectRequestBody(BaseModel):
"""
Request body for creating a project
""" # noqa: E501
project_name: StrictStr = Field(description="Name of the project (required)", alias="ProjectName")
description: Optional[StrictStr] = Field(default=None, description="Description of the project", alias="Description")
keywords: Optional[List[StrictStr]] = Field(default=None, description="List of keywords associated with the project", alias="Keywords")
category: Optional[StrictStr] = Field(default=None, description="Category for the project", alias="Category")
enforce_resource_acls: Optional[StrictBool] = Field(default=None, description="Whether to enforce resource ACLs", alias="EnforceResourceACLs")
chatbot_name: Optional[StrictStr] = Field(default=None, description="Name of the chatbot/project agent", alias="ChatbotName")
instructions: Optional[StrictStr] = Field(default=None, description="Instructions for the project agent", alias="Instructions")
greeting: Optional[StrictStr] = Field(default=None, description="Greeting message for the project agent", alias="Greeting")
chat_suggestions: Optional[List[StrictStr]] = Field(default=None, description="List of chat suggestions", alias="ChatSuggestions")
enable_smart_orchestration: Optional[StrictBool] = Field(default=None, description="Whether to enable smart orchestration", alias="EnableSmartOrchestration")
model: Optional[StrictStr] = Field(default=None, description="ID of the AI model to use", alias="Model")
guard_rail: Optional[StrictStr] = Field(default=None, description="ID of the guard rail to use", alias="GuardRail")
knowledgebases: Optional[List[StrictStr]] = Field(default=None, description="List of knowledge base IDs", alias="Knowledgebases")
agents: Optional[List[StrictStr]] = Field(default=None, description="List of agent IDs", alias="Agents")
__properties: ClassVar[List[str]] = ["ProjectName", "Description", "Keywords", "Category", "EnforceResourceACLs", "ChatbotName", "Instructions", "Greeting", "ChatSuggestions", "EnableSmartOrchestration", "Model", "GuardRail", "Knowledgebases", "Agents"]
model_config = ConfigDict(
populate_by_name=True,
validate_assignment=True,
protected_namespaces=(),
)
[docs]
def to_str(self) -> str:
"""Returns the string representation of the model using alias"""
return pprint.pformat(self.model_dump(by_alias=True))
[docs]
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())
[docs]
@classmethod
def from_json(cls, json_str: str) -> Optional[Self]:
"""Create an instance of CreateProjectRequestBody from a JSON string"""
return cls.from_dict(json.loads(json_str))
[docs]
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.
"""
excluded_fields: Set[str] = set([
])
_dict = self.model_dump(
by_alias=True,
exclude=excluded_fields,
exclude_none=True,
)
return _dict
[docs]
@classmethod
def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
"""Create an instance of CreateProjectRequestBody from a dict"""
if obj is None:
return None
if not isinstance(obj, dict):
return cls.model_validate(obj)
_obj = cls.model_validate({
"ProjectName": obj.get("ProjectName"),
"Description": obj.get("Description"),
"Keywords": obj.get("Keywords"),
"Category": obj.get("Category"),
"EnforceResourceACLs": obj.get("EnforceResourceACLs"),
"ChatbotName": obj.get("ChatbotName"),
"Instructions": obj.get("Instructions"),
"Greeting": obj.get("Greeting"),
"ChatSuggestions": obj.get("ChatSuggestions"),
"EnableSmartOrchestration": obj.get("EnableSmartOrchestration"),
"Model": obj.get("Model"),
"GuardRail": obj.get("GuardRail"),
"Knowledgebases": obj.get("Knowledgebases"),
"Agents": obj.get("Agents")
})
return _obj