# coding: utf-8

"""
    Mixpeek API

    This is the Mixpeek API, providing access to various endpoints for data processing and retrieval.

    The version of the OpenAPI document: 0.81.1
    Contact: info@mixpeek.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 datetime import datetime
from pydantic import BaseModel, ConfigDict, Field, StrictStr
from typing import Any, ClassVar, Dict, List, Optional
from typing import Optional, Set
from typing_extensions import Self

class LineageStep(BaseModel):
    """
    Single processing step in a document's lineage chain.  Each step represents one transformation in the decomposition tree, tracking which collection and feature extractor produced the document.  Example:     ```python     step = LineageStep(         collection_id=\"col_video_frames\",         feature_extractor_id=\"multimodal_extractor_v1\",         document_id=\"doc_frame123\",         timestamp=datetime.now()     )     ```
    """ # noqa: E501
    collection_id: StrictStr = Field(description="Collection ID where this processing step occurred")
    feature_extractor_id: StrictStr = Field(description="Feature extractor that processed the data in this step")
    document_id: Optional[StrictStr] = Field(default=None, description="Document ID from this step (for intermediate steps). Allows tracing back through the decomposition tree.")
    timestamp: Optional[datetime] = Field(default=None, description="When this processing step occurred")
    __properties: ClassVar[List[str]] = ["collection_id", "feature_extractor_id", "document_id", "timestamp"]

    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 LineageStep 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,
        )
        return _dict

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

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

        _obj = cls.model_validate({
            "collection_id": obj.get("collection_id"),
            "feature_extractor_id": obj.get("feature_extractor_id"),
            "document_id": obj.get("document_id"),
            "timestamp": obj.get("timestamp")
        })
        return _obj


