# coding: utf-8

"""
    Pieces Isomorphic OpenAPI

    Endpoints for Assets, Formats, Users, Asset, Format, User.

    The version of the OpenAPI document: 1.0
    Contact: tsavo@pieces.app
    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 typing import Optional
from pydantic import BaseModel, Field
from pieces_os_client.models.conversation_message_sentiment_enum import ConversationMessageSentimentEnum
from pieces_os_client.models.embedded_model_schema import EmbeddedModelSchema
from pieces_os_client.models.flattened_anchors import FlattenedAnchors
from pieces_os_client.models.flattened_assets import FlattenedAssets
from pieces_os_client.models.flattened_conversation_messages import FlattenedConversationMessages
from pieces_os_client.models.flattened_identified_workstream_pattern_engine_sources import FlattenedIdentifiedWorkstreamPatternEngineSources
from pieces_os_client.models.flattened_ranges import FlattenedRanges
from pieces_os_client.models.flattened_tags import FlattenedTags
from pieces_os_client.models.flattened_workstream_events import FlattenedWorkstreamEvents
from pieces_os_client.models.flattened_workstream_summaries import FlattenedWorkstreamSummaries
from pieces_os_client.models.fragment_format import FragmentFormat
from pieces_os_client.models.grouped_timestamp import GroupedTimestamp
from pieces_os_client.models.model import Model
from pieces_os_client.models.qgpt_conversation_message_role_enum import QGPTConversationMessageRoleEnum
from pieces_os_client.models.referenced_conversation import ReferencedConversation

class SeededConversationMessage(BaseModel):
    """
    This is a seeded version of a ConversationMessage.  conversation is optional, this is because it can be used within the SeededConversation, however if this is passed into the /messages/create w/o a conversation uuid then we will throw an error.  # noqa: E501
    """
    var_schema: Optional[EmbeddedModelSchema] = Field(default=None, alias="schema")
    created: Optional[GroupedTimestamp] = None
    model: Optional[Model] = None
    fragment: FragmentFormat = Field(...)
    conversation: Optional[ReferencedConversation] = None
    sentiment: Optional[ConversationMessageSentimentEnum] = None
    role: QGPTConversationMessageRoleEnum = Field(...)
    assets: Optional[FlattenedAssets] = None
    ranges: Optional[FlattenedRanges] = None
    summaries: Optional[FlattenedWorkstreamSummaries] = None
    tags: Optional[FlattenedTags] = None
    messages: Optional[FlattenedConversationMessages] = None
    workstream_events: Optional[FlattenedWorkstreamEvents] = None
    sources: Optional[FlattenedIdentifiedWorkstreamPatternEngineSources] = None
    anchors: Optional[FlattenedAnchors] = None
    __properties = ["schema", "created", "model", "fragment", "conversation", "sentiment", "role", "assets", "ranges", "summaries", "tags", "messages", "workstream_events", "sources", "anchors"]

    class Config:
        """Pydantic configuration"""
        allow_population_by_field_name = True
        validate_assignment = True

    def to_str(self) -> str:
        """Returns the string representation of the model using alias"""
        return pprint.pformat(self.dict(by_alias=True))

    def to_json(self) -> str:
        """Returns the JSON representation of the model using alias"""
        return json.dumps(self.to_dict())

    @classmethod
    def from_json(cls, json_str: str) -> SeededConversationMessage:
        """Create an instance of SeededConversationMessage from a JSON string"""
        return cls.from_dict(json.loads(json_str))

    def to_dict(self):
        """Returns the dictionary representation of the model using alias"""
        _dict = self.dict(by_alias=True,
                          exclude={
                          },
                          exclude_none=True)
        # override the default output from pydantic by calling `to_dict()` of var_schema
        if self.var_schema:
            _dict['schema'] = self.var_schema.to_dict()
        # override the default output from pydantic by calling `to_dict()` of created
        if self.created:
            _dict['created'] = self.created.to_dict()
        # override the default output from pydantic by calling `to_dict()` of model
        if self.model:
            _dict['model'] = self.model.to_dict()
        # override the default output from pydantic by calling `to_dict()` of fragment
        if self.fragment:
            _dict['fragment'] = self.fragment.to_dict()
        # override the default output from pydantic by calling `to_dict()` of conversation
        if self.conversation:
            _dict['conversation'] = self.conversation.to_dict()
        # override the default output from pydantic by calling `to_dict()` of assets
        if self.assets:
            _dict['assets'] = self.assets.to_dict()
        # override the default output from pydantic by calling `to_dict()` of ranges
        if self.ranges:
            _dict['ranges'] = self.ranges.to_dict()
        # override the default output from pydantic by calling `to_dict()` of summaries
        if self.summaries:
            _dict['summaries'] = self.summaries.to_dict()
        # override the default output from pydantic by calling `to_dict()` of tags
        if self.tags:
            _dict['tags'] = self.tags.to_dict()
        # override the default output from pydantic by calling `to_dict()` of messages
        if self.messages:
            _dict['messages'] = self.messages.to_dict()
        # override the default output from pydantic by calling `to_dict()` of workstream_events
        if self.workstream_events:
            _dict['workstream_events'] = self.workstream_events.to_dict()
        # override the default output from pydantic by calling `to_dict()` of sources
        if self.sources:
            _dict['sources'] = self.sources.to_dict()
        # override the default output from pydantic by calling `to_dict()` of anchors
        if self.anchors:
            _dict['anchors'] = self.anchors.to_dict()
        return _dict

    @classmethod
    def from_dict(cls, obj: dict) -> SeededConversationMessage:
        """Create an instance of SeededConversationMessage from a dict"""
        if obj is None:
            return None

        if not isinstance(obj, dict):
            return SeededConversationMessage.parse_obj(obj)

        _obj = SeededConversationMessage.parse_obj({
            "var_schema": EmbeddedModelSchema.from_dict(obj.get("schema")) if obj.get("schema") is not None else None,
            "created": GroupedTimestamp.from_dict(obj.get("created")) if obj.get("created") is not None else None,
            "model": Model.from_dict(obj.get("model")) if obj.get("model") is not None else None,
            "fragment": FragmentFormat.from_dict(obj.get("fragment")) if obj.get("fragment") is not None else None,
            "conversation": ReferencedConversation.from_dict(obj.get("conversation")) if obj.get("conversation") is not None else None,
            "sentiment": obj.get("sentiment"),
            "role": obj.get("role"),
            "assets": FlattenedAssets.from_dict(obj.get("assets")) if obj.get("assets") is not None else None,
            "ranges": FlattenedRanges.from_dict(obj.get("ranges")) if obj.get("ranges") is not None else None,
            "summaries": FlattenedWorkstreamSummaries.from_dict(obj.get("summaries")) if obj.get("summaries") is not None else None,
            "tags": FlattenedTags.from_dict(obj.get("tags")) if obj.get("tags") is not None else None,
            "messages": FlattenedConversationMessages.from_dict(obj.get("messages")) if obj.get("messages") is not None else None,
            "workstream_events": FlattenedWorkstreamEvents.from_dict(obj.get("workstream_events")) if obj.get("workstream_events") is not None else None,
            "sources": FlattenedIdentifiedWorkstreamPatternEngineSources.from_dict(obj.get("sources")) if obj.get("sources") is not None else None,
            "anchors": FlattenedAnchors.from_dict(obj.get("anchors")) if obj.get("anchors") is not None else None
        })
        return _obj


