# coding: utf-8

"""
    Hindsight HTTP API

    HTTP API for Hindsight

    The version of the OpenAPI document: 0.6.1
    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 DocumentResponse(BaseModel):
    """
    Response model for get document endpoint.
    """ # noqa: E501
    id: StrictStr
    bank_id: StrictStr
    original_text: StrictStr
    content_hash: Optional[StrictStr]
    created_at: StrictStr
    updated_at: StrictStr
    memory_unit_count: StrictInt
    nodes_by_fact_type: Optional[Dict[str, StrictInt]] = None
    tags: Optional[List[StrictStr]] = Field(default=None, description="Tags associated with this document")
    document_metadata: Optional[Dict[str, Any]] = None
    retain_params: Optional[Dict[str, Any]] = None
    __properties: ClassVar[List[str]] = ["id", "bank_id", "original_text", "content_hash", "created_at", "updated_at", "memory_unit_count", "nodes_by_fact_type", "tags", "document_metadata", "retain_params"]

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

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

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

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

        return _dict

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

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

        _obj = cls.model_validate({
            "id": obj.get("id"),
            "bank_id": obj.get("bank_id"),
            "original_text": obj.get("original_text"),
            "content_hash": obj.get("content_hash"),
            "created_at": obj.get("created_at"),
            "updated_at": obj.get("updated_at"),
            "memory_unit_count": obj.get("memory_unit_count"),
            "nodes_by_fact_type": obj.get("nodes_by_fact_type"),
            "tags": obj.get("tags"),
            "document_metadata": obj.get("document_metadata"),
            "retain_params": obj.get("retain_params")
        })
        return _obj