# coding: utf-8

"""
    The Jira Cloud platform REST API

    Jira Cloud platform REST API documentation

    The version of the OpenAPI document: 1001.0.0-SNAPSHOT-7ce0ee67a52d004425175cea962ad1c1c7200181
    Contact: ecosystem@atlassian.com
    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 datetime import datetime
from pydantic import BaseModel, ConfigDict, Field, StrictStr
from typing import Any, ClassVar, Dict, List, Optional
from typing import Optional, Set
from typing_extensions import Self

class JqlFunctionPrecomputationBean(BaseModel):
    """
    Jql function precomputation.
    """ # noqa: E501
    arguments: Optional[List[StrictStr]] = Field(default=None, description="The list of arguments function was invoked with.")
    created: Optional[datetime] = Field(default=None, description="The timestamp of the precomputation creation.")
    error: Optional[StrictStr] = Field(default=None, description="The error message to be displayed to the user.")
    var_field: Optional[StrictStr] = Field(default=None, description="The field the function was executed against.", alias="field")
    function_key: Optional[StrictStr] = Field(default=None, description="The function key.", alias="functionKey")
    function_name: Optional[StrictStr] = Field(default=None, description="The name of the function.", alias="functionName")
    id: Optional[StrictStr] = Field(default=None, description="The id of the precomputation.")
    operator: Optional[StrictStr] = Field(default=None, description="The operator in context of which function was executed.")
    updated: Optional[datetime] = Field(default=None, description="The timestamp of the precomputation last update.")
    used: Optional[datetime] = Field(default=None, description="The timestamp of the precomputation last usage.")
    value: Optional[StrictStr] = Field(default=None, description="The JQL fragment stored as the precomputation.")
    __properties: ClassVar[List[str]] = ["arguments", "created", "error", "field", "functionKey", "functionName", "id", "operator", "updated", "used", "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 JqlFunctionPrecomputationBean 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.
        * OpenAPI `readOnly` fields are excluded.
        * OpenAPI `readOnly` fields are excluded.
        * OpenAPI `readOnly` fields are excluded.
        * OpenAPI `readOnly` fields are excluded.
        * OpenAPI `readOnly` fields are excluded.
        * OpenAPI `readOnly` fields are excluded.
        * OpenAPI `readOnly` fields are excluded.
        * OpenAPI `readOnly` fields are excluded.
        * OpenAPI `readOnly` fields are excluded.
        * OpenAPI `readOnly` fields are excluded.
        * OpenAPI `readOnly` fields are excluded.
        """
        excluded_fields: Set[str] = set([
            "arguments",
            "created",
            "error",
            "var_field",
            "function_key",
            "function_name",
            "id",
            "operator",
            "updated",
            "used",
            "value",
        ])

        _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 JqlFunctionPrecomputationBean from a dict"""
        if obj is None:
            return None

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

        _obj = cls.model_validate({
            "arguments": obj.get("arguments"),
            "created": obj.get("created"),
            "error": obj.get("error"),
            "field": obj.get("field"),
            "functionKey": obj.get("functionKey"),
            "functionName": obj.get("functionName"),
            "id": obj.get("id"),
            "operator": obj.get("operator"),
            "updated": obj.get("updated"),
            "used": obj.get("used"),
            "value": obj.get("value")
        })
        return _obj


