Source code for agntcy_acp.acp_v0.models.thread_search_request

# Copyright AGNTCY Contributors (https://github.com/agntcy)
# SPDX-License-Identifier: Apache-2.0
# coding: utf-8

"""
Agent Connect Protocol

No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator)

The version of the OpenAPI document: 0.2.2
Generated by OpenAPI Generator (https://openapi-generator.tech)

Do not edit the class manually.
"""  # noqa: E501

from __future__ import annotations

import json
import pprint
import re  # noqa: F401
from typing import Any, ClassVar, Dict, List, Optional, Set

from pydantic import BaseModel, ConfigDict, Field
from typing_extensions import Annotated, Self

from agntcy_acp.acp_v0.models.thread_status import ThreadStatus




class ThreadSearchRequest(BaseModel):
    """
    Payload for listing threads.
    """  # noqa: E501

    metadata: Optional[Dict[str, Any]] = Field(
        default=None,
        description="Matches all threads for which metadata has  keys and values equal to those specified in this object.",
    )
    values: Optional[Dict[str, Any]] = Field(
        default=None, description="State values to filter on."
    )
    status: Optional[ThreadStatus] = None
    limit: Optional[Annotated[int, Field(le=1000, strict=True, ge=1)]] = Field(
        default=10, description="Maximum number to return."
    )
    offset: Optional[Annotated[int, Field(strict=True, ge=0)]] = Field(
        default=0, description="Offset to start from."
    )
    __properties: ClassVar[List[str]] = [
        "metadata",
        "values",
        "status",
        "limit",
        "offset",
    ]

    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 self.model_dump_json(by_alias=True, exclude_unset=True)




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

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

        _obj = cls.model_validate(
            {
                "metadata": obj.get("metadata"),
                "values": obj.get("values"),
                "status": obj.get("status"),
                "limit": obj.get("limit") if obj.get("limit") is not None else 10,
                "offset": obj.get("offset") if obj.get("offset") is not None else 0,
            }
        )
        return _obj