# 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: 1.3.0
    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 pydantic import BaseModel, ConfigDict, Field, StrictStr, field_validator
from typing import Any, ClassVar, Dict, List, Optional
from typing_extensions import Annotated
from typing import Optional, Set
from typing_extensions import Self

class SearchRequest(BaseModel):
    """
    Request model for searching across resource names and IDs.  Search is performed across all resource types within the authenticated namespace. The search is case-insensitive and supports partial matching on both names and IDs.  Use Cases:     - Find resources by partial name match     - Locate resources by ID prefix     - Filter search to specific resource types     - Paginate through large result sets  Requirements:     - query: REQUIRED - Search term (minimum 1 character)     - resource_types: OPTIONAL - Filter by specific types     - limit: OPTIONAL - Results per page (1-100, default 20)     - offset: OPTIONAL - Pagination offset (default 0)
    """ # noqa: E501
    query: Annotated[str, Field(min_length=1, strict=True)] = Field(description="Search term to match against resource names and IDs. REQUIRED. Minimum 1 character. Case-insensitive partial matching is performed. Matches against: bucket_name, bucket_id, collection_name, collection_id, retriever_name, retriever_id, taxonomy_name, taxonomy_id, cluster_name, cluster_id, namespace_name, namespace_id. Example: 'prod' matches 'production-videos', 'bkt_prod123', 'Products Collection'.")
    resource_types: Optional[List[StrictStr]] = Field(default=None, description="Filter search to specific resource types. OPTIONAL - If not provided, searches all resource types. Valid values: 'bucket', 'collection', 'retriever', 'taxonomy', 'cluster', 'published_retriever', 'namespace'. Example: ['bucket', 'collection'] searches only buckets and collections.")
    limit: Optional[Annotated[int, Field(le=100, strict=True, ge=1)]] = Field(default=20, description="Maximum number of results to return. OPTIONAL - Defaults to 20. Minimum: 1, Maximum: 100. Use with offset for pagination.")
    offset: Optional[Annotated[int, Field(strict=True, ge=0)]] = Field(default=0, description="Number of results to skip for pagination. OPTIONAL - Defaults to 0. Minimum: 0. Use with limit for pagination. Example: offset=20 with limit=20 returns results 21-40.")
    __properties: ClassVar[List[str]] = ["query", "resource_types", "limit", "offset"]

    @field_validator('resource_types')
    def resource_types_validate_enum(cls, value):
        """Validates the enum"""
        if value is None:
            return value

        for i in value:
            if i not in set(['bucket', 'collection', 'retriever', 'taxonomy', 'cluster', 'published_retriever', 'namespace']):
                raise ValueError("each list item must be one of ('bucket', 'collection', 'retriever', 'taxonomy', 'cluster', 'published_retriever', 'namespace')")
        return value

    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 SearchRequest 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 SearchRequest from a dict"""
        if obj is None:
            return None

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

        _obj = cls.model_validate({
            "query": obj.get("query"),
            "resource_types": obj.get("resource_types"),
            "limit": obj.get("limit") if obj.get("limit") is not None else 20,
            "offset": obj.get("offset") if obj.get("offset") is not None else 0
        })
        return _obj


