# coding: utf-8

"""
    ibl-data-manager

    API for iblai

    The version of the OpenAPI document: 4.89.4-ai-plus
    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, StrictFloat, StrictInt
from typing import Any, ClassVar, Dict, List, Optional, Union
from typing import Optional, Set
from typing_extensions import Self

class ContentAnalytics(BaseModel):
    """
    Serializer for individual content item analytics.
    """ # noqa: E501
    enrollments: StrictInt = Field(description="Total enrollments for this item")
    active_enrollments: StrictInt = Field(description="Active enrollments for this item")
    completion_rate: Union[StrictFloat, StrictInt] = Field(description="Completion rate percentage")
    avg_rating: Optional[Union[StrictFloat, StrictInt]] = Field(default=None, description="Average rating")
    rating_count: Optional[StrictInt] = Field(default=None, description="Number of ratings")
    associated_courses: Optional[StrictInt] = Field(default=None, description="Associated courses (for skills)")
    learners_count: Optional[StrictInt] = Field(default=None, description="Number of learners (for skills)")
    total_time_spent: Optional[StrictInt] = Field(default=None, description="Total time spent on this content in seconds (courses only)")
    avg_time_per_learner: Optional[Union[StrictFloat, StrictInt]] = Field(default=None, description="Average time spent per learner in seconds (courses only)")
    __properties: ClassVar[List[str]] = ["enrollments", "active_enrollments", "completion_rate", "avg_rating", "rating_count", "associated_courses", "learners_count", "total_time_spent", "avg_time_per_learner"]

    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 ContentAnalytics 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,
        )
        # set to None if avg_rating (nullable) is None
        # and model_fields_set contains the field
        if self.avg_rating is None and "avg_rating" in self.model_fields_set:
            _dict['avg_rating'] = None

        return _dict

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

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

        _obj = cls.model_validate({
            "enrollments": obj.get("enrollments"),
            "active_enrollments": obj.get("active_enrollments"),
            "completion_rate": obj.get("completion_rate"),
            "avg_rating": obj.get("avg_rating"),
            "rating_count": obj.get("rating_count"),
            "associated_courses": obj.get("associated_courses"),
            "learners_count": obj.get("learners_count"),
            "total_time_spent": obj.get("total_time_spent"),
            "avg_time_per_learner": obj.get("avg_time_per_learner")
        })
        return _obj


