# coding: utf-8

"""
    Artifact Keeper API

    Enterprise artifact registry supporting 45+ package formats.

    The version of the OpenAPI document: 1.0.0-rc.3
    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, StrictInt, StrictStr
from typing import Any, ClassVar, Dict, List
from artifact_keeper_client.models.repository_assessment import RepositoryAssessment
from typing import Optional, Set
from typing_extensions import Self

class AssessmentResult(BaseModel):
    """
    AssessmentResult
    """ # noqa: E501
    blockers: List[StrictStr]
    estimated_duration_seconds: StrictInt
    groups_count: StrictInt
    job_id: StrictStr
    permissions_count: StrictInt
    repositories: List[RepositoryAssessment]
    status: StrictStr
    total_artifacts: StrictInt
    total_size_bytes: StrictInt
    users_count: StrictInt
    warnings: List[StrictStr]
    __properties: ClassVar[List[str]] = ["blockers", "estimated_duration_seconds", "groups_count", "job_id", "permissions_count", "repositories", "status", "total_artifacts", "total_size_bytes", "users_count", "warnings"]

    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 AssessmentResult 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 each item in repositories (list)
        _items = []
        if self.repositories:
            for _item_repositories in self.repositories:
                if _item_repositories:
                    _items.append(_item_repositories.to_dict())
            _dict['repositories'] = _items
        return _dict

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

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

        _obj = cls.model_validate({
            "blockers": obj.get("blockers"),
            "estimated_duration_seconds": obj.get("estimated_duration_seconds"),
            "groups_count": obj.get("groups_count"),
            "job_id": obj.get("job_id"),
            "permissions_count": obj.get("permissions_count"),
            "repositories": [RepositoryAssessment.from_dict(_item) for _item in obj["repositories"]] if obj.get("repositories") is not None else None,
            "status": obj.get("status"),
            "total_artifacts": obj.get("total_artifacts"),
            "total_size_bytes": obj.get("total_size_bytes"),
            "users_count": obj.get("users_count"),
            "warnings": obj.get("warnings")
        })
        return _obj


