split wasm filter (#186)

* split wasm filter

* fix int and unit tests

* rename public_types => common and move common code there

* rename

* fix int test
This commit is contained in:
Adil Hafeez 2024-10-16 14:20:26 -07:00 committed by GitHub
parent b1746b38b4
commit 3bd2ffe9fb
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41 changed files with 5755 additions and 351 deletions

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/*
* OMF Embeddings
*
* No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator)
*
* The version of the OpenAPI document: 1.0.0
*
* Generated by: https://openapi-generator.tech
*/
use crate::embeddings;
use serde::{Deserialize, Serialize};
#[derive(Clone, Default, Debug, PartialEq, Serialize, Deserialize)]
pub struct CreateEmbeddingRequest {
#[serde(rename = "input")]
pub input: Box<embeddings::CreateEmbeddingRequestInput>,
/// ID of the model to use. You can use the [List models](/docs/api-reference/models/list) API to see all of your available models, or see our [Model overview](/docs/models/overview) for descriptions of them.
#[serde(rename = "model")]
pub model: String,
/// The format to return the embeddings in. Can be either `float` or [`base64`](https://pypi.org/project/pybase64/).
#[serde(rename = "encoding_format", skip_serializing_if = "Option::is_none")]
pub encoding_format: Option<EncodingFormat>,
/// The number of dimensions the resulting output embeddings should have. Only supported in `text-embedding-3` and later models.
#[serde(rename = "dimensions", skip_serializing_if = "Option::is_none")]
pub dimensions: Option<i32>,
/// A unique identifier representing your end-user, which can help to monitor and detect abuse. [Learn more](/docs/guides/safety-best-practices/end-user-ids).
#[serde(rename = "user", skip_serializing_if = "Option::is_none")]
pub user: Option<String>,
}
impl CreateEmbeddingRequest {
pub fn new(
input: embeddings::CreateEmbeddingRequestInput,
model: String,
) -> CreateEmbeddingRequest {
CreateEmbeddingRequest {
input: Box::new(input),
model,
encoding_format: None,
dimensions: None,
user: None,
}
}
}
/// The format to return the embeddings in. Can be either `float` or [`base64`](https://pypi.org/project/pybase64/).
#[derive(Clone, Copy, Debug, Eq, PartialEq, Ord, PartialOrd, Hash, Serialize, Deserialize)]
pub enum EncodingFormat {
#[serde(rename = "float")]
Float,
#[serde(rename = "base64")]
Base64,
}
impl Default for EncodingFormat {
fn default() -> EncodingFormat {
Self::Float
}
}

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/*
* OMF Embeddings
*
* No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator)
*
* The version of the OpenAPI document: 1.0.0
*
* Generated by: https://openapi-generator.tech
*/
use crate::embeddings;
use serde::{Deserialize, Serialize};
/// CreateEmbeddingRequestInput : Input text to embed, encoded as a string or array of tokens. To embed multiple inputs in a single request, pass an array of strings or array of token arrays. The input must not exceed the max input tokens for the model (8192 tokens for `text-embedding-ada-002`), cannot be an empty string, and any array must be 2048 dimensions or less. for counting tokens.
/// Input text to embed, encoded as a string or array of tokens. To embed multiple inputs in a single request, pass an array of strings or array of token arrays. The input must not exceed the max input tokens for the model (8192 tokens for `text-embedding-ada-002`), cannot be an empty string, and any array must be 2048 dimensions or less. for counting tokens.
#[derive(Clone, Debug, PartialEq, Serialize, Deserialize)]
#[serde(untagged)]
pub enum CreateEmbeddingRequestInput {
/// The string that will be turned into an embedding.
String(String),
/// The array of integers that will be turned into an embedding.
Array(Vec<i32>),
}
impl Default for CreateEmbeddingRequestInput {
fn default() -> Self {
Self::String(Default::default())
}
}

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/*
* OMF Embeddings
*
* No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator)
*
* The version of the OpenAPI document: 1.0.0
*
* Generated by: https://openapi-generator.tech
*/
use crate::embeddings;
use serde::{Deserialize, Serialize};
#[derive(Clone, Default, Debug, PartialEq, Serialize, Deserialize)]
pub struct CreateEmbeddingResponse {
/// The list of embeddings generated by the model.
#[serde(rename = "data")]
pub data: Vec<embeddings::Embedding>,
/// The name of the model used to generate the embedding.
#[serde(rename = "model")]
pub model: String,
/// The object type, which is always \"list\".
#[serde(rename = "object")]
pub object: Object,
#[serde(rename = "usage")]
pub usage: Box<embeddings::CreateEmbeddingResponseUsage>,
}
impl CreateEmbeddingResponse {
pub fn new(
data: Vec<embeddings::Embedding>,
model: String,
object: Object,
usage: embeddings::CreateEmbeddingResponseUsage,
) -> CreateEmbeddingResponse {
CreateEmbeddingResponse {
data,
model,
object,
usage: Box::new(usage),
}
}
}
/// The object type, which is always \"list\".
#[derive(Clone, Copy, Debug, Eq, PartialEq, Ord, PartialOrd, Hash, Serialize, Deserialize)]
pub enum Object {
#[serde(rename = "list")]
List,
}
impl Default for Object {
fn default() -> Object {
Self::List
}
}

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/*
* OMF Embeddings
*
* No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator)
*
* The version of the OpenAPI document: 1.0.0
*
* Generated by: https://openapi-generator.tech
*/
use crate::embeddings;
use serde::{Deserialize, Serialize};
/// CreateEmbeddingResponseUsage : The usage information for the request.
#[derive(Clone, Default, Debug, PartialEq, Serialize, Deserialize)]
pub struct CreateEmbeddingResponseUsage {
/// The number of tokens used by the prompt.
#[serde(rename = "prompt_tokens")]
pub prompt_tokens: i32,
/// The total number of tokens used by the request.
#[serde(rename = "total_tokens")]
pub total_tokens: i32,
}
impl CreateEmbeddingResponseUsage {
/// The usage information for the request.
pub fn new(prompt_tokens: i32, total_tokens: i32) -> CreateEmbeddingResponseUsage {
CreateEmbeddingResponseUsage {
prompt_tokens,
total_tokens,
}
}
}

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/*
* OMF Embeddings
*
* No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator)
*
* The version of the OpenAPI document: 1.0.0
*
* Generated by: https://openapi-generator.tech
*/
use crate::embeddings;
use serde::{Deserialize, Serialize};
/// Embedding : Represents an embedding vector returned by embedding endpoint.
#[derive(Clone, Default, Debug, PartialEq, Serialize, Deserialize)]
pub struct Embedding {
/// The index of the embedding in the list of embeddings.
#[serde(rename = "index")]
pub index: i32,
/// The embedding vector, which is a list of floats. The length of vector depends on the model as listed in the [embedding guide](/docs/guides/embeddings).
#[serde(rename = "embedding")]
pub embedding: Vec<f64>,
/// The object type, which is always \"embedding\"
#[serde(rename = "object")]
pub object: Object,
}
impl Embedding {
/// Represents an embedding vector returned by embedding endpoint.
pub fn new(index: i32, embedding: Vec<f64>, object: Object) -> Embedding {
Embedding {
index,
embedding,
object,
}
}
}
/// The object type, which is always \"embedding\"
#[derive(Clone, Copy, Debug, Eq, PartialEq, Ord, PartialOrd, Hash, Serialize, Deserialize)]
pub enum Object {
#[serde(rename = "embedding")]
Embedding,
}
impl Default for Object {
fn default() -> Object {
Self::Embedding
}
}

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pub mod create_embedding_request;
pub use self::create_embedding_request::CreateEmbeddingRequest;
pub mod create_embedding_request_input;
pub use self::create_embedding_request_input::CreateEmbeddingRequestInput;
pub mod create_embedding_response;
pub use self::create_embedding_response::CreateEmbeddingResponse;
pub mod create_embedding_response_usage;
pub use self::create_embedding_response_usage::CreateEmbeddingResponseUsage;
pub mod embedding;
pub use self::embedding::Embedding;