# coding: utf-8

"""
    Lance Namespace Specification

    This OpenAPI specification is a part of the Lance namespace specification. It contains 2 parts:  The `components/schemas`, `components/responses`, `components/examples`, `tags` sections define the request and response shape for each operation in a Lance Namespace across all implementations. See https://lance.org/format/namespace/operations for more details.  The `servers`, `security`, `paths`, `components/parameters` sections are for the  Lance REST Namespace implementation, which defines a complete REST server that can work with Lance datasets. See https://lance.org/format/namespace/rest for more details. 

    The version of the OpenAPI document: 1.0.0
    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, StrictFloat, StrictInt
from typing import Any, ClassVar, Dict, List, Optional, Union
from typing import Optional, Set
from typing_extensions import Self

class BoostQuery(BaseModel):
    """
    Boost query that scores documents matching positive query higher and negative query lower
    """ # noqa: E501
    positive: FtsQuery
    negative: FtsQuery
    negative_boost: Optional[Union[StrictFloat, StrictInt]] = Field(default=0.5, description="Boost factor for negative query (default: 0.5)")
    __properties: ClassVar[List[str]] = ["positive", "negative", "negative_boost"]

    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 BoostQuery 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 positive
        if self.positive:
            _dict['positive'] = self.positive.to_dict()
        # override the default output from pydantic by calling `to_dict()` of negative
        if self.negative:
            _dict['negative'] = self.negative.to_dict()
        return _dict

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

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

        _obj = cls.model_validate({
            "positive": FtsQuery.from_dict(obj["positive"]) if obj.get("positive") is not None else None,
            "negative": FtsQuery.from_dict(obj["negative"]) if obj.get("negative") is not None else None,
            "negative_boost": obj.get("negative_boost") if obj.get("negative_boost") is not None else 0.5
        })
        return _obj

from lance_namespace_urllib3_client.models.fts_query import FtsQuery
# TODO: Rewrite to not use raise_errors
BoostQuery.model_rebuild(raise_errors=False)

