# coding: utf-8

"""
    Mender API

    Combined API specification for the features of the different Mender backend services, suitable for code generation applications 

    The version of the OpenAPI document: 1
    Contact: support@mender.io
    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 mender_client.models.attribute_value import AttributeValue
from mender_client.models.scope import Scope
from typing import Optional, Set
from typing_extensions import Self

class FilterPredicate(BaseModel):
    """
    Attribute filter predicate
    """ # noqa: E501
    scope: Scope
    attribute: StrictStr = Field(description="Name of the attribute to be queried for filtering. ")
    type: StrictStr = Field(description="Type or operator of the filter predicate.")
    value: AttributeValue = Field(description="The value of the attribute to be used in filtering.  Attribute type is implicit, inferred from the JSON type.  Supported types: number, string, array of numbers, array of strings. Mixed arrays are not allowed.  The $exists operator expects a boolean value: true means the specified attribute exists, false means the specified attribute doesn't exist.  The $regex operator expects a string as a Perl compatible regular expression (PCRE), automatically anchored by ^. If the regular expression is not valid, the filter will produce no results. If you need to specify options and flags, you can provide the full regex in the format of /regex/flags, for example `/[a-z]+/i`. ")
    __properties: ClassVar[List[str]] = ["scope", "attribute", "type", "value"]

    @field_validator('type')
    def type_validate_enum(cls, value):
        """Validates the enum"""
        if value not in set(['$eq', '$in', '$nin']):
            raise ValueError("must be one of enum values ('$eq', '$in', '$nin')")
        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 FilterPredicate 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,
        )
        # override the default output from pydantic by calling `to_dict()` of value
        if self.value:
            _dict['value'] = self.value.to_dict()
        return _dict

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

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

        _obj = cls.model_validate({
            "scope": obj.get("scope"),
            "attribute": obj.get("attribute"),
            "type": obj.get("type"),
            "value": AttributeValue.from_dict(obj["value"]) if obj.get("value") is not None else None
        })
        return _obj


