# coding: utf-8

"""
    Instana REST API documentation

    Documentation for INSTANA REST API

    The version of the OpenAPI document: 1.315.1425
    Contact: support@instana.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 pydantic import BaseModel, ConfigDict, Field, StrictInt, StrictStr
from typing import Any, ClassVar, Dict, List, Optional
from typing import Optional, Set
from typing_extensions import Self

class SessionReplayMetadata(BaseModel):
    """
    List of session replay metadata records
    """ # noqa: E501
    bytes_ingested_image: StrictInt = Field(description="Size of the image in bytes", alias="bytesIngestedImage")
    id: StrictStr = Field(description="Unique identifier for the metadata record")
    image_data: Optional[StrictStr] = Field(default=None, description="Base64-encoded image data loaded from external storage", alias="imageData")
    image_format: StrictStr = Field(description="Image format", alias="imageFormat")
    session_id: StrictStr = Field(description="Session identifier", alias="sessionId")
    timestamp: StrictInt = Field(description="Timestamp when the record was captured (epoch milliseconds)")
    type: StrictStr = Field(description="Type of record")
    __properties: ClassVar[List[str]] = ["bytesIngestedImage", "id", "imageData", "imageFormat", "sessionId", "timestamp", "type"]

    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 SessionReplayMetadata 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 image_data (nullable) is None
        # and model_fields_set contains the field
        if self.image_data is None and "image_data" in self.model_fields_set:
            _dict['imageData'] = None

        return _dict

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

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

        _obj = cls.model_validate({
            "bytesIngestedImage": obj.get("bytesIngestedImage"),
            "id": obj.get("id"),
            "imageData": obj.get("imageData"),
            "imageFormat": obj.get("imageFormat"),
            "sessionId": obj.get("sessionId"),
            "timestamp": obj.get("timestamp"),
            "type": obj.get("type")
        })
        return _obj


