AppFlowy-Cloud/libs/appflowy-ai-client/tests/chat_test/qa_test.rs

98 lines
2.5 KiB
Rust

use crate::appflowy_ai_client;
use appflowy_ai_client::client::JsonStream;
use appflowy_ai_client::dto::{AIModel, STEAM_ANSWER_KEY};
use futures::stream::StreamExt;
#[tokio::test]
async fn qa_test() {
let client = appflowy_ai_client();
client.health_check().await.unwrap();
let chat_id = uuid::Uuid::new_v4().to_string();
let resp = client
.send_question(&chat_id, "I feel hungry", &AIModel::GPT35, None)
.await
.unwrap();
assert!(!resp.content.is_empty());
let questions = client
.get_related_question(&chat_id, &1, &AIModel::GPT35)
.await
.unwrap()
.items;
println!("questions: {:?}", questions);
assert_eq!(questions.len(), 3)
}
#[tokio::test]
async fn stop_stream_test() {
let client = appflowy_ai_client();
client.health_check().await.unwrap();
let chat_id = uuid::Uuid::new_v4().to_string();
let mut stream = client
.stream_question(&chat_id, "I feel hungry", None, &AIModel::GPT35)
.await
.unwrap();
let mut count = 0;
while let Some(message) = stream.next().await {
if count > 1 {
break;
}
count += 1;
println!("message: {:?}", message);
}
assert_ne!(count, 0);
}
#[tokio::test]
async fn stream_test() {
let client = appflowy_ai_client();
client.health_check().await.unwrap();
let chat_id = uuid::Uuid::new_v4().to_string();
let stream = client
.stream_question_v2(&chat_id, "I feel hungry", None, &AIModel::GPT35)
.await
.unwrap();
let json_stream = JsonStream::<serde_json::Value>::new(stream);
let messages: Vec<String> = json_stream
.filter_map(|item| async {
match item {
Ok(value) => value
.get(STEAM_ANSWER_KEY)
.and_then(|s| s.as_str().map(ToString::to_string)),
Err(_) => None,
}
})
.collect()
.await;
println!("final answer: {}", messages.join(""));
}
#[tokio::test]
async fn download_package_test() {
let client = appflowy_ai_client();
let packages = client.get_local_ai_package("macos").await.unwrap();
assert!(!packages.0.is_empty());
println!("packages: {:?}", packages);
}
#[tokio::test]
async fn get_local_ai_config_test() {
let client = appflowy_ai_client();
let config = client
.get_local_ai_config("macos", Some("0.6.10".to_string()))
.await
.unwrap();
assert!(!config.models.is_empty());
assert!(!config.models[0].embedding_model.download_url.is_empty());
assert!(!config.models[0].chat_model.download_url.is_empty());
assert!(!config.plugin.version.is_empty());
assert!(!config.plugin.url.is_empty());
println!("packages: {:?}", config);
}