# coding: utf-8

"""
    Test Results API

    Get test result metrics for Network and Application Synthetics tests.

    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
from typing import Any, ClassVar, Dict, List, Optional
from thousandeyes_sdk.test_results.models.network_test_result import NetworkTestResult
from thousandeyes_sdk.test_results.models.pagination_links import PaginationLinks
from thousandeyes_sdk.test_results.models.simple_test import SimpleTest
from typing import Optional, Set
from typing_extensions import Self

class NetworkTestResults(BaseModel):
    """
    NetworkTestResults
    """ # noqa: E501
    results: Optional[List[NetworkTestResult]] = None
    test: Optional[SimpleTest] = None
    start_date: Optional[datetime] = Field(default=None, description="(Optional) When passing `window` or `startDate` parameter,  the client will also receive the `startDate` field indicating the UTC start date of the data's time range being retrieved  (ISO date-time format).", alias="startDate")
    end_date: Optional[datetime] = Field(default=None, description="(Optional) When passing `window` or `endDate` parameter,  the client will also receive the `endDate` field indicating the UTC end date of the data's time range being retrieved  (ISO date-time format).", alias="endDate")
    links: Optional[PaginationLinks] = Field(default=None, alias="_links")
    __properties: ClassVar[List[str]] = ["results", "test", "startDate", "endDate", "_links"]

    model_config = ConfigDict(
        populate_by_name=True,
        validate_assignment=True,
        protected_namespaces=(),
        extra="allow",
    )


    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 self.model_dump_json(by_alias=True, exclude_unset=True, exclude_none=True)

    @classmethod
    def from_json(cls, json_str: str) -> Optional[Self]:
        """Create an instance of NetworkTestResults 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.
        """
        excluded_fields: Set[str] = set([
            "start_date",
            "end_date",
        ])

        _dict = self.model_dump(
            by_alias=True,
            exclude=excluded_fields,
            exclude_none=True,
        )
        # override the default output from pydantic by calling `to_dict()` of each item in results (list)
        _items = []
        if self.results:
            for _item in self.results:
                if _item:
                    _items.append(_item.to_dict())
            _dict['results'] = _items
        # override the default output from pydantic by calling `to_dict()` of test
        if self.test:
            _dict['test'] = self.test.to_dict()
        # override the default output from pydantic by calling `to_dict()` of links
        if self.links:
            _dict['_links'] = self.links.to_dict()
        return _dict

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

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

        _obj = cls.model_validate({
            "results": [NetworkTestResult.from_dict(_item) for _item in obj["results"]] if obj.get("results") is not None else None,
            "test": SimpleTest.from_dict(obj["test"]) if obj.get("test") is not None else None,
            "startDate": obj.get("startDate"),
            "endDate": obj.get("endDate"),
            "_links": PaginationLinks.from_dict(obj["_links"]) if obj.get("_links") is not None else None
        })
        return _obj


