feat: hopefully last M4 closing
This commit is contained in:
@@ -696,7 +696,7 @@ mod tests {
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http_ok(
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r#"{"data":[{"id":"gpt-4.1-mini","name":"GPT 4.1 mini","context_window":128000,"max_output_tokens":8192,"modalities":["text"]},{"id":"gpt-4.1","modalities":["text","vision"]}]}"#,
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)
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});
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}, 1);
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let models = refresh_model_catalog(&AiEndpointConfig {
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kind: AiEndpointKind::Airplane,
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url: server,
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@@ -722,7 +722,7 @@ mod tests {
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http_ok(
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r#"{"choices":[{"message":{"content":"{\"title\":\"Better title\",\"excerpt\":\"Short summary\",\"slug\":\"better-title\"}"}}]}"#,
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)
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});
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}, 1);
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let db = setup();
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save_endpoint(
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@@ -774,11 +774,177 @@ mod tests {
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assert_eq!(parts[1]["image_url"]["url"], "data:image/jpeg;base64,abc123");
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}
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fn spawn_test_server(handler: impl Fn(String) -> String + Send + 'static) -> String {
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#[test]
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fn run_one_shot_supports_taxonomy_analysis_via_airplane_endpoint() {
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let response = run_airplane_one_shot(
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OneShotRequest {
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operation: OneShotOperation::AnalyzeTaxonomy,
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content: json!({
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"title": "Rust preview parity",
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"excerpt": "Closing M4",
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"content": "Rendering routes and previews",
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"tags": ["rendering"],
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"categories": ["engineering"]
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}),
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},
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r#"{"choices":[{"message":{"content":"{\"tags\":[\"rust\",\"preview\"],\"categories\":[\"engineering\"]}"}}]}"#,
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);
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assert_eq!(
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response,
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OneShotResponse::Taxonomy(TaxonomySuggestion {
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tags: vec!["rust".to_string(), "preview".to_string()],
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categories: vec!["engineering".to_string()],
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})
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);
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}
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#[test]
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fn run_one_shot_supports_post_analysis_via_airplane_endpoint() {
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let response = run_airplane_one_shot(
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OneShotRequest {
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operation: OneShotOperation::AnalyzePost,
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content: json!({"title":"Draft title","excerpt":"","content":"Body"}),
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},
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r#"{"choices":[{"message":{"content":"{\"title\":\"Better title\",\"excerpt\":\"Short summary\",\"slug\":\"better-title\"}"}}]}"#,
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);
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assert_eq!(
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response,
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OneShotResponse::PostAnalysis(PostAnalysisResult {
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title: "Better title".to_string(),
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excerpt: "Short summary".to_string(),
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slug: "better-title".to_string(),
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})
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);
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}
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#[test]
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fn run_one_shot_supports_language_detection_via_airplane_endpoint() {
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let response = run_airplane_one_shot(
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OneShotRequest {
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operation: OneShotOperation::DetectLanguage,
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content: json!({"text": "Bonjour tout le monde"}),
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},
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r#"{"choices":[{"message":{"content":"{\"language_code\":\"fr\"}"}}]}"#,
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);
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assert_eq!(
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response,
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OneShotResponse::LanguageDetection(LanguageDetectionResult {
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language_code: "fr".to_string(),
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})
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);
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}
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#[test]
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fn run_one_shot_supports_post_translation_via_airplane_endpoint() {
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let response = run_airplane_one_shot(
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OneShotRequest {
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operation: OneShotOperation::TranslatePost {
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target_language: "de".to_string(),
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},
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content: json!({
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"title": "Hello",
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"excerpt": "Short summary",
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"content": "Body"
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}),
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},
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r#"{"choices":[{"message":{"content":"{\"title\":\"Hallo\",\"excerpt\":\"Kurzfassung\",\"content\":\"Inhalt\"}"}}]}"#,
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);
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assert_eq!(
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response,
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OneShotResponse::Translation(TranslationResult {
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title: "Hallo".to_string(),
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excerpt: "Kurzfassung".to_string(),
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content: "Inhalt".to_string(),
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})
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);
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}
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#[test]
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fn run_one_shot_supports_image_analysis_via_airplane_endpoint() {
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let response = run_airplane_one_shot(
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OneShotRequest {
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operation: OneShotOperation::AnalyzeImage,
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content: json!({
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"title": "Existing title",
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"alt": "",
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"caption": "",
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"filename": "hero.jpg",
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"mime_type": "image/jpeg",
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"image_data_url": "data:image/jpeg;base64,abc123"
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}),
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},
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r#"{"choices":[{"message":{"content":"{\"title\":\"Hero image\",\"alt\":\"A scenic mountain\",\"caption\":\"Sunrise over the ridge\"}"}}]}"#,
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);
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assert_eq!(
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response,
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OneShotResponse::ImageAnalysis(ImageAnalysisResult {
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title: "Hero image".to_string(),
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alt: "A scenic mountain".to_string(),
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caption: "Sunrise over the ridge".to_string(),
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})
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);
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}
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#[test]
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fn run_one_shot_supports_media_translation_via_airplane_endpoint() {
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let response = run_airplane_one_shot(
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OneShotRequest {
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operation: OneShotOperation::TranslateMedia {
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target_language: "it".to_string(),
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},
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content: json!({
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"title": "Mountain",
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"alt": "Snowy ridge",
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"caption": "Morning light"
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}),
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},
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r#"{"choices":[{"message":{"content":"{\"title\":\"Montagna\",\"alt\":\"Cresta innevata\",\"caption\":\"Luce del mattino\"}"}}]}"#,
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);
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assert_eq!(
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response,
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OneShotResponse::MediaTranslation(MediaTranslationResult {
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title: "Montagna".to_string(),
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alt: "Cresta innevata".to_string(),
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caption: "Luce del mattino".to_string(),
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})
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);
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}
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fn run_airplane_one_shot(request: OneShotRequest, body: &'static str) -> OneShotResponse {
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let server = spawn_test_server(
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move |incoming| {
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assert!(incoming.starts_with("POST /v1/chat/completions HTTP/1.1"));
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http_ok(body)
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},
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1,
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);
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let db = setup();
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save_endpoint(
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db.conn(),
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&AiEndpointConfig {
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kind: AiEndpointKind::Airplane,
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url: server,
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model: "llama3.2".to_string(),
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api_key: None,
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},
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)
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.unwrap();
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run_one_shot(db.conn(), true, &request).unwrap()
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}
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fn spawn_test_server(handler: impl Fn(String) -> String + Send + 'static, request_count: usize) -> String {
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let listener = TcpListener::bind("127.0.0.1:0").unwrap();
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let addr = listener.local_addr().unwrap();
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thread::spawn(move || {
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for stream in listener.incoming().take(2) {
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for stream in listener.incoming().take(request_count) {
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let mut stream = stream.unwrap();
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let mut buffer = [0_u8; 8192];
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let size = stream.read(&mut buffer).unwrap();
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