# coding: utf-8

"""
    Hindsight HTTP API

    HTTP API for Hindsight

    The version of the OpenAPI document: 0.4.17
    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, StrictStr
from typing import Any, ClassVar, Dict, List, Optional
from hindsight_client_api.models.entity_input import EntityInput
from hindsight_client_api.models.observation_scopes import ObservationScopes
from hindsight_client_api.models.timestamp import Timestamp
from typing import Optional, Set
from typing_extensions import Self

class MemoryItem(BaseModel):
    """
    Single memory item for retain.
    """ # noqa: E501
    content: StrictStr
    timestamp: Optional[Timestamp] = None
    context: Optional[StrictStr] = None
    metadata: Optional[Dict[str, StrictStr]] = None
    document_id: Optional[StrictStr] = None
    entities: Optional[List[EntityInput]] = None
    tags: Optional[List[StrictStr]] = None
    observation_scopes: Optional[ObservationScopes] = None
    __properties: ClassVar[List[str]] = ["content", "timestamp", "context", "metadata", "document_id", "entities", "tags", "observation_scopes"]

    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 MemoryItem 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 timestamp
        if self.timestamp:
            _dict['timestamp'] = self.timestamp.to_dict()
        # override the default output from pydantic by calling `to_dict()` of each item in entities (list)
        _items = []
        if self.entities:
            for _item_entities in self.entities:
                if _item_entities:
                    _items.append(_item_entities.to_dict())
            _dict['entities'] = _items
        # override the default output from pydantic by calling `to_dict()` of observation_scopes
        if self.observation_scopes:
            _dict['observation_scopes'] = self.observation_scopes.to_dict()
        # set to None if timestamp (nullable) is None
        # and model_fields_set contains the field
        if self.timestamp is None and "timestamp" in self.model_fields_set:
            _dict['timestamp'] = None

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

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

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

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

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

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

        return _dict

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

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

        _obj = cls.model_validate({
            "content": obj.get("content"),
            "timestamp": Timestamp.from_dict(obj["timestamp"]) if obj.get("timestamp") is not None else None,
            "context": obj.get("context"),
            "metadata": obj.get("metadata"),
            "document_id": obj.get("document_id"),
            "entities": [EntityInput.from_dict(_item) for _item in obj["entities"]] if obj.get("entities") is not None else None,
            "tags": obj.get("tags"),
            "observation_scopes": ObservationScopes.from_dict(obj["observation_scopes"]) if obj.get("observation_scopes") is not None else None
        })
        return _obj


