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/*
* OpenAI API
*
* The OpenAI REST API. Please see https://platform.openai.com/docs/api-reference for more details.
*
* The version of the OpenAPI document: 2.3.0
*
* Generated by: https://openapi-generator.tech
*/
use crate::models;
use serde::{Deserialize, Serialize};
#[derive(Clone, Default, Debug, PartialEq, Serialize, Deserialize, bon::Builder)]
pub struct CreateVectorStoreFileRequest {
/// A [File](/docs/api-reference/files) ID that the vector store should use. Useful for tools like `file_search` that can access files. For multi-file ingestion, we recommend [`file_batches`](/docs/api-reference/vector-stores-file-batches/createBatch) to minimize per-vector-store write requests.
#[serde(rename = "file_id")]
pub file_id: String,
#[serde(rename = "chunking_strategy", skip_serializing_if = "Option::is_none")]
pub chunking_strategy: Option<Box<models::ChunkingStrategyRequestParam>>,
/// Set of 16 key-value pairs that can be attached to an object. This can be useful for storing additional information about the object in a structured format, and querying for objects via API or the dashboard. Keys are strings with a maximum length of 64 characters. Values are strings with a maximum length of 512 characters, booleans, or numbers.
#[serde(
rename = "attributes",
default,
with = "::serde_with::rust::double_option",
skip_serializing_if = "Option::is_none"
)]
pub attributes:
Option<Option<std::collections::HashMap<String, models::VectorStoreFileAttributesValue>>>,
}
impl CreateVectorStoreFileRequest {
pub fn new(file_id: String) -> CreateVectorStoreFileRequest {
CreateVectorStoreFileRequest {
file_id,
chunking_strategy: None,
attributes: None,
}
}
}
impl std::fmt::Display for CreateVectorStoreFileRequest {
fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
match serde_json::to_string(self) {
Ok(s) => write!(f, "{}", s),
Err(_) => Err(std::fmt::Error),
}
}
}