# coding: utf-8

"""
Hive AI API

API for Hive AI model training and evaluation

The version of the OpenAPI document: 1.0.0
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, StrictStr, field_validator
from typing import Any, ClassVar, Dict, List
from typing_extensions import Annotated
from crypticorn.hive.client.models.target import Target
from typing import Optional, Set
from typing_extensions import Self


class ModelCreate(BaseModel):
    """
    Base Pydantic model for model data
    """  # noqa: E501

    coin_id: StrictStr = Field(description="Coin ID for the model")
    target: Target = Field(description="Target variable for the model")
    name: Annotated[str, Field(min_length=5, strict=True, max_length=30)] = Field(
        description="The name of the model."
    )
    __properties: ClassVar[List[str]] = ["coin_id", "target", "name"]

    @field_validator("coin_id")
    def coin_id_validate_enum(cls, value):
        """Validates the enum"""
        if value not in set(["1", "2", "3", "4", "5", "6", "7", "8", "9", "10"]):
            raise ValueError(
                "must be one of enum values ('1', '2', '3', '4', '5', '6', '7', '8', '9', '10')"
            )
        return value

    @field_validator("name")
    def name_validate_regular_expression(cls, value):
        """Validates the regular expression"""
        if not re.match(r"^[a-z0-9_-]+$", value):
            raise ValueError(r"must validate the regular expression /^[a-z0-9_-]+$/")
        return value

    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 ModelCreate 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.
        """
        excluded_fields: Set[str] = set([])

        _dict = self.model_dump(
            by_alias=True,
            exclude=excluded_fields,
            exclude_none=True,
        )
        return _dict

    @classmethod
    def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
        """Create an instance of ModelCreate from a dict"""
        if obj is None:
            return None

        if not isinstance(obj, dict):
            return cls.model_validate(obj)

        _obj = cls.model_validate(
            {
                "coin_id": obj.get("coin_id"),
                "target": obj.get("target"),
                "name": obj.get("name"),
            }
        )
        return _obj
