# coding: utf-8

"""
    Test Template

     ## Overview  Test templates allow you create a set of tests, alert rules, dashboards, and labels from a single template configuration file.    The following applies to test templates:  * You can create tests for monitoring common services and applications such as Microsoft 365, Webex, and others using a predefined set of certified templates.  * Test templates reduce the time and complexity of creating tests for common SaaS or other services by providing a set of templates for creating tests, alert rules, and other assets within the ThousandEyes platform.  * Templates created with an account group in a particular organization are visible to all account groups in that organization, provided they have the `View Test Templates` permission.  * Credentials (usernames, passwords, tokens, etc.) can be included in a test template only as placeholders whose value is provided by user input when the template is deployed. Creating or updating a test template that contains a credentials field in plain text will result in a bad request (HTTP 400).  * The schemas to use for `labels`, `tests`, `alertRules` and `dashboards` are defined at https://developer.thousandeyes.com/v7/.  * To support referencing an asset from another asset of a different type (for example, defining the `testId` field of an `alertRule` by referencing the ID of a test defined in the template itself), the deployment of assets is done in a specific order:      1. Labels     2. Tests     3. Alert rules     4. Dashboards      For a given asset type, you can reference any asset type with a higher order. (For example, labels cannot reference other assets in the template; tests can only reference labels; alert rules can reference tests and labels, etc.)

    The version of the OpenAPI document: 7.0.1
    Generated by OpenAPI Generator (https://openapi-generator.tech)

    Do not edit the class manually.
"""  # noqa: E501


from __future__ import annotations
from inspect import getfullargspec
import json
import pprint
import re  # noqa: F401

from typing import Any, List, Optional, Union
from pydantic import BaseModel, Field, StrictFloat, StrictInt, StrictStr, ValidationError, field_validator
from typing import Union, Any, List, TYPE_CHECKING, Optional, Dict
from typing_extensions import Literal
from pydantic import StrictStr, Field
try:
    from typing import Self
except ImportError:
    from typing_extensions import Self

USERINPUTDEFAULTVALUE_ONE_OF_SCHEMAS = ["float", "str"]

class UserInputDefaultValue(BaseModel):
    """
    Default value of user input field.
    """
    # data type: str
    oneof_schema_1_validator: Optional[StrictStr] = None
    # data type: float
    oneof_schema_2_validator: Optional[Union[StrictFloat, StrictInt]] = None
    actual_instance: Optional[Union[float, str]] = None
    one_of_schemas: List[str] = Literal["float", "str"]

    model_config = {
        "validate_assignment": True
    }


    def __init__(self, *args, **kwargs) -> None:
        if args:
            if len(args) > 1:
                raise ValueError("If a position argument is used, only 1 is allowed to set `actual_instance`")
            if kwargs:
                raise ValueError("If a position argument is used, keyword arguments cannot be used.")
            super().__init__(actual_instance=args[0])
        else:
            super().__init__(**kwargs)

    @field_validator('actual_instance')
    def actual_instance_must_validate_oneof(cls, v):
        instance = UserInputDefaultValue.model_construct()
        error_messages = []
        match = 0
        # validate data type: str
        try:
            instance.oneof_schema_1_validator = v
            match += 1
        except (ValidationError, ValueError) as e:
            error_messages.append(str(e))
        # validate data type: float
        try:
            instance.oneof_schema_2_validator = v
            match += 1
        except (ValidationError, ValueError) as e:
            error_messages.append(str(e))
        if match > 1:
            # more than 1 match
            raise ValueError("Multiple matches found when setting `actual_instance` in UserInputDefaultValue with oneOf schemas: float, str. Details: " + ", ".join(error_messages))
        elif match == 0:
            # no match
            raise ValueError("No match found when setting `actual_instance` in UserInputDefaultValue with oneOf schemas: float, str. Details: " + ", ".join(error_messages))
        else:
            return v

    @classmethod
    def from_dict(cls, obj: dict) -> Self:
        return cls.from_json(json.dumps(obj))

    @classmethod
    def from_json(cls, json_str: str) -> Self:
        """Returns the object represented by the json string"""
        instance = cls.model_construct()
        error_messages = []
        match = 0

        # deserialize data into str
        try:
            # validation
            instance.oneof_schema_1_validator = json.loads(json_str)
            # assign value to actual_instance
            instance.actual_instance = instance.oneof_schema_1_validator
            match += 1
        except (ValidationError, ValueError) as e:
            error_messages.append(str(e))
        # deserialize data into float
        try:
            # validation
            instance.oneof_schema_2_validator = json.loads(json_str)
            # assign value to actual_instance
            instance.actual_instance = instance.oneof_schema_2_validator
            match += 1
        except (ValidationError, ValueError) as e:
            error_messages.append(str(e))

        if match > 1:
            # more than 1 match
            raise ValueError("Multiple matches found when deserializing the JSON string into UserInputDefaultValue with oneOf schemas: float, str. Details: " + ", ".join(error_messages))
        elif match == 0:
            # no match
            raise ValueError("No match found when deserializing the JSON string into UserInputDefaultValue with oneOf schemas: float, str. Details: " + ", ".join(error_messages))
        else:
            return instance

    def to_json(self) -> str:
        """Returns the JSON representation of the actual instance"""
        if self.actual_instance is None:
            return "null"

        to_json = getattr(self.actual_instance, "to_json", None)
        if callable(to_json):
            return self.actual_instance.to_json()
        else:
            return json.dumps(self.actual_instance)

    def to_dict(self) -> Dict:
        """Returns the dict representation of the actual instance"""
        if self.actual_instance is None:
            return None

        to_dict = getattr(self.actual_instance, "to_dict", None)
        if callable(to_dict):
            return self.actual_instance.to_dict()
        else:
            # primitive type
            return self.actual_instance

    def to_str(self) -> str:
        """Returns the string representation of the actual instance"""
        return pprint.pformat(self.model_dump())


