2025-03-05 18:16:57 +01:00

270 lines
8.4 KiB
Rust

use meili_snap::{json_string, snapshot};
use crate::common::{Server, Value};
macro_rules! parameter_test {
($server:ident, $source:tt, $param:tt) => {
let source = stringify!($source);
let param = stringify!($param);
let index = $server.index("test");
let (response, _code) = index
.update_settings(crate::json!({
"embedders": {
"test": null,
}
}))
.await;
$server.wait_task(response.uid()).await.succeeded();
let mut value = base_for_source(source);
value[param] = valid_parameter(source, param).0;
let (response, code) = index
.update_settings(crate::json!({
"embedders": {
"test": value
}
}))
.await;
snapshot!(code, name: concat!(stringify!($source), "-", stringify!($param), "-sending_code"));
snapshot!(json_string!(response, {".enqueuedAt" => "[enqueuedAt]", ".taskUid" => "[taskUid]"}), name: concat!(stringify!($source), "-", stringify!($param), "-sending_result"));
if response.has_uid() {
let response = $server.wait_task(response.uid()).await;
snapshot!(json_string!(response, {".enqueuedAt" => "[enqueuedAt]",
".uid" => "[uid]", ".batchUid" => "[batchUid]",
".duration" => "[duration]",
".startedAt" => "[startedAt]",
".finishedAt" => "[finishedAt]"}), name: concat!(stringify!($source), "-", stringify!($param), "-task_result"));
}
};
}
#[actix_rt::test]
async fn bad_parameters() {
let server = Server::new().await;
// for each source, check which parameters are allowed/disallowed
// model
// - openai
parameter_test!(server, openAi, model);
// - huggingFace
parameter_test!(server, huggingFace, model);
// - userProvided
parameter_test!(server, userProvided, model);
// - ollama
parameter_test!(server, ollama, model);
// - rest
parameter_test!(server, rest, model);
// ==
// revision
// - openai
parameter_test!(server, openAi, revision);
// - huggingFace
parameter_test!(server, huggingFace, revision);
// - userProvided
parameter_test!(server, userProvided, revision);
// - ollama
parameter_test!(server, ollama, revision);
// - rest
parameter_test!(server, rest, revision);
// ==
// pooling
// - openai
parameter_test!(server, openAi, pooling);
// - huggingFace
parameter_test!(server, huggingFace, pooling);
// - userProvided
parameter_test!(server, userProvided, pooling);
// - ollama
parameter_test!(server, ollama, pooling);
// - rest
parameter_test!(server, rest, pooling);
// ==
// apiKey
// - openai
parameter_test!(server, openAi, apiKey);
// - huggingFace
parameter_test!(server, huggingFace, apiKey);
// - userProvided
parameter_test!(server, userProvided, apiKey);
// - ollama
parameter_test!(server, ollama, apiKey);
// - rest
parameter_test!(server, rest, apiKey);
// ==
// dimensions
// - openai
parameter_test!(server, openAi, dimensions);
// - huggingFace
parameter_test!(server, huggingFace, dimensions);
// - userProvided
parameter_test!(server, userProvided, dimensions);
// - ollama
parameter_test!(server, ollama, dimensions);
// - rest
parameter_test!(server, rest, dimensions);
// ==
// binaryQuantized
// - openai
parameter_test!(server, openAi, binaryQuantized);
// - huggingFace
parameter_test!(server, huggingFace, binaryQuantized);
// - userProvided
parameter_test!(server, userProvided, binaryQuantized);
// - ollama
parameter_test!(server, ollama, binaryQuantized);
// - rest
parameter_test!(server, rest, binaryQuantized);
// ==
// for each source, check that removing mandatory parameters is a failure
}
#[actix_rt::test]
async fn bad_parameters_2() {
let server = Server::new().await;
// documentTemplate
// - openai
parameter_test!(server, openAi, documentTemplate);
// - huggingFace
parameter_test!(server, huggingFace, documentTemplate);
// - userProvided
parameter_test!(server, userProvided, documentTemplate);
// - ollama
parameter_test!(server, ollama, documentTemplate);
// - rest
parameter_test!(server, rest, documentTemplate);
// ==
// documentTemplateMaxBytes
// - openai
parameter_test!(server, openAi, documentTemplateMaxBytes);
// - huggingFace
parameter_test!(server, huggingFace, documentTemplateMaxBytes);
// - userProvided
parameter_test!(server, userProvided, documentTemplateMaxBytes);
// - ollama
parameter_test!(server, ollama, documentTemplateMaxBytes);
// - rest
parameter_test!(server, rest, documentTemplateMaxBytes);
// ==
// url
// - openai
parameter_test!(server, openAi, url);
// - huggingFace
parameter_test!(server, huggingFace, url);
// - userProvided
parameter_test!(server, userProvided, url);
// - ollama
parameter_test!(server, ollama, url);
// - rest
parameter_test!(server, rest, url);
// ==
// request
// - openai
parameter_test!(server, openAi, request);
// - huggingFace
parameter_test!(server, huggingFace, request);
// - userProvided
parameter_test!(server, userProvided, request);
// - ollama
parameter_test!(server, ollama, request);
// - rest
parameter_test!(server, rest, request);
// ==
// response
// - openai
parameter_test!(server, openAi, response);
// - huggingFace
parameter_test!(server, huggingFace, response);
// - userProvided
parameter_test!(server, userProvided, response);
// - ollama
parameter_test!(server, ollama, response);
// - rest
parameter_test!(server, rest, response);
// ==
// headers
// - openai
parameter_test!(server, openAi, headers);
// - huggingFace
parameter_test!(server, huggingFace, headers);
// - userProvided
parameter_test!(server, userProvided, headers);
// - ollama
parameter_test!(server, ollama, headers);
// - rest
parameter_test!(server, rest, headers);
// ==
// distribution
// - openai
parameter_test!(server, openAi, distribution);
// - huggingFace
parameter_test!(server, huggingFace, distribution);
// - userProvided
parameter_test!(server, userProvided, distribution);
// - ollama
parameter_test!(server, ollama, distribution);
// - rest
parameter_test!(server, rest, distribution);
// ==
}
fn base_for_source(source: &'static str) -> Value {
let base_parameters = maplit::btreemap! {
"openAi" => vec![],
"huggingFace" => vec![],
"userProvided" => vec!["dimensions"],
"ollama" => vec!["model",
// add dimensions to avoid actually fetching the model from ollama
"dimensions"],
"rest" => vec!["url", "request", "response",
// add dimensions to avoid actually fetching the model from ollama
"dimensions"],
};
let mut value = crate::json!({
"source": source
});
let mandatory_parameters = base_parameters.get(source).unwrap();
for mandatory_parameter in mandatory_parameters {
value[mandatory_parameter] = valid_parameter(source, mandatory_parameter).0;
}
value
}
fn valid_parameter(source: &'static str, parameter: &'static str) -> Value {
match (source, parameter) {
("openAi", "model") => crate::json!("text-embedding-3-small"),
("huggingFace", "model") => crate::json!("sentence-transformers/all-MiniLM-L6-v2"),
(_, "model") => crate::json!("all-minilm"),
(_, "revision") => crate::json!("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"),
(_, "pooling") => crate::json!("forceMean"),
(_, "apiKey") => crate::json!("foo"),
(_, "dimensions") => crate::json!(768),
(_, "binaryQuantized") => crate::json!(false),
(_, "documentTemplate") => crate::json!("toto"),
(_, "documentTemplateMaxBytes") => crate::json!(200),
(_, "url") => crate::json!("http://rest.example/"),
(_, "request") => crate::json!({"text": "{{text}}"}),
(_, "response") => crate::json!({"embedding": "{{embedding}}"}),
(_, "headers") => crate::json!({"custom": "value"}),
(_, "distribution") => crate::json!({"mean": 0.4, "sigma": 0.1}),
_ => panic!("unknown parameter"),
}
}