lance-namespace-reqwest-client 0.7.6

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://lancedb.github.io/lance-namespace/spec/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://lancedb.github.io/lance-namespace/spec/impls/rest for more details.
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/*
 * 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: https://openapi-generator.tech
 */

use crate::models;
use serde::{Deserialize, Serialize};

#[derive(Clone, Default, Debug, PartialEq, Serialize, Deserialize)]
pub struct AnalyzeTableQueryPlanRequest {
    #[serde(rename = "identity", skip_serializing_if = "Option::is_none")]
    pub identity: Option<Box<models::Identity>>,
    /// Arbitrary context for a request as key-value pairs. How to use the context is custom to the specific implementation.  REST NAMESPACE ONLY Context entries are passed via HTTP headers using the naming convention `x-lance-ctx-<key>: <value>`. For example, a context entry `{\"trace_id\": \"abc123\"}` would be sent as the header `x-lance-ctx-trace_id: abc123`. 
    #[serde(rename = "context", skip_serializing_if = "Option::is_none")]
    pub context: Option<std::collections::HashMap<String, String>>,
    #[serde(rename = "id", skip_serializing_if = "Option::is_none")]
    pub id: Option<Vec<String>>,
    /// Whether to bypass vector index
    #[serde(rename = "bypass_vector_index", skip_serializing_if = "Option::is_none")]
    pub bypass_vector_index: Option<bool>,
    #[serde(rename = "columns", skip_serializing_if = "Option::is_none")]
    pub columns: Option<Box<models::QueryTableRequestColumns>>,
    /// Distance metric to use
    #[serde(rename = "distance_type", skip_serializing_if = "Option::is_none")]
    pub distance_type: Option<String>,
    /// Search effort parameter for HNSW index
    #[serde(rename = "ef", skip_serializing_if = "Option::is_none")]
    pub ef: Option<i32>,
    /// Whether to use fast search
    #[serde(rename = "fast_search", skip_serializing_if = "Option::is_none")]
    pub fast_search: Option<bool>,
    /// Optional SQL filter expression
    #[serde(rename = "filter", skip_serializing_if = "Option::is_none")]
    pub filter: Option<String>,
    #[serde(rename = "full_text_query", skip_serializing_if = "Option::is_none")]
    pub full_text_query: Option<Box<models::QueryTableRequestFullTextQuery>>,
    /// Number of results to return
    #[serde(rename = "k")]
    pub k: i32,
    /// Lower bound for search
    #[serde(rename = "lower_bound", skip_serializing_if = "Option::is_none")]
    pub lower_bound: Option<f32>,
    /// Number of probes for IVF index
    #[serde(rename = "nprobes", skip_serializing_if = "Option::is_none")]
    pub nprobes: Option<i32>,
    /// Number of results to skip
    #[serde(rename = "offset", skip_serializing_if = "Option::is_none")]
    pub offset: Option<i32>,
    /// Whether to apply filtering before vector search
    #[serde(rename = "prefilter", skip_serializing_if = "Option::is_none")]
    pub prefilter: Option<bool>,
    /// Refine factor for search
    #[serde(rename = "refine_factor", skip_serializing_if = "Option::is_none")]
    pub refine_factor: Option<i32>,
    /// Upper bound for search
    #[serde(rename = "upper_bound", skip_serializing_if = "Option::is_none")]
    pub upper_bound: Option<f32>,
    #[serde(rename = "vector")]
    pub vector: Box<models::QueryTableRequestVector>,
    /// Name of the vector column to search
    #[serde(rename = "vector_column", skip_serializing_if = "Option::is_none")]
    pub vector_column: Option<String>,
    /// Table version to query
    #[serde(rename = "version", skip_serializing_if = "Option::is_none")]
    pub version: Option<i64>,
    /// If true, return the row id as a column called `_rowid`
    #[serde(rename = "with_row_id", skip_serializing_if = "Option::is_none")]
    pub with_row_id: Option<bool>,
}

impl AnalyzeTableQueryPlanRequest {
    pub fn new(k: i32, vector: models::QueryTableRequestVector) -> AnalyzeTableQueryPlanRequest {
        AnalyzeTableQueryPlanRequest {
            identity: None,
            context: None,
            id: None,
            bypass_vector_index: None,
            columns: None,
            distance_type: None,
            ef: None,
            fast_search: None,
            filter: None,
            full_text_query: None,
            k,
            lower_bound: None,
            nprobes: None,
            offset: None,
            prefilter: None,
            refine_factor: None,
            upper_bound: None,
            vector: Box::new(vector),
            vector_column: None,
            version: None,
            with_row_id: None,
        }
    }
}